Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA; Co-first authors.
Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA; Department of Biology, Agnes Scott College, Decatur, GA 30030, USA; Co-first authors.
Trends Ecol Evol. 2019 Jun;34(6):497-501. doi: 10.1016/j.tree.2019.03.009. Epub 2019 May 9.
We propose an application of network analysis to determine which traits and behaviors predict fertilizations within and between populations. This approach quantifies how reproductive behavior between individuals shapes patterns of selection and gene flow, filling an important gap in our understanding of the connection between evolutionary processes and emergent patterns.
我们提出了一种网络分析的应用，以确定哪些特征和行为可以预测种群内和种群间的受精。这种方法量化了个体之间的繁殖行为如何塑造选择和基因流动的模式，填补了我们对进化过程和新兴模式之间联系的理解的一个重要空白。
