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Bayesian point process modelling of ecological communities

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GlennaNightingalePhDThesis.pdf (14.57Mb)
Date
28/06/2013
Author
Nightingale, Glenna Faith
Supervisor
Illian, Janine
King, Ruth
Keywords
Point processes
Bayesian framework
Ecological interactions
RJMCMC
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Abstract
The modelling of biological communities is important to further the understanding of species coexistence and the mechanisms involved in maintaining biodiversity. This involves considering not only interactions between individual biological organisms, but also the incorporation of covariate information, if available, in the modelling process. This thesis explores the use of point processes to model interactions in bivariate point patterns within a Bayesian framework, and, where applicable, in conjunction with covariate data. Specifically, we distinguish between symmetric and asymmetric species interactions and model these using appropriate point processes. In this thesis we consider both pairwise and area interaction point processes to allow for inhibitory interactions and both inhibitory and attractive interactions. It is envisaged that the analyses and innovations presented in this thesis will contribute to the parsimonious modelling of biological communities.
Type
Thesis, PhD Doctor of Philosophy
Collections
  • Centre for Research into Ecological & Environmental Modelling (CREEM) Theses
  • Statistics Theses
URI
http://hdl.handle.net/10023/3710

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