Textbook Notes (363,260)
Canada (158,278)
Environment (154)
ENV332H5 (10)
Chapter 14

ENV232H5 Chapter 14 notes

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University of Toronto Mississauga
Patricia Houston

Chapter 14: the precautionary principle: A guide for protecting Public Health and the Environment:  Many environmental impacts of human activities cannot be predicated because of the complex interactions among variables in the ecosystems.  The history and definitions of the precautionary principle:  Precautionary principle says that we should aim to anticipate and avoid damages before they occur or detect them early. It is based on underlying values and on the following core elements:  Potential harm predicting and avoiding harm, or identifying it early, should be a primary concern when contemplating an action  Scientific uncertainty the kind and degree of scientific uncertainty surrounding a proposed activity should be explicitly addressed.  Precautionary action particular activity undertaken to avoid harm, even when the harm is not fully understood.  Elements of the Precautionary Principle:  The principle is based on recognizing that some activities may cause serious, irreparable or widespread harm.  The principle is based on the assumption that people have a responsibility to preserve the natural foundation of life, now and into the future.  A precautionary approach is based on determining how much harm can be avoided rather then deciding how much harm is acceptable or how much can be assimilated.  The potential for harm:  Nothing important I see  Scientific uncertainty:  Recognizing the uncertainty and limits of sciences is central to the precautionary principle.  Global trade and travel may introduce bacteria, viruses, insects, and other exotic species into ecosystems.  Understanding cause and effect relationships in complex system is limited by different kinds of uncertainties.  More complex problems have a mixture of three general kinds of uncertainty— statically, model and fundamental—each of which should be considered before deciding how to act.  Statistically uncertainty:  Easiest to reduce or to quantify with some precision.  Understanding the global climate impact of a proposed shift in energy policy requires more than simply knowing the probability distribution of a single variable.  Model uncertainty:  Fundamental Uncertainty:  A study of the relationship between two variables, a correlation is said to be established with statistical significance only if the results show the two to be linked, independent of other factors.  Under the precautionary principle, the burden of proof c
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