Estimating survival from joint analysis of resighting and radiotelemetry capture-recapture data for wild animals

Brownie, Cavell; Pollock, Kenneth H.; Bennetts, Robert E.

doi:10.1198/10857110152946839

Cited by 21 publications

(33 citation statements)

References 9 publications

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“…Coggins et al (2006) used catches of marked and unmarked fish in a fisheries stock assessment model to estimate capture probabilities, survival, abundance, and recruitment. Likewise, previous work from terrestrial systems has shown that combining mark-recapture techniques with telemetry resulted in improved models that allowed estimation of additional parameters and assessment of assumptions (Barker 1997;Powell et al 2000;Nasution et al 2001 when combining a Cormack-Jolly-Seber mark-resight model with Kaplan-Meier radio telemetry analyses. Our combined model provided the same benefits in a fisheries context, but has gone further by being able to partition total mortality into F and M with good precision.…”

Section: Discussionmentioning

confidence: 94%

“…Combined analyses were first developed for terrestrial animals to estimate total mortality (Catchpole et al 1998;Powell et al 2000;Nasution et al 2001), but recent simulations have shown that combining the two techniques may be useful in aquatic systems as well (Pollock et al 2004). In theory, the combined tag return and telemetry approach improves estimates of F and M compared with either method independently by drawing on the strengths of each (Pollock et al 2004).…”

Section: Introductionmentioning

confidence: 98%

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A combined telemetry – tag return approach to estimate fishing and natural mortality rates of an estuarine fish

Bacheler

Buckel

Hightower

et al. 2009

Can. J. Fish. Aquat. Sci.

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A joint analysis of tag return and telemetry data should improve estimates of mortality rates for exploited fishes; however, the combined approach has thus far only been tested in terrestrial systems. We tagged subadult red drum (Sciaenops ocellatus) with conventional tags and ultrasonic transmitters over 3 years in coastal North Carolina, USA, to test the efficacy of the combined telemetry -tag return approach. There was a strong seasonal pattern to monthly fishing mortality rate (F) estimates from both conventional and telemetry tags; highest F values occurred in fall months and lowest levels occurred during winter. Although monthly F values were similar in pattern and magnitude between conventional tagging and telemetry, information on F in the combined model came primarily from conventional tags. The estimated natural mortality rate (M) in the combined model was low (estimated annual rate ± standard error: 0.04 ± 0.04) and was based primarily upon the telemetry approach. Using high-reward tagging, we estimated different tag reporting rates for state agency and university tagging programs. The combined telemetry -tag return approach can be an effective approach for estimating F and M as long as several key assumptions of the model are met.Résumé : Une analyse combinée du retour des étiquettes et des données de télémétrie devrait améliorer les estimations des taux de mortalité des poissons exploités; cependant, une telle approche conjointe n'a à ce jour été testée que dans les systèmes terrestres. Nous avons marqué des tambours rouges, Sciaenops ocellatus, avec des étiquettes ordinaires et des ém-etteurs à ultrasons sur une période de trois années sur la côte de la Caroline du Nord, É .-U., pour évaluer l'efficacité de l'utilisation combinée du retour des étiquettes et de la télémétrie. Il existe un fort patron saisonnier dans les estimations du taux mensuel de mortalité due à la pêche (F) faites à partir des étiquettes ordinaires et celles de télémétrie; les valeurs maximales de F s'observent à l'automne et les plus faibles en hiver. Bien que les patrons et l'importance des valeurs mensuelles de F soient semblables à partir du marquage classique et de la télémétrie, l'information sur F dans le modèle combiné provient surtout des étiquettes ordinaires. Le taux estimé de mortalité naturelle (M) dans le modèle combiné est faible (taux annuel estimé ± erreur type : 0,04 ± 0,04) et il se base principalement sur les données de télémétrie. En utilisant un programme de marquage avec de fortes récompenses, nous avons estimé des taux de retour des étiquettes différents pour les programmes menés par l'organisme de l'état et par l'université. L'approche qui combine le retour des étiquettes et la télémétrie peut être efficace pour estimer F et M à la condition que plusieurs des présuppositions principales du modèle soient respectées.[Traduit par la Rédaction]

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Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 98%

A combined telemetry – tag return approach to estimate fishing and natural mortality rates of an estuarine fish

Bacheler

Buckel

Hightower

et al. 2009

Can. J. Fish. Aquat. Sci.

Self Cite

View full text Add to dashboard Cite

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“…Using joint telemetry/CMR data has been shown elsewhere to increase precision of mortality rates (Bacheler et al 2009;Nasution et al 2001;Pollock, Jiang & Hightower 2004) and population size (Ivan, White & Shenk 2013). In our case, the size of credible intervals in model T was not necessarily lower than those in models P or C. This is likely because model T encapsulates a greater degree of uncertainty due to migration.…”

Section: Discussionmentioning

confidence: 54%

“…Capture-mark-recapture models using multiple data sources, such as the joint analysis of telemetry and tag recovery data (Kendall et al 2013;Nasution et al 2001;Powell et al 2000), can result in more accurate assessments of movement and survival ( Nasution, et al 2001( Nasution, et al , 2004. Here, we propose an alternative state-space model for jointly analysing multiple data sources in a CMR study.…”

Section: Introductionmentioning

confidence: 99%

Estimating population size in the presence of temporary migration using a joint analysis of telemetry and capture–recapture data

et al. 2014

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Summary1. Temporary migration -where individuals can leave and re-enter a sampled population -is a feature of many capture-mark-recapture (CMR) studies of mobile populations which, if unaccounted for, can lead to biased estimates of population capture probabilities and consequently biased estimates of population abundance. 2. We present a method for incorporating radiotelemetry data within a CMR study to eliminate bias due to temporary migration using a Bayesian state-space model. 3. Our results indicate that using a relatively small number of telemetry tags, it is possible to greatly reduce bias in estimates of capture probabilities using telemetry data to model transition probabilities in and out of the sampling area. In a capture-recapture data set for trout Cod in the Murray river, Australia, accounting for temporary migration led to overall higher estimates of capture probabilities than models assuming permanent or zero migration. Also, individual heterogeneity in detectability can be managed through explicit modelling. We show how accounting for temporary migration when estimating capture probabilities can be used to estimate the abundance and size distribution of a population as though it were closed. 4. Our model provides a basis for more complex models that might integrate telemetry data into other CMR scenarios, thus allowing for greater precision in estimates of vital rates that might otherwise be biased by temporary migration. Our results highlight the importance of accounting for migration in survey design and parameter estimation, and the potential scope for supplementing large-scale CMR data sets with a subset of auxiliary data that provide information on processes that are hidden to primary sampling processes.

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“…Similar multidata source models have become popular in demographic studies (e.g., Barker ; Burnham ; Nasution et al . ; Schaub & Abadi ), but have not been as common in movement studies (but see Winship et al . ).…”

Section: Methodsmentioning

confidence: 99%

A functional model for characterizing long‐distance movement behaviour

et al. 2015

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1. Advancements in wildlife telemetry techniques have made it possible to collect large data sets of highly accurate animal locations at a fine temporal resolution. These data sets have prompted the development of a number of statistical methodologies for modelling animal movement. 2. Telemetry data sets are often collected for purposes other than fine-scale movement analysis. These data sets may differ substantially from those that are collected with technologies suitable for fine-scale movement modelling and may consist of locations that are irregular in time, are temporally coarse or have large measurement error. These data sets are time-consuming and costly to collect but may still provide valuable information about movement behaviour. 3. We developed a Bayesian movement model that accounts for error from multiple data sources as well as movement behaviour at different temporal scales. The Bayesian framework allows us to calculate derived quantities that describe temporally varying movement behaviour, such as residence time, speed and persistence in direction. The model is flexible, easy to implement and computationally efficient. 4. We apply this model to data from Colorado Canada lynx (Lynx canadensis) and use derived quantities to identify changes in movement behaviour.

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Estimating survival from joint analysis of resighting and radiotelemetry capture-recapture data for wild animals

Cited by 21 publications

References 9 publications

A combined telemetry – tag return approach to estimate fishing and natural mortality rates of an estuarine fish

A combined telemetry – tag return approach to estimate fishing and natural mortality rates of an estuarine fish

Estimating population size in the presence of temporary migration using a joint analysis of telemetry and capture–recapture data

A functional model for characterizing long‐distance movement behaviour

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