Regression Models for Key Economic Savanna tree Species: A Case Study of Parkia biglobosa (Jacq.) R. Br. ex G. Don f. in the Guinea Savanna Ecological Zone of Ghana

Cosmas S. Abengmeneng *

Department of Forestry and Forest Resources Management, Faculty of Natural Resources and Environment, University for Development Studies, P.O. Box TL 1882, Nyankpala-Tamale, Northern Region, Ghana.

Thomas M. Daayeng

Department of Forestry and Forest Resources Management, Faculty of Natural Resources and Environment, University for Development Studies, P.O. Box TL 1882, Nyankpala-Tamale, Northern Region, Ghana.

*Author to whom correspondence should be addressed.


Abstract

The rising demands for Parkia biglobosa due to its numerous benefits and the lack of active conservation measures have endangered the species in most of its natural ranges. Data on its dendrometry, which is a prerequisite for its sustainable management, are limited especially in Ghana. This study, therefore, investigated the relationships between five dendrometry variables and developed models for predicting them.  The prediction models were developed using diameter at breast height and crown diameter as independent variables. Ten randomly distributed trees were sampled, and data collected and analyzed using Pearson correlation and simple linear regression. It was observed that stem diameter was positively correlated with all the other four variables measured. The correlation between stem diameter at breast height and crown diameter was 0.69.  The co-efficient of determination between stem diameter at breast height and total height, crown diameter, crown ratio and crown height had R2 values of 0.16, 0.48, 0.19 and 0.28, respectively. Crown diameter, as the second indicator variable, was also positively related with total height with correlation co-efficient of 0.97 and R2 value of 0.09. The relationship between stem diameter at breast height and crown diameter was significant with f-value of 0.03 at 95% confidence level. The results will make significant contributions to the management of trees in the study area. The study will also be morale booster for similar studies to be conducted to assist improve the models developed. 

Keywords: Parkia biglobosa, tree height, stem diameter, Ghana Guinea Savanna, regression models


How to Cite

Abengmeneng, Cosmas S., and Thomas M. Daayeng. 2023. “Regression Models for Key Economic Savanna Tree Species: A Case Study of Parkia Biglobosa (Jacq.) R. Br. Ex G. Don F. In the Guinea Savanna Ecological Zone of Ghana”. International Journal of Plant & Soil Science 35 (22):410-20. https://doi.org/10.9734/ijpss/2023/v35i224149.