[Temporal and Spatial Evolution and Prediction of Carbon Storage in the Haixi Prefecture of Qinghai Province Based on PLUS-InVEST Model].

Q2 Environmental Science
Hong-Kui Yang, Le-le Zhang, Xiao-Yang Liu, Ming-Xin Yang, You-San Li
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Abstract

The change of land use type seriously affects the spatial distribution pattern of regional carbon stocks. Exploring the land use status under future scenarios can provide an important reference for the spatial optimization of land use structure, carbon budget balance, and sustainable development in inland arid areas. Based on the land use types of the Haixi Prefecture in 2000, 2010, and 2020, the characteristics of land use change in the study area over 20 years were analyzed. The PLUS-InVEST model combined with 13 driving factors was used to simulate and predict the temporal and spatial distribution characteristics of land use and carbon storage under natural development, ecological protection, and urban development scenarios in 2030. The results showed that: ① From 2000 to 2020, the main land types in the Haixi Prefecture were grassland and unused land; the area of grassland continued to decrease, mainly transferred to unused and construction land, whereas the area of other land types showed an increasing trend. ② Compared with that in 2020, under the natural development scenario in 2030, the area of forest land will decrease by 204.86 km2, indicating a decrease of 24.18%, and the area of grassland will decrease by 4 167.02 km2. Under the ecological protection scenario, the area of forest land and grassland will increase by 55.47 km2 and 929.41 km2, respectively. Under the urban development scenario, the construction land area will be 672.84 km2, indicating an increase of 17.34%. ③ From 2000 to 2020, the total carbon storage decreased by 162.04×106 t, showing a continuous downward trend. High carbon storage values were distributed in the eastern and southern parts of the study area, while low carbon storage values were mainly distributed in the Qaidam Basin and its periphery. ④ In 2030, carbon storage under the ecological protection scenario will increase by 84.78×106 t and 86.16×106 t compared with that under the natural and urban development scenarios, respectively, indicating that ecological protection can effectively increase carbon storage in the study area. These findings provide data support for rational land use planning and coordinated regional development in the Haixi Prefecture.

基于PLUS-InVEST模型的青海省海西地区碳储量时空演变及预测[j]。
土地利用类型的变化严重影响了区域碳储量的空间分布格局。探索未来情景下的土地利用状况,可为内陆干旱区土地利用结构空间优化、碳收支平衡和可持续发展提供重要参考。以2000年、2010年和2020年海西地区土地利用类型为基础,分析了20 a来研究区土地利用变化特征。利用PLUS-InVEST模型,结合13个驱动因子,模拟预测了2030年自然开发、生态保护和城市发展情景下土地利用和碳储量的时空分布特征。结果表明:①2000 - 2020年,海西地区土地类型以草地和未利用地为主,草地面积持续减少,主要向未利用地和建设用地转移,其他土地类型面积呈增加趋势;②与2020年相比,2030年自然发展情景下,林地面积减少204.86 km2,减少24.18%;草地面积减少4167.02 km2;生态保护情景下,林地和草地面积将分别增加55.47 km2和929.41 km2。在城市发展情景下,建设用地面积为672.84 km2,增长17.34%。③2000 ~ 2020年,总碳储量减少162.04×106 t,呈持续下降趋势。高碳储量值主要分布在研究区东部和南部,低碳储量值主要分布在柴达木盆地及其周缘。④2030年,生态保护情景下的碳储量将比自然和城市发展情景下分别增加84.78×106 t和86.16×106 t,表明生态保护能够有效增加研究区碳储量。研究结果为海西地区合理土地利用规划和区域协调发展提供了数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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