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首页> 外文期刊>ICES Journal of Marine Science >Integrating population genomics and biophysical models towards evolutionary-based fisheries management
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Integrating population genomics and biophysical models towards evolutionary-based fisheries management

机译：将种群基因组学和生物物理模型整合到基于进化的渔业管理中

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摘要

Overfishing and rapid environmental shifts pose severe challenges to the resilience and viability of marine fish populations. To develop and implement measures that enhance species' adaptive potential to cope with those pressures while, at the same time, ensuring sustainable exploitation rates is part of the central goal of fisheries management. Here, we argue that a combination of biophysical modelling and population genomic assessments offer ideal management tools to define stocks, their physical connectivity and ultimately, their short-term adaptive potential. To date, biophysical modelling has often been confined to fisheries ecology whereas evolutionary hypotheses remain rarely considered. When identified, connectivity patterns are seldom explored to understand the evolution and distribution of adaptive genetic variation, a proxy for species' evolutionary potential. Here, we describe a framework that expands on the conventional seascape genetics approach by using biophysical modelling and population genomics. The goals are to identify connectivity patterns and selective pressures, as well as putative adaptive variants directly responding to the selective pressures and, ultimately, link both to define testable hypotheses over species response to shifting ecological conditions and overexploitation.
机译：过度捕捞和快速的环境变化给海水鱼类种群的复原力和生存能力提出了严峻挑战。制定和实施措施来增强物种的适应潜力，以应对这些压力，同时确保可持续的开发利用率是渔业管理中心目标的一部分。在这里，我们认为生物物理模型与种群基因组评估相结合可提供理想的管理工具来定义种群，种群的物理连通性以及最终的短期适应潜力。迄今为止，生物物理模型通常仅限于渔业生态学，而进化假说仍然很少被考虑。识别后，很少探索连通性模式来了解适应性遗传变异的演变和分布，而适应遗传变异是物种进化潜力的替代物。在这里，我们描述了一个框架，该框架通过使用生物物理模型和种群基因组学扩展了传统的海景遗传学方法。目标是确定连通性模式和选择压力，以及直接响应选择压力的推定适应性变体，并最终将两者联系起来，以定义关于物种对生态条件变化和过度开发的响应的可检验假说。

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