Sample-size requirements for accurate length-frequency distributions of mesophotic reef fishes from baited remote underwater stereo video
Accurate descriptions of size structure are important for adaptive management of marine fish populations subject to anthropogenic and environmental pressures. This requires monitoring programs that can measure the length of enough individuals within each focal fish population. This study assessed th...
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2021
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oai:doaj.org-article:5d6a3bb949694e3e98b9b0d4d642ef992021-12-01T04:40:56ZSample-size requirements for accurate length-frequency distributions of mesophotic reef fishes from baited remote underwater stereo video1470-160X10.1016/j.ecolind.2020.107262https://doaj.org/article/5d6a3bb949694e3e98b9b0d4d642ef992021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20312012https://doaj.org/toc/1470-160XAccurate descriptions of size structure are important for adaptive management of marine fish populations subject to anthropogenic and environmental pressures. This requires monitoring programs that can measure the length of enough individuals within each focal fish population. This study assessed the number of length measurements required to accurately describe the size structure in a range of common mesophotic demersal fish species observed from baited remote underwater stereo video (stereo BRUV) sampling programs. Here, we use a resampling approach from an empirical length dataset collected as a part of ongoing monitoring efforts to characterize mesophotic reef fish assemblages across the continental shelf of eastern and southern Tasmania, Australia. The results suggest that, on average, between 60 and 120 individuals length measurements are needed from at least 20 to 2000 independent deployments to be 95% confident that samples reflected the “real” size structure of fishes captured using stereo BRUVs. It is important to note that the “real” size-structure of each fish species here is unknown but was parameterized by pooling all measurements across the stereo BRUV dataset. It should also be noted that the exact number of length measurements differs across species, with some less abundant species requiring substantial sampling effort. This study helps to inform initial sampling requirements for length measurements for monitoring programs using stereo BRUVs. It provides a methodology that can aid researchers to further refine the overall sampling effort for future fisheries and marine park monitoring applications.Illangarathne Arachchige WeerarathneJacquomo MonkNeville BarrettElsevierarticleDemersal fish monitoringFisheries monitoringNo-take marine reserve monitoringSize structureStereo BRUVMesophotic temperate reefEcologyQH540-549.5ENEcological Indicators, Vol 122, Iss , Pp 107262- (2021) |
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Demersal fish monitoring Fisheries monitoring No-take marine reserve monitoring Size structure Stereo BRUV Mesophotic temperate reef Ecology QH540-549.5 |
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Demersal fish monitoring Fisheries monitoring No-take marine reserve monitoring Size structure Stereo BRUV Mesophotic temperate reef Ecology QH540-549.5 Illangarathne Arachchige Weerarathne Jacquomo Monk Neville Barrett Sample-size requirements for accurate length-frequency distributions of mesophotic reef fishes from baited remote underwater stereo video |
description |
Accurate descriptions of size structure are important for adaptive management of marine fish populations subject to anthropogenic and environmental pressures. This requires monitoring programs that can measure the length of enough individuals within each focal fish population. This study assessed the number of length measurements required to accurately describe the size structure in a range of common mesophotic demersal fish species observed from baited remote underwater stereo video (stereo BRUV) sampling programs. Here, we use a resampling approach from an empirical length dataset collected as a part of ongoing monitoring efforts to characterize mesophotic reef fish assemblages across the continental shelf of eastern and southern Tasmania, Australia. The results suggest that, on average, between 60 and 120 individuals length measurements are needed from at least 20 to 2000 independent deployments to be 95% confident that samples reflected the “real” size structure of fishes captured using stereo BRUVs. It is important to note that the “real” size-structure of each fish species here is unknown but was parameterized by pooling all measurements across the stereo BRUV dataset. It should also be noted that the exact number of length measurements differs across species, with some less abundant species requiring substantial sampling effort. This study helps to inform initial sampling requirements for length measurements for monitoring programs using stereo BRUVs. It provides a methodology that can aid researchers to further refine the overall sampling effort for future fisheries and marine park monitoring applications. |
format |
article |
author |
Illangarathne Arachchige Weerarathne Jacquomo Monk Neville Barrett |
author_facet |
Illangarathne Arachchige Weerarathne Jacquomo Monk Neville Barrett |
author_sort |
Illangarathne Arachchige Weerarathne |
title |
Sample-size requirements for accurate length-frequency distributions of mesophotic reef fishes from baited remote underwater stereo video |
title_short |
Sample-size requirements for accurate length-frequency distributions of mesophotic reef fishes from baited remote underwater stereo video |
title_full |
Sample-size requirements for accurate length-frequency distributions of mesophotic reef fishes from baited remote underwater stereo video |
title_fullStr |
Sample-size requirements for accurate length-frequency distributions of mesophotic reef fishes from baited remote underwater stereo video |
title_full_unstemmed |
Sample-size requirements for accurate length-frequency distributions of mesophotic reef fishes from baited remote underwater stereo video |
title_sort |
sample-size requirements for accurate length-frequency distributions of mesophotic reef fishes from baited remote underwater stereo video |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/5d6a3bb949694e3e98b9b0d4d642ef99 |
work_keys_str_mv |
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