2020
DOI: 10.15447/sfews.2021v19iss2art6
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Use of the SmeltCam as an Efficient Fish Sampling Alternative Within the San Francisco Estuary

Abstract: Resource managers often rely on long-term monitoring surveys to detect trends in biological data. However, no survey gear is 100% efficient, and many sources of bias can be responsible for detecting or not detecting biological trends. The SmeltCam is an imaging apparatus developed as a potential sampling alternative to long-term trawling gear surveys within the San Francisco Estuary, California, to reduce handling stress on sensitive species like the Delta Smelt (Hypomesus transpacificus). Although believed to… Show more

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Cited by 3 publications
(4 citation statements)
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“…Although standardized protocols were used to sample during this study, issues of catchability are potentially a significant source of bias in our and other fish community analyses. Recent efforts in the San Francisco Estuary have demonstrated significant differences among fish species in their catchability using common surveying gears, and these differences can also be detected using the same gear types for similar fish species depending on fish life stage and the habitat types sampled (Huntsman et al, 2022; Huntsman, Feyrer, & Young, 2021; Huntsman, Feyrer, Young, Hobbs, et al, 2021; Mitchell et al, 2017; Mitchell & Baxter, 2021). We used gill nets during our sampling, which target active fishes and potentially bias our sampling toward fishes with active life‐history traits (Feyrer & Healey, 2002).…”
Section: Discussionmentioning
confidence: 99%
“…Although standardized protocols were used to sample during this study, issues of catchability are potentially a significant source of bias in our and other fish community analyses. Recent efforts in the San Francisco Estuary have demonstrated significant differences among fish species in their catchability using common surveying gears, and these differences can also be detected using the same gear types for similar fish species depending on fish life stage and the habitat types sampled (Huntsman et al, 2022; Huntsman, Feyrer, & Young, 2021; Huntsman, Feyrer, Young, Hobbs, et al, 2021; Mitchell et al, 2017; Mitchell & Baxter, 2021). We used gill nets during our sampling, which target active fishes and potentially bias our sampling toward fishes with active life‐history traits (Feyrer & Healey, 2002).…”
Section: Discussionmentioning
confidence: 99%
“…First, our study did not account for how total fish biomass within the trawl affected gear efficiency in the cod end of trawls. Higher biomass in the trawl is positively correlated to gear efficiency because of the reduction in mesh openings (usually toward the cod end), which prevents smaller fishes from passing through the net (Mitchell et al 2017;Peterson and Barajas 2018;Huntsman et al 2021b). This may explain some of the variability in relative catchability observed for some fish species captured by similarly operated gears (e.g., small Striped Bass between the FMWT and BSMT).…”
Section: Discussionmentioning
confidence: 99%
“…A substantial amount of work has been done to account for observation error from differences in catchability and to provide measures of uncertainty (Walsh 1997;Royle 2004;MacKenzie and Royle 2005;Kéry and Royle 2016). Yet, work to estimate catchability in the estuary to date has either included a select few species (Perry et al 2016;Mitchell et al 2017;Mitchell et al 2019;Huntsman et al 2021aHuntsman et al , 2021b or focused on occupancy rather than abundance (Mahardja et al 2017;Peterson and Barajas 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Complementary approaches like eDNA could supplement and support this gear-based data. For listed species like delta smelt, regulatory limits on incidental take associated with gear-based monitoring could be circumvented with non-invasive approaches like eDNA detection (Holmes et al, 2024) or underwater video imaging (Huntsman et al, 2021). With the decline in the delta smelt population, the ability to detect their presence by gear-based monitoring has become increasingly difficult, limiting managers' ability to evaluate the effectiveness of actions targeting delta smelt recovery, having a comprehensive understanding of distribution patterns, and subsequently conducting targeted sampling in regions where smelt are present.…”
mentioning
confidence: 99%