Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap
Understanding spatial physical habitat selection driven by competition and/or predator–prey interactions of mobile marine species is a fundamental goal of spatial ecology. However, spatial counts or density data for highly mobile animals often (1) include excess zeros, (2) have spatial correlation,...
Published in: | Ecology and Evolution |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://nora.nerc.ac.uk/id/eprint/517643/ https://nora.nerc.ac.uk/id/eprint/517643/1/Sadykova_et_al-2017-Ecology_and_Evolution.pdf https://doi.org/10.1002/ece3.3081 |
id |
ftnerc:oai:nora.nerc.ac.uk:517643 |
---|---|
record_format |
openpolar |
spelling |
ftnerc:oai:nora.nerc.ac.uk:517643 2023-05-15T15:44:58+02:00 Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap Sadykova, Dinara Scott, Beth E. De Dominicis, Michela Wakelin, Sarah L. Sadykov, Alexander Wolf, Judith 2017-07 text http://nora.nerc.ac.uk/id/eprint/517643/ https://nora.nerc.ac.uk/id/eprint/517643/1/Sadykova_et_al-2017-Ecology_and_Evolution.pdf https://doi.org/10.1002/ece3.3081 en eng https://nora.nerc.ac.uk/id/eprint/517643/1/Sadykova_et_al-2017-Ecology_and_Evolution.pdf Sadykova, Dinara; Scott, Beth E.; De Dominicis, Michela orcid:0000-0003-0544-7939 Wakelin, Sarah L. orcid:0000-0002-2081-2693 Sadykov, Alexander; Wolf, Judith orcid:0000-0003-4129-8221 . 2017 Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap. Ecology and Evolution, 7 (14). 5212-5226. https://doi.org/10.1002/ece3.3081 <https://doi.org/10.1002/ece3.3081> cc_by_4 CC-BY Publication - Article PeerReviewed 2017 ftnerc https://doi.org/10.1002/ece3.3081 2023-02-04T19:45:17Z Understanding spatial physical habitat selection driven by competition and/or predator–prey interactions of mobile marine species is a fundamental goal of spatial ecology. However, spatial counts or density data for highly mobile animals often (1) include excess zeros, (2) have spatial correlation, and (3) have highly nonlinear relationships with physical habitat variables, which results in the need for complex joint spatial models. In this paper, we test the use of Bayesian hierarchical hurdle and zero-inflated joint models with integrated nested Laplace approximation (INLA), to fit complex joint models to spatial patterns of eight mobile marine species (grey seal, harbor seal, harbor porpoise, common guillemot, black-legged kittiwake, northern gannet, herring, and sandeels). For each joint model, we specified nonlinear smoothed effect of physical habitat covariates and selected either competing species or predator–prey interactions. Out of a range of six ecologically important physical and biologic variables that are predicted to change with climate change and large-scale energy extraction, we identified the most important habitat variables for each species and present the relationships between these bio/physical variables and species distributions. In particular, we found that net primary production played a significant role in determining habitat preferences of all the selected mobile marine species. We have shown that the INLA method is well-suited for modeling spatially correlated data with excessive zeros and is an efficient approach to fit complex joint spatial models with nonlinear effects of covariates. Our approach has demonstrated its ability to define joint habitat selection for both competing and prey–predator species that can be relevant to numerous issues in the management and conservation of mobile marine species. Article in Journal/Newspaper Black-legged Kittiwake common guillemot harbor seal Natural Environment Research Council: NERC Open Research Archive Laplace ENVELOPE(141.467,141.467,-66.782,-66.782) Ecology and Evolution 7 14 5212 5226 |
institution |
Open Polar |
collection |
Natural Environment Research Council: NERC Open Research Archive |
op_collection_id |
ftnerc |
language |
English |
description |
Understanding spatial physical habitat selection driven by competition and/or predator–prey interactions of mobile marine species is a fundamental goal of spatial ecology. However, spatial counts or density data for highly mobile animals often (1) include excess zeros, (2) have spatial correlation, and (3) have highly nonlinear relationships with physical habitat variables, which results in the need for complex joint spatial models. In this paper, we test the use of Bayesian hierarchical hurdle and zero-inflated joint models with integrated nested Laplace approximation (INLA), to fit complex joint models to spatial patterns of eight mobile marine species (grey seal, harbor seal, harbor porpoise, common guillemot, black-legged kittiwake, northern gannet, herring, and sandeels). For each joint model, we specified nonlinear smoothed effect of physical habitat covariates and selected either competing species or predator–prey interactions. Out of a range of six ecologically important physical and biologic variables that are predicted to change with climate change and large-scale energy extraction, we identified the most important habitat variables for each species and present the relationships between these bio/physical variables and species distributions. In particular, we found that net primary production played a significant role in determining habitat preferences of all the selected mobile marine species. We have shown that the INLA method is well-suited for modeling spatially correlated data with excessive zeros and is an efficient approach to fit complex joint spatial models with nonlinear effects of covariates. Our approach has demonstrated its ability to define joint habitat selection for both competing and prey–predator species that can be relevant to numerous issues in the management and conservation of mobile marine species. |
format |
Article in Journal/Newspaper |
author |
Sadykova, Dinara Scott, Beth E. De Dominicis, Michela Wakelin, Sarah L. Sadykov, Alexander Wolf, Judith |
spellingShingle |
Sadykova, Dinara Scott, Beth E. De Dominicis, Michela Wakelin, Sarah L. Sadykov, Alexander Wolf, Judith Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap |
author_facet |
Sadykova, Dinara Scott, Beth E. De Dominicis, Michela Wakelin, Sarah L. Sadykov, Alexander Wolf, Judith |
author_sort |
Sadykova, Dinara |
title |
Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap |
title_short |
Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap |
title_full |
Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap |
title_fullStr |
Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap |
title_full_unstemmed |
Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap |
title_sort |
bayesian joint models with inla exploring marine mobile predator-prey and competitor species habitat overlap |
publishDate |
2017 |
url |
http://nora.nerc.ac.uk/id/eprint/517643/ https://nora.nerc.ac.uk/id/eprint/517643/1/Sadykova_et_al-2017-Ecology_and_Evolution.pdf https://doi.org/10.1002/ece3.3081 |
long_lat |
ENVELOPE(141.467,141.467,-66.782,-66.782) |
geographic |
Laplace |
geographic_facet |
Laplace |
genre |
Black-legged Kittiwake common guillemot harbor seal |
genre_facet |
Black-legged Kittiwake common guillemot harbor seal |
op_relation |
https://nora.nerc.ac.uk/id/eprint/517643/1/Sadykova_et_al-2017-Ecology_and_Evolution.pdf Sadykova, Dinara; Scott, Beth E.; De Dominicis, Michela orcid:0000-0003-0544-7939 Wakelin, Sarah L. orcid:0000-0002-2081-2693 Sadykov, Alexander; Wolf, Judith orcid:0000-0003-4129-8221 . 2017 Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap. Ecology and Evolution, 7 (14). 5212-5226. https://doi.org/10.1002/ece3.3081 <https://doi.org/10.1002/ece3.3081> |
op_rights |
cc_by_4 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1002/ece3.3081 |
container_title |
Ecology and Evolution |
container_volume |
7 |
container_issue |
14 |
container_start_page |
5212 |
op_container_end_page |
5226 |
_version_ |
1766379324586328064 |