An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model
Abstract Background Over the past two decades, various species of forage fish have been successfully implanted with miniaturized acoustic transmitters and subsequently monitored using stationary acoustic receivers. When acoustic receivers are configured in an array, information related to fish direc...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-02-01
|
Series: | Movement Ecology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40462-021-00241-1 |
id |
doaj-7fe69ae7439a40e88acd8be9835d854b |
---|---|
record_format |
Article |
spelling |
doaj-7fe69ae7439a40e88acd8be9835d854b2021-03-11T12:45:06ZengBMCMovement Ecology2051-39332021-02-019111310.1186/s40462-021-00241-1An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture modelMary A. Bishop0Jordan W. Bernard1Prince William Sound Science CenterPrince William Sound Science CenterAbstract Background Over the past two decades, various species of forage fish have been successfully implanted with miniaturized acoustic transmitters and subsequently monitored using stationary acoustic receivers. When acoustic receivers are configured in an array, information related to fish direction can potentially be determined, depending upon the number and relative orientation of the acoustic receivers. However, it can be difficult to incorporate directional information into frequentist mark-recapture methods. Here we show how an empirical Bayesian approach can be used to develop a model that incorporates directional movement information into the Arnason-Schwarz modeling framework to describe survival and migration patterns of a Pacific herring (Clupea pallasii) population in coastal Alaska, USA. Methods We acoustic-tagged 326 adult Pacific herring during April 2017 and 2018 while on their spawning grounds in Prince William Sound Alaska, USA. To monitor their movements, stationary acoustic receivers were deployed at strategic locations throughout the Sound. Receivers located at the major entrances to the Gulf of Alaska were arranged in parallel arrays to determine the directional movements of the fish. Informative priors were used to incorporate the directional information recorded at the entrance arrays into the model. Results A seasonal migratory pattern was found at one of Prince William Sound’s major entrances to the Gulf of Alaska. At this entrance, fish tended to enter the Gulf of Alaska during spring and summer after spawning and return to Prince William Sound during the fall and winter. Fish mortality was higher during spring and summer than fall and winter in both Prince William Sound and the Gulf of Alaska. Conclusions An empirical Bayesian modeling approach can be used to extend the Arnason-Schwarz modeling framework to incorporate directional information from acoustic arrays to estimate survival and characterize the timing and direction of migratory movements of forage fish.https://doi.org/10.1186/s40462-021-00241-1Arnason-SchwarzMark-recaptureCormack-Jolly-SeberBayesianAcoustic telemetryPartial migration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mary A. Bishop Jordan W. Bernard |
spellingShingle |
Mary A. Bishop Jordan W. Bernard An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model Movement Ecology Arnason-Schwarz Mark-recapture Cormack-Jolly-Seber Bayesian Acoustic telemetry Partial migration |
author_facet |
Mary A. Bishop Jordan W. Bernard |
author_sort |
Mary A. Bishop |
title |
An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model |
title_short |
An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model |
title_full |
An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model |
title_fullStr |
An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model |
title_full_unstemmed |
An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model |
title_sort |
empirical bayesian approach to incorporate directional movement information from a forage fish into the arnason-schwarz mark-recapture model |
publisher |
BMC |
series |
Movement Ecology |
issn |
2051-3933 |
publishDate |
2021-02-01 |
description |
Abstract Background Over the past two decades, various species of forage fish have been successfully implanted with miniaturized acoustic transmitters and subsequently monitored using stationary acoustic receivers. When acoustic receivers are configured in an array, information related to fish direction can potentially be determined, depending upon the number and relative orientation of the acoustic receivers. However, it can be difficult to incorporate directional information into frequentist mark-recapture methods. Here we show how an empirical Bayesian approach can be used to develop a model that incorporates directional movement information into the Arnason-Schwarz modeling framework to describe survival and migration patterns of a Pacific herring (Clupea pallasii) population in coastal Alaska, USA. Methods We acoustic-tagged 326 adult Pacific herring during April 2017 and 2018 while on their spawning grounds in Prince William Sound Alaska, USA. To monitor their movements, stationary acoustic receivers were deployed at strategic locations throughout the Sound. Receivers located at the major entrances to the Gulf of Alaska were arranged in parallel arrays to determine the directional movements of the fish. Informative priors were used to incorporate the directional information recorded at the entrance arrays into the model. Results A seasonal migratory pattern was found at one of Prince William Sound’s major entrances to the Gulf of Alaska. At this entrance, fish tended to enter the Gulf of Alaska during spring and summer after spawning and return to Prince William Sound during the fall and winter. Fish mortality was higher during spring and summer than fall and winter in both Prince William Sound and the Gulf of Alaska. Conclusions An empirical Bayesian modeling approach can be used to extend the Arnason-Schwarz modeling framework to incorporate directional information from acoustic arrays to estimate survival and characterize the timing and direction of migratory movements of forage fish. |
topic |
Arnason-Schwarz Mark-recapture Cormack-Jolly-Seber Bayesian Acoustic telemetry Partial migration |
url |
https://doi.org/10.1186/s40462-021-00241-1 |
work_keys_str_mv |
AT maryabishop anempiricalbayesianapproachtoincorporatedirectionalmovementinformationfromaforagefishintothearnasonschwarzmarkrecapturemodel AT jordanwbernard anempiricalbayesianapproachtoincorporatedirectionalmovementinformationfromaforagefishintothearnasonschwarzmarkrecapturemodel AT maryabishop empiricalbayesianapproachtoincorporatedirectionalmovementinformationfromaforagefishintothearnasonschwarzmarkrecapturemodel AT jordanwbernard empiricalbayesianapproachtoincorporatedirectionalmovementinformationfromaforagefishintothearnasonschwarzmarkrecapturemodel |
_version_ |
1724224046396080128 |