Division of Biology, Imperial College London, Silwood Park, Ascot, SL5 7PY, UK.
Trends Ecol Evol. 2013 Mar;28(3):143-8. doi: 10.1016/j.tree.2012.07.021. Epub 2012 Sep 1.
Most population-level studies of eco-evolutionary dynamics assume that evolutionary change occurs in response to ecological change and vice versa. However, a growing number of papers report simultaneous ecological and evolutionary change, suggesting that the eco-evolutionary consequences of environmental change for populations can only be fully understood through the simultaneous analysis of statistics used to describe both ecological and evolutionary dynamics. Here we argue that integral projection models (IPM), and matrix approximations of them, provide a powerful approach to integrate population ecology, life history theory, and evolution. We discuss key questions in population biology that can be examined using these models, the answers to which are essential for a general, population-level understanding of eco-evolutionary change.
大多数关于生态进化动态的群体水平研究都假设进化变化是对生态变化的响应，反之亦然。然而，越来越多的论文报告了同时发生的生态和进化变化，这表明只有通过同时分析用于描述生态和进化动态的统计数据，才能充分了解环境变化对种群的生态进化后果。在这里，我们认为积分投影模型（IPM）及其矩阵近似提供了一种将种群生态学、生活史理论和进化结合起来的强大方法。我们讨论了使用这些模型可以研究的种群生物学中的关键问题，这些问题的答案对于全面了解群体水平的生态进化变化是必不可少的。
