Evaluation and use of a monitoring method to estimate Atlantic salmon spawning run
ARIS sonar and Timespace video cameras were used to estimate spawning run and migration pattern of Atlantic salmon in Máskejohka, a tributary belonging to the River Tana. Máskejohka has not been monitored before and needs more detailed information about the stock size and its migration pattern, afte...
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UiT Norges arktiske universitet
2021
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ftunivtroemsoe:oai:munin.uit.no:10037/21791 2023-05-15T15:28:03+02:00 Evaluation and use of a monitoring method to estimate Atlantic salmon spawning run Pedersen, Sonja Lydia Kimo 2021-06-16 https://hdl.handle.net/10037/21791 eng eng UiT Norges arktiske universitet UiT The Arctic University of Norway https://hdl.handle.net/10037/21791 openAccess Copyright 2021 The Author(s) 920 Fiskerifag VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 BIO-3950 Master thesis Mastergradsoppgave 2021 ftunivtroemsoe 2021-07-07T22:52:38Z ARIS sonar and Timespace video cameras were used to estimate spawning run and migration pattern of Atlantic salmon in Máskejohka, a tributary belonging to the River Tana. Máskejohka has not been monitored before and needs more detailed information about the stock size and its migration pattern, after several years with declining Atlantic salmon catch. Data for the first weeks of the migration period was hampered by an extreme spring flood, and the total sonar data coverage for the period (31.05.2020-15.09.2020) was 78%. Fish ≥ 45 cm were divided into the following length classes, based on measurements from the sonar data: 45-55 cm, 55-67 cm, 67-89 cm and > 89 cm. Only fish ≥ 45 cm was included, due to minimum Atlantic salmon size. Fish species were subjectively identified with sonar data based on size and behavior before confirming or refuting species with video recordings. Using video-identified species, the probability of a target being an Atlantic salmon was estimated by binomial regression using length as predictor. Estimation of total Atlantic salmon run was then completed using the regression model to estimate the proportion of Atlantic salmon among the targets observed on video. For the period with missing data, the potential run was estimated based on development from week to week from catch statistics from the previous years. Results from the sonar and video analyses were compared to catch statistics from Máskejohka to calculate the size of the spawning stock. The total number of fish registered by the sonar was 1810, 1270 upstream and 539 downstream. A total of 110 Atlantic salmon 75 grayling, 16 trout, 2 whitefish, 2 pike and one pink salmon during the period of 16 days (30.07.2020-14.08.2020) were observed on the video recordings. Grayling dominated the smallest size group between 45-55 cm, while the size group 55-67 cm was dominated by Atlantic salmon. Trout was present in both the smallest length classes. The larger size classes of 67-89 cm and > 89 cm contained only Atlantic salmon. Atlantic salmon and sea trout often swam fast past the sonar window and in the center of the river channel, while grayling and smaller trout used more time passing the sonar window and swam often closer to the guiding fences. Both total catch and catch per unit effort were lower in 2020 than four previous years, which demonstrate a need for better monitoring and recovery of the Máskejohka Atlantic salmon stock. A minimum of 747 Atlantic salmon migrated up Máskejohka during the study period, most of them were smaller Atlantic salmon. The larger Atlantic salmon migrated in the late spring and early summer. Including the missing run estimates, a total of 531 Atlantic salmon migrated up Máskejohka in 2020. After accounting for catches, the spawning target attainment was between 39 and 71%. Master Thesis Atlantic salmon Pink salmon University of Tromsø: Munin Open Research Archive Aris ENVELOPE(-61.400,-61.400,-70.633,-70.633) Máskejohka ENVELOPE(28.154,28.154,70.281,70.281) |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
920 Fiskerifag VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 BIO-3950 |
spellingShingle |
920 Fiskerifag VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 BIO-3950 Pedersen, Sonja Lydia Kimo Evaluation and use of a monitoring method to estimate Atlantic salmon spawning run |
topic_facet |
920 Fiskerifag VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 BIO-3950 |
description |
ARIS sonar and Timespace video cameras were used to estimate spawning run and migration pattern of Atlantic salmon in Máskejohka, a tributary belonging to the River Tana. Máskejohka has not been monitored before and needs more detailed information about the stock size and its migration pattern, after several years with declining Atlantic salmon catch. Data for the first weeks of the migration period was hampered by an extreme spring flood, and the total sonar data coverage for the period (31.05.2020-15.09.2020) was 78%. Fish ≥ 45 cm were divided into the following length classes, based on measurements from the sonar data: 45-55 cm, 55-67 cm, 67-89 cm and > 89 cm. Only fish ≥ 45 cm was included, due to minimum Atlantic salmon size. Fish species were subjectively identified with sonar data based on size and behavior before confirming or refuting species with video recordings. Using video-identified species, the probability of a target being an Atlantic salmon was estimated by binomial regression using length as predictor. Estimation of total Atlantic salmon run was then completed using the regression model to estimate the proportion of Atlantic salmon among the targets observed on video. For the period with missing data, the potential run was estimated based on development from week to week from catch statistics from the previous years. Results from the sonar and video analyses were compared to catch statistics from Máskejohka to calculate the size of the spawning stock. The total number of fish registered by the sonar was 1810, 1270 upstream and 539 downstream. A total of 110 Atlantic salmon 75 grayling, 16 trout, 2 whitefish, 2 pike and one pink salmon during the period of 16 days (30.07.2020-14.08.2020) were observed on the video recordings. Grayling dominated the smallest size group between 45-55 cm, while the size group 55-67 cm was dominated by Atlantic salmon. Trout was present in both the smallest length classes. The larger size classes of 67-89 cm and > 89 cm contained only Atlantic salmon. Atlantic salmon and sea trout often swam fast past the sonar window and in the center of the river channel, while grayling and smaller trout used more time passing the sonar window and swam often closer to the guiding fences. Both total catch and catch per unit effort were lower in 2020 than four previous years, which demonstrate a need for better monitoring and recovery of the Máskejohka Atlantic salmon stock. A minimum of 747 Atlantic salmon migrated up Máskejohka during the study period, most of them were smaller Atlantic salmon. The larger Atlantic salmon migrated in the late spring and early summer. Including the missing run estimates, a total of 531 Atlantic salmon migrated up Máskejohka in 2020. After accounting for catches, the spawning target attainment was between 39 and 71%. |
format |
Master Thesis |
author |
Pedersen, Sonja Lydia Kimo |
author_facet |
Pedersen, Sonja Lydia Kimo |
author_sort |
Pedersen, Sonja Lydia Kimo |
title |
Evaluation and use of a monitoring method to estimate Atlantic salmon spawning run |
title_short |
Evaluation and use of a monitoring method to estimate Atlantic salmon spawning run |
title_full |
Evaluation and use of a monitoring method to estimate Atlantic salmon spawning run |
title_fullStr |
Evaluation and use of a monitoring method to estimate Atlantic salmon spawning run |
title_full_unstemmed |
Evaluation and use of a monitoring method to estimate Atlantic salmon spawning run |
title_sort |
evaluation and use of a monitoring method to estimate atlantic salmon spawning run |
publisher |
UiT Norges arktiske universitet |
publishDate |
2021 |
url |
https://hdl.handle.net/10037/21791 |
long_lat |
ENVELOPE(-61.400,-61.400,-70.633,-70.633) ENVELOPE(28.154,28.154,70.281,70.281) |
geographic |
Aris Máskejohka |
geographic_facet |
Aris Máskejohka |
genre |
Atlantic salmon Pink salmon |
genre_facet |
Atlantic salmon Pink salmon |
op_relation |
https://hdl.handle.net/10037/21791 |
op_rights |
openAccess Copyright 2021 The Author(s) |
_version_ |
1766358445158563840 |