An optimal allocation hauls sampling in order to reduce bias within fishing trip in trawlers operating in the Grand Sole and Porcupine areas (NE Atlantic)

Spanish demersal trawlers which operate in the Grand Sole and Porcupine Areas usually make between 50 and 80 hauls in each fishing trip, lasting around 15 days where fishing is almost continuous. Since the observer is not able to sample every haul, it is crucial to define a robust number of hauls to...

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Main Authors: Bellido-Millán, José María, Pérez-Contreras, María Nélida
Format: Report
Language:English
Published: 2004
Subjects:
Online Access:http://hdl.handle.net/10508/9099
http://hdl.handle.net/10261/327908
id ftcsic:oai:digital.csic.es:10261/327908
record_format openpolar
spelling ftcsic:oai:digital.csic.es:10261/327908 2024-02-11T10:06:36+01:00 An optimal allocation hauls sampling in order to reduce bias within fishing trip in trawlers operating in the Grand Sole and Porcupine areas (NE Atlantic) Bellido-Millán, José María Pérez-Contreras, María Nélida Vigo (España) Atlantic Ocean North Atlantic Northeast Atlantic Irish Sea 2004 http://hdl.handle.net/10508/9099 http://hdl.handle.net/10261/327908 en eng Centro Oceanográfico de Vigo ICES Annual Science Conference. (22/09/2004 - 25/09/2004. Vigo (España)). 2004. ICES CM 2004/FF:01 http://hdl.handle.net/10508/9099 http://hdl.handle.net/10261/327908 20834 open Centro Oceanográfico de Vigo Pesquerías Sampling design Optimal allocation Hauls bootstraps Fishing trip documento de trabajo http://purl.org/coar/resource_type/c_8042 2004 ftcsic 2024-01-16T11:49:08Z Spanish demersal trawlers which operate in the Grand Sole and Porcupine Areas usually make between 50 and 80 hauls in each fishing trip, lasting around 15 days where fishing is almost continuous. Since the observer is not able to sample every haul, it is crucial to define a robust number of hauls to be sampled by the observer. A bootstrap analysis was carried out to determine the minimum number of hauls to be sampled to reduce significantly intra-variance within a fishing trip. Additionally, number of vessels and trips per vessel to be sampled was also analysed. Taking account the multistage sampling design and partitioning the over-all variability over the various stages, optimum sample sizes was estimated. On the other hand, fishermen may vary its retained catch and discard patterns whilst fishing trip occurs. Particular targets, discarded fish length or proportion of discarded/retained may change according to weather, occasional presence/absence of main target, storage space, quota exceeded, etc. To look into these plausible differences, every fishing trip was divided in three periods, beginning of the trip, half period and ending period, containing each one the same number of hauls. Several statistical tests were applied to these three periods to look for differences as well as to fit a consistent division of hauls to every period. Finally, an optimal allocation sampling scheme is suggested, both in terms of minimum number of hauls to be sampled and temporal division of those hauls along the fishing trip. Report North Atlantic Northeast Atlantic Digital.CSIC (Spanish National Research Council)
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language English
topic Centro Oceanográfico de Vigo
Pesquerías
Sampling design
Optimal allocation
Hauls bootstraps
Fishing trip
spellingShingle Centro Oceanográfico de Vigo
Pesquerías
Sampling design
Optimal allocation
Hauls bootstraps
Fishing trip
Bellido-Millán, José María
Pérez-Contreras, María Nélida
An optimal allocation hauls sampling in order to reduce bias within fishing trip in trawlers operating in the Grand Sole and Porcupine areas (NE Atlantic)
topic_facet Centro Oceanográfico de Vigo
Pesquerías
Sampling design
Optimal allocation
Hauls bootstraps
Fishing trip
description Spanish demersal trawlers which operate in the Grand Sole and Porcupine Areas usually make between 50 and 80 hauls in each fishing trip, lasting around 15 days where fishing is almost continuous. Since the observer is not able to sample every haul, it is crucial to define a robust number of hauls to be sampled by the observer. A bootstrap analysis was carried out to determine the minimum number of hauls to be sampled to reduce significantly intra-variance within a fishing trip. Additionally, number of vessels and trips per vessel to be sampled was also analysed. Taking account the multistage sampling design and partitioning the over-all variability over the various stages, optimum sample sizes was estimated. On the other hand, fishermen may vary its retained catch and discard patterns whilst fishing trip occurs. Particular targets, discarded fish length or proportion of discarded/retained may change according to weather, occasional presence/absence of main target, storage space, quota exceeded, etc. To look into these plausible differences, every fishing trip was divided in three periods, beginning of the trip, half period and ending period, containing each one the same number of hauls. Several statistical tests were applied to these three periods to look for differences as well as to fit a consistent division of hauls to every period. Finally, an optimal allocation sampling scheme is suggested, both in terms of minimum number of hauls to be sampled and temporal division of those hauls along the fishing trip.
format Report
author Bellido-Millán, José María
Pérez-Contreras, María Nélida
author_facet Bellido-Millán, José María
Pérez-Contreras, María Nélida
author_sort Bellido-Millán, José María
title An optimal allocation hauls sampling in order to reduce bias within fishing trip in trawlers operating in the Grand Sole and Porcupine areas (NE Atlantic)
title_short An optimal allocation hauls sampling in order to reduce bias within fishing trip in trawlers operating in the Grand Sole and Porcupine areas (NE Atlantic)
title_full An optimal allocation hauls sampling in order to reduce bias within fishing trip in trawlers operating in the Grand Sole and Porcupine areas (NE Atlantic)
title_fullStr An optimal allocation hauls sampling in order to reduce bias within fishing trip in trawlers operating in the Grand Sole and Porcupine areas (NE Atlantic)
title_full_unstemmed An optimal allocation hauls sampling in order to reduce bias within fishing trip in trawlers operating in the Grand Sole and Porcupine areas (NE Atlantic)
title_sort optimal allocation hauls sampling in order to reduce bias within fishing trip in trawlers operating in the grand sole and porcupine areas (ne atlantic)
publishDate 2004
url http://hdl.handle.net/10508/9099
http://hdl.handle.net/10261/327908
op_coverage Vigo (España)
Atlantic Ocean
North Atlantic
Northeast Atlantic
Irish Sea
genre North Atlantic
Northeast Atlantic
genre_facet North Atlantic
Northeast Atlantic
op_relation Centro Oceanográfico de Vigo
ICES Annual Science Conference. (22/09/2004 - 25/09/2004. Vigo (España)). 2004. ICES CM 2004/FF:01
http://hdl.handle.net/10508/9099
http://hdl.handle.net/10261/327908
20834
op_rights open
_version_ 1790604426512171008