Free access to JRSSC paper on spatiotemporal multispecies models

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  • Author: Statistics Views
  • Date: 05 February 2018

Each week, we select a recently published article and provide free access. This week's is from the Royal Statistical Society Journal: Series C (Applied Statistics) and is available on Early View.

A spatiotemporal multispecies model of a semicontinuous response

Charlotte M. Jones-Todd, Ben Swallow, Janine B. Illian and Mike Toms

Journal of the Royal Statistical Society: Series C (Applied Statistics)

DOI: 10.1111/rssc.12250

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The introduction is provided below:

thumbnail image: Free access to JRSSC paper on spatiotemporal multispecies models

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.

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