Optimized functional zoning based on land use carbon emissions and carbon balance: a case study in Shaanxi Province, China
土地利用炭素排出と炭素収支に基づく最適化機能ゾーニング：中国陝西省のケーススタディ (AI 翻訳)
Qi Mu, Xia Jia, Yonghua Zhao, Lei Zhang, Kun Ren, 康文红, Yueying Ren
🤖 gxceed AI 要約
日本語
本研究は、中国陝西省の各県における2000年から2020年までの土地利用炭素排出量（LUCE）を算出し、9倍の増加を明らかにした。生態学的支援係数（ESC）と炭素経済貢献係数（ECC）を導入し、炭素収支と経済産出を評価。これに基づき、地域を5つの機能ゾーンに分類し、カーボンニュートラル戦略を提案する。持続可能な土地利用管理のための移転可能な枠組みを提供する。
English
This study calculates land use carbon emissions (LUCE) for counties in Shaanxi Province, China from 2000-2020, revealing a nine-fold increase. It introduces ecological support coefficient (ESC) and carbon economic contribution coefficient (ECC) to assess carbon balance and economic output. Based on these, the region is classified into five functional zones for targeted carbon neutrality strategies, offering a transferable framework for sustainable land management.
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
中国の事例ですが、土地利用炭素排出量を地域ゾーニングに統合する方法論は、日本のSSBJや有報における土地関連排出の開示にも応用可能です。
In the global GX context
This Chinese case study demonstrates a methodology for integrating land use carbon emissions into regional zoning, which could inform similar approaches under global frameworks like ISSB or TCFD for land-based emissions reporting.
👥 読者別の含意
🔬研究者:Researchers can adopt the ESC and ECC metrics for carbon balance assessment in other regions.
🏢実務担当者:Land-use planners and sustainability teams can use the functional zoning framework to prioritize carbon reduction strategies.
🏛政策担当者:Policymakers can leverage this zoning approach for regional carbon neutrality planning, especially in ecologically sensitive areas.
📄 Abstract（原文）
Land use carbon emissions (LUCE) is crucial for achieving carbon neutrality and sustainable development goals. How to coordinate ecological and economic benefits and formulate targeted regional carbon balance strategies based on local conditions remains to be explored. Therefore, Shaanxi Province in China was selected as the case for this study due to its rich ecological and energy resources and its significant differences. LUCE was calculated for each county in the region from 2000 to 2020. The contribution of carbon ecological capacity was quantified by calculating the carbon ecological support coefficient (ESC). The economic output per unit of carbon emission was measured using the carbon economic contribution coefficient (ECC). Based on the above, an optimized functional zoning for LUCE and carbon balance was constructed. Results showed that LUCE in Shaanxi Province increased from 2,088.18 × 10 4 tonnes in 2000 to 19,330.99 × 10 4 tonnes in 2020, with central region accounting for 64.81% of the total, northern region 22.92%, and southern region 12.27%. About 53.27% of counties maintained ecological deficits (ESC < 1) in the Northern Shaanxi Energy Zone and the Guanzhong Belt, while 56.07% exhibited an imbalance between economic output and carbon emissions (ECC < 1) in the Northern periphery and the Southern Ecological Zone. Economic growth was positively correlated with LUCE and negatively with ESC, but had a relatively small relationship with ECC and carbon absorption. Subsequently, all counties in Shaanxi Province were classified into five functional types: Carbon Sink Zones, Low-Carbon Economic Zones, Economic Development Zones, Carbon Intensity Control Zones and High-Carbon Optimization Zones, and a targeted strategy was proposed for each functional type. These results could provide a practical and transferable framework for supporting carbon neutrality planning and sustainable land use management in ecologically sensitive regions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1186/s13021-026-00471-zfirst seen 2026-06-18 05:31:27
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