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FullCAMからプロジェクト現実へ:空間的証拠、現地観測、炭素モデリングの統合による防御可能な土地部門炭素会計

From FullCAM to Project Reality: Integrating Spatial Evidence, Field Observation and Carbon Modelling for Defensible Land-Sector Carbon Accounting. (原題)

Bipul Neupane

Zenodo (CERN European Organization for Nuclear Research)ジャーナル2026-08-26#炭素会計対象セクター: agriculture
DOI: 10.5281/zenodo.22103442
原典: https://doi.org/10.5281/zenodo.22103442

🤖 gxceed AI 要約

日本語

本論文は、土地部門の炭素プロジェクトにおける空間分析、現地観測、炭素モデリングの統合的証拠システムの重要性を論じる。TerraPulse証拠-意思決定フレームワークと証拠-モデルフィードバックループを提案し、証拠の重要性と比例性に基づく「適切な証拠、適切な解像度、適切な意思決定」の原則を提示する。オーストラリアのFullCAMとACCUスキームを主な文脈としつつ、広範な土地部門の炭素会計とMRVに適用可能な枠組みを提供する。

English

This paper argues for an integrated evidence system combining spatial analysis, field observation, and carbon modeling in land-sector carbon projects. It introduces the TerraPulse Evidence-Decision Framework and Evidence-Model Feedback Loop, emphasizing materiality and proportionality of evidence. The principle 'Right Evidence. Right Resolution. Right Decision.' guides evidence-led carbon project development. While focused on Australia's FullCAM and ACCU scheme, the framework is broadly applicable to land-sector carbon accounting and MRV.

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、J-クレジット制度や森林吸収源のMRVにおいて、空間情報と現地観測の統合が課題となっている。本論文の証拠の重要性と比例性の原則は、日本のプロジェクト評価の効率化と信頼性向上に示唆を与える。

In the global GX context

Globally, as land-sector carbon accounting faces scrutiny over integrity, this paper offers a decision-led framework for evidence selection that balances cost and uncertainty. It contributes to the MRV discourse beyond Australia, relevant for jurisdictions developing land-sector methodologies under Article 6 or voluntary carbon markets.

👥 読者別の含意

🔬研究者:Provides a conceptual framework for integrating spatial and field evidence in carbon accounting, useful for designing MRV methodologies.

🏢実務担当者:Offers practical principles for evidence selection in land-sector carbon projects, improving defensibility and efficiency.

🏛政策担当者:Highlights the importance of evidence proportionality in carbon crediting schemes, informing MRV regulation design.

📄 Abstract(原文)

Land-sector carbon accounting increasingly depends on the integration of spatial evidence, field observations and carbon modelling. While models such as Australia's Full Carbon Accounting Model (FullCAM) provide sophisticated frameworks for estimating carbon-stock change, the defensibility of project-level estimates also depends on how accurately landscapes, ecological conditions, management histories and observed changes are represented within the accounting system. This discussion paper examines the interface between spatial analysis, field evidence and carbon modelling in land-sector carbon projects. It argues that these components should operate as an integrated evidence system in which each constrains, tests and strengthens the others, rather than as separate technical or compliance activities. The paper introduces two complementary concepts: the TerraPulse Evidence–Decision Framework and the Evidence–Model Feedback Loop. Together, they provide a decision-led approach to selecting evidence, determining appropriate spatial, temporal and thematic resolution, targeting field investigation, evaluating observed versus expected landscape trajectories, and improving the traceability of project-level carbon decisions. Particular attention is given to materiality and proportionality of evidence. Higher-resolution or more technologically sophisticated measurement does not inherently produce higher-integrity outcomes. Additional evidence creates value where it can reduce uncertainty capable of materially changing a project decision. The paper proposes the principle “Right Evidence. Right Resolution. Right Decision.” as a practical framework for evidence-led carbon project development, monitoring, reporting and assurance. Although FullCAM and the Australian Carbon Credit Unit (ACCU) Scheme provide the primary context, the underlying framework is intended to be relevant more broadly to land-sector carbon accounting and MRV.

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