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)
Md. Rakib Hasan
🤖 gxceed AI 要約
日本語
本アーカイブは、ブルーカーボンクレジットの信頼性を検証した研究「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」を再現するための派生データ・評価分割・数値結果を収録する。マングローブ土壌有機炭素ラベル2,489コアを標準化し、全球マップの地理的転用可能性を検証するベンチマークを提供する。炭素クレジットの在庫スパン計算も含み、クレジット品質評価に資する。
English
This archive provides derived data, harmonised labels, frozen evaluation splits, and full numerical results for the study showing global maps overstate blue-carbon credit reliability. It integrates 2,489 mangrove soil organic carbon cores into a standardised stock and offers a reusable benchmark for testing geographic transferability of blue-carbon models, including a carbon-crediting stock-span calculation.
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-クレジット制度でも注目される領域であり、クレジットの信頼性・在庫評価の地理的限界は、日本企業のオフセット調達や投資判断に直接影響する。SSBJのScope3・クレジット開示を検討する日本企業にとって、クレジット品質の検証手法は重要な示唆を与える。
In the global GX context
Blue-carbon credits are a growing segment of voluntary carbon markets under frameworks like Verra and the ICVCM. This work challenges the reliability of globally mapped carbon stocks, with direct implications for credit integrity, MRV standards, and the credibility of nature-based offsets in transition finance and net-zero claims.
👥 読者別の含意
🔬研究者:全球マップの地理的転用可能性を評価するベンチマークと検証手法を提供する。
🏢実務担当者:ブルーカーボンクレジット調達時に、全球マップ依存の在庫評価リスクを認識する材料となる。
🏛政策担当者:クレジット制度設計において、地域検証とMRV強化の必要性を示唆する。
📄 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
- openalex https://doi.org/10.5281/zenodo.22769198first seen 2026-09-17 04:53:09
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