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Look but don't touch: minimally invasive trawl survey technology :a dissertation in Marine Science and Technology–Living Marine Resources Science and Management
 

Look but don't touch: minimally invasive trawl survey technology :a dissertation in Marine Science and Technology–Living Marine Resources Science and Management

Doctor of Philosophy (PHD), University of Massachusetts Dartmouth
2025
:
https://doi.org/10.62791/20500
Fisheries-independent trawl surveys have faced criticism for violating key assumptions of stratified random sampling, employing short tows which reduce capture efficiency, and causing mortality of the catch. These limitations are particularly consequential for the Western Gulf of Maine stock of Atlantic cod (Gadus morhua), a species of cultural significance, economic importance, and regulatory complexity due to its depleted status and classification as a choke species. In response to these challenges, the School for Marine Science and Technology (SMAST) developed a video trawl survey, which employs cameras mounted in the open cod end of a trawl to identify and enumerate groundfish. Initial pilot studies began in 2016, followed by the implementation of large-scale, semi-annual surveys of the Western Gulf of Maine in 2020.Accurate estimates of local density from the video trawl survey required estimates of catchability, capture efficiency and fish length. This project aimed to address these requirements through three experiments and then evaluate sampling methodology in a fourth experiment. First, a passive integrated transponder (PIT) tag detection system was developed, tested, and installed in the codend of the net. Second, a mark-recapture experiment to estimate the efficiency and catchability of Atlantic cod was conducted using this system. Third, the accuracy of length measurements derived from an off-the shelf stereoscopic camera mounted within the trawl was assessed. Finally, optical data from the survey were used to evaluate the effects of sampling design, tow duration, and sampling intensity on the variance of population estimates through a novel analytical approach. The custom-designed PIT tag detection system achieved an efficiency of 79%,with detection rates influenced by tag orientation and group size. A Petersen mark recapture model, based on 1,094 tagged fish and six recaptures, accounted for both discard mortality and reader efficiency, yielding an estimated door spread capture efficiency of 12% and a catchability coefficient of 0.0024 per hour of towing. The off the-shelf stereoscopic camera produced inaccurate length measurements. However, these findings helped inform the design of a custom imaging system to include a global shutter, rapid integration time, wider field of view, and larger sensor. Analysis of optical data indicated that stratified random sampling produced more precise biomass estimates than simple random sampling. Additionally, CPUE mean and variance increased with shorter tow durations. A 30-minute tow duration minimized within-tow variability and yielded the most precise abundance estimates, although this analysis lacked factors such as fish size and logistical constraints. Collectively, this research advances fisheries-independent survey methodology by addressing key limitations of new approaches. Although further work is needed to refine the 12% efficiency estimate, it would conservatively result in a 257% increase over previous video trawl survey cod biomasses when using the upper 95% confidence limit. These results highlight concerns in the assessment of Western Gulf of Maine cod, producing an estimate of SSB that is 160% of the stock assessment projection, for only 13% of the stock area. This SMAST video trawl survey technology represents an improvement upon traditional survey techniques and can provide model independent estimates of biomass to enhance the assessment of Western Gulf of Maine cod.

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Calabrese N.M. SMAST PhD Dissertation 20254.74 MB
Open Access
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