Assessing the performance of a cost-effective video lander for estimating relative abundance and diversity of nearshore fish assemblages

Watson, Jessica; Huntington, Brittany

doi:10.1016/j.jembe.2016.07.007

Cited by 11 publications

(10 citation statements)

References 25 publications

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“…; Watson et al. ), although this is not universal (Watson and Huntington ). Bait may attract individuals closer to the camera than they would otherwise get, allowing for accurate identification and counting even when lower‐resolution video is used.…”

Section: Discussionmentioning

confidence: 99%

“…The use of a baited survey may partly negate the benefits of using a higher-resolution camera. Many reef-fish taxa, including predatory and scavenging species, have been observed in greater numbers at baited stations than at unbaited stations Harvey et al 2007;Watson et al 2010), although this is not universal (Watson and Huntington 2016). Bait may attract individuals closer to the camera than they would otherwise get, allowing for accurate identification and counting even when lower-resolution video is used.…”

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confidence: 99%

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Benthic Habitats, as Derived from Classification of Side‐Scan‐Sonar Mapping Data, Are Important Determinants of Reef‐Fish Assemblage Structure in the Eastern Gulf of Mexico

et al. 2020

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Increasingly restrictive management regulations have greatly reduced the utility of fishery‐dependent data for characterizing temporal changes in the abundance of managed fish populations, so fishery‐independent data are becoming more important for the accurate assessment of stock status. A notable downside to fishery‐independent data is the high cost of conducting surveys, and efforts to maximize survey efficiency are critical given ongoing reductions in agency funding. We conducted a pilot study to explore the utility of classifying side‐scan‐sonar mapping data to provide a practical a priori characterization of reef habitat in the eastern Gulf of Mexico. An analysis of side‐scan‐sonar mapping data identified five distinct reef habitat types (low‐relief hard bottom, mixed hard bottom, fragmented hard bottom, ledges, and potholes) that were subsequently sampled with stereo baited remote underwater video (S‐BRUV) arrays and trap‐mounted GoPro cameras. The permutational analysis of variance indicated that the assemblage structure of reef fish differed significantly (P < 0.01) among all of the pairs of habitats except ledges and fragmented hard bottom; assemblage structure did not differ among cameras (P = 0.45). Overall species richness and diversity were significantly higher in the habitats with greater vertical relief, as were the abundances of several economically and ecologically important reef fishes, although many taxa were observed across all of the habitat types. Benthic habitats that are identified from side‐scan‐sonar mapping data are important determinants of reef‐fish assemblage structure and may prove to be useful as a stratification scheme for reef‐fish surveys, although additional research is necessary to explore the transferability of these results to the rest of the eastern Gulf of Mexico.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Benthic Habitats, as Derived from Classification of Side‐Scan‐Sonar Mapping Data, Are Important Determinants of Reef‐Fish Assemblage Structure in the Eastern Gulf of Mexico

et al. 2020

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“…For instance, the "STAVIRO" (rotating video system), described by Pelletier et al [26], for use on hard-and soft-substrate habitats successfully sampled 70% of the stations during a pilot study and reached 81% validation in a subsequent studies. More recently, the "compact video lander" developed by Watson and Huntington [45] was used on rocky reefs, and successfully sampled 70% of the stations. When deploying video systems directly from a boat, one of the main causes of nonvalidation is an inappropriate orientation of the camera towards the seabed.…”

Section: Fieldwork Implementation and Costsmentioning

confidence: 99%

Nondestructive Monitoring of Soft Bottom Fish and Habitats Using a Standardized, Remote and Unbaited 360° Video Sampling Method

Mallet

Olivry

Ighiouer

et al. 2021

Fishes

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Lagoon soft-bottoms are key habitats within coral reef seascapes. Coral reef fish use these habitats as nurseries, feeding grounds and transit areas. At present, most soft-bottom sampling methods are destructive (trawling, longlining, hook and line). We developed a remote, unbaited 360° video sampling method (RUV360) to monitor fish species assemblages in soft bottoms. A low-cost, high-definition camera enclosed in a waterproof housing and fixed on a tripod was set on the sea floor in New Caledonia from a boat. Then, 534 videos were recorded to assess the efficiency of the RUV360. The technique was successful in sampling bare soft-bottoms, seagrass beds, macroalgae meadows and mixed soft-bottoms. It is easy to use and particularly efficient, i.e., 88% of the stations were sampled successfully. We observed 10,007 fish belonging to 172 species, including 45 species targeted by fishermen in New Caledonia, as well as many key species. The results are consistent with the known characteristics of the lagoon soft bottom fish assemblages of New Caledonia. We provide future users with general recommendations and reference plots to estimate the proportion of the theoretical total species richness sampled, according to the number of stations or the duration of the footage.

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“…Optical technologies are utilized worldwide to survey marine organisms, providing versatile, non-destructive tools to monitor both benthic and pelagic species 27 – 29 . In particular, baited remote underwater video (BRUV) surveys have become increasingly popular as cost-effective and relatively simple survey methods, with high accessibility to users as many BRUVs can be readily assembled with inexpensive components 30 , 31 . BRUVs have produced results comparable to some traditional fishing gear based survey methods, including longline surveys sampling relative shark abundances 32 , 33 .…”

Section: Introductionmentioning

confidence: 99%

First estimates of Greenland shark (Somniosus microcephalus) local abundances in Arctic waters

Devine

Wheeland

Fisher

2018

Sci Rep

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Baited remote underwater video cameras were deployed in the Eastern Canadian Arctic, for the purpose of estimating local densities of the long-lived Greenland shark within five deep-water, data-poor regions of interest for fisheries development and marine conservation in Nunavut, Canada. A total of 31 camera deployments occurred between July-September in 2015 and 2016 during joint exploratory fishing and scientific cruises. Greenland sharks appeared at 80% of deployments. A total of 142 individuals were identified and no individuals were observed in more than one deployment. Estimates of Greenland shark abundance and biomass were calculated from averaged times of first arrival, video-derived swimming speed and length data, and local current speed estimates. Density estimates varied 1–15 fold among regions; being highest in warmer (>0 °C), deeper areas and lowest in shallow, sub-zero temperature regions. These baited camera results illustrate the ubiquity of this elusive species and suggest that Nunavut’s Lancaster Sound eco-zone may be of particular importance for Greenland shark, a potentially vulnerable Arctic species.

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Assessing the performance of a cost-effective video lander for estimating relative abundance and diversity of nearshore fish assemblages

Cited by 11 publications

References 25 publications

Benthic Habitats, as Derived from Classification of Side‐Scan‐Sonar Mapping Data, Are Important Determinants of Reef‐Fish Assemblage Structure in the Eastern Gulf of Mexico

Benthic Habitats, as Derived from Classification of Side‐Scan‐Sonar Mapping Data, Are Important Determinants of Reef‐Fish Assemblage Structure in the Eastern Gulf of Mexico

Nondestructive Monitoring of Soft Bottom Fish and Habitats Using a Standardized, Remote and Unbaited 360° Video Sampling Method

First estimates of Greenland shark (Somniosus microcephalus) local abundances in Arctic waters

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