Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China
dc.contributor.author | Vandvik, Vigdis | |
dc.contributor.author | Halbritter, Aud H | |
dc.contributor.author | Yang, Yan | |
dc.contributor.author | He, Hai | |
dc.contributor.author | Zhang, Li | |
dc.contributor.author | Brummer, Alexander B | |
dc.contributor.author | Klanderud, Kari | |
dc.contributor.author | Maitner, Brian S | |
dc.contributor.author | Michaletz, Sean T | |
dc.contributor.author | Sun, Xiangyang | |
dc.contributor.author | Telford, Richard J | |
dc.contributor.author | Wang, Genxu | |
dc.contributor.author | Althuizen, Inge H J | |
dc.contributor.author | Henn, Jonathan J | |
dc.contributor.author | Garcia, William Fernando Erazo | |
dc.contributor.author | Gya, Ragnhild | |
dc.contributor.author | Jaroszynska, Francesca | |
dc.contributor.author | Joyce, Blake L | |
dc.contributor.author | Lehman, Rebecca | |
dc.contributor.author | Moerland, Michelangelo Sergio | |
dc.contributor.author | Nesheim-Hauge, Elisabeth | |
dc.contributor.author | Nordås, Linda Hovde | |
dc.contributor.author | Peng, Ahui | |
dc.contributor.author | Ponsac, Claire | |
dc.contributor.author | Seltzer, Lorah | |
dc.contributor.author | Steyn, Christien | |
dc.contributor.author | Sullivan, Megan K | |
dc.contributor.author | Tjendra, Jesslyn | |
dc.contributor.author | Xiao, Yao | |
dc.contributor.author | Zhao, Xiaoxiang | |
dc.contributor.author | Enquist, Brian J | |
dc.date.accessioned | 2021-01-09T03:17:33Z | |
dc.date.available | 2021-01-09T03:17:33Z | |
dc.date.issued | 2020-06-19 | |
dc.identifier.citation | Vandvik, V., Halbritter, A. H., Yang, Y., He, H., Zhang, L., Brummer, A. B., ... & Enquist, B. J. (2020). Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China. Scientific data, 7(1), 1-15. | en_US |
dc.identifier.issn | 2052-4463 | |
dc.identifier.pmid | 32561854 | |
dc.identifier.doi | 10.1038/s41597-020-0529-0 | |
dc.identifier.uri | http://hdl.handle.net/10150/650702 | |
dc.description.abstract | 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 3000-4130m a.s.l. gradient spanning 5.3 degrees 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. center dot type of treatment (e.g in situ warming experiments using an Open Top Chamber) | en_US |
dc.language.iso | en | en_US |
dc.publisher | NATURE PUBLISHING GROUP | en_US |
dc.rights | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/applies to the metadata files associated with this article. | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.title | Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China | en_US |
dc.type | Article | en_US |
dc.identifier.eissn | 2052-4463 | |
dc.contributor.department | Univ Arizona, Dept Ecol & Evolut Biol | en_US |
dc.contributor.department | Univ Arizona, Univ Informat Technol Serv | en_US |
dc.identifier.journal | SCIENTIFIC DATA | en_US |
dc.description.note | Open access journal | en_US |
dc.description.collectioninformation | This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. | en_US |
dc.eprint.version | Final published version | en_US |
dc.source.journaltitle | Scientific data | |
dc.source.volume | 7 | |
dc.source.issue | 1 | |
dc.source.beginpage | 189 | |
dc.source.endpage | ||
refterms.dateFOA | 2021-01-09T03:17:47Z | |
dc.source.country | England |