Desbureaux Sébastien, Kabore Ibrahim, Vaglietti Giulia, Baghai Mujon, Lindsey Peter, Robson Ashley, Delacote Philippe, Leblois Antoine
Center for Environmental Economics - Montpellier (Univ Montpellier, CNRS, INRAE, Institut Agro), Montpellier 34000, France.
Equipe D'Economie - le Havre Normandie, Université Le Havre Normandie), Le Havre 76063, France.
Proc Natl Acad Sci U S A. 2025 Jan 7;122(1):e2411348121. doi: 10.1073/pnas.2411348121. Epub 2024 Dec 30.
Collaborative management partnerships (CMPs) between state wildlife authorities and nonprofit conservation organizations to manage protected areas (PAs) have been used increasingly across Sub-Saharan Africa since the 2000s. They aim to attract funding, build capacity, and increase the environmental effectiveness of PAs. Our study documents the rise of CMPs, examines their current extent, and measures their effectiveness in protecting habitats. We combine statistical matching and Before-After-Control-Intervention regressions to quantify the impact of CMPs, using tree cover loss as a proxy. We identify 127 CMPs located in 16 countries. CMPs are more often located in remote PAs, with habitats that are least threatened by human activity. Our results indicate that, on average, each year in a CMP results in an annual decrease in tree cover loss of about 55% compared to PAs without CMPs. Where initial anthropogenic pressure was low, we measure no effect. Where it was high, we see a 66% decrease in tree cover loss. This highly heterogeneous effect illustrates the importance of moving beyond average effect size when assessing conservation interventions, as well as the need for policy makers to invest public funds to protect the areas the most at risk.
自21世纪初以来,撒哈拉以南非洲地区越来越多地采用国家野生动物管理部门与非营利性保护组织之间的合作管理伙伴关系(CMPs)来管理保护区(PAs)。这些伙伴关系旨在吸引资金、建设能力并提高保护区的环境效益。我们的研究记录了CMPs的兴起,考察了它们目前的规模,并衡量了它们在保护栖息地方面的成效。我们结合统计匹配和前后对照干预回归,以树木覆盖损失为代理变量来量化CMPs的影响。我们确定了位于16个国家的127个CMPs。CMPs更多地位于偏远的保护区,其栖息地受人类活动威胁最小。我们的结果表明,平均而言,与没有CMPs的保护区相比,CMPs所在的保护区每年树木覆盖损失量减少约55%。在初始人为压力较低的地方,我们没有测量到效果。在压力较高的地方,我们看到树木覆盖损失量减少了66%。这种高度异质的效果说明了在评估保护干预措施时超越平均效应大小的重要性,以及政策制定者投资公共资金保护风险最高地区的必要性。