Moving from multiple pass depletion to single pass timed electrofishing for fish community assessment in wadeable streams

Matson, Ronan; Delanty, Karen; Shephard, Samuel; Coghlan, Brian; Kelly, Fiona

doi:10.1016/j.fishres.2017.10.009

Cited by 6 publications

(7 citation statements)

References 34 publications

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“…Many previous studies did not collect size data or did not incorporate it explicitly into capture probability models. Consequently the effect of size was reflected in proxies such as life stage and DoY (Hedger et al ., ; Matson et al ., ; Millar et al ., ). In this study, where the effects of L F on p were investigated, DoY did not appear in the final model.…”

Section: Discussionmentioning

confidence: 99%

“…Many previous studies did not collect size data or did not incorporate it explicitly into capture probability models. Consequently the effect of size was reflected in proxies such as life stage and DoY (Hedger et al, 2018;Matson et al, 2018;Millar et al, 2016). 4.2 | Using uncalibrated single-pass data to detect trends in abundance Hanks et al (2018) demonstrated that the power to detect a declining trend in abundance was similar for single-pass and multi-pass electrofishing.…”

Section: Capture Probabilitymentioning

confidence: 99%

“…Multi‐pass electrofishing data can provide estimates of absolute abundance that have negligible bias and are relatively precise (Millar et al ., ; Rosenberger & Dunham, ), but these data are time‐consuming and costly to obtain which can result in poor spatial coverage (Foley et al ., ; Simonson & Lyons, ). There is, therefore, a desire from some fisheries managers to replace multi‐pass electrofishing with cheaper and more rapid single‐pass or timed (catch per unit effort; i.e ., the number of fish captured per unit time independent of area fished) electrofishing (Bateman et al ., ; Bertrand et al ., ; Hanks et al ., ; Matson et al ., ; Millar et al ., ).…”

Section: Introductionmentioning

confidence: 99%

“…agers to replace multi-pass electrofishing with cheaper and more rapid single-pass or timed (catch per unit effort; i.e., the number of fish captured per unit time independent of area fished) electrofishing (Bateman et al, 2005;Bertrand et al, 2006;Hanks et al, 2018;Matson et al, 2018;Millar et al, 2016).…”

mentioning

confidence: 99%

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These are not the trends you are looking for: poorly calibrated single‐pass electrofishing data can bias estimates of trends in fish abundance

Glover

Fryer

Soulsby

et al. 2019

Journal of Fish Biology

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There is increasing interest in the potential of single‐pass and timed electrofishing to assess status and trends in fish populations. However, where capture probability varies over time, there is a risk that uncalibrated electrofishing data could fail to detect, or provide biased estimates of trends. This study analysed a long‐term electrofishing dataset collected over 50 years in an intensively studied catchment where egg deposition and emigrant production declined by c. 82% and 35% over the same time. The electrofishing data were used to illustrate the effects of changing capture probability on estimated trends in juvenile Atlantic salmon Salmo salar abundance. Temporal variability in capture probability was modelled. Trends in abundance were then estimated from uncalibrated single‐pass electrofishing count data and compared with estimates from data calibrated for capture probability. The calibrated data revealed significant declines in S. salar fry (age 0) and parr (age ≥ 1) abundance. However, the trend estimates from the uncalibrated data were positively biased and not significant. Exploration of alternative (realistic) scenarios with different trends in true abundance and capture probability suggests that uncalibrated electrofishing data can provide very misleading estimates of trends. The problem is exacerbated in data where capture probability is low. It is recommended that single‐pass and timed electrofishing methods should not be used to assess trends in fish populations without regular (annual) calibration.

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Section: Discussionmentioning

confidence: 99%

“…Many previous studies did not collect size data or did not incorporate it explicitly into capture probability models. Consequently the effect of size was reflected in proxies such as life stage and DoY (Hedger et al, 2018;Matson et al, 2018;Millar et al, 2016). 4.2 | Using uncalibrated single-pass data to detect trends in abundance Hanks et al (2018) demonstrated that the power to detect a declining trend in abundance was similar for single-pass and multi-pass electrofishing.…”

Section: Capture Probabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

These are not the trends you are looking for: poorly calibrated single‐pass electrofishing data can bias estimates of trends in fish abundance

Glover

Fryer

Soulsby

et al. 2019

Journal of Fish Biology

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show abstract

“…Our method is compatible with survey procedures that capture live animals (e.g., electrofishing, traps, seine nets). We used a single‐pass backpack electrofishing technique for wadable streams without blocknets for riverscape‐scale studies (Foley et al., 2015; Matson et al., 2018). We sampled coastal cutthroat trout ( Oncorhynchus clarkii clarkii ) and larval coastal giant salamander ( Dicamptodon tenebrosus ) from 200 pool habitats along 9.6 km of the mainstem of Lookout Creek at the H.J.…”

Section: Introductionmentioning

confidence: 99%

A method to evaluate body length of live aquatic vertebrates using digital images

Arisméndi

Bury

Zatkos

et al. 2021

Ecology and Evolution

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The role of body size in shaping the form and function of animals has attracted the attention of scientists for decades (Calder, 1996).Larger body size provides crucial benefits including higher fitness and fecundity (Barneche et al., 2018), and competitive advantages within (Newman, 1956) and among species (Persson, 1985). A reduction in body size has been proposed as the third universal response of animals to the warming climate (Daufresne et al., 2009). Yet, empirical evidence to test this hypothesis at broader spatiotemporal contexts is lacking in freshwater ecosystems.Traditional methods of measuring fish and amphibians often involve use of anesthetics and prolonged handling (Bonar et al.

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Efficacy of depletion models for estimating abundance of endangered fishes in streams

et al. 2019

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Moving from multiple pass depletion to single pass timed electrofishing for fish community assessment in wadeable streams

Cited by 6 publications

References 34 publications

These are not the trends you are looking for: poorly calibrated single‐pass electrofishing data can bias estimates of trends in fish abundance

These are not the trends you are looking for: poorly calibrated single‐pass electrofishing data can bias estimates of trends in fish abundance

A method to evaluate body length of live aquatic vertebrates using digital images

Efficacy of depletion models for estimating abundance of endangered fishes in streams

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