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Habitat-based models of cetacean density and distribution in the central North Pacific

机译:北太平洋中部以栖息地为基础的鲸类密度和分布模型

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摘要

The central North Pacific Ocean includes diverse temperate and tropical pelagic habitats. Studies of the abundance and distribution of cetaceans within these dynamic marine ecosystems have generally been patchy or conducted at coarse spatial and temporal scales, limiting their utility for pelagic conservation planning. Habitat-based density models provide a tool for identifying pelagic areas of importance to cetaceans, because model predictions are spatially explicit. In this study, we present habitat-based models of cetacean density that were developed and validated for the central North Pacific. Spatial predictions of cetacean densities and measures of uncertainty were derived based on data collected during 15 large-scale shipboard cetacean and ecosystem assessment surveys conducted from 1997 to 2012. We developed generalized additive models using static and remotely sensed dynamic habitat variables, including distance to land, sea-surface temperature (SST), standard deviation of SST, surface chlorophyll concentration, seasurface height (SSH), and SSH root-mean-square variation. The resulting models, developed using new grid-based prediction methods, provide finer scale information on the distribution and density of cetaceans than previously available. Habitat-based abundance estimates around Hawaii are similar to those derived from standard line-transect analyses of the same data and provide enhanced spatial resolution to inform management and conservation of pelagic cetacean species.
机译:北太平洋中部地区包括温带和热带中上层生境。在这些动态海洋生态系统中,鲸类的丰富度和分布研究通常是零散的或在粗略的时空尺度上进行的,这限制了它们在远洋保护规划中的用途。基于生境的密度模型为识别鲸类重要的远洋区域提供了一种工具,因为模型预测在空间上是明确的。在这项研究中,我们介绍了为北太平洋中部开发和验证的基于栖息地的鲸类密度模型。基于1997年至2012年进行的15次大规模船上鲸类鲸类和生态系统评估调查收集的数据,得出鲸类密度的空间预测和不确定性度量。我们使用静态和遥感的动态生境变量(包括距陆地的距离)开发了广义加性模型。 ,海面温度(SST),SST的标准偏差,表面叶绿素浓度,海面高度(SSH)和SSH均方根变异。使用新的基于网格的预测方​​法开发的结果模型提供了有关鲸类分布和密度的更精细的比例信息。夏威夷周围基于栖息地的丰度估算值类似于对相同数据进行标准线样分析得出的估算值,并且提供了增强的空间分辨率,可为远洋鲸类物种的管理和保护提供依据。

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