周姣娣, 鲁栋梁, 许玉萍, 梁生康, 黄鹄. 基于InVEST和GIS模型的广西北部湾沿海地区碳储量时空演变研究[J]. 海洋环境科学, 2024, 43(5): 715-722, 732. DOI: 10.12111/j.mes.2023-x-0213
引用本文: 周姣娣, 鲁栋梁, 许玉萍, 梁生康, 黄鹄. 基于InVEST和GIS模型的广西北部湾沿海地区碳储量时空演变研究[J]. 海洋环境科学, 2024, 43(5): 715-722, 732. DOI: 10.12111/j.mes.2023-x-0213
ZHOU Jiaodi, LU Dongliang, XU Yuping, LIANG Shengkang, HUANG Hu. Study on carbon storage space-time evolution in the coastal area of Guangxi Beibu Gulf based on InVEST and GIS model[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2024, 43(5): 715-722, 732. DOI: 10.12111/j.mes.2023-x-0213
Citation: ZHOU Jiaodi, LU Dongliang, XU Yuping, LIANG Shengkang, HUANG Hu. Study on carbon storage space-time evolution in the coastal area of Guangxi Beibu Gulf based on InVEST and GIS model[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2024, 43(5): 715-722, 732. DOI: 10.12111/j.mes.2023-x-0213

基于InVEST和GIS模型的广西北部湾沿海地区碳储量时空演变研究

Study on carbon storage space-time evolution in the coastal area of Guangxi Beibu Gulf based on InVEST and GIS model

  • 摘要: 本文基于InVEST和GIS模型探究了2000-2020年广西北部湾沿海地区碳储量时空演变格局,结果表明:(1)2000-2020年,不同土地利用类型发生了显著变化,耕地面积减少了5.94%,建设用地面积增长了103.58%,林地面积增长了1.2%,20年间土地转移面积增长了13.65%。(2)2000年、2005年、2010年、2015年、2020年的碳储量分别为21.66×106 t、21.71×106 t、21.77×106 t、21.67×106 t、21.75×106 t,呈现波动增长趋势,累计增长9.22×104 t。碳储量的变化主要受到不同土地类型之间相互转换的影响,而林地则是主要的碳库。(3)从全局空间相关性可知,5个时期碳储量呈现出一定的空间趋同集聚现象;根据局部空间相关性可知,高−高集聚区域占研究区域面积的27%~38%,主要分布在防城港十万大山区和钦州五峰山周边,低−低集聚区域占研究区域面积的5.5%~8.9%,主要分布于人口众多、建设用地面积大的钦州、北海、防城港主城区。该研究结果可以为落实国家“双碳”战略目标、测算现有的碳储量和碳汇量,以及促进早日实现碳达峰和碳中和提供数据支撑。

     

    Abstract: In the paper, based on InVEST and GIS models, we explore the spatial-temporal evolution pattern of carbon storage in the coastal area of Beibu Gulf in Guangxi from 2000 to 2020. The results show that: (1) During 2000-2020, the land use type will change dramatically, and the cultivated land area will decrease by 5.94%, Construction land area increased by 103.58%, the change of forest area was d relatively small, only increasing by 1.2%. Over the past 20 years, 13.65% of the land has been transferred. (2) The carbon reserves in the study area in 2000, 2005, 2010, 2015 and 2020 were 21.66×106 t, 21.71×106 t, 21.77×106 t, 21.67×106 t and 21.75×106 t, respectively, showing a band growth trend. The total increase is 9.22×104 t. The main factor in the variation of carbon storage is the conversion between different land types, with forested land bing the most important carbon store in the study area. (3) From the perspective of global spatial correlation, carbon storage in the five periods showed a certain spatial convergence and agglomeration phenomenon. From the local spatial correlation, it can be seen that high-high clustering areas account for 27% to 38% of the research area, mainly distributed in the 100000 Dashan area of Fangchenggang and the surrounding area of Wufeng mountain in Qinzhou, The low-low agglomeration area accounts for 5.5% to 8.9% of the research area, mainly distributed in the towns of Qinzhou、Beihai and Fangchenggang city, with large population and large construction land area. The results provide data support for the implementation of the national “dual carbon” strategy, the measurement of existing carbon stocks and carbon sinks, and the promotion of carbon peaking and carbon neutrality.

     

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