Poor-data and data-poor species stock assessment using a Bayesian hierarchical approach

Ecological Applications

Volumn 21, Issue 7, 2011, Pages 2691-2708

  Jiao, Yan ^a   Cortés, Enric ^b   Andrews, Kate ^b   Guo, Feng ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b SOUTHEAST FISHERIES SCIENCE CENTER   (United States)

Author keywords

Bayesian hierarchical model; Data poor assessment; Fish complex; Hammerhead shark; Population dynamics; Small sample size

Indexed keywords

BAYESIAN ANALYSIS; CARRYING CAPACITY; CATCH STATISTICS; DATA SET; GROWTH RATE; HIERARCHICAL SYSTEM; POPULATION ESTIMATION; POPULATION GROWTH; RELATIVE ABUNDANCE; SHARK; STOCK ASSESSMENT;

ANIMAL; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; PHYSIOLOGY; POPULATION DENSITY; SHARK; SPECIES DIFFERENCE; TIME;

ANIMALS; BAYES THEOREM; CONSERVATION OF NATURAL RESOURCES; ENVIRONMENTAL MONITORING; MODELS, BIOLOGICAL; POPULATION DENSITY; SHARKS; SPECIES SPECIFICITY; TIME FACTORS;

ATLANTIC OCEAN; GULF OF MEXICO; UNITED STATES;

CHONDRICHTHYES; SPHYRNA; SPHYRNA LEWINI; SPHYRNA MOKARRAN; SPHYRNA ZYGAENA; SPHYRNIDAE;

EID: 80053947892     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/10-0526.1     Document Type: Article

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