학술논문
Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China.
Document Type
Academic Journal
Author
Vandvik V; Department of Biological Sciences, University of Bergen, Bergen, Norway. vigdis.vandvik@uib.no.; Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway. vigdis.vandvik@uib.no.; Halbritter AH; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.; Yang Y; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China. yyang@imde.ac.cn.; He H; College of Life Sciences, Chongqing Normal University, Chongqing, China.; Zhang L; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.; Brummer AB; Department of Computational Medicine and Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, USA.; Klanderud K; Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway.; Maitner BS; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.; Michaletz ST; Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, Canada.; Sun X; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.; Telford RJ; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Wang G; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.; Althuizen IHJ; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.; Henn JJ; Department of Integrative Biology, University of Wisconsin-Madison, WI, USA.; Garcia WFE; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Gya R; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.; Jaroszynska F; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.; Joyce BL; University Information Technology Services, University of Arizona, Tucson, AZ, USA.; Lehman R; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.; Moerland MS; Royal Botanic Gardens, Kew, Richmond, United Kingdom.; School of Biological Sciences, University of Reading, Reading, United Kingdom.; Nesheim-Hauge E; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Nordås LH; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Peng A; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.; Ponsac C; Departamento de Biología, Universidad de La Serena, La Serena, Chile.; Seltzer L; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.; Steyn C; Scientific Terrestrial Services, Johannesburg, South Africa.; Sullivan MK; Yale School of Forestry and Environmental Studies, New Haven, CT, USA.; Tjendra J; Department of Biological Sciences, University of Bergen, Bergen, Norway.; Xiao Y; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.; Zhao X; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.; Enquist BJ; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA. benquist@email.arizona.edu.
Source
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Subject
Language
English
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.