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description Publicationkeyboard_double_arrow_right Article , Other literature type 2025 DenmarkPublisher:Wiley Funded by:EC | TALENTEC| TALENTAuthors: Sanne M. Moedt; Kirsten S. Christoffersen; Andreas Westergaard‐Nielsen; Kenneth T. Martinsen; +3 AuthorsSanne M. Moedt; Kirsten S. Christoffersen; Andreas Westergaard‐Nielsen; Kenneth T. Martinsen; Ada Pastor; Niels Jákup Korsgaard; Tenna Riis;ABSTRACTThe Arctic is warming faster than the global average, making it critical to understand how this affects ecological structure and function in streams, which are key Arctic ecosystems. Microbial biofilms are crucial for primary production and decomposition in Arctic streams and support higher trophic levels. However, comprehensive studies across Arctic regions, and in particular within Greenland, are scarce. This study analysed total biomass, autotrophic biomass (chlorophyll a), and the general structure of major autotrophic groups in stream epilithic biofilms across Greenland's subarctic, Low Arctic, and High Arctic regions. Our aim was to identify primary environmental drivers of biofilm across these climate regions. We observed large environmental variation differences in biofilm chlorophyll a concentrations and total biomass across the regions. Cyanobacteria, diatoms, and green algae were present in all regions, with cyanobacteria dominating High Arctic streams. Phosphate and water temperature primarily drove autotrophic biofilm abundance measured as chlorophyll a concentration, while catchment slope and nitrate concentrations influenced total biofilm biomass, with relationships varying by region. Our results suggest increased biofilm accumulation in Greenland streams under projected climate warming, which likely will alter trophic food webs and biogeochemical cycling, with region‐specific responses expected.
Environmental Microb... arrow_drop_down Environmental Microbiology ReportsArticle . 2025 . Peer-reviewedLicense: CC BYData sources: CrossrefCopenhagen University Research Information SystemArticle . 2025Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Environmental Microb... arrow_drop_down Environmental Microbiology ReportsArticle . 2025 . Peer-reviewedLicense: CC BYData sources: CrossrefCopenhagen University Research Information SystemArticle . 2025Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2025 DenmarkPublisher:Wiley Funded by:EC | TALENTEC| TALENTAuthors: Sanne M. Moedt; Kirsten S. Christoffersen; Andreas Westergaard‐Nielsen; Kenneth T. Martinsen; +3 AuthorsSanne M. Moedt; Kirsten S. Christoffersen; Andreas Westergaard‐Nielsen; Kenneth T. Martinsen; Ada Pastor; Niels Jákup Korsgaard; Tenna Riis;ABSTRACTThe Arctic is warming faster than the global average, making it critical to understand how this affects ecological structure and function in streams, which are key Arctic ecosystems. Microbial biofilms are crucial for primary production and decomposition in Arctic streams and support higher trophic levels. However, comprehensive studies across Arctic regions, and in particular within Greenland, are scarce. This study analysed total biomass, autotrophic biomass (chlorophyll a), and the general structure of major autotrophic groups in stream epilithic biofilms across Greenland's subarctic, Low Arctic, and High Arctic regions. Our aim was to identify primary environmental drivers of biofilm across these climate regions. We observed large environmental variation differences in biofilm chlorophyll a concentrations and total biomass across the regions. Cyanobacteria, diatoms, and green algae were present in all regions, with cyanobacteria dominating High Arctic streams. Phosphate and water temperature primarily drove autotrophic biofilm abundance measured as chlorophyll a concentration, while catchment slope and nitrate concentrations influenced total biofilm biomass, with relationships varying by region. Our results suggest increased biofilm accumulation in Greenland streams under projected climate warming, which likely will alter trophic food webs and biogeochemical cycling, with region‐specific responses expected.
Environmental Microb... arrow_drop_down Environmental Microbiology ReportsArticle . 2025 . Peer-reviewedLicense: CC BYData sources: CrossrefCopenhagen University Research Information SystemArticle . 2025Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Environmental Microb... arrow_drop_down Environmental Microbiology ReportsArticle . 2025 . Peer-reviewedLicense: CC BYData sources: CrossrefCopenhagen University Research Information SystemArticle . 2025Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Preprint 2021Embargo end date: 01 Jan 2022 United Kingdom, Norway, United Kingdom, Norway, Italy, United Kingdom, Italy, Italy, Spain, Qatar, United Kingdom, Denmark, Italy, Denmark, Italy, Italy, Germany, Netherlands, Finland, Italy, Sweden, Netherlands, Germany, Netherlands, Spain, Spain, Netherlands, Spain, Italy, Lithuania, Germany, Norway, Spain, Italy, Germany, Norway, Netherlands, Germany, United Kingdom, Italy, United Kingdom, Italy, Netherlands, Switzerland, Netherlands, Spain, Italy, Belgium, Spain, Netherlands, Spain, Lithuania, France, Germany, Sweden, United States, Belgium, Germany, Italy, Italy, Netherlands, Germany, Netherlands, Qatar, United Kingdom, United KingdomPublisher:Wiley Funded by:EC | eLTER PLUS, EC | LEAP-AGRI, ARC | Discovery Early Career Re... +32 projectsEC| eLTER PLUS ,EC| LEAP-AGRI ,ARC| Discovery Early Career Researcher Award - Grant ID: DE180100570 ,EC| DESIRA ,ANR| ASICS ,SNSF| ICOS-CH Phase 2 ,NSF| Integrating species traits into species pools: A multi-scale approach to understanding community assembly ,EC| SUPER-G ,AKA| Atmosphere and Climate Competence Center (ACCC) ,UKRI| E3 - Edinburgh Earth and Environment - Doctoral Training Partnership ,UKRI| Climate as a driver of shrub expansion and tundra greening ,UKRI| SCORE: Supply Chain Optimisation for demand Response Efficiency ,EC| FORMICA ,RSF| The anatomical and physiological response of Scots pine xylem formation to variable water availability ,SNSF| Climate change impacts on biodiversity: From macro- to microclimate ,EC| AIAS ,NSERC ,RCN| Effects of herbivory and warming on tundra plant communities ,RCN| The role of Functional group interactions in mediating climate change impacts on the Carbon dynamics and Biodiversity of alpine ecosystems ,EC| AfricanBioServices ,EC| ECLAIRE ,ARC| Discovery Early Career Researcher Award - Grant ID: DE140101611 ,NWO| Specialists at work: how decomposers break down plant litter ,EC| PERMTHAW ,EC| ICOS ,EC| NICH ,SNSF| How does forest microclimate affect biodiversity dynamics? ,DFG| EarthShape: Earth Surface Shaping by Biota ,RCN| The effect of snow depth and snow melt timing on arctic terrestrial ecosystems. ,EC| SustainSAHEL ,UKRI| Forecasting the impacts of drought on human-modified tropical forests by integrating models with data ,UKRI| UK Status, Change and Projections of the Environment (UK-SCaPE) ,ANR| IMPRINT ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,ANR| ODYSSEEWinkler, Manuela; Plichta, Roman; Buysse, Pauline; Lohila, Annalea; Spicher, Fabien; Boeckx, Pascal; Wild, Jan; Feigenwinter, Iris; Olejnik, Janusz; Risch, Anita; Khuroo, Anzar; Lynn, Joshua; di Cella, Umberto; Schmidt, Marius; Urbaniak, Marek; Marchesini, Luca; Govaert, Sanne; Uogintas, Domas; Assis, Rafael; Medinets, Volodymyr; Abdalaze, Otar; Varlagin, Andrej; Dolezal, Jiri; Myers, Jonathan; Randall, Krystal; Bauters, Marijn; Jimenez, Juan; Stoll, Stefan; Petraglia, Alessandro; Mazzolari, Ana; Ogaya, Romà; Tyystjärvi, Vilna; Hammerle, Albin; Wipf, Sonja; Lorite, Juan; Fanin, Nicolas; Benavides, Juan; Scholten, Thomas; Yu, Zicheng; Veen, G.; Treier, Urs; Candan, Onur; Bell, Michael; Hörtnagl, Lukas; Siebicke, Lukas; Vives-Ingla, Maria; Eugster, Werner; Grelle, Achim; Stemkovski, Michael; Theurillat, Jean-Paul; Matula, Radim; Dorrepaal, Ellen; Steinbrecher, Rainer; Alatalo, Juha; Fenu, Giuseppe; Arzac, Alberto; Homeier, Jürgen; Porro, Francesco; Robinson, Sharon; Ghosn, Dany; Haugum, Siri; Ziemblińska, Klaudia; Camargo, José; Zhao, Peng; Niittynen, Pekka; Liljebladh, Bengt; Normand, Signe; Dias, Arildo; Larson, Christian; Peichl, Matthias; Collier, Laura; Myers-Smith, Isla; Zong, Shengwei; Kašpar, Vít; Cooper, Elisabeth; Haider, Sylvia; von Oppen, Jonathan; Cutini, Maurizio; Benito-Alonso, José-Luis; Luoto, Miska; Klemedtsson, Leif; Higgens, Rebecca; Zhang, Jian; Speed, James; Nijs, Ivan; Macek, Martin; Steinwandter, Michael; Poyatos, Rafael; Niedrist, Georg; Curasi, Salvatore; Yang, Yan; Dengler, Jürgen; Géron, Charly; de Pablo, Miguel; Xenakis, Georgios; Kreyling, Juergen; Forte, Tai; Bailey, Joseph; Knohl, Alexander; Goulding, Keith; Wilkinson, Matthew; Kljun, Natascha; Roupsard, Olivier; Stiegler, Christian; Verbruggen, Erik; Wingate, Lisa; Lamprecht, Andrea; Hamid, Maroof; Rossi, Graziano; Descombes, Patrice; Hrbacek, Filip; Bjornsdottir, Katrin; Poulenard, Jérôme; Meeussen, Camille; Guénard, Benoit; Venn, Susanna; Dimarco, Romina; Man, Matěj; Scharnweber, Tobias; Chown, Steven; Pio, Casimiro; Way, Robert; Erickson, Todd; Fernández-Pascual, Eduardo; Pușcaș, Mihai; Orsenigo, Simone; Di Musciano, Michele; Enquist, Brian; Newling, Emily; Tagesson, Torbern; Kemppinen, Julia; Serra-Diaz, Josep; Gottschall, Felix; Schuchardt, Max; Pitacco, Andrea; Jump, Alistair; Exton, Dan; Carnicer, Jofre; Aschero, Valeria; Urban, Anastasiya; Daskalova, Gergana; Santos, Cinthya; Goeckede, Mathias; Bruna, Josef; Andrews, Christopher; Jónsdóttir, Ingibjörg; Casanova-Katny, Angélica; Moriana-Armendariz, Mikel; Ewers, Robert; Pärtel, Meelis; Sagot, Clotilde; Herbst, Mathias; De Frenne, Pieter; Milbau, Ann; Gobin, Anne; Alexander, Jake; Kopecký, Martin; Buchmann, Nina; Kotowska, Martyna; Puchalka, Radoslaw; Penuelas, Josep; Gigauri, Khatuna; Prokushkin, Anatoly; Moiseev, Pavel; Jentsch, Anke; Klisz, Marcin; Barrio, Isabel; Ammann, Christof; Panov, Alexey; Van Geel, Maarten; Finckh, Manfred; Vaccari, Francesco; Erschbamer, Brigitta; Backes, Amanda; Robroek, Bjorn; Campoe, Otávio; Ahmadian, Negar; Boike, Julia; Thomas, Haydn; Pastor, Ada; Smith, Stuart; Pauli, Harald; Kollár, Jozef; de Cássia Guimarães Mesquita, Rita; Michaletz, Sean; Fuentes-Lillo, Eduardo; Urban, Josef; Greenwood, Sarah; Lens, Luc; Van de Vondel, Stijn; Vitale, Luca; Remmele, Sabine; Naujokaitis-Lewis, Ilona; Meusburger, Katrin; Cremonese, Edoardo; Barros, Agustina; Bokhorst, Stef; Svátek, Martin; Allonsius, Camille; Høye, Toke;doi: 10.1111/gcb.16060 , 10.32942/osf.io/pksqw , 10.3929/ethz-b-000523670 , 10.5445/ir/1000143688 , 10.21256/zhaw-24832 , 10.17863/cam.81331
pmid: 34967074
pmc: PMC9303923
handle: https://repository.ubn.ru.nl/handle/2066/286285 , 1871.1/b0fc7fdf-22e3-45ef-8d70-30d75b7f5fba , 20.500.11755/f67625de-3e1f-4112-899d-3dae951cfbfc , 11250/2986065 , 11250/2983746 , 10852/91639 , 10037/24329 , 10037/28344 , 20.500.14243/445619 , 10261/358672 , 2066/286285 , 10481/73202 , 10576/30034 , 11250/2979811 , 10067/1859610151162165141 , 10651/64961 , 1983/7aa6df09-efc2-4f70-8bec-268ab675f242 , 11590/476830 , 10449/74200 , 11584/332967 , 11695/119970 , 11697/178559 , 1854/LU-8743335 , 10017/50911 , 11381/2931752 , 11571/1450206 , 10044/1/107406 , 1893/33794 , 10900/135817
doi: 10.1111/gcb.16060 , 10.32942/osf.io/pksqw , 10.3929/ethz-b-000523670 , 10.5445/ir/1000143688 , 10.21256/zhaw-24832 , 10.17863/cam.81331
pmid: 34967074
pmc: PMC9303923
handle: https://repository.ubn.ru.nl/handle/2066/286285 , 1871.1/b0fc7fdf-22e3-45ef-8d70-30d75b7f5fba , 20.500.11755/f67625de-3e1f-4112-899d-3dae951cfbfc , 11250/2986065 , 11250/2983746 , 10852/91639 , 10037/24329 , 10037/28344 , 20.500.14243/445619 , 10261/358672 , 2066/286285 , 10481/73202 , 10576/30034 , 11250/2979811 , 10067/1859610151162165141 , 10651/64961 , 1983/7aa6df09-efc2-4f70-8bec-268ab675f242 , 11590/476830 , 10449/74200 , 11584/332967 , 11695/119970 , 11697/178559 , 1854/LU-8743335 , 10017/50911 , 11381/2931752 , 11571/1450206 , 10044/1/107406 , 1893/33794 , 10900/135817
AbstractResearch in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1‐km2resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse‐grained air temperature estimates from ERA5‐Land (an atmospheric reanalysis by the European Centre for Medium‐Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome‐specific offsets emphasize that the projected impacts of climate and climate change on near‐surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil‐related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.
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For further information contact us at helpdesk@openaire.eu188 citations 188 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Preprint 2021Embargo end date: 01 Jan 2022 United Kingdom, Norway, United Kingdom, Norway, Italy, United Kingdom, Italy, Italy, Spain, Qatar, United Kingdom, Denmark, Italy, Denmark, Italy, Italy, Germany, Netherlands, Finland, Italy, Sweden, Netherlands, Germany, Netherlands, Spain, Spain, Netherlands, Spain, Italy, Lithuania, Germany, Norway, Spain, Italy, Germany, Norway, Netherlands, Germany, United Kingdom, Italy, United Kingdom, Italy, Netherlands, Switzerland, Netherlands, Spain, Italy, Belgium, Spain, Netherlands, Spain, Lithuania, France, Germany, Sweden, United States, Belgium, Germany, Italy, Italy, Netherlands, Germany, Netherlands, Qatar, United Kingdom, United KingdomPublisher:Wiley Funded by:EC | eLTER PLUS, EC | LEAP-AGRI, ARC | Discovery Early Career Re... +32 projectsEC| eLTER PLUS ,EC| LEAP-AGRI ,ARC| Discovery Early Career Researcher Award - Grant ID: DE180100570 ,EC| DESIRA ,ANR| ASICS ,SNSF| ICOS-CH Phase 2 ,NSF| Integrating species traits into species pools: A multi-scale approach to understanding community assembly ,EC| SUPER-G ,AKA| Atmosphere and Climate Competence Center (ACCC) ,UKRI| E3 - Edinburgh Earth and Environment - Doctoral Training Partnership ,UKRI| Climate as a driver of shrub expansion and tundra greening ,UKRI| SCORE: Supply Chain Optimisation for demand Response Efficiency ,EC| FORMICA ,RSF| The anatomical and physiological response of Scots pine xylem formation to variable water availability ,SNSF| Climate change impacts on biodiversity: From macro- to microclimate ,EC| AIAS ,NSERC ,RCN| Effects of herbivory and warming on tundra plant communities ,RCN| The role of Functional group interactions in mediating climate change impacts on the Carbon dynamics and Biodiversity of alpine ecosystems ,EC| AfricanBioServices ,EC| ECLAIRE ,ARC| Discovery Early Career Researcher Award - Grant ID: DE140101611 ,NWO| Specialists at work: how decomposers break down plant litter ,EC| PERMTHAW ,EC| ICOS ,EC| NICH ,SNSF| How does forest microclimate affect biodiversity dynamics? ,DFG| EarthShape: Earth Surface Shaping by Biota ,RCN| The effect of snow depth and snow melt timing on arctic terrestrial ecosystems. ,EC| SustainSAHEL ,UKRI| Forecasting the impacts of drought on human-modified tropical forests by integrating models with data ,UKRI| UK Status, Change and Projections of the Environment (UK-SCaPE) ,ANR| IMPRINT ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,ANR| ODYSSEEWinkler, Manuela; Plichta, Roman; Buysse, Pauline; Lohila, Annalea; Spicher, Fabien; Boeckx, Pascal; Wild, Jan; Feigenwinter, Iris; Olejnik, Janusz; Risch, Anita; Khuroo, Anzar; Lynn, Joshua; di Cella, Umberto; Schmidt, Marius; Urbaniak, Marek; Marchesini, Luca; Govaert, Sanne; Uogintas, Domas; Assis, Rafael; Medinets, Volodymyr; Abdalaze, Otar; Varlagin, Andrej; Dolezal, Jiri; Myers, Jonathan; Randall, Krystal; Bauters, Marijn; Jimenez, Juan; Stoll, Stefan; Petraglia, Alessandro; Mazzolari, Ana; Ogaya, Romà; Tyystjärvi, Vilna; Hammerle, Albin; Wipf, Sonja; Lorite, Juan; Fanin, Nicolas; Benavides, Juan; Scholten, Thomas; Yu, Zicheng; Veen, G.; Treier, Urs; Candan, Onur; Bell, Michael; Hörtnagl, Lukas; Siebicke, Lukas; Vives-Ingla, Maria; Eugster, Werner; Grelle, Achim; Stemkovski, Michael; Theurillat, Jean-Paul; Matula, Radim; Dorrepaal, Ellen; Steinbrecher, Rainer; Alatalo, Juha; Fenu, Giuseppe; Arzac, Alberto; Homeier, Jürgen; Porro, Francesco; Robinson, Sharon; Ghosn, Dany; Haugum, Siri; Ziemblińska, Klaudia; Camargo, José; Zhao, Peng; Niittynen, Pekka; Liljebladh, Bengt; Normand, Signe; Dias, Arildo; Larson, Christian; Peichl, Matthias; Collier, Laura; Myers-Smith, Isla; Zong, Shengwei; Kašpar, Vít; Cooper, Elisabeth; Haider, Sylvia; von Oppen, Jonathan; Cutini, Maurizio; Benito-Alonso, José-Luis; Luoto, Miska; Klemedtsson, Leif; Higgens, Rebecca; Zhang, Jian; Speed, James; Nijs, Ivan; Macek, Martin; Steinwandter, Michael; Poyatos, Rafael; Niedrist, Georg; Curasi, Salvatore; Yang, Yan; Dengler, Jürgen; Géron, Charly; de Pablo, Miguel; Xenakis, Georgios; Kreyling, Juergen; Forte, Tai; Bailey, Joseph; Knohl, Alexander; Goulding, Keith; Wilkinson, Matthew; Kljun, Natascha; Roupsard, Olivier; Stiegler, Christian; Verbruggen, Erik; Wingate, Lisa; Lamprecht, Andrea; Hamid, Maroof; Rossi, Graziano; Descombes, Patrice; Hrbacek, Filip; Bjornsdottir, Katrin; Poulenard, Jérôme; Meeussen, Camille; Guénard, Benoit; Venn, Susanna; Dimarco, Romina; Man, Matěj; Scharnweber, Tobias; Chown, Steven; Pio, Casimiro; Way, Robert; Erickson, Todd; Fernández-Pascual, Eduardo; Pușcaș, Mihai; Orsenigo, Simone; Di Musciano, Michele; Enquist, Brian; Newling, Emily; Tagesson, Torbern; Kemppinen, Julia; Serra-Diaz, Josep; Gottschall, Felix; Schuchardt, Max; Pitacco, Andrea; Jump, Alistair; Exton, Dan; Carnicer, Jofre; Aschero, Valeria; Urban, Anastasiya; Daskalova, Gergana; Santos, Cinthya; Goeckede, Mathias; Bruna, Josef; Andrews, Christopher; Jónsdóttir, Ingibjörg; Casanova-Katny, Angélica; Moriana-Armendariz, Mikel; Ewers, Robert; Pärtel, Meelis; Sagot, Clotilde; Herbst, Mathias; De Frenne, Pieter; Milbau, Ann; Gobin, Anne; Alexander, Jake; Kopecký, Martin; Buchmann, Nina; Kotowska, Martyna; Puchalka, Radoslaw; Penuelas, Josep; Gigauri, Khatuna; Prokushkin, Anatoly; Moiseev, Pavel; Jentsch, Anke; Klisz, Marcin; Barrio, Isabel; Ammann, Christof; Panov, Alexey; Van Geel, Maarten; Finckh, Manfred; Vaccari, Francesco; Erschbamer, Brigitta; Backes, Amanda; Robroek, Bjorn; Campoe, Otávio; Ahmadian, Negar; Boike, Julia; Thomas, Haydn; Pastor, Ada; Smith, Stuart; Pauli, Harald; Kollár, Jozef; de Cássia Guimarães Mesquita, Rita; Michaletz, Sean; Fuentes-Lillo, Eduardo; Urban, Josef; Greenwood, Sarah; Lens, Luc; Van de Vondel, Stijn; Vitale, Luca; Remmele, Sabine; Naujokaitis-Lewis, Ilona; Meusburger, Katrin; Cremonese, Edoardo; Barros, Agustina; Bokhorst, Stef; Svátek, Martin; Allonsius, Camille; Høye, Toke;doi: 10.1111/gcb.16060 , 10.32942/osf.io/pksqw , 10.3929/ethz-b-000523670 , 10.5445/ir/1000143688 , 10.21256/zhaw-24832 , 10.17863/cam.81331
pmid: 34967074
pmc: PMC9303923
handle: https://repository.ubn.ru.nl/handle/2066/286285 , 1871.1/b0fc7fdf-22e3-45ef-8d70-30d75b7f5fba , 20.500.11755/f67625de-3e1f-4112-899d-3dae951cfbfc , 11250/2986065 , 11250/2983746 , 10852/91639 , 10037/24329 , 10037/28344 , 20.500.14243/445619 , 10261/358672 , 2066/286285 , 10481/73202 , 10576/30034 , 11250/2979811 , 10067/1859610151162165141 , 10651/64961 , 1983/7aa6df09-efc2-4f70-8bec-268ab675f242 , 11590/476830 , 10449/74200 , 11584/332967 , 11695/119970 , 11697/178559 , 1854/LU-8743335 , 10017/50911 , 11381/2931752 , 11571/1450206 , 10044/1/107406 , 1893/33794 , 10900/135817
doi: 10.1111/gcb.16060 , 10.32942/osf.io/pksqw , 10.3929/ethz-b-000523670 , 10.5445/ir/1000143688 , 10.21256/zhaw-24832 , 10.17863/cam.81331
pmid: 34967074
pmc: PMC9303923
handle: https://repository.ubn.ru.nl/handle/2066/286285 , 1871.1/b0fc7fdf-22e3-45ef-8d70-30d75b7f5fba , 20.500.11755/f67625de-3e1f-4112-899d-3dae951cfbfc , 11250/2986065 , 11250/2983746 , 10852/91639 , 10037/24329 , 10037/28344 , 20.500.14243/445619 , 10261/358672 , 2066/286285 , 10481/73202 , 10576/30034 , 11250/2979811 , 10067/1859610151162165141 , 10651/64961 , 1983/7aa6df09-efc2-4f70-8bec-268ab675f242 , 11590/476830 , 10449/74200 , 11584/332967 , 11695/119970 , 11697/178559 , 1854/LU-8743335 , 10017/50911 , 11381/2931752 , 11571/1450206 , 10044/1/107406 , 1893/33794 , 10900/135817
AbstractResearch in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1‐km2resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse‐grained air temperature estimates from ERA5‐Land (an atmospheric reanalysis by the European Centre for Medium‐Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome‐specific offsets emphasize that the projected impacts of climate and climate change on near‐surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil‐related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.
CORE arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2022License: CC BY NCFull-Text: https://hal.science/hal-03518443Data sources: Bielefeld Academic Search Engine (BASE)Fondazione Edmund Mach: IRIS-OpenPubArticle . 2022Full-Text: http://hdl.handle.net/10449/74200Data sources: Bielefeld Academic Search Engine (BASE)Université Grenoble Alpes: HALArticle . 2022License: CC BY NCFull-Text: https://hal.science/hal-03518443Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2022Full-Text: https://hdl.handle.net/11381/2931752Data sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2022License: CC BY NCFull-Text: http://hdl.handle.net/10852/91639Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2021License: CC BY NCFull-Text: https://hdl.handle.net/11250/2983746Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2022License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)University of Freiburg: FreiDokArticle . 2022Full-Text: https://freidok.uni-freiburg.de/data/244912Data sources: Bielefeld Academic Search Engine (BASE)Archive Ouverte de l'Université Rennes (HAL)Article . 2022License: CC BY NCFull-Text: https://hal.science/hal-03518443Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2022License: CC BY NCFull-Text: https://hal.science/hal-03518443Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository of University of Zaragoza (ZAGUAN)Article . 2022License: CC BY NCFull-Text: http://zaguan.unizar.es/record/125734Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2022License: CC BY NCFull-Text: https://escholarship.org/uc/item/6hg3313zData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2021License: CC BY NCFull-Text: http://hdl.handle.net/10044/1/107406Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2022License: CC BY NCFull-Text: http://hdl.handle.net/1893/33794Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022License: CC BY NCFull-Text: https://hal.science/hal-03518443Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2022License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.32942/osf.i...Article . 2021 . Peer-reviewedLicense: CC BY SAData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NCData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NCData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NCData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2022 . 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For further information contact us at helpdesk@openaire.eu188 citations 188 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Italy, Austria, Sweden, Sweden, Portugal, Austria, Italy, Austria, Portugal, France, GermanyPublisher:Springer Science and Business Media LLC Funded by:FCT | SFRH/BD/115030/2016, FCT | SFRH/BD/131924/2017, EC | CHROMEFCT| SFRH/BD/115030/2016 ,FCT| SFRH/BD/131924/2017 ,EC| CHROMEMagdalena Nagler; Xisca Timoner; Xisca Timoner; Katrin Attermeyer; Katrin Attermeyer; Sophie Cauvy-Fraunié; Sonia Herrero Ortega; Juliana Monteiro; Francesca Pilotto; Vesela Evtimova; Anne Deininger; Anne Deininger; David H. Fletcher; Laura Barral-Fraga; Ana Portela; Elvira de Eyto; Ada Pastor; Ada Pastor; Ada Pastor; Ferran Romero; Ferran Romero; Tea Bašić; Tea Bašić; Danny Sheath; Danny Sheath; Nikolay Simov; Thomas Fuss; Christian Noss; Alberto Doretto; Joachim Audet; Joachim Audet; Anna Freixa; Anna Freixa; Georgina M. A. Busst; Marcus Klaus; Marcus Klaus; Brian C. Doyle; Jordi-René Mor; Jordi-René Mor; Nina Pansch; Josephine Pegg; Josephine Pegg; Clara Mendoza-Lera; José L. J. Ledesma; José L. J. Ledesma; José L. J. Ledesma; Liu Liu; Liu Liu; Georg H. Niedrist; Catherine Gutmann Roberts; Anna C. Nydahl; Lyubomir Kenderov; Stefano Fenoglio; Jeremy Fonvielle; Martin Rulík; Peter Gilbert; Clara Romero González-Quijano; Joan Pere Casas-Ruiz; Joan Pere Casas-Ruiz; Núria Catalán; Pascal Bodmer; Pascal Bodmer; Pascal Bodmer; Miriam Colls; Miriam Colls; Adam Bednařík;handle: 11353/10.1536527 , 2318/1799544 , 11579/142540
AbstractGlobally, inland waters emit over 2 Pg of carbon per year as carbon dioxide, of which the majority originates from streams and rivers. Despite the global significance of fluvial carbon dioxide emissions, little is known about their diel dynamics. Here we present a large-scale assessment of day- and night-time carbon dioxide fluxes at the water-air interface across 34 European streams. We directly measured fluxes four times between October 2016 and July 2017 using drifting chambers. Median fluxes are 1.4 and 2.1 mmol m−2 h−1 at midday and midnight, respectively, with night fluxes exceeding those during the day by 39%. We attribute diel carbon dioxide flux variability mainly to changes in the water partial pressure of carbon dioxide. However, no consistent drivers could be identified across sites. Our findings highlight widespread day-night changes in fluvial carbon dioxide fluxes and suggest that the time of day greatly influences measured carbon dioxide fluxes across European streams.
CORE arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Full-Text: http://hdl.handle.net/11579/142540Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPermanent Hosting, Archiving and Indexing of Digital Resources and AssetsArticle . 2021License: CC BYUniversidade de Lisboa: Repositório.ULArticle . 2021License: CC BYData sources: Universidade de Lisboa: Repositório.ULPublikationer från Umeå universitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Umeå universitetPublikationer från Uppsala UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Uppsala UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu39 citations 39 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Full-Text: http://hdl.handle.net/11579/142540Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPermanent Hosting, Archiving and Indexing of Digital Resources and AssetsArticle . 2021License: CC BYUniversidade de Lisboa: Repositório.ULArticle . 2021License: CC BYData sources: Universidade de Lisboa: Repositório.ULPublikationer från Umeå universitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Umeå universitetPublikationer från Uppsala UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Uppsala UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s43247-021-00192-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Italy, Austria, Sweden, Sweden, Portugal, Austria, Italy, Austria, Portugal, France, GermanyPublisher:Springer Science and Business Media LLC Funded by:FCT | SFRH/BD/115030/2016, FCT | SFRH/BD/131924/2017, EC | CHROMEFCT| SFRH/BD/115030/2016 ,FCT| SFRH/BD/131924/2017 ,EC| CHROMEMagdalena Nagler; Xisca Timoner; Xisca Timoner; Katrin Attermeyer; Katrin Attermeyer; Sophie Cauvy-Fraunié; Sonia Herrero Ortega; Juliana Monteiro; Francesca Pilotto; Vesela Evtimova; Anne Deininger; Anne Deininger; David H. Fletcher; Laura Barral-Fraga; Ana Portela; Elvira de Eyto; Ada Pastor; Ada Pastor; Ada Pastor; Ferran Romero; Ferran Romero; Tea Bašić; Tea Bašić; Danny Sheath; Danny Sheath; Nikolay Simov; Thomas Fuss; Christian Noss; Alberto Doretto; Joachim Audet; Joachim Audet; Anna Freixa; Anna Freixa; Georgina M. A. Busst; Marcus Klaus; Marcus Klaus; Brian C. Doyle; Jordi-René Mor; Jordi-René Mor; Nina Pansch; Josephine Pegg; Josephine Pegg; Clara Mendoza-Lera; José L. J. Ledesma; José L. J. Ledesma; José L. J. Ledesma; Liu Liu; Liu Liu; Georg H. Niedrist; Catherine Gutmann Roberts; Anna C. Nydahl; Lyubomir Kenderov; Stefano Fenoglio; Jeremy Fonvielle; Martin Rulík; Peter Gilbert; Clara Romero González-Quijano; Joan Pere Casas-Ruiz; Joan Pere Casas-Ruiz; Núria Catalán; Pascal Bodmer; Pascal Bodmer; Pascal Bodmer; Miriam Colls; Miriam Colls; Adam Bednařík;handle: 11353/10.1536527 , 2318/1799544 , 11579/142540
AbstractGlobally, inland waters emit over 2 Pg of carbon per year as carbon dioxide, of which the majority originates from streams and rivers. Despite the global significance of fluvial carbon dioxide emissions, little is known about their diel dynamics. Here we present a large-scale assessment of day- and night-time carbon dioxide fluxes at the water-air interface across 34 European streams. We directly measured fluxes four times between October 2016 and July 2017 using drifting chambers. Median fluxes are 1.4 and 2.1 mmol m−2 h−1 at midday and midnight, respectively, with night fluxes exceeding those during the day by 39%. We attribute diel carbon dioxide flux variability mainly to changes in the water partial pressure of carbon dioxide. However, no consistent drivers could be identified across sites. Our findings highlight widespread day-night changes in fluvial carbon dioxide fluxes and suggest that the time of day greatly influences measured carbon dioxide fluxes across European streams.
CORE arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Full-Text: http://hdl.handle.net/11579/142540Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPermanent Hosting, Archiving and Indexing of Digital Resources and AssetsArticle . 2021License: CC BYUniversidade de Lisboa: Repositório.ULArticle . 2021License: CC BYData sources: Universidade de Lisboa: Repositório.ULPublikationer från Umeå universitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Umeå universitetPublikationer från Uppsala UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Uppsala UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s43247-021-00192-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu39 citations 39 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Full-Text: http://hdl.handle.net/11579/142540Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPermanent Hosting, Archiving and Indexing of Digital Resources and AssetsArticle . 2021License: CC BYUniversidade de Lisboa: Repositório.ULArticle . 2021License: CC BYData sources: Universidade de Lisboa: Repositório.ULPublikationer från Umeå universitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Umeå universitetPublikationer från Uppsala UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Uppsala UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s43247-021-00192-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Springer Science and Business Media LLC Louis J. Skovsholt; Ada Pastor; Catherine L. Docherty; Alexander M. Milner; Tenna Riis;Global change is predicted to have a marked impact on freshwater ecosystems in the High Arctic, including temperature increase, enhanced precipitation, permafrost degradation and increased vegetation cover. These changes in river catchments can alter flow regime, solute transport to streams and substantially affect stream ecosystem functioning. The objective of this study was to evaluate changes in stream functioning in a high-Arctic stream in relation to changes in discharge, and runoff flow path. We measured environmental factors, biofilm structure, nutrient uptake rates and metabolism. We studied three reaches in a headwater stream in NE Greenland with different catchment characteristics in early and late summer (during two different years) to evaluate the potential influence of environmental change on Arctic stream ecosystem functioning. Highest nutrient uptake, primary production and ecosystem respiration was found in late summer showing that streams are more efficient at retaining nutrients and have higher autotrophic production, likely due to less impact of snowmelt, and lower discharge increasing the surface to volume ratio between streambed and water column. Nutrient uptake rates in late summer from high-Arctic tundra streams were comparable to uptake rates in temperate pristine streams, likely due to no shading by bank vegetation and longer days in the high-Arctic summer compared to temperate streams. Overall, the results of this study aids in the endeavor of predicting how climate-derived changes will affect in-stream nutrient uptake and metabolism in high-Arctic streams. The results suggest that their capacity to transport, cycle and retain carbon and nutrient may increase if the importance of soil water flow paths for streams also increase, thus with effect to stream trophic relations and solute export to coastal areas.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-020-00719-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-020-00719-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Springer Science and Business Media LLC Louis J. Skovsholt; Ada Pastor; Catherine L. Docherty; Alexander M. Milner; Tenna Riis;Global change is predicted to have a marked impact on freshwater ecosystems in the High Arctic, including temperature increase, enhanced precipitation, permafrost degradation and increased vegetation cover. These changes in river catchments can alter flow regime, solute transport to streams and substantially affect stream ecosystem functioning. The objective of this study was to evaluate changes in stream functioning in a high-Arctic stream in relation to changes in discharge, and runoff flow path. We measured environmental factors, biofilm structure, nutrient uptake rates and metabolism. We studied three reaches in a headwater stream in NE Greenland with different catchment characteristics in early and late summer (during two different years) to evaluate the potential influence of environmental change on Arctic stream ecosystem functioning. Highest nutrient uptake, primary production and ecosystem respiration was found in late summer showing that streams are more efficient at retaining nutrients and have higher autotrophic production, likely due to less impact of snowmelt, and lower discharge increasing the surface to volume ratio between streambed and water column. Nutrient uptake rates in late summer from high-Arctic tundra streams were comparable to uptake rates in temperate pristine streams, likely due to no shading by bank vegetation and longer days in the high-Arctic summer compared to temperate streams. Overall, the results of this study aids in the endeavor of predicting how climate-derived changes will affect in-stream nutrient uptake and metabolism in high-Arctic streams. The results suggest that their capacity to transport, cycle and retain carbon and nutrient may increase if the importance of soil water flow paths for streams also increase, thus with effect to stream trophic relations and solute export to coastal areas.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-020-00719-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:IOP Publishing Funded by:EC | GreenFeedBackEC| GreenFeedBackShannon L Speir; Jennifer L Tank; Ada Pastor; Marc F Muller; Mikhail Mastepanov; Tenna Riis;Abstract Climate change is expected to alter nitrogen (N) export from Arctic rivers, with potential implications for fragile coastal ecosystems and fisheries. Yet, the directionality of change is poorly understood, as increased mobilization of N in a ‘thawing’ Arctic is countered by higher rates of vegetative uptake in a ‘greening’ Arctic, particularly in the understudied region of Greenland. We use an unprecedented dataset of long-term (n = 18 years) river chemistry, streamflow, and catchment-scale changes in snow and vegetation to document changing riverine N loss in Greenland. We documented decreasing inorganic and organic N loads, linked to decreasing snow stores, warming soils, and enhanced plant uptake. Higher variability in N export across years also points to the increasing role of high flow events in driving downstream N loss. This alteration in N cycling may significantly reduce both inorganic and organic N transport across the terrestrial-aquatic boundary during the open water season in a rapidly warming Greenland.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ad3e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ad3e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:IOP Publishing Funded by:EC | GreenFeedBackEC| GreenFeedBackShannon L Speir; Jennifer L Tank; Ada Pastor; Marc F Muller; Mikhail Mastepanov; Tenna Riis;Abstract Climate change is expected to alter nitrogen (N) export from Arctic rivers, with potential implications for fragile coastal ecosystems and fisheries. Yet, the directionality of change is poorly understood, as increased mobilization of N in a ‘thawing’ Arctic is countered by higher rates of vegetative uptake in a ‘greening’ Arctic, particularly in the understudied region of Greenland. We use an unprecedented dataset of long-term (n = 18 years) river chemistry, streamflow, and catchment-scale changes in snow and vegetation to document changing riverine N loss in Greenland. We documented decreasing inorganic and organic N loads, linked to decreasing snow stores, warming soils, and enhanced plant uptake. Higher variability in N export across years also points to the increasing role of high flow events in driving downstream N loss. This alteration in N cycling may significantly reduce both inorganic and organic N transport across the terrestrial-aquatic boundary during the open water season in a rapidly warming Greenland.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ad3e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ad3e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Paraskevi, Manolaki; Pau, Gimenez Grau; Ada, Pastor; Annette, Baattrup Pedersen; +1 AuthorsParaskevi, Manolaki; Pau, Gimenez Grau; Ada, Pastor; Annette, Baattrup Pedersen; Tenna, Riis;pmid: 35447446
Problems related to extensive macrophyte growth are widespread both in modified and man-made canals and streams, and in streams with natural morphology and rich vegetation. The weed cutting is a common management practice in order to reduce flood risk and enhance water conveyance. Although the short- and long-term impacts on the stream physical habitats and biota have been extensively studied, only little information exists on the effects of weed cutting on ecosystem metabolism, especially for larger rivers. This study aims to quantify effects of weed cutting on metabolic rates in a large lowland river in Denmark. We measured Gross Primary Production (GPP), Ecosystem Respiration (ER) and physical parameters (water depth, discharge, water velocity and reaeration rate) one week prior and 2-6 weeks after weed cutting in 2014 and 2020. Physical river conditions changed significantly after the removal of approximately 60% of macrophytic volume, and a significant reduction in water depth and increased water velocity was recorded. We found an immediate 38% and 61% reduction in GPP and 28% and 35% reduction in ER after weed cutting in 2014 and 2020 respectively. We also found that the metabolic rates did not recover to pre-weed cutting levels within 2-6 weeks after weed cutting. The higher decline in GPP compared to that in ER indicates that the heterotrophic contribution to ER was higher compared to the autotrophic contribution. Our results display that even in a large macrophyte-rich river, where only one-third of the channel is managed by weed cutting, GPP and ER can be reduced significantly. The cascade effects of metabolic rates alterations on ecosystem structure and functioning need to be considered in the future management plans, where higher plant biomass and increased flow is anticipated due to the ongoing climate change and thus, the demand for weed cutting might be intensified.
PURE Aarhus Universi... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2022.115014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PURE Aarhus Universi... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2022.115014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Paraskevi, Manolaki; Pau, Gimenez Grau; Ada, Pastor; Annette, Baattrup Pedersen; +1 AuthorsParaskevi, Manolaki; Pau, Gimenez Grau; Ada, Pastor; Annette, Baattrup Pedersen; Tenna, Riis;pmid: 35447446
Problems related to extensive macrophyte growth are widespread both in modified and man-made canals and streams, and in streams with natural morphology and rich vegetation. The weed cutting is a common management practice in order to reduce flood risk and enhance water conveyance. Although the short- and long-term impacts on the stream physical habitats and biota have been extensively studied, only little information exists on the effects of weed cutting on ecosystem metabolism, especially for larger rivers. This study aims to quantify effects of weed cutting on metabolic rates in a large lowland river in Denmark. We measured Gross Primary Production (GPP), Ecosystem Respiration (ER) and physical parameters (water depth, discharge, water velocity and reaeration rate) one week prior and 2-6 weeks after weed cutting in 2014 and 2020. Physical river conditions changed significantly after the removal of approximately 60% of macrophytic volume, and a significant reduction in water depth and increased water velocity was recorded. We found an immediate 38% and 61% reduction in GPP and 28% and 35% reduction in ER after weed cutting in 2014 and 2020 respectively. We also found that the metabolic rates did not recover to pre-weed cutting levels within 2-6 weeks after weed cutting. The higher decline in GPP compared to that in ER indicates that the heterotrophic contribution to ER was higher compared to the autotrophic contribution. Our results display that even in a large macrophyte-rich river, where only one-third of the channel is managed by weed cutting, GPP and ER can be reduced significantly. The cascade effects of metabolic rates alterations on ecosystem structure and functioning need to be considered in the future management plans, where higher plant biomass and increased flow is anticipated due to the ongoing climate change and thus, the demand for weed cutting might be intensified.
PURE Aarhus Universi... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2022.115014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PURE Aarhus Universi... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2022.115014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014 SpainPublisher:Springer Science and Business Media LLC Funded by:NSF | IGERT - Integrative Biosc..., NSF | FIBR: Ecological Genomics...NSF| IGERT - Integrative Bioscience: Genes to Environment ,NSF| FIBR: Ecological Genomics and Heritability: Consequences of Extended PhenotypesPastor, Ada; Compson, Zacchaeus G.; Dijkstra, P.; Riera, Joan L.; Martí, Eugènia; Sabater, Francesc; Hungate, Bruce A.; Marks, J. C.;Leaf litter decomposition plays a major role in nutrient dynamics in forested streams. The chemical composition of litter affects its processing by microorganisms, which obtain nutrients from litter and from the water column. The balance of these fluxes is not well known, because they occur simultaneously and thus are difficult to quantify separately. Here, we examined C and N flow from streamwater and leaf litter to microbial biofilms during decomposition. We used isotopically enriched leaves ((13)C and (15)N) from two riparian foundation tree species: fast-decomposing Populus fremontii and slow-decomposing Populus angustifolia, which differed in their concentration of recalcitrant compounds. We adapted the isotope pool dilution method to estimate gross elemental fluxes into litter microbes. Three key findings emerged: litter type strongly affected biomass and stoichiometry of microbial assemblages growing on litter; the proportion of C and N in microorganisms derived from the streamwater, as opposed to the litter, did not differ between litter types, but increased throughout decomposition; gross immobilization of N from the streamwater was higher for P. fremontii compared to P. angustifolia, probably as a consequence of the higher microbial biomass on P. fremontii. In contrast, gross immobilization of C from the streamwater was higher for P. angustifolia, suggesting that dissolved organic C in streamwater was used as an additional energy source by microbial assemblages growing on slow-decomposing litter. These results indicate that biofilms on decomposing litter have specific element requirements driven by litter characteristics, which might have implications for whole-stream nutrient retention.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2014 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-014-3063-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 37visibility views 37 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2014 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-014-3063-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014 SpainPublisher:Springer Science and Business Media LLC Funded by:NSF | IGERT - Integrative Biosc..., NSF | FIBR: Ecological Genomics...NSF| IGERT - Integrative Bioscience: Genes to Environment ,NSF| FIBR: Ecological Genomics and Heritability: Consequences of Extended PhenotypesPastor, Ada; Compson, Zacchaeus G.; Dijkstra, P.; Riera, Joan L.; Martí, Eugènia; Sabater, Francesc; Hungate, Bruce A.; Marks, J. C.;Leaf litter decomposition plays a major role in nutrient dynamics in forested streams. The chemical composition of litter affects its processing by microorganisms, which obtain nutrients from litter and from the water column. The balance of these fluxes is not well known, because they occur simultaneously and thus are difficult to quantify separately. Here, we examined C and N flow from streamwater and leaf litter to microbial biofilms during decomposition. We used isotopically enriched leaves ((13)C and (15)N) from two riparian foundation tree species: fast-decomposing Populus fremontii and slow-decomposing Populus angustifolia, which differed in their concentration of recalcitrant compounds. We adapted the isotope pool dilution method to estimate gross elemental fluxes into litter microbes. Three key findings emerged: litter type strongly affected biomass and stoichiometry of microbial assemblages growing on litter; the proportion of C and N in microorganisms derived from the streamwater, as opposed to the litter, did not differ between litter types, but increased throughout decomposition; gross immobilization of N from the streamwater was higher for P. fremontii compared to P. angustifolia, probably as a consequence of the higher microbial biomass on P. fremontii. In contrast, gross immobilization of C from the streamwater was higher for P. angustifolia, suggesting that dissolved organic C in streamwater was used as an additional energy source by microbial assemblages growing on slow-decomposing litter. These results indicate that biofilms on decomposing litter have specific element requirements driven by litter characteristics, which might have implications for whole-stream nutrient retention.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2014 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-014-3063-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 37visibility views 37 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2014 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-014-3063-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 DenmarkPublisher:Wiley Ada Pastor; Louis J. Skovsholt; Kirsten S. Christoffersen; Naicheng Wu; Tenna Riis;doi: 10.1002/hyp.14369
AbstractClimate change is causing drastic landscape changes in the Arctic, but how these changes modify stream biogeochemistry is not clear yet. We examined how catchment properties influence stream nitrogen (N) and dissolved organic carbon concentrations (DOC) in a high‐Arctic environment. We sampled two contrasting headwater streams (10–15 stations over 4.8 and 6.8 km, respectively) in Northeast Greenland (74°N). We characterized the geomorphology (i.e., bedrock, solifluction and alluvial types) and the vegetation (i.e., barren, fell field, grassland and tundra types) cover of each subcatchment area draining into each sampling station and collected water samples for hydrochemistry characterization. The two sampled streams differed in geomorphology and vegetation cover in the catchment. Aucellaelv catchment was mostly covered by a ‘bedrock’ geomorphology (71%) and ‘fellfield’ vegetation (51%), whereas Kæerelv was mostly covered by ‘alluvial’ geomorphology (65%) and ‘grassland’ and ‘tundra’ vegetation (42% and 41% respectively). Hydrochemistry also differed between the two study streams, with higher concentrations of inorganic N forms in Aucellaelv and lower DOC concentrations, compared to Kærelv. The results from the linear mixed model selection showed that vegetation and geomorphology had contrasting effects on stream hydrochemistry. Subcatchments with higher solifluction sheets and limited vegetation had higher nitrate concentrations but lower DOC concentrations. Interestingly, we also found high variability on the production and removal of nitrate across subcatchments. These results indicate landscape controls to nutrient and organic matter exports via flow paths, soil organic matter stocks and nutrient retention via terrestrial vegetation. Moreover, the results suggest that climate change induced alterations to vegetation cover and soil physical disturbance in high‐Arctic catchments will affect stream hydrochemistry, with potential effects in stream productivity, trophic relations as well as change of solute export to downstream coastal areas.
Copenhagen Universit... arrow_drop_down Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Hydrological ProcessesArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/hyp.14369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Copenhagen Universit... arrow_drop_down Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Hydrological ProcessesArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/hyp.14369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 DenmarkPublisher:Wiley Ada Pastor; Louis J. Skovsholt; Kirsten S. Christoffersen; Naicheng Wu; Tenna Riis;doi: 10.1002/hyp.14369
AbstractClimate change is causing drastic landscape changes in the Arctic, but how these changes modify stream biogeochemistry is not clear yet. We examined how catchment properties influence stream nitrogen (N) and dissolved organic carbon concentrations (DOC) in a high‐Arctic environment. We sampled two contrasting headwater streams (10–15 stations over 4.8 and 6.8 km, respectively) in Northeast Greenland (74°N). We characterized the geomorphology (i.e., bedrock, solifluction and alluvial types) and the vegetation (i.e., barren, fell field, grassland and tundra types) cover of each subcatchment area draining into each sampling station and collected water samples for hydrochemistry characterization. The two sampled streams differed in geomorphology and vegetation cover in the catchment. Aucellaelv catchment was mostly covered by a ‘bedrock’ geomorphology (71%) and ‘fellfield’ vegetation (51%), whereas Kæerelv was mostly covered by ‘alluvial’ geomorphology (65%) and ‘grassland’ and ‘tundra’ vegetation (42% and 41% respectively). Hydrochemistry also differed between the two study streams, with higher concentrations of inorganic N forms in Aucellaelv and lower DOC concentrations, compared to Kærelv. The results from the linear mixed model selection showed that vegetation and geomorphology had contrasting effects on stream hydrochemistry. Subcatchments with higher solifluction sheets and limited vegetation had higher nitrate concentrations but lower DOC concentrations. Interestingly, we also found high variability on the production and removal of nitrate across subcatchments. These results indicate landscape controls to nutrient and organic matter exports via flow paths, soil organic matter stocks and nutrient retention via terrestrial vegetation. Moreover, the results suggest that climate change induced alterations to vegetation cover and soil physical disturbance in high‐Arctic catchments will affect stream hydrochemistry, with potential effects in stream productivity, trophic relations as well as change of solute export to downstream coastal areas.
Copenhagen Universit... arrow_drop_down Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Hydrological ProcessesArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/hyp.14369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Copenhagen Universit... arrow_drop_down Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Hydrological ProcessesArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/hyp.14369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Holmboe, Cecilie Marie Hartvig; Riis, Tenna; Pastor, Ada;Data was collected through a systematic search on the Web of Science (WOS) search engine to find relevant, scientific peer-reviewed articles on N water chemistry from Arctic flowing waters. A "topic" search performed on 4 November 2021 yielded 175 articles: (((stream* OR river* OR watercourse* OR tributary OR creek OR brook) AND (Arctic* OR Greenland* OR Svalbard* OR Siberia*) AND (nitrate* OR ammonium* OR nitrogen*) NOT (sea* OR ocean* OR lake* OR pond*))). The articles from this search were combined with data obtained from The Greenland Ecosystem Monitoring (GEM) database (Greenland Ecosystem Monitoring, 2020b; doi:10.1016/j.rse.2006.03.011, 2020a; doi:10.17897/ZJK8-0B45 ), the National Science Foundation's Long Term Ecological Research (LTER) database (Bowden, 2021),and published articles that were not initially found through the main keyword search. This resulted in 215 articles in total. This was also combined with 21 unpublished data points of our group.After retrieval, all articles and data were systematically scanned for data adhering to the following criteria: (a) data on N water concentration (NO3-, NH4+, DON and/or TDN) for a particular year from Arctic flowing waters; and (b) not to include streams that was impacted by human nutrient enrichment. The initial search did not yield any data regarding particulate N and, therefore, we did not assess this N type. In this study, the Arctic is defined as everything above the treeline (i.e. the northernmost latitude at which trees can grow and sustain themselves (CAVM, 2003). Data from figures were extracted using the WebPlotDigitizer. In order to also include sites with solute concentrations below detection limit we dealt with these low values in the following way: if the detection limit was specified in the study, the values below the detection limit were substituted for the limit of detection divided by 2. If there was no information on the limit of detection (i.e., if only the abbreviation was presented), we excluded the values from the analyses (See dataset in Supporting Information.)Bioclimate subzonesWe divided the Arctic into bioclimate subzones A-E, which is based on vegetation height and July temperature (Walker, 2005, doi:10.1111/j.1654-1103.2005.tb02365.x). The bioclimate subzone GeoTiff dataset was downloaded from the Circumpolar Arctic Vegetation Mapping Project (https://www.geobotany.uaf.edu/cavm/data/index.html) created by the Alaska Geobotany Center (Fig. 1A). Within this classification, temperature and vegetation height increase from north to south corresponding to Subzone A to Subzone E (Walker, 2005, doi:10.1111/j.1654-1103.2005.tb02365.x).Out of the 215 published articles, 20 articles met our criteria along with four datasets from databases (Holmboe et al., 2024). Combined with the 21 unpublished data points from our group, we obtained 2381 observations on N water chemistry from' Arctic flowing waters from 1996 to 2021 (see Excel sheet in Supporting Information). The data included water samples collected during summer, primarily July and August. We tested for temporal trends that could have been caused by climate change since 1996 by dividing the data into the first and second half sample period (i.e.1996-2008 (early) and 2009-2021 (late). However, in an initial test of patterns found in the early period versus the patterns found in late period we did not find any noticeable differences (Fig. S2 & S3 in Supporting Information). We therefore did the analyses with all years lumped together within the single period 1996-2021.NDVI and PhytomassTo assess the effect of vegetation more directly, we used two other vegetation parameters; Normalized difference vegetation index (NDVI) and Phytomass (Raynolds et al., 2006; doi:10.1016/j.rse.2006.02.016). Both GeoTiff datasets come from the Circumpolar Arctic Vegetation Mapping Project (https://www.geobotany.uaf.edu/cavm/data/index.html) created by the Alaska Geobotany Center, and information about the data can be found in Raynolds et al. (2006; doi:10.1016/j.rse.2006.02.016). The NDVI measures the relative greenness of an area and is derived from satellite images containing information about the spectral reflectance in the near-infrared (NIR) and red (R) spectral area that can be extracted and used to calculate NDVI. NDVI can be calculated as: NDVI = (NIR - R) / (NIR + R). Values vary from -1 to +1, where values closer to 1 indicate more vegetated areas. We focussed on the maximum NDVI in an area, divided into six categories (Raynolds et al., 2006): NDVI [< 0.03], [0.03 - 0.14], [0.15 - 0.26], [0.27 - 0.38], [0.39 - 0.50] and [0.51 - 0.56]. In general, NDVI has been shown to correlate with the bioclimate subzones and decreases from south to north (Raynolds et al., 2006). Phytomass is the above-ground plant biomass measured in g/m² and is calculated from a regression relationship between NDVI and field measured phytomass derived from clip harvest data collected on the North Slope of Alaska, as described in detail in Raynolds et al. (2006) and Walker et al. (2003). Phytomass is divided into six categories; [< 30 g/m²], [30 - 70 g/m²], [70 - 160 g/m²], [160 - 370 g/m²], [370 - 850 g/m²] and [850 - 1300 g/m²]. We use the same colours as the original legend by Raynolds et al. (2006) for both NDVI and phytomass. In the dataset, NDVI and phytomass are respresented as categorical values from 1 to 6. For NDVI 1 corresponds to NDVI > 0.03 and 7 corresponds to NDVI 0.51-0.56. For Phytomass, 1 corresponds to < 30 g/m2 and 6 corresponds to 850-1300 g/m².Interpreting the vegetation parametersTo be able to interpret the vegetation parameters more precisely, we have divided the sites into three categories according to the following criteria; "Barren" (Bioclimate subzones A and B, NDVI < 0.14, phytomass < 70 g/m²), "Sparsely vegetated" (Bioclimate subzones C, D and E, 0.15 < NDVI < 0.5, 70 g/m² < phytomass < 850 g/m²) and "Moderately vegetated" (Bioclimate Subzone E, 0.5 < NDVI < 0.56, 850 g/m² < phytomass < 1300 g/m²) (Julien et al., 2006 (doi:10.1016/j.rse.2006.03.011); Raynolds et al., 2006 (doi:10.1016/j.rse.2006.02.016); Sobrino & Raissouni, 2000 (doi:10.1080/014311600210876)). The data in this study was not located in areas with dense vegetation, where NDVI reaches values above 0.6 (Corrales et al., 2018, doi:10.1007/978-3-030-04447-3_7).Climatic variablesSeveral climatic variables were used to support the vegetation parameters and test the relationship with N concentrations in streams. Annual mean air temperature (°C, Air temp.), Annual precipitation (mm, Precipitation), Maximum temperature of Warmest Month (°C, Max air temp.) and Minimum temperature of Coldest Month (°C, Min. air temp.) were extracted from the WorldClim database of Bioclimatic variables (version 2, 2020) in 1 km² resolution (Fick & Hijmans, 2017, doi:10.1002/joc.5086). These values are an average for the years 1970-2000. Annual mean soil temperature (°C, Soil temp.) data were extracted from the Global Soil Bioclimate variables based on data from 1979-2013 in two depth intervals: 0-5 cm and 5-15 cm (Lembrechts et al., 2021; doi:10.1111/gcb.16060). The soil organic carbon content (SOCC, kg C/m² at 30 and 100 cm depth was extracted from the Northern Circumpolar Soil Carbon Database version 2 (NCSCDv2) (https://bolin.su.se/data/ncscd/). In the Arctic, little information is available, especially in terms of N availability and composition (i.e., nitrate, ammonium, and dissolved organic nitrogen) from small, flowing waters. This data set aims to quantify N concentrations across small Arctic streams and explore the link between terrestrial vegetation and stream water N concentration. The data set is the result of a literature study where data on N water chemistry was collected and combined from peer-reviewed, published articles and data sets selected by specific criteria. 20 articles met the selected criteria along with four datasets from databases resulting in a total of 2381 observations on N water chemistry from Arctic flowing waters from 1996 to 2021. Bioclimate subzones, NDVI and phytomass describe vegetation. Data on dissolved organic nitrogen (DON) was scarce: only 161 of the 2381 observations contained DON data. We found that nitrate (NO3-), ammonium (NH4+) and DON ranged undetectable to 1155, 547 and 1587 µg N/l, respectively. We found that sparsely vegetated areas had higher stream water N-concentrations, while barren areas and higher vegetated areas had lower stream water N-concentrations.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Holmboe, Cecilie Marie Hartvig; Riis, Tenna; Pastor, Ada;Data was collected through a systematic search on the Web of Science (WOS) search engine to find relevant, scientific peer-reviewed articles on N water chemistry from Arctic flowing waters. A "topic" search performed on 4 November 2021 yielded 175 articles: (((stream* OR river* OR watercourse* OR tributary OR creek OR brook) AND (Arctic* OR Greenland* OR Svalbard* OR Siberia*) AND (nitrate* OR ammonium* OR nitrogen*) NOT (sea* OR ocean* OR lake* OR pond*))). The articles from this search were combined with data obtained from The Greenland Ecosystem Monitoring (GEM) database (Greenland Ecosystem Monitoring, 2020b; doi:10.1016/j.rse.2006.03.011, 2020a; doi:10.17897/ZJK8-0B45 ), the National Science Foundation's Long Term Ecological Research (LTER) database (Bowden, 2021),and published articles that were not initially found through the main keyword search. This resulted in 215 articles in total. This was also combined with 21 unpublished data points of our group.After retrieval, all articles and data were systematically scanned for data adhering to the following criteria: (a) data on N water concentration (NO3-, NH4+, DON and/or TDN) for a particular year from Arctic flowing waters; and (b) not to include streams that was impacted by human nutrient enrichment. The initial search did not yield any data regarding particulate N and, therefore, we did not assess this N type. In this study, the Arctic is defined as everything above the treeline (i.e. the northernmost latitude at which trees can grow and sustain themselves (CAVM, 2003). Data from figures were extracted using the WebPlotDigitizer. In order to also include sites with solute concentrations below detection limit we dealt with these low values in the following way: if the detection limit was specified in the study, the values below the detection limit were substituted for the limit of detection divided by 2. If there was no information on the limit of detection (i.e., if only the abbreviation was presented), we excluded the values from the analyses (See dataset in Supporting Information.)Bioclimate subzonesWe divided the Arctic into bioclimate subzones A-E, which is based on vegetation height and July temperature (Walker, 2005, doi:10.1111/j.1654-1103.2005.tb02365.x). The bioclimate subzone GeoTiff dataset was downloaded from the Circumpolar Arctic Vegetation Mapping Project (https://www.geobotany.uaf.edu/cavm/data/index.html) created by the Alaska Geobotany Center (Fig. 1A). Within this classification, temperature and vegetation height increase from north to south corresponding to Subzone A to Subzone E (Walker, 2005, doi:10.1111/j.1654-1103.2005.tb02365.x).Out of the 215 published articles, 20 articles met our criteria along with four datasets from databases (Holmboe et al., 2024). Combined with the 21 unpublished data points from our group, we obtained 2381 observations on N water chemistry from' Arctic flowing waters from 1996 to 2021 (see Excel sheet in Supporting Information). The data included water samples collected during summer, primarily July and August. We tested for temporal trends that could have been caused by climate change since 1996 by dividing the data into the first and second half sample period (i.e.1996-2008 (early) and 2009-2021 (late). However, in an initial test of patterns found in the early period versus the patterns found in late period we did not find any noticeable differences (Fig. S2 & S3 in Supporting Information). We therefore did the analyses with all years lumped together within the single period 1996-2021.NDVI and PhytomassTo assess the effect of vegetation more directly, we used two other vegetation parameters; Normalized difference vegetation index (NDVI) and Phytomass (Raynolds et al., 2006; doi:10.1016/j.rse.2006.02.016). Both GeoTiff datasets come from the Circumpolar Arctic Vegetation Mapping Project (https://www.geobotany.uaf.edu/cavm/data/index.html) created by the Alaska Geobotany Center, and information about the data can be found in Raynolds et al. (2006; doi:10.1016/j.rse.2006.02.016). The NDVI measures the relative greenness of an area and is derived from satellite images containing information about the spectral reflectance in the near-infrared (NIR) and red (R) spectral area that can be extracted and used to calculate NDVI. NDVI can be calculated as: NDVI = (NIR - R) / (NIR + R). Values vary from -1 to +1, where values closer to 1 indicate more vegetated areas. We focussed on the maximum NDVI in an area, divided into six categories (Raynolds et al., 2006): NDVI [< 0.03], [0.03 - 0.14], [0.15 - 0.26], [0.27 - 0.38], [0.39 - 0.50] and [0.51 - 0.56]. In general, NDVI has been shown to correlate with the bioclimate subzones and decreases from south to north (Raynolds et al., 2006). Phytomass is the above-ground plant biomass measured in g/m² and is calculated from a regression relationship between NDVI and field measured phytomass derived from clip harvest data collected on the North Slope of Alaska, as described in detail in Raynolds et al. (2006) and Walker et al. (2003). Phytomass is divided into six categories; [< 30 g/m²], [30 - 70 g/m²], [70 - 160 g/m²], [160 - 370 g/m²], [370 - 850 g/m²] and [850 - 1300 g/m²]. We use the same colours as the original legend by Raynolds et al. (2006) for both NDVI and phytomass. In the dataset, NDVI and phytomass are respresented as categorical values from 1 to 6. For NDVI 1 corresponds to NDVI > 0.03 and 7 corresponds to NDVI 0.51-0.56. For Phytomass, 1 corresponds to < 30 g/m2 and 6 corresponds to 850-1300 g/m².Interpreting the vegetation parametersTo be able to interpret the vegetation parameters more precisely, we have divided the sites into three categories according to the following criteria; "Barren" (Bioclimate subzones A and B, NDVI < 0.14, phytomass < 70 g/m²), "Sparsely vegetated" (Bioclimate subzones C, D and E, 0.15 < NDVI < 0.5, 70 g/m² < phytomass < 850 g/m²) and "Moderately vegetated" (Bioclimate Subzone E, 0.5 < NDVI < 0.56, 850 g/m² < phytomass < 1300 g/m²) (Julien et al., 2006 (doi:10.1016/j.rse.2006.03.011); Raynolds et al., 2006 (doi:10.1016/j.rse.2006.02.016); Sobrino & Raissouni, 2000 (doi:10.1080/014311600210876)). The data in this study was not located in areas with dense vegetation, where NDVI reaches values above 0.6 (Corrales et al., 2018, doi:10.1007/978-3-030-04447-3_7).Climatic variablesSeveral climatic variables were used to support the vegetation parameters and test the relationship with N concentrations in streams. Annual mean air temperature (°C, Air temp.), Annual precipitation (mm, Precipitation), Maximum temperature of Warmest Month (°C, Max air temp.) and Minimum temperature of Coldest Month (°C, Min. air temp.) were extracted from the WorldClim database of Bioclimatic variables (version 2, 2020) in 1 km² resolution (Fick & Hijmans, 2017, doi:10.1002/joc.5086). These values are an average for the years 1970-2000. Annual mean soil temperature (°C, Soil temp.) data were extracted from the Global Soil Bioclimate variables based on data from 1979-2013 in two depth intervals: 0-5 cm and 5-15 cm (Lembrechts et al., 2021; doi:10.1111/gcb.16060). The soil organic carbon content (SOCC, kg C/m² at 30 and 100 cm depth was extracted from the Northern Circumpolar Soil Carbon Database version 2 (NCSCDv2) (https://bolin.su.se/data/ncscd/). In the Arctic, little information is available, especially in terms of N availability and composition (i.e., nitrate, ammonium, and dissolved organic nitrogen) from small, flowing waters. This data set aims to quantify N concentrations across small Arctic streams and explore the link between terrestrial vegetation and stream water N concentration. The data set is the result of a literature study where data on N water chemistry was collected and combined from peer-reviewed, published articles and data sets selected by specific criteria. 20 articles met the selected criteria along with four datasets from databases resulting in a total of 2381 observations on N water chemistry from Arctic flowing waters from 1996 to 2021. Bioclimate subzones, NDVI and phytomass describe vegetation. Data on dissolved organic nitrogen (DON) was scarce: only 161 of the 2381 observations contained DON data. We found that nitrate (NO3-), ammonium (NH4+) and DON ranged undetectable to 1155, 547 and 1587 µg N/l, respectively. We found that sparsely vegetated areas had higher stream water N-concentrations, while barren areas and higher vegetated areas had lower stream water N-concentrations.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2024License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2025 DenmarkPublisher:Wiley Funded by:EC | TALENTEC| TALENTAuthors: Sanne M. Moedt; Kirsten S. Christoffersen; Andreas Westergaard‐Nielsen; Kenneth T. Martinsen; +3 AuthorsSanne M. Moedt; Kirsten S. Christoffersen; Andreas Westergaard‐Nielsen; Kenneth T. Martinsen; Ada Pastor; Niels Jákup Korsgaard; Tenna Riis;ABSTRACTThe Arctic is warming faster than the global average, making it critical to understand how this affects ecological structure and function in streams, which are key Arctic ecosystems. Microbial biofilms are crucial for primary production and decomposition in Arctic streams and support higher trophic levels. However, comprehensive studies across Arctic regions, and in particular within Greenland, are scarce. This study analysed total biomass, autotrophic biomass (chlorophyll a), and the general structure of major autotrophic groups in stream epilithic biofilms across Greenland's subarctic, Low Arctic, and High Arctic regions. Our aim was to identify primary environmental drivers of biofilm across these climate regions. We observed large environmental variation differences in biofilm chlorophyll a concentrations and total biomass across the regions. Cyanobacteria, diatoms, and green algae were present in all regions, with cyanobacteria dominating High Arctic streams. Phosphate and water temperature primarily drove autotrophic biofilm abundance measured as chlorophyll a concentration, while catchment slope and nitrate concentrations influenced total biofilm biomass, with relationships varying by region. Our results suggest increased biofilm accumulation in Greenland streams under projected climate warming, which likely will alter trophic food webs and biogeochemical cycling, with region‐specific responses expected.
Environmental Microb... arrow_drop_down Environmental Microbiology ReportsArticle . 2025 . Peer-reviewedLicense: CC BYData sources: CrossrefCopenhagen University Research Information SystemArticle . 2025Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Environmental Microb... arrow_drop_down Environmental Microbiology ReportsArticle . 2025 . Peer-reviewedLicense: CC BYData sources: CrossrefCopenhagen University Research Information SystemArticle . 2025Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2025 DenmarkPublisher:Wiley Funded by:EC | TALENTEC| TALENTAuthors: Sanne M. Moedt; Kirsten S. Christoffersen; Andreas Westergaard‐Nielsen; Kenneth T. Martinsen; +3 AuthorsSanne M. Moedt; Kirsten S. Christoffersen; Andreas Westergaard‐Nielsen; Kenneth T. Martinsen; Ada Pastor; Niels Jákup Korsgaard; Tenna Riis;ABSTRACTThe Arctic is warming faster than the global average, making it critical to understand how this affects ecological structure and function in streams, which are key Arctic ecosystems. Microbial biofilms are crucial for primary production and decomposition in Arctic streams and support higher trophic levels. However, comprehensive studies across Arctic regions, and in particular within Greenland, are scarce. This study analysed total biomass, autotrophic biomass (chlorophyll a), and the general structure of major autotrophic groups in stream epilithic biofilms across Greenland's subarctic, Low Arctic, and High Arctic regions. Our aim was to identify primary environmental drivers of biofilm across these climate regions. We observed large environmental variation differences in biofilm chlorophyll a concentrations and total biomass across the regions. Cyanobacteria, diatoms, and green algae were present in all regions, with cyanobacteria dominating High Arctic streams. Phosphate and water temperature primarily drove autotrophic biofilm abundance measured as chlorophyll a concentration, while catchment slope and nitrate concentrations influenced total biofilm biomass, with relationships varying by region. Our results suggest increased biofilm accumulation in Greenland streams under projected climate warming, which likely will alter trophic food webs and biogeochemical cycling, with region‐specific responses expected.
Environmental Microb... arrow_drop_down Environmental Microbiology ReportsArticle . 2025 . Peer-reviewedLicense: CC BYData sources: CrossrefCopenhagen University Research Information SystemArticle . 2025Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Environmental Microb... arrow_drop_down Environmental Microbiology ReportsArticle . 2025 . Peer-reviewedLicense: CC BYData sources: CrossrefCopenhagen University Research Information SystemArticle . 2025Data sources: Copenhagen University Research Information Systemadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Preprint 2021Embargo end date: 01 Jan 2022 United Kingdom, Norway, United Kingdom, Norway, Italy, United Kingdom, Italy, Italy, Spain, Qatar, United Kingdom, Denmark, Italy, Denmark, Italy, Italy, Germany, Netherlands, Finland, Italy, Sweden, Netherlands, Germany, Netherlands, Spain, Spain, Netherlands, Spain, Italy, Lithuania, Germany, Norway, Spain, Italy, Germany, Norway, Netherlands, Germany, United Kingdom, Italy, United Kingdom, Italy, Netherlands, Switzerland, Netherlands, Spain, Italy, Belgium, Spain, Netherlands, Spain, Lithuania, France, Germany, Sweden, United States, Belgium, Germany, Italy, Italy, Netherlands, Germany, Netherlands, Qatar, United Kingdom, United KingdomPublisher:Wiley Funded by:EC | eLTER PLUS, EC | LEAP-AGRI, ARC | Discovery Early Career Re... +32 projectsEC| eLTER PLUS ,EC| LEAP-AGRI ,ARC| Discovery Early Career Researcher Award - Grant ID: DE180100570 ,EC| DESIRA ,ANR| ASICS ,SNSF| ICOS-CH Phase 2 ,NSF| Integrating species traits into species pools: A multi-scale approach to understanding community assembly ,EC| SUPER-G ,AKA| Atmosphere and Climate Competence Center (ACCC) ,UKRI| E3 - Edinburgh Earth and Environment - Doctoral Training Partnership ,UKRI| Climate as a driver of shrub expansion and tundra greening ,UKRI| SCORE: Supply Chain Optimisation for demand Response Efficiency ,EC| FORMICA ,RSF| The anatomical and physiological response of Scots pine xylem formation to variable water availability ,SNSF| Climate change impacts on biodiversity: From macro- to microclimate ,EC| AIAS ,NSERC ,RCN| Effects of herbivory and warming on tundra plant communities ,RCN| The role of Functional group interactions in mediating climate change impacts on the Carbon dynamics and Biodiversity of alpine ecosystems ,EC| AfricanBioServices ,EC| ECLAIRE ,ARC| Discovery Early Career Researcher Award - Grant ID: DE140101611 ,NWO| Specialists at work: how decomposers break down plant litter ,EC| PERMTHAW ,EC| ICOS ,EC| NICH ,SNSF| How does forest microclimate affect biodiversity dynamics? ,DFG| EarthShape: Earth Surface Shaping by Biota ,RCN| The effect of snow depth and snow melt timing on arctic terrestrial ecosystems. ,EC| SustainSAHEL ,UKRI| Forecasting the impacts of drought on human-modified tropical forests by integrating models with data ,UKRI| UK Status, Change and Projections of the Environment (UK-SCaPE) ,ANR| IMPRINT ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,ANR| ODYSSEEWinkler, Manuela; Plichta, Roman; Buysse, Pauline; Lohila, Annalea; Spicher, Fabien; Boeckx, Pascal; Wild, Jan; Feigenwinter, Iris; Olejnik, Janusz; Risch, Anita; Khuroo, Anzar; Lynn, Joshua; di Cella, Umberto; Schmidt, Marius; Urbaniak, Marek; Marchesini, Luca; Govaert, Sanne; Uogintas, Domas; Assis, Rafael; Medinets, Volodymyr; Abdalaze, Otar; Varlagin, Andrej; Dolezal, Jiri; Myers, Jonathan; Randall, Krystal; Bauters, Marijn; Jimenez, Juan; Stoll, Stefan; Petraglia, Alessandro; Mazzolari, Ana; Ogaya, Romà; Tyystjärvi, Vilna; Hammerle, Albin; Wipf, Sonja; Lorite, Juan; Fanin, Nicolas; Benavides, Juan; Scholten, Thomas; Yu, Zicheng; Veen, G.; Treier, Urs; Candan, Onur; Bell, Michael; Hörtnagl, Lukas; Siebicke, Lukas; Vives-Ingla, Maria; Eugster, Werner; Grelle, Achim; Stemkovski, Michael; Theurillat, Jean-Paul; Matula, Radim; Dorrepaal, Ellen; Steinbrecher, Rainer; Alatalo, Juha; Fenu, Giuseppe; Arzac, Alberto; Homeier, Jürgen; Porro, Francesco; Robinson, Sharon; Ghosn, Dany; Haugum, Siri; Ziemblińska, Klaudia; Camargo, José; Zhao, Peng; Niittynen, Pekka; Liljebladh, Bengt; Normand, Signe; Dias, Arildo; Larson, Christian; Peichl, Matthias; Collier, Laura; Myers-Smith, Isla; Zong, Shengwei; Kašpar, Vít; Cooper, Elisabeth; Haider, Sylvia; von Oppen, Jonathan; Cutini, Maurizio; Benito-Alonso, José-Luis; Luoto, Miska; Klemedtsson, Leif; Higgens, Rebecca; Zhang, Jian; Speed, James; Nijs, Ivan; Macek, Martin; Steinwandter, Michael; Poyatos, Rafael; Niedrist, Georg; Curasi, Salvatore; Yang, Yan; Dengler, Jürgen; Géron, Charly; de Pablo, Miguel; Xenakis, Georgios; Kreyling, Juergen; Forte, Tai; Bailey, Joseph; Knohl, Alexander; Goulding, Keith; Wilkinson, Matthew; Kljun, Natascha; Roupsard, Olivier; Stiegler, Christian; Verbruggen, Erik; Wingate, Lisa; Lamprecht, Andrea; Hamid, Maroof; Rossi, Graziano; Descombes, Patrice; Hrbacek, Filip; Bjornsdottir, Katrin; Poulenard, Jérôme; Meeussen, Camille; Guénard, Benoit; Venn, Susanna; Dimarco, Romina; Man, Matěj; Scharnweber, Tobias; Chown, Steven; Pio, Casimiro; Way, Robert; Erickson, Todd; Fernández-Pascual, Eduardo; Pușcaș, Mihai; Orsenigo, Simone; Di Musciano, Michele; Enquist, Brian; Newling, Emily; Tagesson, Torbern; Kemppinen, Julia; Serra-Diaz, Josep; Gottschall, Felix; Schuchardt, Max; Pitacco, Andrea; Jump, Alistair; Exton, Dan; Carnicer, Jofre; Aschero, Valeria; Urban, Anastasiya; Daskalova, Gergana; Santos, Cinthya; Goeckede, Mathias; Bruna, Josef; Andrews, Christopher; Jónsdóttir, Ingibjörg; Casanova-Katny, Angélica; Moriana-Armendariz, Mikel; Ewers, Robert; Pärtel, Meelis; Sagot, Clotilde; Herbst, Mathias; De Frenne, Pieter; Milbau, Ann; Gobin, Anne; Alexander, Jake; Kopecký, Martin; Buchmann, Nina; Kotowska, Martyna; Puchalka, Radoslaw; Penuelas, Josep; Gigauri, Khatuna; Prokushkin, Anatoly; Moiseev, Pavel; Jentsch, Anke; Klisz, Marcin; Barrio, Isabel; Ammann, Christof; Panov, Alexey; Van Geel, Maarten; Finckh, Manfred; Vaccari, Francesco; Erschbamer, Brigitta; Backes, Amanda; Robroek, Bjorn; Campoe, Otávio; Ahmadian, Negar; Boike, Julia; Thomas, Haydn; Pastor, Ada; Smith, Stuart; Pauli, Harald; Kollár, Jozef; de Cássia Guimarães Mesquita, Rita; Michaletz, Sean; Fuentes-Lillo, Eduardo; Urban, Josef; Greenwood, Sarah; Lens, Luc; Van de Vondel, Stijn; Vitale, Luca; Remmele, Sabine; Naujokaitis-Lewis, Ilona; Meusburger, Katrin; Cremonese, Edoardo; Barros, Agustina; Bokhorst, Stef; Svátek, Martin; Allonsius, Camille; Høye, Toke;doi: 10.1111/gcb.16060 , 10.32942/osf.io/pksqw , 10.3929/ethz-b-000523670 , 10.5445/ir/1000143688 , 10.21256/zhaw-24832 , 10.17863/cam.81331
pmid: 34967074
pmc: PMC9303923
handle: https://repository.ubn.ru.nl/handle/2066/286285 , 1871.1/b0fc7fdf-22e3-45ef-8d70-30d75b7f5fba , 20.500.11755/f67625de-3e1f-4112-899d-3dae951cfbfc , 11250/2986065 , 11250/2983746 , 10852/91639 , 10037/24329 , 10037/28344 , 20.500.14243/445619 , 10261/358672 , 2066/286285 , 10481/73202 , 10576/30034 , 11250/2979811 , 10067/1859610151162165141 , 10651/64961 , 1983/7aa6df09-efc2-4f70-8bec-268ab675f242 , 11590/476830 , 10449/74200 , 11584/332967 , 11695/119970 , 11697/178559 , 1854/LU-8743335 , 10017/50911 , 11381/2931752 , 11571/1450206 , 10044/1/107406 , 1893/33794 , 10900/135817
doi: 10.1111/gcb.16060 , 10.32942/osf.io/pksqw , 10.3929/ethz-b-000523670 , 10.5445/ir/1000143688 , 10.21256/zhaw-24832 , 10.17863/cam.81331
pmid: 34967074
pmc: PMC9303923
handle: https://repository.ubn.ru.nl/handle/2066/286285 , 1871.1/b0fc7fdf-22e3-45ef-8d70-30d75b7f5fba , 20.500.11755/f67625de-3e1f-4112-899d-3dae951cfbfc , 11250/2986065 , 11250/2983746 , 10852/91639 , 10037/24329 , 10037/28344 , 20.500.14243/445619 , 10261/358672 , 2066/286285 , 10481/73202 , 10576/30034 , 11250/2979811 , 10067/1859610151162165141 , 10651/64961 , 1983/7aa6df09-efc2-4f70-8bec-268ab675f242 , 11590/476830 , 10449/74200 , 11584/332967 , 11695/119970 , 11697/178559 , 1854/LU-8743335 , 10017/50911 , 11381/2931752 , 11571/1450206 , 10044/1/107406 , 1893/33794 , 10900/135817
AbstractResearch in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1‐km2resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse‐grained air temperature estimates from ERA5‐Land (an atmospheric reanalysis by the European Centre for Medium‐Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome‐specific offsets emphasize that the projected impacts of climate and climate change on near‐surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil‐related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Review , Preprint 2021Embargo end date: 01 Jan 2022 United Kingdom, Norway, United Kingdom, Norway, Italy, United Kingdom, Italy, Italy, Spain, Qatar, United Kingdom, Denmark, Italy, Denmark, Italy, Italy, Germany, Netherlands, Finland, Italy, Sweden, Netherlands, Germany, Netherlands, Spain, Spain, Netherlands, Spain, Italy, Lithuania, Germany, Norway, Spain, Italy, Germany, Norway, Netherlands, Germany, United Kingdom, Italy, United Kingdom, Italy, Netherlands, Switzerland, Netherlands, Spain, Italy, Belgium, Spain, Netherlands, Spain, Lithuania, France, Germany, Sweden, United States, Belgium, Germany, Italy, Italy, Netherlands, Germany, Netherlands, Qatar, United Kingdom, United KingdomPublisher:Wiley Funded by:EC | eLTER PLUS, EC | LEAP-AGRI, ARC | Discovery Early Career Re... +32 projectsEC| eLTER PLUS ,EC| LEAP-AGRI ,ARC| Discovery Early Career Researcher Award - Grant ID: DE180100570 ,EC| DESIRA ,ANR| ASICS ,SNSF| ICOS-CH Phase 2 ,NSF| Integrating species traits into species pools: A multi-scale approach to understanding community assembly ,EC| SUPER-G ,AKA| Atmosphere and Climate Competence Center (ACCC) ,UKRI| E3 - Edinburgh Earth and Environment - Doctoral Training Partnership ,UKRI| Climate as a driver of shrub expansion and tundra greening ,UKRI| SCORE: Supply Chain Optimisation for demand Response Efficiency ,EC| FORMICA ,RSF| The anatomical and physiological response of Scots pine xylem formation to variable water availability ,SNSF| Climate change impacts on biodiversity: From macro- to microclimate ,EC| AIAS ,NSERC ,RCN| Effects of herbivory and warming on tundra plant communities ,RCN| The role of Functional group interactions in mediating climate change impacts on the Carbon dynamics and Biodiversity of alpine ecosystems ,EC| AfricanBioServices ,EC| ECLAIRE ,ARC| Discovery Early Career Researcher Award - Grant ID: DE140101611 ,NWO| Specialists at work: how decomposers break down plant litter ,EC| PERMTHAW ,EC| ICOS ,EC| NICH ,SNSF| How does forest microclimate affect biodiversity dynamics? ,DFG| EarthShape: Earth Surface Shaping by Biota ,RCN| The effect of snow depth and snow melt timing on arctic terrestrial ecosystems. ,EC| SustainSAHEL ,UKRI| Forecasting the impacts of drought on human-modified tropical forests by integrating models with data ,UKRI| UK Status, Change and Projections of the Environment (UK-SCaPE) ,ANR| IMPRINT ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,ANR| ODYSSEEWinkler, Manuela; Plichta, Roman; Buysse, Pauline; Lohila, Annalea; Spicher, Fabien; Boeckx, Pascal; Wild, Jan; Feigenwinter, Iris; Olejnik, Janusz; Risch, Anita; Khuroo, Anzar; Lynn, Joshua; di Cella, Umberto; Schmidt, Marius; Urbaniak, Marek; Marchesini, Luca; Govaert, Sanne; Uogintas, Domas; Assis, Rafael; Medinets, Volodymyr; Abdalaze, Otar; Varlagin, Andrej; Dolezal, Jiri; Myers, Jonathan; Randall, Krystal; Bauters, Marijn; Jimenez, Juan; Stoll, Stefan; Petraglia, Alessandro; Mazzolari, Ana; Ogaya, Romà; Tyystjärvi, Vilna; Hammerle, Albin; Wipf, Sonja; Lorite, Juan; Fanin, Nicolas; Benavides, Juan; Scholten, Thomas; Yu, Zicheng; Veen, G.; Treier, Urs; Candan, Onur; Bell, Michael; Hörtnagl, Lukas; Siebicke, Lukas; Vives-Ingla, Maria; Eugster, Werner; Grelle, Achim; Stemkovski, Michael; Theurillat, Jean-Paul; Matula, Radim; Dorrepaal, Ellen; Steinbrecher, Rainer; Alatalo, Juha; Fenu, Giuseppe; Arzac, Alberto; Homeier, Jürgen; Porro, Francesco; Robinson, Sharon; Ghosn, Dany; Haugum, Siri; Ziemblińska, Klaudia; Camargo, José; Zhao, Peng; Niittynen, Pekka; Liljebladh, Bengt; Normand, Signe; Dias, Arildo; Larson, Christian; Peichl, Matthias; Collier, Laura; Myers-Smith, Isla; Zong, Shengwei; Kašpar, Vít; Cooper, Elisabeth; Haider, Sylvia; von Oppen, Jonathan; Cutini, Maurizio; Benito-Alonso, José-Luis; Luoto, Miska; Klemedtsson, Leif; Higgens, Rebecca; Zhang, Jian; Speed, James; Nijs, Ivan; Macek, Martin; Steinwandter, Michael; Poyatos, Rafael; Niedrist, Georg; Curasi, Salvatore; Yang, Yan; Dengler, Jürgen; Géron, Charly; de Pablo, Miguel; Xenakis, Georgios; Kreyling, Juergen; Forte, Tai; Bailey, Joseph; Knohl, Alexander; Goulding, Keith; Wilkinson, Matthew; Kljun, Natascha; Roupsard, Olivier; Stiegler, Christian; Verbruggen, Erik; Wingate, Lisa; Lamprecht, Andrea; Hamid, Maroof; Rossi, Graziano; Descombes, Patrice; Hrbacek, Filip; Bjornsdottir, Katrin; Poulenard, Jérôme; Meeussen, Camille; Guénard, Benoit; Venn, Susanna; Dimarco, Romina; Man, Matěj; Scharnweber, Tobias; Chown, Steven; Pio, Casimiro; Way, Robert; Erickson, Todd; Fernández-Pascual, Eduardo; Pușcaș, Mihai; Orsenigo, Simone; Di Musciano, Michele; Enquist, Brian; Newling, Emily; Tagesson, Torbern; Kemppinen, Julia; Serra-Diaz, Josep; Gottschall, Felix; Schuchardt, Max; Pitacco, Andrea; Jump, Alistair; Exton, Dan; Carnicer, Jofre; Aschero, Valeria; Urban, Anastasiya; Daskalova, Gergana; Santos, Cinthya; Goeckede, Mathias; Bruna, Josef; Andrews, Christopher; Jónsdóttir, Ingibjörg; Casanova-Katny, Angélica; Moriana-Armendariz, Mikel; Ewers, Robert; Pärtel, Meelis; Sagot, Clotilde; Herbst, Mathias; De Frenne, Pieter; Milbau, Ann; Gobin, Anne; Alexander, Jake; Kopecký, Martin; Buchmann, Nina; Kotowska, Martyna; Puchalka, Radoslaw; Penuelas, Josep; Gigauri, Khatuna; Prokushkin, Anatoly; Moiseev, Pavel; Jentsch, Anke; Klisz, Marcin; Barrio, Isabel; Ammann, Christof; Panov, Alexey; Van Geel, Maarten; Finckh, Manfred; Vaccari, Francesco; Erschbamer, Brigitta; Backes, Amanda; Robroek, Bjorn; Campoe, Otávio; Ahmadian, Negar; Boike, Julia; Thomas, Haydn; Pastor, Ada; Smith, Stuart; Pauli, Harald; Kollár, Jozef; de Cássia Guimarães Mesquita, Rita; Michaletz, Sean; Fuentes-Lillo, Eduardo; Urban, Josef; Greenwood, Sarah; Lens, Luc; Van de Vondel, Stijn; Vitale, Luca; Remmele, Sabine; Naujokaitis-Lewis, Ilona; Meusburger, Katrin; Cremonese, Edoardo; Barros, Agustina; Bokhorst, Stef; Svátek, Martin; Allonsius, Camille; Høye, Toke;doi: 10.1111/gcb.16060 , 10.32942/osf.io/pksqw , 10.3929/ethz-b-000523670 , 10.5445/ir/1000143688 , 10.21256/zhaw-24832 , 10.17863/cam.81331
pmid: 34967074
pmc: PMC9303923
handle: https://repository.ubn.ru.nl/handle/2066/286285 , 1871.1/b0fc7fdf-22e3-45ef-8d70-30d75b7f5fba , 20.500.11755/f67625de-3e1f-4112-899d-3dae951cfbfc , 11250/2986065 , 11250/2983746 , 10852/91639 , 10037/24329 , 10037/28344 , 20.500.14243/445619 , 10261/358672 , 2066/286285 , 10481/73202 , 10576/30034 , 11250/2979811 , 10067/1859610151162165141 , 10651/64961 , 1983/7aa6df09-efc2-4f70-8bec-268ab675f242 , 11590/476830 , 10449/74200 , 11584/332967 , 11695/119970 , 11697/178559 , 1854/LU-8743335 , 10017/50911 , 11381/2931752 , 11571/1450206 , 10044/1/107406 , 1893/33794 , 10900/135817
doi: 10.1111/gcb.16060 , 10.32942/osf.io/pksqw , 10.3929/ethz-b-000523670 , 10.5445/ir/1000143688 , 10.21256/zhaw-24832 , 10.17863/cam.81331
pmid: 34967074
pmc: PMC9303923
handle: https://repository.ubn.ru.nl/handle/2066/286285 , 1871.1/b0fc7fdf-22e3-45ef-8d70-30d75b7f5fba , 20.500.11755/f67625de-3e1f-4112-899d-3dae951cfbfc , 11250/2986065 , 11250/2983746 , 10852/91639 , 10037/24329 , 10037/28344 , 20.500.14243/445619 , 10261/358672 , 2066/286285 , 10481/73202 , 10576/30034 , 11250/2979811 , 10067/1859610151162165141 , 10651/64961 , 1983/7aa6df09-efc2-4f70-8bec-268ab675f242 , 11590/476830 , 10449/74200 , 11584/332967 , 11695/119970 , 11697/178559 , 1854/LU-8743335 , 10017/50911 , 11381/2931752 , 11571/1450206 , 10044/1/107406 , 1893/33794 , 10900/135817
AbstractResearch in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1‐km2resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse‐grained air temperature estimates from ERA5‐Land (an atmospheric reanalysis by the European Centre for Medium‐Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome‐specific offsets emphasize that the projected impacts of climate and climate change on near‐surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil‐related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Italy, Austria, Sweden, Sweden, Portugal, Austria, Italy, Austria, Portugal, France, GermanyPublisher:Springer Science and Business Media LLC Funded by:FCT | SFRH/BD/115030/2016, FCT | SFRH/BD/131924/2017, EC | CHROMEFCT| SFRH/BD/115030/2016 ,FCT| SFRH/BD/131924/2017 ,EC| CHROMEMagdalena Nagler; Xisca Timoner; Xisca Timoner; Katrin Attermeyer; Katrin Attermeyer; Sophie Cauvy-Fraunié; Sonia Herrero Ortega; Juliana Monteiro; Francesca Pilotto; Vesela Evtimova; Anne Deininger; Anne Deininger; David H. Fletcher; Laura Barral-Fraga; Ana Portela; Elvira de Eyto; Ada Pastor; Ada Pastor; Ada Pastor; Ferran Romero; Ferran Romero; Tea Bašić; Tea Bašić; Danny Sheath; Danny Sheath; Nikolay Simov; Thomas Fuss; Christian Noss; Alberto Doretto; Joachim Audet; Joachim Audet; Anna Freixa; Anna Freixa; Georgina M. A. Busst; Marcus Klaus; Marcus Klaus; Brian C. Doyle; Jordi-René Mor; Jordi-René Mor; Nina Pansch; Josephine Pegg; Josephine Pegg; Clara Mendoza-Lera; José L. J. Ledesma; José L. J. Ledesma; José L. J. Ledesma; Liu Liu; Liu Liu; Georg H. Niedrist; Catherine Gutmann Roberts; Anna C. Nydahl; Lyubomir Kenderov; Stefano Fenoglio; Jeremy Fonvielle; Martin Rulík; Peter Gilbert; Clara Romero González-Quijano; Joan Pere Casas-Ruiz; Joan Pere Casas-Ruiz; Núria Catalán; Pascal Bodmer; Pascal Bodmer; Pascal Bodmer; Miriam Colls; Miriam Colls; Adam Bednařík;handle: 11353/10.1536527 , 2318/1799544 , 11579/142540
AbstractGlobally, inland waters emit over 2 Pg of carbon per year as carbon dioxide, of which the majority originates from streams and rivers. Despite the global significance of fluvial carbon dioxide emissions, little is known about their diel dynamics. Here we present a large-scale assessment of day- and night-time carbon dioxide fluxes at the water-air interface across 34 European streams. We directly measured fluxes four times between October 2016 and July 2017 using drifting chambers. Median fluxes are 1.4 and 2.1 mmol m−2 h−1 at midday and midnight, respectively, with night fluxes exceeding those during the day by 39%. We attribute diel carbon dioxide flux variability mainly to changes in the water partial pressure of carbon dioxide. However, no consistent drivers could be identified across sites. Our findings highlight widespread day-night changes in fluvial carbon dioxide fluxes and suggest that the time of day greatly influences measured carbon dioxide fluxes across European streams.
CORE arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Full-Text: http://hdl.handle.net/11579/142540Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPermanent Hosting, Archiving and Indexing of Digital Resources and AssetsArticle . 2021License: CC BYUniversidade de Lisboa: Repositório.ULArticle . 2021License: CC BYData sources: Universidade de Lisboa: Repositório.ULPublikationer från Umeå universitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Umeå universitetPublikationer från Uppsala UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Uppsala UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s43247-021-00192-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu39 citations 39 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Full-Text: http://hdl.handle.net/11579/142540Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPermanent Hosting, Archiving and Indexing of Digital Resources and AssetsArticle . 2021License: CC BYUniversidade de Lisboa: Repositório.ULArticle . 2021License: CC BYData sources: Universidade de Lisboa: Repositório.ULPublikationer från Umeå universitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Umeå universitetPublikationer från Uppsala UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Uppsala UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s43247-021-00192-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Italy, Austria, Sweden, Sweden, Portugal, Austria, Italy, Austria, Portugal, France, GermanyPublisher:Springer Science and Business Media LLC Funded by:FCT | SFRH/BD/115030/2016, FCT | SFRH/BD/131924/2017, EC | CHROMEFCT| SFRH/BD/115030/2016 ,FCT| SFRH/BD/131924/2017 ,EC| CHROMEMagdalena Nagler; Xisca Timoner; Xisca Timoner; Katrin Attermeyer; Katrin Attermeyer; Sophie Cauvy-Fraunié; Sonia Herrero Ortega; Juliana Monteiro; Francesca Pilotto; Vesela Evtimova; Anne Deininger; Anne Deininger; David H. Fletcher; Laura Barral-Fraga; Ana Portela; Elvira de Eyto; Ada Pastor; Ada Pastor; Ada Pastor; Ferran Romero; Ferran Romero; Tea Bašić; Tea Bašić; Danny Sheath; Danny Sheath; Nikolay Simov; Thomas Fuss; Christian Noss; Alberto Doretto; Joachim Audet; Joachim Audet; Anna Freixa; Anna Freixa; Georgina M. A. Busst; Marcus Klaus; Marcus Klaus; Brian C. Doyle; Jordi-René Mor; Jordi-René Mor; Nina Pansch; Josephine Pegg; Josephine Pegg; Clara Mendoza-Lera; José L. J. Ledesma; José L. J. Ledesma; José L. J. Ledesma; Liu Liu; Liu Liu; Georg H. Niedrist; Catherine Gutmann Roberts; Anna C. Nydahl; Lyubomir Kenderov; Stefano Fenoglio; Jeremy Fonvielle; Martin Rulík; Peter Gilbert; Clara Romero González-Quijano; Joan Pere Casas-Ruiz; Joan Pere Casas-Ruiz; Núria Catalán; Pascal Bodmer; Pascal Bodmer; Pascal Bodmer; Miriam Colls; Miriam Colls; Adam Bednařík;handle: 11353/10.1536527 , 2318/1799544 , 11579/142540
AbstractGlobally, inland waters emit over 2 Pg of carbon per year as carbon dioxide, of which the majority originates from streams and rivers. Despite the global significance of fluvial carbon dioxide emissions, little is known about their diel dynamics. Here we present a large-scale assessment of day- and night-time carbon dioxide fluxes at the water-air interface across 34 European streams. We directly measured fluxes four times between October 2016 and July 2017 using drifting chambers. Median fluxes are 1.4 and 2.1 mmol m−2 h−1 at midday and midnight, respectively, with night fluxes exceeding those during the day by 39%. We attribute diel carbon dioxide flux variability mainly to changes in the water partial pressure of carbon dioxide. However, no consistent drivers could be identified across sites. Our findings highlight widespread day-night changes in fluvial carbon dioxide fluxes and suggest that the time of day greatly influences measured carbon dioxide fluxes across European streams.
CORE arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Full-Text: http://hdl.handle.net/11579/142540Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPermanent Hosting, Archiving and Indexing of Digital Resources and AssetsArticle . 2021License: CC BYUniversidade de Lisboa: Repositório.ULArticle . 2021License: CC BYData sources: Universidade de Lisboa: Repositório.ULPublikationer från Umeå universitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Umeå universitetPublikationer från Uppsala UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Uppsala UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s43247-021-00192-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu39 citations 39 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Full-Text: http://hdl.handle.net/11579/142540Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03258121Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPermanent Hosting, Archiving and Indexing of Digital Resources and AssetsArticle . 2021License: CC BYUniversidade de Lisboa: Repositório.ULArticle . 2021License: CC BYData sources: Universidade de Lisboa: Repositório.ULPublikationer från Umeå universitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Umeå universitetPublikationer från Uppsala UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer från Uppsala UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data PortalInstitut National de la Recherche Agronomique: ProdINRAArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s43247-021-00192-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Springer Science and Business Media LLC Louis J. Skovsholt; Ada Pastor; Catherine L. Docherty; Alexander M. Milner; Tenna Riis;Global change is predicted to have a marked impact on freshwater ecosystems in the High Arctic, including temperature increase, enhanced precipitation, permafrost degradation and increased vegetation cover. These changes in river catchments can alter flow regime, solute transport to streams and substantially affect stream ecosystem functioning. The objective of this study was to evaluate changes in stream functioning in a high-Arctic stream in relation to changes in discharge, and runoff flow path. We measured environmental factors, biofilm structure, nutrient uptake rates and metabolism. We studied three reaches in a headwater stream in NE Greenland with different catchment characteristics in early and late summer (during two different years) to evaluate the potential influence of environmental change on Arctic stream ecosystem functioning. Highest nutrient uptake, primary production and ecosystem respiration was found in late summer showing that streams are more efficient at retaining nutrients and have higher autotrophic production, likely due to less impact of snowmelt, and lower discharge increasing the surface to volume ratio between streambed and water column. Nutrient uptake rates in late summer from high-Arctic tundra streams were comparable to uptake rates in temperate pristine streams, likely due to no shading by bank vegetation and longer days in the high-Arctic summer compared to temperate streams. Overall, the results of this study aids in the endeavor of predicting how climate-derived changes will affect in-stream nutrient uptake and metabolism in high-Arctic streams. The results suggest that their capacity to transport, cycle and retain carbon and nutrient may increase if the importance of soil water flow paths for streams also increase, thus with effect to stream trophic relations and solute export to coastal areas.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-020-00719-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-020-00719-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Springer Science and Business Media LLC Louis J. Skovsholt; Ada Pastor; Catherine L. Docherty; Alexander M. Milner; Tenna Riis;Global change is predicted to have a marked impact on freshwater ecosystems in the High Arctic, including temperature increase, enhanced precipitation, permafrost degradation and increased vegetation cover. These changes in river catchments can alter flow regime, solute transport to streams and substantially affect stream ecosystem functioning. The objective of this study was to evaluate changes in stream functioning in a high-Arctic stream in relation to changes in discharge, and runoff flow path. We measured environmental factors, biofilm structure, nutrient uptake rates and metabolism. We studied three reaches in a headwater stream in NE Greenland with different catchment characteristics in early and late summer (during two different years) to evaluate the potential influence of environmental change on Arctic stream ecosystem functioning. Highest nutrient uptake, primary production and ecosystem respiration was found in late summer showing that streams are more efficient at retaining nutrients and have higher autotrophic production, likely due to less impact of snowmelt, and lower discharge increasing the surface to volume ratio between streambed and water column. Nutrient uptake rates in late summer from high-Arctic tundra streams were comparable to uptake rates in temperate pristine streams, likely due to no shading by bank vegetation and longer days in the high-Arctic summer compared to temperate streams. Overall, the results of this study aids in the endeavor of predicting how climate-derived changes will affect in-stream nutrient uptake and metabolism in high-Arctic streams. The results suggest that their capacity to transport, cycle and retain carbon and nutrient may increase if the importance of soil water flow paths for streams also increase, thus with effect to stream trophic relations and solute export to coastal areas.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-020-00719-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s10533-020-00719-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:IOP Publishing Funded by:EC | GreenFeedBackEC| GreenFeedBackShannon L Speir; Jennifer L Tank; Ada Pastor; Marc F Muller; Mikhail Mastepanov; Tenna Riis;Abstract Climate change is expected to alter nitrogen (N) export from Arctic rivers, with potential implications for fragile coastal ecosystems and fisheries. Yet, the directionality of change is poorly understood, as increased mobilization of N in a ‘thawing’ Arctic is countered by higher rates of vegetative uptake in a ‘greening’ Arctic, particularly in the understudied region of Greenland. We use an unprecedented dataset of long-term (n = 18 years) river chemistry, streamflow, and catchment-scale changes in snow and vegetation to document changing riverine N loss in Greenland. We documented decreasing inorganic and organic N loads, linked to decreasing snow stores, warming soils, and enhanced plant uptake. Higher variability in N export across years also points to the increasing role of high flow events in driving downstream N loss. This alteration in N cycling may significantly reduce both inorganic and organic N transport across the terrestrial-aquatic boundary during the open water season in a rapidly warming Greenland.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ad3e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ad3e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:IOP Publishing Funded by:EC | GreenFeedBackEC| GreenFeedBackShannon L Speir; Jennifer L Tank; Ada Pastor; Marc F Muller; Mikhail Mastepanov; Tenna Riis;Abstract Climate change is expected to alter nitrogen (N) export from Arctic rivers, with potential implications for fragile coastal ecosystems and fisheries. Yet, the directionality of change is poorly understood, as increased mobilization of N in a ‘thawing’ Arctic is countered by higher rates of vegetative uptake in a ‘greening’ Arctic, particularly in the understudied region of Greenland. We use an unprecedented dataset of long-term (n = 18 years) river chemistry, streamflow, and catchment-scale changes in snow and vegetation to document changing riverine N loss in Greenland. We documented decreasing inorganic and organic N loads, linked to decreasing snow stores, warming soils, and enhanced plant uptake. Higher variability in N export across years also points to the increasing role of high flow events in driving downstream N loss. This alteration in N cycling may significantly reduce both inorganic and organic N transport across the terrestrial-aquatic boundary during the open water season in a rapidly warming Greenland.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ad3e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/ad3e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Paraskevi, Manolaki; Pau, Gimenez Grau; Ada, Pastor; Annette, Baattrup Pedersen; +1 AuthorsParaskevi, Manolaki; Pau, Gimenez Grau; Ada, Pastor; Annette, Baattrup Pedersen; Tenna, Riis;pmid: 35447446
Problems related to extensive macrophyte growth are widespread both in modified and man-made canals and streams, and in streams with natural morphology and rich vegetation. The weed cutting is a common management practice in order to reduce flood risk and enhance water conveyance. Although the short- and long-term impacts on the stream physical habitats and biota have been extensively studied, only little information exists on the effects of weed cutting on ecosystem metabolism, especially for larger rivers. This study aims to quantify effects of weed cutting on metabolic rates in a large lowland river in Denmark. We measured Gross Primary Production (GPP), Ecosystem Respiration (ER) and physical parameters (water depth, discharge, water velocity and reaeration rate) one week prior and 2-6 weeks after weed cutting in 2014 and 2020. Physical river conditions changed significantly after the removal of approximately 60% of macrophytic volume, and a significant reduction in water depth and increased water velocity was recorded. We found an immediate 38% and 61% reduction in GPP and 28% and 35% reduction in ER after weed cutting in 2014 and 2020 respectively. We also found that the metabolic rates did not recover to pre-weed cutting levels within 2-6 weeks after weed cutting. The higher decline in GPP compared to that in ER indicates that the heterotrophic contribution to ER was higher compared to the autotrophic contribution. Our results display that even in a large macrophyte-rich river, where only one-third of the channel is managed by weed cutting, GPP and ER can be reduced significantly. The cascade effects of metabolic rates alterations on ecosystem structure and functioning need to be considered in the future management plans, where higher plant biomass and increased flow is anticipated due to the ongoing climate change and thus, the demand for weed cutting might be intensified.
PURE Aarhus Universi... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2022.115014&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PURE Aarhus Universi... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Paraskevi, Manolaki; Pau, Gimenez Grau; Ada, Pastor; Annette, Baattrup Pedersen; +1 AuthorsParaskevi, Manolaki; Pau, Gimenez Grau; Ada, Pastor; Annette, Baattrup Pedersen; Tenna, Riis;pmid: 35447446
Problems related to extensive macrophyte growth are widespread both in modified and man-made canals and streams, and in streams with natural morphology and rich vegetation. The weed cutting is a common management practice in order to reduce flood risk and enhance water conveyance. Although the short- and long-term impacts on the stream physical habitats and biota have been extensively studied, only little information exists on the effects of weed cutting on ecosystem metabolism, especially for larger rivers. This study aims to quantify effects of weed cutting on metabolic rates in a large lowland river in Denmark. We measured Gross Primary Production (GPP), Ecosystem Respiration (ER) and physical parameters (water depth, discharge, water velocity and reaeration rate) one week prior and 2-6 weeks after weed cutting in 2014 and 2020. Physical river conditions changed significantly after the removal of approximately 60% of macrophytic volume, and a significant reduction in water depth and increased water velocity was recorded. We found an immediate 38% and 61% reduction in GPP and 28% and 35% reduction in ER after weed cutting in 2014 and 2020 respectively. We also found that the metabolic rates did not recover to pre-weed cutting levels within 2-6 weeks after weed cutting. The higher decline in GPP compared to that in ER indicates that the heterotrophic contribution to ER was higher compared to the autotrophic contribution. Our results display that even in a large macrophyte-rich river, where only one-third of the channel is managed by weed cutting, GPP and ER can be reduced significantly. The cascade effects of metabolic rates alterations on ecosystem structure and functioning need to be considered in the future management plans, where higher plant biomass and increased flow is anticipated due to the ongoing climate change and thus, the demand for weed cutting might be intensified.
PURE Aarhus Universi... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert PURE Aarhus Universi... arrow_drop_down Journal of Environmental ManagementArticle . 2022 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014 SpainPublisher:Springer Science and Business Media LLC Funded by:NSF | IGERT - Integrative Biosc..., NSF | FIBR: Ecological Genomics...NSF| IGERT - Integrative Bioscience: Genes to Environment ,NSF| FIBR: Ecological Genomics and Heritability: Consequences of Extended PhenotypesPastor, Ada; Compson, Zacchaeus G.; Dijkstra, P.; Riera, Joan L.; Martí, Eugènia; Sabater, Francesc; Hungate, Bruce A.; Marks, J. C.;Leaf litter decomposition plays a major role in nutrient dynamics in forested streams. The chemical composition of litter affects its processing by microorganisms, which obtain nutrients from litter and from the water column. The balance of these fluxes is not well known, because they occur simultaneously and thus are difficult to quantify separately. Here, we examined C and N flow from streamwater and leaf litter to microbial biofilms during decomposition. We used isotopically enriched leaves ((13)C and (15)N) from two riparian foundation tree species: fast-decomposing Populus fremontii and slow-decomposing Populus angustifolia, which differed in their concentration of recalcitrant compounds. We adapted the isotope pool dilution method to estimate gross elemental fluxes into litter microbes. Three key findings emerged: litter type strongly affected biomass and stoichiometry of microbial assemblages growing on litter; the proportion of C and N in microorganisms derived from the streamwater, as opposed to the litter, did not differ between litter types, but increased throughout decomposition; gross immobilization of N from the streamwater was higher for P. fremontii compared to P. angustifolia, probably as a consequence of the higher microbial biomass on P. fremontii. In contrast, gross immobilization of C from the streamwater was higher for P. angustifolia, suggesting that dissolved organic C in streamwater was used as an additional energy source by microbial assemblages growing on slow-decomposing litter. These results indicate that biofilms on decomposing litter have specific element requirements driven by litter characteristics, which might have implications for whole-stream nutrient retention.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2014 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 37visibility views 37 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2014 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-014-3063-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014 SpainPublisher:Springer Science and Business Media LLC Funded by:NSF | IGERT - Integrative Biosc..., NSF | FIBR: Ecological Genomics...NSF| IGERT - Integrative Bioscience: Genes to Environment ,NSF| FIBR: Ecological Genomics and Heritability: Consequences of Extended PhenotypesPastor, Ada; Compson, Zacchaeus G.; Dijkstra, P.; Riera, Joan L.; Martí, Eugènia; Sabater, Francesc; Hungate, Bruce A.; Marks, J. C.;Leaf litter decomposition plays a major role in nutrient dynamics in forested streams. The chemical composition of litter affects its processing by microorganisms, which obtain nutrients from litter and from the water column. The balance of these fluxes is not well known, because they occur simultaneously and thus are difficult to quantify separately. Here, we examined C and N flow from streamwater and leaf litter to microbial biofilms during decomposition. We used isotopically enriched leaves ((13)C and (15)N) from two riparian foundation tree species: fast-decomposing Populus fremontii and slow-decomposing Populus angustifolia, which differed in their concentration of recalcitrant compounds. We adapted the isotope pool dilution method to estimate gross elemental fluxes into litter microbes. Three key findings emerged: litter type strongly affected biomass and stoichiometry of microbial assemblages growing on litter; the proportion of C and N in microorganisms derived from the streamwater, as opposed to the litter, did not differ between litter types, but increased throughout decomposition; gross immobilization of N from the streamwater was higher for P. fremontii compared to P. angustifolia, probably as a consequence of the higher microbial biomass on P. fremontii. In contrast, gross immobilization of C from the streamwater was higher for P. angustifolia, suggesting that dissolved organic C in streamwater was used as an additional energy source by microbial assemblages growing on slow-decomposing litter. These results indicate that biofilms on decomposing litter have specific element requirements driven by litter characteristics, which might have implications for whole-stream nutrient retention.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2014 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-014-3063-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 37visibility views 37 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2014 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s00442-014-3063-y&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 DenmarkPublisher:Wiley Ada Pastor; Louis J. Skovsholt; Kirsten S. Christoffersen; Naicheng Wu; Tenna Riis;doi: 10.1002/hyp.14369
AbstractClimate change is causing drastic landscape changes in the Arctic, but how these changes modify stream biogeochemistry is not clear yet. We examined how catchment properties influence stream nitrogen (N) and dissolved organic carbon concentrations (DOC) in a high‐Arctic environment. We sampled two contrasting headwater streams (10–15 stations over 4.8 and 6.8 km, respectively) in Northeast Greenland (74°N). We characterized the geomorphology (i.e., bedrock, solifluction and alluvial types) and the vegetation (i.e., barren, fell field, grassland and tundra types) cover of each subcatchment area draining into each sampling station and collected water samples for hydrochemistry characterization. The two sampled streams differed in geomorphology and vegetation cover in the catchment. Aucellaelv catchment was mostly covered by a ‘bedrock’ geomorphology (71%) and ‘fellfield’ vegetation (51%), whereas Kæerelv was mostly covered by ‘alluvial’ geomorphology (65%) and ‘grassland’ and ‘tundra’ vegetation (42% and 41% respectively). Hydrochemistry also differed between the two study streams, with higher concentrations of inorganic N forms in Aucellaelv and lower DOC concentrations, compared to Kærelv. The results from the linear mixed model selection showed that vegetation and geomorphology had contrasting effects on stream hydrochemistry. Subcatchments with higher solifluction sheets and limited vegetation had higher nitrate concentrations but lower DOC concentrations. Interestingly, we also found high variability on the production and removal of nitrate across subcatchments. These results indicate landscape controls to nutrient and organic matter exports via flow paths, soil organic matter stocks and nutrient retention via terrestrial vegetation. Moreover, the results suggest that climate change induced alterations to vegetation cover and soil physical disturbance in high‐Arctic catchments will affect stream hydrochemistry, with potential effects in stream productivity, trophic relations as well as change of solute export to downstream coastal areas.
Copenhagen Universit... arrow_drop_down Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Hydrological ProcessesArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/hyp.14369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Copenhagen Universit... arrow_drop_down Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Hydrological ProcessesArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/hyp.14369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 DenmarkPublisher:Wiley Ada Pastor; Louis J. Skovsholt; Kirsten S. Christoffersen; Naicheng Wu; Tenna Riis;doi: 10.1002/hyp.14369
AbstractClimate change is causing drastic landscape changes in the Arctic, but how these changes modify stream biogeochemistry is not clear yet. We examined how catchment properties influence stream nitrogen (N) and dissolved organic carbon concentrations (DOC) in a high‐Arctic environment. We sampled two contrasting headwater streams (10–15 stations over 4.8 and 6.8 km, respectively) in Northeast Greenland (74°N). We characterized the geomorphology (i.e., bedrock, solifluction and alluvial types) and the vegetation (i.e., barren, fell field, grassland and tundra types) cover of each subcatchment area draining into each sampling station and collected water samples for hydrochemistry characterization. The two sampled streams differed in geomorphology and vegetation cover in the catchment. Aucellaelv catchment was mostly covered by a ‘bedrock’ geomorphology (71%) and ‘fellfield’ vegetation (51%), whereas Kæerelv was mostly covered by ‘alluvial’ geomorphology (65%) and ‘grassland’ and ‘tundra’ vegetation (42% and 41% respectively). Hydrochemistry also differed between the two study streams, with higher concentrations of inorganic N forms in Aucellaelv and lower DOC concentrations, compared to Kærelv. The results from the linear mixed model selection showed that vegetation and geomorphology had contrasting effects on stream hydrochemistry. Subcatchments with higher solifluction sheets and limited vegetation had higher nitrate concentrations but lower DOC concentrations. Interestingly, we also found high variability on the production and removal of nitrate across subcatchments. These results indicate landscape controls to nutrient and organic matter exports via flow paths, soil organic matter stocks and nutrient retention via terrestrial vegetation. Moreover, the results suggest that climate change induced alterations to vegetation cover and soil physical disturbance in high‐Arctic catchments will affect stream hydrochemistry, with potential effects in stream productivity, trophic relations as well as change of solute export to downstream coastal areas.
Copenhagen Universit... arrow_drop_down Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Hydrological ProcessesArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/hyp.14369&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Copenhagen Universit... arrow_drop_down Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Hydrological ProcessesArticle . 2021 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Holmboe, Cecilie Marie Hartvig; Riis, Tenna; Pastor, Ada;Data was collected through a systematic search on the Web of Science (WOS) search engine to find relevant, scientific peer-reviewed articles on N water chemistry from Arctic flowing waters. A "topic" search performed on 4 November 2021 yielded 175 articles: (((stream* OR river* OR watercourse* OR tributary OR creek OR brook) AND (Arctic* OR Greenland* OR Svalbard* OR Siberia*) AND (nitrate* OR ammonium* OR nitrogen*) NOT (sea* OR ocean* OR lake* OR pond*))). The articles from this search were combined with data obtained from The Greenland Ecosystem Monitoring (GEM) database (Greenland Ecosystem Monitoring, 2020b; doi:10.1016/j.rse.2006.03.011, 2020a; doi:10.17897/ZJK8-0B45 ), the National Science Foundation's Long Term Ecological Research (LTER) database (Bowden, 2021),and published articles that were not initially found through the main keyword search. This resulted in 215 articles in total. This was also combined with 21 unpublished data points of our group.After retrieval, all articles and data were systematically scanned for data adhering to the following criteria: (a) data on N water concentration (NO3-, NH4+, DON and/or TDN) for a particular year from Arctic flowing waters; and (b) not to include streams that was impacted by human nutrient enrichment. The initial search did not yield any data regarding particulate N and, therefore, we did not assess this N type. In this study, the Arctic is defined as everything above the treeline (i.e. the northernmost latitude at which trees can grow and sustain themselves (CAVM, 2003). Data from figures were extracted using the WebPlotDigitizer. In order to also include sites with solute concentrations below detection limit we dealt with these low values in the following way: if the detection limit was specified in the study, the values below the detection limit were substituted for the limit of detection divided by 2. If there was no information on the limit of detection (i.e., if only the abbreviation was presented), we excluded the values from the analyses (See dataset in Supporting Information.)Bioclimate subzonesWe divided the Arctic into bioclimate subzones A-E, which is based on vegetation height and July temperature (Walker, 2005, doi:10.1111/j.1654-1103.2005.tb02365.x). The bioclimate subzone GeoTiff dataset was downloaded from the Circumpolar Arctic Vegetation Mapping Project (https://www.geobotany.uaf.edu/cavm/data/index.html) created by the Alaska Geobotany Center (Fig. 1A). Within this classification, temperature and vegetation height increase from north to south corresponding to Subzone A to Subzone E (Walker, 2005, doi:10.1111/j.1654-1103.2005.tb02365.x).Out of the 215 published articles, 20 articles met our criteria along with four datasets from databases (Holmboe et al., 2024). Combined with the 21 unpublished data points from our group, we obtained 2381 observations on N water chemistry from' Arctic flowing waters from 1996 to 2021 (see Excel sheet in Supporting Information). The data included water samples collected during summer, primarily July and August. We tested for temporal trends that could have been caused by climate change since 1996 by dividing the data into the first and second half sample period (i.e.1996-2008 (early) and 2009-2021 (late). However, in an initial test of patterns found in the early period versus the patterns found in late period we did not find any noticeable differences (Fig. S2 & S3 in Supporting Information). We therefore did the analyses with all years lumped together within the single period 1996-2021.NDVI and PhytomassTo assess the effect of vegetation more directly, we used two other vegetation parameters; Normalized difference vegetation index (NDVI) and Phytomass (Raynolds et al., 2006; doi:10.1016/j.rse.2006.02.016). Both GeoTiff datasets come from the Circumpolar Arctic Vegetation Mapping Project (https://www.geobotany.uaf.edu/cavm/data/index.html) created by the Alaska Geobotany Center, and information about the data can be found in Raynolds et al. (2006; doi:10.1016/j.rse.2006.02.016). The NDVI measures the relative greenness of an area and is derived from satellite images containing information about the spectral reflectance in the near-infrared (NIR) and red (R) spectral area that can be extracted and used to calculate NDVI. NDVI can be calculated as: NDVI = (NIR - R) / (NIR + R). Values vary from -1 to +1, where values closer to 1 indicate more vegetated areas. We focussed on the maximum NDVI in an area, divided into six categories (Raynolds et al., 2006): NDVI [< 0.03], [0.03 - 0.14], [0.15 - 0.26], [0.27 - 0.38], [0.39 - 0.50] and [0.51 - 0.56]. In general, NDVI has been shown to correlate with the bioclimate subzones and decreases from south to north (Raynolds et al., 2006). Phytomass is the above-ground plant biomass measured in g/m² and is calculated from a regression relationship between NDVI and field measured phytomass derived from clip harvest data collected on the North Slope of Alaska, as described in detail in Raynolds et al. (2006) and Walker et al. (2003). Phytomass is divided into six categories; [< 30 g/m²], [30 - 70 g/m²], [70 - 160 g/m²], [160 - 370 g/m²], [370 - 850 g/m²] and [850 - 1300 g/m²]. We use the same colours as the original legend by Raynolds et al. (2006) for both NDVI and phytomass. In the dataset, NDVI and phytomass are respresented as categorical values from 1 to 6. For NDVI 1 corresponds to NDVI > 0.03 and 7 corresponds to NDVI 0.51-0.56. For Phytomass, 1 corresponds to < 30 g/m2 and 6 corresponds to 850-1300 g/m².Interpreting the vegetation parametersTo be able to interpret the vegetation parameters more precisely, we have divided the sites into three categories according to the following criteria; "Barren" (Bioclimate subzones A and B, NDVI < 0.14, phytomass < 70 g/m²), "Sparsely vegetated" (Bioclimate subzones C, D and E, 0.15 < NDVI < 0.5, 70 g/m² < phytomass < 850 g/m²) and "Moderately vegetated" (Bioclimate Subzone E, 0.5 < NDVI < 0.56, 850 g/m² < phytomass < 1300 g/m²) (Julien et al., 2006 (doi:10.1016/j.rse.2006.03.011); Raynolds et al., 2006 (doi:10.1016/j.rse.2006.02.016); Sobrino & Raissouni, 2000 (doi:10.1080/014311600210876)). The data in this study was not located in areas with dense vegetation, where NDVI reaches values above 0.6 (Corrales et al., 2018, doi:10.1007/978-3-030-04447-3_7).Climatic variablesSeveral climatic variables were used to support the vegetation parameters and test the relationship with N concentrations in streams. Annual mean air temperature (°C, Air temp.), Annual precipitation (mm, Precipitation), Maximum temperature of Warmest Month (°C, Max air temp.) and Minimum temperature of Coldest Month (°C, Min. air temp.) were extracted from the WorldClim database of Bioclimatic variables (version 2, 2020) in 1 km² resolution (Fick & Hijmans, 2017, doi:10.1002/joc.5086). These values are an average for the years 1970-2000. Annual mean soil temperature (°C, Soil temp.) data were extracted from the Global Soil Bioclimate variables based on data from 1979-2013 in two depth intervals: 0-5 cm and 5-15 cm (Lembrechts et al., 2021; doi:10.1111/gcb.16060). The soil organic carbon content (SOCC, kg C/m² at 30 and 100 cm depth was extracted from the Northern Circumpolar Soil Carbon Database version 2 (NCSCDv2) (https://bolin.su.se/data/ncscd/). In the Arctic, little information is available, especially in terms of N availability and composition (i.e., nitrate, ammonium, and dissolved organic nitrogen) from small, flowing waters. This data set aims to quantify N concentrations across small Arctic streams and explore the link between terrestrial vegetation and stream water N concentration. The data set is the result of a literature study where data on N water chemistry was collected and combined from peer-reviewed, published articles and data sets selected by specific criteria. 20 articles met the selected criteria along with four datasets from databases resulting in a total of 2381 observations on N water chemistry from Arctic flowing waters from 1996 to 2021. Bioclimate subzones, NDVI and phytomass describe vegetation. Data on dissolved organic nitrogen (DON) was scarce: only 161 of the 2381 observations contained DON data. We found that nitrate (NO3-), ammonium (NH4+) and DON ranged undetectable to 1155, 547 and 1587 µg N/l, respectively. We found that sparsely vegetated areas had higher stream water N-concentrations, while barren areas and higher vegetated areas had lower stream water N-concentrations.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2024License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2024License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:PANGAEA Authors: Holmboe, Cecilie Marie Hartvig; Riis, Tenna; Pastor, Ada;Data was collected through a systematic search on the Web of Science (WOS) search engine to find relevant, scientific peer-reviewed articles on N water chemistry from Arctic flowing waters. A "topic" search performed on 4 November 2021 yielded 175 articles: (((stream* OR river* OR watercourse* OR tributary OR creek OR brook) AND (Arctic* OR Greenland* OR Svalbard* OR Siberia*) AND (nitrate* OR ammonium* OR nitrogen*) NOT (sea* OR ocean* OR lake* OR pond*))). The articles from this search were combined with data obtained from The Greenland Ecosystem Monitoring (GEM) database (Greenland Ecosystem Monitoring, 2020b; doi:10.1016/j.rse.2006.03.011, 2020a; doi:10.17897/ZJK8-0B45 ), the National Science Foundation's Long Term Ecological Research (LTER) database (Bowden, 2021),and published articles that were not initially found through the main keyword search. This resulted in 215 articles in total. This was also combined with 21 unpublished data points of our group.After retrieval, all articles and data were systematically scanned for data adhering to the following criteria: (a) data on N water concentration (NO3-, NH4+, DON and/or TDN) for a particular year from Arctic flowing waters; and (b) not to include streams that was impacted by human nutrient enrichment. The initial search did not yield any data regarding particulate N and, therefore, we did not assess this N type. In this study, the Arctic is defined as everything above the treeline (i.e. the northernmost latitude at which trees can grow and sustain themselves (CAVM, 2003). Data from figures were extracted using the WebPlotDigitizer. In order to also include sites with solute concentrations below detection limit we dealt with these low values in the following way: if the detection limit was specified in the study, the values below the detection limit were substituted for the limit of detection divided by 2. If there was no information on the limit of detection (i.e., if only the abbreviation was presented), we excluded the values from the analyses (See dataset in Supporting Information.)Bioclimate subzonesWe divided the Arctic into bioclimate subzones A-E, which is based on vegetation height and July temperature (Walker, 2005, doi:10.1111/j.1654-1103.2005.tb02365.x). The bioclimate subzone GeoTiff dataset was downloaded from the Circumpolar Arctic Vegetation Mapping Project (https://www.geobotany.uaf.edu/cavm/data/index.html) created by the Alaska Geobotany Center (Fig. 1A). Within this classification, temperature and vegetation height increase from north to south corresponding to Subzone A to Subzone E (Walker, 2005, doi:10.1111/j.1654-1103.2005.tb02365.x).Out of the 215 published articles, 20 articles met our criteria along with four datasets from databases (Holmboe et al., 2024). Combined with the 21 unpublished data points from our group, we obtained 2381 observations on N water chemistry from' Arctic flowing waters from 1996 to 2021 (see Excel sheet in Supporting Information). The data included water samples collected during summer, primarily July and August. We tested for temporal trends that could have been caused by climate change since 1996 by dividing the data into the first and second half sample period (i.e.1996-2008 (early) and 2009-2021 (late). However, in an initial test of patterns found in the early period versus the patterns found in late period we did not find any noticeable differences (Fig. S2 & S3 in Supporting Information). We therefore did the analyses with all years lumped together within the single period 1996-2021.NDVI and PhytomassTo assess the effect of vegetation more directly, we used two other vegetation parameters; Normalized difference vegetation index (NDVI) and Phytomass (Raynolds et al., 2006; doi:10.1016/j.rse.2006.02.016). Both GeoTiff datasets come from the Circumpolar Arctic Vegetation Mapping Project (https://www.geobotany.uaf.edu/cavm/data/index.html) created by the Alaska Geobotany Center, and information about the data can be found in Raynolds et al. (2006; doi:10.1016/j.rse.2006.02.016). The NDVI measures the relative greenness of an area and is derived from satellite images containing information about the spectral reflectance in the near-infrared (NIR) and red (R) spectral area that can be extracted and used to calculate NDVI. NDVI can be calculated as: NDVI = (NIR - R) / (NIR + R). Values vary from -1 to +1, where values closer to 1 indicate more vegetated areas. We focussed on the maximum NDVI in an area, divided into six categories (Raynolds et al., 2006): NDVI [< 0.03], [0.03 - 0.14], [0.15 - 0.26], [0.27 - 0.38], [0.39 - 0.50] and [0.51 - 0.56]. In general, NDVI has been shown to correlate with the bioclimate subzones and decreases from south to north (Raynolds et al., 2006). Phytomass is the above-ground plant biomass measured in g/m² and is calculated from a regression relationship between NDVI and field measured phytomass derived from clip harvest data collected on the North Slope of Alaska, as described in detail in Raynolds et al. (2006) and Walker et al. (2003). Phytomass is divided into six categories; [< 30 g/m²], [30 - 70 g/m²], [70 - 160 g/m²], [160 - 370 g/m²], [370 - 850 g/m²] and [850 - 1300 g/m²]. We use the same colours as the original legend by Raynolds et al. (2006) for both NDVI and phytomass. In the dataset, NDVI and phytomass are respresented as categorical values from 1 to 6. For NDVI 1 corresponds to NDVI > 0.03 and 7 corresponds to NDVI 0.51-0.56. For Phytomass, 1 corresponds to < 30 g/m2 and 6 corresponds to 850-1300 g/m².Interpreting the vegetation parametersTo be able to interpret the vegetation parameters more precisely, we have divided the sites into three categories according to the following criteria; "Barren" (Bioclimate subzones A and B, NDVI < 0.14, phytomass < 70 g/m²), "Sparsely vegetated" (Bioclimate subzones C, D and E, 0.15 < NDVI < 0.5, 70 g/m² < phytomass < 850 g/m²) and "Moderately vegetated" (Bioclimate Subzone E, 0.5 < NDVI < 0.56, 850 g/m² < phytomass < 1300 g/m²) (Julien et al., 2006 (doi:10.1016/j.rse.2006.03.011); Raynolds et al., 2006 (doi:10.1016/j.rse.2006.02.016); Sobrino & Raissouni, 2000 (doi:10.1080/014311600210876)). The data in this study was not located in areas with dense vegetation, where NDVI reaches values above 0.6 (Corrales et al., 2018, doi:10.1007/978-3-030-04447-3_7).Climatic variablesSeveral climatic variables were used to support the vegetation parameters and test the relationship with N concentrations in streams. Annual mean air temperature (°C, Air temp.), Annual precipitation (mm, Precipitation), Maximum temperature of Warmest Month (°C, Max air temp.) and Minimum temperature of Coldest Month (°C, Min. air temp.) were extracted from the WorldClim database of Bioclimatic variables (version 2, 2020) in 1 km² resolution (Fick & Hijmans, 2017, doi:10.1002/joc.5086). These values are an average for the years 1970-2000. Annual mean soil temperature (°C, Soil temp.) data were extracted from the Global Soil Bioclimate variables based on data from 1979-2013 in two depth intervals: 0-5 cm and 5-15 cm (Lembrechts et al., 2021; doi:10.1111/gcb.16060). The soil organic carbon content (SOCC, kg C/m² at 30 and 100 cm depth was extracted from the Northern Circumpolar Soil Carbon Database version 2 (NCSCDv2) (https://bolin.su.se/data/ncscd/). In the Arctic, little information is available, especially in terms of N availability and composition (i.e., nitrate, ammonium, and dissolved organic nitrogen) from small, flowing waters. This data set aims to quantify N concentrations across small Arctic streams and explore the link between terrestrial vegetation and stream water N concentration. The data set is the result of a literature study where data on N water chemistry was collected and combined from peer-reviewed, published articles and data sets selected by specific criteria. 20 articles met the selected criteria along with four datasets from databases resulting in a total of 2381 observations on N water chemistry from Arctic flowing waters from 1996 to 2021. Bioclimate subzones, NDVI and phytomass describe vegetation. Data on dissolved organic nitrogen (DON) was scarce: only 161 of the 2381 observations contained DON data. We found that nitrate (NO3-), ammonium (NH4+) and DON ranged undetectable to 1155, 547 and 1587 µg N/l, respectively. We found that sparsely vegetated areas had higher stream water N-concentrations, while barren areas and higher vegetated areas had lower stream water N-concentrations.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2024License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2024License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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