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Anyone who has studied biology has come across this sentence: Ecology is the study of how living organisms interact with each other and their environment. This simple definition, actually hides a tremendous complexity that’s at the root of our ecological modeling work. To begin with, the broad “environment” encompasses physical surroundings which can be hard to understand on their own. All one has to do is consider the hydrodynamic laws that explain river flow or the climate and its unpredictable changes at various spatial scales to understand that “environment” is an overly simple descriptor. Then there are all the interactions among organisms themselves: competition, mating, predation, parasitism, and mutualism, just to name a few. Each of these interactions can potentially influence the others in a never-ending feedback loop. Considered together, the simple “environment” is revealed to be a complex world where scientists, particularly ecological modelers, thrive.
A crucial tool for chemical risk assessment and environmental management, ecological modeling provides a means for investigating complex interactions of environmental stressors and their impact on natural resources. To get to the heart of those complex interactions, Waterborne’s scientists develop and apply mathematical models to describe an ecological system. Through ecological modeling, we can examine a network of interactions and run various simulations without expending costly resources required for laboratory or field studies.
Similar to how an artist would draw a human body by first studying how each part works together, our ecological modelers begin by identifying...
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