The SCS/ARS/CES Pesticide Properties Database for Environmental Decision-Making

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Abstract
A principal goal of pesticide science is to be able to predict the environmental impact of a pesticide before it is released into the environment. To save expense and time, we would like to be able to make such a prediction for each pesticide with as few laboratory experiments on the pesticide as possible, and even fewer field experiments. Environmental processes, however, are enormously complex and sometimes (apparently) random. The sites of most interest—agricultural fields, forests, lakes, streams, etc.—are subtle living ecosystems which are incompletely understood and subject to great variability in space and time. The very diversity and intricacy which are indicators of the health of such ecosystems makes even the definition of what constitutes a significant impact on such systems a difficult task. Keywords Half Life Vapor Pressure Sodium Salt Molecular Formula Sorption Coefficient These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.