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基于特征的气候变化对相互作用物种影响的评估。

Trait-Based Assessments of Climate-Change Impacts on Interacting Species.

机构信息

Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany.

Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany.

出版信息

Trends Ecol Evol. 2020 Apr;35(4):319-328. doi: 10.1016/j.tree.2019.12.010. Epub 2020 Jan 24.

Abstract

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.

摘要

植物-动物相互作用在生态系统中至关重要,但在研究气候变化对生物多样性的影响时,往往被忽视。在这里,我们提出了一个基于特征的框架,用于预测相互作用的植物和动物对气候变化的响应。我们区分了气候变化影响生态群落中相互作用物种的三种途径:(i)物种出现和丰度的时空不匹配,(ii)新相互作用的形成和次要灭绝,以及(iii)植物扩散能力的改变。这些途径由三种功能特征介导:响应特征、匹配特征和扩散特征。我们提出,将这些特征纳入预测模型将提高对相互作用物种对气候变化响应的评估。

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