Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool
The ecological value of the stranding record is often challenged due to the complexity in quantifying the biases associated with multiple components of the stranding process. There are biological, physical and social aspects that complicate the interpretation of stranding data particularly at a popu...
Published in: | Journal of the Marine Biological Association of the United Kingdom |
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Cambridge University Press
2018
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ftuglasgow:oai:eprints.gla.ac.uk:260208 2023-05-15T16:33:27+02:00 Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool ten Doeschate, Mariel T.I. Brownlow, Andrew C. Davison, Nicholas J. Thompson, Paul M. 2018-08 https://eprints.gla.ac.uk/260208/ unknown Cambridge University Press ten Doeschate, M. T.I. <http://eprints.gla.ac.uk/view/author/64472.html> , Brownlow, A. C. <http://eprints.gla.ac.uk/view/author/60893.html> , Davison, N. J. <http://eprints.gla.ac.uk/view/author/62252.html> and Thompson, P. M. (2018) Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool. Journal of the Marine Biological Association of the United Kingdom <https://eprints.gla.ac.uk/view/journal_volume/Journal_of_the_Marine_Biological_Association_of_the_United_Kingdom.html>, 98(5), pp. 1205-1209. (doi:10.1017/s0025315417000698 <https://doi.org/10.1017/s0025315417000698>) Articles PeerReviewed 2018 ftuglasgow https://doi.org/10.1017/s0025315417000698 2022-09-22T22:17:12Z The ecological value of the stranding record is often challenged due to the complexity in quantifying the biases associated with multiple components of the stranding process. There are biological, physical and social aspects that complicate the interpretation of stranding data particularly at a population level. We show how examination of baseline variability in the historical stranding record can provide useful insights into temporal trends and facilitate the detection of unusual variability in stranding rates. Seasonal variability was examined using harbour porpoise strandings between 1992 and 2014 on the east coast of Scotland. Generalized Additive Mixed modelling revealed a strong seasonal pattern, with numbers increasing from February towards a peak in April. Profiling seasonality this way facilitates detection of unusual variations in stranding frequencies and permits for any change in the incidence of strandings to be quantified by evaluation of the normalized model residuals. Consequently, this model can be used to identify unusual mortality events, and quantify the degree to which they deviate from baseline. With this study we demonstrate that a described baseline in strandings allows the detection of abnormalities at an early stage and can be used as a regional framework of reference for monitoring. This methodology provides means to quantify and partition the variability associated with strandings data and is a useful first step towards improving the stranding record as a management resource. Article in Journal/Newspaper Harbour porpoise University of Glasgow: Enlighten - Publications Journal of the Marine Biological Association of the United Kingdom 98 5 1205 1209 |
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Open Polar |
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University of Glasgow: Enlighten - Publications |
op_collection_id |
ftuglasgow |
language |
unknown |
description |
The ecological value of the stranding record is often challenged due to the complexity in quantifying the biases associated with multiple components of the stranding process. There are biological, physical and social aspects that complicate the interpretation of stranding data particularly at a population level. We show how examination of baseline variability in the historical stranding record can provide useful insights into temporal trends and facilitate the detection of unusual variability in stranding rates. Seasonal variability was examined using harbour porpoise strandings between 1992 and 2014 on the east coast of Scotland. Generalized Additive Mixed modelling revealed a strong seasonal pattern, with numbers increasing from February towards a peak in April. Profiling seasonality this way facilitates detection of unusual variations in stranding frequencies and permits for any change in the incidence of strandings to be quantified by evaluation of the normalized model residuals. Consequently, this model can be used to identify unusual mortality events, and quantify the degree to which they deviate from baseline. With this study we demonstrate that a described baseline in strandings allows the detection of abnormalities at an early stage and can be used as a regional framework of reference for monitoring. This methodology provides means to quantify and partition the variability associated with strandings data and is a useful first step towards improving the stranding record as a management resource. |
format |
Article in Journal/Newspaper |
author |
ten Doeschate, Mariel T.I. Brownlow, Andrew C. Davison, Nicholas J. Thompson, Paul M. |
spellingShingle |
ten Doeschate, Mariel T.I. Brownlow, Andrew C. Davison, Nicholas J. Thompson, Paul M. Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool |
author_facet |
ten Doeschate, Mariel T.I. Brownlow, Andrew C. Davison, Nicholas J. Thompson, Paul M. |
author_sort |
ten Doeschate, Mariel T.I. |
title |
Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool |
title_short |
Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool |
title_full |
Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool |
title_fullStr |
Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool |
title_full_unstemmed |
Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool |
title_sort |
dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool |
publisher |
Cambridge University Press |
publishDate |
2018 |
url |
https://eprints.gla.ac.uk/260208/ |
genre |
Harbour porpoise |
genre_facet |
Harbour porpoise |
op_relation |
ten Doeschate, M. T.I. <http://eprints.gla.ac.uk/view/author/64472.html> , Brownlow, A. C. <http://eprints.gla.ac.uk/view/author/60893.html> , Davison, N. J. <http://eprints.gla.ac.uk/view/author/62252.html> and Thompson, P. M. (2018) Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool. Journal of the Marine Biological Association of the United Kingdom <https://eprints.gla.ac.uk/view/journal_volume/Journal_of_the_Marine_Biological_Association_of_the_United_Kingdom.html>, 98(5), pp. 1205-1209. (doi:10.1017/s0025315417000698 <https://doi.org/10.1017/s0025315417000698>) |
op_doi |
https://doi.org/10.1017/s0025315417000698 |
container_title |
Journal of the Marine Biological Association of the United Kingdom |
container_volume |
98 |
container_issue |
5 |
container_start_page |
1205 |
op_container_end_page |
1209 |
_version_ |
1766023138648260608 |