Using the bootstrap to investigate the effects of varying tow lengths and catch sampling schemes in fish survey
9 páginas, 5 figuras, 1 tabla In this paper we explore the application of bootstrap methods to analyse of errors in trawl survey indices of abundance at age, with focus on the relative participation of the three sampling levels: haul design, sampling of lengths and sampling of ages, and their implic...
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Online Access: | http://hdl.handle.net/10261/55608 https://doi.org/10.1016/j.fishres.2006.03.021 |
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ftcsic:oai:digital.csic.es:10261/55608 2024-02-11T10:03:56+01:00 Using the bootstrap to investigate the effects of varying tow lengths and catch sampling schemes in fish survey Cerviño, Santiago Saborido-Rey, Fran 2006 http://hdl.handle.net/10261/55608 https://doi.org/10.1016/j.fishres.2006.03.021 en eng Elsevier http://dx.doi.org/10.1016/j.fishres.2006.03.021 Fisheries Research 79(3): 294-302 (2006) 0165-7836. http://hdl.handle.net/10261/55608 doi:10.1016/j.fishres.2006.03.021 none Trawl survey Catch sampling Bootstrap Simulations Flemish Cap cod artículo http://purl.org/coar/resource_type/c_6501 2006 ftcsic https://doi.org/10.1016/j.fishres.2006.03.021 2024-01-16T09:40:25Z 9 páginas, 5 figuras, 1 tabla In this paper we explore the application of bootstrap methods to analyse of errors in trawl survey indices of abundance at age, with focus on the relative participation of the three sampling levels: haul design, sampling of lengths and sampling of ages, and their implications for survey accuracy. The method consists of resampling these three sources of variability, independently and together, following the sampling scheme and comparing the results. Our results show that although the haul design component is the main source of variability of abundance at age, the importance of catch sampling (sampling of lengths and ages) may be substantial, especially at low abundance levels. Furthermore, we have used our method as a survey simulator; as an example we have performed a simulation with an alternative sampling scheme, i.e. reducing the tow duration and spending the saved time performing more hauls. The simulation shows that the alternative scheme improves the accuracy of abundance at age. This survey simulator may be used as a tool to evaluate other alternative sampling schemes. We have used the cod (Gadus morhua) data from the Flemish Cap survey as a case study but the method may be adapted to different survey procedures. This study was supported by the European Commission (DG XIV, Study 00/028) and the Spanish National Research Council (CSIC). Peer reviewed Article in Journal/Newspaper Gadus morhua Digital.CSIC (Spanish National Research Council) Fisheries Research 79 3 294 302 |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
English |
topic |
Trawl survey Catch sampling Bootstrap Simulations Flemish Cap cod |
spellingShingle |
Trawl survey Catch sampling Bootstrap Simulations Flemish Cap cod Cerviño, Santiago Saborido-Rey, Fran Using the bootstrap to investigate the effects of varying tow lengths and catch sampling schemes in fish survey |
topic_facet |
Trawl survey Catch sampling Bootstrap Simulations Flemish Cap cod |
description |
9 páginas, 5 figuras, 1 tabla In this paper we explore the application of bootstrap methods to analyse of errors in trawl survey indices of abundance at age, with focus on the relative participation of the three sampling levels: haul design, sampling of lengths and sampling of ages, and their implications for survey accuracy. The method consists of resampling these three sources of variability, independently and together, following the sampling scheme and comparing the results. Our results show that although the haul design component is the main source of variability of abundance at age, the importance of catch sampling (sampling of lengths and ages) may be substantial, especially at low abundance levels. Furthermore, we have used our method as a survey simulator; as an example we have performed a simulation with an alternative sampling scheme, i.e. reducing the tow duration and spending the saved time performing more hauls. The simulation shows that the alternative scheme improves the accuracy of abundance at age. This survey simulator may be used as a tool to evaluate other alternative sampling schemes. We have used the cod (Gadus morhua) data from the Flemish Cap survey as a case study but the method may be adapted to different survey procedures. This study was supported by the European Commission (DG XIV, Study 00/028) and the Spanish National Research Council (CSIC). Peer reviewed |
format |
Article in Journal/Newspaper |
author |
Cerviño, Santiago Saborido-Rey, Fran |
author_facet |
Cerviño, Santiago Saborido-Rey, Fran |
author_sort |
Cerviño, Santiago |
title |
Using the bootstrap to investigate the effects of varying tow lengths and catch sampling schemes in fish survey |
title_short |
Using the bootstrap to investigate the effects of varying tow lengths and catch sampling schemes in fish survey |
title_full |
Using the bootstrap to investigate the effects of varying tow lengths and catch sampling schemes in fish survey |
title_fullStr |
Using the bootstrap to investigate the effects of varying tow lengths and catch sampling schemes in fish survey |
title_full_unstemmed |
Using the bootstrap to investigate the effects of varying tow lengths and catch sampling schemes in fish survey |
title_sort |
using the bootstrap to investigate the effects of varying tow lengths and catch sampling schemes in fish survey |
publisher |
Elsevier |
publishDate |
2006 |
url |
http://hdl.handle.net/10261/55608 https://doi.org/10.1016/j.fishres.2006.03.021 |
genre |
Gadus morhua |
genre_facet |
Gadus morhua |
op_relation |
http://dx.doi.org/10.1016/j.fishres.2006.03.021 Fisheries Research 79(3): 294-302 (2006) 0165-7836. http://hdl.handle.net/10261/55608 doi:10.1016/j.fishres.2006.03.021 |
op_rights |
none |
op_doi |
https://doi.org/10.1016/j.fishres.2006.03.021 |
container_title |
Fisheries Research |
container_volume |
79 |
container_issue |
3 |
container_start_page |
294 |
op_container_end_page |
302 |
_version_ |
1790600339757465600 |