The Library
A spatiotemporal multispecies model of a semicontinuous response
Tools
Tools
Tools
Jones-Todd, Charlotte M., Swallow, Ben, Illian, Janine B. and Toms, Mike (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 ISSN 0035-9254.
|
PDF
WRAP-spatio-temporal-multi-species-model-semi-continuous-Swallow-2017.pdf - Accepted Version - Requires a PDF viewer. Download (1799Kb) | Preview |
Official URL: http://dx.doi.org/10.1111/rssc.12250
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: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics Q Science > QL Zoology |
||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | ||||||||
| Library of Congress Subject Headings (LCSH): | Multivariate analysis, European sparrowhawk, House sparrow | ||||||||
| Journal or Publication Title: | Journal of the Royal Statistical Society: Series C (Applied Statistics) | ||||||||
| Publisher: | Wiley-Blackwell Publishing Ltd. | ||||||||
| ISSN: | 0035-9254 | ||||||||
| Official Date: | April 2018 | ||||||||
| Dates: |
|
||||||||
| Volume: | 67 | ||||||||
| Number: | 3 | ||||||||
| Page Range: | pp. 705-722 | ||||||||
| DOI: | 10.1111/rssc.12250 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 30 November 2017 | ||||||||
| Date of first compliant Open Access: | 4 October 2018 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
