Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs)
To develop appropriate spatial conservation planning for individual species, it is important to understand their habitat requirements and in particular to identify areas where critical life-history process such as breeding, weaning or feeding take place. The process of defining critical habitat ofte...
Published in: | Journal of Agricultural, Biological, and Environmental Statistics |
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Online Access: | https://risweb.st-andrews.ac.uk/portal/en/researchoutput/modelling-killer-whale-feeding-behaviour-using-a-spatially-adaptive-complex-region-spatial-smoother-cress-and-generalised-estimating-equations-gees(22feea3d-f84f-4e19-b7ed-3ad66fbff134).html https://doi.org/10.1007/s13253-015-0209-2 |
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ftunstandrewcris:oai:risweb.st-andrews.ac.uk:publications/22feea3d-f84f-4e19-b7ed-3ad66fbff134 2023-05-15T15:37:13+02:00 Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs) Scott Hayward, Lindesay Alexandra Sarah MacKenzie, Monique Lea Ashe, Erin Williams, Rob 2015-09 https://risweb.st-andrews.ac.uk/portal/en/researchoutput/modelling-killer-whale-feeding-behaviour-using-a-spatially-adaptive-complex-region-spatial-smoother-cress-and-generalised-estimating-equations-gees(22feea3d-f84f-4e19-b7ed-3ad66fbff134).html https://doi.org/10.1007/s13253-015-0209-2 eng eng info:eu-repo/semantics/restrictedAccess Scott Hayward , L A S , MacKenzie , M L , Ashe , E & Williams , R 2015 , ' Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs) ' , Journal of Agricultural, Biological and Environmental Statistics , vol. 20 , no. 3 , pp. 305-322 . https://doi.org/10.1007/s13253-015-0209-2 article 2015 ftunstandrewcris https://doi.org/10.1007/s13253-015-0209-2 2021-12-26T14:19:09Z To develop appropriate spatial conservation planning for individual species, it is important to understand their habitat requirements and in particular to identify areas where critical life-history process such as breeding, weaning or feeding take place. The process of defining critical habitat often ignores behavioural aspects of animal distribution, which for highly migratory species like baleen whales whose feeding and breeding grounds are clearly demarcated and widely separated is not a problem. However, for other species like the endangered ‘Eastern North Pacific southern resident’ killer whale stock, critical life-history processes occur in the same waters. This killer whale stock lives in a topographically complex region (many islands) off the west coast of Canada/USA, which makes accurate mapping of densities or behaviours difficult using traditional generalised additive models. We present results on the spatial distribution of southern resident killer whale feeding grounds in 2006, using a binomial, complex region spatial smoothing model within a generalised estimating equation framework, which allows for both complex topography and correlated residuals. The model performs well and suggests a region to the south of San Juan Island as an area with a high probability of feeding, which could not have been as accurately established from a more traditional presence–absence model. We also calculate estimates of precision, which other studies did not include, enabling more informed management decisions for spatial conservation planning. A vignette containing the code along with an R workspace and function file is provided to allow the user to fit the models presented in this paper. Article in Journal/Newspaper baleen whales Killer Whale Killer whale University of St Andrews: Research Portal Canada Many Islands ENVELOPE(-119.170,-119.170,56.317,56.317) Pacific San Juan Journal of Agricultural, Biological, and Environmental Statistics 20 3 305 322 |
institution |
Open Polar |
collection |
University of St Andrews: Research Portal |
op_collection_id |
ftunstandrewcris |
language |
English |
description |
To develop appropriate spatial conservation planning for individual species, it is important to understand their habitat requirements and in particular to identify areas where critical life-history process such as breeding, weaning or feeding take place. The process of defining critical habitat often ignores behavioural aspects of animal distribution, which for highly migratory species like baleen whales whose feeding and breeding grounds are clearly demarcated and widely separated is not a problem. However, for other species like the endangered ‘Eastern North Pacific southern resident’ killer whale stock, critical life-history processes occur in the same waters. This killer whale stock lives in a topographically complex region (many islands) off the west coast of Canada/USA, which makes accurate mapping of densities or behaviours difficult using traditional generalised additive models. We present results on the spatial distribution of southern resident killer whale feeding grounds in 2006, using a binomial, complex region spatial smoothing model within a generalised estimating equation framework, which allows for both complex topography and correlated residuals. The model performs well and suggests a region to the south of San Juan Island as an area with a high probability of feeding, which could not have been as accurately established from a more traditional presence–absence model. We also calculate estimates of precision, which other studies did not include, enabling more informed management decisions for spatial conservation planning. A vignette containing the code along with an R workspace and function file is provided to allow the user to fit the models presented in this paper. |
format |
Article in Journal/Newspaper |
author |
Scott Hayward, Lindesay Alexandra Sarah MacKenzie, Monique Lea Ashe, Erin Williams, Rob |
spellingShingle |
Scott Hayward, Lindesay Alexandra Sarah MacKenzie, Monique Lea Ashe, Erin Williams, Rob Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs) |
author_facet |
Scott Hayward, Lindesay Alexandra Sarah MacKenzie, Monique Lea Ashe, Erin Williams, Rob |
author_sort |
Scott Hayward, Lindesay Alexandra Sarah |
title |
Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs) |
title_short |
Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs) |
title_full |
Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs) |
title_fullStr |
Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs) |
title_full_unstemmed |
Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs) |
title_sort |
modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (cress) and generalised estimating equations (gees) |
publishDate |
2015 |
url |
https://risweb.st-andrews.ac.uk/portal/en/researchoutput/modelling-killer-whale-feeding-behaviour-using-a-spatially-adaptive-complex-region-spatial-smoother-cress-and-generalised-estimating-equations-gees(22feea3d-f84f-4e19-b7ed-3ad66fbff134).html https://doi.org/10.1007/s13253-015-0209-2 |
long_lat |
ENVELOPE(-119.170,-119.170,56.317,56.317) |
geographic |
Canada Many Islands Pacific San Juan |
geographic_facet |
Canada Many Islands Pacific San Juan |
genre |
baleen whales Killer Whale Killer whale |
genre_facet |
baleen whales Killer Whale Killer whale |
op_source |
Scott Hayward , L A S , MacKenzie , M L , Ashe , E & Williams , R 2015 , ' Modelling killer whale feeding behaviour using a spatially adaptive complex region spatial smoother (CReSS) and generalised estimating equations (GEEs) ' , Journal of Agricultural, Biological and Environmental Statistics , vol. 20 , no. 3 , pp. 305-322 . https://doi.org/10.1007/s13253-015-0209-2 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1007/s13253-015-0209-2 |
container_title |
Journal of Agricultural, Biological, and Environmental Statistics |
container_volume |
20 |
container_issue |
3 |
container_start_page |
305 |
op_container_end_page |
322 |
_version_ |
1766367673169477632 |