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Dealing with detection error in site occupancy surveys: what can we do with a single survey?

作     者:Subhash R.Lele Monica Moreno Erin Bayne 

作者机构:Department of Mathematical and Statistical SciencesUniversity of AlbertaEdmontonAlbertaCanada T6G 2G1 Department of Biological SciencesUniversity of AlbertaEdmontonAlbertaCanada T6G 2G1 

出 版 物:《Journal of Plant Ecology》 (植物生态学报(英文版))

年 卷 期:2012年第5卷第1期

页      面:22-31页

核心收录:

学科分类:07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基  金:Natural Sciences and Engineering Research Council of Canada Alberta Biodiversity Monitoring Initiative Environment Canada 

主  题:abundance estimation biodiversity BBS closed population data cloning penalized likelihood species occurrence 

摘      要:Aim Site occupancy probabilities of target species are commonly used in various ecological studies,*** monitor current status and trends in *** error introduces bias in the estimators of site *** methods for estimating occupancy probability in the presence of detection error use replicate *** methods assume population closure,*** site occupancy status remains constant across surveys,and independence between *** present an approach for estimating site occupancy probability in the presence of detection error that requires only a single survey and does not require assumption of population closure or *** place of the closure assumption,this method requires covariates that affect detection and *** Penalized maximum-likelihood method was used to estimate the *** of the parameters was checked using data *** boostrapping method was used for computing confidence *** Findings The single-survey approach facilitates analysis of historical datasets where replicate surveys are unavailable,situations where replicate surveys are expensive to conduct and when the assumptions of closure or independence are not *** method saves significant amounts of time,energy and money in ecological surveys without sacrificing statistical ***,we show that occupancy and habitat suitability are not synonymous and suggest a method to estimate habitat suitability using single-survey data.

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