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Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry

机译:带有近代符号的同类森林捕食者对资源的三维划分

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摘要

Coexistence of ecologically similar species can be maintained by partitioning along one or more niche axes. Three-dimensional structural complexity is central to facilitating resource partitioning between many forest species, but is underrepresented in field-based studies. We examined resource selection by sympatric northern spotted owls (Strix occidentalis caurina), a threatened species under the US Endangered Species Act, and nonnative barred owls (S. varia) in western Oregon, USA to explore the relative importance of canopy heterogeneity, vertical complexity of forest, and abiotic features to resource selection and identify potential differences that may facilitate long-term coexistence. We predicted that within home range selection of understory densities, measured with airborne lidar, would differ between species based on proportional differences in arboreal and terrestrial prey taken by each owl species. We used discrete choice models and telemetry data from 41 spotted owls and 38 barred owls monitored during 2007–2009 and 2012–2015. Our results suggested that while both species used tall canopy areas more often than low canopy areas, spotted owls were more commonly found in areas with lower tree cover, more developed understory, and steeper slopes. This is the first evidence of fine-scale partitioning based on structural forest properties by northern spotted owls and barred owls.
机译:生态相似物种的共存可以通过沿一个或多个利基轴分配来维持。三维结构的复杂性对于促进许多森林物种之间的资源分配至关重要,但是在基于实地的研究中代表性不足。我们研究了同伴北部斑点猫头鹰(Strix occidentalis caurina)(根据《美国濒危物种法》受威胁的物种)和美国俄勒冈州西部的非本地条纹猫头鹰(S. varia)的资源选择,以探讨冠层异质性,垂直复杂性的相对重要性森林和非生物特征来进行资源选择,并确定可能促进长期共存的潜在差异。我们预测,在室内范围内,根据机载激光雷达测量的林下密度的选择,将根据每个猫头鹰物种在树栖和陆地猎物上的比例变化而在物种之间有所不同。我们使用了离散选择模型和遥测数据,这些遥测数据来自于2007–2009年和2012–2015年间监测的41只斑点猫头鹰和38只条纹猫头鹰。我们的研究结果表明,虽然这两种物种使用高树冠的地区要比低树冠的地区更多,但是在树木覆盖率较低,林下植被发达和斜坡较陡的地区更常见斑点猫头鹰。这是北部斑点猫头鹰和条纹猫头鹰根据森林结构性质进行精细规模划分的第一个证据。

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