Impact of Land Use Change on Carbon Storage Based on FLUS-InVEST Model: A Case Study of Chengdu–Chongqing Urban Agglomeration, China

Abstract

Land use change is one of the main factors driving changes in terrestrial carbon storage, which comprises the storage of vegetation carbon and soil carbon. Selecting the Chengdu–Chongqing urban agglomeration (CCUA) as the study area, land use and carbon storage from 2010 to 2030 were analyzed by combining the Future Land Use Simulation (FLUS) model and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The main types of land use in CCUA are farmland and forest. The conversion of farmland to built-up land was the most important form of land use transfer between 2010 and 2020. Each type of land use shows the smallest change under the ecological protection scenario, and the degree of the comprehensive land use dynamic is only 0.19%. Under the natural development scenario, the areas of built-up land, wetland, and forest land will increase in 2030. Under the urban development scenario, the built-up land area will increase by 751.24 km2, an increase in more than 10.08%, but farmland, forest, and grassland will decrease. The spatial pattern of carbon storage is “high in the east and west, low in the middle”; farmland accounts for the largest proportion of carbon storage at over 60% of the total. Carbon storage decreased by 29.45 × 106 Mg from 2010 to 2020. Grassland showed the most significant decrease in carbon storage, with the proportion decreasing from 7.49% in 2010 to 6.09% in 2020. In 2030, the total carbon storage will reach 1844.68 × 106 Mg under the ecological protection scenario, slightly higher than that in 2020, while it will show a downward trend under the natural development and urban development scenarios.

Characteristics Analysis and Prediction of Land Use Evolution in the Source Region of the Yangtze River and Yellow River Based on Improved FLUS Model

“…The above research proves that the relationship between snow and permafrost and land use change is very complex, so it is necessary to explore the driving effect of the two on land use. By comparing the Kappa coefficient of 0.752 with that of the same study in the same region without improvement [51], the accuracy of the model is significantly improved by 23.3%, and the Kappa coefficients also show a clear advantage over other studies from different regions [52,53]; this indicates that it is feasible and reasonable to utilize the improved FLUS model to simulate the land use change in the SRYAYE in the future and that the roles of snow and permafrost in driving land use change in the plateau and alpine area should not be underestimated.…”

Responses of Crop Yield, Soil Fertility, and Heavy Metals to Spent Mushroom Residues Application

“…The Chengdu Plain is the main production region for wheat and rice in China, earning the moniker “TianFu Granary” due to its significant role in food production [ 1 , 2 , 3 ]. In the past few decades, grain production in the Chengdu Plain has increased significantly, mainly due to the investment in synthetic fertilizers [ 4 , 5 , 6 ].…”

Estimated changes in carbon stock due to changes in land use around Yogyakarta International Airport

“…Rong et al (2023) stated that the type of land use has a correlation with differences in carbon stock; for example, land utilized as mangrove forests, peatlands, and forest areas is able to bind the highest carbon compared to other uses (Shiraishi et al, 2023). With massive changes in land use, there are also changes in terrestrial carbon stored in vegetation and carbon stocks in the soil (Shao et al, 2023;Tsegaye et al, 2023). Various studies explain that changes in land use which cause reduced vegetation cover and decreased forest areas not only cause carbon emissions but also cause land degradation (Peri et al, 2024).…”