Density-dependent dispersal suggests a genetic measure of habitat suitability
Density-dependent dispersal suggests a genetic measure of habitat suitability
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DOI：
10.1111/j.2007.0030-1299.15568.x
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发表时间：
2007-04-01
期刊：
影响因子：
3.4
通讯作者：
Wilson, Paul J.
中科院分区：
文献类型：
--
作者：
Carr, Denis;Bowman, Jeff;Wilson, Paul J.
最近的研究表明，密度依赖性应该会导致不同适宜性的栖息地之间发生可预测的移动，具体取决于人口密度是增加还是减少。当人口密度增加时，栖息地会按照其适宜性的顺序被填充，从而导致从高适宜性到低适宜性的净流动。当人口密度减少时，相反的情况就会发生。这些模式表明，遗传信息可用于推断栖息地的适宜性，因为基于个体的遗传分配测试允许对迁徙进行高分辨率评估。我们使用复制的景观来研究人口增加期间的渔民（Martes pennanti），并预测应该存在从浅雪地区到深雪地区的个体净流动，因为雪深以前与渔民的健康状况有关。从 35 个不同的景观中对总共 769 名渔民进行了采样，并在 16 个微卫星位点进行了分析。通过分配测试，我们推断出五个遗传群体。通过将 35 个景观中的每一个分配给这五个人口之一，我们能够确定每个景观中移民的比例。与我们的预测一致，移民比例与积雪深度之间存在正相关关系。渔民栖息地适宜性的最佳模型是同时考虑雪深和景观中针叶林比例的模型。我们的研究结果表明，在已知种群趋势的情况下，遗传信息可用于衡量栖息地的适宜性。
Recent research shows that density dependence should result in predictable movements between habitats of different suitability, depending on whether population densities are increasing or decreasing. When population densities are increasing, habitats become filled in order of their suitability, resulting in a net flow from high suitability to low suitability. When populations decrease in density, the reverse can happen. These patterns suggest that genetic information can be used to infer habitat suitability since individual-based genetic assignment tests permit high resolution assessments of migration. We used replicated landscapes to study fishers (Martes pennanti) during a population increase and predicted that there should be a net flow of individuals from areas of shallow to deep snow, since snow depth has previously been linked to fisher fitness. A total of 769 fishers were sampled from 35 different landscapes and profiled at 16 microsatellite loci. From assignment tests, we inferred five genetic populations. By assigning each of the 35 landscapes to one of these five populations, we were able to determine the proportion of immigrants to each. Consistent with our prediction, there was a positive relationship between the proportion of immigrants and snow depth. The best model of fisher habitat suitability was one with both snow depth and the proportion of coniferous forest in landscapes. Our findings suggest that where population trend is known, genetic information can be used to measure habitat suitability.