开发一个生态水文森林管理的多目标决策支持系统,量化和优化与碳,水,火灾风险和生态弹性 (CAFE) 相关的生态系统服务
J Pérez-Romero1, M González-Sanchis2, L Blanco-Cano3
1Research Group in Forest Science and Technology (Re-ForeST), Universitat Politècnica de València, Camí de Vera s/n, 46022, Valencia, Spain; Universidad de Córdoba, 14071, Córdoba, Spain.
Journal of environmental management
|April 1, 2025
概括
可持续森林管理 (FOMA) 得到了CAFE决策支持系统 (DSS) 的增强,该系统使用基于过程的模型和进化算法优化生态系统服务 (ES),以实现更好的规划.
科学领域:
- 林业科学 林业科学
- 评估生态系统服务的评估
- 适应气候变化 适应气候变化
背景情况:
- 可持续森林管理 (FOMA) 面临着气候变化和低利能力带来的挑战,需要改进决策工具.
- 对于FOMA而言,现有的决策支持系统 (DSS) 往往受限于单一目标,依赖实证数据,或没有指定可操作的林业干预措施.
- 需要先进的DSS,可以量化,优化和指导多个生态系统服务 (ES) 在FOMA.
研究的目的:
- 为FOMA引入CAFE (碳,水,火和生态弹性),这是一个新的多目标DSS.
- 展示CAFE如何将基于生态水文过程的模型与使用遗传进化算法的多目标优化相结合.
- 展示CAFE在规划特定林业行动 (多少,在哪里,何时,如何) 方面的能力,以实现多个FOMA目标.
主要方法:
- 开发CAFE DSS,整合生态水文模型和遗传进化算法.
- 在森林管理场景中对多种生态系统服务 (ES) 的量化和优化.
- 使用一个用户友好的界面来呈现管理解决方案的帕雷托最佳前端.
主要成果:
- CAFE提供了针对用户定义的ES目标量身定制的最佳FOMA解决方案 (Pareto最佳前线).
- DSS 能够详细规划林业作业,包括削减强度,空间分配,时间和目标森林层.
- 展示CAFE在各种森林环境中的应用,强调其实际用途.
结论:
- 通过解决多目标优化和特定的林业规划,CAFE为FOMA提供了在DSS中的重大进步.
- 该工具可以通过在FOMA中建立基准和附加性来帮助实现全球环境政策目标.
- CAFE赋予森林规划者和决策者权力,使森林管理策略适应当地条件和提高可持续性的特定标准.
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