| Literature DB >> 16336660 |
Ierecê Ml Rosa1, Rômulo Rn Alves, Kallyne M Bonifácio, José S Mourão, Frederico M Osório, Tacyana Pr Oliveira, Mara C Nottingham.
Abstract
From a conservationist perspective, seahorses are threatened fishes. Concomitantly, from a socioeconomic perspective, they represent a source of income to many fishing communities in developing countries. An integration between these two views requires, among other things, the recognition that seahorse fishers have knowledge and abilities that can assist the implementation of conservation strategies and of management plans for seahorses and their habitats. This paper documents the knowledge held by Brazilian fishers on the biology and ecology of the longsnout seahorse Hippocampus reidi. Its aims were to explore collaborative approaches to seahorse conservation and management in Brazil; to assess fishers' perception of seahorse biology and ecology, in the context evaluating potential management options; to increase fishers' involvement with seahorse conservation in Brazil. Data were obtained through questionnaires and interviews made during field surveys conducted in fishing villages located in the States of Piauí, Ceará, Paraíba, Maranhão, Pernambuco and Pará. We consider the following aspects as positive for the conservation of seahorses and their habitats in Brazil: fishers were willing to dialogue with researchers; although captures and/or trade of brooding seahorses occurred, most interviewees recognized the importance of reproduction to the maintenance of seahorses in the wild (and therefore of their source of income), and expressed concern over population declines; fishers associated the presence of a ventral pouch with reproduction in seahorses (regardless of them knowing which sex bears the pouch), and this may facilitate the construction of collaborative management options designed to eliminate captures of brooding specimens; fishers recognized microhabitats of importance to the maintenance of seahorse wild populations; fishers who kept seahorses in captivity tended to recognize the condtions as poor, and as being a cause of seahorse mortality.Entities:
Mesh:
Year: 2005 PMID: 16336660 PMCID: PMC1334218 DOI: 10.1186/1746-4269-1-12
Source DB: PubMed Journal: J Ethnobiol Ethnomed ISSN: 1746-4269 Impact factor: 2.733
Figure 1Map showing the surveyed States.
Localities where fishers were interviewed in Brazil.
| Acaraú | 02°53'08" S 40°26'57" W | Rio Acaraú, Arpoeiras |
| Aquiraz | 03°54'05" S 38°23'28" W | Prainha, Iguape, Batoque |
| Beberibe | 04°10'47" S 38°07'50" W | Parajuru, Rio Choro, Uruau, Sucatinga |
| Camocim | 02°54'08" S 40°50'28" W | Rio Coreaú, Tatajuba |
| Cascavel | 04°07'59" S 38°14'31" W | Rio Mal Cozinhado, Caponga, Balbino, Águas Belas |
| Caucaia | 03°44'10" S 38°39'11" W | Rio São Gonçalo, Barra do Cauípe |
| Cruz | 02°55'04" S 40°10'18" W | Preá |
| Eusébio | 03°53'24" S 38°27'02" W | Rio Pacoti |
| Fortim | 04°27'07" S 37°47'50" W | Rio Jaguaribe, Rio Piranji |
| Icapui | 04°23'15" S 37°21'48" W | Manibu, Requenguela, Retiro Grande, Redonda, Peixe Gordo, Braço de mar da Barra Grande |
| Itarema | 02°55'13" S 39°54'54" W | Braço de mar de Porto dos Barcos |
| Jijoca | 02°53'42" S 40°26'57" W | Rio Guriu |
| Paracuru | 03°24'36" S 39°01'50" W | Rio Curu |
| São Gonçalo do Amarante | 03°36'26" S 38°58'06" W | Pecém, Taíba |
| Trairi | 03°16'40" S 39°16'08" W | Rio Trairi, Rio Mundau, Guajiru, Flexeiras, Mundau |
| Raposa | 02°25'23" S 44°06'12" W | Raposa |
| Marcação | 06°48'11" S 35°04'50" W | Tramataia |
| Rio Tinto | 06°48'11" S 35°04'50" W | Barra de Mamanguape |
| Goiana | 07°33'38" S 35°00'09" W | Estuário de Itapessoca |
| Cajueiro da Praia | 02°55'40" S 41°20'10" W | Barra Grande, Cajueiro de Cima |
| Bragança | 01°07'30" S 46°37'30" W | Rio Caeté, Rio Maguari, Praia de Ajuruteua |
| Augusto Corrêa | 01°07'30" S 46°37'30" W | Rio Urumajó |
Summary of information provided by fishers in the surveyed communities in Brazil.
| Ceará (n = 42) | Maranhão (n = 29) | Paraíba (n = 19) | Pernambuco (n = 29) | Piauí (n = 32) | Pará (n = 30) | |
| 12 | 02 | 12 | 10 | |||
| 30 | 29 | 17 | 17 | 22 | 30 | |
| Age groups of fishers | 10 a 20 (25%) | 20 a 30 (10.3%) | 30 a 40 (26.3%) | 10 a 20 (10.3%) | 10 a 20 (3.1%) | 20 a 30 (23.3%) |
| 20 a 30 (50%) | 30 a 40 (17.2%) | 40 a 50 (26.3%) | 20 a 30 (10.3%) | 20 a 30 (15.6%) | 30 a 40 (30%) | |
| 30 a 40 (25%) | 40 a 50 (41.4%) | 50 a 60 (26.3%) | 30 a 40 (31 %) | 30 a 40 (15.6%) | 40 a 50 (33.3%) | |
| 50 a 60 (27.6%) | 60 a 70 (21.1%) | 40 a 50 (20.7%) | 40 a 50 (25%) | 50 a 60 (6.7%) | ||
| 60 a 70 (3.5%) | 50 a 60 (20.7%) | 50 a 60 (18.8%) | 60 a 70 (6.7%) | |||
| 60 a 70 (7%) | 60 a 70 (12.5%) | |||||
| 70 a 80 (9.4%) | ||||||
| Colour only (n = 20), colour and skin appendages (n = 12), no answers (n = 10) | Colour only | Colour only | Colour only (n = 10), colour and skin appendages (n = 19) | Colour only (n = 30), colour and skin appendages (n = 2) | Colour only | |
| Yes (n = 8), no (n = 10), no answers (n = 24) | Yes (n = 15), no (n = 14) | Yes (n = 19) | Yes (n = 25), no (n = 4) | Yes (n = 13), no (n = 19) | Yes (n = 8), no (n = 22) | |
| Only estuarine areas (camboas) (n = 26), only sea (n = 13), estuarine areas (camboas) and sea (n = 3) | Only estuarine areas (camboas) (n = 24), only sea (n = 1), estuarine areas (camboas) and sea (n = 4) | Only estuarine areas (camboas) (n = 3), estuarine areas (camboas) and sea (n = 16) | Only estuarine areas (camboas) (n = 29) | Only estuarine areas (camboas) (n = 30), estuarine areas (camboas) and sea (n = 2) | Only estuarine areas (camboas) (n = 12), only sea (n = 10), estuarine areas (camboas) and sea (n = 8) | |
| Yes (n = 19), no (n = 2), no answers (n = 21) | No (n = 29) | Yes (n = 19) | Yes (n = 15), no (n = 1), no answers (n = 13) | No (n = 32) | No (n = 30) | |
| No answers (n = 31), "dirt in the water" (n = 3), fish larvae (n = 1), shrimp larvae (n = 3), crabs (n = 2), algae (n = 2), "lodo" (n = 1) | No answers (n = 14), "dirt in the water" (n = 5), algae (n = 1), "lodo" (n = 11) | No answers (n = 4), fish and shrimp larvae (n = 6), algae (n = 4), "lodo" (n = 5) | No answers (n = 12), adult shrimp (n = 3), shrimp larvae (n = 11), algae (n = 1), mud and "lodo" (n = 2) | No answers (n = 7), "dirt in the water" (n = 5), shrimp larvae (n = 1), algae (n = 4), mud and "lodo" (n = 16) | No answers (n = 6), "dirt in the water" (n = 4), fish larvae (n = 1), shrimp larvae (n = 1), algae (n = 7), mud and "lodo" (n = 19) | |
| No answers (n = 33), "baiacu" (n = 4), "moréias" (n = 3), "ciobas" (n = 1), "cavalas" (n = 1), "beijupirás" (n = 1), other fishes (n = 1) | No answers (21), none (n = 1), large fish ("mero") (n = 1), other fishes (n = 3), crabs (n = 3) | None (all answers) | No answers (n = 21), none (n = 6), crabs (n = 1), large fish ("mero") (n = 1) | No answers (n = 20), none (n = 3), large fish ("mero") (n = 1), "baiacu" (n = 4), crabs (n = 2), "pacamão" (n = 2), "dourado velho" (n = 1), "bagre" (n = 3), "carapitanga" (n = 1), "ariacó" ("cioba") (n = 1) | No answers (n = 11), none (n = 1), "pescada amarela" (n = 3), "garoupa" (n = 4), "gorijuba" (n = 3), "cação" (n = 6), "camurupim" (n = 1), "piraúna" (n = 1), "pargo" (n = 2), "sirigado" (n = 1), large fish ("mero") (n = 1), "baiacu" (n = 2), "bagre" (n = 1), "ariacó" ("cioba") (n = 3), other fishes (n = 5), crabs (n = 1) | |
| Not mentioned | Not mentioned | One respondent | Not mentioned | Not mentioned | Not mentioned | |
| Solitary (generally) (n = 12), groups of 2 or 3 individuals (n = 5), solitary and groups of 2 or 3 individuals (n = 1), no answers (n = 24) | Solitary (n = 14), groups of 2 a 5 individuals (n = 11), solitary and groups of 2 or 3 individuals (n = 4) | Not mentioned | Solitary (n = 21), groups of 2 a 3 individuals (n = 6), solitary and groups (n = 1), no answers (n = 1) | Solitary (n = 12), groups of 2 a 3 individuals (n = 16), solitary and groups of 2 a 3 individuals (n = 4) | Solitary (n = 24), groups of 2 a 3 individuals (n = 5), solitary and groups of 2 or 3 individuals (n = 1) | |
| No answers (n = 28), male (n = 11), female (n = 3) | Female (n = 29) | Male (n = 2), female (n = 17) | No answers (n = 6), male (n = 11), female (n = 12) | Male (n = 3), female (n = 29) | Male (n = 0), female (n = 30) | |
| Not mentioned | Not mentioned | Mentioned by one respondents | Not mentioned | Mentioned by three respondents | Not mentioned | |
| No answers (n = 31), winter (n = 7), summer (n = 1), throughout the year (n = 3) | No answers (n = 21), winter (n = 5), summer (n = 3) | No answers (n = 2), summer (n = 16), throghout the year (n = 1) | No answers (n = 22), winter (n = 5), summer (n = 1), throghout the year (n = 1) | No answers (n = 23), winter (n = 6), summer (n = 1), throughout the year (n = 2) | No answers (n = 23), winter (n = 3), summer (n = 3), throughout the year (n = 1) | |
Summary of information provided by fishers (intentional and occasional) in the surveyed communities in Brazil.
| Intentional fishers (n= 2) | Occasional fishers (n = 17) | Intentional fishers (n= 12) | Occasional fishers (n = 17) | Intentional fishers (n= 12) | Occasional fishers (n = 30) | Intentional fishers (n = 10) | Occasional fishers (n = 22) | |
| Ethnoclassification | Colour (n = 2) | Colour (n = 17) | Colour (n = 3), colour and skin appendages (n = 9) | Colour (n = 7), colour and skin appendages (n = 10) | Colour (n = 2), colour and skin appendages (n = 10) | Colour (n = 19), colour and skin appendages (n = 2), No answers (n = 9) | Colour (n = 8), colour and skin appendages (n = 2) | Colour (n = 22) |
| Population decline | Yes (n = 2) | Yes (n = 17) | Yes (n = 9), no (n = 3) | Yes (n = 16), no (n = 1) | Yes (n = 5), no (n = 6) no answers (n = 1) | Yes (n = 3), no (n = 4) no answers (n = 23) | Yes (n = 8), no (n = 2) | Yes (n = 5), no (n = 17) |
| Habitats | Estuarine areas only (camboas) (n = 2) | Estuarine areas (camboas) and sea (n = 17) | Estuarine areas only (camboas) (n = 12) | Estuarine areas only (camboas) (n = 17) | Estuarine areas only (camboas) (n = 12) | Estuarine areas only (camboas) (n = 12), sea only (n = 12), estuarine areas (camboas) and sea (n = 6) | Estuarine areas only (camboas) (n = 9), estuarine areas (camboas) and sea (n = 1) | Estuarine areas only (camboas) (n = 21), estuarine areas (camboas) and sea (n = 1) |
| Seasonal migration | Yes (n = 2) | Yes (n = 17) | Yes (n = 9), no answers (n = 3) | Yes (n = 5), no (n = 1), no answers (n = 11) | Yes (n = 9), no (n = 1), no answers (n = 2) | Yes (n = 10), no (n = 1), no answers (n = 19) | No (n = 10) | No (n = 22) |
| Quoted prey types | Shrimp larvae (n = 2) | Shrimp and larvae (n = 4), algae (n = 4), "lodo" (n = 5), no answers (n = 4) | Adult shrimp (n = 2), shrimp larvae (n = 7), algae (n = 1), no answers (n = 2) | Adult shrimp (n = 1), shrimp larvae (n = 4), mud and "lodo" (n = 2), no answers (n = 10) | Fish and algae (n = 1), shrimp larvae (n = 3), crabs (n = 2), "dirt in the water" (n = 3), "lodo" (n = 1), no answers (n = 2) | "Dirt in the water" (n = 1), no answers (n = 29) | Egg of fish (1), algae (n = 1), "dirt in the water" (n = 1), mud and "lodo" (n = 6), no answers (n = 1) | "Dirt in the water" (n = 4), lama and "lodo" (n = 10), shrymp larvae (1), algae (n = 3), no answers (6) |
| Quoted predators | None (all answers) | None (all answers) | None (n = 5), large fish ("mero") (n = 1), no answers (n = 6) | None (n = 1), crabs (n = 1), no answers (n = 15) | "Baiacu" (n = 4), "moréias" (n = 3), no answers (n = 5) | Other fishes (n = 1); "cioba", "cavala" e "beijupirá" (n = 1), no answers (n = 28) | "Baiacu" (n = 1), "dourado velho" (n = 1), "bagre" (n = 1), "carapitanga" (n = 1), "siri" (n = 2), no answers (n = 7) | "Baiacu" (n = 3), "pacamão" (n = 2), "bagre" (n = 2), "cioba" (n = 1), no answers (n = 16) |
| Feeding behavior | One respondent | Not mentioned | Not mentioned | Not mentioned | Not mentioned | Not mentioned | Not mentioned | Not mentioned |
| Social structure (adults) | Not mentioned | Not mentioned | Solitary (generally) (n = 7), groups of 2 or 3 individuals (n = 5) | Solitary (generally) (n = 14), groups of 2 or 3 individuals (n = 1), solitary and groups of 2 or 3 individuals (n = 1), no answers (n = 1) | Solitary (generally) (n = 4), groups of 2 or 3 individuals (n = 5), solitary or in groups of 2 or 3 individuals (n = 1), no answers (n = 2) | Solitary (generally) (n = 8), no answers (n = 22) | Solitary (generally) (n = 3), groups of 2 or 3 individuals (n = 7) | Solitary (generally) (n = 9), groups of 2 or 3 individuals (n = 9), solitary or in groups of 2 or 3 individuals (n = 4) |
| Presence of brooding pouch | Female (n = 2) | Male (n = 1), female (n = 16) | Male (n = 6), female (n = 4), no answers (n = 2) | Male (n = 5), female (n = 8), no answers (n = 4) | Male (n = 10), female (n = 2) | Male (n = 1), female (n = 1), no answers (n = 28) | Male (n = 3), female (n = 7) | Female (n = 22) |
| Courtship behavior | One respondent | Not mentioned | Not mentioned | Not mentioned | Not mentioned | Not mentioned | Three respondents | Not mentioned |
| Reproductive period | Summer (n = 2) | Summer (n = 14), throughout the year (n = 1), no answers (n = 2) | Winter (n = 1), throughout the year (n = 1), no answers (n = 10) | Summer (n = 1), Winter (n = 4), no answers (n = 12) | Summer (n = 1), Winter (n = 6), throughout the year (n = 3), no answers (n = 2) | Winter (n = 1), no answers (n = 29) | Summer (n = 1), Winter (n = 1), throughout the year (n = 2), no answers (n = 6) | Winter (n = 5), no answers (n = 17) |
Figure 2Camouflaged Hippocampus reidi, showing skin appendages. Photo: Bertran M. Feitoza.
Figure 3Seahorse fishers, Pernambuco State. Photo: Bertran M. Feitoza.
Figure 4Type of container commonly used to keep the specimens of Hippocampus reidi harvested for the aquarium trade. Photo: Bertran M. Feitoza.
Figure 5"Pregnant" male of Hippocampus reidi exhibiting ventral pouch. Photo: Bertran M. Feitoza.
Examples of how information provided by fishers can be used to manage seahorses and their habitats in Brazil
| Identify threats to seahorses populations | Population declines through overharvesting and bycatch; habitat damage. |
| Identify and document useful practices for maintaining seahorses in captivity (live trade) | Keeping seahorses in the wild until selling the specimens |
| Identify economic incentives that threaten seahorse wild populations | Brooding seahorses are captured because they are accepted by buyers; |
| Reduce to the greatest extent practicable the incidental capture and mortality of seahorses in nets through the development of spatial and seasonal closures | Fishers detain a broad knowledge of seahorses' habitats and main areas of occurrence. |
| Establish necessary measures to protect and conserve seahorse habitats, through the identification of areas of critical habitat. | Fishers detain a broad knowledge of seahorses' habitats and main areas of occurrence, and of possible migrations |
| Gather information on seahorse populations and their habitats | Fishers' knowledge on seahorses' habitat use, colour patterns and skin filaments can be used to monitor seahorse populations, and to better delimit seahorse populations from a taxonomic viewpoint. |