Probabilistically assessing the role of nutrient loading in harmful algal bloom formation in western Lake Erie

Journal of Great Lakes Research

Volumn 42, Issue 6, 2016, Pages 1184-1192

  Bertani, Isabella ^a   Obenour, Daniel R ^b   Steger, Cara E ^a,d   Stow, Craig A ^c   Gronewold, Andrew D ^c   Scavia, Donald ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b North Carolina State University   (United States)

^c NOAA GREAT LAKES ENVIRONMENTAL RESEARCH LABORATORY   (United States)

^d Veterinary Dentistry and Oral Surgery   (United States)

Author keywords

Bayesian hierarchical model; Cyanobacteria blooms; Phosphorus load

Indexed keywords

ALGAE CONTROL; HIERARCHICAL SYSTEMS; LAKES; PHOSPHORUS; TOXIC MATERIALS; UNCERTAINTY ANALYSIS; WATER QUALITY;

BAYESIAN HIERARCHICAL MODEL; CYANOBACTERIA BLOOMS; GREAT LAKES WATER QUALITY AGREEMENTS; HARMFUL ALGAL BLOOMS; HIERARCHICAL MODEL; MODELING AND MEASUREMENT; NUTRIENT LOADING; PHOSPHORUS LOADS;

LOAD TESTING;

ALGAL BLOOM; ASSESSMENT METHOD; BAYESIAN ANALYSIS; BIOAVAILABILITY; CYANOBACTERIUM; HYPOTHESIS TESTING; NUMERICAL MODEL; NUTRIENT ENRICHMENT; PHOSPHORUS; WATER QUALITY;

GREAT LAKES [NORTH AMERICA]; LAKE ERIE; MAUMEE RIVER; UNITED STATES;

ALGAE; CYANOBACTERIA;

EID: 84964941478     PISSN: 03801330     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jglr.2016.04.002     Document Type: Article

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