essd-2026-454へのコメント
Comment on essd-2026-454 (原題)
Simone Rossi, Clément Bourgoin, Joana Melo, Guido Ceccherini, Sandro Federici, Monica Crippa, Frederic Achard, Rene' Colditz, Francesco N. Tubiello, Greet Janssens-Maenhout, Giacomo Grassi
🤖 gxceed AI 要約
日本語
EDGARデータベースに欠けていたLULUCF部門の全球・国別推計を新たに提示する。IPCC Tier1のゲイン・ロス法に地球観測データと地域別パラメータを組み合わせ、森林地と森林減少の炭素蓄積変化を推計。2001〜2021年の森林地純吸収は平均−7.0GtCO₂/年で減少傾向、森林減少は4.7GtCO₂/年を排出し、合計−2.3GtCO₂/年。UNFCCCへの各国公式報告との比較・検証を可能にする透明なベンチマークを提供する。
English
This work fills a critical gap in the EDGAR database by providing new global, country-level LULUCF estimates for carbon stock changes in managed Forest Land and Deforestation. Using an IPCC Tier 1 gain-loss approach with Earth Observation data and regional parameters, it estimates net Forest Land removals of −7.0 Gt CO2/yr (declining) and Deforestation emissions of 4.7 Gt CO2/yr over 2001–2021. The dataset offers a transparent, IPCC-compliant benchmark for comparing national GHG inventories and filling gaps in Non-Annex I countries.
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
SSBJ・有報のScope3・土地利用排出開示を検討する日本企業にとって、LULUCFの国際比較可能なベンチマークはサプライチェーン排出算定の基礎情報となる。特に森林関連の調達・カーボンクレジットに関わる企業に示唆。
In the global GX context
For global disclosure frameworks (ISSB, CSRD, TCFD), this dataset strengthens the land-use component of GHG accounting, offering a consistent benchmark to assess national inventories and corporate land-related emissions. It supports the growing demand for transparent, spatially explicit LULUCF data in transition planning and nature-related disclosures.
👥 読者別の含意
🔬研究者:LULUCF排出推計の手法改善と全球ベンチマークを提供し、国別インベントリ比較研究に有用。
🏢実務担当者:森林関連のScope3排出算定やカーボンクレジット調達の基礎データとして活用可能。
🏛政策担当者:非附属書I国のインベントリギャップ補完やUNFCCC報告の検証に資する透明なデータ基盤を提供。
📄 Abstract（原文）
Abstract. The EDGAR database provides a consistent global inventory of anthropogenic Greenhouse Gas (GHG) emissions and removals, widely used in major global studies and assessments, but until recently lacked estimates from the Land Use, Land-Use Change, and Forestry (LULUCF) sector. LULUCF plays a crucial role in mitigating climate change, mostly through conserving and enhancing the forest sink and by reducing emissions from deforestation and peatland degradation. LULUCF is the most challenging sector in National GHG Inventory (NGHGI) reporting, due to the combination of complex biophysical processes paired with demanding data collection needs, potentially resulting in high uncertainties. Emission coverage and quality vary between countries, with advanced techniques applied in more developed nations, whereas important forested areas worldwide may lack reliable estimates. This work presents new global, country-level estimates for carbon stock changes in living biomass from managed Forest Land and Deforestation. In both cases, a globally coherent IPCC Tier 1 gain-loss approach with regionally differentiated parameters is used, combined with spatially-explicit Earth Observation-derived land use data and official statistics. Deforestation estimates are based on the new "Global Maps of Forest Cover Changes and their Drivers" from the EU Observatory on Deforestation and Forest Degradation. For Forest Land, we implemented a few methodological improvements to existing IPCC guidance in order to address limitations of the Tier 1 approach: (i) a third forest age class (>100 years) to avoid overestimating gains; (ii) a corrected IPCC fuelwood formula to eliminate double-counting; (iii) fuelwood adjustments for Southern Asia; (iv) country-specific illegal logging corrections. Global net CO₂ removals from Forest Land over 2001–2021 averaged −7.0 Gt CO₂ yr⁻¹ showing a declining trend linked to rising harvest rates, while Deforestation emitted on average 4.7 Gt CO₂ yr⁻¹, leading to a combined -2.3 Gt CO₂ yr⁻¹ removal. These estimates are compared with the countries’ official reporting to the UNFCCC and with other independent datasets and the results are discussed. Overall, this EO-based Tier 1 dataset fills a critical gap in EDGAR reporting by providing a transparent, IPCC-compliant global benchmark against which NGHGIs may be compared, or that can be used to fill gaps in Non-Annex I countries with limited reporting.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5194/essd-2026-454-rc1first seen 2026-09-20 04:34:46
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