自动检测森林管理单位,以最佳协调森林企业的规划和运营
Leo Gallus Bont1, Clemens Blattert1, Lioba Rath1
1Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Sustainable Forestry Group, Zuercherstrasse 111, CH 8903, Birmensdorf, Switzerland.
Journal of environmental management
|November 19, 2024
概括
本研究介绍了一个空间优化模型,用于自动划分森林管理单位 (FMU). 这种方法通过为目标操作创建紧,均的单元来提高森林管理规划和运营效率.
科学领域:
- 林业科学 林业科学
- 空间优化 空间优化
- 生态系统管理 生态系统管理
背景情况:
- 山林提供了诸如木材和生态系统服务等重要资源,包括危险保护,娱乐和碳捕获.
- 有效的森林管理需要整合规划和采伐操作,这些操作通常是分开处理的.
- 将森林划分为同质的森林管理单位 (FMU) 对于将规划与运营联系起来至关重要.
研究的目的:
- 开发一个空间优化模型,用于自动识别森林管理单位 (FMU).
- 确保FMU紧,运营协调,在场地属性和生态系统服务方面均.
主要方法:
- 一个空间优化模型是使用一个p-中位数问题表述开发的.
- 该模型使用混合整数线性编程进行高效的计算.
- 为了实际应用,实施了三个不同的解决策略.
主要成果:
- 空间优化模型成功并自动识别森林管理单位 (FMU).
- 该模型在合理的计算时间内生成可理解的解决方案.
- 与传统方法相比,这种方法更容易评估更多的管理场景.
结论:
- 开发的空间优化模型是自动划分FMU的有效工具.
- 这种自动化方法提高了森林管理规划的质量和效率.
- 建议对模型的输出进行专家审查,以改进规划流程.
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