AGE STRUCTURED AFRICAN ELEPHANT (LOXODONTA AFRICANA) POPULATION GROWTH MODEL

• Main Author: A A Nainggolan, Eureka
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/44304
• Institution: Institut Teknologi Bandung

The risk status of the extinction of african elephants (Loxodonta africana) is at a vulnerable level (facing a high risk of extinction in the wild). Humans are responsible for keeping the population of african elephants in order not to extinction. Determination of sustainability status of african elephant population through data on the growth of african elephant population is one of the steps to preserve the population of african elephants. This final project aims to model the population growth of female african elephants with age structure and to predict the size of the african elephant population in a certain region in the future. The model used is Leslie model. Leslie model is modified into a Leslie-logistic model (taking into account the environmental carrying capacity) and furthermore, Leslie-logistic model with the effect of hunting and destruction. The data used is the population data of african elephants in Kruger National Park, South Africa. The simulation of the three alternative models is done and the results of each model simulation are compared to determine the best model in predicting the growth of african elephant population in the future in the data collection area so that the analysis and conclusions on the results obtained can be used to support the determination of sustainability status of african elephant population and the determination of appropriate measures to manage african elephant population effectively to be sustainable. In general, the simulation results of the three models performed show a positive thing related to the growth of african elephant population.