ArticleProceedings of the National Academy of Sciences of the United States of America2021
Satellite-based deforestation alerts with training and incentives for patrolling facilitate community monitoring in the Peruvian Amazon.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
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- Rapid monitoring of global land change.Nature communications · 2025Article
- Extending the conservation impact of great ape research: Flagship species sites facilitate biodiversity assessments and land preservation.Primates; journal of primatology · 2024Article
- The effect of a political crisis on performance of community forests and protected areas in Madagascar.Nature communications · 2024Article
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- Synthesizing evidence in sustainability science through harmonized experiments: Community monitoring in common pool resources.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- On design-based empirical research and its interpretation and ethics in sustainability science.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
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Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite substantial investments in high-frequency, remote-sensed forest monitoring in the Amazon, early deforestation alerts generated by these systems rarely reach the most directly affected populations in time to deter deforestation. We study a community monitoring program that facilitated transfer of early deforestation alerts from the Global Forest Watch network to indigenous communities in the Peruvian Amazon and trained and incentivized community members to patrol forests in response to those alerts. The program was randomly assigned to 39 of 76 communities. The results from our analysis suggest that the program reduced tree cover loss, but the estimated effects from the experiment are imprecise: We estimate a reduction of 8.4 ha per community in the first year (95% CI [-19.4, 2.6]) and 3.3 ha in the second year (95% CI: [-13.6, 7.0]) of monitoring. The estimated reductions were largest in communities facing the largest threats. Data from monitoring records and community surveys provide evidence about how the program may affect forest outcomes. Community members perceived that the program's monitors were new authorities with influence over forest management and that the monitors' incentivized patrols were substitutes for traditional, unincentivized citizen patrols that suffer from free riding and inhibit timely community detection of and responses to deforestation. Should our findings be replicated elsewhere, they imply that externally facilitated community-based monitoring protocols that combine remote-sensed early deforestation alerts with training and incentives for monitors could contribute to sustainable forest management.
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