Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard
The Arctic is warming at a rate four times the global average, while also being exposed to other global environmental changes, resulting in widespread vegetation and ecosystem change. Integrating functional trait-based approaches with multi-level vegetation, ecosystem, and landscape data enables a h...
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477187/ http://www.ncbi.nlm.nih.gov/pubmed/37666874 https://doi.org/10.1038/s41597-023-02467-7 |
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ftpubmed:oai:pubmedcentral.nih.gov:10477187 2023-10-09T21:48:43+02:00 Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard Vandvik, Vigdis Halbritter, Aud H. Althuizen, Inge H. J. Christiansen, Casper T. Henn, Jonathan J. Jónsdóttir, Ingibjörg Svala Klanderud, Kari Macias-Fauria, Marc Malhi, Yadvinder Maitner, Brian Salvin Michaletz, Sean Roos, Ruben E. Telford, Richard J. Bass, Polly Björnsdóttir, Katrín Bustamante, Lucely Lucero Vilca Chmurzynski, Adam Chen, Shuli Haugum, Siri Vatsø Kemppinen, Julia Lepley, Kai Li, Yaoqi Linabury, Mary Matos, Ilaíne Silveira Neto-Bradley, Barbara M. Ng, Molly Niittynen, Pekka Östman, Silje Pánková, Karolína Roth, Nina Castorena, Matiss Spiegel, Marcus Thomson, Eleanor Vågenes, Alexander Sæle Enquist, Brian J. 2023-09-04 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477187/ http://www.ncbi.nlm.nih.gov/pubmed/37666874 https://doi.org/10.1038/s41597-023-02467-7 en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477187/ http://www.ncbi.nlm.nih.gov/pubmed/37666874 http://dx.doi.org/10.1038/s41597-023-02467-7 © Springer Nature Limited 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . Sci Data Data Descriptor Text 2023 ftpubmed https://doi.org/10.1038/s41597-023-02467-7 2023-09-10T00:55:20Z The Arctic is warming at a rate four times the global average, while also being exposed to other global environmental changes, resulting in widespread vegetation and ecosystem change. Integrating functional trait-based approaches with multi-level vegetation, ecosystem, and landscape data enables a holistic understanding of the drivers and consequences of these changes. In two High Arctic study systems near Longyearbyen, Svalbard, a 20-year ITEX warming experiment and elevational gradients with and without nutrient input from nesting seabirds, we collected data on vegetation composition and structure, plant functional traits, ecosystem fluxes, multispectral remote sensing, and microclimate. The dataset contains 1,962 plant records and 16,160 trait measurements from 34 vascular plant taxa, for 9 of which these are the first published trait data. By integrating these comprehensive data, we bridge knowledge gaps and expand trait data coverage, including on intraspecific trait variation. These data can offer insights into ecosystem functioning and provide baselines to assess climate and environmental change impacts. Such knowledge is crucial for effective conservation and management in these vulnerable regions. Text Arctic Longyearbyen Svalbard PubMed Central (PMC) Arctic Longyearbyen Svalbard Scientific Data 10 1 |
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Data Descriptor Vandvik, Vigdis Halbritter, Aud H. Althuizen, Inge H. J. Christiansen, Casper T. Henn, Jonathan J. Jónsdóttir, Ingibjörg Svala Klanderud, Kari Macias-Fauria, Marc Malhi, Yadvinder Maitner, Brian Salvin Michaletz, Sean Roos, Ruben E. Telford, Richard J. Bass, Polly Björnsdóttir, Katrín Bustamante, Lucely Lucero Vilca Chmurzynski, Adam Chen, Shuli Haugum, Siri Vatsø Kemppinen, Julia Lepley, Kai Li, Yaoqi Linabury, Mary Matos, Ilaíne Silveira Neto-Bradley, Barbara M. Ng, Molly Niittynen, Pekka Östman, Silje Pánková, Karolína Roth, Nina Castorena, Matiss Spiegel, Marcus Thomson, Eleanor Vågenes, Alexander Sæle Enquist, Brian J. Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard |
topic_facet |
Data Descriptor |
description |
The Arctic is warming at a rate four times the global average, while also being exposed to other global environmental changes, resulting in widespread vegetation and ecosystem change. Integrating functional trait-based approaches with multi-level vegetation, ecosystem, and landscape data enables a holistic understanding of the drivers and consequences of these changes. In two High Arctic study systems near Longyearbyen, Svalbard, a 20-year ITEX warming experiment and elevational gradients with and without nutrient input from nesting seabirds, we collected data on vegetation composition and structure, plant functional traits, ecosystem fluxes, multispectral remote sensing, and microclimate. The dataset contains 1,962 plant records and 16,160 trait measurements from 34 vascular plant taxa, for 9 of which these are the first published trait data. By integrating these comprehensive data, we bridge knowledge gaps and expand trait data coverage, including on intraspecific trait variation. These data can offer insights into ecosystem functioning and provide baselines to assess climate and environmental change impacts. Such knowledge is crucial for effective conservation and management in these vulnerable regions. |
format |
Text |
author |
Vandvik, Vigdis Halbritter, Aud H. Althuizen, Inge H. J. Christiansen, Casper T. Henn, Jonathan J. Jónsdóttir, Ingibjörg Svala Klanderud, Kari Macias-Fauria, Marc Malhi, Yadvinder Maitner, Brian Salvin Michaletz, Sean Roos, Ruben E. Telford, Richard J. Bass, Polly Björnsdóttir, Katrín Bustamante, Lucely Lucero Vilca Chmurzynski, Adam Chen, Shuli Haugum, Siri Vatsø Kemppinen, Julia Lepley, Kai Li, Yaoqi Linabury, Mary Matos, Ilaíne Silveira Neto-Bradley, Barbara M. Ng, Molly Niittynen, Pekka Östman, Silje Pánková, Karolína Roth, Nina Castorena, Matiss Spiegel, Marcus Thomson, Eleanor Vågenes, Alexander Sæle Enquist, Brian J. |
author_facet |
Vandvik, Vigdis Halbritter, Aud H. Althuizen, Inge H. J. Christiansen, Casper T. Henn, Jonathan J. Jónsdóttir, Ingibjörg Svala Klanderud, Kari Macias-Fauria, Marc Malhi, Yadvinder Maitner, Brian Salvin Michaletz, Sean Roos, Ruben E. Telford, Richard J. Bass, Polly Björnsdóttir, Katrín Bustamante, Lucely Lucero Vilca Chmurzynski, Adam Chen, Shuli Haugum, Siri Vatsø Kemppinen, Julia Lepley, Kai Li, Yaoqi Linabury, Mary Matos, Ilaíne Silveira Neto-Bradley, Barbara M. Ng, Molly Niittynen, Pekka Östman, Silje Pánková, Karolína Roth, Nina Castorena, Matiss Spiegel, Marcus Thomson, Eleanor Vågenes, Alexander Sæle Enquist, Brian J. |
author_sort |
Vandvik, Vigdis |
title |
Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard |
title_short |
Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard |
title_full |
Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard |
title_fullStr |
Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard |
title_full_unstemmed |
Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard |
title_sort |
plant traits and associated data from a warming experiment, a seabird colony, and along elevation in svalbard |
publisher |
Nature Publishing Group UK |
publishDate |
2023 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477187/ http://www.ncbi.nlm.nih.gov/pubmed/37666874 https://doi.org/10.1038/s41597-023-02467-7 |
geographic |
Arctic Longyearbyen Svalbard |
geographic_facet |
Arctic Longyearbyen Svalbard |
genre |
Arctic Longyearbyen Svalbard |
genre_facet |
Arctic Longyearbyen Svalbard |
op_source |
Sci Data |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477187/ http://www.ncbi.nlm.nih.gov/pubmed/37666874 http://dx.doi.org/10.1038/s41597-023-02467-7 |
op_rights |
© Springer Nature Limited 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
op_doi |
https://doi.org/10.1038/s41597-023-02467-7 |
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Scientific Data |
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