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文章摘要
基于InVEST模型的省域经济林碳储量变化及空间格局研究
A Study on Variation and Spatial Pattern of Carbon Storage in Economic Forest in Provinces Based on InVEST Model
  
DOI:
中文关键词: 碳储量  空间格局  InVEST模型  地理探测器  景观格局指数  柑橘经济林
英文关键词: Carbon storage  Spatial pattern  InVEST model  Geographical detector  Landscape pattern index  Citrus economic forest
基金项目:国家自然科学基金资助项目(42061059);广西自然科学基金资助项目(2023JJA150097);桂林市科技局创新示范基金资助项目(20230120-13)
作者单位
李嘉欣 桂林理工大学测绘地理信息学院生态时空大数据感知服务重点实验室 
廖艺红 桂林理工大学测绘地理信息学院生态时空大数据感知服务重点实验室 
刘丹丹 攀枝花学院土木与建筑工程学院 
窦世卿 桂林理工大学测绘地理信息学院生态时空大数据感知服务重点实验室 
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中文摘要:
      基于GEE平台利用中高分辨率遥感影像制作高精度土地利用数据,通过InVEST模型和GIS技术分析广西柑橘林2019—2023年的碳储量变化,探讨土地类型转换对碳储量的影响,利用地理探测器揭示其驱动因素,并结合景观格局指数与相关性分析研究区柑橘林扩张对碳储量和景观格局的影响。结果表明:2019—2023年广西碳储量总体增长208×106t,柑橘林面积净增278 34951hm2,二者增长间呈正相关关系;坡度是影响广西碳储量变化的主要驱动因素;斑块数量、景观形状指数与碳储量呈显著正相关。
英文摘要:
      According to high precision land use data from medium to high resolution remote sensing images by using Google Earth Engine (GEE), this paper analyzed the changes of carbon storage in citrus forest in Guangxi from 2019 to 2023 and the impact of land type conversion on carbon storage by InVEST model and GIS technologies. It detected the driving factors with geographic detectors and studied the impact of the expansion of citrus forest on carbon storage and landscape pattern by landscape pattern index and correlation analysis. The results showed that from 2019 to 2023, the overall carbon storage in Guangxi increased by 2.08×106 t, and the net increase in the area of citrus forest was 278 349.51 hm2. The growth of the two was positively correlated. Slope was the main driving factor affecting the change of carbon storage in Guangxi. The number of patches and the landscape shape index were significantly positively correlated with carbon storage.
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