Landscape genetics of high mountain frog metapopulations
Landscape genetics of high mountain frog metapopulations
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DOI：
10.1111/j.1365-294x.2010.04723.x
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发表时间：
2010-09
影响因子：
4.9
通讯作者：
M. Murphy;R. Dezzani;D. Pilliod;Andrew Storfer
中科院分区：
文献类型：
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作者：
M. Murphy;R. Dezzani;D. Pilliod;Andrew Storfer
解释栖息地之间的功能连接对于理解集合种群动态和物种生态学至关重要。景观遗传学主要集中在阐明观测之间的生态特征如何影响基因流。然而，功能的连接，可能是这两个站点之间（景观阻力）景观特征和现场（斑块质量）景观过程，可以使用网络模型捕获的结果。我们测试假设的功能连接，包括站点之间和站点景观过程中的集合种群的哥伦比亚斑点蛙（蛙luteiventris）采用一种新的理由重力模型景观遗传学（8个微卫星位点，37个站点，n = 441）。重力模型主要用于交通和经济地理学，是一种独特的方法，因为流动（例如基因流动）被解释为三个基本组成部分的函数：站点之间的距离，生产/吸引力（例如现场景观过程）和阻力（例如站点之间的景观过程）。该研究系统包含一个营养贫乏的高山湖泊网络，我们假设生长季节短，地点之间的复杂地形限制R。黄腹鱼基因流此外，我们假设生产的后代是有限的繁殖地点的特点，如引进的掠食性鱼类和固有的网站生产力。我们发现R。luteiventris连通性与站点之间的距离，捕食性鱼类的存在（在站点）和地形复杂性（站点之间）呈负相关。相反，网站生产力（测量热负荷指数，在网站）和生长季节（测量无霜期网站之间）与基因流呈正相关。捕食的负面影响和积极影响的网站生产力，在音乐会与瓶颈测试，支持源库动态的存在。总之，重力模型提供了一个强大的新的建模方法，研究了广泛的基础和应用问题的景观遗传学。
Explaining functional connectivity among occupied habitats is crucial for understanding metapopulation dynamics and species ecology. Landscape genetics has primarily focused on elucidating how ecological features between observations influence gene flow. Functional connectivity, however, may be the result of both these between‐site (landscape resistance) landscape characteristics and at‐site (patch quality) landscape processes that can be captured using network based models. We test hypotheses of functional connectivity that include both between‐site and at‐site landscape processes in metapopulations of Columbia spotted frogs (Rana luteiventris) by employing a novel justification of gravity models for landscape genetics (eight microsatellite loci, 37 sites, n = 441). Primarily used in transportation and economic geography, gravity models are a unique approach as flow (e.g. gene flow) is explained as a function of three basic components: distance between sites, production/attraction (e.g. at‐site landscape process) and resistance (e.g. between‐site landscape process). The study system contains a network of nutrient poor high mountain lakes where we hypothesized a short growing season and complex topography between sites limit R. luteiventris gene flow. In addition, we hypothesized production of offspring is limited by breeding site characteristics such as the introduction of predatory fish and inherent site productivity. We found that R. luteiventris connectivity was negatively correlated with distance between sites, presence of predatory fish (at‐site) and topographic complexity (between‐site). Conversely, site productivity (as measured by heat load index, at‐site) and growing season (as measured by frost‐free period between‐sites) were positively correlated with gene flow. The negative effect of predation and positive effect of site productivity, in concert with bottleneck tests, support the presence of source–sink dynamics. In conclusion, gravity models provide a powerful new modelling approach for examining a wide range of both basic and applied questions in landscape genetics.