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description Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Belgium, Qatar, Finland, Belgium, Qatar, NetherlandsPublisher:California Digital Library (CDL) Funded by:EC | INTERACT, EC | CHARTER, UKRI | Climate as a driver of sh... +2 projectsEC| INTERACT ,EC| CHARTER ,UKRI| Climate as a driver of shrub expansion and tundra greening ,AKA| RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS IN IN NORTHWEST EURASIA (RISES) ,NSERCMariana García Criado; Isla H. Myers-Smith; Anne D. Bjorkman; Signe Normand; Anne Blach-Overgaard; Haydn J. D. Thomas; Anu Eskelinen; Konsta Happonen; Juha M. Alatalo; Alba Anadon-Rosell; Isabelle Aubin; Mariska te Beest; Katlyn R. Betway-May; Daan Blok; Allan Buras; Bruno E. L. Cerabolini; Katherine Christie; J. Hans C. Cornelissen; Bruce C. Forbes; Esther R. Frei; Paul Grogan; Luise Hermanutz; Robert D. Hollister; James Hudson; Maitane Iturrate-Garcia; Elina Kaarlejärvi; Michael Kleyer; Laurent J. Lamarque; Jonas J. Lembrechts; Esther Lévesque; Miska Luoto; Petr Macek; Jeremy L. May; Janet S. Prevéy; Gabriela Schaepman-Strub; Serge N. Sheremetiev; Laura Siegwart Collier; Nadejda A. Soudzilovskaia; Andrew Trant; Susanna E. Venn; Anna-Maria Virkkala;pmid: 37380662
pmc: PMC10307830
Climate change is leading to a species redistributions. In the tundra biome, many shrub species are expanding into new areas, a process known as shrubification. However, not all tundra shrub species will benefit from warming. Winner and loser species (those projected to expand and contract their ranges, and/or those that have increased or decreased in cover over time), and the characteristics that may determine success or failure, have not been fully identified. Here, we investigate whether current range sizes are related to plant trait values and intraspecific trait variation by combining 17,921 trait records and distribution data from 62 shrub species across three continents (>30 degrees north). In addition, we determine which traits are associated with species projected by species distribution models to expand or contract their ranges under climate change, and species that have undergone past cover changes over time. Winner and loser shrub species identified from projected range shifts generally differed from those identified from observed past cover change. We found that greater variation in seed mass and specific leaf area were related to larger projected range shifts. Projected winner species generally had greater seed mass values than ‘no change’ and loser species. However, contrary to our expectations, traits’ values and variation were not consistently related to current and projected ranges, and depended upon the future climate scenarios considered in range projections. There were no clear relationships either between cover change over time and trait values or variation. Overall, our findings indicate that abundance changes and projected range shifts will not lead to directional modifications in shrub trait composition or variation with future warming, since winner and loser species share relatively similar trait spaces based on commonly measured traits. Future research could investigate other morpho-physiological traits underpinning climatic preferences, which might better predict future range and abundance changes.
Nature Communication... arrow_drop_down Nature CommunicationsArticle . 2023HELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiQatar University Institutional RepositoryArticle . 2023Data sources: Qatar University Institutional RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2023Data sources: Institutional Repository Universiteit AntwerpenQatar University: QU Institutional RepositoryArticleData 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.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nature Communication... arrow_drop_down Nature CommunicationsArticle . 2023HELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiQatar University Institutional RepositoryArticle . 2023Data sources: Qatar University Institutional RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2023Data sources: Institutional Repository Universiteit AntwerpenQatar University: QU Institutional RepositoryArticleData 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 2020Publisher:Informa UK Limited Authors: Qian Gu; Paul Grogan;Climate change in arctic tundra is projected to affect air temperature, snow depth, soil fertility, and caribou herbivory, which may alter plant community composition by shifting niche space to favor particular species’ life history strategies. We report responses of a Canadian mesic birch hummock tundra plant community to a range of manipulative experiments (greenhouse warming, fertilization, snow fence, and caribou exclosure treatments). Aboveground biomass of each plant species was measured in the same permanent 1 m2 areas using the point frame method in 2005, 2011, and 2017. Although the greenhouse treatment had few effects on individual species, total vascular plant community biomass was enhanced between 2011 and 2017. Furthermore, species’ biomass across all control plots was stable from 2005 to 2011 but increased significantly from 2011 to 2017, with air temperatures also warmer over that same period. Species responded to high-level nitrogen and high-level nitrogen and phosphorus combined additions, with deciduous shrubs and graminoids increasing and evergreen shrubs decreasing. The snow fences and caribou exclosures had little effect on species biomass. Although vegetation greening trends have been reported in arctic environments that are primarily influenced by maritime climate, our study is one of the first to provide plot-based evidence of recent plant biomass increases in the low Arctic’s continental interior.
Arctic, Antarctic, a... arrow_drop_down Arctic, Antarctic, and Alpine ResearchArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Arctic, Antarctic, a... arrow_drop_down Arctic, Antarctic, and Alpine ResearchArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Berner, Logan T.; Orndahl, Kathleen M.; Rose, Melissa; Tamstorf, Mikkel; Arndal, Marie F.; Alexander, Heather D.; Yang, Dedi; Sistla, Seeta; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Happonen, Konsta; Mikola, Juha; Mack, Michelle C.; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Pold, Grace; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Morneault, Amélie; Gauthier, Gilles; Gignac, Charles; Boudreau, Stéphane; Gaspard, Anna; Kholodov, Alexander; Bret-Harte, M. Syndonia; Greaves, Heather E.; Walker, Donald; Ylänne, Henni; Gregory, Fiona M.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Luoto, Miska; Virtanen, Tarmo; Forbes, Bruce C.; Baillargeon, Natalie; Hölzel, Norbert; Epstein, Howard; Heim, Ramona J.; Bunn, Andrew; Holmes, Robert M.; Hung, Jacqueline K.Y.; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2qj78081
Plant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic Plant Aboveground Biomass Synthesis Dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass grams per meter squared (g/m^2) on 2327 sample plots in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert 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=10.18739/a2qj78081&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Berner, Logan T.; Orndahl, Kathleen M.; Rose, Melissa; Tamstorf, Mikkel; Arndal, Marie F.; Yang, Dedi; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Happonen, Konsta; Mikola, Juha; Mack, Michelle C.; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Morneault, Amélie; Gauthier, Gilles; Gignac, Charles; Boudreau, Stéphane; Gaspard, Anna; Kholodov, Alexander; Bret-Harte, M. Syndonia; Greaves, Heather E.; Walker, Donald; Gregory, Fiona M.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Ylänne, Henni; Luoto, Miska; Virtanen, Tarmo; Forbes, Bruce C.; Hölzel, Norbert; Epstein, Howard; Heim, Ramona J.; Bunn, Andrew; Holmes, Robert M.; Hung, Jacqueline K.Y.; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2k931783
Plant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic Plant Aboveground Biomass Synthesis Dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass grams per meter squared (g/m^2) on 2327 sample plots in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
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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.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert 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=10.18739/a2k931783&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Informa UK Limited Funded by:NSERCNSERCAuthors: Michelle M. McKnight; Paul Grogan; Virginia K. Walker;Recent climate warming in the Arctic is enhancing microbial decomposition of soil organic matter, which may result in globally significant greenhouse gas releases to the atmosphere. To better predict future impacts, bacterial and fungal community structures in both the bulk soil and the rhizosphere of Arctic birch, Betula glandulosa, were determined in control, greenhouse summer warming, and annual factorial nitrogen (N) and phosphate (P) addition treatments twelve years after their establishment. DNA sequence analyses at multiple taxonomic levels consistently indicated substantial bulk soil and rhizosphere microbial community differences among the fertilization treatments but no significant greenhouse effects. These results suggest that climate warming will likely increase the activity rates of soil microbial decomposers but without substantially altering the structure of either the bacterial or fungal communities. Differential abundance testing revealed changes in ectomycorrhizal fungal species of the genus Thelephora in both bulk soil and rhizosphere, with increases in their relative abundance in P and N + P amended plots compared with warming and controls. Because birch is the principal low Arctic ectomycorrhizal host, our results suggest that these fungi may promote this shrub’s competitiveness where tundra soil nutrient availability is enhanced by warming or other means, ultimately contributing to arctic vegetation “greening.”
Smithsonian figshare arrow_drop_down Smithsonian figshareArticle . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Arctic, Antarctic, and Alpine ResearchArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/15230430.2021.1951949&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Smithsonian figshare arrow_drop_down Smithsonian figshareArticle . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Arctic, Antarctic, and Alpine ResearchArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 United Kingdom, Norway, Sweden, Netherlands, South Africa, Finland, ItalyPublisher:IOP Publishing Funded by:NSERC, RCN | PREDICTING EFFECTS OF CLI..., UKRI | Climate as a driver of sh... +8 projectsNSERC ,RCN| PREDICTING EFFECTS OF CLIMATE CHANGE ON SVALBARD REINDEER POPULATION DYNAMICS: A MECHANISTIC APPROACH ,UKRI| Climate as a driver of shrub expansion and tundra greening ,NSF| Collaborative Research: Linking belowground phenology and ecosystem function in a warming Arctic ,RCN| Centre for Biodiversity Dynamics (CBD) ,NSF| Consumer-Resource Dynamics in a Changing Climate: Two Case Studies ,RCN| Community dynamics in a rapidly warming high Arctic: trophic synchrony in time and space ,RCN| Disentangling the impacts of herbivory and climate on ecological dynamics ,NSF| Collaborative Research: Linking belowground phenology and ecosystem function in a warming Arctic ,EC| AIAS-COFUND II ,NWO| Feedbacks of vegetation change to permafrost thawing, soil nutrient availability and carbon storage in tundra ecosystemsAuthors: Katariina Vuorinen; Gunnar Austrheim; Jean-Pierre Tremblay; Isla H. Myers-Smith; +37 AuthorsKatariina Vuorinen; Gunnar Austrheim; Jean-Pierre Tremblay; Isla H. Myers-Smith; Hans Ivar Hortman; Peter Frank; Isabel C. Barrio; Fredrik Dalerum; Mats P. Björkman; Robert G. Björk; Dorothee Ehrich; Aleksandr Sokolov; Natalia Sokolova; Pascale Ropars; Stephane Boudreau; Signe Normand; Angela Luisa Prendin; Niels Martin Schmidt; Arturo Pacheco; Eric Post; Christian John; Jeff T Kerby; Patrick F Sullivan; Mathilde Le Moullec; Brage Bremset Hansen; Rene Van der Wal; Åshild Ønvik Pedersen; Lisa Sandal; Laura Gough; Amanda Young; Bingxi Li; Rúna Íris Magnússon; Ute Sass-Klaassen; Agata Buchwal; Jeffery M Welker; Paul Grogan; Rhett Andruko; Clara Morrissette-Boileau; Alexander Volkovitskiy; Alexandra Terekhina; James David Mervyn Speed;Abstract Global warming has pronounced effects on tundra vegetation, and rising mean temperatures increase plant growth potential across the Arctic biome. Herbivores may counteract the warming impacts by reducing plant growth, but the strength of this effect may depend on prevailing regional climatic conditions. To study how ungulates interact with temperature to influence growth of tundra shrubs across the Arctic tundra biome, we assembled dendroecological data from 20 sites, comprising 1,153 individual shrubs and 22,363 annual growth rings. Evidence for ungulates suppressing shrub radial growth was only observed at intermediate summer temperatures (6.5-9°C), and even at these temperatures the effect was not strong. Multiple factors, including forage preferences and landscape use by the ungulates, and favourable climatic conditions enabling effective compensatory growth of shrubs, may weaken the effects of ungulates on shrubs, possibly explaining the weakness of observed ungulate effects. Earlier local studies have shown that ungulates may counteract the impacts of warming on tundra shrub growth, but we demonstrate that ungulates’ potential to suppress shrub radial growth is not always evident, and may be limited to certain climatic conditions.
Archivio istituziona... arrow_drop_down UP Research Data RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Oulu Repository - JultikaArticle . 2022Data sources: University of Oulu Repository - JultikaWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsMunin - Open Research ArchiveArticle . 2022 . Peer-reviewedData sources: Munin - Open Research ArchiveEnvironmental Research LettersArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd 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 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio istituziona... arrow_drop_down UP Research Data RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Oulu Repository - JultikaArticle . 2022Data sources: University of Oulu Repository - JultikaWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsMunin - Open Research ArchiveArticle . 2022 . Peer-reviewedData sources: Munin - Open Research ArchiveEnvironmental Research LettersArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Authors: Orndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; +45 AuthorsOrndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; Alexander, Heather D.; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Mikola, Juha; Mack, Michelle C.; Rose, Melissa; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Yang, Dedi; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Gauthier, Gilles; Boudreau, Stéphane; Gaspard, Anna; Bret-Harte, M. Syndonia; Raynolds, Martha K.; Walker, Donald A.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Ylänne, Henni; Luoto, Miska; Virtanen, Tarmo; Greaves, Heather E.; Forbes, Bruce C.; Heim, Ramona J.; Hölzel, Norbert; Epstein, Howard; Bunn, Andrew G.; Holmes, Robert Max; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2ns0m06b
This dataset provides estimates of live, oven-dried aboveground biomass of all plants (tree, shrub, graminoid, forb, bryophyte) and all woody plants (tree, shrub) at 30-meter resolution across the Arctic tundra biome. Estimates of woody plant dominance are also provided as: (woody plant biomass / plant biomass) * 100. Plant biomass and woody plant biomass were estimated for each pixel (grams per square meter [g / m2]) using field harvest data for calibration/validation along with modeled seasonal surface reflectance data derived using Landsat satellite imagery and the Continuous Change Detection and Classification algorithm, and other supplementary predictors related to topography, region (e.g. bioclimate zone, ecosystem type), land cover, and derivative spectral products. Modeling was performed in a two-stage process using random forest models. First, biomass presence/absence was predicted using probability forests. Then, biomass quantity was predicted using regression forests. The model outputs were combined to produce final biomass estimates. Pixel uncertainty was assessed using Monte Carlo iterations. Field and remote sensing data were permuted during each iteration and the median (50th percentile, p500) predictions for each pixel were considered best estimates. In addition, this dataset provides the lower (2.5th percentile, p025) and upper (97.5th percentile, p975) bounds of a 95% uncertainty interval. Estimates of woody plant dominance are not modeled directly, but rather derived from plant biomass and woody plant biomass best estimates. The Pan Arctic domain includes both the Polar Arctic, defined using bioclimate zone data from the Circumpolar Arctic Vegetation Mapping Project (CAVM; Walker et al., 2005), and the Oro Arctic (treeless alpine tundra at high latitudes outside the Polar Arctic), defined using tundra ecoregions from the RESOLVE ecoregions dataset (Dinerstein et al., 2017) and treeline data from CAVM (CAVM Team, 2003). The mapped products focus on Arctic tundra vegetation biomass, but the coarse delineation of this biome meant some forested areas were included within the study domain. Therefore, this dataset also provides a tree mask product that can be used to mask out areas with canopy height ≥ 5 meters. This mask helps reduce, but does not eliminate entirely, areas of dense tree cover within the domain. Users should be cautious of predictions in forested areas as the models used to predict biomass were not well constrained in these areas. This dataset includes 132 files: 128 cloud-optimized GeoTIFFs, 2 tables in comma-separated values (CSV) format, 1 vector polygon in Shapefile format, and one figure in JPEG format. Raster data is provided in the WGS 84 / North Pole LAEA Bering Sea projection (EPSG:3571) at 30 meter (m) resolution. Raster data are tiled with letters representing rows and numbers representing columns, but note that some tiles do not contain unmasked pixels. We included all tiles nonetheless to maintain consistency. Tiling information can be found in the ‘metadata’ directory as a figure (JPEG) or shapefile.
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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.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Belgium, Qatar, Finland, Belgium, Qatar, NetherlandsPublisher:California Digital Library (CDL) Funded by:EC | INTERACT, EC | CHARTER, UKRI | Climate as a driver of sh... +2 projectsEC| INTERACT ,EC| CHARTER ,UKRI| Climate as a driver of shrub expansion and tundra greening ,AKA| RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS IN IN NORTHWEST EURASIA (RISES) ,NSERCMariana García Criado; Isla H. Myers-Smith; Anne D. Bjorkman; Signe Normand; Anne Blach-Overgaard; Haydn J. D. Thomas; Anu Eskelinen; Konsta Happonen; Juha M. Alatalo; Alba Anadon-Rosell; Isabelle Aubin; Mariska te Beest; Katlyn R. Betway-May; Daan Blok; Allan Buras; Bruno E. L. Cerabolini; Katherine Christie; J. Hans C. Cornelissen; Bruce C. Forbes; Esther R. Frei; Paul Grogan; Luise Hermanutz; Robert D. Hollister; James Hudson; Maitane Iturrate-Garcia; Elina Kaarlejärvi; Michael Kleyer; Laurent J. Lamarque; Jonas J. Lembrechts; Esther Lévesque; Miska Luoto; Petr Macek; Jeremy L. May; Janet S. Prevéy; Gabriela Schaepman-Strub; Serge N. Sheremetiev; Laura Siegwart Collier; Nadejda A. Soudzilovskaia; Andrew Trant; Susanna E. Venn; Anna-Maria Virkkala;pmid: 37380662
pmc: PMC10307830
Climate change is leading to a species redistributions. In the tundra biome, many shrub species are expanding into new areas, a process known as shrubification. However, not all tundra shrub species will benefit from warming. Winner and loser species (those projected to expand and contract their ranges, and/or those that have increased or decreased in cover over time), and the characteristics that may determine success or failure, have not been fully identified. Here, we investigate whether current range sizes are related to plant trait values and intraspecific trait variation by combining 17,921 trait records and distribution data from 62 shrub species across three continents (>30 degrees north). In addition, we determine which traits are associated with species projected by species distribution models to expand or contract their ranges under climate change, and species that have undergone past cover changes over time. Winner and loser shrub species identified from projected range shifts generally differed from those identified from observed past cover change. We found that greater variation in seed mass and specific leaf area were related to larger projected range shifts. Projected winner species generally had greater seed mass values than ‘no change’ and loser species. However, contrary to our expectations, traits’ values and variation were not consistently related to current and projected ranges, and depended upon the future climate scenarios considered in range projections. There were no clear relationships either between cover change over time and trait values or variation. Overall, our findings indicate that abundance changes and projected range shifts will not lead to directional modifications in shrub trait composition or variation with future warming, since winner and loser species share relatively similar trait spaces based on commonly measured traits. Future research could investigate other morpho-physiological traits underpinning climatic preferences, which might better predict future range and abundance changes.
Nature Communication... arrow_drop_down Nature CommunicationsArticle . 2023HELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiQatar University Institutional RepositoryArticle . 2023Data sources: Qatar University Institutional RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2023Data sources: Institutional Repository Universiteit AntwerpenQatar University: QU Institutional RepositoryArticleData 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.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nature Communication... arrow_drop_down Nature CommunicationsArticle . 2023HELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiQatar University Institutional RepositoryArticle . 2023Data sources: Qatar University Institutional RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2023Data sources: Institutional Repository Universiteit AntwerpenQatar University: QU Institutional RepositoryArticleData 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 2020Publisher:Informa UK Limited Authors: Qian Gu; Paul Grogan;Climate change in arctic tundra is projected to affect air temperature, snow depth, soil fertility, and caribou herbivory, which may alter plant community composition by shifting niche space to favor particular species’ life history strategies. We report responses of a Canadian mesic birch hummock tundra plant community to a range of manipulative experiments (greenhouse warming, fertilization, snow fence, and caribou exclosure treatments). Aboveground biomass of each plant species was measured in the same permanent 1 m2 areas using the point frame method in 2005, 2011, and 2017. Although the greenhouse treatment had few effects on individual species, total vascular plant community biomass was enhanced between 2011 and 2017. Furthermore, species’ biomass across all control plots was stable from 2005 to 2011 but increased significantly from 2011 to 2017, with air temperatures also warmer over that same period. Species responded to high-level nitrogen and high-level nitrogen and phosphorus combined additions, with deciduous shrubs and graminoids increasing and evergreen shrubs decreasing. The snow fences and caribou exclosures had little effect on species biomass. Although vegetation greening trends have been reported in arctic environments that are primarily influenced by maritime climate, our study is one of the first to provide plot-based evidence of recent plant biomass increases in the low Arctic’s continental interior.
Arctic, Antarctic, a... arrow_drop_down Arctic, Antarctic, and Alpine ResearchArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Arctic, Antarctic, a... arrow_drop_down Arctic, Antarctic, and Alpine ResearchArticle . 2020 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Berner, Logan T.; Orndahl, Kathleen M.; Rose, Melissa; Tamstorf, Mikkel; Arndal, Marie F.; Alexander, Heather D.; Yang, Dedi; Sistla, Seeta; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Happonen, Konsta; Mikola, Juha; Mack, Michelle C.; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Pold, Grace; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Morneault, Amélie; Gauthier, Gilles; Gignac, Charles; Boudreau, Stéphane; Gaspard, Anna; Kholodov, Alexander; Bret-Harte, M. Syndonia; Greaves, Heather E.; Walker, Donald; Ylänne, Henni; Gregory, Fiona M.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Luoto, Miska; Virtanen, Tarmo; Forbes, Bruce C.; Baillargeon, Natalie; Hölzel, Norbert; Epstein, Howard; Heim, Ramona J.; Bunn, Andrew; Holmes, Robert M.; Hung, Jacqueline K.Y.; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2qj78081
Plant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic Plant Aboveground Biomass Synthesis Dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass grams per meter squared (g/m^2) on 2327 sample plots in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert 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.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Berner, Logan T.; Orndahl, Kathleen M.; Rose, Melissa; Tamstorf, Mikkel; Arndal, Marie F.; Yang, Dedi; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Happonen, Konsta; Mikola, Juha; Mack, Michelle C.; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Morneault, Amélie; Gauthier, Gilles; Gignac, Charles; Boudreau, Stéphane; Gaspard, Anna; Kholodov, Alexander; Bret-Harte, M. Syndonia; Greaves, Heather E.; Walker, Donald; Gregory, Fiona M.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Ylänne, Henni; Luoto, Miska; Virtanen, Tarmo; Forbes, Bruce C.; Hölzel, Norbert; Epstein, Howard; Heim, Ramona J.; Bunn, Andrew; Holmes, Robert M.; Hung, Jacqueline K.Y.; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2k931783
Plant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic Plant Aboveground Biomass Synthesis Dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass grams per meter squared (g/m^2) on 2327 sample plots in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.
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.eu0 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=10.18739/a2k931783&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Informa UK Limited Funded by:NSERCNSERCAuthors: Michelle M. McKnight; Paul Grogan; Virginia K. Walker;Recent climate warming in the Arctic is enhancing microbial decomposition of soil organic matter, which may result in globally significant greenhouse gas releases to the atmosphere. To better predict future impacts, bacterial and fungal community structures in both the bulk soil and the rhizosphere of Arctic birch, Betula glandulosa, were determined in control, greenhouse summer warming, and annual factorial nitrogen (N) and phosphate (P) addition treatments twelve years after their establishment. DNA sequence analyses at multiple taxonomic levels consistently indicated substantial bulk soil and rhizosphere microbial community differences among the fertilization treatments but no significant greenhouse effects. These results suggest that climate warming will likely increase the activity rates of soil microbial decomposers but without substantially altering the structure of either the bacterial or fungal communities. Differential abundance testing revealed changes in ectomycorrhizal fungal species of the genus Thelephora in both bulk soil and rhizosphere, with increases in their relative abundance in P and N + P amended plots compared with warming and controls. Because birch is the principal low Arctic ectomycorrhizal host, our results suggest that these fungi may promote this shrub’s competitiveness where tundra soil nutrient availability is enhanced by warming or other means, ultimately contributing to arctic vegetation “greening.”
Smithsonian figshare arrow_drop_down Smithsonian figshareArticle . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Arctic, Antarctic, and Alpine ResearchArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Smithsonian figshare arrow_drop_down Smithsonian figshareArticle . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Arctic, Antarctic, and Alpine ResearchArticle . 2021 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 United Kingdom, Norway, Sweden, Netherlands, South Africa, Finland, ItalyPublisher:IOP Publishing Funded by:NSERC, RCN | PREDICTING EFFECTS OF CLI..., UKRI | Climate as a driver of sh... +8 projectsNSERC ,RCN| PREDICTING EFFECTS OF CLIMATE CHANGE ON SVALBARD REINDEER POPULATION DYNAMICS: A MECHANISTIC APPROACH ,UKRI| Climate as a driver of shrub expansion and tundra greening ,NSF| Collaborative Research: Linking belowground phenology and ecosystem function in a warming Arctic ,RCN| Centre for Biodiversity Dynamics (CBD) ,NSF| Consumer-Resource Dynamics in a Changing Climate: Two Case Studies ,RCN| Community dynamics in a rapidly warming high Arctic: trophic synchrony in time and space ,RCN| Disentangling the impacts of herbivory and climate on ecological dynamics ,NSF| Collaborative Research: Linking belowground phenology and ecosystem function in a warming Arctic ,EC| AIAS-COFUND II ,NWO| Feedbacks of vegetation change to permafrost thawing, soil nutrient availability and carbon storage in tundra ecosystemsAuthors: Katariina Vuorinen; Gunnar Austrheim; Jean-Pierre Tremblay; Isla H. Myers-Smith; +37 AuthorsKatariina Vuorinen; Gunnar Austrheim; Jean-Pierre Tremblay; Isla H. Myers-Smith; Hans Ivar Hortman; Peter Frank; Isabel C. Barrio; Fredrik Dalerum; Mats P. Björkman; Robert G. Björk; Dorothee Ehrich; Aleksandr Sokolov; Natalia Sokolova; Pascale Ropars; Stephane Boudreau; Signe Normand; Angela Luisa Prendin; Niels Martin Schmidt; Arturo Pacheco; Eric Post; Christian John; Jeff T Kerby; Patrick F Sullivan; Mathilde Le Moullec; Brage Bremset Hansen; Rene Van der Wal; Åshild Ønvik Pedersen; Lisa Sandal; Laura Gough; Amanda Young; Bingxi Li; Rúna Íris Magnússon; Ute Sass-Klaassen; Agata Buchwal; Jeffery M Welker; Paul Grogan; Rhett Andruko; Clara Morrissette-Boileau; Alexander Volkovitskiy; Alexandra Terekhina; James David Mervyn Speed;Abstract Global warming has pronounced effects on tundra vegetation, and rising mean temperatures increase plant growth potential across the Arctic biome. Herbivores may counteract the warming impacts by reducing plant growth, but the strength of this effect may depend on prevailing regional climatic conditions. To study how ungulates interact with temperature to influence growth of tundra shrubs across the Arctic tundra biome, we assembled dendroecological data from 20 sites, comprising 1,153 individual shrubs and 22,363 annual growth rings. Evidence for ungulates suppressing shrub radial growth was only observed at intermediate summer temperatures (6.5-9°C), and even at these temperatures the effect was not strong. Multiple factors, including forage preferences and landscape use by the ungulates, and favourable climatic conditions enabling effective compensatory growth of shrubs, may weaken the effects of ungulates on shrubs, possibly explaining the weakness of observed ungulate effects. Earlier local studies have shown that ungulates may counteract the impacts of warming on tundra shrub growth, but we demonstrate that ungulates’ potential to suppress shrub radial growth is not always evident, and may be limited to certain climatic conditions.
Archivio istituziona... arrow_drop_down UP Research Data RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Oulu Repository - JultikaArticle . 2022Data sources: University of Oulu Repository - JultikaWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsMunin - Open Research ArchiveArticle . 2022 . Peer-reviewedData sources: Munin - Open Research ArchiveEnvironmental Research LettersArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd 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 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Archivio istituziona... arrow_drop_down UP Research Data RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Oulu Repository - JultikaArticle . 2022Data sources: University of Oulu Repository - JultikaWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsMunin - Open Research ArchiveArticle . 2022 . Peer-reviewedData sources: Munin - Open Research ArchiveEnvironmental Research LettersArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2024Publisher:NSF Arctic Data Center Authors: Orndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; +45 AuthorsOrndahl, Kathleen M.; Berner, Logan T.; Macander, Matthew J.; Arndal, Marie F.; Alexander, Heather D.; Humphreys, Elyn R.; Loranty, Michael M.; Ludwig, Sarah M.; Nyman, Johanna; Juutinen, Sari; Aurela, Mika; Mikola, Juha; Mack, Michelle C.; Rose, Melissa; Vankoughnett, Mathew R.; Iversen, Colleen M.; Salmon, Verity G.; Kumar, Jitendra; Yang, Dedi; Grogan, Paul; Danby, Ryan K.; Scott, Neal A.; Olofsson, Johan; Siewert, Matthias B.; Deschamps, Lucas; Lévesque, Esther; Maire, Vincent; Gauthier, Gilles; Boudreau, Stéphane; Gaspard, Anna; Bret-Harte, M. Syndonia; Raynolds, Martha K.; Walker, Donald A.; Michelsen, Anders; Kumpula, Timo; Villoslada, Miguel; Ylänne, Henni; Luoto, Miska; Virtanen, Tarmo; Greaves, Heather E.; Forbes, Bruce C.; Heim, Ramona J.; Hölzel, Norbert; Epstein, Howard; Bunn, Andrew G.; Holmes, Robert Max; Natali, Susan M.; Virkkala, Anna-Maria; Goetz, Scott J.;doi: 10.18739/a2ns0m06b
This dataset provides estimates of live, oven-dried aboveground biomass of all plants (tree, shrub, graminoid, forb, bryophyte) and all woody plants (tree, shrub) at 30-meter resolution across the Arctic tundra biome. Estimates of woody plant dominance are also provided as: (woody plant biomass / plant biomass) * 100. Plant biomass and woody plant biomass were estimated for each pixel (grams per square meter [g / m2]) using field harvest data for calibration/validation along with modeled seasonal surface reflectance data derived using Landsat satellite imagery and the Continuous Change Detection and Classification algorithm, and other supplementary predictors related to topography, region (e.g. bioclimate zone, ecosystem type), land cover, and derivative spectral products. Modeling was performed in a two-stage process using random forest models. First, biomass presence/absence was predicted using probability forests. Then, biomass quantity was predicted using regression forests. The model outputs were combined to produce final biomass estimates. Pixel uncertainty was assessed using Monte Carlo iterations. Field and remote sensing data were permuted during each iteration and the median (50th percentile, p500) predictions for each pixel were considered best estimates. In addition, this dataset provides the lower (2.5th percentile, p025) and upper (97.5th percentile, p975) bounds of a 95% uncertainty interval. Estimates of woody plant dominance are not modeled directly, but rather derived from plant biomass and woody plant biomass best estimates. The Pan Arctic domain includes both the Polar Arctic, defined using bioclimate zone data from the Circumpolar Arctic Vegetation Mapping Project (CAVM; Walker et al., 2005), and the Oro Arctic (treeless alpine tundra at high latitudes outside the Polar Arctic), defined using tundra ecoregions from the RESOLVE ecoregions dataset (Dinerstein et al., 2017) and treeline data from CAVM (CAVM Team, 2003). The mapped products focus on Arctic tundra vegetation biomass, but the coarse delineation of this biome meant some forested areas were included within the study domain. Therefore, this dataset also provides a tree mask product that can be used to mask out areas with canopy height ≥ 5 meters. This mask helps reduce, but does not eliminate entirely, areas of dense tree cover within the domain. Users should be cautious of predictions in forested areas as the models used to predict biomass were not well constrained in these areas. This dataset includes 132 files: 128 cloud-optimized GeoTIFFs, 2 tables in comma-separated values (CSV) format, 1 vector polygon in Shapefile format, and one figure in JPEG format. Raster data is provided in the WGS 84 / North Pole LAEA Bering Sea projection (EPSG:3571) at 30 meter (m) resolution. Raster data are tiled with letters representing rows and numbers representing columns, but note that some tiles do not contain unmasked pixels. We included all tiles nonetheless to maintain consistency. Tiling information can be found in the ‘metadata’ directory as a figure (JPEG) or shapefile.
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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.
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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=10.18739/a2ns0m06b&type=result"></script>'); --> </script>
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