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捕食者群落内的竞争排斥会影响受威胁猎物物种的分布。

Competitive exclusion within the predator community influences the distribution of a threatened prey species.

机构信息

Novia University of Applied Sciences, Raseborgsvägen 9, FI-10600 Ekends, Finland.

出版信息

Ecology. 2012 Aug;93(8):1802-8. doi: 10.1890/12-0285.1.

Abstract

While much effort has been made to quantify how landscape composition influences the distribution of species, the possibility that geographical differences in species interactions might affect species distributions has received less attention. Investigating a predator-prey setting in a boreal forest ecosystem, we empirically show that large-scale differences in the predator community structure and small-scale competitive exclusion among predators affect the local distribution of a threatened forest specialist more than does landscape composition. Consequently, even though the landscape parameters affecting Siberian flying squirrel (Pteromys volans) distribution (prey) did not differ between nest sites of the predators Northern Goshawks (Accipiter gentilis) and Ural Owls (Strix uralensis), flying squirrels were heterospecifically attracted by goshawks in a region where both predator species were present. No such effect was found in another region where Ural Owls were absent. These results provide evidence that differences in species interactions over large spatial scales may be a major force influencing the distribution and abundance patterns of species. On the basis of these findings, we suspect that subtle species interactions might be a central reason why landscape models constructed to predict species distributions often fail when applied to wider geographical scales.

摘要

虽然人们已经付出了很大努力来量化景观组成如何影响物种的分布,但物种相互作用的地理差异可能影响物种分布的可能性却受到较少关注。在北方森林生态系统中对捕食者-猎物系统进行调查后,我们实证表明,在大尺度上,捕食者群落结构的差异以及捕食者之间的小规模竞争排斥,比景观组成更能影响受威胁森林专家的局部分布。因此,即使影响(猎物)飞鼠分布的景观参数(猎物)在北方游隼(Accipiter gentilis)和乌林鸮(Strix uralensis)的巢位点之间没有差异,在这两种捕食者都存在的区域,飞鼠仍会被游隼吸引。在另一个没有乌林鸮的区域则没有发现这种影响。这些结果提供了证据,表明大空间尺度上物种相互作用的差异可能是影响物种分布和丰度模式的主要力量。基于这些发现,我们怀疑微妙的物种相互作用可能是景观模型构建来预测物种分布时,在应用于更广泛的地理尺度时经常失败的一个核心原因。

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