Dead useful; methods for quantifying baseline variability in stranding rates to improve the ecological value of the strandings record as a monitoring tool

Mariel T.I. ten Doeschate*, Andrew C. Brownlow, Nicholas J. Davison, Paul M. Thompson

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1205-1209
Number of pages5
JournalJournal of the Marine Biological Association of the United Kingdom
Volume98
Issue number5
Early online date11 May 2017
DOIs
Publication statusPublished - 30 Aug 2018

Fingerprint

stranding
ecological value
monitoring
seasonal variation
Phocoena phocoena
resource management
angle of incidence
Scotland
methodology
coasts
rate
method
porpoise
abnormality
seasonality
harbor

Keywords

  • cetaceans
  • Generalized Additive Mixed Model
  • Harbour porpoise
  • monitoring
  • Scotland
  • stranding process
  • strandings
  • Unusual Mortality Event

ASJC Scopus subject areas

  • Aquatic Science

Cite this

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.

In: Journal of the Marine Biological Association of the United Kingdom, Vol. 98, No. 5, 30.08.2018, p. 1205-1209.

Research output: Contribution to journalArticle

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abstract = "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.",
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note = "ACKNOWLEDGEMENTS Significant thanks are due to the many people involved with data collection; in particular everyone who reported, photographed and collated strandings reports over the years. Special thanks to Eileen Hesse, Jessica Wingfield and Dr Ewan Edwards for all useful discussions and support during the first stages of development of this study. FINANCIAL SUPPORT Data collection and post-mortem investigations were carried out under the aegis of the UK Cetacean Strandings Investigation Programme, which is jointly funded by the Department for Environment Food and Rural Affairs (Defra) and the Scottish Government.",
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