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Carbon footprint of beef cattle production in integrated systems of the Brazilian Cerrado

ブラジル・セラード地域の統合システムにおける牛肉生産のカーボンフットプリント (AI 翻訳)

Antônio Carlos Reis de Freitas, Roberto Giolo de Almeida, M L R Macedo, Rodrigo da Costa Gomes, Davi José Bungenstag, Valdemir Antônio Laura, Caroline Carvalho de Oliveira, Eliane Gonçalves Gomes, V. Porfirio-Da-Silva, Bruno José Rodrígues Alves, B. E. Madari

Frontiers in Sustainable Food Systems📚 査読済 / ジャーナル2026-06-04#炭素会計経営インパクト: 調達リスク対象セクター: agriculture
DOI: 10.3389/fsufs.2026.1805833
原典: https://doi.org/10.3389/fsufs.2026.1805833
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🤖 gxceed AI 要約

日本語

本研究は、ブラジル・セラード地域における統合作物-畜産-森林(ICLF)システムでの牛肉生産の温室効果ガス(GHG)排出強度を評価した。Manure-DNDCモデルを用いて土壌有機炭素、樹木炭素、腸内発酵排出、牛肉生産を統合的に解析し、ICLFシステムでは負の排出強度が観測された。これは炭素隔離がメタン排出を上回ることを示している。

English

This study evaluates the carbon footprint of beef production in integrated crop-livestock-forest (ICLF) systems in the Brazilian Cerrado using the Manure-DNDC model. Results show negative emission intensity for ICLF systems, indicating that carbon sequestration offsets enteric methane emissions. The model successfully simulated soil organic carbon, tree carbon, and enteric emissions, supporting the potential of integrated systems for low-carbon beef.

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・セラード地域の統合システムに関する研究だが、日本では畜産分野のGHG排出削減策として参考になる可能性がある。ただし、気候・経営条件が大きく異なるため直接適用は困難。日本の畜産経営におけるカーボンフットプリント削減の方向性を考える際の事例として有用。

In the global GX context

This study provides strong empirical evidence for the carbon mitigation potential of integrated crop-livestock-forest systems in tropical savannas. Globally, it supports the role of agroforestry in reducing agricultural emissions and sequestering carbon, contributing to the growing body of knowledge on low-carbon livestock production systems.

👥 読者別の含意

🔬研究者:Useful for validating process-based models for tropical systems and quantifying trade-offs between production and emissions.

🏢実務担当者:Demonstrates that integrated systems can achieve negative emission intensity; relevant for sustainability certifications and carbon credit projects.

🏛政策担当者:Highlights the potential of ICLF systems to contribute to national GHG reduction targets; supports inclusion in low-carbon agriculture policies.

📄 Abstract(原文)

Prediction of soil organic carbon (SOC) stocks, tree carbon stocks, enteric emissions, and beef production is essential for evaluating low-carbon livestock systems. However, there is still limited information regarding the use of mechanistic models capable of simultaneously integrating these components under tropical integrated production systems. This study evaluated the performance of the Manure-DeNitrification-DeComposition (Manure-DNDC) model to simulate SOC stocks and estimate the emission intensity of beef production in integrated crop-livestock-forest (ICLF) systems of the Brazilian Cerrado. Methods: Experimental data collected from 2008 to 2016 at the Embrapa Beef Cattle experimental site in Campo Grande, Mato Grosso do Sul, Brazil, were used to evaluate native vegetation (NV), integrated crop-livestock (ICL), and integrated crop-livestock-forest systems (ICLF14 and ICLF22). The Manure-DNDC model was applied to simulate SOC dynamics, beef production, and enteric emissions, and model estimates were compared with measured field data. Results: The model showed good agreement between simulated and measured SOC stocks, beef production, and enteric emissions across the evaluated systems. Annual additional SOC stocks were estimated at -0.025 Mg CO2e ha −1 year-1 for NV, +1.06 Mg CO 2 e ha −1 year −1 for ICL, +0.83 Mg CO 2 e ha −1 year −1 for ICLF22, and +0.30 Mg CO 2 e ha −1 year −1 for ICLF14. Emission intensity was estimated at 7.7 kg CO 2 e kg −1 live weight gain (LWG) for ICL, whereas negative net values were observed for ICLF22 (-31.5 kg CO2 2 kg −1 LWG) and ICLF14 (-69.5 kg CO 2 e kg −1 LWG).Discussion: The Manure-DNDC model satisfactorily represented greenhouse gas (GHG) emissions and carbon sequestration under Brazilian Cerrado conditions. The findings highlight the potential of ICLF systems to mitigate GHG emissions and reduce the carbon footprint of beef production.

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