作者机构：
[She, Jiyun; Mao, Shuzhen; Zhang, Yi] Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410004, Peoples R China.
通讯机构：
[She, JY ] C;Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410004, Peoples R China.
关键词：
land use change;eco-environmental quality;remote sensing ecological index;Chang-Zhu-Tan core area
摘要：
In the past 20 years, the integration process of the Chang-Zhu-Tan region has been accelerating, and land use has undergone significant changes. Land use change is a fundamental factor causing changes in the quality of the ecological environment. It is crucial to analyze land use change in the context of rapid urbanization and its impact on the ecological environment to promote sustainable and high-quality regional development. This study takes the Chang-Zhu-Tan core area, which has the highest development and construction intensity, as the study area. Based on the Google Earth Engine (GEE) platform, the land use information is extracted using Landsat remote sensing image data and the random forest method. The remote sensing ecological index (RSEI) is constructed to analyze the ecological and environmental effects of land use change based on the spatial and temporal changes of land use types and ecological and environmental quality in the Chang-Zhu-Tan core area from 2000 to 2020. The results show that the most critical land use change in the study area from 2000 to 2020 is mainly the sharp increase in construction land, accompanied by a continuous decrease in forest and cropland. During this period, the eco-environmental quality of the study area showed a declining trend, with significant differences in spatial distribution, generally showing a distribution pattern of suburban counties outperforming central urban areas. In addition, the distribution and changes in land use and ecological environment quality coincide spatially. Different land use types have different impacts on ecological environment quality, with the conversion of forest and cropland to construction land being the main reason for the deterioration of eco-environmental quality in the study area. This study provides a basis for the coordinated development of the ecological environment and social economy in the Chang-Zhu-Tan area.
通讯机构：
[You Zhou] C;College of Forestry, Central South University of Forestry and Technology ，Changsha, Hunan 410004, China<&wdkj&>Hunan University of Humanities, Science and Technology , Loudi, Hunan 417000, China
期刊：
IOP Conference Series: Earth and Environmental Science,2020年440(4):042003 ISSN：1755-1307
通讯作者：
She, Jiyun
作者机构：
[Li, Changqing; Wu, Yi; She, Jiyun] Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410000, Peoples R China.;[Lu, Yu] Natl Forestry & Grassland Adm, Cent South Inventory & Planning Inst, Changsha 410014, Hunan, Peoples R China.
通讯机构：
[She, Jiyun] C;Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410000, Peoples R China.
会议名称：
5th International Conference on Environmental Science and Material Application (ESMA)
会议时间：
DEC 15-16, 2019
会议地点：
Xian, PEOPLES R CHINA
会议主办单位：
[Li, Changqing;She, Jiyun;Wu, Yi] Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410000, Peoples R China.^[Lu, Yu] Natl Forestry & Grassland Adm, Cent South Inventory & Planning Inst, Changsha 410014, Hunan, Peoples R China.
会议论文集名称：
IOP Conference Series-Earth and Environmental Science
摘要：
This paper took Changjiang County as the study district. The selection of ecological source were analyzed by using GIS technology, granularity inverse method and principal component analysis. The result of the granularity inverse method and principal component analysis was that the optimal landscape composition structure of Changjiang County had a particle size of 600 m; there were 14 ecological sources aggregately, and 23 pieces of ecological landscape patches needed to increase newly. Besides, the distribution trend of ecological source was characterized by a large quantity but small scale in the central section and small quantity but large scale in the southeast and northwest, which was mainly influenced by human disturbance.
作者机构：
[熊迎军] College of Information Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China;[周俊; 韦玮; 沈明霞; 张保华] College of Engineering, Nanjing Agricultural University, Nanjing, 210031, China
通讯机构：
College of Engineering, Nanjing Agricultural University, Nanjing, China
