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首页> 外文期刊>Marine ecology progress series >Comparing cetacean abundance estimates derived from spatial models and design-based line transect methods
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Comparing cetacean abundance estimates derived from spatial models and design-based line transect methods

机译：比较从空间模型和基于设计的线横断面方法得出的鲸类丰度估计

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Spatial modelling is increasingly being used as an alternative to conventional designbased line transect sampling to estimate cetacean abundance. This new method combines line transect sampling with spatial analysis to predict animal abundance based on the relationship of animals observed to environmental factors. It presents several advantages including: (1) the ability to use data collected from 'platforms of opportunity', (2) the ability to estimate abundance for any defined subarea within the study area, and (3) the possibility for increased precision if covariates explain sufficient variability in the data. One study has been conducted to compare spatial modelling with conventional line transect methods, but the use of covariates in the detection function and the inclusion of school size have not previously been investigated. In the present study, the density of striped dolphins Stenella coeruleoalba was estimated in western Mediterranean waters using spatial distance sampling models applying generalised additive models (GAMs). This estimate was compared with density values previously estimated in the same area using conventional line transect methods. The densities estimated were very similar: 0.494 animals km~(-2) (coefficient of variation, CV = 0.16) using spatial models and 0.489 animals km~(-2) (CV = 0.19} using conventional line transect methods. Densities were also similar when they were calculated in stratified areas defined during the original line transect study. The precision of the estimates from spatial modelling was higher than that of the estimates obtained from conventional line transect analysis, particularly in the subareas. The results confirm that spatial modelling is a good approach for estimating cetacean abundance.
机译：空间建模正越来越多地用作基于常规设计的线样采样的替代方法，以估计鲸类的丰富度。这种新方法结合了线样采样和空间分析，可以根据观察到的动物与环境因素之间的关系预测动物的丰度。它具有几个优点，包括：（1）使用从“机会平台”收集的数据的能力，（2）对研究区域内任何定义的子区域估计丰度的能力，以及（3）如果协变量，则可以提高精度解释数据的足够可变性。已经进行了一项研究，以将空间模型与传统的线样方法进行比较，但是先前未研究过协变量在检测函数中的使用以及学校规模的纳入。在本研究中，使用空间距离采样模型和广义加性模型（GAM）估计了地中海西部水域条带海豚Stenella coeruleoalba的密度。使用常规的线横断面方法，将该估计值与先前在同一区域中估计的密度值进行比较。估计的密度非常相似：使用空间模型的密度为0.494动物km〜（-2）（变异系数，CV = 0.16），使用常规线样线法的密度为0.489动物km〜（-2）（CV = 0.19}。在原始线样断面研究中定义的分层区域中计算时，它们的计算结果相似；空间建模估计的精度高于常规线样分析获得的估计值，尤其是在子区域中。估计鲸类丰富度的好方法。

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