Optimisation of baited remote underwater video sampling designs for estuarine fish assemblages

Gladstone, W; Lindfield, S; Coleman, M; Kelaher, B

Optimisation of baited remote underwater video sampling designs for estuarine fish assemblages

Gladstone, W

Lindfield, S Coleman, M Kelaher, B

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Publication Type:: Journal Article
Citation:: Journal of Experimental Marine Biology and Ecology, 2012, 429 pp. 28 - 35
Issue Date:: 2012-11-01

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Field	Value	Language
dc.contributor.author	Gladstone, W https://orcid.org/0000-0003-4517-4605	en_US
dc.contributor.author	Lindfield, S	en_US
dc.contributor.author	Coleman, M	en_US
dc.contributor.author	Kelaher, B https://orcid.org/0000-0002-7505-4412	en_US
dc.date.issued	2012-11-01	en_US
dc.identifier.citation	Journal of Experimental Marine Biology and Ecology, 2012, 429 pp. 28 - 35	en_US
dc.identifier.issn	0022-0981	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32395
dc.description.abstract	Baited remote underwater video stations (BRUVS) are used for monitoring fish assemblages and assessing management effectiveness in reef environments but are infrequently used in estuaries. A review of the BRUVS literature found that most adopted sampling designs from other studies were rarely designed from pilot studies. This potentially compromises their value for monitoring natural and anthropogenic variation. The aims of this study were: (i) to assess the suitability of BRUVS for sampling fishes in estuarine habitats (seagrass beds and unvegetated sediments) and (ii) to develop an optimal and cost effective sampling methodology for each habitat. Fishes in both habitats were sampled independently using BRUVS with soak times of 30, 60, 90. min (n=4). Thirty five species of fishes were recorded including 18 species of economic importance. Mean number of species, mean total Max N and mean Max N of species did not differ among soak times. Precision was generally greater in seagrass and in both habitats it improved with increasing soak time. Bootstrapping revealed that greater improvements in precision occurred from increasing soak time rather than increasing replication. A sampling design with n=5 replicates of 90. min soak time was optimal for most variables. This sampling effort is greater than many current applications of BRUVS. The results highlight the importance of pilot studies to optimise sampling methods and develop cost effective and statistically-robust monitoring programs. © 2012 Elsevier B.V.	en_US
dc.relation.ispartof	Journal of Experimental Marine Biology and Ecology	en_US
dc.relation.isbasedon	10.1016/j.jembe.2012.06.013	en_US
dc.subject.classification	Marine Biology & Hydrobiology	en_US
dc.title	Optimisation of baited remote underwater video sampling designs for estuarine fish assemblages	en_US
dc.type	Journal Article
utslib.citation.volume	429	en_US
utslib.for	050206 Environmental Monitoring	en_US
utslib.for	05 Environmental Sciences	en_US
utslib.for	06 Biological Sciences	en_US
utslib.for	07 Agricultural and Veterinary Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of the Environment
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	429	en_US

Abstract:

Baited remote underwater video stations (BRUVS) are used for monitoring fish assemblages and assessing management effectiveness in reef environments but are infrequently used in estuaries. A review of the BRUVS literature found that most adopted sampling designs from other studies were rarely designed from pilot studies. This potentially compromises their value for monitoring natural and anthropogenic variation. The aims of this study were: (i) to assess the suitability of BRUVS for sampling fishes in estuarine habitats (seagrass beds and unvegetated sediments) and (ii) to develop an optimal and cost effective sampling methodology for each habitat. Fishes in both habitats were sampled independently using BRUVS with soak times of 30, 60, 90. min (n=4). Thirty five species of fishes were recorded including 18 species of economic importance. Mean number of species, mean total Max N and mean Max N of species did not differ among soak times. Precision was generally greater in seagrass and in both habitats it improved with increasing soak time. Bootstrapping revealed that greater improvements in precision occurred from increasing soak time rather than increasing replication. A sampling design with n=5 replicates of 90. min soak time was optimal for most variables. This sampling effort is greater than many current applications of BRUVS. The results highlight the importance of pilot studies to optimise sampling methods and develop cost effective and statistically-robust monitoring programs. © 2012 Elsevier B.V.

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http://hdl.handle.net/10453/32395