Home|Journals|Articles by Year|Audio Abstracts
 

Research Article

JIRLS. 2020; 2(1): 35-41


ASSESSMENT OF GROWTH PARAMETRS OF TREE SPECEIS IN DIFFERENT VEGETATION TYPES WITHIN WASSANIYA FOREST RESERVE OF SOKOTO STATE, NIGERIA

Atiku M; Eniolorunda BN; and Nafiu AK.




Abstract

A Point Centre Quarter (PCQ) method was used to demarcate 123 sampled plots measuring 30m x 30m at Wassaniya forest reserve in Sokoto state northern Nigeria. Eight different vegetation types were identified based on tree species composition. Using a stratified sampling method, the growth parameters of the vegetation composition of the forest reserve were assessed. Raw data on DBH, TH, were used to calculate BA and Volume. This was further used to calculate Relative densities and relative dominance and important value index of all trees species. The results reveal a total of 46 species belonging to 19 families with different interesting biodiversity indices and growth parameters. A multi linear regression model was developed by combining biodiversity indices and growth parameters as dependent variables against the eight different vegetation types which serve as the independent variables. The result indicates that there is a significant difference between all the parameters tested from all the different vegetation types.

Key words: Assessment, Growth, Parameters, Forest, Reserve, Tree, Species and Vegetation






Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Refer & Earn
JournalList
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.