[基于土地利用碳预算差异的重庆市碳补偿优先区域识别]。

Q2 Environmental Science
Huai-Yu Huang, Zhi-Wen Gong, Xiao-Juan Chen, Ran Huo, Qian-Qian Wang
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引用次数: 0

摘要

本研究旨在探讨土地利用碳预算的时空格局和平衡特征,测算碳补偿价值,划分碳补偿类型区,为进一步加强生态补偿制度建设与 "双碳 "目标任务的衔接提供科学参考。本研究基于 2000-2020 年重庆市土地覆被数据,分析了土地利用碳预算的时空动态和平衡关系特征。利用修订后的碳补偿模型测算横向补偿标准、归一化显现比较优势(NRCA)指数和 K-均值聚类分析方法来划分碳补偿区域。研究结果表明:①2000-2020 年重庆市土地利用碳汇总量增长缓慢,而碳排放量持续大幅增加,碳净排放量呈现 "中部高、两翼低 "的分布格局。重庆市平均变异系数为 0.602,碳排放经济贡献系数和碳生态支持系数分别集中在 0.64-1.14 和 0.00-32.86 之间。区县间碳排放贡献和经济效益差异较小,但存在碳供需错配。③ 碳补偿价值存在明显的空间差异,碳支付总额和碳补偿总额分别为 10.98 亿元和 6.34 亿元。此外,最终确定了 8 个重点支付区、7 个一般支付区、3 个重点补偿区和 20 个一般补偿区。总之,研究成果可为不同类型碳补偿区域实施差异化发展战略提供参考,提高区域生态环境协同治理能力,促进碳中和目标的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Identification of Priority Areas for Carbon Compensation in Chongqing Based on the Difference in Land Use Carbon Budget].

This study aimed to explore the spatiotemporal patterns and balance characteristics of land use carbon budget, measure the value of carbon compensation, and delineate carbon compensation type zoning to provide scientific reference for further strengthening the connection between the construction of an ecological compensation system and the "dual carbon" target task. Based on the land cover data of Chongqing from 2000 to 2020, this study analyzed the spatiotemporal dynamics and balance relationship characteristics of the land use carbon budget. By using the revised carbon compensation model to measure the horizontal compensation standards, the normalized revealed comparative advantage (NRCA) index and K-means clustering analysis method were used to divide the carbon compensation area. The research results demonstrated that: ① the total land use carbon sequestration in Chongqing grew slowly from 2000 to 2020, whereas carbon emissions continued to increase significantly, and the net carbon emissions showed a distribution pattern of "high in the center and low in the two wings." ② The average coefficient of variation in Chongqing was 0.602, and the carbon emission economy contributive coefficient and carbon ecological support coefficient were concentrated between 0.64-1.14 and 0.00-32.86, respectively. The difference in the contribution of carbon emissions and economic benefits between districts and counties was relatively small, but there was a mismatch between carbon supply and demand. ③ A significant spatial difference existed in the value of carbon compensation, with a total of 1.098 billion yuan in carbon payment and 634 million yuan in carbon compensation, respectively. Moreover, it was ultimately determined that there were eight key payment areas, seven general payment areas, three key compensation areas, and 20 general compensation areas. In conclusion, the research results can provide a reference for implementing differentiated development strategies in different types of carbon compensation regions, improve the collaborative governance capacity of the regional ecological environment, and promote the achievement of carbon neutrality goals.

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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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