Clusters of high abundance of plants detected from local indicators of spatial association (LISA) in a semi-deciduous tropical forest.

ABSTRACT: Plants are rarely randomly distributed across communities, and patchiness is a common spatial pattern in most tropical forests. Clusters of high density of plant individuals are related to internal and external forces, as well as to historical events. The detection of aggregated patterns of plant individuals allows for a better understanding of the internal and external factors that guide the distribution of species. The aim of this research was to detect and characterize clusters of high abundance of plants and species richness in semi-deciduous forests in the Dominican Republic. For this, we collected vegetation data from 575 quadrats in 23 transects (2300 m2 in total) within the Ocoa river basin. Using local Moran's I statistics, we isolated 18 quadrats of high density of individuals. W

SUBMITTER: Martinez Batlle JR 

PROVIDER: S-EPMC6292623 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature