Brazil Agriculture and LULUCF Inventory needs assessment country profile

The agriculture and land use, land-use change, and forestry (LULUCF) sectors are key determinants of greenhouse gas (GHG) emissions in Latin America and the Caribbean (LAC), both because of their importance in national economies and because of their weight in the climate commitments made under the P...

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Autores principales: Haynes, Connor, Barrios, Julián, Vásquez, Daniela
Formato: Brief
Lenguaje:Inglés
Publicado: Bioversity International and International Center for Tropical Agriculture 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/176341
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author Haynes, Connor
Barrios, Julián
Vásquez, Daniela
author_browse Barrios, Julián
Haynes, Connor
Vásquez, Daniela
author_facet Haynes, Connor
Barrios, Julián
Vásquez, Daniela
author_sort Haynes, Connor
collection Repository of Agricultural Research Outputs (CGSpace)
description The agriculture and land use, land-use change, and forestry (LULUCF) sectors are key determinants of greenhouse gas (GHG) emissions in Latin America and the Caribbean (LAC), both because of their importance in national economies and because of their weight in the climate commitments made under the Paris Agreement. In this context, moving towards more refined methodologies, such as those of Levels 2 and 3 established in the Intergovernmental Panel on Climate Change (IPCC) Guidelines, is essential to improve transparency, reduce uncertainty in national inventories, and support more ambitious and effective mitigation policies. In its first phase, the project “Strengthening national mitigation goals and providing a pathway to reduce emissions across Central and South American agrifood systems” (GIC-LAC) conducted a needs assessment of MRV systems in countries in the region. The analysis was organized into five key dimensions: (i) regulatory and policy framework, (ii) institutional arrangements, (iii) data availability and quality, (iv) governance environment, and (v) stakeholder demand. The methodology used was based on the Level 2 livestock inventory assessment carried out in Africa (Wilkes et al., 2017), ensuring technical consistency and allowing for comparisons between regions. Taken together, the results presented constitute a technical baseline that describes the current state of MRV systems for agriculture and LULUCF in the region. This assessment provides evidence to guide the improvement of national inventories, facilitate the transition to higher-level methodologies, and reduce the uncertainty associated with emissions estimates, thus contributing to the robustness and consistency of reports under the ETF.
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spelling CGSpace1763412025-12-12T08:32:23Z Brazil Agriculture and LULUCF Inventory needs assessment country profile Haynes, Connor Barrios, Julián Vásquez, Daniela climate change mitigation evaluation mitigación del cambio climático evaluación assessment seguimiento y evaluación monitoring evaluación de capacidades capacity assessment The agriculture and land use, land-use change, and forestry (LULUCF) sectors are key determinants of greenhouse gas (GHG) emissions in Latin America and the Caribbean (LAC), both because of their importance in national economies and because of their weight in the climate commitments made under the Paris Agreement. In this context, moving towards more refined methodologies, such as those of Levels 2 and 3 established in the Intergovernmental Panel on Climate Change (IPCC) Guidelines, is essential to improve transparency, reduce uncertainty in national inventories, and support more ambitious and effective mitigation policies. In its first phase, the project “Strengthening national mitigation goals and providing a pathway to reduce emissions across Central and South American agrifood systems” (GIC-LAC) conducted a needs assessment of MRV systems in countries in the region. The analysis was organized into five key dimensions: (i) regulatory and policy framework, (ii) institutional arrangements, (iii) data availability and quality, (iv) governance environment, and (v) stakeholder demand. The methodology used was based on the Level 2 livestock inventory assessment carried out in Africa (Wilkes et al., 2017), ensuring technical consistency and allowing for comparisons between regions. Taken together, the results presented constitute a technical baseline that describes the current state of MRV systems for agriculture and LULUCF in the region. This assessment provides evidence to guide the improvement of national inventories, facilitate the transition to higher-level methodologies, and reduce the uncertainty associated with emissions estimates, thus contributing to the robustness and consistency of reports under the ETF. 2025-07 2025-09-05T08:25:32Z 2025-09-05T08:25:32Z Brief https://hdl.handle.net/10568/176341 en Limited Access application/pdf Bioversity International and International Center for Tropical Agriculture Haynes, C.; Barrios, J.; Vásquez, D. (2025) Brazil Agriculture and LULUCF Inventory needs assessment country profile. Cali (Colombia): Bioversity International and International Center for Tropical Agriculture. 16 p.
spellingShingle climate change mitigation
evaluation
mitigación del cambio climático
evaluación
assessment
seguimiento y evaluación
monitoring
evaluación de capacidades
capacity assessment
Haynes, Connor
Barrios, Julián
Vásquez, Daniela
Brazil Agriculture and LULUCF Inventory needs assessment country profile
title Brazil Agriculture and LULUCF Inventory needs assessment country profile
title_full Brazil Agriculture and LULUCF Inventory needs assessment country profile
title_fullStr Brazil Agriculture and LULUCF Inventory needs assessment country profile
title_full_unstemmed Brazil Agriculture and LULUCF Inventory needs assessment country profile
title_short Brazil Agriculture and LULUCF Inventory needs assessment country profile
title_sort brazil agriculture and lulucf inventory needs assessment country profile
topic climate change mitigation
evaluation
mitigación del cambio climático
evaluación
assessment
seguimiento y evaluación
monitoring
evaluación de capacidades
capacity assessment
url https://hdl.handle.net/10568/176341
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