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Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA)

The cetacean conservationist is often faced with evaluating population trends from abundance data that are either sparse or recorded at different times in different years. The presence of diel or seasonal patterns in the data together with unplanned gaps is often problematic. Such data are typical o...

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Autores principales: Grist, Eric P. M., McKinley, Trevelyan J., Das, Saptarshi, Tregenza, Tom, Jeffries, Aileen, Tregenza, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929582/
https://www.ncbi.nlm.nih.gov/pubmed/35298473
http://dx.doi.org/10.1371/journal.pone.0264289
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author Grist, Eric P. M.
McKinley, Trevelyan J.
Das, Saptarshi
Tregenza, Tom
Jeffries, Aileen
Tregenza, Nicholas
author_facet Grist, Eric P. M.
McKinley, Trevelyan J.
Das, Saptarshi
Tregenza, Tom
Jeffries, Aileen
Tregenza, Nicholas
author_sort Grist, Eric P. M.
collection PubMed
description The cetacean conservationist is often faced with evaluating population trends from abundance data that are either sparse or recorded at different times in different years. The presence of diel or seasonal patterns in the data together with unplanned gaps is often problematic. Such data are typical of those obtained from static acoustic monitoring. We present a simple and transparent non-parametric trend evaluation method, ‘Paired Year Ratio Assessment (PYRA)’ that uses only whole days of data wherever they are present in each of successive pairs of periods of 365 days. We provide a quantitative comparison of the performance of PYRA with traditional generalised additive models (GAMS) and nonparametric randomisation tests that require a greater level of skill and experience for both application and interpretation. We conclude that PYRA is a powerful tool, particularly in the context of identifying population trends which is often the main aim of conservation-targeted acoustic monitoring.
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spelling pubmed-89295822022-03-18 Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA) Grist, Eric P. M. McKinley, Trevelyan J. Das, Saptarshi Tregenza, Tom Jeffries, Aileen Tregenza, Nicholas PLoS One Research Article The cetacean conservationist is often faced with evaluating population trends from abundance data that are either sparse or recorded at different times in different years. The presence of diel or seasonal patterns in the data together with unplanned gaps is often problematic. Such data are typical of those obtained from static acoustic monitoring. We present a simple and transparent non-parametric trend evaluation method, ‘Paired Year Ratio Assessment (PYRA)’ that uses only whole days of data wherever they are present in each of successive pairs of periods of 365 days. We provide a quantitative comparison of the performance of PYRA with traditional generalised additive models (GAMS) and nonparametric randomisation tests that require a greater level of skill and experience for both application and interpretation. We conclude that PYRA is a powerful tool, particularly in the context of identifying population trends which is often the main aim of conservation-targeted acoustic monitoring. Public Library of Science 2022-03-17 /pmc/articles/PMC8929582/ /pubmed/35298473 http://dx.doi.org/10.1371/journal.pone.0264289 Text en © 2022 Grist et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Grist, Eric P. M.
McKinley, Trevelyan J.
Das, Saptarshi
Tregenza, Tom
Jeffries, Aileen
Tregenza, Nicholas
Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA)
title Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA)
title_full Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA)
title_fullStr Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA)
title_full_unstemmed Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA)
title_short Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA)
title_sort estimating cetacean population trends from static acoustic monitoring data using paired year ratio assessment (pyra)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929582/
https://www.ncbi.nlm.nih.gov/pubmed/35298473
http://dx.doi.org/10.1371/journal.pone.0264289
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