IPCC Tier 2 methodology systematically underestimates dry matter intake and enteric methane emissions in indigenous Tanzanian cattle fed supplemented diets
IPCC Tier 2手法は、補助飼料を与えられたタンザニア在来牛の乾物摂取量と腸内メタン排出量を系統的に過小評価する (AI 翻訳)
Endale B. Gurmu, Angello J. Mwilawa, Martin R. Weisbjerg, Germana H. Laswai, Elizabeth J. Poole, Claudia Arndt
🤖 gxceed AI 要約
日本語
本研究は、IPCC Tier 2手法がタンザニア在来牛の乾物摂取量と腸内メタン排出量を系統的に過小評価することを明らかにした。直接測定値と比較して、IPCC式による推定値は乾物摂取量を21〜34%過小評価し、これによりメタン排出量も有意に過小評価された。この結果は、アフリカの畜産システムにおける国家GHGインベントリの精度向上に重要な示唆を与える。
English
This study reveals that the IPCC Tier 2 methodology systematically underestimates dry matter intake (DMI) and enteric methane emissions in indigenous Tanzanian cattle fed supplemented diets. Directly measured DMI exceeded IPCC-predicted DMI by 21–34%, leading to significant underestimation of methane production. The discrepancies exceed IPCC default uncertainty ranges, highlighting the need for region-specific emission factors in African livestock systems.
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
本論文はアフリカの畜産システムに焦点を当てているが、GHGインベントリの精度向上は日本の排出削減戦略にも共通の課題である。特に、日本の国際協力プロジェクトや排出権取引において、正当な排出削減量を評価するための基礎となる。
In the global GX context
This paper demonstrates systematic biases in the IPCC Tier 2 methodology when applied to non-temperate livestock systems, a critical issue for global GHG accounting accuracy. It provides empirical evidence that default emission factors may significantly underestimate enteric methane emissions from indigenous cattle in Africa, affecting national inventories and mitigation planning.
👥 読者別の含意
🔬研究者:This study provides empirical evidence of systematic underestimation in IPCC Tier 2 for African cattle, urging revised emission factors for tropical livestock systems.
🏛政策担当者:National GHG inventory compilers in African countries should consider region-specific adjustments to IPCC Tier 2 methodology to improve accuracy of livestock emission estimates.
📄 Abstract（原文）
Livestock contribute approximately 30% of anthropogenic methane (CH 4 ) emissions, making accurate quantification essential for national greenhouse gas (GHG) inventories and mitigation strategies. The Intergovernmental Panel on Climate Change Tier 2 methodology estimates dry matter intake (DMI) from animal energy requirements and then applies a CH 4 conversion factor to calculate enteric emissions. However, its intake prediction equations were parameterized primarily from temperate livestock systems, raising questions about accuracy in African production contexts. This study evaluated IPCC tier 2 accuracy for estimating DMI and daily methane production (DMP) in Boran and Tanzanian Shorthorn Zebu (TSHZ) cattle fed three supplemented hay-based diets: ad libitum hay plus 60% (HayC60), 80% (HayC80), or 100% (HayC100) of ad libitum concentrate. DMP was estimated by two approaches: Tier2intake (using directly measured DMI) and Tier2IPCC (using IPCC equation-predicted DMI). Measured DMI exceeded IPCC-predicted DMI by 21%–34%, varying by breed and treatment. Correspondingly, Tier2intake yielded substantially higher DMP estimates than Tier2IPCC: 91 g vs. 70 g CH 4 /head/day for Boran, and 76 g vs. 55 g CH 4 /head/day for TSHZ (p < 0.001). These discrepancies exceeded the IPCC default uncertainty range of ±20%, indicating systematic underestimation when Tier 2 is applied to indigenous African cattle. These findings have important implications for national GHG inventory accuracy and the design of evidence-based mitigation strategies for African livestock systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fanim.2026.1822738first seen 2026-06-19 04:40:03
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