Geolocation of a demersal fish (Pacific cod) in a high-latitude island chain (Aleutian Islands, Alaska)

Abstract Background Fish geolocation methods are most effective when they are customized to account for species behavior and study area characteristics. Here, we provide an example of customizing a hidden Markov model (HMM) for reconstructing movement pathways of a high-latitude demersal fish specie...

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Published in:Animal Biotelemetry
Main Authors: Julie K. Nielsen, David R. Bryan, Kimberly M. Rand, Martin C. Arostegui, Camrin D. Braun, Benjamin Galuardi, Susanne F. McDermott
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2023
Subjects:
Online Access:https://doi.org/10.1186/s40317-023-00340-3
https://doaj.org/article/e7bc487276bc4442bd8655b422947288
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spelling ftdoajarticles:oai:doaj.org/article:e7bc487276bc4442bd8655b422947288 2023-08-27T04:12:33+02:00 Geolocation of a demersal fish (Pacific cod) in a high-latitude island chain (Aleutian Islands, Alaska) Julie K. Nielsen David R. Bryan Kimberly M. Rand Martin C. Arostegui Camrin D. Braun Benjamin Galuardi Susanne F. McDermott 2023-07-01T00:00:00Z https://doi.org/10.1186/s40317-023-00340-3 https://doaj.org/article/e7bc487276bc4442bd8655b422947288 EN eng BMC https://doi.org/10.1186/s40317-023-00340-3 https://doaj.org/toc/2050-3385 doi:10.1186/s40317-023-00340-3 2050-3385 https://doaj.org/article/e7bc487276bc4442bd8655b422947288 Animal Biotelemetry, Vol 11, Iss 1, Pp 1-22 (2023) Geolocation Hidden Markov model Fish migration Satellite tags Pop-up Satellite Archival Tags Viterbi algorithm Ecology QH540-549.5 Animal biochemistry QP501-801 article 2023 ftdoajarticles https://doi.org/10.1186/s40317-023-00340-3 2023-08-06T00:49:22Z Abstract Background Fish geolocation methods are most effective when they are customized to account for species behavior and study area characteristics. Here, we provide an example of customizing a hidden Markov model (HMM) for reconstructing movement pathways of a high-latitude demersal fish species in a remote island chain using Pop-up Satellite Archival Tag (PSAT) data. Adult Pacific cod were tagged with PSATs while occupying winter spawning grounds in the Aleutian Islands in February 2019. We adapted a demersal fish application of the HMM to (1) add light-based longitude to the data likelihood model, (2) account for possible off-bottom behavior of demersal fishes in the maximum daily depth likelihood, and (3) modify the model framework to accommodate convoluted island topography in the study area. A simulation study was conducted to explore the two primary modifications to the model framework, reflecting boundary for the movement kernel and the Viterbi method of pathway reconstruction, under known conditions. Results Geolocation was performed on satellite-transmitted and detailed archival data sets from 6 adult Pacific cod at liberty for 21–277 days. Migration from winter spawning to summer foraging areas (range 60–395 km) was detected for the 4 tagged fish that were at liberty for more than 90 days. Light-based longitude was the primary geolocation variable for detecting migrations with precision (root mean square error) estimates of 0.56 degrees during winter and 1.3 degrees during the summer. Simulation studies confirmed the effectiveness of model framework modifications and generated guidelines for use in specific applications. Conclusions This study demonstrates that post-spawning migrations of Pacific cod in the Aleutian Islands can be detected and characterized using PSAT data. Initial insights into migrations, summer foraging areas, and associated development of appropriate analysis tools will support future Pacific cod movement studies in the Aleutian Islands as well as other regions of Alaska. The ... Article in Journal/Newspaper Alaska Aleutian Islands Directory of Open Access Journals: DOAJ Articles Pacific Animal Biotelemetry 11 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Geolocation
Hidden Markov model
Fish migration
Satellite tags
Pop-up Satellite Archival Tags
Viterbi algorithm
Ecology
QH540-549.5
Animal biochemistry
QP501-801
spellingShingle Geolocation
Hidden Markov model
Fish migration
Satellite tags
Pop-up Satellite Archival Tags
Viterbi algorithm
Ecology
QH540-549.5
Animal biochemistry
QP501-801
Julie K. Nielsen
David R. Bryan
Kimberly M. Rand
Martin C. Arostegui
Camrin D. Braun
Benjamin Galuardi
Susanne F. McDermott
Geolocation of a demersal fish (Pacific cod) in a high-latitude island chain (Aleutian Islands, Alaska)
topic_facet Geolocation
Hidden Markov model
Fish migration
Satellite tags
Pop-up Satellite Archival Tags
Viterbi algorithm
Ecology
QH540-549.5
Animal biochemistry
QP501-801
description Abstract Background Fish geolocation methods are most effective when they are customized to account for species behavior and study area characteristics. Here, we provide an example of customizing a hidden Markov model (HMM) for reconstructing movement pathways of a high-latitude demersal fish species in a remote island chain using Pop-up Satellite Archival Tag (PSAT) data. Adult Pacific cod were tagged with PSATs while occupying winter spawning grounds in the Aleutian Islands in February 2019. We adapted a demersal fish application of the HMM to (1) add light-based longitude to the data likelihood model, (2) account for possible off-bottom behavior of demersal fishes in the maximum daily depth likelihood, and (3) modify the model framework to accommodate convoluted island topography in the study area. A simulation study was conducted to explore the two primary modifications to the model framework, reflecting boundary for the movement kernel and the Viterbi method of pathway reconstruction, under known conditions. Results Geolocation was performed on satellite-transmitted and detailed archival data sets from 6 adult Pacific cod at liberty for 21–277 days. Migration from winter spawning to summer foraging areas (range 60–395 km) was detected for the 4 tagged fish that were at liberty for more than 90 days. Light-based longitude was the primary geolocation variable for detecting migrations with precision (root mean square error) estimates of 0.56 degrees during winter and 1.3 degrees during the summer. Simulation studies confirmed the effectiveness of model framework modifications and generated guidelines for use in specific applications. Conclusions This study demonstrates that post-spawning migrations of Pacific cod in the Aleutian Islands can be detected and characterized using PSAT data. Initial insights into migrations, summer foraging areas, and associated development of appropriate analysis tools will support future Pacific cod movement studies in the Aleutian Islands as well as other regions of Alaska. The ...
format Article in Journal/Newspaper
author Julie K. Nielsen
David R. Bryan
Kimberly M. Rand
Martin C. Arostegui
Camrin D. Braun
Benjamin Galuardi
Susanne F. McDermott
author_facet Julie K. Nielsen
David R. Bryan
Kimberly M. Rand
Martin C. Arostegui
Camrin D. Braun
Benjamin Galuardi
Susanne F. McDermott
author_sort Julie K. Nielsen
title Geolocation of a demersal fish (Pacific cod) in a high-latitude island chain (Aleutian Islands, Alaska)
title_short Geolocation of a demersal fish (Pacific cod) in a high-latitude island chain (Aleutian Islands, Alaska)
title_full Geolocation of a demersal fish (Pacific cod) in a high-latitude island chain (Aleutian Islands, Alaska)
title_fullStr Geolocation of a demersal fish (Pacific cod) in a high-latitude island chain (Aleutian Islands, Alaska)
title_full_unstemmed Geolocation of a demersal fish (Pacific cod) in a high-latitude island chain (Aleutian Islands, Alaska)
title_sort geolocation of a demersal fish (pacific cod) in a high-latitude island chain (aleutian islands, alaska)
publisher BMC
publishDate 2023
url https://doi.org/10.1186/s40317-023-00340-3
https://doaj.org/article/e7bc487276bc4442bd8655b422947288
geographic Pacific
geographic_facet Pacific
genre Alaska
Aleutian Islands
genre_facet Alaska
Aleutian Islands
op_source Animal Biotelemetry, Vol 11, Iss 1, Pp 1-22 (2023)
op_relation https://doi.org/10.1186/s40317-023-00340-3
https://doaj.org/toc/2050-3385
doi:10.1186/s40317-023-00340-3
2050-3385
https://doaj.org/article/e7bc487276bc4442bd8655b422947288
op_doi https://doi.org/10.1186/s40317-023-00340-3
container_title Animal Biotelemetry
container_volume 11
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