郭佳晖, 刘晓煌, 张文博, 邢莉圆, 王然, 雒新萍, 王超, 赵宏慧, 杨朝磊. 0: 基于InVEST模型云贵高原碳储量与生境分析与预测. 地质通报. DOI: 10.12097/gbc.2023.11.016
    引用本文: 郭佳晖, 刘晓煌, 张文博, 邢莉圆, 王然, 雒新萍, 王超, 赵宏慧, 杨朝磊. 0: 基于InVEST模型云贵高原碳储量与生境分析与预测. 地质通报. DOI: 10.12097/gbc.2023.11.016
    Jiahui GUO, Xiaohuang LIU, Wenbo ZHANG, Liyuan XING, Ran WANG, Xinping LUO, Chao WANG, honghui zhao, Chaolei YANG. 0: Analysis and prediction of carbon stocks and habitats in the Yunnan-Guizhou Plateau based on the InVEST model. Geological Bulletin of China. DOI: 10.12097/gbc.2023.11.016
    Citation: Jiahui GUO, Xiaohuang LIU, Wenbo ZHANG, Liyuan XING, Ran WANG, Xinping LUO, Chao WANG, honghui zhao, Chaolei YANG. 0: Analysis and prediction of carbon stocks and habitats in the Yunnan-Guizhou Plateau based on the InVEST model. Geological Bulletin of China. DOI: 10.12097/gbc.2023.11.016

    基于InVEST模型云贵高原碳储量与生境分析与预测

    Analysis and prediction of carbon stocks and habitats in the Yunnan-Guizhou Plateau based on the InVEST model

    • 摘要: 碳储量与生境质量是评价生态系统服务功能的两个重要指标,可为生态系统的保护和管理提供基础科学依据。本研究利用PLUS模型对云贵高原2025、2030年土地利用数据进行了预测,利用InVEST模型对该地区2000-2030年的碳储量与生境质量进行了时空分析;分别从坡度、海拔、四级区划、土地利用探究其与结果的关系,并探究其驱动因子。结果表明:(1)2000-2030年碳储量(×109t)分别为:7.392、7.389、7.403、7.406、7.426、7.249、6.921;生境质量为0.770、0.765、0.760、0.757、0.752、0.7301、0.7547;(2)林地对碳储量的贡献率最大;林地的生境质量最高,建设用地的生境质量最低;(3)丽江市东部楚雄北部小区20年来碳储量最高;丽江市西部-怒江傈僳族自治州东南部小区20年来生境质量最高;(4)对碳储量解释力最强的因子是高程,其p值达到了0.37214,交互作用最强的是土地利用坡向,其值达到了0.8887。

       

      Abstract: Carbon stock and habitat quality are two important indicators for evaluating the function of ecosystem services, which can provide a basic scientific basis for ecosystem protection and management. In this study, the PLUS model was used to predict the land use data of the Yunnan-Guizhou Plateau in 2025 and 2030, and the InVEST model was used to analyze the carbon stock and habitat quality in the region from 2000 to 2030 in a spatio-temporal manner; Explore the relationship with the results in terms of slope, elevation, four levels of zoning, and land use, respectively, and explore the drivers. The results showed that (1) the carbon stocks (×109t) from 2000 to 2030 were 7.392, 7.389, 7.403, 7.406, 7.426, 7.249, and 6.921, respectively; and the habitat quality was 0.770, 0.765, 0.760, 0.757, 0.752, 0.7301, and 0.7547, respectively; and (2) the forested land contributed to the carbon storage; forest land had the highest habitat quality, and built-up land had the lowest habitat quality; (3) the highest carbon storage over 20 years was found in the plot in the northern part of Chuxiong, east of Lijiang City; and the highest habitat quality over 20 years was found in the plot in the western part of Lijiang City-southeast of Nujiang Lisu Autonomous Prefecture; (4) the factor that had the strongest explanatory power for carbon storage was elevation, with a p-value of 0.37214, and the strongest interaction effect was land use slope orientation, whose value reached 0.8887.

       

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