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Towards Prescriptive Deployment: A Site-Specific Optimization Framework for Biochar-Based Climate Mitigation

処方的展開に向けて:バイオチャーに基づく気候緩和のためのサイト特化型最適化フレームワーク (AI 翻訳)

Arie Dipareza Syafei, Joni Hermana, Melani Febriwati, Tia Dwi Irawandani, Ade Ayu Oktaviana, Abdu Fadli Assomadi, Arry Febrianto

Research in Ecology📚 査読済 / ジャーナル2026-06-09#CCUS対象セクター: agriculture
DOI: 10.30564/re.v8i3.13078
原典: https://doi.org/10.30564/re.v8i3.13078

🤖 gxceed AI 要約

日本語

本論文は、バイオチャーによる土壌炭素隔離の効果を最適化するためのサイト特化型フレームワークを提案する。57のフィールド研究を統合し、バイオチャーの適用により土壌有機炭素が平均15.8%増加し、炭素貯蔵効率は68.3%であることを示した。また、450-550℃の熱分解温度が最適であることを特定し、CH4排出削減とN2O排出増加のトレードオフを明らかにした。これらを踏まえ、気候リスク評価とMRVを組み込んだ8段階の意思決定フレームワークを提示している。

English

This paper presents a site-specific optimization framework for biochar deployment as a negative emission technology. Synthesizing 57 field studies, it finds that biochar increases soil organic carbon by an average of 15.8% with a carbon storage efficiency of 68.3%. A pyrolysis temperature of 450-550°C optimizes carbon stability, while trade-offs exist between CH4 reduction and N2O increase. The framework includes climate-risk screening and MRV considerations to enhance reliability.

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

日本では、農林水産省がバイオチャーを「炭素貯留」の一環として位置づけており、本論文のサイト特化型フレームワークは、日本の農業現場での効果的なバイオチャー適用に役立つ。SSBJやカーボンクレジット制度との連携も期待される。

In the global GX context

Globally, biochar is recognized as a key negative emission technology in IPCC pathways. This framework addresses the critical need for standardized protocols to ensure reliable carbon removal outcomes, aligning with MRV requirements under Article 6 of the Paris Agreement and voluntary carbon markets.

👥 読者別の含意

🔬研究者:Provides a systematic synthesis of biochar field studies and a decision framework that can be used to design future experimental and modeling work.

🏢実務担当者:Offers a practical eight-step framework to guide site-specific biochar deployment, including trade-off management and MRV integration.

🏛政策担当者:Supports the development of MRV protocols and carbon crediting methodologies for biochar-based carbon removal.

📄 Abstract(原文)

Biochar is widely considered a promising negative-emission technology for soil carbon sequestration and climate change mitigation. However, its effectiveness in field conditions remains inconsistent because biochar performance depends strongly on soil characteristics, climatic conditions, and production parameters. This study aims to improve the predictability of climate mitigation outcomes from biochar application by synthesizing field-based evidence and developing a site-specific optimization framework. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, this systematic review synthesizes 57 field-scale studies published between 2010 and 2024. Carbon persistence was evaluated using a first-order decay model, while greenhouse gas dynamics (CO₂, CH₄, and N₂O) were integrated using the Net Global Warming Potential (NGWP) metric to assess overall climate mitigation effects. The synthesis indicates that biochar application increases soil organic carbon (SOC) stocks by an average of 15.8 ± 12.4%, with a carbon storage efficiency of 68.3 ± 23.7%. A critical pyrolysis optimization window between 450–550 ℃ was identified, which enhances aromatic carbon stability and results in a mean residence time of approximately 47.2 years. Nevertheless, important trade-offs were observed in paddy systems: while CH₄ emissions decrease by 31.2%, high-ash biochars applied to alkaline soils may increase N₂O emissions by up to 21.1%. To address these trade-offs, this study operationalizes the Theory–Context–Criteria–Method (TCCM) approach into an eight-step decision framework for site-specific biochar deployment. By incorporating climate-risk screening and Measurement, Reporting, and Verification (MRV) considerations, the framework provides practical guidance to enhance the reliability of biochar-based climate mitigation strategies.

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