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首页> 外文期刊>Evolution Letters >Evolutionary genomics can improve prediction of species’ responses to climate change
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Evolutionary genomics can improve prediction of species’ responses to climate change

机译：进化基因组学可以改善物种对气候变化的回应的预测

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Global climate change (GCC) increasingly threatens biodiversity through the loss of species, and the transformation of entire ecosystems. Many species are challenged by the pace of GCC because they might not be able to respond fast enough to changing biotic and abiotic conditions. Species can respond either by shifting their range, or by persisting in their local habitat. If populations persist, they can tolerate climatic changes through phenotypic plasticity, or genetically adapt to changing conditions depending on their genetic variability and census population size to allow for de novo mutations. Otherwise, populations will experience demographic collapses and species may go extinct. Current approaches to predicting species responses to GCC begin to combine ecological and evolutionary information for species distribution modelling. Including an evolutionary dimension will substantially improve species distribution projections which have not accounted for key processes such as dispersal, adaptive genetic change, demography, or species interactions. However, eco‐evolutionary models require new data and methods for the estimation of a species' adaptive potential, which have so far only been available for a small number of model species. To represent global biodiversity, we need to devise large‐scale data collection strategies to define the ecology and evolutionary potential of a broad range of species, especially of keystone species of ecosystems. We also need standardized and replicable modelling approaches that integrate these new data to account for eco‐evolutionary processes when predicting the impact of GCC on species' survival. Here, we discuss different genomic approaches that can be used to investigate and predict species responses to GCC. This can serve as guidance for researchers looking for the appropriate experimental setup for their particular system. We furthermore highlight future directions for moving forward in the field and allocating available resources more effectively, to implement mitigation measures before species go extinct and ecosystems lose important functions.
机译：全球气候变化（GCC）通过丧失物种越来越威胁生物多样性，以及整个生态系统的转型。许多物种被GCC的速度挑战，因为它们可能无法快速响应以改变生物和非生物条件。物种可以通过转移它们的范围或持续存在于当地的栖息地来响应。如果群体持续存在，它们可以通过表型可塑性来耐受气候变化，或者根据其遗传变异性和人口普查群体的遗传变异和人口普查群体的遗传变化，以允许缺血的变化。否则，人口将经历人口崩溃，物种可能会灭绝。目前预测GCC物种响应的方法开始结合物种分布建模的生态和进化信息。包括进化尺寸将大大改善物种分布投影，这些分布投影未占诸如分散，适应性遗传变化，人口或物种相互作用的关键过程。然而，生态进化模型需要新的数据和方法来估计物种的自适应潜力，这仅用于少量模型物种。要代表全球生物多样性，我们需要设计大规模的数据收集策略，以确定广泛种类的生态和进化潜力，特别是生态系统的基调物种。我们还需要标准化和可复制的建模方法，将这些新数据集成，以考虑生态进化过程，以考虑GCC对物种生存的影响。在这里，我们讨论可用于调查和预测对GCC的物种反应的不同基因组方法。这可以作为寻找适当的特定系统的适当实验设置的研究人员的指导。我们此外，我们突出了未来的前进方向，以便更有效地分配可用资源，在物种灭绝之前实施缓解措施，生态系统失去重要功能。

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