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Modelling space use and dispersal of mammals in real landscapes: a tool for conservation

机译:模拟真实景观中哺乳动物的空间利用和传播:一种保护工具

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Aim To explore the usefulness of Spatially Explicit Population Models (SEPMs), incorporating dispersal, as tools for animal conservation, as illustrated by the contrasting cases of four British mammals. Methods For each of the four species (American mink, Mustela vison, pine marten, Martes martes, dormouse, Muscardinus avellanarius and water vole, Arvicola terrestris) a spatial dynamics model was developed based on an integrated geographical information system (GIS) population model that linked space use to the incidence of the species. Each model had, first, a GIS, which stored environmental, habitat and animal population information, and secondly, an individual-based population dynamics module, which simulated home range formation, individual life histories and dispersal within the GIS-held landscape. Results The four module illustrated different interactions between species life-history variables and the landscape, particularly with respect to dispersal. As water voles and dormice occupy home ranges that are small relative to blocks of their habitat, they were most effectively modelled in terms of the dynamics of local populations within habitat blocks but linked by dispersal. In contrast, because the home ranges of American mink and pine marten are large relative to blocks of habitat, they were best modelled as individuals moving through a landscape of more or less useful patches of habitat. For the water vole, the most significant predictors of population size were the carrying capacity of each habitat and the annual number of litters. For the dormouse, the likelihood of catastrophe and the upper limit to dispersal movement were the key variables determining persistence. Adult morality and home-range size were the only significant partial correlates of total population size for the American mink. Adult mortality was also a significant correlate of total population size in the pine marten, as were litter size and juvenile mortality. In neither the marten nor the mink was dispersal distance a significant factor in determining their persistence in the landscape. Main conclusions At a landscape scale it is difficult to measure animal distributions directly and yet conservation planning often necessitates knowledge of where, and in what numbers, animals are found, and how their distributions will be affected by interventions. SEPMs offer a useful tool for predicting this, and for refining conservation plants before irreversible decisions are taken in practice.
机译:目的探索空间显性种群模型(SEPM)的实用性,将分散作为动物保护的工具,如四种英国哺乳动物的对比案例所示。方法针对四种水貂(美洲水貂,鼬水貂,松貂,貂貂,睡鼠,Muscardinus avellanarius和水田鼠,Arvicola terrestris),建立基于综合地理信息系统(GIS)种群模型的空间动力学模型,将空间利用与物种的发生联系起来。每个模型都有一个GIS,用于存储环境,栖息地和动物种群信息,其次,是一个基于个体的种群动态模块,该模块可以模拟家庭范围的形成,个体的生活史以及在GIS所掌握的景观中的分散。结果这四个模块说明了物种生活史变量与景观之间的不同相互作用,特别是在分散方面。由于水田鼠和栖息地的栖息地相对于其栖息地的面积较小,因此,根据栖息地区域内本地人口的动态,它们是最有效的建模方法,但它们通过扩散相互联系。相比之下,由于美国貂皮和松貂的家园范围相对于栖息地块而言较大,因此最好将其建模为个体在或多或少有用的栖息地景观中移动。对于水田鼠来说,人口数量的最重要预测指标是每个生境的承载能力和每年产仔数。对于睡鼠来说,灾难的可能性和分散运动的上限是决定持久性的关键变量。成人的道德和家庭范围的大小是美国水貂总人口大小中唯一重要的部分相关因素。成年死亡率也是松貂总人口规模的显着相关因素,其产仔数和少年死亡率也是如此。在貂和水貂中,分散距离都不是决定其在景观中持久性的重要因素。主要结论在景观尺度上,很难直接测量动物分布,但是保护规划通常需要知道在何处,发现多少动物,以及干预将如何影响它们的分布。 SEPM提供了一个有用的工具来预测此情况,并在实践中做出不可逆转的决策之前提炼保护植物。

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