Botero Carlos A, Weissing Franz J, Wright Jonathan, Rubenstein Dustin R
Initiative for Biological Complexity and the Department of the Interior Southeast Climate Science Center, North Carolina State University, Raleigh, NC 27695; Department of Biology, Washington University in St. Louis, St. Louis, MO 63130;
Centre for Ecological and Evolutionary Studies, University of Groningen, 9747 AG Groningen, The Netherlands;
Proc Natl Acad Sci U S A. 2015 Jan 6;112(1):184-9. doi: 10.1073/pnas.1408589111. Epub 2014 Nov 24.
In an era of rapid climate change, there is a pressing need to understand how organisms will cope with faster and less predictable variation in environmental conditions. Here we develop a unifying model that predicts evolutionary responses to environmentally driven fluctuating selection and use this theoretical framework to explore the potential consequences of altered environmental cycles. We first show that the parameter space determined by different combinations of predictability and timescale of environmental variation is partitioned into distinct regions where a single mode of response (reversible phenotypic plasticity, irreversible phenotypic plasticity, bet-hedging, or adaptive tracking) has a clear selective advantage over all others. We then demonstrate that, although significant environmental changes within these regions can be accommodated by evolution, most changes that involve transitions between regions result in rapid population collapse and often extinction. Thus, the boundaries between response mode regions in our model correspond to evolutionary tipping points, where even minor changes in environmental parameters can have dramatic and disproportionate consequences on population viability. Finally, we discuss how different life histories and genetic architectures may influence the location of tipping points in parameter space and the likelihood of extinction during such transitions. These insights can help identify and address some of the cryptic threats to natural populations that are likely to result from any natural or human-induced change in environmental conditions. They also demonstrate the potential value of evolutionary thinking in the study of global climate change.
在气候变化迅速的时代,迫切需要了解生物体将如何应对环境条件中更快且更不可预测的变化。在此,我们开发了一个统一模型,该模型可预测对环境驱动的波动选择的进化响应,并使用这一理论框架来探索环境周期改变的潜在后果。我们首先表明,由环境变化的可预测性和时间尺度的不同组合所确定的参数空间被划分为不同区域,在这些区域中,单一的响应模式(可逆表型可塑性、不可逆表型可塑性、风险对冲或适应性跟踪)相对于所有其他模式具有明显的选择优势。然后我们证明,尽管这些区域内的重大环境变化可以通过进化来适应,但大多数涉及区域间转变的变化会导致种群迅速崩溃,且常常灭绝。因此,我们模型中响应模式区域之间的边界对应于进化临界点,在这个点上,即使环境参数的微小变化也可能对种群生存能力产生巨大且不成比例的影响。最后,我们讨论了不同的生活史和遗传结构可能如何影响参数空间中临界点的位置以及此类转变期间灭绝的可能性。这些见解有助于识别和应对一些可能因环境条件的任何自然或人为变化而对自然种群造成的潜在威胁。它们还展示了进化思维在全球气候变化研究中的潜在价值。