A vulnerability-based approach for smallholder-led forest conservation
小規模農家主導の森林保全のための脆弱性ベースのアプローチ (AI 翻訳)
João Chaib, Christianne Corsini, Michael Davies, Gwendolyn Smith, Camilla Pinheiro, Danilo Centeno, Niavo Ratsimbazafy, Raul Feldmann, Hongjun Wang
🤖 gxceed AI 要約
日本語
本研究は、ブラジルのキロンボーラ領土における小規模農家主導の森林減少回避のための脆弱性ベースのREDD+手法を提案する。動的ベースラインと生活脆弱性指標を用いて、年間約2,032 tCO2eのクレジットが可能であり、20~40 US$/tCO2eの価格で毎年4万~8万米ドルの収入が見込める。また、再生型農業シナリオで追加的な炭素除去ポテンシャルも示された。
English
This study pilots a vulnerability-based avoided deforestation methodology for smallholder-led forest conservation in a Brazilian quilombo territory. Using a dynamic baseline and livelihood vulnerability indexes, it estimates annual creditable emissions of 2,032 tCO2e, yielding $40,000–80,000/yr at $20–40/tCO2e, with additional carbon removal potential from regenerative agriculture.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の森林炭素クレジット制度(J-クレジット)においても、小規模林業家やコミュニティの参加を促進する手法として参考になる可能性がある。特に、脆弱性評価を組み込んだアプローチは、国内の過疎地域や環境保全活動への応用が期待される。
In the global GX context
This paper contributes to global GX by addressing equity and effectiveness in REDD+ carbon crediting for smallholders, a critical gap in carbon markets. Its vulnerability-based approach could inform emerging high-integrity carbon credit standards and Article 6 mechanisms under the Paris Agreement.
👥 読者別の含意
🔬研究者:Offers a replicable methodology for combining livelihood vulnerability with dynamic baselines in REDD+ accounting.
🏢実務担当者:Provides a practical tool for carbon project developers to target finance to vulnerable communities and quantify creditable emissions.
🏛政策担当者:Highlights the need for actor-specific approaches in forest carbon policy to ensure equitable distribution of climate finance.
📄 Abstract(原文)
Smallholders account for a growing share of forest loss while holding a disproportionate capacity to conserve and restore forests. Yet most Reducing Emissions from Deforestation and Forest Degradation (REDD+) methodologies remain scale- and actor-neutral, offering no systematic mechanism to equitably support these highly vulnerable rural communities. This study pilots a vulnerability-based avoided deforestation methodology in the Curiaú Quilombola territory (Amapá, Brazil), integrating a livelihood-vulnerability filter with a locality-matched dynamic baseline built from 10 m MapBiomas land-cover data and an independent accuracy assessment. A survey of 123 of 505 households is used to compute Livelihood Vulnerability Indexes, which indicate that Curiaú presents a level of vulnerability consistent with eligibility for carbon finance under the applied framework. The dynamic baseline implies an annual deforestation rate of 0.70% and baseline emissions of 2,540 tCO<sub>2</sub>e, of which 2,032 tCO<sub>2</sub>e are conservatively creditable after a 20% buffer deduction. At illustrative prices of 20-40 US$ tCO<sub>2</sub>e<sup>-1</sup>, these credits would yield roughly US$40,000-80,000 yr<sup>-1</sup>, sufficient to support edge-forest protection and co-finance the restoration of some flood-affected cropland and pasture, but still insufficient to meet broader livelihood recovery and adaptation needs. An exploratory regenerative-agriculture scenario for existing agricultural mosaics indicates a potential for 180-350 tCO<sub>2</sub>e yr<sup>-1</sup> of additional carbon removals, roughly US$4,000-14,000 yr<sup>-1</sup>, which can further support livelihood resilience. This study shows that the vulnerability-based avoid-deforestation approach can not only expand high-integrity REDD+ accounting to smallholder territories but also function as a targeting and planning tool to direct climate finance where marginal incentives are more likely to influence land-use decisions within broader resilience and development strategies, depending on local socio-economic and ecological conditions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.20517/cf.2026.09first seen 2026-05-25 04:43:06 · last seen 2026-05-27 04:32:09
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