• 中文核心期刊
  • CSCD来源期刊
  • 中国科技核心期刊
  • CA、CABI、ZR收录期刊

基于PLUS-InVEST模型多情景模拟青海省海西州柴达木盆地土地利用及碳储量变化

Multi-scenario simulation of land use and carbon storage in Qaidam Basin, Haixi Prefecture, Qinghai Province based on PLUS-InVEST model

  • 摘要:
    目的 为明晰青海省海西州柴达木盆地土地利用/覆被变化(land use and cover change, LUCC)扩张驱动机制,预判研究区未来各地类及碳储量变化。
    方法 基于PLUS-InVEST模型,根据1980年、2000年、2020年LUCC数据,结合年平均降水量、年平均气温、土壤类型、高程(digital elevation model, DEM)、坡度、距水域的距离、国内生产总值(gross domestic product, GDP)、人口、距县政府距离、距高速公路的距离、距城市主干道的距离、距城市次级干道的距离等12项驱动因子,系统识别研究区内耕地、草地、水域、建设用地、未利用地5种主要LUCC扩张驱动指数,并构建自然发展、耕地保护优先、城镇发展优先、生态保护优先4种不同发展情景,开展2040年多情景下LUCC及碳储量变化模拟。
    结果 (1)耕地、草地、水域、建设用地、未利用地扩张的主要因子分别为土壤类型(驱动指数为0.18)、距城市主干道距离(驱动指数为0.35)、年平均降水量(驱动指数为0.26)、距高速公路的距离(驱动指数为0.24)和距城市主干道距离(驱动指数为0.39)。(2)基于PLUS模型预测的2040年4类不同发展情景下不同地类面积转移特征,得到在自然发展情景下土地面积变化总量为4080 km2;耕地保护优先情景下土地面积变化总量为156 km2;城镇发展优先情景下土地面积变化总量为316 km2;生态保护优先情景下土地面积变化总量为3186 km2。(3)在2040年,仅生态保护优先情景较2020年研究区总碳储量增加23.52×105 t,而自然发展情景、耕地保护优先情景、城镇发展优先情景碳储量均减少。
    结论 (1)自然环境与交通区位要素主导耕地、草地、水域、建设用地、未利用地的扩张过程。(2)2040年LUCC幅度在自然发展情景下最大,生态保护优先情景次之,城镇发展优先情景与耕地保护优先情景变化相对平缓,耕地保护管控可有效维持土地利用格局稳定。(3)生态保护优先情景可实现研究区总碳储量显著提升,表明生态保护措施是区域碳储量提升的核心关键。

     

    Abstract:
    Objective A model simulating the land use of Qaidam Basin, Haixi Prefecture, Qinghai Province was established to decipher the driving forces for expansion and forecast future carbon storage in the region.
    Methods The PLUS-InVEST model was input with the land use and cover changes (LUCCs) of the area in 1980, 2000, and 2020. Twelve factors including the annual average precipitation and temperature, soil type, digital elevation model, gradient, gross domestic product, and population, as well as the distances from waters, county government, highway, urban thoroughfare, and secondary road on the lands for different uses were analyzed. Past and projected LUCC expansions on the cultivated, forest-, grass-, wet-, construction, and virgin land types under the scenarios of natural development or prioritizing for farming conservation, urbanization or ecological protection were derived with a simulated 2040 LUCC for the basin.
    Result (1) The major factors that drove the expanded land use in the area were soil type with an index of 0.18 on the cultivated land, distance from urban thoroughfare with an index of 0.35 on the grassland, annual average precipitation with an index of 0.26 on the wetland, distance from highway with an index of 0.24 on the construction land, and distance from urban thoroughfare with an index of 0.39 on the unused land. (2) The PLUS-InVEST model showed 2040 total land use expansions to be 4 080 km2 for natural development, 156 km2 for crop cultivation, 316 km2 for urban development, and 3186 km2 for ecological conservation. (3) The carbon storage in 2040, a significant increase from 2020 of 23.52×105 t, was projected on the land for ecological preservation, while significant reductions would be experienced under all other development scenarios.
    Conclusion The natural environment and traffic-related geographic location of a cultivated, grass-, wet-, construction or virgin land were the key driving forces of LUCC expansion at Qaidam Basin. LUCC expansion by natural development would surpass all scenarios in the 2040 projection. It would be followed by the emphasis on ecology, which would materially increase carbon storage on the land. Whereas urbanization and farming would level off, and protection of cultivated land stabilize with the implementation of proper management.

     

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