Department of Ecology and Evolutionary Biology, University of Connecticut, 75 North Eagleville Road, Storrs, CT 06269, USA.
Department of Ecology and Evolutionary Biology, University of Connecticut, 75 North Eagleville Road, Storrs, CT 06269, USA; Center of Biological Risk, University of Connecticut, Storrs, CT 06269, USA.
Trends Ecol Evol. 2017 Oct;32(10):786-800. doi: 10.1016/j.tree.2017.07.012. Epub 2017 Aug 24.
Climate change is altering life at multiple scales, from genes to ecosystems. Predicting the vulnerability of populations to climate change is crucial to mitigate negative impacts. We suggest that regional patterns of spatial and temporal climatic variation scaled to the traits of an organism can predict where and why populations are most vulnerable to climate change. Specifically, historical climatic variation affects the sensitivity and response capacity of populations to climate change by shaping traits and the genetic variation in those traits. Present and future climatic variation can affect both climate change exposure and population responses. We provide seven predictions for how climatic variation might affect the vulnerability of populations to climate change and suggest key directions for future research.
气候变化正在多个尺度上改变生命,从基因到生态系统。预测种群对气候变化的脆弱性对于减轻负面影响至关重要。我们认为,与生物体特征相匹配的区域时空气候变化模式可以预测种群在何处以及为何最容易受到气候变化的影响。具体而言,历史气候变化通过塑造特征和这些特征的遗传变异来影响种群对气候变化的敏感性和响应能力。当前和未来的气候变化会同时影响气候变化的暴露程度和种群的响应。我们提出了七种关于气候变异可能如何影响种群对气候变化脆弱性的预测,并为未来的研究提出了关键方向。