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: | https://hdl.handle.net/11250/3134783 https://doi.org/10.1038/s41597-023-02467-7 |
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ftunivbergen:oai:bora.uib.no:11250/3134783 2024-09-15T18:17:58+00:00 Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard Vandvik, Vigdis Halbritter, Aud Helen Althuizen, Inge Christiansen, Casper Tai Henn, Jonathan Jeffrey Jonsdottir, Ingibjorg Svala Klanderud, Kari Macias-Fauria, Marc Malhi, Yadvinder Maitner, Brian Salvin Michaletz, Sean T. Roos, Ruben Erik Telford, Richard James Bass, Polly Björnsdóttir, Katrin Bustamante, Lucely Lucero Vilca Chmurzynski, Adam Chen, Shuli Haugum, Siri Vatsø Kemppinen, Julia Lepley, Kai Li, Yaoqi Linabury, Mary Matos, Ilaine Silveira Neto-Bradley, Barbara M. Ng, Molly Niittynen, Pekka Hjortland Östman, Silje Andrea Pankova, Karolina Roth, Nina Castorena, Matiss Spiegel, Marcus P. Thomson, Eleanor R. Vågenes, Alexander Sæle Enquist, Brian J. 2023 application/pdf https://hdl.handle.net/11250/3134783 https://doi.org/10.1038/s41597-023-02467-7 eng eng Springer Nature Norges forskningsråd: 287784 urn:issn:2052-4463 https://hdl.handle.net/11250/3134783 https://doi.org/10.1038/s41597-023-02467-7 cristin:2202075 Scientific Data. 2023, 10, 578. Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2023 the authors 578 Scientific Data 10 Journal article Peer reviewed 2023 ftunivbergen https://doi.org/10.1038/s41597-023-02467-7 2024-06-26T00:08:42Z 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. publishedVersion Article in Journal/Newspaper Longyearbyen Svalbard University of Bergen: Bergen Open Research Archive (BORA-UiB) Scientific Data 10 1 |
institution |
Open Polar |
collection |
University of Bergen: Bergen Open Research Archive (BORA-UiB) |
op_collection_id |
ftunivbergen |
language |
English |
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. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Vandvik, Vigdis Halbritter, Aud Helen Althuizen, Inge Christiansen, Casper Tai Henn, Jonathan Jeffrey Jonsdottir, Ingibjorg Svala Klanderud, Kari Macias-Fauria, Marc Malhi, Yadvinder Maitner, Brian Salvin Michaletz, Sean T. Roos, Ruben Erik Telford, Richard James Bass, Polly Björnsdóttir, Katrin Bustamante, Lucely Lucero Vilca Chmurzynski, Adam Chen, Shuli Haugum, Siri Vatsø Kemppinen, Julia Lepley, Kai Li, Yaoqi Linabury, Mary Matos, Ilaine Silveira Neto-Bradley, Barbara M. Ng, Molly Niittynen, Pekka Hjortland Östman, Silje Andrea Pankova, Karolina Roth, Nina Castorena, Matiss Spiegel, Marcus P. Thomson, Eleanor R. Vågenes, Alexander Sæle Enquist, Brian J. |
spellingShingle |
Vandvik, Vigdis Halbritter, Aud Helen Althuizen, Inge Christiansen, Casper Tai Henn, Jonathan Jeffrey Jonsdottir, Ingibjorg Svala Klanderud, Kari Macias-Fauria, Marc Malhi, Yadvinder Maitner, Brian Salvin Michaletz, Sean T. Roos, Ruben Erik Telford, Richard James Bass, Polly Björnsdóttir, Katrin Bustamante, Lucely Lucero Vilca Chmurzynski, Adam Chen, Shuli Haugum, Siri Vatsø Kemppinen, Julia Lepley, Kai Li, Yaoqi Linabury, Mary Matos, Ilaine Silveira Neto-Bradley, Barbara M. Ng, Molly Niittynen, Pekka Hjortland Östman, Silje Andrea Pankova, Karolina Roth, Nina Castorena, Matiss Spiegel, Marcus P. Thomson, Eleanor R. Vågenes, Alexander Sæle Enquist, Brian J. Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard |
author_facet |
Vandvik, Vigdis Halbritter, Aud Helen Althuizen, Inge Christiansen, Casper Tai Henn, Jonathan Jeffrey Jonsdottir, Ingibjorg Svala Klanderud, Kari Macias-Fauria, Marc Malhi, Yadvinder Maitner, Brian Salvin Michaletz, Sean T. Roos, Ruben Erik Telford, Richard James Bass, Polly Björnsdóttir, Katrin Bustamante, Lucely Lucero Vilca Chmurzynski, Adam Chen, Shuli Haugum, Siri Vatsø Kemppinen, Julia Lepley, Kai Li, Yaoqi Linabury, Mary Matos, Ilaine Silveira Neto-Bradley, Barbara M. Ng, Molly Niittynen, Pekka Hjortland Östman, Silje Andrea Pankova, Karolina Roth, Nina Castorena, Matiss Spiegel, Marcus P. Thomson, Eleanor R. 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 |
Springer Nature |
publishDate |
2023 |
url |
https://hdl.handle.net/11250/3134783 https://doi.org/10.1038/s41597-023-02467-7 |
genre |
Longyearbyen Svalbard |
genre_facet |
Longyearbyen Svalbard |
op_source |
578 Scientific Data 10 |
op_relation |
Norges forskningsråd: 287784 urn:issn:2052-4463 https://hdl.handle.net/11250/3134783 https://doi.org/10.1038/s41597-023-02467-7 cristin:2202075 Scientific Data. 2023, 10, 578. |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2023 the authors |
op_doi |
https://doi.org/10.1038/s41597-023-02467-7 |
container_title |
Scientific Data |
container_volume |
10 |
container_issue |
1 |
_version_ |
1810456101809815552 |