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One of the hottest topics of debate in the world these days
is the environment. There are those who would bring an end to
all industry and human consumption in the name of conservation,
while others prefer the aroma and heat of an asphalt and steel
planet world over lush jungles and blue skies. Each side
points to its studies to show who is right, but we're all
left wondering where the truth lies. Now, as analytically-
slanted people, wouldn't it be nice if we could see some
influence from the realm of simulation to help sort this
all out? Fear not! Scientific computing is again making its
presence known, as it has in so many other fields of scientific
endeavor.
To begin with, let's cover some basics. An ecosystem consists of a region of space, its physical components, its inhabitants, and the interaction of its inhabitants with their surroundings and each other. Some examples of ecosystems are the Earth, a pond, a rain forest, and a mildew-encrusted bathtub. As you might imagine there are tons of possible ecosystems to examine, but there are some common features to such studies. Some factors to be considered in this type of research include population growth patterns, renewability of resources, external and internal limitations on internal activity, and the productivity and consumptions of inhabitants. These must be accounted for in order to create a realistic ecosystem model for simulation purposes. In the coming weeks, we'll look at some basic models of the factors listed above, as well as the types of simulations that are being carried out today to model various ecosystems. In the meantime, a good place to learn more about ecosystem modeling is http://www.unicamp.br/fea/ortega/java/
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