Estimating efficiency of a scientific clam survey dredge: Strategies for an improved experimental approach

Abstract Objective Fishery stock surveys are used to estimate stock abundance and detect changes over time. The success of fishery-independent surveys can be enhanced by evaluating the capture efficiency of survey gear, which allows for absolute rather than relative estimates of stock abundance. Estimating capture efficiency empirically can be challenging, costly, and time consuming; however, methods to improve experimental success in real time would improve the efficacy and success of these experiments. We evaluated the catch efficiency of a new clam survey platform that was designed for scientific surveys using an experimental approach that provided more information with which to evaluate experimental success in real time at sea. Methods Dredge selectivity was evaluated by direct comparison to an established survey dredge that is used in the federal management of surfclam stocks, and capture efficiency was estimated from several depletion experiments. Results Although the density estimates that were produced by the two gears were similar, the size frequency of the catch differed significantly, with the smaller scientific dredge showing higher selectivity for smaller (<90 mm) and larger (>145 mm) surfclams. Dredge efficiency was estimated to be 0.65, consistent with the efficiency that is estimated for the survey dredge used in federal management. Conclusions These results will support the integration of data that are collected on this new survey platform with previously collected data sets and improve our ability to investigate regional patterns in population dynamics.

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Publication Details

Journal
North American Journal of Fisheries Management
Published
2025-08-20
DOI
https://doi.org/10.1093/najfmt/vqaf072
Citations
1
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
1.11

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article

Estimating efficiency of a scientific clam survey dredge: Strategies for an improved experimental approach

Sarah Borsetti, Daniel Hennen, Ailey Sheehan, Daphne Munroe et al.
1 citations
North American Journal of Fisheries Management
Marine and fisheries research
1.11
article

Estimating efficiency of a scientific clam survey dredge: Strategies for an improved experimental approach

Sarah Borsetti, Daniel Hennen, Ailey Sheehan, Daphne Munroe, Jason M. Morson, Sophia Piper
article en
1 citations

Abstract

Abstract Objective Fishery stock surveys are used to estimate stock abundance and detect changes over time. The success of fishery-independent surveys can be enhanced by evaluating the capture efficiency of survey gear, which allows for absolute rather than relative estimates of stock abundance. Estimating capture efficiency empirically can be challenging, costly, and time consuming; however, methods to improve experimental success in real time would improve the efficacy and success of these experiments. We evaluated the catch efficiency of a new clam survey platform that was designed for scientific surveys using an experimental approach that provided more information with which to evaluate experimental success in real time at sea. Methods Dredge selectivity was evaluated by direct comparison to an established survey dredge that is used in the federal management of surfclam stocks, and capture efficiency was estimated from several depletion experiments. Results Although the density estimates that were produced by the two gears were similar, the size frequency of the catch differed significantly, with the smaller scientific dredge showing higher selectivity for smaller (<90 mm) and larger (>145 mm) surfclams. Dredge efficiency was estimated to be 0.65, consistent with the efficiency that is estimated for the survey dredge used in federal management. Conclusions These results will support the integration of data that are collected on this new survey platform with previously collected data sets and improve our ability to investigate regional patterns in population dynamics.

North American Journal of Fisheries ManagementVol. 45(5)
National Oceanic and Atmospheric Administration (US), Shell (Norway) (NO), NOAA National Marine Fisheries Service Northeast Fisheries Science Center (US)
New Jersey Department of Environmental Protection
Openalex Percentile: Top 21%
Marine and fisheries research
1.11
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