基于InVEST模型的晋北土地利用变化与碳储量研究

    Study on land use change and carbon stock in northern Shanxi Province based on InVEST model

    • 摘要: 区域土地利用变化和碳储量的空间分布特征研究可为区域生态系统碳库管理和减排增汇政策制定提供重要科学依据。采用GIS和遥感技术分析了晋北地区1990年、2000年、2013年和2019年的土地利用变化特征,在此基础上,运用InVEST模型计算出晋北地区1990—2019年间生态系统碳储量和碳密度。结果表明,各土地利用类型之间的转换主要发生在2000—2013年间,转出面积最多的为耕地,转入面积最多的为建设用地和林地。这与该时段退耕还林政策的实施和粗放型经济快速增长有关。研究区1990年、2000年、2013年和2019年生态系统碳储量分别为53.50×107 t、53.53×107 t、54.25×107 t和54.00×107 t,碳平均密度分别为147.89 t/hm2、147.97 t/hm2、149.95 t/hm2和149.27 t/hm2。在总体碳储量中,土壤碳储量占比最大,超过80%,而林地对研究区生态系统碳储量的贡献值最大(约55%)。晋北地区应继续坚持退耕还林、水土保持等措施,以期能够用高效固碳来代偿建设用地扩张导致的碳损失。

       

      Abstract: The study on the spatial distribution characteristics of regional land use change and carbon stock can provide an important scientific basis for the management of regional ecosystem carbon pools and the formulation of emission reduction and sink enhancement policies. Using GIS and remote sensing technology, this paper analyzes the change characteristics of spatial land use types in North Shanxi in 1990, 2000, 2013 and 2019, InVEST model was used to calculate the carbon storage and carbon density of the ecosystem in the study area. The results show that the conversion between land use types mainly occurred during 2000—2013, with the largest area transferred out being cropland and the largest area transferred in being construction land and forest land. Ecosystem carbon stocks in the study area during 1990, 2000, 2013 and 2019 were 53.50×107 t, 53.53×107 t, 54.25×107 t and 54.00×107 t, respectively, with an average carbon density of 147.89 t/hm2, 147.97 t/hm2, 149.95 t/hm2 and 149.27 t/hm2. Among the overall carbon stocks, soil carbon stocks accounted for the largest share, over 80%, while forest land contributed the largest value (about 55%) to the ecosystem carbon stocks in the study area. Measures such as returning farmland to forest and soil conservation should be continued in northern Shanxi Province, in order to be able to compensate for the carbon loss caused by the expansion of construction land with efficient carbon sequestration.

       

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