Cheng Genwei1; Sun Jian2; Sha Yukun1; Fan Jihui1
Source Publicationjournalofmountainscience
AbstractHow to accurately simulate the distribution of forest species based upon their biological attributes has been a traditional biogeographical issue. Forest gap models are very useful tools for examining the dynamics of forest succession and revealing the species structure of vegetation. In the present study, the GFSM (Gongga Forest Succession Model) was developed and applied to simulate the distribution, composition and succession process of forests in 100 m elevation intervals. The results indicate that the simulated results of the tree species, quantities of the different types of trees, tree age and differences in DBH (diameter at breast height) composition were in line with the actual situation from 1400 to 3700 MASL (meters above sea level) on the eastern slope of Mt. Gongga. Moreover, the dominant species in the simulated results were the same as those in the surveyed database. Thus, the GFSM model can best simulate the features of forest dynamics and structure in the natural conditions of Mt. Gongga. The work provides a new approach to studying the structure and distribution characteristics of mountain ecosystems in varied elevations. Moreover, the results of this study suggest that the biogeochemistry mechanism model should be combined with the forest succession model to facilitate the ecological model in simulating the physical and chemical processes involved.
Document Type期刊论文
Recommended Citation
GB/T 7714
Cheng Genwei,Sun Jian,Sha Yukun,et al. thealtitudinalbeltsofsubalpinevirginforestonmtgonggasimulatedbyasuccessionmodel[J]. journalofmountainscience,2014,11(6):1560.
APA Cheng Genwei,Sun Jian,Sha Yukun,&Fan Jihui.(2014).thealtitudinalbeltsofsubalpinevirginforestonmtgonggasimulatedbyasuccessionmodel.journalofmountainscience,11(6),1560.
MLA Cheng Genwei,et al."thealtitudinalbeltsofsubalpinevirginforestonmtgonggasimulatedbyasuccessionmodel".journalofmountainscience 11.6(2014):1560.
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