Understanding the spatiotemporal recruitment dynamics of commercially important fish species in the North Sea
Nearly 75% of marine fish stocks are overexploited and management based on sound science is needed to promote stock recovery and sustainability. Understanding recruitment, the number of fish entering the fishable stock every year, is key to sustainable management strategies. This thesis addressed th...
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Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
2017
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Online Access: | http://nbn-resolving.de/urn:nbn:de:gbv:18-89654 https://ediss.sub.uni-hamburg.de/handle/ediss/7543 |
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author | Akimova, Anna |
author2 | Peck, Myron A. (Prof. Dr.) |
author_facet | Akimova, Anna |
author_sort | Akimova, Anna |
collection | ediss.sub.hamburg (Staats- und Universitätsbibliothek Hamburg, Carl von Ossietzky) |
description | Nearly 75% of marine fish stocks are overexploited and management based on sound science is needed to promote stock recovery and sustainability. Understanding recruitment, the number of fish entering the fishable stock every year, is key to sustainable management strategies. This thesis addressed the need for investigation of the spatial and temporal variability of the processes driving recruitment variability of commercially important fish species in the North Sea. In Chapter 4, a solid basis for analyses of the spatial and temporal variability of North Sea hydrography was produced. A physical-statistical model (Adjusted Hydrography Optimal Interpolation, AHOI) was developed to produce gridded hydrography based on available oceanographic observations. The AHOI was applied to produce high-resolution (0.2° x 0.2°) monthly maps of temperature and salinity in the North Sea for the period between 1948 and 2013. The accuracy of 0.3 °C for temperature and 0.1 for salinity maps was assessed. The AHOI dataset was made freely available for the scientific community to promote its use in ecosystem-related studies. In Chapter 5, the AHOI maps were used to explore how the environment influences the biomass and reproduction of nine commercially important fish species in the North Sea. The stocks examined were: Atlantic cod (Gadus morhua), Atlantic herring (Clupea harengus), European sprat (Sprattus sprattus), European plaice (Pleuronectes platessa), haddock (Melanogrammus aeglefinus), Norway Pout (Trisopterus esmarkii), whiting (Merlangius merlangus), common sole (Solea solea), and saithe (Pollachius virens). Spatially-explicit cross-correlation analysis revealed a positive correlation between water temperature in the north-western North Sea and herring spawning stock biomass, and a negative correlation between temperature in the southern North Sea and the pre-recruitment survival index of sole. A positive correlation was found between water salinity and the spawning stock biomass and recruitment of sprat. Moreover, the ... |
format | Doctoral or Postdoctoral Thesis |
genre | atlantic cod Gadus morhua |
genre_facet | atlantic cod Gadus morhua |
geographic | Norway |
geographic_facet | Norway |
id | ftsubhamburg:oai:ediss.sub.uni-hamburg.de:ediss/7543 |
institution | Open Polar |
language | English |
op_collection_id | ftsubhamburg |
op_relation | http://nbn-resolving.de/urn:nbn:de:gbv:18-89654 https://ediss.sub.uni-hamburg.de/handle/ediss/7543 |
op_rights | http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess No license |
publishDate | 2017 |
publisher | Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky |
record_format | openpolar |
spelling | ftsubhamburg:oai:ediss.sub.uni-hamburg.de:ediss/7543 2025-01-16T20:58:58+00:00 Understanding the spatiotemporal recruitment dynamics of commercially important fish species in the North Sea Zeitliche und räumliche Variabilität der Rekrutierung von kommerziell genutzten Fischarten in der Nordsee Akimova, Anna Peck, Myron A. (Prof. Dr.) 2017-01-01 http://nbn-resolving.de/urn:nbn:de:gbv:18-89654 https://ediss.sub.uni-hamburg.de/handle/ediss/7543 eng eng Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky http://nbn-resolving.de/urn:nbn:de:gbv:18-89654 https://ediss.sub.uni-hamburg.de/handle/ediss/7543 http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess No license 570 Biowissenschaften Biologie 38.90 Ozeanologie Ozeanographie 42.94 Meeresbiologie Fische Rekrutierung Nordsee Fischerei Modellierung Meereskunde ddc:570 doctoralThesis doc-type:doctoralThesis 2017 ftsubhamburg 2023-02-19T23:10:07Z Nearly 75% of marine fish stocks are overexploited and management based on sound science is needed to promote stock recovery and sustainability. Understanding recruitment, the number of fish entering the fishable stock every year, is key to sustainable management strategies. This thesis addressed the need for investigation of the spatial and temporal variability of the processes driving recruitment variability of commercially important fish species in the North Sea. In Chapter 4, a solid basis for analyses of the spatial and temporal variability of North Sea hydrography was produced. A physical-statistical model (Adjusted Hydrography Optimal Interpolation, AHOI) was developed to produce gridded hydrography based on available oceanographic observations. The AHOI was applied to produce high-resolution (0.2° x 0.2°) monthly maps of temperature and salinity in the North Sea for the period between 1948 and 2013. The accuracy of 0.3 °C for temperature and 0.1 for salinity maps was assessed. The AHOI dataset was made freely available for the scientific community to promote its use in ecosystem-related studies. In Chapter 5, the AHOI maps were used to explore how the environment influences the biomass and reproduction of nine commercially important fish species in the North Sea. The stocks examined were: Atlantic cod (Gadus morhua), Atlantic herring (Clupea harengus), European sprat (Sprattus sprattus), European plaice (Pleuronectes platessa), haddock (Melanogrammus aeglefinus), Norway Pout (Trisopterus esmarkii), whiting (Merlangius merlangus), common sole (Solea solea), and saithe (Pollachius virens). Spatially-explicit cross-correlation analysis revealed a positive correlation between water temperature in the north-western North Sea and herring spawning stock biomass, and a negative correlation between temperature in the southern North Sea and the pre-recruitment survival index of sole. A positive correlation was found between water salinity and the spawning stock biomass and recruitment of sprat. Moreover, the ... Doctoral or Postdoctoral Thesis atlantic cod Gadus morhua ediss.sub.hamburg (Staats- und Universitätsbibliothek Hamburg, Carl von Ossietzky) Norway |
spellingShingle | 570 Biowissenschaften Biologie 38.90 Ozeanologie Ozeanographie 42.94 Meeresbiologie Fische Rekrutierung Nordsee Fischerei Modellierung Meereskunde ddc:570 Akimova, Anna Understanding the spatiotemporal recruitment dynamics of commercially important fish species in the North Sea |
title | Understanding the spatiotemporal recruitment dynamics of commercially important fish species in the North Sea |
title_full | Understanding the spatiotemporal recruitment dynamics of commercially important fish species in the North Sea |
title_fullStr | Understanding the spatiotemporal recruitment dynamics of commercially important fish species in the North Sea |
title_full_unstemmed | Understanding the spatiotemporal recruitment dynamics of commercially important fish species in the North Sea |
title_short | Understanding the spatiotemporal recruitment dynamics of commercially important fish species in the North Sea |
title_sort | understanding the spatiotemporal recruitment dynamics of commercially important fish species in the north sea |
topic | 570 Biowissenschaften Biologie 38.90 Ozeanologie Ozeanographie 42.94 Meeresbiologie Fische Rekrutierung Nordsee Fischerei Modellierung Meereskunde ddc:570 |
topic_facet | 570 Biowissenschaften Biologie 38.90 Ozeanologie Ozeanographie 42.94 Meeresbiologie Fische Rekrutierung Nordsee Fischerei Modellierung Meereskunde ddc:570 |
url | http://nbn-resolving.de/urn:nbn:de:gbv:18-89654 https://ediss.sub.uni-hamburg.de/handle/ediss/7543 |