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Bayesian belief networks: applications in ecology and natural resource management

机译:贝叶斯信念网络:在生态和自然资源管理中的应用

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摘要

In this introduction to the following series of papers on Bayesian belief networks (BBNs) we briefly summarize BBNs, review their application in ecology and natural resource management, and provide an overview of the papers in this section. We suggest that BBNs are useful tools for representing expert knowledge of an ecosystem, evaluating potential effects of alternative management decisions, and communicating with nonexperts about making natural resource management decisions. BBNs can be used effectively to represent uncertainty in understanding and variability in ecosystem response, and the influence of uncertainty and variability on costs and benefits assigned to model outcomes or decisions associated with natural resource management. BBN tools also lend themselves well to an adaptive-management framework by posing testable management hypotheses and incorporating new knowledge to evaluate existing management guidelines.
机译:在以下有关贝叶斯信念网络(BBN)的系列论文的简介中,我们简要概述了BBN,回顾了它们在生态和自然资源管理中的应用,并在本节中概述了这些论文。我们建议,BBN是表示生态系统专家知识,评估替代管理决策的潜在影响以及与非专家进行自然资源管理决策沟通的有用工具。 BBN可以有效地表示生态系统响应的理解和可变性方面的不确定性,以及不确定性和可变性对分配给与自然资源管理相关的模型结果或决策的成本和收益的影响。 BBN工具还通过提出可检验的管理假设并结合新知识来评估现有管理准则,从而很好地适应了自适应管理框架。

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