Bayesian inference and decision theory - A framework for decision making in natural resource management

被引：0

作者：

Dorazio, RM

Johnson, FA

机构：

[1] US Geol Survey, Florida Caribbean Sci Ctr, Gainesville, FL 32653 USA

[2] US Fish & Wildlife Serv, Div Migratory Bird Management, Gainesville, FL 32653 USA

来源：

ECOLOGICAL APPLICATIONS | 2003年 / 13卷 / 02期

关键词：

adaptive management; Bayes theorem; habitat; optimal decision;

D O I：

10.1890/1051-0761(2003)013[0556:BIADTA]2.0.CO;2

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Bayesian inference and decision theory may be used in the solution of relatively complex problems of natural resource management, owing to recent advances in statistical theory and computing. In particular, Markov chain Monte Carlo algorithms provide a computational framework for fitting models of adequate complexity and for evaluating the expected consequences of alternative management actions. We illustrate these features using an example based on management of waterfowl habitat.

引用

页码：556 / 563

页数：8

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