MultiOptForest:一个交互式的多目标优化工具用于森林规划和情景分析
Kyle Eyvindson1,2, Daniel Burgas3,4, Clara Antón-Fernández5
1Faculty of Environmental Sciences and Natural Resource Management, Norges miljø- og biovitenskapelige universitet, Ås, NO-1432, Norway.
Open research Europe
|February 11, 2025
概括
MultiOptForest软件通过多目标优化帮助平衡森林生态系统服务和生物多样性. 它产生了可持续森林管理规划的巴雷托最佳解决方案.
科学领域:
- 林业和环境科学 林业和环境科学
- 计算生态学计算生态学
- 运营研究 运营研究
背景情况:
- 森林规划需要平衡多个,往往相互矛盾的目标,例如生态系统服务和生物多样性.
- 为各种森林景观制定最佳管理策略是复杂且计算密集的.
- 现有的工具可能缺乏灵活性来整合各种数据源或用户偏好用于多目标优化.
研究的目的:
- 推出MultiOptForest,这是一个开源软件,用于森林规划中的多目标优化.
- 为了能够确定最佳的管理组合,平衡竞争森林生态系统服务和生物多样性目标.
- 为探索森林管理决策中的权衡提供一个用户友好的平台.
主要方法:
- 开发了一个开源软件工具,MultiOptForest.
- 从各种森林模拟器输出的灵活数据导入.
- 用户定义的偏好输入通过图形界面,包括目标范围.
- 应用多目标优化算法来生成帕雷托最佳解决方案.
主要成果:
- MultiOptForest成功地简化了构建和解决森林规划多目标优化问题的过程.
- 该软件生成一组帕雷托最佳解决方案,说明不同森林管理目标之间的权衡.
- 从小型林业企业到区域范围的规划,应用的多功能性已被证明.
结论:
- MultiOptForest为可持续森林管理的研究人员和从业人员提供了一个有价值的工具.
- 该软件通过可视化生态系统服务和生物多样性之间的权衡来促进知情决策.
- 它支持制定可靠的森林管理计划,以解决复杂的政策目标.
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