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The use of Local Ecological Knowledge as a complementary approach to understand the temporal and spatial patterns of fishery resources distribution

BACKGROUND: Acquiring fast and accurate information on ecological patterns of fishery resources is a basic first step for their management. However, some countries may lack the technical and/or the financial means to undergo traditional scientific samplings to get such information; therefore afforda...

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Autores principales: LIMA, Mauro Sergio Pinheiro, OLIVEIRA, Jorge Eduardo LINS, de NÓBREGA, Marcelo Francisco, LOPES, Priscila Fabiana Macedo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5455079/
https://www.ncbi.nlm.nih.gov/pubmed/28571574
http://dx.doi.org/10.1186/s13002-017-0156-9
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author LIMA, Mauro Sergio Pinheiro
OLIVEIRA, Jorge Eduardo LINS
de NÓBREGA, Marcelo Francisco
LOPES, Priscila Fabiana Macedo
author_facet LIMA, Mauro Sergio Pinheiro
OLIVEIRA, Jorge Eduardo LINS
de NÓBREGA, Marcelo Francisco
LOPES, Priscila Fabiana Macedo
author_sort LIMA, Mauro Sergio Pinheiro
collection PubMed
description BACKGROUND: Acquiring fast and accurate information on ecological patterns of fishery resources is a basic first step for their management. However, some countries may lack the technical and/or the financial means to undergo traditional scientific samplings to get such information; therefore affordable and reliable alternatives need to be sought. METHODS: We compared two different approaches to identify occurrence patterns and catch for three main fish species caught with bottom-set gillnets used by artisanal fishers from northeast Brazil: (1) scientific on-board record data of small-scale fleet (n = 72 trips), and (2) interviews with small-scale fishers on Local Ecological Knowledge (LEK) (n = 32 interviews). We correlated (Pearson correlations) the months cited by fishers (LEK) as belonging to the rainy or to the dry season with observed periods of higher and lower precipitation (SK). The presence of the three main fish species at different depths was compared between LEK and SK by Spearman correlations. Spearman correlations were also used to compare the depths of greatest abundance (with the highest Capture per Unit Effort - CPUE) of these species; the CPUEs were descendly ordered. RESULTS: Both methods provided similar and complementary bathymetric patterns of species occurrence and catch. The largest catches occured in deeper areas, which also happened to be less intensively fished. The preference for fishing in shallower and less productive areas was mostly due to environmental factors, such as weaker currents and less drifting algae at such depths. CONCLUSION: Both on-board and interview methods were accurate and brought complementary information, even though fishers provided faster data when compared to scientific on-board observations. When time and funding are not limited, integrative approaches such as the one presented here are likely the best option to obtain information, otherwise fishers’ LEK could be a better choice for when a compromise between speed, reliability and cost needs to be reached. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13002-017-0156-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-54550792017-06-06 The use of Local Ecological Knowledge as a complementary approach to understand the temporal and spatial patterns of fishery resources distribution LIMA, Mauro Sergio Pinheiro OLIVEIRA, Jorge Eduardo LINS de NÓBREGA, Marcelo Francisco LOPES, Priscila Fabiana Macedo J Ethnobiol Ethnomed Research BACKGROUND: Acquiring fast and accurate information on ecological patterns of fishery resources is a basic first step for their management. However, some countries may lack the technical and/or the financial means to undergo traditional scientific samplings to get such information; therefore affordable and reliable alternatives need to be sought. METHODS: We compared two different approaches to identify occurrence patterns and catch for three main fish species caught with bottom-set gillnets used by artisanal fishers from northeast Brazil: (1) scientific on-board record data of small-scale fleet (n = 72 trips), and (2) interviews with small-scale fishers on Local Ecological Knowledge (LEK) (n = 32 interviews). We correlated (Pearson correlations) the months cited by fishers (LEK) as belonging to the rainy or to the dry season with observed periods of higher and lower precipitation (SK). The presence of the three main fish species at different depths was compared between LEK and SK by Spearman correlations. Spearman correlations were also used to compare the depths of greatest abundance (with the highest Capture per Unit Effort - CPUE) of these species; the CPUEs were descendly ordered. RESULTS: Both methods provided similar and complementary bathymetric patterns of species occurrence and catch. The largest catches occured in deeper areas, which also happened to be less intensively fished. The preference for fishing in shallower and less productive areas was mostly due to environmental factors, such as weaker currents and less drifting algae at such depths. CONCLUSION: Both on-board and interview methods were accurate and brought complementary information, even though fishers provided faster data when compared to scientific on-board observations. When time and funding are not limited, integrative approaches such as the one presented here are likely the best option to obtain information, otherwise fishers’ LEK could be a better choice for when a compromise between speed, reliability and cost needs to be reached. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13002-017-0156-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-01 /pmc/articles/PMC5455079/ /pubmed/28571574 http://dx.doi.org/10.1186/s13002-017-0156-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
LIMA, Mauro Sergio Pinheiro
OLIVEIRA, Jorge Eduardo LINS
de NÓBREGA, Marcelo Francisco
LOPES, Priscila Fabiana Macedo
The use of Local Ecological Knowledge as a complementary approach to understand the temporal and spatial patterns of fishery resources distribution
title The use of Local Ecological Knowledge as a complementary approach to understand the temporal and spatial patterns of fishery resources distribution
title_full The use of Local Ecological Knowledge as a complementary approach to understand the temporal and spatial patterns of fishery resources distribution
title_fullStr The use of Local Ecological Knowledge as a complementary approach to understand the temporal and spatial patterns of fishery resources distribution
title_full_unstemmed The use of Local Ecological Knowledge as a complementary approach to understand the temporal and spatial patterns of fishery resources distribution
title_short The use of Local Ecological Knowledge as a complementary approach to understand the temporal and spatial patterns of fishery resources distribution
title_sort use of local ecological knowledge as a complementary approach to understand the temporal and spatial patterns of fishery resources distribution
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5455079/
https://www.ncbi.nlm.nih.gov/pubmed/28571574
http://dx.doi.org/10.1186/s13002-017-0156-9
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