Hierarchical models for smoothed population indices: The importance of considering variations in trends of count data among sites

Ecological Indicators

Volumn 13, Issue 1, 2012, Pages 243-252

  Amano, Tatsuya ^a,b   Okamura, Hiroshi ^c   Carrizo, Savrina F ^b   Sutherland, William J ^b  

^a NATIONAL INSTITUTE FOR AGRO ENVIRONMENTAL SCIENCES   (Japan)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c NATIONAL RESEARCH INSTITUTE OF FAR SEAS FISHERIES   (Japan)

Author keywords

Hierarchical Bayesian models; Monitoring data; Population change; Population index; Process error

Indexed keywords

ACCURACY AND PRECISION; BIRD SPECIES; CONSERVATION SCIENCE; CONVENTIONAL APPROACH; GENERALIZED ADDITIVE MODEL; GENERALIZED LINEAR MODEL; HIERARCHICAL BAYESIAN MODELS; HIERARCHICAL MODEL; NON-LINEAR TRENDS; NORTH AMERICAN; POPULATION CHANGE; POPULATION GROWTH RATES; POPULATION INDEX; POPULATION SIZES; PROCESS ERRORS; SIMULATION DATA; TEMPORAL CHANGE; WATERBIRDS;

BAYESIAN NETWORKS; BIRDS; COMPUTER SIMULATION; ECOLOGY; HIERARCHICAL SYSTEMS; SURVEYS;

POPULATION STATISTICS;

ARTIFICIAL ECOSYSTEM; BAYESIAN ANALYSIS; BREEDING POPULATION; COHORT ANALYSIS; CONSERVATION STATUS; GROWTH RATE; HIERARCHICAL SYSTEM; PERFORMANCE ASSESSMENT; POPULATION SIZE; POPULATION VIABILITY ANALYSIS; PRECISION; WATERFOWL;

AVES;

EID: 80053241912     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2011.06.008     Document Type: Article

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