Bayesian methods in plant conservation biology

被引：19

作者：

Marín, JM ^{[1
]}

Diez, RM ^{[1
]}

Insua, DR ^{[1
]}

机构：

[1] Univ Rey Juan Carlos, Dept Expt Sci & Engn, Stat & Decis Sci Grp, Madrid 28933, Spain

来源：

BIOLOGICAL CONSERVATION | 2003年 / 113卷 / 03期

关键词：

conservation biology; Bayesian analysis; matrix population models; recovery plans; viability; mixtures;

D O I：

10.1016/S0006-3207(03)00124-1

中图分类号：

X176 [生物多样性保护];

学科分类号：

090705 ;

摘要：

We provide an introduction to Bayesian methods in conservation biology, illustrating inferences, prediction and decision making issues. After presenting the basic framework with a recovery plan evaluation problem, we illustrate more complex issues related to forecasting trends of structured populations using matrix population models and, finally, describe relevant topics in spatial and logistic regression problems. Computational and other implementation difficulties are also discussed. (C) 2003 Published by Elsevier Science Ltd.

引用

页码：379 / 387

页数：9

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