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首页> 外文期刊>Journal of Ornithology >Factors affecting breeding habitat selection in a cliff-nesting peregrine Falco peregrinus population
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Factors affecting breeding habitat selection in a cliff-nesting peregrine Falco peregrinus population

机译：悬崖游per游al游eg种群中影响繁殖栖息地选择的因素

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We studied factors affecting breeding habitat selection in a population of cliff-nesting peregrines Falco peregrinus across multiple spatial levels (cliff site, cliff context and land-use of the surrounding landscape), over a 2,100 km2 study area in the Alps (Italy and Switzerland). We detected 30 breeding pairs (density: 1.43 territorial pairs/100 km2), whose territories were uniformly distributed over the study area. We compared 15 habitat features characterising occupied cliffs and 30 randomly selected unoccupied cliffs by means of stepwise forward logistic regression and hierarchical partitioning. The logistic regression analysis showed that occupied cliffs were longer (horizontal length), steeper, and had a greater extension of urban areas in the surrounding landscape compared to non-occupied cliffs. The model had a discrimination ability of 0.95. Hierarchical partitioning indicated that the logistic regression model was appropriate. Neither the distance of cliffs to the nearest site occupied by a potential competitor and predator, the eagle owl Bubo bubo, which occurred at a low density (0.67 pairs/100 km2), nor the distance to the nearest site occupied by peregrines had any effect on the cliff suitability model. Therefore, habitat selection in cliff-nesting peregrines was mainly influenced by cliff site features and surrounding landscape characteristics, whereas the proximity to conspecifics and to an intraguild predator had no apparent effects on peregrine settlement in our study population.
机译：在阿尔卑斯山2,100 km2 研究区中，我们研究了在多个空间水平（悬崖遗址，悬崖背景和周围景观的土地利用）上的悬崖嵌套游eg游F游population种群中影响繁殖栖息地选择的因素。 （意大利和瑞士）。我们检测了30个繁殖对（密度：1.43个领土对/ 100 km2 ），它们的领土在研究区域内均匀分布。通过逐步前向逻辑回归和分层划分，我们比较了15个栖息地特征和30个随机选择的未利用悬崖特征。 Logistic回归分析显示，与未占用的悬崖相比，占用的悬崖更长（水平长度），更陡峭，并且周围景观中城市区域的扩展更大。该模型的判别能力为0.95。分层划分表明逻辑回归模型是合适的。悬崖到潜在的竞争者和捕食者占据的最近位置，即以低密度（0.67对/ 100 km2 ）形成的鹰腹地的距离，或距其最近的地方的距离都没有游说对悬崖适应性模型有任何影响。因此，在悬崖上筑巢的游eg中，栖息地的选择主要受悬崖地貌特征和周围景观特征的影响，而在我们的研究人群中，同种异体和公会内捕食者的接近对游eg的定居没有明显影响。

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