A platform for research: civil engineering, architecture and urbanism
Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China
Anthropogenic land-use change is one of the main drivers of global environmental change. China has been on a fast track of land-use change since the Reform and Opening-up policy in 1978. In view of the situation, this study aims to optimize land use and provide a way to effectively coordinate the development and ecological protection in China. We took East Guangdong (EGD), an underdeveloped but populous region, as a case study. We used land-use changes indexes to demonstrate the land-use dynamics in EGD from 2000 to 2020, then identified the hot spots for fast-growing areas of built-up land and simulated land use in 2030 using the future land-use simulation (FLUS) model. The results indicated that the cropland and the built-up land changed in a large proportion during the study period. Then we established the ecological security pattern (ESP) according to the minimal cumulative resistance model (MCRM) based on the natural and socioeconomic factors. Corridors, buffer zones, and the key nodes were extracted by the MCRM to maintain landscape connectivity and key ecological processes of the study area. Moreover, the study showed the way to identify the conflict zones between future built-up land expansion with the corridors and buffer zones, which will be critical areas of consideration for future land-use management. Finally, some relevant policy recommendations are proposed based on the research result.
Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China
Anthropogenic land-use change is one of the main drivers of global environmental change. China has been on a fast track of land-use change since the Reform and Opening-up policy in 1978. In view of the situation, this study aims to optimize land use and provide a way to effectively coordinate the development and ecological protection in China. We took East Guangdong (EGD), an underdeveloped but populous region, as a case study. We used land-use changes indexes to demonstrate the land-use dynamics in EGD from 2000 to 2020, then identified the hot spots for fast-growing areas of built-up land and simulated land use in 2030 using the future land-use simulation (FLUS) model. The results indicated that the cropland and the built-up land changed in a large proportion during the study period. Then we established the ecological security pattern (ESP) according to the minimal cumulative resistance model (MCRM) based on the natural and socioeconomic factors. Corridors, buffer zones, and the key nodes were extracted by the MCRM to maintain landscape connectivity and key ecological processes of the study area. Moreover, the study showed the way to identify the conflict zones between future built-up land expansion with the corridors and buffer zones, which will be critical areas of consideration for future land-use management. Finally, some relevant policy recommendations are proposed based on the research result.
Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China
Yong Lai (author) / Guangqing Huang (author) / Shengzhong Chen (author) / Shaotao Lin (author) / Wenjun Lin (author) / Jixin Lyu (author)
2021
Article (Journal)
Electronic Resource
Unknown
land use and land cover change , future land-use simulation model , minimal cumulative resistance model , ecological security pattern , land-use optimization , Shantou , Environmental effects of industries and plants , TD194-195 , Renewable energy sources , TJ807-830 , Environmental sciences , GE1-350
Metadata by DOAJ is licensed under CC BY-SA 1.0
Modeling inorganic nitrogen deposition in Guangdong province, China
Elsevier | 2015
|Advanced LID Experimental Array: Shenzhen University, Guangdong Province, China
British Library Conference Proceedings | 2012
|John Lin: Qinmo Primary School, Qinmo, Guangdong province, China
British Library Online Contents | 2009
Disaster treatment in Guangdong province
British Library Conference Proceedings | 1998
Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study
Springer Verlag | 2024
|