中国雪峰山中部の山間部町村における土地利用炭素排出と炭素貯留の時空間的変遷
Spatiotemporal Evolution of Land-Use Carbon Emissions and Carbon Storage in Mountainous Towns of the Central Xuefeng Mountains, China (原題)
Qing Wen, Jiajun Gong, Yilei Liu, Bohong Zheng
🤖 gxceed AI 要約
日本語
中国のダブルカーボン目標下で、山間部の土地利用変化が炭素排出・貯留・収支に与える影響を、InVEST・PLUS・グレーモデルを用いて2000〜2020年で分析し、2040年までの将来シナリオ（自然発展、生態保護、経済発展）を予測。建設用地の増加が炭素源となり、森林が吸収源として重要であること、一部の町で炭素赤字のリスクがあることを示し、炭素収支調整区を提案した。
English
Under China's dual-carbon targets, this study analyzes land-use changes and their impact on carbon emissions, storage, and balance in mountainous counties using InVEST, PLUS, and Gray Models from 2000 to 2020, projecting 2040 scenarios. It finds that construction land expansion drives emissions, forests are key carbon sinks, and some towns face carbon deficits, proposing differentiated governance zones.
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
中国の地域事例だが、日本の自治体における土地利用計画やカーボンニュートラル戦略（例：森林吸収源の活用）に示唆を与える。特に、SSBJ対応や地域脱炭素計画の策定において、土地利用と炭素収支の統合評価の重要性を示す。
In the global GX context
This study provides a methodological framework for integrating land-use change into carbon accounting, relevant for global climate disclosure and territorial planning. It offers insights for ISSB-aligned reporting on land-related emissions and for nature-based solutions in climate strategies.
👥 読者別の含意
🔬研究者:土地利用変化と炭素収支の統合モデリング手法（InVEST+PLUS）を参考にできる。
🏢実務担当者:地域の炭素収支評価や土地利用計画に活用可能なデータとシナリオ分析を提供。
🏛政策担当者:山間部の炭素収支調整と低炭素地域計画のための科学的根拠を示す。
📄 Abstract（原文）
Under China’s dual-carbon targets, mountainous areas are critical ecological barriers with substantial carbon-sink potential. This study investigated the effects of land-use and land-cover change (LUCC) on carbon emission (CE), carbon storage (CS), and carbon balance in Longhui, Dongkou, and Suining counties in the central Xuefeng Mountains. Using LUCC data from 2000 to 2020, we combined the InVEST, PLUS, and Gray Models with an emission-coefficient method to reconstruct historical LUCC and analyze the spatiotemporal patterns of CE and CS. Future carbon balance was then modeled for 2040 under natural development (ND), ecological protection (EP), and economic development (ED) scenarios. The results indicated that: (1) from 2000 to 2020, construction land doubled, whereas cultivated land and forest land decreased significantly; (2) net CE increased by 3.5-fold, with construction land acting as the dominant carbon source and forest land serving as the primary carbon sink. CS declined by 3.7 × 105 t and exhibited a spatial pattern of high in the west, low in the east. The carbon supply-demand ratio (CSDR) showed a continuous downward trend, with central towns approaching carbon deficits. (3) Projections for 2040 indicated that Taohong Town will face a carbon deficit under the ED, while nearing the critical threshold under the ND. Although the EP prevents a deficit, the town remains vulnerable near the tipping point; in contrast, western ecological townships maintain substantial carbon surpluses. Accordingly, four carbon-balance regulation zones are identified, and differentiated governance strategies are proposed. These findings provide a scientific basis for carbon-balance regulation and low-carbon territorial planning in mountainous counties.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/land15081524first seen 2026-08-23 04:50:23
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