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.; Erazo Garcia, William Fernando; 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.
Journal article, Peer reviewed
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Original versionScientific Data. 2020, 7, 189 10.1038/s41597-020-0529-0
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.