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题名: A novel approach for modelling vegetation distributions and analysing vegetation sensitivity through trait-climate relationships in China
作者: YanzhengYang1, 3; Qiuan Zhu1; Changhui Peng1, 2; Han Wang1; Wei Xue1; Guanghui Lin3; Zhongming Wen1; Jie Chang4; Meng Wang1; Guobin Liu1; Shiqing Li1
刊名: SCIENTIFIC REPORTS
出版日期: 2016
期号: 6, 页码:1-11
DOI: 10.1038/srep24110
通讯作者: Qiuan Zhu
文章类型: Article
英文摘要: Increasing evidence indicates that current dynamic global vegetation models (DGVMs) have suffered
from insufficient realism and are difficult to improve, particularly because they are built on plant
functional type (PFT) schemes. Therefore, new approaches, such as plant trait-based methods,
are urgently needed to replace PFT schemes when predicting the distribution of vegetation and
investigating vegetation sensitivity. As an important direction towards constructing next-generation
DGVMs based on plant functional traits, we propose a novel approach for modelling vegetation
distributions and analysing vegetation sensitivity through trait-climate relationships in China. The
results demonstrated that a Gaussian mixture model (GMM) trained with a LMA-Nmass-LAI data
combination yielded an accuracy of 72.82% in simulating vegetation distribution, providing more
detailed parameter information regarding community structures and ecosystem functions. The new
approach also performed well in analyses of vegetation sensitivity to different climatic scenarios.
Although the trait-climate relationship is not the only candidate useful for predicting vegetation
distributions and analysing climatic sensitivity, it sheds new light on the development of nextgeneration trait-based DGVMs.

收录类别: SCI
WOS记录号: WOS:000373589800001
通讯作者邮箱: qiuan.zhu@gmail.com
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.iswc.ac.cn/handle/361005/7812
Appears in Collections:水保所科研产出--SCI_2016--SCI

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作者单位: 1.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi, China
2.Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, Montreal, Canada
3.Center for Earth System Science, Tsinghua University, Beijing, 100084, China
4.College of Life Sciences, Zhejiang University, Hangzhou, 310058, China

Recommended Citation:
YanzhengYang,Qiuan Zhu,Changhui Peng,et al. A novel approach for modelling vegetation distributions and analysing vegetation sensitivity through trait-climate relationships in China[J]. SCIENTIFIC REPORTS,2016(6):1-11.
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