Promoting the carbon market in agroforestry systems: the role of global, national and sectoral initiatives
Notice bibliographique
Résumé
Climate change, driven by increasing greenhouse gas emissions, manifests through recurrent heatwaves, wildfires, and erratic rainfall, posing significant environmental and socio-economic challenges. Mitigating these effects necessitates the reduction or offsetting of emissions, with the carbon market playing a critical role in achieving these goals. Agroforestry systems, which integrate trees with agricultural practices, offer a promising solution for carbon sequestration and climate change mitigation. The primary objective of this paper is to examine how agroforestry systems can be incorporated into the carbon market framework, with a focus on existing initiatives at global, national, and sectoral levels. A systematic review of empirical research was conducted using three academic databases: Google Scholar, Scopus, and Web of Science (WoS). Relevant papers published between 2000 and 2024 were selected based on their focus on carbon markets and agroforestry systems. The review included 95 empirical studies that were analyzed through thematic analysis. Key themes explored include the effectiveness of carbon market initiatives, the challenges and opportunities for agroforestry systems in carbon sequestration, and the alignment of these practices with carbon market mechanisms. Findings indicated that, while much of the focus has been on forests and wetlands, agroforestry systems have significant potential within carbon markets, offering environmental and socio-economic benefits, including enhanced climate adaptation and diversified income for smallholders. Carbon markets are divided into compliance markets and voluntary carbon markets (VCMs), each with distinct challenges. VCMs, in particular, face issues such as weak regulation and the absence of sustainability standards. Notable initiatives, such as the ACORN Platform, Amazonia Connect Initiative, and Dream Fund Program, are working to enhance smallholder access to carbon markets. Best practices for integrating agroforestry into carbon markets include baseline assessments, community engagement, agroforestry system design, and robust monitoring and verification systems. The integration of agroforestry into carbon markets presents a promising pathway for mitigating climate change while promoting sustainable land-use practices. However, challenges such as lack of infrastructure, technical knowledge, and financing barriers hinder smallholder participation. To overcome these obstacles, policy recommendations include investing in rural infrastructure, providing capacity-building programs, developing innovative financing models, simplifying certification processes, and ensuring policy stability.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».