Our work in mathematical modelling of ecosystems focuses on model formulation and use simulations to improve our understanding of processes that characterize behavior of ecosystems. Our approach is the estimation of prediction of uncertainty, and estimation of model parameters from observed data. We map linkage between ecological and biogeochemical processes through elemental mass balances expressed by stoichiometric relationships. We ensure biodiversity equilibrium conditions for an optimized ecosystem.
We develop mathematical models for epidemiology models to study the spread of infectious diseases attacking all living organisms in both terrestrial and aquatic (Limnic, Lotic, Lentic, & Marine) ecosystems. We design simulations that will guide us to do optimization in ecosystems to ensure that food chain is stable and be able to design equilibrium conditions for the supply and demand. An optimized ecosystem leads to food security.
We are developing mathematical models to move towards the achievement of zero carbon foot print by optimizing ecosystems. We have expert knowledge of the development of financial instruments and to work with carbon credits to facilitate the off-setting of carbon emission and implement practical solutions for carbon absorption. Ecosystem is life and we allocate high priority to ensure sustainable balanced environmentally friendly environment.