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首页> 外文期刊>Landscape Ecology >The influence of landscape characteristics and home-range size on the quantification of landscape-genetics relationships. (Special Issue: Landscape connectivity analysis for conservation: insights from combining new methods with ecological and genetic data.)
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The influence of landscape characteristics and home-range size on the quantification of landscape-genetics relationships. (Special Issue: Landscape connectivity analysis for conservation: insights from combining new methods with ecological and genetic data.)

机译：景观特征和家庭范围大小对景观与遗传关系定量化的影响。 （特刊：用于保护的景观连通性分析：将新方法与生态和遗传数据相结合得出的见解。）

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摘要

A common approach used to estimate landscape resistance involves comparing correlations of ecological and genetic distances calculated among individuals of a species. However, the location of sampled individuals may contain some degree of spatial uncertainty due to the natural variation of animals moving through their home range or measurement error in plant or animal locations. In this study, we evaluate the ways that spatial uncertainty, landscape characteristics, and genetic stochasticity interact to influence the strength and variability of conclusions about landscape-genetics relationships. We used a neutral landscape model to generate 45 landscapes composed of habitat and non-habitat, varying in percent habitat, aggregation, and structural connectivity (patch cohesion). We created true and alternate locations for 500 individuals, calculated ecological distances (least-cost paths), and simulated genetic distances among individuals. We compared correlations between ecological distances for true and alternate locations. We then simulated genotypes at 15 neutral loci and investigated whether the same influences could be detected in simple Mantel tests and while controlling for the effects of isolation-by-distance using the partial Mantel test. Spatial uncertainty interacted with the percentage of habitat in the landscape, but led to only small reductions in correlations. Furthermore, the strongest correlations occurred with low percent habitat, high aggregation, and low to intermediate levels of cohesion. Overall genetic stochasticity was relatively low and was influenced by landscape characteristics.
机译：用于估计景观抗性的常用方法包括比较物种个体之间计算的生态距离和遗传距离的相关性。但是，由于动物在其家园范围内移动的自然变化或动植物位置的测量误差，被采样个体的位置可能包含一定程度的空间不确定性。在这项研究中，我们评估空间不确定性，景观特征和遗传随机性相互作用的方式，以影响有关景观与遗传关系的结论的强度和变异性。我们使用中性景观模型生成了45个由栖息地和非栖息地组成的景观，其栖息地百分比，聚集度和结构连通性（斑块凝聚力）各不相同。我们为500个个体创建了真实的和替代的位置，计算了生态距离（最小成本路径），并模拟了个体之间的遗传距离。我们比较了真实位置和替代位置的生态距离之间的相关性。然后，我们在15个中性位点模拟了基因型，并调查了是否可以在简单的Mantel测试中以及在使用部分Mantel测试控制按距离隔离的影响时检测到相同的影响。空间不确定性与景观中栖息地的百分比相互作用，但仅导致相关性的小幅下降。此外，最强的相关性发生在栖息地百分比低，聚集度高以及内聚力水平低到中等的情况下。总体遗传随机性相对较低，并且受景观特征的影响。

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