Neural net modeling of estuarine indicators: Hindcasting phytoplankton biomass and net ecosystem production in the Neuse (North Carolina) and Trout (Florida) Rivers, USA

Ecological Indicators

Volumn 6, Issue 3, 2006, Pages 589-608

  Millie, David F ^a,f   Weckman, Gary R ^b   Paerl, Hans W ^c   Pinckney, James L ^d   Bendis, Brian J ^e   Pigg, Ryan J ^f   Fahnenstiel, Gary L ^g  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b Ohio University   (United States)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

^d UNIVERSITY OF SOUTH CAROLINA   (United States)

^e AMJ Equipment Corporation   (United States)

^f FISH AND WILDLIFE RESEARCH INSTITUTE   (United States)

^g National Oceanic Atmospheric Administration   (United States)

Author keywords

Algae; Ecosystem modeling; Estuary; Neural networks; Regression

Indexed keywords

ALGAE; BIOMASS; CHLOROPHYLL; ECOSYSTEMS; NEURAL NETWORKS; REGRESSION ANALYSIS;

ECOSYSTEM MODELING; ESTUARINE FLOW DYNAMICS; NET ECOSYSTEM PRODUCTION (NEP); PHYTOPLANKTON;

ESTUARIES;

ARTIFICIAL NEURAL NETWORK; BIOINDICATOR; BIOMASS; BIOTIC FACTOR; CHLOROPHYLL A; ENVIRONMENTAL CONDITIONS; ESTUARY; HETEROTROPHY; HINDCASTING; HYDROLOGICAL RESPONSE; METEOROLOGY; NET ECOSYSTEM PRODUCTION; PERIODICITY; PHOTOAUTOTROPHY; PHYTOPLANKTON; REGRESSION ANALYSIS; SALINITY; SEASONAL VARIATION; TEMPORAL VARIATION; WATER FLOW;

FLORIDA [UNITED STATES]; MICHIGAN; NEUSE RIVER; NORTH AMERICA; NORTH CAROLINA; TROUT RIVER; UNITED STATES;

SALMONIDAE;

EID: 33645529940     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2005.08.021     Document Type: Article

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