Carbon footprint and carbon stocks in cacao–rubber agroforestry systems in southern Bahia, Brazil
ブラジル・バイーア州南部のカカオ・ゴム農林複合システムにおけるカーボンフットプリントと炭素蓄積量 (AI 翻訳)
Neide Ribeiro Dos Santos, Emanuela Forestieri Gama-Rodrigues, Antônio Carlos Gama-Rodrigues, Jaime Honorato-Júnior
🤖 gxceed AI 要約
日本語
ブラジル南部のカカオ・ゴム農林複合システムを対象に、Cool Farm Toolを用いてカーボンフットプリントを推定。肥料の生産と施用が主要な排出源であり、炭素蓄積量は減少傾向にあった。管理効率の改善が環境性能向上に重要。
English
This study quantifies the carbon footprint of cacao-rubber agroforestry systems in Brazil using the Cool Farm Tool with IPCC methodologies. Fertilizer production and application were the main emission sources, while carbon stocks decreased. Improved management practices are key to reducing emissions.
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
ブラジルの農林複合システムの炭素評価事例であり、日本企業のブラジルでのカーボンオフセット事業や持続可能な農業への関心に示唆を与える。
In the global GX context
This paper provides empirical data on carbon footprint and stocks in agroforestry, relevant for land-use carbon accounting and climate mitigation strategies globally.
👥 読者別の含意
🔬研究者:Provides a detailed carbon footprint analysis methodology and baseline data for agroforestry systems in the tropics.
🏢実務担当者:Offers insights on emission hotspots (fertilizer use) for farmers and agribusinesses managing agroforestry systems.
🏛政策担当者:Highlights the need for improved management practices to enhance the carbon performance of agroforestry, informing land-use policy.
📄 Abstract（原文）
Abstract Cacao–rubber agroforestry systems (AFS) in southern Bahia have been adopted as an alternative to rubber monocultures, but their environmental performance remains insufficiently quantified. This study analyzed the impact of management practices on the carbon footprint (CF) of cacao–rubber AFS and assessed their potential to improve sustainability and efficiency in cacao production. The study was conducted in systems established under the Ouro Verde Bahia project, involving seven sites with voluntary farmer participation. The CF was estimated using the Cool Farm Tool, which applies IPCC Tier 1 and Tier 2 methodologies to quantify greenhouse gas (GHG) emissions from inputs and management practices, expressed in CO 2 equivalent (CO 2 eq). Data were obtained through interviews with farmers, covering crop yields, fertilizer and pesticide use, residue management, fuel and energy consumption, land-use changes, and transport. Emissions were calculated for 2022, focusing exclusively on the cacao–rubber AFS, while carbon stocks in soils (0–30 cm) and tree biomass were also estimated. Fertilizer production and application were the main contributors to the CF, followed by energy use, waste management, and transportation, while emissions from crop protection products were minimal. On average, the overall CF was 3.3 kg CO 2 eq kg −1 product, whereas the annual change in carbon stocks reached − 50.16 t CO 2 eq ha −1 yr −1 . These findings highlight the importance of management efficiency for improving the environmental performance of cacao–rubber AFS. Accordingly, the adoption of improved management practices and conservation-oriented strategies may enhance the sustainability of these systems under the conditions evaluated in southern Bahia.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s10457-026-01533-4first seen 2026-06-14 04:32:21 · last seen 2026-06-14 04:38:16
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