Bayesian point process modelling of ecological communities

Biotic communities--Mathematical models;Coexistence of species--Mathematical models;Point processes;Bayesian statistical decision theory

Nightingale, Glenna Faith ; Illian, Janine ; Illian, Janine

University:University of St Andrews

Department:Research Centres and Institutes

关键词: Biotic communities--Mathematical models;    Coexistence of species--Mathematical models;    Point processes;    Bayesian statistical decision theory;   

Others  :  https://research-repository.st-andrews.ac.uk/bitstream/handle/10023/3710/GlennaNightingalePhDThesis.pdf?sequence=3&isAllowed=y

来源: DR-NTU

【 摘 要 】

The modelling of biological communities is important to further the understandingof species coexistence and the mechanisms involved in maintainingbiodiversity. This involves considering not only interactions between individualbiological organisms, but also the incorporation of covariate information,if available, in the modelling process. This thesis explores the useof point processes to model interactions in bivariate point patterns withina Bayesian framework, and, where applicable, in conjunction with covariatedata. Specifically, we distinguish between symmetric and asymmetric speciesinteractions and model these using appropriate point processes. In this thesiswe consider both pairwise and area interaction point processes to allow forinhibitory interactions and both inhibitory and attractive interactions.It is envisaged that the analyses and innovations presented in this thesiswill contribute to the parsimonious modelling of biological communities.