Our current research centers around the development and testing of mathematical models designed to make sense of realistically complex ecological systems. For example, we all know that real ecological interactions, such as competition, occur at particular locations and that where something takes place can be as important as what took place. Without precise theory, however, it is difficult to know what to do with spatial information. Existing theories that take space into account range from abstract mathematical models based on physics to simplified models based on equally spaced patches to complex computer models with overwhelming levels of detail. My goal is to help create models which incorporate enough real spatial complexity to make sense of data but not so much as to sacrifice any hope of understanding.

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