A spatiotemporal multispecies model of a semicontinuous response

Jones-Todd, C. M., Swallow, B. , Illian, J. B. and Toms, M. (2018) A spatiotemporal multispecies model of a semicontinuous response. Journal of the Royal Statistical Society: Series C (Applied Statistics), 67(3), pp. 705-722. (doi:10.1111/rssc.12250)

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Abstract

As accessible and potentially vulnerable species high up in the food chain, birds are often used as indicator species to highlight changes in ecosystems. This study focuses on multiple spatially dependent relationships between a raptor (sparrowhawk), a potential prey species (house sparrow) and a sympatric species (collared doves) in space and time. We construct a complex spatiotemporal latent Gaussian model to incorporate both predator–prey and sympatric relationships, which is novel in two ways. First, different types of species interactions are represented by a shared spatiotemporal random effect, which extends existing approaches to multivariate spatial modelling through the use of a joint latent modelling approach. Second, we use a delta–gamma model to capture the semicontinuous nature of the data to model the binary and continuous sections of the response jointly. The results indicate that sparrowhawks have a localized effect on the presence of house sparrows, which could indicate that house sparrows avoid sites where sparrowhawks are present.

Item Type:Articles
Additional Information:BS was part funded by Engineering and Physical Sciences Research Council–Natural Environment Research Council grant EP/10009171/1.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Illian, Professor Janine and Swallow, Dr Ben
Authors: Jones-Todd, C. M., Swallow, B., Illian, J. B., and Toms, M.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Journal of the Royal Statistical Society: Series C (Applied Statistics)
Publisher:Wiley
ISSN:0035-9254
ISSN (Online):1467-9876
Published Online:04 October 2017
Copyright Holders:Copyright © 2017 Royal Statistics Society
First Published:First published in Journal of the Royal Statistical Society: Series C (Applied Statistics) 67(3): 705-722
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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