Tuning stochastic matrix models with hydrologic data to predict the population dynamics of a riverine fish

Ecological Applications

Volumn 20, Issue 2, 2010, Pages 483-496

  Sakaris, Peter C ^a,b   Irwin, Elise R ^a  

^a AUBURN UNIVERSITY   (United States)

^b SOUTHERN POLYTECHNIC STATE UNIVERSITY   (United States)

Author keywords

Alabama; Coosa river; Dams; Fishes; Flathead catfish; Georgia; Hydrology; Lotic; Matrix model; Ocmulgee river; Pylodictis olivaris; River regulation; Riverine; Usa; Usa, population dynamics

Indexed keywords

ANNUAL VARIATION; DATA SET; FISHERY MODELING; FISHING MORTALITY; HYDROLOGICAL CYCLE; POPULATION DENSITY; POPULATION MODELING; POPULATION SIZE; RECRUITMENT (POPULATION DYNAMICS); REGRESSION ANALYSIS; RIVER; SALMONID; SEASONAL VARIATION; STOCHASTICITY;

ANIMAL; ARTICLE; ENVIRONMENTAL MONITORING; FISH; GROWTH, DEVELOPMENT AND AGING; POPULATION DYNAMICS; RIVER; THEORETICAL MODEL;

ANIMALS; ENVIRONMENTAL MONITORING; FISHES; MODELS, THEORETICAL; POPULATION DYNAMICS; RIVERS;

COOSA RIVER; GEORGIA; OCMULGEE BASIN; UNITED STATES;

PISCES; PYLODICTIS; PYLODICTIS OLIVARIS;

EID: 77950110526     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/08-0305.1     Document Type: Article

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