Land use change simulation in Sanya city based on remote sensing ecological index
HU Ke1,2, HAN Nianlong1,3, YU Miao1, ZHANG Yucheng1
1. School of Public Administration, Hainan University, 570228, Haikou, China; 2. School of Public Administration, Nanjing Agricultural University, 210095, Nanjing, China; 3. School of Geography and Tourism, Huizhou University, 516007, Huizhou, Guangdong, China
Abstract：[Background] With the continuous promotion of urbanization in China, the contradiction between ecological protection and economic development is becoming increasingly prominent. Strengthening the monitoring and rigid constraints of the ecological environment in the process of urban development is conducive to ecological environmental protection and provides a carrying capacity base for sustainable economic and social development. Sanya is a typical city in the tropical region of China and has faced many ecological and environmental problems in the rapid expansion of the city in recent years. Therefore, there is an urgent need to conduct quantitative spatial assessment and scenario simulation studies on the ecological environment of Sanya city by establishing a research framework for land use change and ecological environment monitoring.[Methods] This study assessed and monitored the ecological quality of Sanya city based on Landsat remote sensing images in 2014 and 2018, using the Remote Sensing Ecological Index (RSEI) formed by integrating four ecological elements of greenness, humidity, heat and dryness by principal component analysis. The RSEI monitoring results were classified into different ecological constraints according to ecological quality levels, and combined with the PLUS model to simulate land use changes in Sanya city in 2030 under three scenarios of natural development, moderate ecological constraints and strict ecological constraints.[Results] The RSEI of Sanya city decreased from 0.656 to 0.632 between 2014 and 2018. Although the greenness, humidity increasing and heat decreasing improved the ecological environment, but the increasing in dryness contributed more to ecological damage than the first three, resulting in a decrease in the overall RSEI in Sanya city. From 2014 to 2018, the area of RSEI with excellent ecological quality decreased by 132.19 km2 and the area of RSEI with poor ecological quality increased by 14.48 km2. As a result, the overall ecological quality of Sanya city has deteriorated and ecological degradation occurred mainly in the hot spots of the city's economic development. Based on the PLUS model to simulate land use changes in Sanya city in 2030, the results showed that under the natural development scenario, construction land expanded significantly, mainly by encroaching on woodland and arable land, with the total reduction of woodland being the largest, indicating that this scenario posed a threat to ecological and arable land security. The simulation results of the two ecological constraints scenarios combined with RSEI showed that the expansion of construction land and the decline of woodland were both controlled, and the strict ecological constraints scenario had a more obvious effect on the protection of ecological space.[Conculsions] The study shows that RSEI-based can achieve rapid and effective monitoring of the regional ecological environment. According to the scenario simulation combining ecological constraints, it is shown that strengthening ecological constraints can effectively reduce the significant expansion of construction land and the maintenance of forest quantity. This study may provide reference cases for the implementation of land use planning and sustainable development under ecological constraints in tropical cities.
胡珂, 韩念龙, 于淼, 张育诚. 基于遥感生态指数的三亚市土地利用变化模拟[J]. 中国水土保持科学, 2023, 21(1): 101-109.
HU Ke, HAN Nianlong, YU Miao, ZHANG Yucheng. Land use change simulation in Sanya city based on remote sensing ecological index. SSWC, 2023, 21(1): 101-109.
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2023, Vol. 21 
