Symposium Review: Using Electronic Tags to Estimate Vital Rates in Fishes

Runde, Brendan J.; Harris, Julianne E.; Buckel, Jeffrey A.

doi:10.1002/fsh.10077

Fisheries

2018

DOI: 10.1002/fsh.10077

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Symposium Review: Using Electronic Tags to Estimate Vital Rates in Fishes

Brendan J. Runde

Julianne E. Harris

Jeffrey A. Buckel

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2020

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Cited by 2 publications

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“…The incorporation of miniaturized sensors into tags enables scientists to collect a greater variety of information about tagged animals and offers flexibility in study design and objectives (Wilson et al 2015). For example, sensors for metrics such as temperature (Gorsky et al 2012), pH (Halfyard et al 2017), light (Seitz et al 2019), depth (Bohaboy et al 2020), and acceleration (Curtis et al 2015) can provide much insight into biology, movement, and survival (Runde et al 2018). However, the pace of these technological advances has often outstripped the development of methods for the analysis of the data they produce.…”

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Assigning Fates in Telemetry Studies Using Hidden Markov Models: an Application to Deepwater Groupers Released with Descender Devices

Runde

Michelot

Bacheler

et al. 2020

N American J Fish Manag

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Fate assignment is crucial to the results of survival studies, particularly those that utilize acoustic tagging. Most current methodologies are at least partially subjective; thus, having a means of objectively assigning fates would improve the precision, accuracy, and utility of such studies. We released 57 acoustically tagged fish belonging to six deepwater grouper species off North Carolina, USA, via surface release and recompressed release with descender devices. We applied a three-state hidden Markov model (HMM) in a novel way: to distinguish movement patterns between fish that were alive and fish that were dead (and might have been eaten by predators). We assigned fates using two approaches that differed in their reliance on HMMs. When HMMs were the predominant source of fate assignment, we estimated survival of 40 deepwater groupers released with descender devices at the continental shelf break (66-120-m depth) to be 0.46 (95% CI = 0.33-0.65). When a combination of HMMs and prior information was utilized, we estimated survival of the same 40 groupers to be 0.61 (95% CI = 0.47-0.80). Both estimates represented a substantial improvement over the survival of surface-released groupers (n = 9; survival~0.0). Furthermore, HMMs estimated zero survival for an additional five descended groupers at a wreck site in 240-m depth, although one analysis using prior information suggested that survival was possible in that depth. These estimates were aided by the objectivity of HMMs, and we recommend that future survival studies involving acoustic tagging employ similar methodologies. The improved survival of groupers after descending is an important finding for management, as this taxon contains several species of impaired stock status or fishery status.

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confidence: 99%

Assigning Fates in Telemetry Studies Using Hidden Markov Models: an Application to Deepwater Groupers Released with Descender Devices

Runde

Michelot

Bacheler

et al. 2020

N American J Fish Manag

Self Cite

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Estimating population abundance at a site in the open ocean: combining information from conventional and telemetry tags with application to gray triggerfish (Balistes capriscus)

Shertzer

Bacheler

Pine

et al. 2020

Can. J. Fish. Aquat. Sci.

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Estimates of animal abundance are widely used to support conservation and resource management. For populations in open systems, abundance estimates from tagging data can be highly uncertain or biased. Here, we develop a novel approach to estimate abundance of an open population by pairing two models, each utilizing distinct tagging data. Using data from telemetry tags, we infer movement rates to and from the study site with a Markovian model allowing for an environmental effect. Then, using data from conventional passive tags, we apply a Lincoln–Petersen abundance estimator modified to account for mortality and movement. After developing the model within a Bayesian framework, we demonstrate its application to data on gray triggerfish (Balistes capriscus) tagged in the Atlantic Ocean off North Carolina, USA. For this open population, we estimate site abundance to be ∼1000 fish (∼2000 fish·km–2) and additionally find evidence for an effect of hurricanes on movement. The general approach may be useful for fisheries, wildlife, and other ecological studies utilizing multiple tag types, particularly for estimating abundance of an open population.

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Symposium Review: Using Electronic Tags to Estimate Vital Rates in Fishes

Cited by 2 publications

References 23 publications

Assigning Fates in Telemetry Studies Using Hidden Markov Models: an Application to Deepwater Groupers Released with Descender Devices

Assigning Fates in Telemetry Studies Using Hidden Markov Models: an Application to Deepwater Groupers Released with Descender Devices

Estimating population abundance at a site in the open ocean: combining information from conventional and telemetry tags with application to gray triggerfish (Balistes capriscus)

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