Cultural consensus and intracultural diversity in ethnotaxonomy: lessons from a fishing community in Northeast Brazil
Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu časopisecké články
Grantová podpora
Finance Code 001
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
23038.000776/2017-54
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
23038.000776/2017-54
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
465767/2014-1
Conselho Nacional de Desenvolvimento Científico e Tecnológico
465767/2014-1
Conselho Nacional de Desenvolvimento Científico e Tecnológico
465767/2014-1
Conselho Nacional de Desenvolvimento Científico e Tecnológico
INC0006/2019
Fundação de Amparo à Pesquisa do Estado da Bahia
INC0006/2019
Fundação de Amparo à Pesquisa do Estado da Bahia
INC0006/2019
Fundação de Amparo à Pesquisa do Estado da Bahia
851004 LOCAL KNOWLEDGE
European Research Council - International
195.026 ETHNOONTOLOGIES
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
PubMed
35346263
PubMed Central
PMC8962115
DOI
10.1186/s13002-022-00522-y
PII: 10.1186/s13002-022-00522-y
Knihovny.cz E-zdroje
- Klíčová slova
- Artisanal fishers, Ethnobiology, Ethnozoology, Free list, Indigenous and local knowledge, Triad task,
- MeSH
- konsensus MeSH
- lidé MeSH
- lov * MeSH
- rybářství * MeSH
- znalosti MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Brazílie MeSH
BACKGROUND: Traditional fishing communities are strongholds of ethnobiological knowledge but establishing to what degree they harbor cultural consensus about different aspects of this knowledge has been a challenge in many ethnobiological studies. METHODS: We conducted an ethnobiological study in an artisanal fishing community in northeast Brazil, where we interviewed 91 community members (49 men and 42 women) with different type of activities (fishers and non-fishers), in order to obtain free lists and salience indices of the fish they know. To establish whether there is cultural consensus in their traditional knowledge on fish, we engaged a smaller subset of 45 participants in triad tasks where they chose the most different fish out of 30 triads. We used the similarity matrices generated from the task results to detect if there is cultural consensus in the way fish were classified by them. RESULTS: The findings show how large is the community's knowledge of fish, with 197 ethnospecies registered, of which 33 species were detected as salient or important to the community. In general, men cited more fish than women. We also found that there was no cultural consensus in the ways fish were classified. CONCLUSIONS: Both free-listing and triad task methods revealed little cultural consensus in the way knowledge is structured and how fish were classified by community members. Our results suggest that it is prudent not to make assumptions that a given local community has a single cultural consensus model in classifying the organisms in their environment.
Centre for Rainforest Studies The School for Field Studies Yungaburra QLD 4884 Australia
Department of Anthropology Faculty of Science Masaryk University Brno Czech Republic
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