Research within an ecological context
A specific research focus on the management of natural and agricultural resources and invasive pest species. Methodology used within this context include differential equation modelling, agent-based simulation, cellular automaton, and machine learning models.
The control of Eldana saccharina Walker
In this project we develop a range of mathematical and simulation models to be used for the sustainable, cost-effective and environmentally friendly management of Eldana saccharina Walker in sugarcane. Models developed to describe the population dynamics and dispersal under different control strategies of Eldana include a reaction-diffusion model, agent-based simulation model, cellular automaton, and statistical model.
Researchers and publications linked to this project:
1. Linke Potgieter - [1], [2], [3], [4], [5]
2. Brian Van Vuuren - [1], [2], [3], [4]
3. Pieter de Wet - [1]
The biological control of water hyacinth
The primary objectives were to establish a spatio-temporal model which may be used to investigate the efficiency of different biological control release strategies, providing guidance towards the optimal magnitude, frequency, timing and distribution of BCA releases, and to evaluate the cost-effectiveness of local mass rearing programmes in biological control.
Researchers and publications linked to this project:
Refugia planning in Bt sugarcane
The objective is to make a sound recommendation on the required size and layout of refuge areas in Bt sugarcane In order to do this, differential equation modellering as well as agent-based simulation modelling is utilised to model the development of resistance in Eldana saccharina Walker for different field layouts, with or without sterile insect releases.
Researchers and publications linked to this project:
2. Dirk Human - [1]
Water resources management in Lake Chad
The implementation of effective water resources management in the Lake Chad Basin in particular, is hindered by the absence of reliable information on both the net water supply, as well as on the agricultural water demand. The main purpose of this research is to provide a methodology to determine and forecast water supply and water demand in the context of scarce data for water resources management. Multivariate time series forecasting with long short-term memory is investigated as an alternative methodology for different aspects of water supply and demand estimation in the Lake Chad Basin.
Researchers and publications linked to this project:
1. Noé Carème Fouotsa Manfouo - [1]
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