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Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China
Functional trait data enhance climate change research by linking climate change, biodiversity response, and ecosystem functioning, and by enabling comparison between systems sharing few taxa. Across four sites along a 3000–4130 m a.s.l. gradient spanning 5.3 °C in growing season temperature in Mt. G...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305152/ https://www.ncbi.nlm.nih.gov/pubmed/32561854 http://dx.doi.org/10.1038/s41597-020-0529-0 |
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| author | Vandvik, Vigdis Halbritter, Aud H. Yang, Yan He, Hai Zhang, Li Brummer, Alexander B. Klanderud, Kari Maitner, Brian S. Michaletz, Sean T. Sun, Xiangyang Telford, Richard J. Wang, Genxu Althuizen, Inge H. J. Henn, Jonathan J. Garcia, William Fernando Erazo Gya, Ragnhild Jaroszynska, Francesca Joyce, Blake L. Lehman, Rebecca Moerland, Michelangelo Sergio Nesheim-Hauge, Elisabeth Nordås, Linda Hovde Peng, Ahui Ponsac, Claire Seltzer, Lorah Steyn, Christien Sullivan, Megan K. Tjendra, Jesslyn Xiao, Yao Zhao, Xiaoxiang Enquist, Brian J. |
| author_facet | Vandvik, Vigdis Halbritter, Aud H. Yang, Yan He, Hai Zhang, Li Brummer, Alexander B. Klanderud, Kari Maitner, Brian S. Michaletz, Sean T. Sun, Xiangyang Telford, Richard J. Wang, Genxu Althuizen, Inge H. J. Henn, Jonathan J. Garcia, William Fernando Erazo Gya, Ragnhild Jaroszynska, Francesca Joyce, Blake L. Lehman, Rebecca Moerland, Michelangelo Sergio Nesheim-Hauge, Elisabeth Nordås, Linda Hovde Peng, Ahui Ponsac, Claire Seltzer, Lorah Steyn, Christien Sullivan, Megan K. Tjendra, Jesslyn Xiao, Yao Zhao, Xiaoxiang Enquist, Brian J. |
| author_sort | Vandvik, Vigdis |
| collection | PubMed |
| description | Functional trait data enhance climate change research by linking climate change, biodiversity response, and ecosystem functioning, and by enabling comparison between systems sharing few taxa. Across four sites along a 3000–4130 m a.s.l. gradient spanning 5.3 °C in growing season temperature in Mt. Gongga, Sichuan, China, we collected plant functional trait and vegetation data from control plots, open top chambers (OTCs), and reciprocally transplanted vegetation turfs. Over five years, we recorded vascular plant composition in 140 experimental treatment and control plots. We collected trait data associated with plant resource use, growth, and life history strategies (leaf area, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N and P content and C and N isotopes) from local populations and from experimental treatments. The database consists of 6,671 plant records and 36,743 trait measurements (increasing the trait data coverage of the regional flora by 500%) covering 11 traits and 193 plant taxa (ca. 50% of which have no previous published trait data) across 37 families. |
| format | Online Article Text |
| id | pubmed-7305152 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-73051522020-06-22 Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China Vandvik, Vigdis Halbritter, Aud H. Yang, Yan He, Hai Zhang, Li Brummer, Alexander B. Klanderud, Kari Maitner, Brian S. Michaletz, Sean T. Sun, Xiangyang Telford, Richard J. Wang, Genxu Althuizen, Inge H. J. Henn, Jonathan J. Garcia, William Fernando Erazo Gya, Ragnhild Jaroszynska, Francesca Joyce, Blake L. Lehman, Rebecca Moerland, Michelangelo Sergio Nesheim-Hauge, Elisabeth Nordås, Linda Hovde Peng, Ahui Ponsac, Claire Seltzer, Lorah Steyn, Christien Sullivan, Megan K. Tjendra, Jesslyn Xiao, Yao Zhao, Xiaoxiang Enquist, Brian J. Sci Data Data Descriptor Functional trait data enhance climate change research by linking climate change, biodiversity response, and ecosystem functioning, and by enabling comparison between systems sharing few taxa. Across four sites along a 3000–4130 m a.s.l. gradient spanning 5.3 °C in growing season temperature in Mt. Gongga, Sichuan, China, we collected plant functional trait and vegetation data from control plots, open top chambers (OTCs), and reciprocally transplanted vegetation turfs. Over five years, we recorded vascular plant composition in 140 experimental treatment and control plots. We collected trait data associated with plant resource use, growth, and life history strategies (leaf area, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N and P content and C and N isotopes) from local populations and from experimental treatments. The database consists of 6,671 plant records and 36,743 trait measurements (increasing the trait data coverage of the regional flora by 500%) covering 11 traits and 193 plant taxa (ca. 50% of which have no previous published trait data) across 37 families. Nature Publishing Group UK 2020-06-19 /pmc/articles/PMC7305152/ /pubmed/32561854 http://dx.doi.org/10.1038/s41597-020-0529-0 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
| spellingShingle | Data Descriptor Vandvik, Vigdis Halbritter, Aud H. Yang, Yan He, Hai Zhang, Li Brummer, Alexander B. Klanderud, Kari Maitner, Brian S. Michaletz, Sean T. Sun, Xiangyang Telford, Richard J. Wang, Genxu Althuizen, Inge H. J. Henn, Jonathan J. Garcia, William Fernando Erazo Gya, Ragnhild Jaroszynska, Francesca Joyce, Blake L. Lehman, Rebecca Moerland, Michelangelo Sergio Nesheim-Hauge, Elisabeth Nordås, Linda Hovde Peng, Ahui Ponsac, Claire Seltzer, Lorah Steyn, Christien Sullivan, Megan K. Tjendra, Jesslyn Xiao, Yao Zhao, Xiaoxiang Enquist, Brian J. Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China |
| title | Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China |
| title_full | Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China |
| title_fullStr | Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China |
| title_full_unstemmed | Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China |
| title_short | Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China |
| title_sort | plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in gongga mountains, china |
| topic | Data Descriptor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305152/ https://www.ncbi.nlm.nih.gov/pubmed/32561854 http://dx.doi.org/10.1038/s41597-020-0529-0 |
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