成渝双城经济圈土地利用碳排放空间格局及碳平衡分区

邓元杰; 陈航; 海宜峰; 周佳妮; 吉则丁的; 罗洎; 李兰

doi:10.13961/j.cnki.stbctb.2024.05.036

您当前的位置：

首页 >

文章列表页 >

成渝双城经济圈土地利用碳排放空间格局及碳平衡分区

试验研究

- 成渝双城经济圈土地利用碳排放空间格局及碳平衡分区
- Spatial Patterns of Carbon Emission from Land Use and Carbon Balance Partitioning in Chengdu-Chongqing Economic Zone
- 水土保持通报 2024年43卷第5期页码：337-346
- 作者机构：
  
  1. 四川轻化工大学经济学院,四川,自贡,643000
  2. 四川轻化工大学经济学院农业经济研究中心,四川,自贡,643000
  3. 宜宾市农业科学院,四川,宜宾,644000
- 作者简介：
- 基金信息：
  
  长江上游航运物流协同创新中心项目“宜宾市减污降碳协同效应的时空演变及影响机制研究”(XTCX2023A01);成渝地区双城经济圈川南发展研究院资助(CYQCNY20234);四川省农村社区治理研究中心资助项目(SQZL2023C03);四川省大学生创新训练计划项目(S202410622069)
- DOI：10.13961/j.cnki.stbctb.2024.05.036
  中图分类号： X321;F301.24
- 纸质出版：2024
- 稿件说明：
移动端阅览
邓元杰, 陈航, 海宜峰, 等. 成渝双城经济圈土地利用碳排放空间格局及碳平衡分区[J]. 水土保持通报, 2024,43(5):337-346.

Deng Yuanjie, Chen Hang, Hai Yifeng, et al. Spatial Patterns of Carbon Emission from Land Use and Carbon Balance Partitioning in Chengdu-Chongqing Economic Zone[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 337-346.
邓元杰, 陈航, 海宜峰, 等. 成渝双城经济圈土地利用碳排放空间格局及碳平衡分区[J]. 水土保持通报, 2024,43(5):337-346. DOI： 10.13961/j.cnki.stbctb.2024.05.036.

Deng Yuanjie, Chen Hang, Hai Yifeng, et al. Spatial Patterns of Carbon Emission from Land Use and Carbon Balance Partitioning in Chengdu-Chongqing Economic Zone[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 337-346. DOI： 10.13961/j.cnki.stbctb.2024.05.036.

摘要

[目的] 在“双碳”目标下，研究土地利用对碳排放、碳吸收以及碳平衡的影响，为国土空间规划提供依据。[方法] 以成渝经济圈作为研究区，基于土地利用和社会经济数据，并采用系数法测算研究区2000—2022年的碳收支量并探讨其时空格局差异，通过经济贡献率和生态承载系数从多角度对处理后的结果进行碳平衡分区，并提出具有针对性的策略。[结果] ①碳排放量总体上呈现上升趋势，耕地和建设用地是最主要的碳源，在空间上主要分布在研究区域的成都平原地区以及重庆市区。②碳吸收总量呈现上升趋势，碳汇的主要来源为林地，在空间上主要分布在研究区域周边的山区。③净碳排放总量增幅达273%。实现碳平衡县域由23个减少至10个。④基于碳平衡分析，根据净碳排放量、经济贡献率等指标，将优质农产品产区等区域划分为低碳发展区，人稠地窄的核心发达区域划分为碳强度控制区，传统工业区域划分为高碳优化区，将生态屏障区划分为碳汇功能区。[结论] 成渝经济圈碳排放时空差异具有相应规律性，碳吸收空间较稳定，可以根据国土分区优化方案对土地资源利用结构进一步进行更精细化调整，推动经济圈低碳发展和可持续发展。

Abstract

[Objective] Under the “double carbon” goal

the impact of land use on carbon emission

absorption

and balance was examined to provide a basis for national spatial planning. [Methods] The Chengdu-Chongqing economic zone was taken as the study area

based on land use and socio-economic data

and the coefficient method was adopted to measure the carbon balance of the study area from years 2000 to 2022. The study then explored the differences in the spatial and temporal patterns of the area and conducted carbon balance zoning of the processed results from multiple perspectives using the economic contribution rate and ecological carrying capacity coefficient. Lastly

a targeted strategy was proposed. [Results] ① Carbon emissions generally showed an upward trend

and cropland and construction land were the most important sources of carbon. These land types were spatially distributed mainly in the Chengdu Plain and Chongqing metropolitan areas of the study area. ② The total amount of carbon sequestration showed an upward trend

and the main source of carbon sinks was forest land

which was spatially distributed mainly in the mountainous areas around the study area. ③ Total net carbon emissions increased by 273%. The number of counties achieving carbon balance reduced from 23 to 10. ④ Based on carbon balance analysis

indicators of net carbon emissions

and economic contribution rate

among others

high-quality agricultural production areas were classified as low-carbon development zones

densely populated and narrowly developed core areas as carbon-intensity control zones

traditional industrial areas as high-carbon optimization zones

and ecological barrier zones as carbon sink functional zones. [Conclusion] The spatial and temporal differences in carbon emissions in the Chendu-Chongqing ecomic zone had corresponding regularities

and the carbon absorption space were more stable. Therefore

to promote the low-carbon and sustainable development of the economic zone

the land resource utilization structure can be further adjusted in a more refined way according to the land zoning optimization plan.

关键词

Keywords

references

Huang Hanzhi, Jia Junsong, Chen Dilan, et al. Evolution of spatial network structure for land-use carbon emissions and carbon balance zoning in Jiangxi Province: A social network analysis perspective [J]. Ecological Indicators, 2024,158:111508.

Zhang Da, Huang Xiaodan, Zhong Junting, et al. A representative CO

emissions pathway for China toward carbon neutrality under the Paris Agreement’s 2℃ target [J]. Advances in Climate Change Research, 2023,14(6):941-951.

Barati A, Zhoolideh M, Azadi H, et al. Interactions of land-use cover and climate change at global level: How to mitigate the environmental risks and warming effects [J]. Ecological Indicators, 2023,146:109829.

曹炜.“双碳” 目标下的流域生态环境保护规划: 理念更新与措施调适[J].中国人口·资源与环境,2022,32(12):31-40. Cao Wei. Watershed ecological and environmental protection planning under the ‘dual carbon’ goals: Concept renewal and measure adjustment [J]. China Population, Resources and Environment, 2022,32(12):31-40.

赵佳文,晁云舒,肖兰,等.海岛碳排放核算与时空特征: 以东山岛为例[J].生态学报,2024,44(6):2216-2227. Zhao Jiawen, Chao Yunshu, Xiao Lan, et al. Calculation of carbon emission and its spatio-temporal characteristics in Dongshan Island, Fujian Province [J]. Acta Ecologica Sinica, 2024,44(6):2216-2227.

詹绍奇,张旭阳,陈孝杨,等.2000—2020年淮南矿区土地利用变化对碳源/碳汇时空格局的影响[J].水土保持通报,2023,43(3):310-319. Zhan Shaoqi, Zhang Xuyang, Chen Xiaoyang, et al. Effects of landuse change on spatial and temporal patterns of carbon sources/sinks in Huainan mining area from 2000 to 2020[J]. Bulletin of Soil and Water Conservation, 2023,43(3):310-319.

黄汉志,贾俊松,张振旭.江西县域土地利用变化碳排放时空演变及其影响因素[J].生态学报,2023,43(20):8390-8403. Huang Hanzhi, Jia Junsong, Zhang Zhenxu. Spatiotemporal pattern evolution and influencing factors of land-use carbon emissions in counties, Jiangxi Province [J]. Acta Ecologica Sinica, 2023,43(20):8390-8403.

He Jie, Yang Jun. Spatial-temporal characteristics and influencing factors of land-use carbon emissions: An empirical analysis based on the GTWR model [J]. Land, 2023,12(8):1506.

杨蕴琦,郝晋珉,张金懿,等.曲周县土地利用碳排放测算及情景预测研究[J].中国农业大学学报,2024,29(2):160-175. Yang Yunqi, Hao Jinmin, Zhang Jinyi, et al. Carbon emission measurement and prediction of land use in Quzhou County based on carbon neutrality target [J]. Journal of China Agricultural University, 2024,29(2):160-175.

Li Yingxue, Liu Zhaoshun, Li Shujie, et al. Multi-scenario simulation analysis of land use and carbon storage changes in Changchun City based on FLUS and InVEST model [J]. Land, 2022,11(5):647.

李语诗,夏志业,张蕾.基于SSPs多情景目标的2030年成渝经济圈土地利用碳排放预测及其空间优化[J].生态环境学报,2023,32(3):535-544. Li Yushi, Xia Zhiye, Zhang Lei. Carbon emission prediction and spatial optimization of land use in Chengdu-Chongqing economic circle in 2030 based on SSPs multi-scenarios [J]. Ecology and Environmental Sciences, 2023,32(3):535-544.

韦彦汀,李思佳,张华.成渝城市群碳排放时空特征及其影响因素[J].中国环境科学,2022,42(10):4807-4816. Wei Yanting, Li Sijia, Zhang Hua. Temporal-spatial evolution of carbon emission and driving factors in the Chengdu-Chongqing urban agglomeration [J]. China Environmental Science, 2022,42(10):4807-4816.

黄庆华,向静,潘婷.成渝地区双城经济圈产业融合发展: 水平测度、时空分布及动力机制[J].重庆大学学报(社会科学版),2023,29(6):17-35. Huang Qinghua, Xiang Jing, Pan Ting. Industrial convergence and development of Chengdu-Chongqing Double-city Economic Circle: Level measurement, spatiotemporal distribution and dynamic mechanism [J]. Journal of Chongqing University (Social Science Edition), 2023,29(6):17-35.

Zhang Yan, Zhang Luoqi, Wang Junyi, et al. Quantitative analysis of NDVI driving factors based on the geographical detector model in the Chengdu-Chongqing Region, China [J]. Ecological Indicators, 2023,155:110978.

曾华九.铸牢中华民族共同体意识实践路径探赜：以双城经济圈为中心考察[J].湖北经济学院学报(人文社会科学版),2023,20(8):29-32. Zeng Huajiu. Exploring the Practical Path of Forging the community consciousness of the chinese nation-investigating with the twin cities economic circle as the center [J]. Journal of Hubei University of Economics (Humanities and Social Sciences ) ,2023,20(8):29-32.

Yang Jie, Huang Xin. 30 m annual land cover and its dynamics in China from 1990 to 2019[J]. Earth System Science Data Discussions, 2021,2021:1-29.

陈靖松,张建军,李金龙,等.京津冀地区碳排放时空格局变化及其驱动因子[J].生态学报,2024,44(6):2270-2283. Chen Jingsong, Zhang Jianjun, Li Jinlong, et al. Spatio-temporal pattern of carbon emissions and its driving factors in the Beijing-Tianjin-Hebei region [J]. Acta Ecologica Sinica, 2024,44(6):2270-2283.

吴蒙,王琳琳,程进.长三角城市群国土空间碳汇冲突测度及空间格局特征分析[J].资源科学,2022,44(10):2048-2059. Wu Meng, Wang Linlin, Cheng Jin. Territorial carbon sink conflict measurement and its spatial pattern in the Yangtze River delta urban agglomeration [J]. Resources Science, 2022,44(10):2048-2059.

张杰,陈海,刘迪,等.基于县域尺度土地利用碳排放的时空分异及影响因素研究[J].西北大学学报(自然科学版),2022,52(1):21-31. Zhang Jie, Chen Hai, Liu Di, et al. The spatial and temporal variation and influencing factors of land use carbon emissions at county scale [J]. Journal of Northwest University (Natural Science Edition), 2022,52(1):21-31.

Rong Tianqi, Zhang Pengyan, Zhu Huiru, et al. Spatial correlation evolution and prediction scenario of land use carbon emissions in China [J]. Ecological Informatics, 2022,71:101802.

彭文甫,周介铭,徐新良,等.基于土地利用变化的四川省碳排放与碳足迹效应及时空格局[J].生态学报,2016,36(22):7244-7259. Peng Wenfu, Zhou Jieming, Xu Xinliang, et al. Effect of land use changes on the temporal and spatial patterns of carbon emissions and carbon footprints in the Sichuan Province of Western China, from 1990 to 2010[J]. Acta Ecologica Sinica, 2016,36(22):7244-7259.

中国国土资源报.低碳排放:土地利用调控新课题[EB/OL].(2023-12-16)[2024-01-14].https://www.mnr.gov.cn/dt/ywbb/201810/t20181030_2249226.html. The Ministry of Land and Resources of the People’s Republic of China. Low Carbon Emissions: A New Topic of Land Use Regulation [EB/OL]. (2009-12- 25) [2021- 06- 17]. https://www.mnr.gov.cn/dt/ywbb/201810/t20181030_2249226.html.

易丹,欧名豪,郭杰,等.土地利用碳排放及低碳优化研究进展与趋势展望[J].资源科学,2022,44(8):愱渵搴‵椭渱昵氵甹攮渠捙楩渠杄?普愬挠瑏潵爠獍?潮晧?捡慯爬戠潇湵?猠潊畩牥挬攠獥?猠楡湬欮猠?楲湯?瑲桥敳?夠慡湮杤琠穰敲?剳楰癥散牴??敦氠瑲慥?略湡摲散牨?捯慮爠扬潡湮?渠敵畳瑥爠慣污楲瑢祯?琠慥牭杩敳瑳?孯??传?嵮??孬?ぷ木??ひ????嵯??湩癭楩牺潡浴浩敯湮琠慛汊?匮挠楒敥湳捯敵????ㄠ???桥瑮瑣灥猬???搲漲椬?漴爨朸??????木㈱??樹?格橢歲砾?有?????????迪,朴世龙,等.1981—2000年中国陆地植被碳汇的估算[J].中国科学(D辑: 地球科学),2007,37(6):804-812. Fang Jingyun, Guo Zhaodi, Piao Shilong, et al. Estimation of carbon sinks of terrestrial vegetation in China from 1981 to 2000[J]. Science in China (Series D: Earth Sciences), 2007,37(6):804-812.

Yu Ziqi, Chen Longqian, Tong Haixia, et al. Spatial correlations of land-use carbon emissions in the Yangtze River delta region: A perspective from social network analysis [J]. Ecological Indicators, 2022,142:109147.

郑永超,文琦.宁夏自治区土地利用变化及碳排放效应[J].水土保持研究,2020,27(1):207-212. Zheng Yongchao, Wen Qi. Change of land use and the carbon emission effect of Ningxia Autonomous Region [J]. Research of Soil and Water Conservation, 2020,27(1):207-212.

王争光.京津冀地区土地利用碳中和及国土空间优化研究[D].河北石家庄:河北地质大学,2022.

杨静媛,张明,多玲花,等.江西省土地利用碳排放空间格局及碳平衡分区[J].环境科学研究,2022,35(10):2312-2321. Yang Jingyuan, Zhang Ming, Duo Linghua, et al. Spatial pattern of land use carbon emissions and carbon balance zoning in Jiangxi Province [J]. Research of Environmental Sciences, 2022,35(10):2312-2321.

夏四友,杨宇.基于主体功能区的京津冀城市群碳收支时空分异与碳补偿分区[J].地理学报,2022,77(3):679-696. Xia Siyou, Yang Yu. Spatio-temporal differentiation of carbon budget and carbon compensation zoning in Beijing-Tianjin-Hebei Urban Agglomeration based on the Plan for major function-oriented zones [J]. Acta Geographica Sinica, 2022,77(3):679-696.

李建豹,陈红梅,张彩莉,等.长三角地区碳源碳汇时空演化特征及碳平衡分区[J].环境科学，2024,45(7):4090-4100. Li Jianbao, Chen Hongmei, Zhang Caili, et al. Spatiotemporal evolution characteristics of carbon sources and carbon sinks and carbon balance zoning in the Yangtze River delta region [J]. Environmental Science, 2024,45(7):4090-4100.

杜海波,杨山,李振亚,等.碳中和目标下长三角碳源/汇时空特征及其影响因素[J/OL].环境科学,1-13[2024-08-26].https://doi.org/10.13227/j.hjkx.202312107. Du Haibo, Yang Shan, Li Zhenya. Spatio-temporal characteristics

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

福建省土地利用变化碳排放时空差异与碳补偿

2000-2020年河南省土地利用强度与碳排放脱钩关系

云南省土地利用碳排放时空演变特征及影响因素

宁夏土地利用碳排放强度时空变化与效应

城乡融合背景下秦巴山区县域“三生”空间时空演变