  Ecologists are interested in modeling the population growth of species in
various ecosystems. Studying population dynamics can assist environmental
managers in making better decisions for the environment. Traditionally, the
sampling of species and tracking of populations have been recorded on a regular
time frequency. However, sampling can be an expensive process due to available
resources, money and time. Limiting sampling makes it challenging to properly
track the growth of a population. Thus, we propose a new and novel approach to
designing sampling regimes based on the dynamics associated with population
growth models. This design study minimizes the amount of time ecologists spend
in the field, while maximizing the information provided by the data.
