Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard

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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.

In: Scientific Data, Vol. 10, No. 1, 578, 2023.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Vandvik, V, Halbritter, AH, Althuizen, IHJ, Christiansen, CT, Henn, JJ, Jónsdóttir, IS, Klanderud, K, Macias-Fauria, M, Malhi, Y, Maitner, BS, Michaletz, S, Roos, RE, Telford, RJ, Bass, P, Björnsdóttir, K, Bustamante, LLV, Chmurzynski, A, Chen, S, Haugum, SV, Kemppinen, J, Lepley, K, Li, Y, Linabury, M, Matos, IS, Neto-Bradley, BM, Ng, M, Niittynen, P, Östman, S, Pánková, K, Roth, N, Castorena, M, Spiegel, M, Thomson, E, Vågenes, AS & Enquist, BJ 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

APA

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., ... Enquist, B. J. (2023). Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard. Scientific Data, 10(1), [578]. https://doi.org/10.1038/s41597-023-02467-7

Vancouver

Vandvik V, Halbritter AH, Althuizen IHJ, Christiansen CT, Henn JJ, Jónsdóttir IS et al. Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard. Scientific Data. 2023;10(1). 578. https://doi.org/10.1038/s41597-023-02467-7

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. / Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard. In: Scientific Data. 2023 ; Vol. 10, No. 1.

Bibtex

@article{1880ce247d844c98af38733db447d55a,
title = "Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard",
abstract = "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.",
author = "Vigdis Vandvik and Halbritter, {Aud H.} and Althuizen, {Inge H.J.} and Christiansen, {Casper T.} and Henn, {Jonathan J.} and J{\'o}nsd{\'o}ttir, {Ingibj{\"o}rg Svala} and Kari Klanderud and Marc Macias-Fauria and Yadvinder Malhi and Maitner, {Brian Salvin} and Sean Michaletz and Roos, {Ruben E.} and Telford, {Richard J.} and Polly Bass and Katr{\'i}n Bj{\"o}rnsd{\'o}ttir and Bustamante, {Lucely Lucero Vilca} and Adam Chmurzynski and Shuli Chen and Haugum, {Siri Vats{\o}} and Julia Kemppinen and Kai Lepley and Yaoqi Li and Mary Linabury and Matos, {Ila{\'i}ne Silveira} and Neto-Bradley, {Barbara M.} and Molly Ng and Pekka Niittynen and Silje {\"O}stman and Karol{\'i}na P{\'a}nkov{\'a} and Nina Roth and Matiss Castorena and Marcus Spiegel and Eleanor Thomson and V{\aa}genes, {Alexander S{\ae}le} and Enquist, {Brian J.}",
note = "Publisher Copyright: {\textcopyright} 2023, Springer Nature Limited.",
year = "2023",
doi = "10.1038/s41597-023-02467-7",
language = "English",
volume = "10",
journal = "Scientific data",
issn = "2052-4463",
publisher = "nature publishing group",
number = "1",

}

RIS

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

Y1 - 2023

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.

U2 - 10.1038/s41597-023-02467-7

DO - 10.1038/s41597-023-02467-7

M3 - Journal article

C2 - 37666874

AN - SCOPUS:85169674870

VL - 10

JO - Scientific data

JF - Scientific data

SN - 2052-4463

IS - 1

M1 - 578

ER -

ID: 366648386