Estimating a resource selection function with line transect sampling

[摘要] A resource selection probability function is a function that gives the prob-ability that a resource unit (e.g., a plot of land) that is described by a set of habitatvariablesX1toXpwill be used by an animal or group of animals in a certain period oftime. The estimation of a resource selection function is usually based on the comparisonof a sample of resource units used by an animal with a sample of the resource unitsthat were available for use, with both samples being assumed to be effectively randomlyselected from the relevant populations. In this paper the possibility of using a modifiedsampling scheme is examined, with the used units obtained by line transect sampling. Alogistic regression type of model is proposed, with estimation by conditional maximumlikelihood. A simulation study indicates that the proposed method should be useful inpractice.

[学科分类] 自然科学（综合）