MERGANSER: An empirical model to predict fish and loon mercury in New England Lakes

Environmental Science and Technology

Volumn 46, Issue 8, 2012, Pages 4641-4648

  Shanley, James B ^a   Moore, Richard ^a   Smith, Richard A ^a   Miller, Eric K ^b   Simcox, Alison ^c   Kamman, Neil ^d   Nacci, Diane ^e   Robinson, Keith ^a   Johnston, John M ^f   Hughes, Melissa M ^e   Johnston, Craig ^a   Evers, David ^g   Williams, Kate ^g   Graham, John ^h,j   King, Susannah ⁱ  

^a U S GEOLOGICAL SURVEY   (United States)

^b Ecosystems Research Group Ltd   (United States)

^c Mail Code OEP05 02   (United States)

^d Vermont Department of Environmental Conservation   (United States)

^e US EPA National Health and Environmental Effects Research Laboratory   (United States)

^f U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^g BIODIVERSITY RESEARCH INSTITUTE   (United States)

^h Northeast States for Coordinated Air Use Management   (United States)

ⁱ New England Interstate Water Pollution Control Commission   (United States)

^j Clean Air Task Force   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

DRAINAGE AREA; EMPIRICAL MODEL; FISH ADVISORY; FISH LENGTH; FOREST CANOPIES; GEO-SPATIAL; HG CONCENTRATIONS; LEAST SQUARE; MEAN ANNUAL AIR TEMPERATURES; MULTIPLE REGRESSION MODEL; NEW ENGLAND; POPULATION DENSITIES; PREDICTOR VARIABLES; RISK CATEGORIES; ROOT-MEAN SQUARE ERRORS; SCENARIO EVALUATION; WATERSHED FEATURES;

FISH; LAKES; LANDFORMS; MERCURY (METAL); POPULATION STATISTICS; REGRESSION ANALYSIS; WATERSHEDS;

LAKE POLLUTION;

MERCURY;

AIR TEMPERATURE; ALKALINITY; ATMOSPHERIC DEPOSITION; BIOACCUMULATION; BLOOD; DRAINAGE; EMPIRICAL ANALYSIS; ENVIRONMENTAL RISK; FISH; LACUSTRINE ENVIRONMENT; LAND USE; MERCURY (ELEMENT); MULTIPLE REGRESSION; POPULATION DENSITY; PREDICTION; RISK FACTOR; SLOPE ANGLE; WATER QUALITY; WATERFOWL; WATERSHED;

AGRICULTURE; AIR TEMPERATURE; ALKALINITY; ARTICLE; BLOOD; CANOPY; CONTROLLED STUDY; EMPIRICAL RESEARCH; ERROR; FISH; LAKE; MULTIPLE REGRESSION; NONHUMAN; STATISTICAL MODEL; UNITED STATES; WATER SUPPLY; WATERSHED; WETLAND;

ANIMALS; BIRDS; ENVIRONMENTAL MONITORING; FISHES; LAKES; MERCURY; MODELS, THEORETICAL; NEW ENGLAND; REPRODUCIBILITY OF RESULTS; WATER POLLUTANTS, CHEMICAL;

NEW ENGLAND; UNITED STATES;

GAVIA IMMER; MICROPTERUS DOLOMIEU;

EID: 84859858208     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es300581p     Document Type: Article

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