NATURAL RESOURCES MANAGEMENT
PROJECT: DECISION SUPPORT FOR INTEGRATED PEST MANAGEMENT
In collaboration with SASRI and SUNORE
Funded by SASRI
In this project, a number of mathematical and simulation models are developed as a decision support toolkit for the sustainable, cost-effective and environmentally friendly management of an agricultural ecosystem, with a specific focus on pest management against Eldana saccharina Walker in sugarcane. Once a better understanding of the possible cause and effect of different management strategies on the population dynamics of Eldana has been gained by means of mathematical and simulation modelling, in-field experimentation may be done in a smarter, more targeted manner.
Members and alumni involved: Linke Potgieter, Brian van Vuuren, Pieter de Wet
Other researchers involved: Des Conlong (SASRI), Jan van Vuuren (SUNORE)
PROJECT: OPTIMAL WATER RESOURCES ALLOCATION
In collaboration with GEM
Funded by SU
The availability of water resources has a significant impact on sustainable development. Water resources planners have the responsibility of developing plans which will best utilise scarce water resources. It is, however, difficult to identify an optimal allocation of water resources that is cost-effective and sustainable in the long run. In literature, a number of operations research methods have been applied to the water resources allocation problem. This project builds on these methods to provide a decision support tool for optimal allocation of water resources in the Lake Chad Basin.
Members involved: Noé Fouotsa Manfouo, Linke Potgieter
Other researchers involved: Hannelie Nel (SU/Logistics)
PROJECT: IMPROVING BIOLOGICAL CONTROL STRATEGIES AGAINST WATER HYACINTH
In collaboration with
Stellenbosch Biomathematics Group
Funded by the NRF
The sustainable and cost-effective management of the notorious water hyacinth weed remains a challenge in South Africa. The primary objectives in this project 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. Numerical solutions of the model emphasise the benefit of frequent releases of N. eichhorniae compared to a once-off release in the long term, as well as the advantage of more distributed releases along the edges of an infested water body. Furthermore, releases commencing in summer was signiﬁcantly more efficient and cost-effective than releases commencing in winter.
Members and alumni involved: Heléne Delport, Linke Potgieter
Other researchers involved: Cang Hui (SBG)
PROJECT: REFUGIA PLANNING IN A BT-GM SCENARIO
In collaboration with SASRI
Funded by BioSafety
One of the main problems associated with transgenic crops, is that, in spite of their success in controlling target pests while allowing a substantial reduction of insecticide use, the sustainable control of these pest populations is threatened by the evolution of resistance. A number of strategies, which include refuge areas, for managing insect resistance in transgenic crops have been proposed that aim to delay the evolution of resistance in pest populations by promoting survival of susceptible insects. Refugia are areas of non-GM plantings between Bt GM crop. The optimal design of refuge areas are crucial in the success of using Bt GM crop over an extended period of time. The objective of this project is to be able to make a sound recommendation on the size and layout of refugia on sugarcane farms using Bt sugarcane that is lethal to the moth Eldana Saccharina Walker. A simulation model that can model millions of moths residing in sugarcane have been developed to simulate the spread of a resistant gene through an Eldana population residing in Bt Gm crop. This model may be adjusted for other species.
Members involved: Dirk Human, Linke Potgieter, Mashoto Maselela
Other researchers involved: Sandy Snyman (SASRI)