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Extra info for [Journal] Environmental Science and Technology. Volume 45. Issue 24

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Figure 3. Outline of southern Lake Michigan beach locations showing variation in the standard deviation of E. coli concentrations (color gradations) and % difference in number of days exceeding the E. coli concentration ssmaxEPA vs ssmaxCALC (size gradations). significantly higher means (Figure 2). 4 used in the AWQC. The highest standard deviation and ssmaxCALC was associated with the Lake County beaches (400 CFU/100 mL); these beaches are subject to frequently elevated E. coli concentrations and high fluctuations overall, although no source of contamination has been adequately identified.

11 Risk in aquatic POLICY ANALYSIS ecosystem markets is derived from two primary forms: regulatory risk and entrepreneurial (or ‘banker’) risk. Regulatory risk is the likelihood that the goal of no net-loss of ecosystem services will not be met. Given that regulators are enforcing environmental protection regulations, regulatory risk is very much a proxy for ecological risk. The task for regulatory agencies is to minimize ecological risk. Conversely, entrepreneurial risk is the likelihood that conservation activities (production of credits) will not be profitable or worthwhile financial investments.

Nitrogen), although this is not a firm distinction. One major ongoing debate concerns the extent to which traded ecosystems should rigidly mimic each other’s ecological functions. , groundwater fed wetlands) become nonexchangeable due to their inherent uniqueness. 10 We collected data from regulators, industry associations, and performed the first comprehensive survey of the national mitigation banking community. Our goal is to understand the risk considerations in this market and policies that modify risk (whether intentionally or not) and encourage mitigation banking by lowering market entry.

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[Journal] Environmental Science and Technology. Volume 45. Issue 24


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