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From the Cover: Evolutionary tipping points in the capacity to adapt to environmental change

机译:从封面开始:适应环境变化能力的进化临界点

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摘要

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.
机译: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,更难以预测的变化。在这里,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,并使用此理论框架来探索环境周期变化的潜在后果。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确定的参数空间被划分为不同的区域,在该区域中,单一响应模式(可逆表型可塑性,不可逆表型可塑性,对冲或自适应跟踪)具有明显的选择性比其他所有优势。然后,我们证明,尽管进化可以适应这些区域内的重大环境变化,但涉及区域之间过渡的大多数变化都会导致人口迅速崩溃,并经常灭绝。因此,我们模型中响应模式区域之间的边界对应于进化的临界点,即使环境参数的微小变化也会对种群的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引爆点在参数空间中的位置以及在此类过渡过程中灭绝的可能性。这些见解可以帮助识别和应对自然环境中任何自然或人为变化可能对自然种群造成的隐性威胁。他们还证明了进化思维在全球气候变化研究中的潜在价值。

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