From data.gov.au
JSON format icon JSON RDF format icon RDF ISO19115-3 XML

A dataset on spatial distribution and association patterns of three species from moist semi deciduous forest

ARCHIVED

Created 20/10/2024

Updated 21/01/2025

JSON format icon JSON RDF format icon RDF ISO19115-3 XML

Knowledge on the spatial distribution and inter-specific association patterns in tree species is essential in plant ecology to understand ecological mechanisms and dynamic process operating in spatial distribution of a tree population in a plant community. We measured and compiled datasets on three tropical tree species from a moist semi deciduous forest. We used the software Programita to perform univariate and bivariate point pattern analysis by Ripley's L-function. These datasets can be used to inform on possibilities of interaction of these species in forest stands. These datasets can be also used to access the capacity of each tree of Mansonia altissima var. altissima A. Chev. to develop and grow or its exclusion probability within a plant community. Mansonia altissima A. Chev. is a plant species represented by only one-population in a moist semi-deciduous forest in Republic of Benin. Our project aims to understand its ecology for restoration and conservation purposes within its natural habitat as well as other habitats inside of its distribution range.

Files and APIs

Tags

Additional Info

Field Value
Title A dataset on spatial distribution and association patterns of three species from moist semi deciduous forest
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/efcbed1a-0141-4af4-98dc-a17e1df3adda
Contact Point
Environment Protection Authority (EPA) Victoria
wedjangnon_app@yahoo.com
Reference Period 25/01/2017 - 04/03/2018
Geospatial Coverage {"type": "Polygon", "coordinates": [[[2.56, 7.45], [2.59147, 7.45], [2.59147, 7.47936], [2.56, 7.47936], [2.56, 7.45]]]}
Data Portal data.gov.au