构建一个决策支持工具,以告知复杂性下的可持续性方法:关于管理野生反动物的案例研究
Paul Griesberger1, Florian Kunz2, Klaus Hackländer2
1Institute of Wildlife Biology and Game Management, Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Vienna, Gregor-Mendel-Str. 33, 1180, Vienna, Austria. paul.griesberger@boku.ac.at.
Ambio
|April 17, 2024
概括
野生动物管理冲突源于不同的可持续性目标. 一个新的贝叶斯决策网络工具帮助非技术用户通过平衡生态,经济和社会文化权衡来做出明智的决策.
科学领域:
- 野生动物生态生态学
- 保护生物学 保护生物学
- 决策科学 决策科学 决策科学
背景情况:
- 野生动物管理中的利益相关者冲突源于各种生态,经济和社会文化可持续性目标.
- 现有的决策框架缺乏在所有可持续性维度上的整合.
- 经过深思熟虑的决策对于缓解野生动物管理冲突至关重要.
研究的目的:
- 为野生动物管理决策制定一个整合性建模框架.
- 创建一个考虑可持续性所有维度的决策支持工具.
- 为了解决缺乏现有的野生动物知识管理框架的问题.
主要方法:
- 通过利益相关者研讨会进行协作决策分析.
- 开发贝叶斯决策网络,用于下奥地利野生反动物管理.
- 考虑到可持续性权衡的资源分配的比较.
主要成果:
- 为野生动物管理构建了一个新的决策支持工具.
- 该工具有助于对资源分配和可持续性权衡进行比较.
- 它是为各种决策环境中的非技术用户而设计的.
结论:
- 开发的工具为野生动物管理决策提供了一个透明和可复制的方法.
- 它代表了缓解野生动物冲突的重大进展.
- 该框架在整个欧洲及其他地区都有潜在的应用.
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