河南农业大学 资源与环境学院,河南,郑州,450046
纸质出版:2023
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孟庆香, 刘祺, 李保路, 等. 2000-2020年河南省土地利用强度与碳排放脱钩关系[J]. 水土保持通报, 2023,43(3):421-429.
Meng Qingxiang, Liu Qi, Li Baolu, et al. Decoupling Relationship Between Land Use Intensity and Carbon Emissions in Henan Province During 2000-2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 421-429.
孟庆香, 刘祺, 李保路, 等. 2000-2020年河南省土地利用强度与碳排放脱钩关系[J]. 水土保持通报, 2023,43(3):421-429. DOI: 10.13961/j.cnki.stbctb.20230216.003.
Meng Qingxiang, Liu Qi, Li Baolu, et al. Decoupling Relationship Between Land Use Intensity and Carbon Emissions in Henan Province During 2000-2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 421-429. DOI: 10.13961/j.cnki.stbctb.20230216.003.
[目的] 测度土地利用碳排放效应,探索土地利用与碳排放之间的脱钩关系,进而揭示土地利用变化的碳排放规律,为制定资源保护和生态文明政策提供科学依据。[方法] 以中国农业典型生产中心地区、中国人口大省——河南省为研究区域,基于近20 a间土地利用现状遥感监测数据,从县域尺度研究土地利用碳排放和土地利用强度的时空格局演变特征,并借助于脱钩分析的理论框架来检测它们之间的脱钩关系。[结果] ①在研究期间,碳排放呈现出明显的空间异质性。豫中地区、豫北地区碳排放水平明显高于其他区域;平原地区和大城市周边地区的碳排放明显高于山区和丘陵地区。②研究期间土地利用强度持续增加,豫中地区土地利用强度明显高于豫南地区,而豫北地区土地利用强度分布表现出明显的空间集聚现象。③研究期间土地利用强度和碳排放二者的主要关系类型为扩张负脱钩和强脱钩,需要从资源高消耗、高碳排放的双高模式不断向资源低消耗、低碳排放的低碳发展模式转变。[结论] 不同阶段、不同地区在土地利用强度与碳排放之间的脱钩关系程度方面有着明显差异,应采用差异性管控政策,促进生态环境保护和经济发展之间形成协调稳定的发展关系。
[Objective] The land use carbon emissions were measured
the decoupling relationship between land use and carbon emissions were determined
and the carbon emission pattern of land use change was revealed in order to provide a scientific basis for the formulation of resource protection and ecological civilization policies.[Methods] The study was conducted in Henan Province
a typical agricultural production center in China having a large population. The evolution characteristics of spatial and temporal patterns of land use carbon emissions and land use intensity at the county scale were determined based on remote sensing monitoring data of the current land use situation during the past 20 years. The decoupling relationship between land use intensity and carbon emissions was determined with the help of a theoretical framework of decoupling analysis.[Results] ① Carbon emissions during the study period showed obvious spatial heterogeneity. Carbon emission levels in central and Northern Henan Province were significantly greater than in other regions. Carbon emissions in the plain areas and areas around large cities were significantly greater than in mountainous and hilly areas. ② Land use intensity continued to increase during the study period
and land use intensity in the central region of Henan Province was significantly greater than in the southern region. The distribution of land use intensity in the northern region of Henan Province showed obvious spatial clustering. ③ The relationship between land use intensity and carbon emissions during the study period was mainly characterized as either expansion negative decoupling and strong decoupling. It is necessary to continuously shift from the double-high model of high resource consumption and high carbon emissions to the low-carbon development model of low resource consumption and low carbon emissions.[Conclusion] There were obvious differences in the degree of decoupling between land use intensity and carbon emissions at different stages and in different regions. Therefore
different control policies should be adopted to promote a coordinated and stable development relationship between ecological environmental protection and economic development.
Mooney H A, Duraiappah A, Larigauderie A. Evolution of natural and social science interactions in global change research programs[J]. Proceedings of the National Academy of Sciences of the United States of America, 2013,110(S1):3665-3672.
Aboumahboub T. On the CO
2
emissions of the global electricity supply sector and the influence of renewable power-modeling and optimization[J]. Energy Policy, 2012,42:297-314.
孙建卫,赵荣钦,黄贤金,等.1995-2005年中国碳排放核算及其因素分解研究[J].自然资源学报,2010,25(8):1284-1295.
汪晗,吴静兰,张安录,等.土地利用强度碳排放效应分析:以广西南宁为例[J].生态经济,2016,32(9):42-46.
Zhou Xing. A comparative study on decoupling relationship and influence factors between China's regional economic development and industrial energy-related carbon emissions[J]. Journal of Cleaner Production, 2017,142:783-800.
Li Yina. Decoupling analysis of carbon emission from construction land in Shanghai[J]. Journal of Cleaner Production, 2019,210:25-34.
王尧.京津冀经济增长与碳排放脱钩效应研究[D].天津:天津理工大学,2019.
陈芷君,刘毅华,林华荣.广东省土地利用碳排放与经济增长之间的脱钩分析[J].生态经济,2018,34(5):26-32.
陈万旭,李江风,朱丽君.长江中游地区生态系统服务价值空间分异及敏感性分析[J].自然资源学报,2019,34(2):325-337.
徐泽,李储,牛陆.呼包鄂榆城市群土地混合利用与碳排放的脱钩关系[J].环境科学研究,2022,35(1):299-308.
郑金铃.城市、城市群与居民碳排放:基于紧凑空间形态的研究[J].经济与管理,2016,30(1):89-96.
胡和兵,刘红玉,郝敬锋,等.城市化流域生态系统服务价值时空分异特征及其对土地利用程度的响应[J].生态学报,2013,33(8):2565-2576.
马远,刘真真.黄河流域土地利用碳排放的时空演变及影响因素研究[J].生态经济,2021,37(7):35-43.
景勇,左玲丽,彭文甫.四川盆地西北部土地利用碳排放时空变化分析:以绵阳市为例[J].环境科学与技术,2021,44(06):172-185.
袁壮壮,叶长盛,李辉丹.基于土地利用变化的南昌市碳排放效应分析[J].湖南师范大学自然科学学报,2021,44(5):30-39.
周璟茹,赵华甫,吴金华.关中城市群土地集约利用与碳排放关系演化特征研究[J].中国土地科学,2017,31(11):55-61.
何勇,姜允迪,丹利,等.中国气候、陆地生态系统碳循环研究[M].北京:气象出版社,2006.
方精云,郭兆迪,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.
肖红艳,袁兴中,李波,等.土地利用变化碳排放效应研究:以重庆市为例[J].重庆师范大学学报(自然科学版),2012,29(1):38-42.
李颖.江苏省农业能源消耗碳排放与经济发展脱钩分析[J].农业与技术,2021,41(24):77-80.
朴世龙,方精云,黄耀.中国陆地生态系统碳收支[J].中国基础科学,2010,12(2):20-22.
赖力.中国土地利用的碳排放效应研究[D].江苏南京:南京大学,2010.
石龙宇,崔胜辉,尹锴,等.厦门市土地利用/覆被变化对生态系统服务的影响[J].地理学报,2010,65(6):708-714.
沈薇,翁翎燕,刘柄麟,等.浙江省土地利用碳排放效应研究[J].资源与产业,2020,22(1):61-68.
宋旭,贾俊松,陈春谛,等.江西省能耗碳排放时空特征、脱钩关系及其驱动因素[J].生态学报,2020,40(20):7451-7463.
Li Shicheng, Bing Zilu, Jin Gui. Spatially explicit mapping of soil conservation service in monetary units due to land use/cover change for the Three Gorges Reservoir area, China[J]. Remote Sensing, 2019,11(4):468.
罗红.泸州市农业碳排放公平性评价与脱钩弹性关系分析[D].四川成都:四川师范大学,2020.
张志高,袁征,刘雪,等.基于投入视角的农业碳排放与经济增长的脱钩效应分析:以河南省为例[J].水土保持研究,2017,24(5):272-278.
李玉玲,李世平,祁静静.陕西省土地利用碳排放影响因素及脱钩效应分析[J].水土保持研究,2018,25(1):382-390.
陈万旭,曾杰.中国土地利用程度与生态系统服务强度脱钩分析[J].自然资源学报,2021,36(11):2853-2864.
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