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全球マップはブルーカーボンクレジットの信頼性を過大評価している

Global maps overstate the reliability of blue-carbon credits (原題)

Mohammad Rubaiyat Hasan

Zenodo (CERN European Organization for Nuclear Research)データセット2026-09-20#炭素会計Origin: Global経営インパクト: 資金調達対象セクター: finance
DOI: 10.5281/zenodo.22851982
原典: https://doi.org/10.5281/zenodo.22851982

🤖 gxceed AI 要約

日本語

本研究は、マングローブ土壌炭素ストックの全球マップが地域をまたいでどこまで転移可能かを検証し、地理的転移可能性の限界を示す再現可能なベンチマークを提供する。2,489本の土壌コアと植生炭素データを統合し、8つの主要デルタおよび29地域でのleave-one-out検証、適用範囲評価、コン�ォーマル被覆、炭素クレジットのストック幅計算を実施。全球マップに基づくブルーカーボンクレジットの信頼性が過大評価されている可能性を示唆する。

English

This study tests the geographic transferability of global mangrove soil-carbon stock models and provides a reusable benchmark for blue-carbon credit reliability. It harmonises 2,489 soil cores with biomass data and runs leave-one-delta-out and leave-one-region-out validation, area-of-applicability, conformal coverage, and a carbon-crediting stock-span calculation. Results suggest global maps overstate the reliability of blue-carbon credits.

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

ブルーカーボンはJ-クレジットや企業のカーボンオフセット調達で注目されるが、本論文は全球マップ依存のクレジット品質評価に警鐘を鳴らす。日本企業が海外ブルーカーボンクレジットを調達・報告する際のデータ信頼性リスクを考える材料となる。

In the global GX context

Blue-carbon credits are increasingly used in voluntary markets and corporate offsetting, and this work directly challenges the reliability of map-based stock estimates underpinning them. It speaks to global disclosure and verification debates (VCMI, ICVCM, SBTi offset guidance) by quantifying geographic transferability limits.

👥 読者別の含意

🔬研究者:地理的転移可能性と不確実性評価のベンチマークとして、炭素ストックモデル研究に有用。

🏢実務担当者:ブルーカーボンクレジット調達・オフセット報告時のデータ品質デューデリジェンスに示唆。

🏛政策担当者:ブルーカーボンクレジット認証・MRV制度設計における地理的バイアス考慮の必要性を示す。

📄 Abstract(原文)

This archive contains the derived data, harmonised labels, frozen evaluation splits, and complete numerical results supporting the study "Global maps overstate the reliability of blue-carbon credits." It provides everything required to reproduce every figure and number in the paper, and a reusable benchmark for testing the geographic transferability of blue-carbon stock models. Contents. data_processed/ harmonised mangrove soil organic carbon labels (2,489 cores integrated to a standardised 0–100 cm stock, Mg C ha⁻¹, from the Coastal Carbon Network Data Library); aboveground biomass carbon points (from the Simard et al. 2019 30 m product, converted with a 0.47 carbon fraction); feature tables joining these labels to a covariate stack (CHELSA bioclim 1–19, GSOCmap, SoilGrids, Copernicus land cover, distance-to-coast and distance-to-river, and EOT20 tidal range/form factor); the frozen leave-one-delta-out fold definition for eight named core deltas (delta_registry.csv) and the data-driven 29-region leave-one-region-out folds used for the scale/robustness analysis (region_registry.csv, region_folds.csv); and one JSON file per experiment recording all reported results (three-tier validation, area-of-applicability, conformal coverage, region-scale test, aboveground-biomass and total-carbon estimates, published-map evaluation, terrestrial comparison, covariate- and concept-shift diagnostics, GSOC ablation, AOA threshold sensitivity, few-shot calibration, and the carbon-crediting stock-span calculation). manifests/ per-source provenance (source, DOI, file names, sizes, checksums, URLs) for the public input datasets (CCN, Global Mangrove Watch v3, Simard 2019, EOT20). config/ delta and region bounding-box definitions and the full source catalogue. README.md and SHA256SUMS.txt — file-by-file documentation and integrity checksums. Scope and limitations. This deposit contains derived data and results only. It does not include the large public raster inputs (CHELSA, SoilGrids, GSOCmap, Global Mangrove Watch, Simard 2019, EOT20, WoSIS), which are not redistributed here; their exact sources are documented in manifests/ and config/sources.yaml, and the full acquisition-to-analysis pipeline that regenerates this archive from those public sources is provided in the code repository. Derived data are released under CC-BY-4.0; the underlying source datasets retain their original licences and should be cited alongside this archive. Code. The complete reproducible pipeline, pinned software environment, and single-command runner are available at https://github.com/rakibhhridoy/mdbc-blue-carbon

🔗 Provenance — このレコードを発見したソース

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