Evidence map›Paper›PMID 28571574›Full record

ArticleJournal of ethnobiology and ethnomedicine2017

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

Mauro Sergio Pinheiro Lima, Jorge Eduardo Lins Oliveira, Marcelo Francisco de Nóbrega, Priscila Fabiana Macedo Lopes

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Article in Journal of ethnobiology and ethnomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mauro Sergio Pinheiro LimaDepartment of Oceanography and Limnology at the Federal University of Rio Grande do Norte, Natal, Brazil. mauspl@yahoo.com.br.
Jorge Eduardo Lins OliveiraDepartment of Oceanography and Limnology at the Federal University of Rio Grande do Norte, Natal, Brazil.
Marcelo Francisco de NóbregaDepartment of Oceanography and Limnology at the Federal University of Rio Grande do Norte, Natal, Brazil.
Priscila Fabiana Macedo LopesFishing Ecology, Management and Economics group, Department of Ecology at the Federal University of Rio Grande do Norte, Natal, RN, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcquiring 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.

methodsWe 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.

resultsBoth 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.

conclusionBoth 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.

Indexed as

FisheriesAnimalsConservation of Natural ResourcesEcologyEcosystemFishesKnowledgeSeasonsArtisanal fishingCaranx crysosFisheries managementLocal ecological knowledgeLutjanus synagrisNortheast BrazilScomberomorus brasiliensis

Identifiers

PMID28571574
PMCPMC5455079

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.