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Influence of Landscape Features on Spatial Genetic Structure of White-Tailed Deer in Human-Altered Landscapes

机译:景观特征对人为改变景观中白尾鹿空间遗传结构的影响

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Predictive relationships between estimates of functional population connectivity and physical and biotic landscape features can provide important insights into present and future population responses to human-mediated landscape change. Quantification of associations between landscape features and dispersal or genetic surrogates such as gene flow among areas can be particularly challenging for continuously distributed and highly mobile wildlife species. We assessed the relative influence of natural and human-altered landscape features on white-tailed deer (Odocoileus virginianus) spatial genetic structure (SGS) in southern Michigan (USA) using 7 microsatellite markers assayed for 326 adult individuals from 21 contiguous counties (33,284km(2)). We used previously collected telemetry data to quantify probabilities of habitat occupancy and seasonal movements that allowed selection and weighting of landscape features to create habitat suitability indices (HSI). We assigned individuals to groups (n=13) for statistical analyses quantifying relationships between measures of SGS (response variable) with Euclidean distance, least cost distances parameterized using HSI, and presence of natural (rivers) and man-made (roads) barriers to dispersal. Over the entire study area, genetic differentiation was significant (mean F-st=0.019, P<0.001) and increased with increasing inter-group geographic distance (r(2)=0.381; P<0.05). We identified features in the landscape matrix between groups including rivers, high traffic roads, and habitats of intermediate HSI as inhibiting gene flow. Low HSI was associated with low between-group F-st and appeared to facilitate gene flow. Quantification of the relative importance of man-made barriers (roads) and habitat suitability to SGS for white-tailed deer emphasizes the importance of joint use of ecological and genetic analyses in conservation and control efforts for abundant and mobile wildlife species. (c) 2014 The Wildlife Society.
机译:功能性人口连通性的估计值与自然和生物景观特征之间的预测关系可以提供重要的见解,以了解当前和未来的人口对人类介导的景观变化的反应。对于连续分布和高度移动的野生动植物物种而言,量化景观特征与散布或遗传替代物(例如区域之间的基因流)之间的关联可能特别具有挑战性。我们使用7种微卫星标记物对21个连续县(33,284km (2))。我们使用以前收集的遥测数据来量化栖息地占用和季节性移动的概率,从而允许对景观特征进行选择和加权以创建栖息地适宜性指数(HSI)。我们将个人分配给组(n = 13),以进行统计分析,以量化具有欧几里得距离的SGS度量(响应变量),使用HSI参数化的最小成本距离以及存在的自然(河流)和人为(道路)障碍之间的关系分散。在整个研究区域中,遗传分化显着(平均F-st = 0.019,P <0.001),并且随着群体间地理距离的增加而增加(r(2)= 0.381; P <0.05)。我们在包括河流,高流量道路和中度HSI的栖息地在内的各组之间的景观矩阵中确定了可抑制基因流的特征。低HSI与低组间F-st相关,并且似乎促进基因流动。量化人为障碍(道路)和栖息地对白尾鹿的SGS适应性的相对重要性,强调了在丰富和流动的野生动植物物种的保护和控制工作中联合使用生态和遗传分析的重要性。 (c)2014年野生动物协会。

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