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Multiple spatial scale logistic and autologistic habitat selection models for northern pygmy owls, along the eastern slopes of Alberta's Rocky Mountains

机译:阿尔伯塔省落基山脉东坡北部侏儒猫头鹰的多种空间尺度后勤和自体生境选择模型

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Little is known about the distribution and habitat use of northern pygmy owls (Glaucidium gnoma), in Alberta or throughout their range. In Alberta they are ranked as ‘sensitive’, meaning they are not believed to be at immediate risk of extirpation or extinction but may require special attention or protection to prevent them from becoming at risk. Diurnal broadcast surveys were conducted to determine distribution and habitat selection throughout a 28,500 km2 study area situated along the eastern slopes of the Alberta Rocky Mountains. Surveys lasted for eight weeks in 2001, during which time 1532 site visits were made. Forty-eight responses were recorded at 42 sites representing 40 individual northern pygmy owls. Predictive models of habitat selection were developed using stepwise logistic and autologistic regression. Autologistic models accounted for observed spatial dependencies and as a result, produced better fitting models that more accurately reflect the role of predictor variables in influencing species occurrence. All models considered biophysical variable selection at two spatial scales, the minimum (75 ha) and maximum (300 ha) home range size. Northern pygmy owls showed a preference for older, structurally diverse mixedwood habitats, with line-of-sight enhanced by increased edge and terrain roughness. The use of habitat selection models resulting from this project and Geographic Information Systems as a tool, will enable managers to identify key habitat features, focus future survey efforts, set habitat goals and evaluate the effects of management decisions on current and future habitat availability.
机译:关于北部矮小猫头鹰(格氏ci)在艾伯塔省或整个范围内的分布和栖息地的利用知之甚少。在艾伯塔省,它们被列为“敏感”物种,这意味着它们被认为没有濒临灭绝或灭绝的危险,但可能需要特别注意或保护,以防止他们陷入危险。进行了每日广播调查,以确定整个位于阿尔伯塔落基山脉东坡的28,500平方公里研究区的分布和栖息地选择。调查在2001年进行了八周,在此期间进行了1532次现场访问。在42个地点记录了48个响应,这些地点代表40只北方的侏儒猫头鹰。使用逐步逻辑回归和自逻辑回归建立了栖息地选择的预测模型。自体模型考虑了观察到的空间依赖性,因此产生了更好的拟合模型,这些模型更准确地反映了预测变量在影响物种发生中的作用。所有模型都考虑了两个空间尺度上的生物物理变量选择,最小(75公顷)和最大(300公顷)家庭范围大小。北方侏儒猫头鹰更偏爱年龄较大,结构多样的混合木生境,且边缘和地形的粗糙度增加,从而提高了视线。使用该项目和地理信息系统产生的栖息地选择模型作为工具,将使管理人员能够确定主要的栖息地特征,着眼于未来的调查工作,设定栖息地目标并评估管理决策对当前和未来栖息地可用性的影响。

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