Cascading Complexity: Models, Tsetse, Climate Change and Agriculture

Joe Messina documents his work in East Africa where researchers look at the data like the tsetse would, selecting habitats based on desirable conditions of rainfall, temperature and soil moisture. The MSU team developed a model programmed to identify the most attractive habitats and predict the time when the pests could arrive in those places. This information creates a more effective eradication campaign, Messina says, attacking insects where they are in the present, rather than where they were a few years ago.

November 19, 2013
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