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Remotely sensed forest understory density and nest predator occurrence interact to predict suitable breeding habitat and the occurrence of a resident boreal bird species

机译:远程感测的森林林林和巢捕食者发生相互作用,以预测合适的育种栖息地和常驻北鸟类的发生

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Habitat suitability models (HSM) based on remotely sensed data are useful tools in conservation work. However, they typically use species occurrence data rather than robust demographic variables, and their predictive power is rarely evaluated. These shortcomings can result in misleading guidance for conservation. Here, we develop and evaluate a HSM based on correlates of long‐term breeding success of an open nest building boreal forest bird, the Siberian jay. In our study site in northern Sweden, nest failure of this permanent resident species is driven mainly by visually hunting corvids that are associated with human settlements. Parents rely on understory nesting cover as protection against these predators. Accordingly, our HSM includes a light detection and ranging (LiDAR) based metric of understory density around the nest and the distance of the nest to the closest human settlement to predict breeding success. It reveals that a high understory density 15–80?m around nests is associated with increased breeding success in territories close to settlements (1.5?km). Farther away from human settlements breeding success is highest at nest sites with a more open understory providing a favorable warmer microclimate. We validated this HSM by comparing the predicted breeding success with landscape‐wide census data on Siberian jay occurrence. The correlation between breeding success and occurrence was strong up to 40?km around the study site. However, the HSM appears to overestimate breeding success in regions with a milder climate and therefore higher corvid numbers. Our findings suggest that maintaining patches of small diameter trees may provide a cost‐effective way to restore the breeding habitat for Siberian jays up to 1.5?km from human settlements. This distance is expected to increase in the warmer, southern, and coastal range of the Siberian jay where the presence of other corvids is to a lesser extent restricted to settlements.
机译:基于远程感测数据的栖息地适用性模型(HSM)是保护工作中的有用工具。然而,它们通常使用物种发生数据而不是强大的人口变量,并且很少评估它们的预测力。这些缺点可能导致误导性的保护指导。在这里,我们基于Seiberian Jay开放式巢林林鸟的长期育种成功的相关性,发展和评估HSM。在我们的瑞典北部的研究现场,这种永久居民物种的巢失效主要是通过与人类住区相关的视觉狩猎碳冠军。父母依靠林下筑巢罩作为对这些掠夺者的保护。因此,我们的HSM包括围绕巢穴周围的林下密度的光检测和测距(LIDAR)度量,以及巢至最近人类沉降的距离以预测育种成功。据揭示,巢穴周围的高层密度为15-80?米在接近定居点(<1.5 km)附近的领土上增加的育种成功有关。远离人类住区的育种成功在巢穴网站上是最高的,具有更开放的林下较高的植物。通过将预测的育种成功与西伯利亚杰伊的景观广泛的人口普查数据进行比较,我们通过比较预测的育种成功进行了验证。育种成功与发生之间的相关性在研究现场达到40 km。然而,HSM似乎在具有较温和的地区的地区培育成功,因此越来越高的Corvid数字。我们的研究结果表明,维持小直径树木的斑块可以提供一种成本效益的方法来恢复从人类住区最高达到1.5 km的西伯利亚jays的育种栖息地。预计这一距离将增加西伯利亚杰伊的温暖,南方和沿海范围,其中其他碳梭是在较小程度上限制定居点的程度。

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