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Multiscale landscape genetics of American marten at their southern range periphery

机译:美国南方围场南方田园貂的多尺度风景遗传学

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American marten (Martes americana) are a conservation priority in many forested regions of North America. Populations are fragmented at the southern edge of their distribution due to suboptimal habitat conditions. Facilitating gene flow may improve population resilience through genetic and demographic rescue. We used a multiscale approach to estimate the relationship between genetic connectivity and landscape characteristics among individuals at three scales in the northeastern United States: regional, subregional, and local. We integrated multiple modeling techniques and identified top models based on consensus. Top models were used to parameterize resistance surfaces at each scale, and circuit theory was used to identify potential movement corridors. Regional gene flow was affected by forest cover, elevation, developed land cover, and slope. At subregional and local scales, the effects were site specific and included subsets of temperature, elevation, developed land cover, and slope. Developed land cover significantly affected gene flow at each scale. At finer scales, lack of variance in forest cover may have limited the ability to detect a relationship with gene flow. The effect of slope on gene flow was positive or negative, depending on the site examined. Occupancy probability was a relatively poor predictor, and we caution its use as a proxy for landscape resistance. Our results underscore the importance of replication and multiscale approaches in landscape genetics. Climate warming and landscape conversion may reduce the genetic connectivity of marten populations in the northeastern United States, and represent the primary challenges to marten conservation at the southern periphery of their range.
机译:美国貂(Martes Americana)是北美许多森林地区的保护优先考虑。由于次优的栖息地条件,人群在分布的南部分散。促进基因流动可以通过遗传和人口救援改善人口恢复性。我们使用了多尺度方法来估计在美国东北部的三级遗传连通性和景观特征之间的关系:区域,次区域和地方。我们集成了多种建模技术和基于共识的识别顶级模型。顶级模型用于参数化在每个刻度的电阻表面,并且电路理论用于识别电位运动走廊。区域基因流动受森林覆盖,海拔,发达的陆地覆盖和坡度的影响。在次区域和本地尺度上,效果是特定的,包括温度,高度,发达的陆地覆盖和坡度的子集。开发的土地覆盖在每种规模上显着影响基因流动。在更精细的尺度上,森林覆盖的缺乏差异可能限制检测与基因流动关系的能力。斜率对基因流动的影响是阳性的或阴性的,这取决于所检查的位点。占用概率是一种相对较差的预测因子,我们注意其用作景观阻力的代理。我们的结果强调了复制和多尺度方法在景观遗传学中的重要性。气候变暖和景观转换可能会降低美国东北部门貂的遗传连通性,并代表南方周边貂保护的主要挑战。

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