一个双目标混合整数线性编程模型,以优化野火易发的Pinus canariensis森林中的稀释时间表
Rafael M Navarro-Cerrillo1, Mauricio Acuna2, Antonio Jesús Ariza-Salamanca1
1Department of Forestry, School of Agriculture and Forestry, University of Córdoba, DendrodatLab-ERSAF; Laboratory of Dendrochronology, Silviculture and Climate Change, Edif. Leonardo da Vinci, Campus de Rabanales s/n, 14071 Córdoba, Spain.
The Science of the total environment
|May 1, 2025
概括
在加那利群岛的松树林中实施森林稀释计划可以显著降低火灾风险并改善环境结果. 这种方法平衡了经济回报与灭火困难,为森林管理提供了最佳的解决方案.
科学领域:
- 林业科学 林业科学
- 环境管理环境管理
- 运营研究 运营研究
背景情况:
- 松树 (Pinus canariensis) 森林面临着频繁的火灾风险,影响木材供应,需要采取缓解策略.
- 森林管理人员使用多目标编程来平衡相互矛盾的目标,例如经济回报和灭火.
- 探索林业战略,如稀释,以减少火灾的不利影响.
研究的目的:
- 开发一个综合建模框架,用于计算森林管理中的帕雷托边界.
- 为了最大限度地提高经济回报,同时最大限度地减少Pinus canariensis森林的灭火困难.
- 评估不同稀释时间表对火灾风险和地理梯度的经济结果的影响.
主要方法:
- 采用了双目标混合整数线性编程 (e-constrained) 方法.
- 开发了一个建模框架,通过整合经济回报和灭火难度来计算帕雷托边界.
- 评估了火灾灭火风险,并评估了位于加拿大群岛的特内里费岛的稀释场景.
主要成果:
- 减少灭火难度 (SDI) 对经济回报的影响有限 (低于1.275).
- 稀释时间表和相对耐受性参数 (β) 显著影响了总的SDI和稀释的数量.
- 在β的变化影响了平均SDI,稀释面积,木材流量,稀释成本和总回报.
结论:
- 在火灾易发的森林中,有效的稀释计划可以提高环境效果,即使净经济效益略有减少.
- 巴雷托边界提供了多种最佳解决方案,要求决策者选择最可行的操作选项.
- 综合建模框架对于平衡可持续森林管理中的竞争目标至关重要.
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