| Literature DB >> 30463569 |
Marcelo Moreira de Carvalho1, Mônica Rocha de Oliveira2, Priscila Fabiana Macedo Lopes3, Jorge Eduardo Lins Oliveira2.
Abstract
BACKGROUND: Accessing folk knowledge from small-scale fishers is an affordable and reliable approach to understand the dynamic and diversity of shark species worldwide, especially of those eventually caught. In this context, ethnotaxonomy (folk identification and classification) may represent an alternative to support sharks fisheries management, especially in data-poor places. This study aimed to investigate fishing and ethnotaxonomy of the main shark species caught by small-scale fisheries from the coastal waters of the Brazilian Northeast.Entities:
Keywords: Bycatch fauna; Coastal fishing resources; Fishers’ local knowledge
Mesh:
Year: 2018 PMID: 30463569 PMCID: PMC6249882 DOI: 10.1186/s13002-018-0273-0
Source DB: PubMed Journal: J Ethnobiol Ethnomed ISSN: 1746-4269 Impact factor: 2.733
Fig. 1Geographical location of the state of Rio Grande do Norte, northeastern of Brazil, highlighting the sampling sites at the municipalities of Caiçara do Norte (CN), Natal (NT), and Baía Formosa (BF)
Brazilian Portuguese nomenclature (generic name cação + ethnospecific modifier) for the main sharks species identified by fishers from small-scale fisheries from the state of Rio Grande do Norte, northeastern of Brazil
| Species scientific identification | English common nomenclature | Brazilian Portuguese ethnospecific modifier | Identification per species (%) | Capture citation | IUCN/MMA status |
|---|---|---|---|---|---|
| Bigeye thresher shark | 136 (67) | 2 | VU/VU | ||
| RABUDO ( | 17 (8) | – | |||
| GAIÚDO/GALHUDO ( | 3 (1.5) | – | |||
| ZORRO ( | 1 (0.5) | – | |||
| misidentification | 47 (23) | – | |||
| Shortfin mako | 121 (49) | 42 | VU/ NT | ||
| 83 (33) | 32 | ||||
| ANEQUIM ( | 14 (6) | – | |||
| misidentification | 30 (12) | – | |||
| Tiger shark | 107 (48) | 17 | NT/NT | ||
| 74 (33) | 2 | ||||
| misidentification | 41 (18) | – | |||
| Blue shark | 172 (60) | 42 | NT/NT | ||
| 73 (25) | 20 | ||||
| misidentification | 44 (15) | – | |||
| Brazilian sharpnose shark | 87 (43) | 28 | LC/NT | ||
| 31 (15) | – | ||||
| misidentification | 85 (42) | – | |||
| Caribbean sharpnose shark | 90 (53) | 35 | LC/DD | ||
| 25 (15) | – | ||||
| misidentification | 56 (33) | – | |||
| Scalloped hammerhead shark | 147 (51) | 76 | EN/CR | ||
| PANÃ AMARELA ( | 28 (10) | – | |||
| 76 (26) | – | ||||
| misidentification | 39 (13) | – | |||
| Great hammerhead shark | 156 (54) | 74 | EN/EN | ||
| 43 (15) | – | ||||
| 83 (29) | – | ||||
| misidentification | 5 (2) | – | |||
| Nurse shark | 243 (80) | 11 | DD/VU | ||
| 57 (19) | – | ||||
| misidentification | 4 (1) | – | |||
| Silky shark | LOMBO-PRETO ( | 17 (12) | 6 | NT/NT | |
| misidentification | 121 (88) | – | |||
| Bull shark | 40 (26) | – | NT/NT | ||
| misidentification | 116 (74) | – | |||
| Blacktip shark | 64 (36) | 15 | NT/NT | ||
| SICURI ( | 18 (10) | – | |||
| misidentification | 96 (54) | – | |||
| Caribbean reef shark | 47 (26) | 18 | NT/VU | ||
| CABEÇUDO ( | 6 (3) | – | |||
| misidentification | 126 (70) | – | |||
| Night shark | 43 (41) | – | VU/VU | ||
| SICURI-BOLA ( | 14 (13) | – | |||
| misidentification | 48 (46) | – | |||
| Blacknose shark |
| 188 (65) | 36 | NT/NT | |
| misidentification | 100 (35) | – | |||
| Sandbar shark | BICO DOCE-DE-PAREDE ( | 12 (10) | – | VU/CR | |
| misidentification | 105 (90) | – | |||
| Lemon shark | LIMÃO ( | 12 (13) | – | NT/VU | |
| DOS-RECIFES ( | 10 (11) | – | |||
| misidentification | 72 (77) | – | |||
| Smooth hammerhead shark | 175 (72) | 22 | VU/CR | ||
| 46 (19) | – | ||||
| misidentification | 23 (9) | – | |||
| Whale shark | 147 (63) | – | VU/VU | ||
| 65 (28) | – | ||||
| ESTRELA ( | 12 (5) | – | |||
| misidentification | 8 (3) | – | |||
| Dusky shark | FIDALGO ( | 11 (11) | – | VU/EN | |
| misidentification | 85 (89) | – |
Ethnospecific terms based on the following: 1morphological criteria; 2ecological criteria. Names in bold correspond to the main folk species cited (minimum citation of 15%). Fisher’s capture based on the number of valid citations within the last 12 months before interviews (misidentifications were not considered). Conservation status according to the International Union for Conservation of Nature (IUCN) and Brazil’s Ministry of the Environment-(MMA) Ordinance 445 of 2014 [53]. EN endangered, VU vulnerable, LC least concern, NT near threatened, CR critically endangered, DD data deficient
Fig. 2Dendrogram of the main shark species identified by small-scale fishers from the state of Rio Grande do Norte, northeastern of Brazil (30 respondents), based on external morphological attributes (size, shape, and color)
Fig. 3Multiple correspondence analyses for fishing period, species, and fishing gear associated to shark catches in the state of Rio Grande do Norte. Ellipses in solid line: dry season; dashed line: rainy season (eigenvalue and adjusted inertia (%): D1 = 0.570; 49.49%; D2 = 0.479; 18.77%)