TY - JOUR
T1 - Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard
AU - Vandvik, Vigdis
AU - Halbritter, Aud H.
AU - Althuizen, Inge H.J.
AU - Christiansen, Casper T.
AU - Henn, Jonathan J.
AU - Jónsdóttir, Ingibjörg Svala
AU - Klanderud, Kari
AU - Macias-Fauria, Marc
AU - Malhi, Yadvinder
AU - Maitner, Brian Salvin
AU - Michaletz, Sean
AU - Roos, Ruben E.
AU - Telford, Richard J.
AU - Bass, Polly
AU - Björnsdóttir, Katrín
AU - Bustamante, Lucely Lucero Vilca
AU - Chmurzynski, Adam
AU - Chen, Shuli
AU - Haugum, Siri Vatsø
AU - Kemppinen, Julia
AU - Lepley, Kai
AU - Li, Yaoqi
AU - Linabury, Mary
AU - Matos, Ilaíne Silveira
AU - Neto-Bradley, Barbara M.
AU - Ng, Molly
AU - Niittynen, Pekka
AU - Östman, Silje
AU - Pánková, Karolína
AU - Roth, Nina
AU - Castorena, Matiss
AU - Spiegel, Marcus
AU - Thomson, Eleanor
AU - Vågenes, Alexander Sæle
AU - Enquist, Brian J.
N1 - Publisher Copyright: © 2023, Springer Nature Limited.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
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U2 - 10.1038/s41597-023-02467-7
DO - 10.1038/s41597-023-02467-7
M3 - Article
C2 - 37666874
SN - 2052-4463
VL - 10
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 578
ER -