期刊
TRENDS IN ECOLOGY & EVOLUTION
卷 35, 期 4, 页码 319-328出版社
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tree.2019.12.010
关键词
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资金
- German Research Foundation [SCHL 1934/3-1, SCHL 1934/1-3, SCHL 1934/2-3, NE 1863/3-1, BO 1221/16-3, DE 2754/1-1, FR 3246/2-2, HO 3952/3-1]
- Alexander von Humboldt Foundation
- University of Amsterdam
- Faculty Research Cluster 'Global Ecology'
- Robert Bosch Foundation (bayklif)
- Robert Bosch Foundation
Plant-animal interactions are fundamentally important in ecosystems, but have often been ignored by studies of climate-change impacts on biodiversity. Here, we present a trait-based framework for predicting the responses of interacting plants and animals to climate change. We distinguish three pathways along which climate change can impact interacting species in ecological communities: (i) spatial and temporal mismatches in the occurrence and abundance of species, (ii) the formation of novel interactions and secondary extinctions, and (iii) alterations of the dispersal ability of plants. These pathways are mediated by three kinds of functional traits: response traits, matching traits, and dispersal traits. We propose that incorporating these traits into predictive models will improve assessments of the responses of interacting species to climate change.
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