干旱
栖息地
抗性(生态学)
植被(病理学)
木本植物
沙帕拉
木质部
生物
色度公差
生态学
生态系统
植物
天蓬
医学
病理
作者
Liang Wei,Chonggang Xu,Steven Jansen,Hang Zhou,Bradley Christoffersen,William T. Pockman,Richard S. Middleton,John D. Marshall,Nate G. McDowell
出处
期刊:Tree Physiology
[Oxford University Press]
日期:2018-12-19
卷期号:39 (5): 767-781
被引量:19
标识
DOI:10.1093/treephys/tpy146
摘要
Woody plants vary in their adaptations to drought and shade. For a better prediction of vegetation responses to drought and shade within dynamic global vegetation models, it is critical to group species into functional types with similar adaptations. One of the key challenges is that the adaptations are generally determined by a large number of plant traits that may not be available for a large number of species. In this study, we present two heuristic woody plant groups that were separated using cluster analysis in a three-dimensional trait-environment space based on three key metrics for each species: mean xylem embolism resistance, shade tolerance and habitat aridity. The two heuristic groups separate these species into tolerators and avoiders. The tolerators either rely on their high embolism resistance to tolerate drought in arid habitats (e.g., Juniperus and Prunus) or rely on high shade tolerance to withstand shaded conditions in wet habitats (e.g., Picea, Abies and Acer). In contrast, all avoiders have low embolism resistance and low shade tolerance. In arid habitats, avoiders tend to minimize catastrophic embolism (e.g., most Pinus species) while in wet habitats, they may survive despite low shade tolerance (e.g., Betula, Populus, Alnus and Salix). Because our approach links traits to the environmental conditions, we expect it could be a promising framework for predicting changes in species composition, and therefore ecosystem function, under changing environmental conditions.
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