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在政策引入过程中预测森林利用行为的证据:系统地图协议系统地图
Jorge Claudio Llopis1,2,3, Neal Robert Haddaway4,5, Nurzhan Omirbek1
1School of Natural Sciences, Bangor University, Bangor, UK.
Environmental evidence
|May 27, 2024
概括
预期性森林利用,如政策实施前的预防性清除,对保护目标构成威胁. 这项研究系统地绘制了这些行为的证据,以告知有效的森林政策和保护策略.
科学领域:
- 环境政策 环境政策
- 林业科学 林业科学
- 保护生物学 保护生物学
背景情况:
- 森林保护对于减缓气候变化和生物多样性至关重要.
- 政策干预可能会造成意想不到的后果,如流离失所或泄漏.
- 由于预期的政策,预期的森林使用行为 (例如,预防性清理) 缺乏研究.
研究的目的:
- 系统地绘制和描述与政策实施相关的预测性森林使用行为全球证据.
- 识别与这些行为有关的知识缺口和研究集群.
- 为制定减轻有害环境结果的战略提供信息.
主要方法:
- 使用互补搜索策略的系统地图协议:文献搜索和引用追踪.
- 基于人口,干预和结果 (PIO) 设计的纳入标准.
- 通过叙事综合,证据图谱和可视化进行报告.
主要成果:
- 本节不适用,因为摘要描述的是系统地图的协议,而不是地图本身的结果.
结论:
- 了解预测性森林使用行为对于有效的森林保护政策至关重要.
- 需要进一步的研究来解决这个系统地图所识别的知识差距.
- 制定有针对性的战略至关重要,以抵消这些行为对环境的负面影响.
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