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Functional connectivity and home range inferred at a microgeographic landscape genetics scale in a desert‐dwelling rodent

机译:在沙漠居住的啮齿动物中,以微观地理景观遗传学规模推断功能连通性和住所范围

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Gene flow in animals is limited or facilitated by different features within the landscape matrix they inhabit. The landscape representation in landscape genetics (LG) is traditionally modeled as resistance surfaces (RS), where novel optimization approaches are needed for assigning resistance values that adequately avoid subjectivity. Also, desert ecosystems and mammals are scarcely represented in LG studies. We addressed these issues by evaluating, at a microgeographic scale, the effect of landscape features on functional connectivity of the desert‐dwelling Dipodomys merriami . We characterized genetic diversity and structure with microsatellites loci, estimated home ranges and movement of individuals using telemetry—one of the first with rodents, generated a set of individual and composite environmental surfaces based on hypotheses of variables influencing movement, and assessed how these variables relate to individual‐based gene flow. Genetic diversity and structure results evidenced a family‐induced pattern driven by first‐order‐related individuals, notably determining landscape genetic inferences. The vegetation cover and soil resistance optimized surface (NDVI) were the best‐supported model and a significant predictor of individual genetic distance, followed by humidity and NDVI+humidity. Based on an accurate definition of thematic resolution, we also showed that vegetation is better represented as continuously (vs. categorically) distributed. Hence, with a nonsubjective optimization framework for RS and telemetry, we were able to describe that vegetation cover, soil texture, and climatic variables influence D.?merriami 's functional connectivity at a microgeographic scale, patterns we could further explain based on the home range, habitat use, and activity observed between sexes. We describe the relationship between environmental features and some aspects of D.?merriami ‘s behavior and physiology.
机译:动物所居住的景观矩阵中的不同特征限制或促进了动物中的基因流动。传统上将景观遗传学(LG)中的景观表示建模为阻力面(RS),在此需要新颖的优化方法来分配足以避免主观性的阻力值。此外,LG研究几乎没有代表沙漠生态系统和哺乳动物。我们通过在微观地理范围内评估景观特征对居住在沙漠中的Dipodomys merriami的功能连通性的影响来解决这些问题。我们使用微卫星基因座来表征遗传多样性和结构,使用遥测技术来估计个体的居所范围和个体活动(其中第一类是啮齿动物),并根据影响运动的变量假设生成了一组个体和复合环境表面,并评估了这些变量之间的关系基于个人的基因流。遗传多样性和结构结果证明了由一阶相关个体驱动的家庭诱导模式,尤其是确定景观遗传推论。植被覆盖和土壤阻力优化表面(NDVI)是获得最佳支持的模型,并且是个体遗传距离的重要预测指标,其次是湿度和NDVI +湿度。基于对主题分辨率的准确定义,我们还表明植被可以更好地表示为连续(相对于分类)分布。因此,借助用于RS和遥测的非主观优化框架,我们能够描述植被覆盖度,土壤质地和气候变量在微观地理尺度上影响D.?merriami的功能连通性,我们可以基于家庭进一步解释的模式范围,栖息地使用情况以及两性之间观察到的活动。我们描述了环境特征与D.merriami行为和生理某些方面之间的关系。

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