Crown Projection Area Models for Neem (Azadirachta Indica Linn) in Majia Fuelwood Reserve, Dange-Shuni, Sokoto State Nigeria

Dantani; Ige

doi:10.59890/ijssi.v2i2.2186

Authors

Dantani Department of Forestry and Wildlife Management, Faculty of Agriculture, Bayero University Kano
Ige Department of Social and Environmental Forestry, Faculty of Renewable Resources, University of Ibadan

DOI:

https://doi.org/10.59890/ijssi.v2i2.2186

Keywords:

Azadirachta Indica, Crown Projection Area, Models, Height and DBH

Abstract

This study was conducted in order to develop crown projection area models for Neem (Azadirachta indica) in Majia Fuelwood Reserve. Both linear and non-linear regression models were used. The highest adjusted coefficient of determination (R2adj) and the lowest Standard Error of Estimate (SEE) were considered appropriate criteria in selecting the best model. Model validation was achieved by dividing the data into two sets; (75%) of the data to calibrate the models and the other set (25%) to validate the models using paired sample T-test and R statistical package was used for analysis.All the candidate model parameters were found to be statistically significant at 5% with the exception of Model 10 (CPA = b0 + b1LnSLC) this indicates that at least one predictor variable (DBH or SLC) is significant in explaining the dependent variable. Equation 10 (CPA = 26.99861 + 0.101247SLC - 5.9087LnSLC) was identified as the most suitable for predicting the Crown Projection Area (CPA) of Azadirachta indica. The recommended model provides a practical tool for predicting canopy characteristics, aiding in informed decision-making for future forest management and timber production. The selected model is considered effective for predicting future growth values, which is essential for sustainable timber production planning

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