Data on mercury contamination from the Everglades Regional Environmental Monitoring and Assessment Program (REMAP) have been modelled by previous investigators, notably Kent Thornton (Stober et al. 2001) and Curtis Pollman (2014). These efforts were undertaken approximately midway through the history of Everglades REMAP, a program that has gone on for three decades. They featured structural equation modeling, and did not include any variables that implicitly reflect habitat quality or food web complexity. This report is based on a different modelling technique applied to all REMAP data to date, and it includes consideration of habitat and resultant efficiency of biomagnification.
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