CDMetaPOP: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics
CDMetaPOP: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics
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DOI：
10.1111/2041-210x.12608
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发表时间：
2017-01-01
影响因子：
6.6
通讯作者：
Dunham, Jason
中科院分区：
文献类型：
--
作者：
Landguth, Erin L.;Bearlin, Andrew;Dunham, Jason
结合景观人口统计学和遗传学模型为解决生态进化应用问题提供了强有力的方法。通过两个例子，我们提出了成本-距离元种群，一个程序来模拟中性和/或选择驱动的基因型随时间的变化，作为基于个体的运动、复杂的空间种群动态和多种不断变化的景观驱动因素的函数。成本-距离元种群通过结合种群生存力分析为景观遗传学问题提供了一种新的工具，同时直接与保护应用相联系。
Combining landscape demographic and genetics models offers powerful methods for addressing questions for eco-evolutionary applications. Using two illustrative examples, we present Cost-Distance Meta-POPulation, a program to simulate changes in neutral and/or selection-driven genotypes through time as a function of individual-based movement, complex spatial population dynamics, and multiple and changing landscape drivers. Cost-Distance Meta-POPulation provides a novel tool for questions in landscape genetics by incorporating population viability analysis, while linking directly to conservation applications.