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Can occupancy patterns be used to predict distributions in widely separated geographic regions?

机译:可以使用占用模式来预测在广泛分离的地理区域中的分布吗?

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Occupancy models, that describe the presence and absence patterns of a species in a given area, are increasingly being used to predict the occurrence of the species in unsurveyed sites, as an aid to conservation planning. In this paper, we consider whether conclusions about local distributions derived from one landscape can be extrapolated to others. We found that habitat patchiness influenced the distribution and abundance of the host-specific moth Wheeleria spilodactylus in a similar way in two landscapes widely separated geographically. In both geographic regions, the spatial location (positive effect of connectivity), and quantity of resource (positive effect of host plant density) increased the likelihood that the moth would be present, consistent with the expectations of metapopulation dynamics. Though some biological attributes of the species appeared to be slightly different, including population density and the timing of the life cycle (phenology), occupancy patterns in one landscape accurately predict occupancy in the other landscape. Our results suggest that it maybe possible to make predictions from one landscape to another, even when the landscapes are widely separated.
机译:描述特定区域中某种物种的存在和不存在模式的占用模型越来越多地用于预测未调查地点物种的发生,以帮助进行保护规划。在本文中,我们考虑是否可以将关于一种景观的局部分布的结论外推到其他景观。我们发现,在两个地理分布广泛的景观中,栖息地的斑块状分布以相似的方式影响了寄主特有的轮纹夜蛾的分布和丰度。在这两个地理区域中,空间位置(连通性的正效应)和资源数量(寄主植物密度的正效应)增加了蛾子出现的可能性,这与对种群动态的期望相一致。尽管该物种的某些生物学属性似乎略有不同,包括种群密度和生命周期的时间(物候学),但是一个景观中的占用模式可以准确预测另一景观中的占用。我们的结果表明,即使在景观被广泛分离的情况下,也可以对一个景观进行预测。

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