什么驱动参与社区森林管理? 来自全球审查的见解
Prabin Bhusal1,2, Rajan Parajuli3, Erin O Sills1
1Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA.
Ambio
|November 27, 2025
概括
基于社区的森林管理 (CBFM) 的参与受到各种因素的影响. 了解这些驱动因素,如收入和领导力,是改善全球森林治理和当地生计的关键.
科学领域:
- 环境科学 环境科学
- 社会科学 社会科学 社会科学
- 林业林业 林业 林业 林业
背景情况:
- 基于社区的森林管理 (CBFM) 是一种全球战略,通过参与式治理将森林资源与当地生计联系起来.
- 有效的CBFM依赖于理解和促进真正的公众参与.
研究的目的:
- 系统地审查和确定人们参与社区森林管理的预测因素.
- 在各种CBFM环境中分析各种参与预测指标的频率和统计意义.
主要方法:
- 在18个国家的47项研究中对66个CBFM病例进行了系统的全球审查.
- 识别和分类248个不同的参与预测因素.
- 进行元回归分析,以探索CBFM机构模型的缓和效应.
主要成果:
- 人口统计学,家庭规模和土地占有规模经常被测试,但并不总是重要的预测因素.
- 非农业收入,领导风格和森林状况的测试较少,但与参与度更为相关.
- 具体的CBFM制度模式影响了某些预测因素对参与的影响.
结论:
- 参与CBFM是由多方面的和特定环境因素驱动的.
- 有效的森林治理需要在家庭和社区层面制定量身定制的战略.
- 未来的研究应该专注于未经测试但重要的预测因素和机构模型的作用.
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