Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China

Vigdis Vandvik; Aud H. Halbritter; Yan Yang; Hai He; Li Zhang; Alexander B. Brummer; Kari Klanderud; Brian S. Maitner; Sean T. Michaletz; Xiangyang Sun; Richard J. Telford; Genxu Wang; Inge H.J. Althuizen; Jonathan J. Henn; William Fernando Erazo Garcia; Ragnhild Gya; Francesca Jaroszynska; Blake L. Joyce; Rebecca Lehman; Michelangelo Sergio Moerland; Elisabeth Nesheim-Hauge; Linda Hovde Nordås; Ahui Peng; Claire Ponsac; Lorah Seltzer; Christien Steyn; Megan K. Sullivan; Jesslyn Tjendra; Yao Xiao; Xiaoxiang Zhao; Brian J. Enquist

doi:10.1038/s41597-020-0529-0

Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China

Vigdis Vandvik, Aud H. Halbritter, Yan Yang, Hai He, Li Zhang, Alexander B. Brummer, Kari Klanderud, Brian S. Maitner, Sean T. Michaletz, Xiangyang Sun, Richard J. Telford, Genxu Wang, Inge H.J. Althuizen, Jonathan J. Henn, William Fernando Erazo Garcia, Ragnhild Gya, Francesca Jaroszynska, Blake L. Joyce, Rebecca Lehman, Michelangelo Sergio MoerlandElisabeth Nesheim-Hauge, Linda Hovde Nordås, Ahui Peng, Claire Ponsac, Lorah Seltzer, Christien Steyn, Megan K. Sullivan, Jesslyn Tjendra, Yao Xiao, Xiaoxiang Zhao, Brian J. Enquist

Ecology and Evolutionary Biology

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

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.

Original language	English (US)
Article number	189
Journal	Scientific Data
Volume	7
Issue number	1
DOIs	https://doi.org/10.1038/s41597-020-0529-0
State	Published - Dec 1 2020

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

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10.1038/s41597-020-0529-0

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Vandvik, V., Halbritter, A. H., Yang, Y., He, H., Zhang, L., Brummer, A. B., Klanderud, K., Maitner, B. S., Michaletz, S. T., Sun, X., Telford, R. J., Wang, G., Althuizen, I. H. J., Henn, J. J., Garcia, W. F. E., Gya, R., Jaroszynska, F., Joyce, B. L., Lehman, R., ... 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), Article 189. https://doi.org/10.1038/s41597-020-0529-0

Vandvik, V, Halbritter, AH, Yang, Y, He, H, Zhang, L, Brummer, AB, Klanderud, K, Maitner, BS, Michaletz, ST, Sun, X, Telford, RJ, Wang, G, Althuizen, IHJ, Henn, JJ, Garcia, WFE, Gya, R, Jaroszynska, F, Joyce, BL, Lehman, R, Moerland, MS, Nesheim-Hauge, E, Nordås, LH, Peng, A, Ponsac, C, Seltzer, L, Steyn, C, Sullivan, MK, Tjendra, J, Xiao, Y, Zhao, X & Enquist, BJ 2020, 'Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China', Scientific Data, vol. 7, no. 1, 189. https://doi.org/10.1038/s41597-020-0529-0

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title = "Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China",

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.",

author = "Vigdis Vandvik and Halbritter, {Aud H.} and Yan Yang and Hai He and Li Zhang and Brummer, {Alexander B.} and Kari Klanderud and Maitner, {Brian S.} and Michaletz, {Sean T.} and Xiangyang Sun and Telford, {Richard J.} and Genxu Wang and Althuizen, {Inge H.J.} and Henn, {Jonathan J.} and Garcia, {William Fernando Erazo} and Ragnhild Gya and Francesca Jaroszynska and Joyce, {Blake L.} and Rebecca Lehman and Moerland, {Michelangelo Sergio} and Elisabeth Nesheim-Hauge and Nord{\aa}s, {Linda Hovde} and Ahui Peng and Claire Ponsac and Lorah Seltzer and Christien Steyn and Sullivan, {Megan K.} and Jesslyn Tjendra and Yao Xiao and Xiaoxiang Zhao and Enquist, {Brian J.}",

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AU - Vandvik, Vigdis

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AU - Yang, Yan

AU - He, Hai

AU - Zhang, Li

AU - Brummer, Alexander B.

AU - Klanderud, Kari

AU - Maitner, Brian S.

AU - Michaletz, Sean T.

AU - Sun, Xiangyang

AU - Telford, Richard J.

AU - Wang, Genxu

AU - Althuizen, Inge H.J.

AU - Henn, Jonathan J.

AU - Garcia, William Fernando Erazo

AU - Gya, Ragnhild

AU - Jaroszynska, Francesca

AU - Joyce, Blake L.

AU - Lehman, Rebecca

AU - Moerland, Michelangelo Sergio

AU - Nesheim-Hauge, Elisabeth

AU - Nordås, Linda Hovde

AU - Peng, Ahui

AU - Ponsac, Claire

AU - Seltzer, Lorah

AU - Steyn, Christien

AU - Sullivan, Megan K.

AU - Tjendra, Jesslyn

AU - Xiao, Yao

AU - Zhao, Xiaoxiang

AU - Enquist, Brian J.

PY - 2020/12/1

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N2 - 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.

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Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China

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Plant traits and vegetation data from climate warming experiments along an 1100 m elevation gradient in Gongga Mountains, China

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