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...
Published in: | Scientific Data |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2023
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Online Access: | https://curis.ku.dk/portal/da/publications/plant-traits-and-associated-data-from-a-warming-experiment-a-seabird-colony-and-along-elevation-in-svalbard(1880ce24-7d84-4c98-af38-733db447d55a).html https://doi.org/10.1038/s41597-023-02467-7 https://curis.ku.dk/ws/files/366648390/s41597_023_02467_7.pdf |
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University of Copenhagen: Research |
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English |
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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. 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 ... |
format |
Article in Journal/Newspaper |
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. |
spellingShingle |
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 |
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 |
publishDate |
2023 |
url |
https://curis.ku.dk/portal/da/publications/plant-traits-and-associated-data-from-a-warming-experiment-a-seabird-colony-and-along-elevation-in-svalbard(1880ce24-7d84-4c98-af38-733db447d55a).html https://doi.org/10.1038/s41597-023-02467-7 https://curis.ku.dk/ws/files/366648390/s41597_023_02467_7.pdf |
geographic |
Arctic Longyearbyen Svalbard |
geographic_facet |
Arctic Longyearbyen Svalbard |
genre |
Arctic Longyearbyen Svalbard |
genre_facet |
Arctic Longyearbyen Svalbard |
op_source |
Vandvik , V , Halbritter , A H , Althuizen , I H J , Christiansen , C T , Henn , J J , Jónsdóttir , I S , Klanderud , K , Macias-Fauria , M , Malhi , Y , Maitner , B S , Michaletz , S , Roos , R E , Telford , R J , Bass , P , Björnsdóttir , K , Bustamante , L L V , Chmurzynski , A , Chen , S , Haugum , S V , Kemppinen , J , Lepley , K , Li , Y , Linabury , M , Matos , I S , Neto-Bradley , B M , Ng , M , Niittynen , P , Östman , S , Pánková , K , Roth , N , Castorena , M , Spiegel , M , Thomson , E , Vågenes , A S & Enquist , B J 2023 , ' Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard ' , Scientific Data , vol. 10 , no. 1 , 578 . https://doi.org/10.1038/s41597-023-02467-7 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1038/s41597-023-02467-7 |
container_title |
Scientific Data |
container_volume |
10 |
container_issue |
1 |
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1801372371797409792 |
spelling |
ftcopenhagenunip:oai:pure.atira.dk:publications/1880ce24-7d84-4c98-af38-733db447d55a 2024-06-09T07:43:33+00:00 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 application/pdf https://curis.ku.dk/portal/da/publications/plant-traits-and-associated-data-from-a-warming-experiment-a-seabird-colony-and-along-elevation-in-svalbard(1880ce24-7d84-4c98-af38-733db447d55a).html https://doi.org/10.1038/s41597-023-02467-7 https://curis.ku.dk/ws/files/366648390/s41597_023_02467_7.pdf eng eng info:eu-repo/semantics/openAccess Vandvik , V , Halbritter , A H , Althuizen , I H J , Christiansen , C T , Henn , J J , Jónsdóttir , I S , Klanderud , K , Macias-Fauria , M , Malhi , Y , Maitner , B S , Michaletz , S , Roos , R E , Telford , R J , Bass , P , Björnsdóttir , K , Bustamante , L L V , Chmurzynski , A , Chen , S , Haugum , S V , Kemppinen , J , Lepley , K , Li , Y , Linabury , M , Matos , I S , Neto-Bradley , B M , Ng , M , Niittynen , P , Östman , S , Pánková , K , Roth , N , Castorena , M , Spiegel , M , Thomson , E , Vågenes , A S & Enquist , B J 2023 , ' Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard ' , Scientific Data , vol. 10 , no. 1 , 578 . https://doi.org/10.1038/s41597-023-02467-7 article 2023 ftcopenhagenunip https://doi.org/10.1038/s41597-023-02467-7 2024-05-16T11:29:30Z 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. 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 ... Article in Journal/Newspaper Arctic Longyearbyen Svalbard University of Copenhagen: Research Arctic Longyearbyen Svalbard Scientific Data 10 1 |