Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Oc
基本信息·出版社：Academic Press ·页码：344 页 ·出版日期：2005年12月 ·ISBN：0120887665 ·条形码：9780120887668 ·装帧：精装 ·正文语种：英语 ...
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基本信息·出版社：Academic Press
·页码：344 页
·出版日期：2005年12月
·ISBN：0120887665
·条形码：9780120887668
·装帧：精装
·正文语种：英语
·外文书名：占有评估与建模
内容简介 在线阅读本书
Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models.
* Provides authoritative insights into the latest in estimation modeling
* Discusses multiple models which lay the groundwork for future study designs
* Addresses critical issues of imperfect detectibility and its effects on estimation
* Explores the role of probability in estimating in detail
作者简介 James Nichols received a B.S. in Biology from Wake Forest Univ., M.S. in Wildlife Management from Louisiana State Univ., and Ph.D. in Wildlife Ecology from Michigan State Univ. He has spent his entire research career at Patuxent Wildlife Research Center working for the U.S. Fish and Wildlife Service, the National Biological Service, and now the U.S. Geological Survey. He is currently a Senior Scientist at Patuxent. His research interests focus on the dynamics and management of animal populations and on methods for estimating population parameters.
编辑推荐 Review
"MacKenzie et al. write clearly and make sensible points that are illustrated with excellent case studies and figures...Estimation and modeling of occupancy patterns of a single species in a single period of population closure ('season') are adressed in detail...worth reading because it builds a strong foundation for models that incorporate data for multiple seasons or multiple species...Ongoing work that formed the basis for Occupancy Estimation and Modeling should help ensure that necessary tools increasingly will be available as people reach out for them." - Erica Fleishman, Stanford University, Department of Biological Sciences, for ECOLOGY
Review
"MacKenzie et al. write clearly and make sensible points that are illustrated with excellent case studies and figures...Estimation and modeling of occupancy patterns of a single species in a single period of population closure ('season') are adressed in detail...worth reading because it builds a strong foundation for models that incorporate data for multiple seasons or multiple species...Ongoing work that formed the basis for Occupancy Estimation and Modeling should help ensure that necessary tools increasingly will be available as people reach out for them."
- Erica Fleishman, Stanford University, Department of Biological Sciences, for ECOLOGY
