不同的数据用于不同的目标:探索空间数据输入的使用中的权衡和协同作用,以优化在松树生态系统中的保护行动
Jessica E Shyvers1, Bryan C Tarbox1, Adrian P Monroe1
1U.S. Geological Survey Fort Collins Science Center Fort Collins Colorado USA.
Ecology and evolution
|October 3, 2025
概括
空间保护优先级 (SCP) 工具可以指导息地恢复和物种保护. 适应萨格生态系统重点恢复工具 (PReSET) 改进了对多种物种和约束的规划.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 环境管理环境管理
背景情况:
- 全球生态系统面临着快速的息地和物种丧失,需要有效的保护战略.
- 有限的资源需要战略决策,以有效地保护和恢复息地.
- 空间保护优先级 (SCP) 有助于有针对性的规划,但面临着多种物种,约束,数据不确定性和现有计划的复杂性.
研究的目的:
- 为多种物种的保护规划,调整重点恢复松树生态系统工具 (PReSET).
- 评估生态/管理约束,数据不确定性和现有计划对保护结果的影响.
- 确定在美国怀俄明州保护和恢复草的优先领域.
主要方法:
- 在SCP的R包 (PReSET) 中开发和调整了优化问题.
- 评估了单种和多种向之间的权衡,包括雨物种方法.
- 评估了与连接,气候变化,恢复失败和数据不确定性相关的风险.
- 综合现有保护计划以指导本地规模的保护交付.
主要成果:
- 调整后的PReSET有效地支持针对多种物种和复杂约束的战略规划.
- 在比较单个物种与多个物种的保护策略时,发现了权衡.
- 在考虑数据不确定性时,风险回避显著影响了保护结果.
- 现有保护区内的优化证明了针对目标的本地交付的有效性.
结论:
- 通过新的空间数据和PReSET等决策支持工具来增强SCP方法,可以改善景观保护规划.
- 通过强有力的优先考虑来制定有针对性的保护行动,可以为各种生态系统和物种带来更好的管理结果.
- 调整后的工具为应对资源限制和数据不确定性的复杂保护挑战提供了一个框架.
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