Simulating dynamics of managed monsoon evergreen broad-leaved forest in south China |
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Authors: | Guilian Zhang Carolina Boom Guigang Zhang Xinwei Liu Qin Du Shaolin Peng |
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Institution: | 1. CAS-MPG Partner Institute for Computational Biology Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 200031, China;2. Institute of Hydrobiology,College of Life Science and Technology, Jinan University, Guangzhou 510632, China;3. Hydro-Biological Sciences and Engineering Department, Laiyang Agricultural College, Qingdao, 266109, China;4. Key Laboratory of Urbanization and Ecological Restoration, School of Resources and Environmental Science, East China Normal University, 200062, China;5. State Key Laboratory for Biological Control, Zhongshan University, Guangzhou, 510275, China |
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Abstract: | The forest succession model FORDYN is developed based on TREEDEV model. TREEDEV is a process-based tree growth model, that calculates tree growth based on carbon and nitrogen balance, and is calculated using on the photo-production of leaves, respiration, nitrogen content of all organisms and that in soil, and other losses due to respiration, litter and renewal of stems, branches, leaves and roots. In the FORDYN model succession is divided into three phases called early, middle and late succession, and the transition between these three succession phases is distinguished by a difference in leaf area index. As a verification of the model we used the characteristics and available data of a monsoon evergreen broad-leaved forest in Dinghushan Biosphere Reserve (DHS-BR). The model was validated with natural forest data. In addition, a sensitivity analysis was performed in which 30 independent variables were varied and analyzed in connection with their influence on 16 dependent variables describing forest conditions. The simulation results describe the changes in total biomass, carbon and nitrogen change in plant–litter–soil system of an undisturbed monsoon evergreen broad-leaved forest during succession. We compared these findings with simulation in which different logging management strategies were used. The results show that having a longer logging cycle, delaying the first logging time and a smaller logging fraction the scenario can contribute to a sustainable forest development, while still having a positive economic yield. |
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Keywords: | Forest model Functional groups Logging strategies South China |
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