Am Nat. 2022 Sep;200(3):345-372. doi: 10.1086/720439. Epub 2022 Jul 21.
AbstractOur understanding of the evolution of quantitative traits in nature is still limited by the challenge of including realistic trait distributions in the context of frequency-dependent selection and ecological feedbacks. We extend to class-structured populations a recently introduced "oligomorphic approximation," which bridges the gap between adaptive dynamics and quantitative genetics approaches and allows for the joint description of the dynamics of ecological variables and of the moments of multimodal trait distributions. Our theoretical framework allows us to analyze the dynamics of populations composed of several morphs and structured into distinct classes (e.g., age, size, habitats, infection status, and species). We also introduce a new approximation to simplify the eco-evolutionary dynamics using reproductive values. We illustrate the effectiveness of this approach by applying it to the important conceptual case of two-habitat migration-selection models. In particular, we show that our approach allows us to predict both the long-term evolutionary end points and the short-term transient dynamics of the eco-evolutionary process, including fast evolution regimes. We discuss the theoretical and practical implications of our results and sketch perspectives for future work.
摘要
我们对自然中数量性状进化的理解仍然受到在频率依赖选择和生态反馈的背景下纳入现实性状分布的挑战的限制。我们将一种新的“寡态近似”扩展到了结构化种群中，这种近似方法弥合了适应性动态和数量遗传学方法之间的差距，并且可以同时描述生态变量的动态和多峰性状分布的矩。我们的理论框架允许我们分析由几个形态组成的种群的动态，这些种群被结构化分为不同的类别（例如，年龄、大小、栖息地、感染状态和物种）。我们还引入了一种新的近似方法，使用生殖值来简化生态进化动态。我们通过将其应用于两个栖息地迁移选择模型的重要概念案例来展示该方法的有效性。特别是，我们表明，我们的方法可以预测生态进化过程的长期进化终点和短期瞬态动态，包括快速进化阶段。我们讨论了我们的结果的理论和实际意义，并概述了未来工作的前景。
