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Thomas_A unified framework for modelling wildlife population dynamics 2005preprint.pdf224.23 kBAdobe PDFView/Open
sis_driver_A unified framework for modelling wildlife population dynamics.txt2.62 kBTextView/Open
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Title: A unified framework for modelling wildlife population dynamics
Authors: Thomas, Len
Buckland, Stephen T.
Newman, KB
Harwood, John
Keywords: auxiliary particle filter
Grey Seals
Halichoerus grypus
nonlinear stochastic matrix models
sequential importance sampling
state–space models
conservation and management
Issue Date: 2005
Citation: Australian and New Zealand Journal of Statistics 47(1): 19-34 March 2005
Abstract: This paper proposes a unified framework for defining and fitting stochastic, discrete-time, discrete-stage population dynamics models. The biological system is described by a state–space model, where the true but unknown state of the population is modelled by a state process, and this is linked to survey data by an observation process. All sources of uncertainty in the inputs, including uncertainty about model specification, are readily incorporated. The paper shows how the state process can be represented as a generalization of the standard Leslie or Lefkovitch matrix. By dividing the state process into subprocesses, complex models can be constructed from manageable building blocks. The paper illustrates the approach with a model of the British Grey Seal metapopulation, using sequential importance sampling with kernel smoothing to fit the model.
Version: Postprint
Description: The pdf document contains the full article text; program code (in S-PLUS 6.1) for the example analysis is in the three text files; data is available from the Sea Mammal Research Unit (
ISSN: 1369-1473
Type: Journal article
Rights: The definitive version is available at
Publication Status: Published
Status: Peer reviewed
Appears in Collections:Statistics Research
Centre for Research into Ecological & Environmental Modelling (CREEM) Research

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