Discriminating woody species assemblages from National Forest Inventory data based on phylogeny in Georgia.

ABSTRACT: Classifications of forest vegetation types and characterization of related species assemblages are important analytical tools for mapping and diversity monitoring of forest communities. The discrimination of forest communities is often based on β-diversity, which can be quantified via numerous indices to derive compositional dissimilarity between samples. This study aims to evaluate the applicability of unsupervised classification for National Forest Inventory data from Georgia by comparing two cluster hierarchies. We calculated the mean basal area per hectare for each woody species across 1059 plot observations and quantified interspecies distances for all 87 species. Following an unspuervised cluster analysis, we compared the results derived from the species-neutral dissimilarity (Bray-C

SUBMITTER: Wellenbeck A 

PROVIDER: S-EPMC11264350 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature