State-space models for stochastic and seasonal fluctuations of vole and shrew populations in east-central Illinois

Ecological Modelling

Volumn 207, Issue 2-4, 2007, Pages 189-196

  Wang, Guiming ^a   Getz, Lowell L ^b  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Basic structural model; Markov chain Monte Carlo; Population dynamics; Seasonal fluctuation; Shrews; State space model; Stochasticity; Time series analysis; Voles

Indexed keywords

CLIMATE CHANGE; MARKOV PROCESSES; MONTE CARLO METHODS; POPULATION DYNAMICS; STATE SPACE METHODS; STOCHASTIC MODELS; TIME SERIES ANALYSIS;

BASIC STRUCTURAL MODELS; MARKOV CHAIN MONTE CARLO; SEASONAL FLUCTUATIONS; STATE-SPACE MODELS;

BIODIVERSITY;

ANNUAL VARIATION; BAYESIAN ANALYSIS; DENSITY DEPENDENCE; ECOLOGICAL MODELING; POPULATION DYNAMICS; SEASONAL VARIATION; SMALL MAMMAL; STOCHASTICITY; TIME SERIES ANALYSIS;

ILLINOIS; NORTH AMERICA; UNITED STATES;

BLARINA BREVICAUDA; MAMMALIA; MICROTUS OCHROGASTER; MURIDAE; SORICIDAE;

EID: 34548509719     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2007.04.026     Document Type: Article

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