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 3000–4130 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.

Measurement(s)

leaf growth and development trait • Abundance • leaf area trait • leaf composition trait • leaf morphology trait • Vascular Plant • total biomass yield • climate

Technology Type(s)

balance • visual observation method • Scanner Device • leaf stoichiometry and isotope assays • weather station

Factor Type(s)

plants • temperature • plant functional traits (specific leaf area, leaf dry matter content, leaf carbon content, leaf nitrogen content, leaf size, leaf thickness) • type of treatment (e.g in situ warming experiments using an Open Top Chamber)

Sample Characteristic - Organism

Tracheophyta

Sample Characteristic - Environment

area of sedge- and forb-dominated herbaceous vegetation

Sample Characteristic - Location

Ganzi Tibetan Autonomous Prefecture

Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12033786

Details

Title
Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China
Author
Vandvik Vigdis 1   VIAFID ORCID Logo  ; Halbritter, Aud H 1   VIAFID ORCID Logo  ; Yang, Yan 2   VIAFID ORCID Logo  ; He, Hai 3 ; Zhang, Li 2 ; Brummer, Alexander B 4   VIAFID ORCID Logo  ; Klanderud Kari 5   VIAFID ORCID Logo  ; Maitner, Brian S 6   VIAFID ORCID Logo  ; Michaletz, Sean T 7   VIAFID ORCID Logo  ; Sun, Xiangyang 2 ; Telford, Richard J 8   VIAFID ORCID Logo  ; Wang Genxu 2 ; Althuizen Inge H J 1   VIAFID ORCID Logo  ; Henn, Jonathan J 9   VIAFID ORCID Logo  ; Garcia William Fernando Erazo 8 ; Gya Ragnhild 1 ; Jaroszynska Francesca 1 ; Joyce, Blake L 10 ; Lehman, Rebecca 6 ; Moerland, Michelangelo Sergio 11 ; Nesheim-Hauge, Elisabeth 8   VIAFID ORCID Logo  ; Nordås, Linda Hovde 8 ; Peng Ahui 2   VIAFID ORCID Logo  ; Ponsac Claire 12 ; Seltzer Lorah 6   VIAFID ORCID Logo  ; Steyn Christien 13   VIAFID ORCID Logo  ; Sullivan, Megan K 14   VIAFID ORCID Logo  ; Tjendra Jesslyn 8   VIAFID ORCID Logo  ; Yao, Xiao 2   VIAFID ORCID Logo  ; Zhao Xiaoxiang 2 ; Enquist, Brian J 6   VIAFID ORCID Logo 

1  University of Bergen, Department of Biological Sciences, Bergen, Norway (GRID:grid.7914.b) (ISNI:0000 0004 1936 7443); University of Bergen, Bjerknes Centre for Climate Research, Bergen, Norway (GRID:grid.7914.b) (ISNI:0000 0004 1936 7443) 
2  Chinese Academy of Sciences, Institute of Mountain Hazards and Environment, Chengdu, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
3  Chongqing Normal University, College of Life Sciences, Chongqing, China (GRID:grid.411575.3) (ISNI:0000 0001 0345 927X) 
4  University of California, Department of Computational Medicine and Department of Ecology and Evolutionary Biology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718) 
5  Norwegian University of Life Sciences, Faculty of Environmental Sciences and Natural Resource Management, Ås, Norway (GRID:grid.19477.3c) (ISNI:0000 0004 0607 975X) 
6  University of Arizona, Department of Ecology and Evolutionary Biology, Tucson, USA (GRID:grid.134563.6) (ISNI:0000 0001 2168 186X) 
7  University of British Columbia, Department of Botany and Biodiversity Research Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
8  University of Bergen, Department of Biological Sciences, Bergen, Norway (GRID:grid.7914.b) (ISNI:0000 0004 1936 7443) 
9  University of Wisconsin-Madison, Department of Integrative Biology, WI, USA (GRID:grid.14003.36) (ISNI:0000 0001 2167 3675) 
10  University Information Technology Services, University of Arizona, Tucson, USA (GRID:grid.134563.6) (ISNI:0000 0001 2168 186X) 
11  Royal Botanic Gardens, Kew, Richmond, United Kingdom (GRID:grid.4903.e) (ISNI:0000 0001 2097 4353); University of Reading, School of Biological Sciences, Reading, United Kingdom (GRID:grid.9435.b) (ISNI:0000 0004 0457 9566) 
12  Universidad de La Serena, Departamento de Biología, La Serena, Chile (GRID:grid.19208.32) (ISNI:0000 0001 0161 9268) 
13  Scientific Terrestrial Services, Johannesburg, South Africa (GRID:grid.134563.6) 
14  Yale School of Forestry and Environmental Studies, New Haven, USA (GRID:grid.47100.32) (ISNI:0000000419368710) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-020-0529-0
ProQuest document ID
2489907910
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.