江西农业大学 国土资源与环境学院,江西,南昌,330045
纸质出版:2023
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陈嘉诚, 罗志军, 罗媛. 基于低碳导向的南昌市土地利用模拟与优化调控研究[J]. 水土保持通报, 2023,43(5):365-373.
Chen Jiacheng, Luo Zhijun, Luo Yuan. Research on Land Use Simulation and Optimization Regulation in Nanchang City Based on Low-carbon Orientation[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 365-373.
陈嘉诚, 罗志军, 罗媛. 基于低碳导向的南昌市土地利用模拟与优化调控研究[J]. 水土保持通报, 2023,43(5):365-373. DOI: 10.13961/j.cnki.stbctb.2023.05.042.
Chen Jiacheng, Luo Zhijun, Luo Yuan. Research on Land Use Simulation and Optimization Regulation in Nanchang City Based on Low-carbon Orientation[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 365-373. DOI: 10.13961/j.cnki.stbctb.2023.05.042.
[目的] 对不同低碳情景下土地利用变化进行模拟,对比多情景下的碳储量和碳排放差异,为江西省南昌市的低碳发展提供相关建议。[方法] 基于碳储量最大情景和碳排放最小情景对2030年土地利用结构进行优化,并运用FLUS模型模拟南昌市多情景下土地利用的空间分布特征。[结果] ①根据数量结构优化结果,碳储量最大和碳排放最小情景下土地利用碳排放均小于自然发展情景,碳储量均大于自然发展情景。综合来看,碳汇最大化情景下土地利用数量结构优化效果更优。②根据空间结构模拟结果,低碳情景与自然发展情景相比建设用地在空间分布上相对集中,并且碳排放减少区域和碳储量增加区域主要分布于中部和南部区域。[结论] 为了早日实现南昌市碳达峰和碳中和的目标,建议优化土地利用结构,落实生态保护和耕地保护政策,控制建设用地过度扩张,加强对重点区域的调控。
[Objective] The changes in land use under different low-carbon scenarios were simulated
and the differences in carbon storage and carbon emissions under multiple scenarios were compared in order to provide relevant suggestions for the low-carbon development of Nanchang City
Jiangxi Province. [Methods] The land use structure in 2030 was optimized based on the maximum carbon storage scenario and the minimum carbon emission scenario. The FLUS model was used to simulate the spatial distribution characteristics of land use in Nanchang City under multiple scenarios. [Results] ① According to the optimization results of the quantity structure
the carbon emissions of land use under the maximum carbon storage and minimum carbon emission scenarios were smaller than under the natural development scenario
and carbon storage was greater than under the natural development scenario. Overall
the effect of quantitative structure optimization of land use under the scenario of maximum carbon sink was better. ② According to the spatial structure simulation results
construction land under the low-carbon scenario was relatively concentrated in spatial distribution compared with the natural development scenario. The areas of carbon emission reduction and carbon storage increase were mainly located in the central and southern regions. [Conclusion] It is suggested to optimize land use structure
implement ecological protection and cultivate land protection policies
limit excessive expansion of construction land
and strengthen the regulation of key areas
so as to achieve the goal of carbon peak and carbon neutrality of Nanchang City as soon as possible.
Huang Shiqi, Xi Furui, Chen Yiming, et al. Land use optimization and simulation of low-carbon-oriented: a case study of Jinhua, China[J]. Land, 2021,10(10):1020.
曹周亮,张欣蓉,员学锋,等.基于土地利用变化的陕西省县域碳排放时空变化及影响因素研究[J].水土保持通报,2022,42(5):376-385.
Wang Yao, Guo Chihui, Chen Xijie, et al. Carbon peak and carbon neutrality in China: goals, implementation path and prospects [J]. China Geology, 2021,4(4):720-746.
Wang Yilong, Wang Xuhui, Wang Kai, et al. The size of the land carbon sink in China [J]. Nature, 2022,603(7901):E7-E9.
马晓哲,王铮.土地利用变化对区域碳源汇的影响研究进展[J].生态学报,2015,35(17):5898-5907.
周嘉,王钰萱,刘学荣,等.基于土地利用变化的中国省域碳排放时空差异及碳补偿研究[J].地理科学,2019,39(12):1955-1961.
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.
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):1545-1559.
邱凤英,肖复明,郭捷,等.江西金盆山林区天然常绿阔叶林生态系统碳储量研究[J].中南林业科技大学学报,2020,40(1):105-113.
Yi Hongtao, Krause R M, Feiock R C. Back-pedaling or continuing quietly?: assessing the impact of ICLEI membership termination on cities' sustainability actions [J]. Environmental Politics, 2017,26(1):138-160.
Köne A C, Büke T. Factor analysis of projected carbon dioxide emissions according to the IPCC based sustainable emission scenario in Turkey [J]. Renewable Energy, 2019,133:914-918.
乔治,蒋玉颖,贺曈,等.土地利用变化模拟研究进展[J].生态学报,2022,42(13):5165-5176.
张晓娟,周启刚,王兆林,等.基于MCE-CA-Markov的三峡库区土地利用演变模拟及预测[J].农业工程学报,2017,33(19):268-277.
田多松,傅碧天,吕永鹏,等.基于SD和CLUE-S模型的区域土地利用变化对土壤有机碳储量影响研究[J].长江流域资源与环境,2016,25(4):613-620.
Liu Xiaoping, Liang Xun, Li Xia, et al. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects [J]. Landscape and Urban Planning, 2017,168:94-116.
林伊琳,赵俊三,陈国平,等.基于MCR-FLUS-Markov模型的区域国土空间格局优化[J].农业机械学报,2021,52(4):159-170.
吴欣昕,刘小平,梁迅,等.FLUS-UGB多情景模拟的珠江三角洲城市增长边界划定[J].地球信息科学学报,2018,20(4):532-542.
杨丽萍,张静,贡恩军,等.GEE联合多源数据的西安市土地利用时空格局及驱动力分析[J].农业工程学报,2022,38(2):279-288.
张扬,周忠发,黄登红,等.喀斯特山区耕地时空演变与影响因子分析[J].农业工程学报,2020,36(22):266-275.
王劲峰,徐成东.地理探测器: 原理与展望[J].地理学报,2017,72(1):116-134.
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.
韩增林,孟琦琦,闫晓露,等.近30年辽东湾北部区土地利用强度与生态系统服务价值的时空关系[J].生态学报,2020,40(8):2555-2566.
徐丽,何念鹏,于贵瑞.2010s中国陆地生态系统碳密度数据集[J].中国科学数据,2019,4(1):90-96.
张斌,李璐,夏秋月,等.“三线”约束下土地利用变化及其对碳储量的影响:以武汉城市圈为例[J].生态学报,2022,42(6):2265-2280.
柯新利,唐兰萍.城市扩张与耕地保护耦合对陆地生态系统碳储量的影响:以湖北省为例[J].生态学报,2019,39(2):672-683.
奚小环,李敏,张秀芝,等.中国中东部平原及周边地区土壤有机碳分布与变化趋势研究[J].地学前缘,2013,20(1):154-165.
Chuai Xiaowei, Huang Xianjin, Lai Li, et al. Land use structure optimization based on carbon storage in several regional terrestrial ecosystems across China [J]. Environmental Science & Policy, 2013,25:50-61.
Zhang Fan, Zhan Jinyan, Zhang Qian, et al. Impacts of land use/cover change on terrestrial carbon stocks in Uganda [J]. Physics and Chemistry of the Earth (Parts A/B/C, 2017,101):195-203.
张润森,濮励杰,文继群,等.建设用地扩张与碳排放效应的库兹涅茨曲线假说及验证[J].自然资源学报,2012,27(5):723-733.
孙赫,梁红梅,常学礼,等.中国土地利用碳排放及其空间关联[J].经济地理,2015,35(3):154-162.
石洪昕,穆兴民,张应龙,等.四川省广元市不同土地利用类型的碳排放效应研究[J].水土保持通报,2012,32(3):101-106.
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.
牛亚文,赵先超,胡艺觉.基于NPP-VIIRS夜间灯光的长株潭地区县域土地利用碳排放空间分异研究[J].环境科学学报,2021,41(9):3847-3856.
王刚,张华兵,薛菲,等.成都市县域土地利用碳收支与经济发展关系研究[J].自然资源学报,2017,32(7):1170-1182.
徐影,郭楠,茹凯丽,等.碳中和视角下福建省国土空间分区特征与优化策略[J].应用生态学报,2022,33(2):500-508.
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.
李国煜,王嘉怡,曹宇,等.碳排放约束下的福建省城镇建设用地利用效率动态变化与影响因素[J].中国土地科学,2020,34(4):69-77.
李缘缘,魏伟,周俊菊,等.中国土地利用碳排放变化及协调分区[J].环境科学,2023,44(3):1267-1276.
范建双,虞晓芬,周琳.南京市土地利用结构碳排放效率增长及其空间相关性[J].地理研究,2018,37(11):2177-2192.
王旭东,姚尧,任书良,等.耦合FLUS和Markov的快速发展城市土地利用空间格局模拟方法[J].地球信息科学学报,2022,24(1):100-113.
Liang Xu, Liu Xiaoping, Li Dan, et al. Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model [J]. International Journal of Geographical Information Science, 2018,32(11):2294-2316.
曹帅,金晓斌,杨绪红,等.耦合MOP与GeoSOS-FLUS模型的县级土地利用结构与布局复合优化[J].自然资源学报,2019,34(6):1171-1185.
Mei Zhixiong, Wu Hao, Li Shiyun. Simulating land-use changes by incorporating spatial autocorrelation and self-organization in CLUE-S modeling: a case study in Zengcheng District, Guangzhou, China [J]. Frontiers of Earth Science, 2018,12(2):299-310.
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