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Carbaryl, Carbofuran, and Methomyl - National Marine Fisheries ...

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EECs in the BEs may underestimate exposure of some listed organisms <strong>and</strong> designated<br />

critical habitat.<br />

Although EPA characterized these exposure estimates as “worst case” in the BEs, it has<br />

also acknowledged that measured concentrations in the environment sometimes exceed<br />

PRZM-EXAMs EECs (EPA 2007). EPA has subsequently clarified that rather than<br />

providing worst case estimates, PRZM-EXAMS estimates are protective for the vast<br />

majority of applications <strong>and</strong> aquatic habitats (EPA 2007). NMFS agrees that the model is<br />

designed to produce estimates of exposure that are protective for a large number of<br />

aquatic habitats.<br />

Recent formal consultation <strong>and</strong> reviews of EPA informal consultations by the Services<br />

found that concentrations measured in surface water sometimes exceed peak<br />

concentrations predicted with PRZM/EXAMS modeling (NMFS 2007; NMFS 2008;<br />

USFWS 2008). Concentrations of carbaryl, carbofuran, <strong>and</strong> methomyl were generally<br />

less than concentrations predicted in the BEs using PRZM-EXAMs although there were<br />

examples where measured concentrations in surface water exceeded these estimates (e.g.,<br />

(Hurlburt 1986; Creekman <strong>and</strong> Hurlburt 1987; Tufts 1989; Tufts 1990; Beyers, Farmer et<br />

al. 1995). These findings demonstrate that the EECs generated using PRZM-EXAMS<br />

can underestimate peak concentrations that actually occur in some aquatic habitats, <strong>and</strong><br />

therefore, peak exposure experienced by some individuals of listed species may be<br />

underestimated.<br />

Exposure values derived by EPA using PRZM-EXAMS may underestimate or<br />

overestimate salmonid exposure to carbaryl, carbofuran, <strong>and</strong> methomyl. Two<br />

assumptions are discussed below that show salmonids may be exposed to higher<br />

concentrations than predicted with PRZM-EXAMS modeling:<br />

Assumption 1: Model outputs are 90th percentile time­weighted averages. It is<br />

important to recognize that the model predicts concentrations based on site-specific<br />

assumptions (e.g., rainfall) <strong>and</strong> that environmental concentrations provided for the<br />

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