Numerical Ecology and Social Network Analysis of the Forest Community in the Lienhuachih Area of Taiwan

In this study, the integration of useful statistical methods from different disciplines for analyzing forest community Lienhuachih area central Taiwan was attempted. We employed a seriated heat map to confirm presence multiple patterns in and used gap statistics clustplot number structure patterns, respectively. A minimum spanning tree display succession series among quadrats, Renyi diversity indicate species composition these patterns. The results confirmed existence six with biodiversity structures which pattern C prototype local Next, we as nodes social network perform bipartite analysis. showed that consisted 108 taxa syntaxa. syntaxa were highly vulnerable extinction; therefore, optimal conservation strategy would be first protect random method modularity analyze dominant characteristic two are detecting Therefore, study proposed new nomenclature system, namely Mathematic Code Syntaxonomic Nomenclature, support numerical vegetation Finally, potential an apparently competitive examined, role structuring explored, associations described.