• 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模型的青海省柴达木盆地土地利用的多情景模拟及碳储量变化

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

  • 摘要: 摘要:【目的】为明晰青海省海西蒙古族藏族自治州柴达木盆地土地利用扩张驱动机制,预判未来土地利用变化态势以及研究区各地类碳储量时空变化。【方法】基于PLUS-InVEST模型,根据1980年、2000年、2020年土地利用数据,结合DEM、坡度、年平均降水等12项驱动因子,系统识别研究区内耕地、草地、水域、建设用地、未利用地五种主要土地利用扩张驱动指数,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年多情景下土地利用变化以及碳储量时空变化模拟。【结论】结果表明:(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)预测的2040年4类发展情景下不同地类面积转移特征,可有效约束土地无序转变,维稳耕地、助推城镇化进程、加快生态用地修复扩张。(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2352243.73t,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,表明生态保护对碳储量的重要性。

     

    Abstract: Abstract : Objective In order to clarify the driving mechanism of land use expansion in Qaidam Basin, Haixi Mongolian and Tibetan Autonomous Prefecture, Qinghai Province, and predict the future trend of land use change and the spatial and temporal changes of carbon storage in various regions of the study area. Based on the PLUS-InVEST model, according to the land use data of 1980,2000 and 2020, combined with 12 driving factors such as DEM, slope and annual average precipitation, the five main land use expansion driving indexes of cultivated land, grassland, water area, construction land and unused land in the study area were systematically identified, and four different development scenarios of natural development, priority of cultivated land protection, priority of urban development and priority of ecological protection were constructed. The simulation of land use change and spatial-temporal change of carbon storage under multiple scenarios in 2040 was carried out. The results showed that : (1) The main factors for the expansion of cultivated land, grassland, water area, construction land and unused land were soil type ( driving index was 0.18 ), distance from urban main road ( driving index was 0.35 ), annual average precipitation ( driving index was 0.26 ), distance from highway ( driving index was 0.24 ) and distance from urban main road ( driving index was 0.39 ). (2) The predicted area transfer characteristics of different land types under the four development scenarios in 2040 can effectively restrain the disorderly transformation of land, maintain the stability of cultivated land, promote the process of urbanization, and accelerate the restoration and expansion of ecological land.(3)In 2040, only the ecological protection priority scenario increased the total carbon storage in the study area by 2352243.73 t compared with 2020, while the natural development scenario, the cultivated land protection priority scenario, and the urban development priority scenario all decreased, indicating the importance of ecological protection to carbon storage.

     

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