ギリシャにおけるヨーロッパブナ分布域内の地球観測に基づく現存バイオマス炭素推定
Earth Observation-Based Living Biomass Carbon Estimates Within European Beech Distribution Footprints in Greece (原題)
Nikolaos Arampatzis, Athanasios Stampoulidis, Elias Milios, K. Radoglou
🤖 gxceed AI 要約
日本語
ギリシャのヨーロッパブナ分布域を対象に、ESAのバイオマスデータ等を用いて2010年と2020年の現存バイオマス炭素量を推定。種分布マスクの違いが炭素推定値に大きく影響することを示し、再現可能な空間スクリーニング手法を提供。IPCCデフォルト係数を使用。
English
This study estimates living biomass carbon for European beech in Greece using Earth observation data, showing that species distribution masks significantly alter carbon estimates. It provides a reproducible spatial screening method for LULUCF quality assurance, using IPCC default factors, but is not an official inventory.
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
日本では森林炭素計測はJ-クレジットや国連報告に重要だが、本手法はギリシャ固有の種分布に基づくため、直接適用は限定的。ただし、空間データによる炭素推定の不確実性評価は、日本の森林炭素管理にも参考になる。
In the global GX context
This paper contributes to global LULUCF carbon accounting by demonstrating the sensitivity of biomass estimates to species distribution masks, relevant for IPCC inventory QA/QC and climate reporting under frameworks like the Paris Agreement.
👥 読者別の含意
🔬研究者:Provides a reproducible method for spatial carbon estimation and highlights mask sensitivity.
🏢実務担当者:May inform forest carbon monitoring approaches, but limited direct applicability outside Greece.
🏛政策担当者:Relevant for improving LULUCF carbon accounting accuracy and QA/QC processes.
📄 Abstract（原文）
Reliable spatial evidence can support quality assurance and quality control for land use, land-use change and forestry (LULUCF), but land-cover and species-distribution layers do not by themselves identify IPCC Forest Land or species-pure stands. We estimated 2010 and 2020 above- and below-ground living biomass carbon within tree-covered European beech (Fagus sylvatica L.) distribution and occurrence footprints in Greece. Our operational hypothesis was that increasingly restrictive species masks would materially alter the mapped extent and carbon estimates. ESA Climate Change Initiative Biomass v6, ESA WorldCover 2021, European Forest Genetic Resources Programme (EUFORGEN) polygons, and Forest Information System for Europe (FISE) relative probability of presence layers were processed in Google Earth Engine. Biomass was converted with IPCC default carbon fractions and root:shoot ratios, and the results were summarized nationally and for GAUL Level-2 units. The broad EUFORGEN footprint covered 22,133 km2, whereas the Combined overlap of EUFORGEN, FISE relative probability of presence ≥ 0.50, and tree cover covered 2742 km2. Within the Combined footprint, the pixel mean living biomass carbon density was 60.33 Mg C ha−1 in 2010 and 62.50 Mg C ha−1 in 2020, and the area-integrated change was +0.58 Tg C; the area-normalized regional change was positive in 13 of 17 units and negative in 4. Across masks, the mean decadal change ranged from −0.50 to +3.37 Mg C ha−1 and the approximate area-integrated totals from −1.10 to +0.58 Tg C. These scenario-conditioned estimates are neither official national greenhouse gas inventory estimates nor tests of statistical significance; instead, they provide reproducible spatial screening while making mask sensitivity and unpropagated uncertainty explicit.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/earth7050142first seen 2026-08-26 04:45:49
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