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description Publicationkeyboard_double_arrow_right Article , Journal 2020Embargo end date: 01 Jan 2020 Australia, United Kingdom, France, Spain, United States, Czech Republic, Russian Federation, Italy, France, Germany, Russian Federation, France, Italy, Australia, Germany, Belgium, United Kingdom, Switzerland, Czech Republic, Italy, United KingdomPublisher:Wiley Publicly fundedFunded by:EC | FORMICA, RSF | The anatomical and physio..., DFG +13 projectsEC| FORMICA ,RSF| The anatomical and physiological response of Scots pine xylem formation to variable water availability ,DFG ,EC| ICOS ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,ANR| ODYSSEE ,NSF| Collaborative Research: ABI Development: Symbiota2: Enabling greater collaboration and flexibility for mobilizing biodiversity data ,SNSF| How does forest microclimate affect biodiversity dynamics? ,EC| AfricanBioServices ,UKRI| E3 - Edinburgh Earth and Environment - Doctoral Training Partnership ,SNSF| Lif3web: The present and future spatial structure of tri-trophic networks ,ANR| IMPRINT ,RCN| Disentangling the impacts of herbivory and climate on ecological dynamics ,NSF| MSB-ECA: Phylogenetically-informed modeling of the regional context of community assembly ,UKRI| Climate as a driver of shrub expansion and tundra greening ,EC| SUPER-GHarald Pauli; Josef Urban; Josef Urban; Sonia Merinero; Pieter De Frenne; Josefine Walz; Bente J. Graae; Michael B. Ashcroft; Michael B. Ashcroft; Tim Seipel; Ian Klupar; Ilya M. D. Maclean; Juan J. Jiménez; Jonas Schmeddes; Lucia Hederová; James D. M. Speed; Amanda Ratier Backes; Christian Rossi; Christian Rossi; Christian Rossi; Alessandro Petraglia; Isla H. Myers-Smith; Adrian V. Rocha; Pallieter De Smedt; Ellen Dorrepaal; Martin Macek; Pieter Vangansbeke; Miska Luoto; Nicoletta Cannone; Luca Vitale; José Luis Benito Alonso; Josef Brůna; Jan Wild; Marko Smiljanic; Edmund W. Basham; Eduardo Fuentes-Lillo; Eduardo Fuentes-Lillo; C. Johan Dahlberg; Sergiy Medinets; Keith W. Larson; Ann Milbau; Pekka Niittynen; Koenraad Van Meerbeek; Juha Aalto; Juha Aalto; Loïc Pellissier; Meelis Pärtel; Tudor-Mihai Ursu; Rafael A. García; Rafael A. García; Lore T. Verryckt; Laurenz M. Teuber; Kristoffer Hylander; Shengwei Zong; Shyam S. Phartyal; Shyam S. Phartyal; Agustina Barros; Valeria Aschero; Valeria Aschero; Rebecca A. Senior; Michael Stemkovski; Jonas J. Lembrechts; Joseph Okello; Joseph Okello; Jan Altman; Romina D. Dimarco; Julia Kemppinen; Pavel Dan Turtureanu; Dany Ghosn; Lukas Siebicke; Andrew D. Thomas; Zuzana Sitková; Sonja Wipf; Olivier Roupsard; Sanne Govaert; Robert G. Björk; Christian D. Larson; Fatih Fazlioglu; M. Rosa Fernández Calzado; Jörg G. Stephan; Jiri Dolezal; Jiri Dolezal; Michele Carbognani; Aud H. Halbritter; Mihai Pușcaș; David H. Klinges; Juergen Kreyling; Mats P. Björkman; Florian Zellweger; Esther R. Frei; Marijn Bauters; Camille Pitteloud; Jozef Kollár; Gergana N. Daskalova; Miguel Portillo-Estrada; Robert Kanka; Ana Clara Mazzolari; William D. Pearse; William D. Pearse; Elizabeth G. Simpson; Martin Svátek; Stuart W. Smith; Stuart W. Smith; Martin A. Nuñez; Jhonatan Sallo Bravo; Onur Candan; Mana Gharun; Austin Koontz; Simone Cesarz; T'Ai Gladys Whittingham Forte; George Kazakis; Joseph J. Bailey; Zhaochen Zhang; Nico Eisenhauer; Volodymyr I. Medinets; Jonathan Lenoir; Juan Lorite; Radim Matula; Lena Muffler; Lena Muffler; Aníbal Pauchard; Aníbal Pauchard; Pascal Boeckx; Maaike Y. Bader; Robert Weigel; Marek Čiliak; Kamil Láska; Brett R. Scheffers; Camille Meeussen; Benjamin Blonder; Benjamin Blonder; Felix Gottschall; Ronja E. M. Wedegärtner; Francesco Malfasi; Jonas Ardö; Roman Plichta; Pascal Vittoz; Mario Trouillier; Julia Boike; Peter Barančok; Christian Rixen; Lisa J. Rew; Andrej Varlagin; Valter Di Cecco; Ivan Nijs; Jan Dick; Charly Geron; Charly Geron; Bernard Heinesch; Patrice Descombes; Mauro Guglielmin; Angela Stanisci; Filip Hrbáček; Martin Wilmking; Jian Zhang; Krystal Randall; Katja Tielbörger; Peter Haase; Peter Haase; Alistair S. Jump; Rafaella Canessa; Masahito Ueyama; Matěj Man; František Máliš; Marcello Tomaselli; Stef Haesen; Salvatore R. Curasi; Sylvia Haider; Andrea Lamprecht; Miguel Ángel de Pablo; Haydn J.D. Thomas; Nina Buchmann; Manuela Winkler; Klaus Steinbauer; Toke T. Høye; Fernando Moyano; Miroslav Svoboda; Christopher Andrews; Martin Kopecký; Martin Kopecký; Rebecca Finger Higgens; Hans J. De Boeck; Jürgen Homeier; Juha M. Alatalo; Ben Somers; Khatuna Gigauri; Andrej Palaj; Thomas Scholten; Mia Vedel Sørensen; Edoardo Cremonese; Liesbeth van den Brink;pmid: 32311220
handle: 20.500.14243/370921 , 1854/LU-8681704 , 11381/2880120 , 1893/31042 , 10900/106894
pmid: 32311220
handle: 20.500.14243/370921 , 1854/LU-8681704 , 11381/2880120 , 1893/31042 , 10900/106894
AbstractCurrent analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long‐term average thermal conditions at coarse spatial resolutions only. Hence, many climate‐forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold‐air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free‐air temperatures, microclimatic ground and near‐surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near‐surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.
NERC Open Research A... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03003135Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2020Full-Text: https://hdl.handle.net/11381/2880120Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/41n2d8c6Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTARepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGlobal Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2020Data sources: Universitätsbibliographie, Universität Duisburg-EssenSiberian Federal University: Archiv Elektronnych SFUArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Wollongong, Australia: Research OnlineArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2020Data 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 148 citations 148 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03003135Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2020Full-Text: https://hdl.handle.net/11381/2880120Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/41n2d8c6Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTARepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGlobal Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2020Data sources: Universitätsbibliographie, Universität Duisburg-EssenSiberian Federal University: Archiv Elektronnych SFUArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Wollongong, Australia: Research OnlineArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2020Data 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018Embargo end date: 05 Oct 2018 Germany, Switzerland, Spain, United Kingdom, Spain, Germany, GermanyPublisher:American Association for the Advancement of Science (AAAS) Funded by:DFG, EC | IDP BRIDGESDFG ,EC| IDP BRIDGESRen Yong Hu; Naili Zhang; Minjia Tan; Andy Hector; Helge Bruelheide; Bo Yang; Shan Li; Mingjian Yu; Dali Guo; Matteo Brezzi; Zhengwen Wang; Werner Härdtle; Xiaojuan Liu; Xiaojuan Liu; Thorsten Assmann; Stefan G. Michalski; Xuefei Yang; Xuefei Yang; Goddert von Oheimb; Xin Yu; Lydia Hönig; Peter Kühn; Bing Yang Ding; Martin Baruffol; Martin Baruffol; Yuanyuan Huang; Yu Liang; Andreas Schuldt; Douglas Chesters; Sabine Both; Anne C. Lang; Bernhard Schmid; Keping Ma; Ying Li; Stefan Trogisch; Stefan Trogisch; Chao-Dong Zhu; Nadia Castro-Izaguirre; Caiyun He; Walter Durka; Michael Scherer-Lorenzen; Li Zhu; Xiao-Yong Chen; Yuxin Chen; Alexandra Erfmeier; Shouren Zhang; Liang-Dong Guo; Karsten Schmidt; Xuezheng Shi; Jingyun Fang; Jintang He; Kequan Pei; Pascal A. Niklaus; David Eichenberg; David Eichenberg; Christian Wirth; Alexandra-Maria Klein; Jessica L. M. Gutknecht; François Buscot; Hong-Zhang Zhou; Jiayong Zhang; Wenhua Xiang; Thorsten Behrens; Tesfaye Wubet; Jürgen Bauhus; Erik Welk; Thomas Scholten; Markus Fischer; Zhiyao Tang;pmid: 30287660
handle: 20.500.11761/35016 , 10900/86736
Tree diversity improves forest productivity Experimental studies in grasslands have shown that the loss of species has negative consequences for ecosystem functioning. Is the same true for forests? Huang et al. report the first results from a large biodiversity experiment in a subtropical forest in China. The study combines many replicates, realistic tree densities, and large plot sizes with a wide range of species richness levels. After 8 years of the experiment, the findings suggest strong positive effects of tree diversity on forest productivity and carbon accumulation. Thus, changing from monocultures to more mixed forests could benefit both restoration of biodiversity and mitigation of climate change. Science , this issue p. 80
Science arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2023Zurich Open Repository and ArchiveArticle . 2018 . Peer-reviewedData sources: Zurich Open Repository and ArchiveEberhard Karls University Tübingen: Publication SystemArticle . 2018Data 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 527 citations 527 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert Science arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2023Zurich Open Repository and ArchiveArticle . 2018 . Peer-reviewedData sources: Zurich Open Repository and ArchiveEberhard Karls University Tübingen: Publication SystemArticle . 2018Data 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=10.1126/science.aat6405&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2014 NetherlandsPublisher:Elsevier BV Karin Nadrowski; Piet Peters; Christian Geißler; Tamás Lassu; Tamás Lassu; Philipp Goebes; Steffen Seitz; Thomas Scholten; Manuel Seeger;Rainfall erosivity is a key component in soil erosion by water. While kinetic energy and momentum are used to describe the erosivity of rainfall, and both are derived from mass and velocity of raindrops, it is not clear how different substrates transform this energy. In our study we conducted rainfall simulation experiments to determine splash detachment amounts of five substrates (coarse sand, medium sand, fine sand, PE balls, silt) for seven different rainfall intensities (52-116mmh -1 ). We used linear mixed-effect modeling (LME) to calculate erosivity predictors for each substrate. Additionally, we separated drop-size-velocity relationship into lower left and upper right quarter to investigate the effect of small and slow just as big and fast raindrops on splash detachment amounts.We suggest using momentum divided by drop diameter as a substrate-independent erosivity predictor. To consider different substrates specific erosivity parameters are needed. Heavier substrates like sand are best described by kinetic energy multiplied by diameter whereas lighter substrates like silt point to momentum divided by diameter to the power of 1.5. Furthermore, our results show that substrates are differently affected by the size and velocity of drops. While splash detachment of light substances can be reliably predicted by drop size and velocity for small and slow drops, drop size and velocity loses its predictive power in heavier substrates like sand.
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.eu46 citations 46 popularity Top 10% influence Top 10% impulse Top 10% 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=10.1016/j.jhydrol.2014.05.031&type=result"></script>'); --> </script>
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!
more_vert 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 . 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Depósito de Investigación Universidad de SevillaArticle . 2022License: CC BY NCData sources: idUS. Depósito de Investigación Universidad de SevillaThe University of Manchester - Institutional RepositoryArticle . 2022Data sources: The University of Manchester - Institutional RepositoryGöttingen Research Online PublicationsArticle . 2022Data sources: Göttingen Research Online PublicationsInstitutional Repository of Nature Research CentreArticle . 2022License: CC BYData sources: Institutional Repository of Nature Research CentrePublikationer från Stockholms universitetArticle . 2022 . Peer-reviewedData sources: Publikationer från Stockholms universitetPublikationer från Umeå universitetArticle . 2022 . 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Peer-reviewedData sources: Bergen Open Research Archive - UiBInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)University of Bristol: Bristol ResearchArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università degli Studi Roma TreArticle . 2022Data sources: Archivio della Ricerca - Università degli Studi Roma TreEcoEvoRxiv PreprintsPreprint . 2021Full-Text: https://ecoevorxiv.org/pksqw/downloadData sources: EcoEvoRxiv PreprintsGlobal Change BiologyReview . 2021Repositorio Institucional Universidad de GranadaArticle . 2022License: CC BY NCData sources: Repositorio Institucional Universidad de GranadaRepositorio Institucional de la Universidad de OviedoArticle . 2022License: CC BY NCData sources: Repositorio Institucional de la Universidad de OviedoGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyQatar University: QU Institutional RepositoryArticleData sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2022Data 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.eudescription Publicationkeyboard_double_arrow_right Report , Other literature type 2023Publisher:Zenodo Funded by:DFG | Machine Learning: New Per..., DFGDFG| Machine Learning: New Perspectives for Science ,DFGKebonye, Ndiye Michael; John, Kingsley; Delgado-Baquerizo, Manuel; Zhou, Yong; Agyeman, Prince Chapman; Seletlo, Zibanani; Heung, Brandon; Scholten, Thomas;Terrestrial plant and soil carbon stocks are critical for regulating climate change, enhancing soil fertility, and supporting biodiversity. While a global-scale decoupling between plant and soil carbon has been documented, the hotspots and interconnections between these two carbon compartments across Africa, the second-largest continent on the planet, have been significantly overlooked. Here, we have compiled over 10,000 existing soil organic carbon (SOC) observations to generate a high-resolution (250 m) map illustrating the distribution pattern of soil organic carbon in Africa. The SOC map is then used as an input to understand the soil and plant carbon interconnections of Africa's vast landscape under changing environmental conditions. Keywords: Africa | Landscapes | Soil Nitrogen | Soil Organic Carbon (SOC) | Spatial Scale | Above-ground Carbon | Below-ground Carbon Below are R codes and maps, either generated or used in the study.
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.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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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=10.5281/zenodo.10126383&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019 GermanyPublisher:Springer Science and Business Media LLC Funded by:DFG, DFG | The role of tree and shru...DFG ,DFG| The role of tree and shrub diversity for production, erosion control, element cycling, and species conservation in Chinese subtropical forest ecosystems (BEF-China)Philipp Goebes; Karsten Schmidt; Steffen Seitz; Sabine Both; Helge Bruelheide; Alexandra Erfmeier; Thomas Scholten; Peter Kühn;AbstractSoil properties and terrain attributes are of great interest to explain and model plant productivity and community assembly (hereafter P&CA). Many studies only sample surface soils, and may therefore miss important variation of deeper soil levels. We aimed to identify a critical soil depth in which the relationships between soil properties and P&CA were strongest due to an ideal interplay among soil properties and terrain attributes. On 27 plots in a subtropical Chinese forest varying in tree and herb layer species richness and tree productivity, 29 soil properties in six depth columns and four terrain attributes were analyzed. Soil properties varied with soil depth as did their interrelationships. Non-linearity of soil properties led to critical soil depths in which different P&CA characteristics were explained best (using coefficients of determination). The strongest relationship of soil properties and terrain attributes to most of P&CA characteristics (adj. R2~ 0.7) was encountered using a soil column of 0–16 cm. Thus, depending on the biological signal one is interested in, soil depth sampling has to be adapted. Considering P&CA in subtropical broad-leaved secondary forests, we recommend sampling one bulk sample of a column from 0 cm down to a critical soil depth of 16 cm.
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.euAccess RoutesGreen gold 41 citations 41 popularity Top 10% influence Top 10% impulse Top 10% 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=10.1038/s41598-019-45156-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2013 Switzerland, Spain, Netherlands, GermanyPublisher:Elsevier BV María Martínez-Mena; Miriam Marzen; Christian Geißler; M.T. Echeverría; Nikolaus J. Kuhn; José Arnáez; Wolfgang Fister; David Regüés; Juan F. Martínez-Murillo; Albert Solé-Benet; Stefan Wirtz; M.D. Mingorance; Artemi Cerdà; V. Butzen; F. J. León; José A. Gómez; Thomas Iserloh; Roberto Lázaro; Carolina Boix-Fayos; Thomas Scholten; R. Wengel; Johannes B. Ries; Helena Gómez-Macpherson; Piet Peters; L. Ortigosa; J. Fernández-Gálvez; Manuel Seeger; Manuel Seeger; José Damián Ruiz-Sinoga;handle: 10261/78860 , 10900/50809
28 páginas, 6 figuras, 2 tablas.- The definitive version is available on: http://www.sciencedirect.com/science/article/pii/S0341816213001252 [EN] Small-scale portable rainfall simulators are an essential research tool for investigating the process dynamics of soil erosion and surface hydrology. There is no standardisation of rainfall simulation and such rainfall simulators differ in design, rainfall intensities, rain spectra and research questions, which impede drawing a meaningful comparison between results. Nevertheless, these data become progressively important for soil erosion assessment and therefore, the basis for decision-makers in application-oriented erosion protection. The artificially generated rainfall of the simulators used at the Universities Basel, La Rioja, Malaga, Trier, Tübingen, Valencia, Wageningen, Zaragoza, and at different CSIC (Spanish Scientific Research Council) institutes (Almeria, Cordoba, Granada, Murcia and Zaragoza) was measured with the same methods (Laser Precipitation Monitor for drop spectra and rain collectors for spatial distribution). Data are very beneficial for improvements of simulators and comparison of simulators and results. Furthermore, they can be used for comparative studies, e.g. with measured natural rainfall spectra. A broad range of rainfall data was measured (e.g. intensity: 37–360 mm h− 1; Christiansen Coefficient for spatial rainfall distribution: 61–98%; median volumetric drop diameter: 0.375–6.5 mm; mean kinetic energy expenditure: 25–1322 J m− 2 h− 1; mean kinetic energy per unit area and unit depth of rainfall: 0.77–50 J m− 2 mm− 1). Similarities among the simulators could be found e.g. concerning drop size distributions (maximum drop numbers are reached within the smallest drop classes < 1 mm) and low fall velocities of bigger drops due to a general physical restriction. The comparison represents a good data-base for improvements and provides a consistent picture of the different parameters of the simulators that were tested. The research for this study was funded by the Deutsche Forschungsgemeinschaft (DFG) project number Ri-835/6-1. We would like to thank the anonymous reviewers for their remarks. Peer reviewed
CATENA arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2013 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEberhard Karls University Tübingen: Publication SystemArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2013Data 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=10.1016/j.catena.2013.05.013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 184 citations 184 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 64visibility views 64 download downloads 276 Powered bymore_vert CATENA arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2013 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEberhard Karls University Tübingen: Publication SystemArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2013Data 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=10.1016/j.catena.2013.05.013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2012 GermanyPublisher:Public Library of Science (PLoS) Peter Kuehn; Frank Baumann; Kuo Yang; Yonghui Wang; Hui Zeng; Shaopeng Wang; Yan Geng; Jin-Sheng He; Jin-Sheng He; Thomas Scholten;The Tibetan Plateau is an essential area to study the potential feedback effects of soils to climate change due to the rapid rise in its air temperature in the past several decades and the large amounts of soil organic carbon (SOC) stocks, particularly in the permafrost. Yet it is one of the most under-investigated regions in soil respiration (Rs) studies. Here, Rs rates were measured at 42 sites in alpine grasslands (including alpine steppes and meadows) along a transect across the Tibetan Plateau during the peak growing season of 2006 and 2007 in order to test whether: (1) belowground biomass (BGB) is most closely related to spatial variation in Rs due to high root biomass density, and (2) soil temperature significantly influences spatial pattern of Rs owing to metabolic limitation from the low temperature in cold, high-altitude ecosystems. The average daily mean Rs of the alpine grasslands at peak growing season was 3.92 µmol CO(2) m(-2) s(-1), ranging from 0.39 to 12.88 µmol CO(2) m(-2) s(-1), with average daily mean Rs of 2.01 and 5.49 µmol CO(2) m(-2) s(-1) for steppes and meadows, respectively. By regression tree analysis, BGB, aboveground biomass (AGB), SOC, soil moisture (SM), and vegetation type were selected out of 15 variables examined, as the factors influencing large-scale variation in Rs. With a structural equation modelling approach, we found only BGB and SM had direct effects on Rs, while other factors indirectly affecting Rs through BGB or SM. Most (80%) of the variation in Rs could be attributed to the difference in BGB among sites. BGB and SM together accounted for the majority (82%) of spatial patterns of Rs. Our results only support the first hypothesis, suggesting that models incorporating BGB and SM can improve Rs estimation at regional scale.
PLoS ONE arrow_drop_down Eberhard Karls University Tübingen: Publication SystemArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2012Data 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=10.1371/journal.pone.0034968&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 117 citations 117 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert PLoS ONE arrow_drop_down Eberhard Karls University Tübingen: Publication SystemArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2012Data 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=10.1371/journal.pone.0034968&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2015 GermanyPublisher:Public Library of Science (PLoS) Litong Chen; Dan F. B. Flynn; Xin Jing; Peter Kühn; Thomas Scholten; Jin‐Sheng He;Alors que les concentrations de CO2 continuent d'augmenter et de stimuler le changement climatique mondial, beaucoup d'efforts ont été déployés pour estimer les stocks et la dynamique du carbone (C) du sol au fil du temps. Cependant, les méthodes incohérentes employées par les chercheurs entravent la comparabilité de ces travaux, créant un besoin pressant de standardiser les méthodes de quantification du C organique du sol (COS) par les différentes méthodes. Ici, nous avons recueilli 712 échantillons de sol provenant de 36 sites de prairies alpines sur le plateau tibétain couvrant différentes profondeurs de sol, de végétation et de types de sol. Nous avons utilisé un analyseur élémentaire pour le C total du sol (STC) et un analyseur de carbone inorganique pour le C inorganique du sol (SIC), puis avons défini la différence entre le STC et le SIC comme SOCCNS. En outre, nous avons utilisé la méthode Walkley-Black (MWB) modifiée, ci-après SOCMWB. Nos résultats ont montré qu'il y avait une forte corrélation entre SOCCNS et SOCMWB dans l'ensemble des données, compte tenu de l'application d'un facteur de correction de 1.103. La profondeur du sol et le type de sol ont considérablement influencé la récupération, définie comme le rapport entre SOCMWB et SOCCNS, et la récupération était également étroitement associée à la teneur en carbonate du sol et à la valeur du pH. Les différences de récupération entre la prairie alpine et la steppe étaient en grande partie attribuables au pH du sol. En outre, statistiquement, une corrélation relativement forte entre SOCCNS et STC a également été trouvée, suggérant qu'il est possible d'estimer les stocks de SOCCNS à partir des données de STC dans les prairies tibétaines. Par conséquent, nos résultats suggèrent que, afin d'estimer avec précision les stocks absolus de COS et son changement dans les prairies alpines tibétaines, une correction adéquate des mesures WB modifiées est essentielle avec une prise en compte correcte des effets des types de sol, de la végétation, du pH du sol et de la profondeur du sol. A medida que las concentraciones de CO2 continúan aumentando e impulsan el cambio climático global, se ha realizado un gran esfuerzo para estimar las reservas y la dinámica del carbono (C) del suelo a lo largo del tiempo. Sin embargo, los métodos inconsistentes empleados por los investigadores obstaculizan la comparabilidad de dichos trabajos, creando una necesidad apremiante de estandarizar los métodos para la cuantificación del C orgánico del suelo (SOC) mediante los diversos métodos. Aquí, recolectamos 712 muestras de suelo de 36 sitios de pastizales alpinos en la meseta tibetana que cubren diferentes profundidades de suelo y vegetación y tipos de suelo. Utilizamos un analizador elemental para el C total del suelo (STC) y un analizador de carbono inorgánico para el C inorgánico del suelo (SIC), y luego definimos la diferencia entre STC y SIC como SOCCNS. Además, empleamos el método Walkley-Black modificado (MWB), en adelante SOCMWB. Nuestros resultados mostraron que había una fuerte correlación entre SOCCNS y SOCMWB en todo el conjunto de datos, dada la aplicación de un factor de corrección de 1.103. La profundidad del suelo y el tipo de suelo influyeron significativamente en la recuperación, definida como la relación de SOCMWB a SOCCNS, y la recuperación también estuvo estrechamente asociada con el contenido de carbonato del suelo y el valor del pH. Las diferencias de recuperación entre la pradera alpina y la estepa se debieron en gran medida al pH del suelo. Además, estadísticamente, también se encontró una correlación relativamente fuerte entre SOCCNS y STC, lo que sugiere que es factible estimar las poblaciones de SOCCNS a través de los datos de STC en los pastizales tibetanos. Por lo tanto, nuestros resultados sugieren que para estimar con precisión las existencias absolutas de COS y su cambio en los pastizales alpinos tibetanos, es esencial una corrección adecuada de las mediciones del BM modificado con la consideración correcta de los efectos de los tipos de suelo, la vegetación, el pH del suelo y la profundidad del suelo. As CO2 concentrations continue to rise and drive global climate change, much effort has been put into estimating soil carbon (C) stocks and dynamics over time. However, the inconsistent methods employed by researchers hamper the comparability of such works, creating a pressing need to standardize the methods for soil organic C (SOC) quantification by the various methods. Here, we collected 712 soil samples from 36 sites of alpine grasslands on the Tibetan Plateau covering different soil depths and vegetation and soil types. We used an elemental analyzer for soil total C (STC) and an inorganic carbon analyzer for soil inorganic C (SIC), and then defined the difference between STC and SIC as SOCCNS. In addition, we employed the modified Walkley-Black (MWB) method, hereafter SOCMWB. Our results showed that there was a strong correlation between SOCCNS and SOCMWB across the data set, given the application of a correction factor of 1.103. Soil depth and soil type significantly influenced on the recovery, defined as the ratio of SOCMWB to SOCCNS, and the recovery was closely associated with soil carbonate content and pH value as well. The differences of recovery between alpine meadow and steppe were largely driven by soil pH. In addition, statistically, a relatively strong correlation between SOCCNS and STC was also found, suggesting that it is feasible to estimate SOCCNS stocks through the STC data across the Tibetan grasslands. Therefore, our results suggest that in order to accurately estimate the absolute SOC stocks and its change in the Tibetan alpine grasslands, adequate correction of the modified WB measurements is essential with correct consideration of the effects of soil types, vegetation, soil pH and soil depth. مع استمرار ارتفاع تركيزات ثاني أكسيد الكربون ودفع تغير المناخ العالمي، تم بذل الكثير من الجهد في تقدير مخزونات وديناميكيات كربون التربة (C) بمرور الوقت. ومع ذلك، فإن الأساليب غير المتسقة التي يستخدمها الباحثون تعيق قابلية هذه الأعمال للمقارنة، مما يخلق حاجة ملحة لتوحيد طرق القياس الكمي لمخزون الكربون العضوي في التربة من خلال الطرق المختلفة. هنا، جمعنا 712 عينة تربة من 36 موقعًا من المراعي الجبلية على هضبة التبت تغطي أعماق التربة المختلفة وأنواع النباتات والتربة. استخدمنا محلل العناصر لمجموع التربة C (STC) ومحلل الكربون غير العضوي للتربة غير العضوية C (SIC)، ثم حددنا الفرق بين STC و SIC على أنه SOCCNS. بالإضافة إلى ذلك، استخدمنا طريقة Walkley - Black (MWB) المعدلة، المشار إليها فيما يلي بـ SOCMWB. أظهرت نتائجنا أن هناك علاقة قوية بين SOCCNS و SOCMWB عبر مجموعة البيانات، بالنظر إلى تطبيق عامل تصحيح قدره 1.103. أثر عمق التربة ونوع التربة بشكل كبير على الاسترداد، والذي تم تعريفه على أنه نسبة SOCMWB إلى SOCCNS، وكان الاسترداد مرتبطًا ارتباطًا وثيقًا بمحتوى كربونات التربة وقيمة الرقم الهيدروجيني أيضًا. كانت اختلافات التعافي بين مرج جبال الألب والسهوب مدفوعة إلى حد كبير بدرجة حموضة التربة. بالإضافة إلى ذلك، من الناحية الإحصائية، تم العثور أيضًا على علاقة قوية نسبيًا بين SOCCNS و STC، مما يشير إلى أنه من الممكن تقدير مخزونات SOCCNS من خلال بيانات STC عبر المراعي التبتية. لذلك، تشير نتائجنا إلى أنه من أجل التقدير الدقيق لمخزونات الكربون العضوي في التربة المطلقة وتغيرها في المراعي الجبلية التبتية، فإن التصحيح المناسب لقياسات البنك الدولي المعدلة أمر ضروري مع النظر بشكل صحيح في آثار أنواع التربة والغطاء النباتي ودرجة الحموضة في التربة وعمق التربة.
PLoS ONE arrow_drop_down Eberhard Karls University Tübingen: Publication SystemArticle . 2015Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2015Data 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=10.1371/journal.pone.0126372&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 24 citations 24 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert PLoS ONE arrow_drop_down Eberhard Karls University Tübingen: Publication SystemArticle . 2015Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2015Data 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.
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description Publicationkeyboard_double_arrow_right Article , Journal 2020Embargo end date: 01 Jan 2020 Australia, United Kingdom, France, Spain, United States, Czech Republic, Russian Federation, Italy, France, Germany, Russian Federation, France, Italy, Australia, Germany, Belgium, United Kingdom, Switzerland, Czech Republic, Italy, United KingdomPublisher:Wiley Publicly fundedFunded by:EC | FORMICA, RSF | The anatomical and physio..., DFG +13 projectsEC| FORMICA ,RSF| The anatomical and physiological response of Scots pine xylem formation to variable water availability ,DFG ,EC| ICOS ,DFG| German Centre for Integrative Biodiversity Research - iDiv ,ANR| ODYSSEE ,NSF| Collaborative Research: ABI Development: Symbiota2: Enabling greater collaboration and flexibility for mobilizing biodiversity data ,SNSF| How does forest microclimate affect biodiversity dynamics? ,EC| AfricanBioServices ,UKRI| E3 - Edinburgh Earth and Environment - Doctoral Training Partnership ,SNSF| Lif3web: The present and future spatial structure of tri-trophic networks ,ANR| IMPRINT ,RCN| Disentangling the impacts of herbivory and climate on ecological dynamics ,NSF| MSB-ECA: Phylogenetically-informed modeling of the regional context of community assembly ,UKRI| Climate as a driver of shrub expansion and tundra greening ,EC| SUPER-GHarald Pauli; Josef Urban; Josef Urban; Sonia Merinero; Pieter De Frenne; Josefine Walz; Bente J. Graae; Michael B. Ashcroft; Michael B. Ashcroft; Tim Seipel; Ian Klupar; Ilya M. D. Maclean; Juan J. Jiménez; Jonas Schmeddes; Lucia Hederová; James D. M. Speed; Amanda Ratier Backes; Christian Rossi; Christian Rossi; Christian Rossi; Alessandro Petraglia; Isla H. Myers-Smith; Adrian V. Rocha; Pallieter De Smedt; Ellen Dorrepaal; Martin Macek; Pieter Vangansbeke; Miska Luoto; Nicoletta Cannone; Luca Vitale; José Luis Benito Alonso; Josef Brůna; Jan Wild; Marko Smiljanic; Edmund W. Basham; Eduardo Fuentes-Lillo; Eduardo Fuentes-Lillo; C. Johan Dahlberg; Sergiy Medinets; Keith W. Larson; Ann Milbau; Pekka Niittynen; Koenraad Van Meerbeek; Juha Aalto; Juha Aalto; Loïc Pellissier; Meelis Pärtel; Tudor-Mihai Ursu; Rafael A. García; Rafael A. García; Lore T. Verryckt; Laurenz M. Teuber; Kristoffer Hylander; Shengwei Zong; Shyam S. Phartyal; Shyam S. Phartyal; Agustina Barros; Valeria Aschero; Valeria Aschero; Rebecca A. Senior; Michael Stemkovski; Jonas J. Lembrechts; Joseph Okello; Joseph Okello; Jan Altman; Romina D. Dimarco; Julia Kemppinen; Pavel Dan Turtureanu; Dany Ghosn; Lukas Siebicke; Andrew D. Thomas; Zuzana Sitková; Sonja Wipf; Olivier Roupsard; Sanne Govaert; Robert G. Björk; Christian D. Larson; Fatih Fazlioglu; M. Rosa Fernández Calzado; Jörg G. Stephan; Jiri Dolezal; Jiri Dolezal; Michele Carbognani; Aud H. Halbritter; Mihai Pușcaș; David H. Klinges; Juergen Kreyling; Mats P. Björkman; Florian Zellweger; Esther R. Frei; Marijn Bauters; Camille Pitteloud; Jozef Kollár; Gergana N. Daskalova; Miguel Portillo-Estrada; Robert Kanka; Ana Clara Mazzolari; William D. Pearse; William D. Pearse; Elizabeth G. Simpson; Martin Svátek; Stuart W. Smith; Stuart W. Smith; Martin A. Nuñez; Jhonatan Sallo Bravo; Onur Candan; Mana Gharun; Austin Koontz; Simone Cesarz; T'Ai Gladys Whittingham Forte; George Kazakis; Joseph J. Bailey; Zhaochen Zhang; Nico Eisenhauer; Volodymyr I. Medinets; Jonathan Lenoir; Juan Lorite; Radim Matula; Lena Muffler; Lena Muffler; Aníbal Pauchard; Aníbal Pauchard; Pascal Boeckx; Maaike Y. Bader; Robert Weigel; Marek Čiliak; Kamil Láska; Brett R. Scheffers; Camille Meeussen; Benjamin Blonder; Benjamin Blonder; Felix Gottschall; Ronja E. M. Wedegärtner; Francesco Malfasi; Jonas Ardö; Roman Plichta; Pascal Vittoz; Mario Trouillier; Julia Boike; Peter Barančok; Christian Rixen; Lisa J. Rew; Andrej Varlagin; Valter Di Cecco; Ivan Nijs; Jan Dick; Charly Geron; Charly Geron; Bernard Heinesch; Patrice Descombes; Mauro Guglielmin; Angela Stanisci; Filip Hrbáček; Martin Wilmking; Jian Zhang; Krystal Randall; Katja Tielbörger; Peter Haase; Peter Haase; Alistair S. Jump; Rafaella Canessa; Masahito Ueyama; Matěj Man; František Máliš; Marcello Tomaselli; Stef Haesen; Salvatore R. Curasi; Sylvia Haider; Andrea Lamprecht; Miguel Ángel de Pablo; Haydn J.D. Thomas; Nina Buchmann; Manuela Winkler; Klaus Steinbauer; Toke T. Høye; Fernando Moyano; Miroslav Svoboda; Christopher Andrews; Martin Kopecký; Martin Kopecký; Rebecca Finger Higgens; Hans J. De Boeck; Jürgen Homeier; Juha M. Alatalo; Ben Somers; Khatuna Gigauri; Andrej Palaj; Thomas Scholten; Mia Vedel Sørensen; Edoardo Cremonese; Liesbeth van den Brink;pmid: 32311220
handle: 20.500.14243/370921 , 1854/LU-8681704 , 11381/2880120 , 1893/31042 , 10900/106894
pmid: 32311220
handle: 20.500.14243/370921 , 1854/LU-8681704 , 11381/2880120 , 1893/31042 , 10900/106894
AbstractCurrent analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long‐term average thermal conditions at coarse spatial resolutions only. Hence, many climate‐forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold‐air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free‐air temperatures, microclimatic ground and near‐surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near‐surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.
NERC Open Research A... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03003135Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2020Full-Text: https://hdl.handle.net/11381/2880120Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/41n2d8c6Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTARepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGlobal Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2020Data sources: Universitätsbibliographie, Universität Duisburg-EssenSiberian Federal University: Archiv Elektronnych SFUArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Wollongong, Australia: Research OnlineArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2020Data 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=10.1111/gcb.15123&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 148 citations 148 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down CIRAD: HAL (Agricultural Research for Development)Article . 2020Full-Text: https://hal.science/hal-03003135Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2020Full-Text: https://hdl.handle.net/11381/2880120Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/41n2d8c6Data sources: Bielefeld Academic Search Engine (BASE)Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Institut National de la Recherche Agronomique: ProdINRAArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2020Data sources: Recolector de Ciencia Abierta, RECOLECTARepository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesGlobal Change BiologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyUniversitätsbibliographie, Universität Duisburg-EssenArticle . 2020Data sources: Universitätsbibliographie, Universität Duisburg-EssenSiberian Federal University: Archiv Elektronnych SFUArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Wollongong, Australia: Research OnlineArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)University of Stirling: Stirling Digital Research RepositoryArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2020Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2020Data 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018Embargo end date: 05 Oct 2018 Germany, Switzerland, Spain, United Kingdom, Spain, Germany, GermanyPublisher:American Association for the Advancement of Science (AAAS) Funded by:DFG, EC | IDP BRIDGESDFG ,EC| IDP BRIDGESRen Yong Hu; Naili Zhang; Minjia Tan; Andy Hector; Helge Bruelheide; Bo Yang; Shan Li; Mingjian Yu; Dali Guo; Matteo Brezzi; Zhengwen Wang; Werner Härdtle; Xiaojuan Liu; Xiaojuan Liu; Thorsten Assmann; Stefan G. Michalski; Xuefei Yang; Xuefei Yang; Goddert von Oheimb; Xin Yu; Lydia Hönig; Peter Kühn; Bing Yang Ding; Martin Baruffol; Martin Baruffol; Yuanyuan Huang; Yu Liang; Andreas Schuldt; Douglas Chesters; Sabine Both; Anne C. Lang; Bernhard Schmid; Keping Ma; Ying Li; Stefan Trogisch; Stefan Trogisch; Chao-Dong Zhu; Nadia Castro-Izaguirre; Caiyun He; Walter Durka; Michael Scherer-Lorenzen; Li Zhu; Xiao-Yong Chen; Yuxin Chen; Alexandra Erfmeier; Shouren Zhang; Liang-Dong Guo; Karsten Schmidt; Xuezheng Shi; Jingyun Fang; Jintang He; Kequan Pei; Pascal A. Niklaus; David Eichenberg; David Eichenberg; Christian Wirth; Alexandra-Maria Klein; Jessica L. M. Gutknecht; François Buscot; Hong-Zhang Zhou; Jiayong Zhang; Wenhua Xiang; Thorsten Behrens; Tesfaye Wubet; Jürgen Bauhus; Erik Welk; Thomas Scholten; Markus Fischer; Zhiyao Tang;pmid: 30287660
handle: 20.500.11761/35016 , 10900/86736
Tree diversity improves forest productivity Experimental studies in grasslands have shown that the loss of species has negative consequences for ecosystem functioning. Is the same true for forests? Huang et al. report the first results from a large biodiversity experiment in a subtropical forest in China. The study combines many replicates, realistic tree densities, and large plot sizes with a wide range of species richness levels. After 8 years of the experiment, the findings suggest strong positive effects of tree diversity on forest productivity and carbon accumulation. Thus, changing from monocultures to more mixed forests could benefit both restoration of biodiversity and mitigation of climate change. Science , this issue p. 80
Science arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2023Zurich Open Repository and ArchiveArticle . 2018 . Peer-reviewedData sources: Zurich Open Repository and ArchiveEberhard Karls University Tübingen: Publication SystemArticle . 2018Data 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 527 citations 527 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert Science arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2023Zurich Open Repository and ArchiveArticle . 2018 . Peer-reviewedData sources: Zurich Open Repository and ArchiveEberhard Karls University Tübingen: Publication SystemArticle . 2018Data 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=10.1126/science.aat6405&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2014 NetherlandsPublisher:Elsevier BV Karin Nadrowski; Piet Peters; Christian Geißler; Tamás Lassu; Tamás Lassu; Philipp Goebes; Steffen Seitz; Thomas Scholten; Manuel Seeger;Rainfall erosivity is a key component in soil erosion by water. While kinetic energy and momentum are used to describe the erosivity of rainfall, and both are derived from mass and velocity of raindrops, it is not clear how different substrates transform this energy. In our study we conducted rainfall simulation experiments to determine splash detachment amounts of five substrates (coarse sand, medium sand, fine sand, PE balls, silt) for seven different rainfall intensities (52-116mmh -1 ). We used linear mixed-effect modeling (LME) to calculate erosivity predictors for each substrate. Additionally, we separated drop-size-velocity relationship into lower left and upper right quarter to investigate the effect of small and slow just as big and fast raindrops on splash detachment amounts.We suggest using momentum divided by drop diameter as a substrate-independent erosivity predictor. To consider different substrates specific erosivity parameters are needed. Heavier substrates like sand are best described by kinetic energy multiplied by diameter whereas lighter substrates like silt point to momentum divided by diameter to the power of 1.5. Furthermore, our results show that substrates are differently affected by the size and velocity of drops. While splash detachment of light substances can be reliably predicted by drop size and velocity for small and slow drops, drop size and velocity loses its predictive power in heavier substrates like sand.
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.eu46 citations 46 popularity Top 10% influence Top 10% impulse Top 10% 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=10.1016/j.jhydrol.2014.05.031&type=result"></script>'); --> </script>
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 . 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Peer-reviewedData sources: Bergen Open Research Archive - UiBInstitut National de la Recherche Agronomique: ProdINRAArticle . 2022License: CC BY NCData sources: Bielefeld Academic Search Engine (BASE)University of Bristol: Bristol ResearchArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archivio della Ricerca - Università degli Studi Roma TreArticle . 2022Data sources: Archivio della Ricerca - Università degli Studi Roma TreEcoEvoRxiv PreprintsPreprint . 2021Full-Text: https://ecoevorxiv.org/pksqw/downloadData sources: EcoEvoRxiv PreprintsGlobal Change BiologyReview . 2021Repositorio Institucional Universidad de GranadaArticle . 2022License: CC BY NCData sources: Repositorio Institucional Universidad de GranadaRepositorio Institucional de la Universidad de OviedoArticle . 2022License: CC BY NCData sources: Repositorio Institucional de la Universidad de OviedoGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic BibliographyQatar University: QU Institutional RepositoryArticleData sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Archivio della ricerca dell'Università di Parma (CINECA IRIS)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2022Data 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=10.1111/gcb.16060&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu188 citations 188 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!
more_vert 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 . 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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report , Other literature type 2023Publisher:Zenodo Funded by:DFG | Machine Learning: New Per..., DFGDFG| Machine Learning: New Perspectives for Science ,DFGKebonye, Ndiye Michael; John, Kingsley; Delgado-Baquerizo, Manuel; Zhou, Yong; Agyeman, Prince Chapman; Seletlo, Zibanani; Heung, Brandon; Scholten, Thomas;Terrestrial plant and soil carbon stocks are critical for regulating climate change, enhancing soil fertility, and supporting biodiversity. While a global-scale decoupling between plant and soil carbon has been documented, the hotspots and interconnections between these two carbon compartments across Africa, the second-largest continent on the planet, have been significantly overlooked. Here, we have compiled over 10,000 existing soil organic carbon (SOC) observations to generate a high-resolution (250 m) map illustrating the distribution pattern of soil organic carbon in Africa. The SOC map is then used as an input to understand the soil and plant carbon interconnections of Africa's vast landscape under changing environmental conditions. Keywords: Africa | Landscapes | Soil Nitrogen | Soil Organic Carbon (SOC) | Spatial Scale | Above-ground Carbon | Below-ground Carbon Below are R codes and maps, either generated or used in the study.
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=10.5281/zenodo.10126383&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 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=10.5281/zenodo.10126383&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2019 GermanyPublisher:Springer Science and Business Media LLC Funded by:DFG, DFG | The role of tree and shru...DFG ,DFG| The role of tree and shrub diversity for production, erosion control, element cycling, and species conservation in Chinese subtropical forest ecosystems (BEF-China)Philipp Goebes; Karsten Schmidt; Steffen Seitz; Sabine Both; Helge Bruelheide; Alexandra Erfmeier; Thomas Scholten; Peter Kühn;AbstractSoil properties and terrain attributes are of great interest to explain and model plant productivity and community assembly (hereafter P&CA). Many studies only sample surface soils, and may therefore miss important variation of deeper soil levels. We aimed to identify a critical soil depth in which the relationships between soil properties and P&CA were strongest due to an ideal interplay among soil properties and terrain attributes. On 27 plots in a subtropical Chinese forest varying in tree and herb layer species richness and tree productivity, 29 soil properties in six depth columns and four terrain attributes were analyzed. Soil properties varied with soil depth as did their interrelationships. Non-linearity of soil properties led to critical soil depths in which different P&CA characteristics were explained best (using coefficients of determination). The strongest relationship of soil properties and terrain attributes to most of P&CA characteristics (adj. R2~ 0.7) was encountered using a soil column of 0–16 cm. Thus, depending on the biological signal one is interested in, soil depth sampling has to be adapted. Considering P&CA in subtropical broad-leaved secondary forests, we recommend sampling one bulk sample of a column from 0 cm down to a critical soil depth of 16 cm.
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/s41598-019-45156-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 41 citations 41 popularity Top 10% influence Top 10% impulse Top 10% 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=10.1038/s41598-019-45156-5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2013 Switzerland, Spain, Netherlands, GermanyPublisher:Elsevier BV María Martínez-Mena; Miriam Marzen; Christian Geißler; M.T. Echeverría; Nikolaus J. Kuhn; José Arnáez; Wolfgang Fister; David Regüés; Juan F. Martínez-Murillo; Albert Solé-Benet; Stefan Wirtz; M.D. Mingorance; Artemi Cerdà; V. Butzen; F. J. León; José A. Gómez; Thomas Iserloh; Roberto Lázaro; Carolina Boix-Fayos; Thomas Scholten; R. Wengel; Johannes B. Ries; Helena Gómez-Macpherson; Piet Peters; L. Ortigosa; J. Fernández-Gálvez; Manuel Seeger; Manuel Seeger; José Damián Ruiz-Sinoga;handle: 10261/78860 , 10900/50809
28 páginas, 6 figuras, 2 tablas.- The definitive version is available on: http://www.sciencedirect.com/science/article/pii/S0341816213001252 [EN] Small-scale portable rainfall simulators are an essential research tool for investigating the process dynamics of soil erosion and surface hydrology. There is no standardisation of rainfall simulation and such rainfall simulators differ in design, rainfall intensities, rain spectra and research questions, which impede drawing a meaningful comparison between results. Nevertheless, these data become progressively important for soil erosion assessment and therefore, the basis for decision-makers in application-oriented erosion protection. The artificially generated rainfall of the simulators used at the Universities Basel, La Rioja, Malaga, Trier, Tübingen, Valencia, Wageningen, Zaragoza, and at different CSIC (Spanish Scientific Research Council) institutes (Almeria, Cordoba, Granada, Murcia and Zaragoza) was measured with the same methods (Laser Precipitation Monitor for drop spectra and rain collectors for spatial distribution). Data are very beneficial for improvements of simulators and comparison of simulators and results. Furthermore, they can be used for comparative studies, e.g. with measured natural rainfall spectra. A broad range of rainfall data was measured (e.g. intensity: 37–360 mm h− 1; Christiansen Coefficient for spatial rainfall distribution: 61–98%; median volumetric drop diameter: 0.375–6.5 mm; mean kinetic energy expenditure: 25–1322 J m− 2 h− 1; mean kinetic energy per unit area and unit depth of rainfall: 0.77–50 J m− 2 mm− 1). Similarities among the simulators could be found e.g. concerning drop size distributions (maximum drop numbers are reached within the smallest drop classes < 1 mm) and low fall velocities of bigger drops due to a general physical restriction. The comparison represents a good data-base for improvements and provides a consistent picture of the different parameters of the simulators that were tested. The research for this study was funded by the Deutsche Forschungsgemeinschaft (DFG) project number Ri-835/6-1. We would like to thank the anonymous reviewers for their remarks. Peer reviewed
CATENA arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2013 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEberhard Karls University Tübingen: Publication SystemArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2013Data 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 184 citations 184 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 64visibility views 64 download downloads 276 Powered bymore_vert CATENA arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2013 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAEberhard Karls University Tübingen: Publication SystemArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2013Data 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=10.1016/j.catena.2013.05.013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2012 GermanyPublisher:Public Library of Science (PLoS) Peter Kuehn; Frank Baumann; Kuo Yang; Yonghui Wang; Hui Zeng; Shaopeng Wang; Yan Geng; Jin-Sheng He; Jin-Sheng He; Thomas Scholten;The Tibetan Plateau is an essential area to study the potential feedback effects of soils to climate change due to the rapid rise in its air temperature in the past several decades and the large amounts of soil organic carbon (SOC) stocks, particularly in the permafrost. Yet it is one of the most under-investigated regions in soil respiration (Rs) studies. Here, Rs rates were measured at 42 sites in alpine grasslands (including alpine steppes and meadows) along a transect across the Tibetan Plateau during the peak growing season of 2006 and 2007 in order to test whether: (1) belowground biomass (BGB) is most closely related to spatial variation in Rs due to high root biomass density, and (2) soil temperature significantly influences spatial pattern of Rs owing to metabolic limitation from the low temperature in cold, high-altitude ecosystems. The average daily mean Rs of the alpine grasslands at peak growing season was 3.92 µmol CO(2) m(-2) s(-1), ranging from 0.39 to 12.88 µmol CO(2) m(-2) s(-1), with average daily mean Rs of 2.01 and 5.49 µmol CO(2) m(-2) s(-1) for steppes and meadows, respectively. By regression tree analysis, BGB, aboveground biomass (AGB), SOC, soil moisture (SM), and vegetation type were selected out of 15 variables examined, as the factors influencing large-scale variation in Rs. With a structural equation modelling approach, we found only BGB and SM had direct effects on Rs, while other factors indirectly affecting Rs through BGB or SM. Most (80%) of the variation in Rs could be attributed to the difference in BGB among sites. BGB and SM together accounted for the majority (82%) of spatial patterns of Rs. Our results only support the first hypothesis, suggesting that models incorporating BGB and SM can improve Rs estimation at regional scale.
PLoS ONE arrow_drop_down Eberhard Karls University Tübingen: Publication SystemArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2012Data 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=10.1371/journal.pone.0034968&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 117 citations 117 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert PLoS ONE arrow_drop_down Eberhard Karls University Tübingen: Publication SystemArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2012Data 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=10.1371/journal.pone.0034968&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2015 GermanyPublisher:Public Library of Science (PLoS) Litong Chen; Dan F. B. Flynn; Xin Jing; Peter Kühn; Thomas Scholten; Jin‐Sheng He;Alors que les concentrations de CO2 continuent d'augmenter et de stimuler le changement climatique mondial, beaucoup d'efforts ont été déployés pour estimer les stocks et la dynamique du carbone (C) du sol au fil du temps. Cependant, les méthodes incohérentes employées par les chercheurs entravent la comparabilité de ces travaux, créant un besoin pressant de standardiser les méthodes de quantification du C organique du sol (COS) par les différentes méthodes. Ici, nous avons recueilli 712 échantillons de sol provenant de 36 sites de prairies alpines sur le plateau tibétain couvrant différentes profondeurs de sol, de végétation et de types de sol. Nous avons utilisé un analyseur élémentaire pour le C total du sol (STC) et un analyseur de carbone inorganique pour le C inorganique du sol (SIC), puis avons défini la différence entre le STC et le SIC comme SOCCNS. En outre, nous avons utilisé la méthode Walkley-Black (MWB) modifiée, ci-après SOCMWB. Nos résultats ont montré qu'il y avait une forte corrélation entre SOCCNS et SOCMWB dans l'ensemble des données, compte tenu de l'application d'un facteur de correction de 1.103. La profondeur du sol et le type de sol ont considérablement influencé la récupération, définie comme le rapport entre SOCMWB et SOCCNS, et la récupération était également étroitement associée à la teneur en carbonate du sol et à la valeur du pH. Les différences de récupération entre la prairie alpine et la steppe étaient en grande partie attribuables au pH du sol. En outre, statistiquement, une corrélation relativement forte entre SOCCNS et STC a également été trouvée, suggérant qu'il est possible d'estimer les stocks de SOCCNS à partir des données de STC dans les prairies tibétaines. Par conséquent, nos résultats suggèrent que, afin d'estimer avec précision les stocks absolus de COS et son changement dans les prairies alpines tibétaines, une correction adéquate des mesures WB modifiées est essentielle avec une prise en compte correcte des effets des types de sol, de la végétation, du pH du sol et de la profondeur du sol. A medida que las concentraciones de CO2 continúan aumentando e impulsan el cambio climático global, se ha realizado un gran esfuerzo para estimar las reservas y la dinámica del carbono (C) del suelo a lo largo del tiempo. Sin embargo, los métodos inconsistentes empleados por los investigadores obstaculizan la comparabilidad de dichos trabajos, creando una necesidad apremiante de estandarizar los métodos para la cuantificación del C orgánico del suelo (SOC) mediante los diversos métodos. Aquí, recolectamos 712 muestras de suelo de 36 sitios de pastizales alpinos en la meseta tibetana que cubren diferentes profundidades de suelo y vegetación y tipos de suelo. Utilizamos un analizador elemental para el C total del suelo (STC) y un analizador de carbono inorgánico para el C inorgánico del suelo (SIC), y luego definimos la diferencia entre STC y SIC como SOCCNS. Además, empleamos el método Walkley-Black modificado (MWB), en adelante SOCMWB. Nuestros resultados mostraron que había una fuerte correlación entre SOCCNS y SOCMWB en todo el conjunto de datos, dada la aplicación de un factor de corrección de 1.103. La profundidad del suelo y el tipo de suelo influyeron significativamente en la recuperación, definida como la relación de SOCMWB a SOCCNS, y la recuperación también estuvo estrechamente asociada con el contenido de carbonato del suelo y el valor del pH. Las diferencias de recuperación entre la pradera alpina y la estepa se debieron en gran medida al pH del suelo. Además, estadísticamente, también se encontró una correlación relativamente fuerte entre SOCCNS y STC, lo que sugiere que es factible estimar las poblaciones de SOCCNS a través de los datos de STC en los pastizales tibetanos. Por lo tanto, nuestros resultados sugieren que para estimar con precisión las existencias absolutas de COS y su cambio en los pastizales alpinos tibetanos, es esencial una corrección adecuada de las mediciones del BM modificado con la consideración correcta de los efectos de los tipos de suelo, la vegetación, el pH del suelo y la profundidad del suelo. As CO2 concentrations continue to rise and drive global climate change, much effort has been put into estimating soil carbon (C) stocks and dynamics over time. However, the inconsistent methods employed by researchers hamper the comparability of such works, creating a pressing need to standardize the methods for soil organic C (SOC) quantification by the various methods. Here, we collected 712 soil samples from 36 sites of alpine grasslands on the Tibetan Plateau covering different soil depths and vegetation and soil types. We used an elemental analyzer for soil total C (STC) and an inorganic carbon analyzer for soil inorganic C (SIC), and then defined the difference between STC and SIC as SOCCNS. In addition, we employed the modified Walkley-Black (MWB) method, hereafter SOCMWB. Our results showed that there was a strong correlation between SOCCNS and SOCMWB across the data set, given the application of a correction factor of 1.103. Soil depth and soil type significantly influenced on the recovery, defined as the ratio of SOCMWB to SOCCNS, and the recovery was closely associated with soil carbonate content and pH value as well. The differences of recovery between alpine meadow and steppe were largely driven by soil pH. In addition, statistically, a relatively strong correlation between SOCCNS and STC was also found, suggesting that it is feasible to estimate SOCCNS stocks through the STC data across the Tibetan grasslands. Therefore, our results suggest that in order to accurately estimate the absolute SOC stocks and its change in the Tibetan alpine grasslands, adequate correction of the modified WB measurements is essential with correct consideration of the effects of soil types, vegetation, soil pH and soil depth. مع استمرار ارتفاع تركيزات ثاني أكسيد الكربون ودفع تغير المناخ العالمي، تم بذل الكثير من الجهد في تقدير مخزونات وديناميكيات كربون التربة (C) بمرور الوقت. ومع ذلك، فإن الأساليب غير المتسقة التي يستخدمها الباحثون تعيق قابلية هذه الأعمال للمقارنة، مما يخلق حاجة ملحة لتوحيد طرق القياس الكمي لمخزون الكربون العضوي في التربة من خلال الطرق المختلفة. هنا، جمعنا 712 عينة تربة من 36 موقعًا من المراعي الجبلية على هضبة التبت تغطي أعماق التربة المختلفة وأنواع النباتات والتربة. استخدمنا محلل العناصر لمجموع التربة C (STC) ومحلل الكربون غير العضوي للتربة غير العضوية C (SIC)، ثم حددنا الفرق بين STC و SIC على أنه SOCCNS. بالإضافة إلى ذلك، استخدمنا طريقة Walkley - Black (MWB) المعدلة، المشار إليها فيما يلي بـ SOCMWB. أظهرت نتائجنا أن هناك علاقة قوية بين SOCCNS و SOCMWB عبر مجموعة البيانات، بالنظر إلى تطبيق عامل تصحيح قدره 1.103. أثر عمق التربة ونوع التربة بشكل كبير على الاسترداد، والذي تم تعريفه على أنه نسبة SOCMWB إلى SOCCNS، وكان الاسترداد مرتبطًا ارتباطًا وثيقًا بمحتوى كربونات التربة وقيمة الرقم الهيدروجيني أيضًا. كانت اختلافات التعافي بين مرج جبال الألب والسهوب مدفوعة إلى حد كبير بدرجة حموضة التربة. بالإضافة إلى ذلك، من الناحية الإحصائية، تم العثور أيضًا على علاقة قوية نسبيًا بين SOCCNS و STC، مما يشير إلى أنه من الممكن تقدير مخزونات SOCCNS من خلال بيانات STC عبر المراعي التبتية. لذلك، تشير نتائجنا إلى أنه من أجل التقدير الدقيق لمخزونات الكربون العضوي في التربة المطلقة وتغيرها في المراعي الجبلية التبتية، فإن التصحيح المناسب لقياسات البنك الدولي المعدلة أمر ضروري مع النظر بشكل صحيح في آثار أنواع التربة والغطاء النباتي ودرجة الحموضة في التربة وعمق التربة.
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more_vert PLoS ONE arrow_drop_down Eberhard Karls University Tübingen: Publication SystemArticle . 2015Data sources: Bielefeld Academic Search Engine (BASE)Eberhard Karls University Tübingen: Publication SystemArticle . 2015Data 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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