Unravelling the scientific potential of high resolution fishery data
Fisheries science and fisheries management advice rely on both scientific and commercial data to estimate the distribution and abundance of marine species. These two data types differ, with scientific data having a broader geographical coverage but less intensity and time coverage compared to commer...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2018-01-01
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| Series: | Aquatic Living Resources |
| Subjects: | |
| Online Access: | https://www.alr-journal.org/articles/alr/full_html/2018/01/alr180013/alr180013.html |
| _version_ | 1797698265483837440 |
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| author | Plet-Hansen Kristian Schreiber Larsen Erling Mortensen Lars Olof Nielsen J. Rasmus Ulrich Clara |
| author_facet | Plet-Hansen Kristian Schreiber Larsen Erling Mortensen Lars Olof Nielsen J. Rasmus Ulrich Clara |
| author_sort | Plet-Hansen Kristian Schreiber |
| collection | DOAJ |
| description | Fisheries science and fisheries management advice rely on both scientific and commercial data to estimate the distribution and abundance of marine species. These two data types differ, with scientific data having a broader geographical coverage but less intensity and time coverage compared to commercial data. Here we present a new type of commercial data with high resolution and coverage. To our knowledge, the dataset presented in this study has never been used for scientific purposes. While commercial datasets usually include the total weight by species on per haul basis, the new data also include the commercial size class for the species landed, recorded directly on a haul-by-haul basis. Thus, this dataset has the potential to provide knowledge on landed fish with as high spatio-temporal resolution as when coupling logbooks and sales slips but with the addition of detailed knowledge on the size distribution. Such information may otherwise be obtained through on-board observer programmes but unlike the observers’ data, the dataset presented here is routinely collected on most of the trips of the vessels involved, which means that the coverage of the data for the individual vessel is larger than observers’ data. Furthermore, the risk of changes in fishing behaviour due to the presence of an observer on-board is avoided. This paper describes the coverage and completeness of the dataset, and explores the reliability of the data available. We conclude that the main limitation is the small number of fishing vessels covered by the program, but that the data from those vessels are accurate, detailed, and relatively reliable. |
| first_indexed | 2024-03-12T03:51:40Z |
| format | Article |
| id | doaj.art-878f3baf9c504fe3a0195d8d5e8edd15 |
| institution | Directory Open Access Journal |
| issn | 1765-2952 |
| language | English |
| last_indexed | 2024-03-12T03:51:40Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Aquatic Living Resources |
| spelling | doaj.art-878f3baf9c504fe3a0195d8d5e8edd152023-09-03T12:19:42ZengEDP SciencesAquatic Living Resources1765-29522018-01-01312410.1051/alr/2018016alr180013Unravelling the scientific potential of high resolution fishery dataPlet-Hansen Kristian Schreiber0Larsen Erling1Mortensen Lars Olof2Nielsen J. Rasmus3Ulrich Clara4Technical University of Denmark, National Institute of Aquatic Resources (DTU Aqua)Technical University of Denmark, National Institute of Aquatic Resources (DTU Aqua)Technical University of Denmark, National Institute of Aquatic Resources (DTU Aqua)Technical University of Denmark, National Institute of Aquatic Resources (DTU Aqua)Technical University of Denmark, National Institute of Aquatic Resources (DTU Aqua)Fisheries science and fisheries management advice rely on both scientific and commercial data to estimate the distribution and abundance of marine species. These two data types differ, with scientific data having a broader geographical coverage but less intensity and time coverage compared to commercial data. Here we present a new type of commercial data with high resolution and coverage. To our knowledge, the dataset presented in this study has never been used for scientific purposes. While commercial datasets usually include the total weight by species on per haul basis, the new data also include the commercial size class for the species landed, recorded directly on a haul-by-haul basis. Thus, this dataset has the potential to provide knowledge on landed fish with as high spatio-temporal resolution as when coupling logbooks and sales slips but with the addition of detailed knowledge on the size distribution. Such information may otherwise be obtained through on-board observer programmes but unlike the observers’ data, the dataset presented here is routinely collected on most of the trips of the vessels involved, which means that the coverage of the data for the individual vessel is larger than observers’ data. Furthermore, the risk of changes in fishing behaviour due to the presence of an observer on-board is avoided. This paper describes the coverage and completeness of the dataset, and explores the reliability of the data available. We conclude that the main limitation is the small number of fishing vessels covered by the program, but that the data from those vessels are accurate, detailed, and relatively reliable.https://www.alr-journal.org/articles/alr/full_html/2018/01/alr180013/alr180013.htmlfisherieshaul-by-haul informationscience-industry cooperationsea-packing commercial fishery datasize distributionspatial and seasonal selectivity |
| spellingShingle | Plet-Hansen Kristian Schreiber Larsen Erling Mortensen Lars Olof Nielsen J. Rasmus Ulrich Clara Unravelling the scientific potential of high resolution fishery data Aquatic Living Resources fisheries haul-by-haul information science-industry cooperation sea-packing commercial fishery data size distribution spatial and seasonal selectivity |
| title | Unravelling the scientific potential of high resolution fishery data |
| title_full | Unravelling the scientific potential of high resolution fishery data |
| title_fullStr | Unravelling the scientific potential of high resolution fishery data |
| title_full_unstemmed | Unravelling the scientific potential of high resolution fishery data |
| title_short | Unravelling the scientific potential of high resolution fishery data |
| title_sort | unravelling the scientific potential of high resolution fishery data |
| topic | fisheries haul-by-haul information science-industry cooperation sea-packing commercial fishery data size distribution spatial and seasonal selectivity |
| url | https://www.alr-journal.org/articles/alr/full_html/2018/01/alr180013/alr180013.html |
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