[Land Cover Simulation and Carbon Stock Assessment in Huainan City Based on FLUS- InVEST Model].

Q2 Environmental Science
Hai-Yue Zheng, Lei Wang, Tao Wei, Xin-Xin Qi, Yue Chen
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Abstract

To explore the impact of land use change on carbon storage, taking Huainan City as an example, the future land use simulation (FLUS) model was used to simulate the spatial distribution of land use in 2030 under the inertia development scenario, farmland protection scenario, and ecological priority scenario. By combining this result with the integrated valuation of ecosystem services and trade-offs (InVEST) model, the carbon storage of the three scenarios in 1990, 2000, 2010, 2020, and 2030 was estimated. The study produced the following results: ① The main land type in Huainan City is cropland, which accounts for more than 75% of the total area. From 1990 to 2020, the area of cropland, grassland, and forest land in Huainan City continued to decrease, while the area of construction land continued to increase. The main land type transfer was the conversion of cropland to construction land. Compared with the other scenarios, the farmland protection scenario can better promote the increase of farmland area and effectively suppress the expansion of construction land. ② From 1990 to 2020, the carbon storage in Huainan City decreased by 8.29×105 t, with a continuous decreasing trend. Cropland was the main carbon reservoir in Huainan City, and the conversion of cropland to construction land was the main reason for the decrease in carbon storage in Huainan City. ③ The carbon stocks in Huainan City under the 2030 inertia development scenario, cropland protection scenario, and ecological priority scenario are 50 766×103, 50 822.21×103, and 50 597.95×103 t, respectively. The carbon storage decreases compared to the level in 2020 under the three scenarios, among which the cropland protection scenario has the most significant inhibitory effect on the reduction of carbon storage. In the future, prioritizing the protection of cropland should be considered.

[基于FLUS- InVEST模型的淮南市土地覆盖模拟与碳储量评价]。
为探讨土地利用变化对碳储量的影响,以淮南市为例,采用未来土地利用模拟(FLUS)模型,模拟了2030年惯性发展情景、农田保护情景和生态优先情景下的土地利用空间分布。将此结果与生态系统服务与权衡综合评价(InVEST)模型相结合,估算了1990、2000、2010、2020和2030年三种情景下的碳储量。研究结果表明:①淮南市土地类型以耕地为主,占总面积的75%以上;1990 - 2020年,淮南市耕地、草地、林地面积持续减少,建设用地面积持续增加。土地流转的主要类型是耕地转为建设用地。与其他情景相比,耕地保护情景能更好地促进耕地面积的增加,有效抑制建设用地的扩张。②1990 ~ 2020年淮南市碳储量下降8.29×105 t,呈持续下降趋势。农田是淮南市主要的碳库,耕地向建设用地的转化是淮南市碳储量减少的主要原因。③2030年惯性发展情景、农田保护情景和生态优先情景下淮南市碳储量分别为50 766×103、50 822.21×103和50 597.95×103 t。3种情景下碳储量均较2020年下降,其中耕地保护情景对碳储量减少的抑制作用最为显著。今后应考虑优先保护耕地。
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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