MODELING ABUNDANCE EFFECTS IN DISTANCE SAMPLING

MODELING ABUNDANCE EFFECTS IN DISTANCE SAMPLING
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距离采样中的丰度效应建模

DOI:
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发表时间:
2004
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通讯作者:
Scott T. Bates
Scott T. Bates
中科院分区:
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文献类型:
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作者:
J. Andrew Royle;D. Dawson;Scott T. Bates

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距离抽样法常用于动物种群研究,以估计种群密度。这些研究的一个共同目标是评价丰度或密度与描述动物生境或其他环境影响的协变量之间的关系。然而,很少有人关注的丰度协变量的影响,在传统的距离抽样模型建模方法。在本文中,我们提出了一个距离抽样模型,可容纳协变量对丰度的影响。该模型是基于规格的距离采样可能性在一级的样本单位在当地丰度(为每个采样单位)。这个模型是增强了泊松回归模型的本地丰度,参数化的可用协变量。检测和密度参数的最大似然估计基于积分似然,其中通过积分从似然中去除局部丰度。我们提供了一个例子,使用鸟类的点样带数据收集的巢鸟(Seiurus aurocapillus)使用距离采样协议和两个措施的栖息地结构(林下植被覆盖和断面积的上层树木)。该模型产生一个合理的描述(林下植被覆盖的积极影响,断面积的负面影响)的栖息地和Ovenbird密度之间的关系,可以用来评估栖息地管理对Ovenbird种群的影响。
Distance-sampling methods are commonly used in studies of animal populations to estimate population density. A common objective of such studies is to evaluate the relationship between abundance or density and covariates that describe animal habitat or other environmental influences. However, little attention has been focused on methods of modeling abundance covariate effects in conventional distance-sampling models. In this paper we propose a distance-sampling model that accommodates covariate effects on abundance. The model is based on specification of the distance-sampling likelihood at the level of the sample unit in terms of local abundance (for each sampling unit). This model is augmented with a Poisson regression model for local abundance that is parameterized in terms of available covariates. Maximum-likelihood estimation of detection and density parameters is based on the integrated likelihood, wherein local abundance is removed from the likelihood by integration. We provide an example using avian point-transect data of Ovenbirds (Seiurus aurocapillus) collected using a distance-sampling protocol and two measures of habitat structure (understory cover and basal area of overstory trees). The model yields a sensible description (positive effect of understory cover, negative effect on basal area) of the relationship between habitat and Ovenbird density that can be used to evaluate the effects of habitat management on Ovenbird populations.