{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T06:41:38Z","timestamp":1777963298841,"version":"3.51.4"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2010,1,8]],"date-time":"2010-01-08T00:00:00Z","timestamp":1262908800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"},{"start":{"date-parts":[[2010,1,8]],"date-time":"2010-01-08T00:00:00Z","timestamp":1262908800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["setac.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2010,1,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Mercury trophic transfer in the South River (VA, USA) was modeled to guide river remediation decision making. Sixteen different biota types were collected at six sites within 23 river miles. Mercury biomagnification was modeled using a general biomagnification model based on \u03b415N and distance from the historic mercury release. Methylmercury trophic transfer was clearer than that for total Hg and, therefore, was used to build the predictive model (r2 \u00a0prediction\u2009=\u20090.76). The methylmercury biomagnification factors were similar among sites, but model intercept did increase with distance down river. Minimum Akaike's Information Criterion Estimation (MAICE) justified the incorporation of distance in the model. A model with a very similar biomagnification factor to the South River (95% confidence intervals [CI]\u2009=\u20090.38\u20130.52) was produced for a second contaminated Virginia river, the North Fork Holston River (95% CI\u2009=\u20090.41\u20130.55). Percent of total Hg that was methylmercury increased monotonically with trophic position. Trophic models based on \u03b415N were adequate for predicting changes in mercury concentrations in edible fish under different remediation scenarios. Environ. Toxicol. Chem. 2010;29:1013\u20131020. \u00a9 2010 SETAC<\/jats:p>","DOI":"10.1002\/etc.117","type":"journal-article","created":{"date-parts":[[2010,2,20]],"date-time":"2010-02-20T01:20:00Z","timestamp":1266628800000},"page":"1013-1020","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Modeling mercury biomagnification (South River, Virginia, USA) to inform river management decision making"],"prefix":"10.1093","volume":"29","author":[{"given":"Kyle R.","family":"Tom","sequence":"first","affiliation":[{"name":"College of William and Mary\u2014VIMS, Gloucester Point, Virginia 23062, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael C.","family":"Newman","sequence":"additional","affiliation":[{"name":"College of William and Mary\u2014VIMS, Gloucester Point, Virginia 23062, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Schmerfeld","sequence":"additional","affiliation":[{"name":"U.S. Fish and Wildlife, 6669 Short Lane, Gloucester, Virginia 23061, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2010,1,8]]},"reference":[{"key":"2025010316573933000_bib1","doi-asserted-by":"crossref","first-page":"1114","DOI":"10.1139\/f98-001","article-title":"Biomagnification and bioaccumulation of mercury in an Arctic marine food web: Insights from stable nitrogen isotope analysis","volume":"55","author":"Atwell","year":"1998","journal-title":"Can J Fish Aquat Sci"},{"key":"2025010316573933000_bib2","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1139\/f94-039","article-title":"Pelagic food chain structure in Ontario Lakes: A determinant of mercury levels in Lake Trout","volume":"51","author":"Cabana","year":"1994","journal-title":"Can J Fish Aquat Sci"},{"key":"2025010316573933000_bib3","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1139\/f01-042","article-title":"Bioaccumulation and biomagnification of mercury in Lake Murray, Papua New Guinea","volume":"58","author":"Bowles","year":"2001","journal-title":"Can J Fish Aquat Sci"},{"key":"2025010316573933000_bib4","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.scitotenv.2008.04.017","article-title":"Mercury biomagnification in the food web of Lake Tanganyika (Tanzania, East Africa)","volume":"402","author":"Campbell","year":"2008","journal-title":"Sci Total Environ"},{"issue":"Suppl 2","key":"2025010316573933000_bib5","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/S0380-1330(03)70553-X","article-title":"Mercury concentrations in the food web of Lake Malawi, East Africa","volume":"29","author":"Kidd","year":"2003","journal-title":"J Gt Lakes Res"},{"key":"2025010316573933000_bib6","doi-asserted-by":"crossref","first-page":"1572","DOI":"10.1897\/06-359R.1","article-title":"Evaluating mercury biomagnification in fish from a tropical marine environment using stable isotopes (\u03b4 13C and \u03b4 15N)","volume":"26","author":"Al-Reasi","year":"2007","journal-title":"Environ Toxicol Chem"},{"key":"2025010316573933000_bib7","doi-asserted-by":"crossref","first-page":"1114","DOI":"10.1139\/f98-001","article-title":"Biomagnification and bioaccumulation of mercury in an Arctic marine food web: Insights from stable nitrogen isotope analysis","volume":"55","author":"Atwell","year":"1998","journal-title":"Can J Fish Aquat Sci"},{"key":"2025010316573933000_bib8","doi-asserted-by":"crossref","first-page":"2733","DOI":"10.1021\/es8027567","article-title":"Mercury cycling in stream ecosystems. 3. 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