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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-8929582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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