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首页> 外文期刊>Marine ecology progress series >Habitat use in a marine ecosystem: beluga whales Delphinapterus leucas in Cook Inlet, Alaska
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Habitat use in a marine ecosystem: beluga whales Delphinapterus leucas in Cook Inlet, Alaska

机译:在海洋生态系统中的栖息地使用:阿拉斯加的库克湾的白鲸“ Delphinapterus leucas”

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ABSTRACT: Marine ecosystems have fluid habitat features that can be modeled for application in management decisions. With less than 360 beluga whales Delphinapterus leucas remaining in Alaska’s Cook Inlet population and increasing development in the area, it is important to identify habitat requirements of this depleted population. We used a classification and regression tree (CART) model and a resource selection function (RSF) model to determine the importance of selected environmental variables in structuring the habitat use of beluga whales in Cook Inlet. Bathymetry, proximity to mudflats, and distance from rivers classified by flow accumulation values were evaluated with respect to the presence or absence of belugas. Although bathymetry, as applied to the model, was not a significant variable, mudflats were a significant predictor of beluga distribution during early summer months. The importance of flow accumulation varied slightly between the 2 models but, in general, belugas preferred higher flow accumulation areas. The CART model correctly classified 88% of the sightings, with the majority of beluga sightings found to be within 2.7 km of mudflats and 11.5 km of medium flow accumulation inlets. Using a 0.09 probability threshold for habitat, the RSF model correctly discriminated between beluga sightings and non-sightings 92% of the time. Similar regions of habitat were predicted by CART (habitat area, A = 2985 km2) and RSF (A = 2373 km2) models. The habitat models developed in this study will help managers meet current conservation goals and make future decisions to promote the recovery of Cook Inlet beluga whales.
机译:摘要:海洋生态系统具有流动的栖息地特征,可以对其建模以应用于管理决策。由于阿拉斯加的库克湾人口中还剩下不到360只白鲸 Delphinapterus leucas ,并且该地区的发展不断增加,因此必须确定该种群的栖息地需求。我们使用分类和回归树(CART)模型和资源选择函数(RSF)模型来确定所选环境变量在构建库克湾白鲸的栖息地使用中的重要性。关于白鲸的存在与否,评估了测深,接近泥滩和距河流的距离(按流量累积值分类)。尽管应用于该模型的测深法不是一个显着变量,但泥滩是夏初几个月白鲸分布的重要预测指标。在两种模型之间,流量积聚的重要性略有不同,但是一般而言,贝鲁加斯倾向于较高流量积聚的区域。 CART模型正确地将88%的目击点归为一类,其中大部分beluga目击点位于泥滩2.7公里以内和中等流量积聚入口11.5公里以内。使用0.09的栖息地概率阈值,RSF模型在92%的时间中正确区分了白鲸目击者和非目击者。通过CART(栖息地面积 A = 2985 km 2 )和RSF( A = 2373 km 2)预测了相似的栖息地区域)模型。这项研究中开发的栖息地模型将帮助管理人员实现当前的保护目标,并为促进库克湾白鲸的恢复做出未来的决策。

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