Jia Tang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jia Tang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Cunyou Chen
College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
1 shared publication - Qian Li
College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
1 shared publication - Qizhen Li
College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
1 shared publication - Xijun Hu
College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
1 shared publication - Yali Zhang
College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
1 shared publication - Ziwei Luo
College of Landscape Architecture and Art, Northwest A&F University, Yangling 712100, China
1 shared publication
Latest Publications
- Open Access
- 17 June 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (12) , 5578
Understanding the Spatiotemporal Patterns and Drivers of Carbon Stock in Central-Southern China’s Hilly Regions Through Land Use Change and Scenario Simulation
Land use and land cover (LULC) changes play a crucial role in regional carbon dynamics and climate regulation. This study assesses the impact of LULC changes on carbon stocks in Hunan Province, China, from 2000 to 2035 using a MOP-PLUS–InVEST–OPGD integrated modeling framework. Results show that carbon stock declined by 45.96 million tons from 2000 to 2020 due to rapid urban expansion and conversion of forest and grassland to construction land. Scenario simulations reveal that by 2035, carbon stock will increase by 4.82% under the ecological protection scenario (EP) but decrease by 3.26% under the natural trend scenario (NT). Economic development scenario (ED) and sustainable development scenario (SD) produce intermediate outcomes. Spatially, high-carbon regions are concentrated in high-altitude forested areas, while urbanized lowlands exhibit the lowest carbon density. The optimal parameters-based geographical detector (OPGD) model identifies land use intensity, elevation, and net primary productivity as the dominant drivers of carbon stock variation, with significant interactions between natural and socioeconomic factors. These findings underscore the need for integrated land-use planning and ecological conservation policies that align with carbon neutrality goals. This study provides a replicable spatial framework and policy-oriented insights for managing carbon stocks in rapidly developing regions.
- 17 June 2025
- Published by MDPI AG in Sustainability
- Vol. 17 (12) , 5578
Open AccessUnderstanding the Spatiotemporal Patterns and Drivers of Carbon Stock in Central-Southern China’s Hilly Regions Through Land Use Change and Scenario Simulation
Land use and land cover (LULC) changes play a crucial role in regional carbon dynamics and climate regulation. This study assesses the impact of LULC changes on carbon stocks in Hunan Province, China, from 2000 to 2035 using a MOP-PLUS–InVEST–OPGD integrated modeling framework. Results show that carbon stock declined by 45.96 million tons from 2000 to 2020 due to rapid urban expansion and conversion of forest and grassland to construction land. Scenario simulations reveal that by 2035, carbon stock will increase by 4.82% under the ecological protection scenario (EP) but decrease by 3.26% under the natural trend scenario (NT). Economic development scenario (ED) and sustainable development scenario (SD) produce intermediate outcomes. Spatially, high-carbon regions are concentrated in high-altitude forested areas, while urbanized lowlands exhibit the lowest carbon density. The optimal parameters-based geographical detector (OPGD) model identifies land use intensity, elevation, and net primary productivity as the dominant drivers of carbon stock variation, with significant interactions between natural and socioeconomic factors. These findings underscore the need for integrated land-use planning and ecological conservation policies that align with carbon neutrality goals. This study provides a replicable spatial framework and policy-oriented insights for managing carbon stocks in rapidly developing regions.