Quantitative Conservation of Vertebrates 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Quantitative Conservation of Vertebrates

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Conroy, Michael J./ Carroll, John P./ Senar, Juan Carlos/ Chang-qing, Ding 作者
譯者
2009-2 出版日期
352 頁數
651.00元 價格
叢書系列
9781405182287 圖書編碼

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Quantitative Conservation of Vertebrates 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Quantitative Conservation of Vertebrates 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Quantitative Conservation of Vertebrates 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Quantitative Conservation of Vertebrates 在線電子書 著者簡介


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Quantitative Conservation of Vertebrates 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Quantitative Conservation of Vertebrates 在線電子書 圖書描述

This book provides a hands-on introduction to the construction and application of models to studies of vertebrate distribution, abundance, and habitat. The book is aimed at field biologists, conservation planners, and advanced undergraduate and postgraduate students who are involved with planning and analyzing conservation studies, and applying the results to conservation decisions. The book also acts as a bridge to more advanced and mathematically challenging coverage in the wider literature. Part I provides a basic background in population and community modeling. It introduces statistical models, and familiarizes the reader with important concepts in the design of monitoring and research programs. These programs provide the essential data that guide conservation decision making. Part II covers the principal methods used to estimate abundance, occupancy, demographic parameters, and community parameters, including occupancy sampling, sample counts, distance sampling, and capture-mark-recapture (for both closed and open populations). Emphasis is placed on practical aspects of designing and implementing field studies, and the proper analysis of data. Part III introduces structured decision making and adaptive management, in which predictive models are used to inform conservation decision makers on appropriate decisions in the face of uncertainty with the goal of reducing uncertainty through monitoring and research. A detailed case study is used to illustrate each of these themes. Numerous worked examples and accompanying electronic material (on a website and accompanying CD) provide the details of model construction and application, and data analysis.

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