A 3S-based Regional Terrestrial Carbon Cycle Model in Luanhe Basin, China
Fang Liu 1,2
Jian Li 1,3
Jie Lu 1
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State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, No. 1 Fuxing Road, Haidian District, Beijing 100038,China
College of Environmental Science and Engineering, Donghua University, No. 2999 Renminbei Road, Songjiang District, Shanghai 201620, China
School of Environment, Liaoning University, No. 66 Chongshan Middle Road, Huanggu District, Shenyang 110036, China
College of Resource Environment and Tourism, Capital Normal University, No.105 West Third Ring Road North, Haidian District, Beijing 100048 China
Fang Liu   

China Institute of Water Resources and Hydropower Research, Room 948, Building 1, China Institute of Water Res, 10038, Beijing, China
Submission date: 2023-01-09
Final revision date: 2023-04-18
Acceptance date: 2023-04-21
Online publication date: 2023-05-18
Publication date: 2023-07-21
Pol. J. Environ. Stud. 2023;32(4):3721–3737
For a comprehensive response to climate change and low carbon development mode, the 3S-based regional terrestrial carbon cycle model in Luanhe basin is constructed in accordance with componentbased development strategy to identify carbon cycle evolution of terrestrial ecosystem under the background of local changes, combining measured weather data, prototype observation data of soil and plants as well as remote-sensing information in different spatial and temporal scales. The model has the ability of describing canopy fluxes, net primary productivity, biomass allocation and turnover, mortality, decomposition of soil organic matter and other dynamic processes. The carbon cycle evolution in Luanhe Basin from 1995 to 2010 is simulated and analyzed. The results are shown as follows: 1) in the temporal scale, inter-annual change of leaf area index with a slight growth trend is larger than that of net primary productivity (NPP), ground and underground biomass and soil carbon content; 2) There are obvious regional differences in spatial view, spatial distribution of results are consistent with those of watershed plant and soil, displaying the characteristics that the above major variables of mountainous regions in middle-upper reaches are greater than those of grassland meadows in the upstream and plains in the downstream.