Carbon storage potentials for fast growing broad-leaf species based on forest growth models
[Objective] This study compared the carbon sequestration potentials of different fast growing broad-leaf species with different sites and densities to provide basis for afforestation decision-making.[Method] Forest inventory data of Alnus cremastogyne,Acacia dealbata,Eucalyptus globulus,E.maideni from the 4th forest resources survey in Kunming were used for establishment of basal area growth models.Optimal algorithms were applied in solving parameters of alternative models including Richards,Schumacher,and Korf.Tree-level biomass models were linked with growth models to simulate the growth of carbon storage with site situations and stand densities.Mean increment and annual increment of carbon storage were used in comparison of carbon sequestration potentials of different species.[Result] Decision coefficients of fitting were 0.94,0.89,0.92 and 0.84 for Alnus cremastogyne,Acacia dealbata,Eucalyptus globulus,and Eucalyptus maiden.Iterations of different algorithms for parameter solving were in the order of levenberg-marquardt ＜ particle swarm optimization ＜ differential evolution ＜ simulated annealing＜ genetic algorithm.Euclidean distances of solved parameters for Schumacher and Korf were bigger than that of Richards.Carbon storages of Alnus cremastogyne,Acacia dealbata,Eucalyptus globulus,and Eucalyptus maiden were 13.81,20.33,38.89 and 45.27 t/hm2 in 15 years old stands(SC:Ⅲ,SDI:800),respectively.There was no difference in carbon storage between species in 1-5 years old stands (α=0.10).The difference of carbon storage was extremely significant between species in 6-10 years and 11-15 years old stands (α=0.01).The maximum mean increments of carbon storage were 1.14,1.76,3.10,and 3.11 t/(hm2 · a) and the maximum annual increments of carbon storage were 1.34,2.18,3.66,and 3.41 t/(hm2 · a) for Alnus cremastogyne,Acacia dealbata,Eucalyptus globulus,and Eucalyptus maideni,respectively.[Conclusion] The established models could be applied in carbon storage analysis and the optimal algorithms were good at parameters solving.Carbon storage potentials for fast growing broad-leaf species were in the order of Eucalyptus maideni ＞ Eucalyptus globulus ＞ Acacia dealbata ＞ Alnus cremastog yne.
NETL
NSTL
万方数据
维普
