In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 3 ( 2022-3-17), p. e0264289-
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0264289
DOI:
10.1371/journal.pone.0264289.g001
DOI:
10.1371/journal.pone.0264289.g002
DOI:
10.1371/journal.pone.0264289.g003
DOI:
10.1371/journal.pone.0264289.g004
DOI:
10.1371/journal.pone.0264289.g005
DOI:
10.1371/journal.pone.0264289.g006
DOI:
10.1371/journal.pone.0264289.g007
DOI:
10.1371/journal.pone.0264289.t001
DOI:
10.1371/journal.pone.0264289.t002
DOI:
10.1371/journal.pone.0264289.s001
DOI:
10.1371/journal.pone.0264289.s002
DOI:
10.1371/journal.pone.0264289.s003
DOI:
10.1371/journal.pone.0264289.s004
DOI:
10.1371/journal.pone.0264289.s005
DOI:
10.1371/journal.pone.0264289.s006
DOI:
10.1371/journal.pone.0264289.s007
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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