采用木材采伐计划的多目标方法,包括对危物种的管理和空间配置目标
Max D Jones1, Angela Larsen-Gray2, Stephen P Prisley2
1Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, United States of America.
PloS one
|October 25, 2024
概括
可持续林业软件HabplanR平衡了经济和生态目标. 它简化了数据准备和空间分析,以便更好地做出森林管理决策.
科学领域:
- 林业科学 林业科学
- 计算生态学计算生态学
- 可持续的资源管理可持续的资源管理
背景情况:
- 可持续林业需要平衡竞争的经济和生态目标,往往带来复杂的管理挑战.
- 现有的收获安排计划,如Habplan,在数据准备效率和整合空间配置目标方面面临局限性.
研究的目的:
- 介绍HabplanR,一个开源软件包,旨在克服以前工具的局限性.
- 简化数据准备,参数设置,结果可视化和空间评估,以实现多目标森林管理.
主要方法:
- 开发了HabplanR,这是一个开源的R包,用于空间收获安排.
- 纳入了四个目标:开放式,封闭式和中层树冠物种的息地质量,以及松木纸的收入.
- 在HabplanR框架内利用大都会-哈斯廷斯算法进行代的解决方案寻找.
主要成果:
- 证明了HabplanR在找到适应相互冲突的物种息地需求和经济目标的管理计划中的实用性.
- 产生了100个软件运行,优先考虑目标,选择四个管理计划进行比较.
- 提供了明确的成本效益分析和对所选时间表的空间结果进行比较.
结论:
- 哈布兰R通过简化数据处理和整合空间考虑来增强多目标森林管理.
- 该软件通过使经济和生态目标之间的权衡变得透明,促进了知情决策.
- 哈布兰R支持开发可持续林业实践,同时考虑营收和生物多样性保护.
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