Empirical Analysis of Factors Influencing Elephant Population Increases: A Case Study of Tanzania National Park

Abstract

This study employs empirical analysis through linear regression to investigate the determinants of elephant population increases (EP). Utilizing a dataset comprising 255 observations, the research evaluates the impact of various predictor variables such as Elephant crime decrease (ECD), Elephant death decrease (EDD), Elephant poaching decrease (EPD), Elephant conflict increase (ECI), Elephant tracking improved (ETI), Patrol coverage increase (PCI), GIS coordination (GC), and Communication improves (CI) on Elephant population dynamics. The regression model's overall significance (F (8, 246) = 41.4, Prob > F = 0) indicates a robust explanation of variance in EP by the combined effect of predictors. Notably, Elephant death decrease, increased patrol coverage, and improved communication emerge as statistically significant predictors of EP. The findings underscore the importance of targeted interventions in reducing elephant mortality, enhancing patrolling efforts, and strengthening communication strategies for wildlife conservation management. This research contributes to the understanding of factors influencing elephant population dynamics, thereby assisting stakeholders such as wildlife conservation agencies, government bodies, and researchers in informed decision-making.