Sources of bias in the RFID tag-recapture data used in the stock assessment of North East Atlantic Mackerel

Northeast Atlantic Mackerel (Scomber scombrus) is an immensely valuable fish stock for Norway and several other nations. The dynamic stock is spread throughout many nations, making the stock assessment an effort of large international cooperations. Many nations cooperating means that there will be m...

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Bibliographic Details
Main Author: Hjartåker, Inger Danielle
Format: Master Thesis
Language:English
Published: The University of Bergen 2017
Subjects:
Online Access:https://hdl.handle.net/1956/16317
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author Hjartåker, Inger Danielle
author_facet Hjartåker, Inger Danielle
author_sort Hjartåker, Inger Danielle
collection University of Bergen: Bergen Open Research Archive (BORA-UiB)
description Northeast Atlantic Mackerel (Scomber scombrus) is an immensely valuable fish stock for Norway and several other nations. The dynamic stock is spread throughout many nations, making the stock assessment an effort of large international cooperations. Many nations cooperating means that there will be more room for error in the estimate. IMR has made an admirable effort in assessing the mackerel stock using steel tags for over 40 years (1969 2010), with manual processes of recapturing fish from conveyor belts with metal detectors during processing at fish factories. Technological changes with the introduction of RFID tag recapture technology in 2011, resulted in more automatic processes, more effective data handling and a much larger proportion of the catch scanned. With mackerel being the important resource that it is, errors and biases in the stock assessment could have large implications. It is therefore essential to detect the possible sources of errors. This thesis uses data gained from RFID-tags from various nations and factories, as well as data from the old steel tag series to assess the possible sources of biases in the tag-recapture time series as input to the current assessment model. One source of bias is related to the use of age length key (ALK) at release to estimate age at recapture in the RFID data, compared with actual age reading from otoliths of recaptured fish in the old steel tag time series. The results showed that the estimated age from ALK is slightly higher than the actual age reading of the mackerel per length group, suggesting a bias. Tagging mortality due to crowding, waves and presence of birds was evaluated so see if it affected the stock estimate. In general there was no effect of tagging mortality. Spatial factors such as region, country and factory were also compared to each other to see if stock estimates of mackerel varied between them. In general region provided similar estimates, but estimates varied from each other when going into country and factory level. Norwegian factory ...
format Master Thesis
genre North East Atlantic
Northeast Atlantic
genre_facet North East Atlantic
Northeast Atlantic
geographic Norway
geographic_facet Norway
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institution Open Polar
language English
op_collection_id ftunivbergen
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op_rights Copyright the Author. All rights reserved
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publisher The University of Bergen
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spelling ftunivbergen:oai:bora.uib.no:1956/16317 2025-01-16T23:47:42+00:00 Sources of bias in the RFID tag-recapture data used in the stock assessment of North East Atlantic Mackerel Hjartåker, Inger Danielle 2017-06-27T22:00:03Z application/pdf https://hdl.handle.net/1956/16317 eng eng The University of Bergen https://hdl.handle.net/1956/16317 Copyright the Author. All rights reserved Makreller Radiofrekvensidentifikasjon Evaluering Fiskebestander https://data.ub.uio.no/realfagstermer/c002127 https://data.ub.uio.no/realfagstermer/c001214 https://data.ub.uio.no/realfagstermer/c004185 https://data.ub.uio.no/realfagstermer/c013059 751999 Master thesis 2017 ftunivbergen 2023-03-14T17:39:39Z Northeast Atlantic Mackerel (Scomber scombrus) is an immensely valuable fish stock for Norway and several other nations. The dynamic stock is spread throughout many nations, making the stock assessment an effort of large international cooperations. Many nations cooperating means that there will be more room for error in the estimate. IMR has made an admirable effort in assessing the mackerel stock using steel tags for over 40 years (1969 2010), with manual processes of recapturing fish from conveyor belts with metal detectors during processing at fish factories. Technological changes with the introduction of RFID tag recapture technology in 2011, resulted in more automatic processes, more effective data handling and a much larger proportion of the catch scanned. With mackerel being the important resource that it is, errors and biases in the stock assessment could have large implications. It is therefore essential to detect the possible sources of errors. This thesis uses data gained from RFID-tags from various nations and factories, as well as data from the old steel tag series to assess the possible sources of biases in the tag-recapture time series as input to the current assessment model. One source of bias is related to the use of age length key (ALK) at release to estimate age at recapture in the RFID data, compared with actual age reading from otoliths of recaptured fish in the old steel tag time series. The results showed that the estimated age from ALK is slightly higher than the actual age reading of the mackerel per length group, suggesting a bias. Tagging mortality due to crowding, waves and presence of birds was evaluated so see if it affected the stock estimate. In general there was no effect of tagging mortality. Spatial factors such as region, country and factory were also compared to each other to see if stock estimates of mackerel varied between them. In general region provided similar estimates, but estimates varied from each other when going into country and factory level. Norwegian factory ... Master Thesis North East Atlantic Northeast Atlantic University of Bergen: Bergen Open Research Archive (BORA-UiB) Norway
spellingShingle Makreller
Radiofrekvensidentifikasjon
Evaluering
Fiskebestander
https://data.ub.uio.no/realfagstermer/c002127
https://data.ub.uio.no/realfagstermer/c001214
https://data.ub.uio.no/realfagstermer/c004185
https://data.ub.uio.no/realfagstermer/c013059
751999
Hjartåker, Inger Danielle
Sources of bias in the RFID tag-recapture data used in the stock assessment of North East Atlantic Mackerel
title Sources of bias in the RFID tag-recapture data used in the stock assessment of North East Atlantic Mackerel
title_full Sources of bias in the RFID tag-recapture data used in the stock assessment of North East Atlantic Mackerel
title_fullStr Sources of bias in the RFID tag-recapture data used in the stock assessment of North East Atlantic Mackerel
title_full_unstemmed Sources of bias in the RFID tag-recapture data used in the stock assessment of North East Atlantic Mackerel
title_short Sources of bias in the RFID tag-recapture data used in the stock assessment of North East Atlantic Mackerel
title_sort sources of bias in the rfid tag-recapture data used in the stock assessment of north east atlantic mackerel
topic Makreller
Radiofrekvensidentifikasjon
Evaluering
Fiskebestander
https://data.ub.uio.no/realfagstermer/c002127
https://data.ub.uio.no/realfagstermer/c001214
https://data.ub.uio.no/realfagstermer/c004185
https://data.ub.uio.no/realfagstermer/c013059
751999
topic_facet Makreller
Radiofrekvensidentifikasjon
Evaluering
Fiskebestander
https://data.ub.uio.no/realfagstermer/c002127
https://data.ub.uio.no/realfagstermer/c001214
https://data.ub.uio.no/realfagstermer/c004185
https://data.ub.uio.no/realfagstermer/c013059
751999
url https://hdl.handle.net/1956/16317