Title of article :
Simulating dynamics of managed monsoon evergreen broad-leaved forest in south China
Author/Authors :
Zhang، نويسنده , , Guilian and Boom، نويسنده , , Carolina and Zhang، نويسنده , , Guigang and Liu، نويسنده , , Xinwei and Du، نويسنده , , Qin and Peng، نويسنده , , Shaolin، نويسنده ,
Pages :
13
From page :
2218
To page :
2230
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.
Keywords :
Logging strategies , functional groups , South China , Forest model
Journal title :
Astroparticle Physics
Record number :
2085109
Link To Document :
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