Content area
Reef fisheries are multispecific and employ a variety of fishing gears across marine environments, even in remote areas. This intricate and multifaceted nature of reef fisheries is often overlooked in management strategies, leading to global management failures. In Brazil, information about reef fisheries is often scarce and scattered. This stems from inadequate policies and an unrecognized societal value of reef fisheries. Here, we combine nationwide reef fish landing data (1950–2015) with an extensive literature review on Brazilian reef fisheries. We explore temporal and spatial patterns in total landings, species traits, functional diversity and composition to understand the current scenario, identify drivers of change and highlight information gaps. Brazilian reef fisheries rapidly increased in landing volume, number of targeted species and exploited traits in the 1980’s, despite mainly targeting carnivorous fish (groupers, snappers, jacks and trevallies). Exploited functional space increased over time, mainly due to the incorporation of smaller and lower-trophic level species that gradually were added to the pool of fished species. Local and international markets have been the main drivers behind these patterns, while subsistence fishing is marginal. Lack of proper management and enforcement of existing regulations have led to population declines, dwindling total catches since the early 2000’s, and numerous threatened species. Artisanal fishing accounts for the majority of catches, raising concern on the social impacts of degraded reef fisheries. We highlight the urgent need for adequate fishing statistics, and the use/application of science-based management and policy actions to secure productive fisheries and healthy reef ecosystems in Brazil.
Details
Fisheries;
Reef fishes;
Fish;
Fishing;
Carnivorous animals;
Species diversity;
Marine fishes;
Reef fish;
Landing statistics;
Literature reviews;
Threatened species;
Fishery statistics;
Trophic levels;
Exploitation;
Reef fisheries;
Artisanal fishing;
Fishing gear;
Strategic management;
Population decline;
Landing gear
; Luza, André L. 2
; Cordeiro, César A. M. M. 3
; Dambros, Cristian 2
; Ferreira, Carlos E. L. 4
; Floeter, Sergio R. 5
; B. Francini-Filho, Ronaldo 6
; Freire, Kátia M. F. 7
; Gasalla, Maria A. 8
; Giarrizzo, Tommaso 9
; Giglio, Vinicius J. 10
; Hanazaki, Natalia 11
; Lopes, Priscila F. M. 12
; Longo, Guilherme O. 13
; Luiz, Osmar J. 14
; Magris, Rafael A. 15
; Mendes, Thiago C. 4
; Pinheiro, Hudson T. 6
; Quimbayo, Juan P. 16
; Reis-Filho, José Amorim 17
; Vila-Nova, Daniele A. 2
; Bender, Mariana G. 2
1 University of Hawai’i at Manoa, Hawai’i Institute of Marine Biology, Kaneohe, USA (GRID:grid.410445.0) (ISNI:0000 0001 2188 0957); Universidade Federal de Santa Maria, Department of Ecology and Evolution, Santa Maria, Brazil (GRID:grid.411239.c) (ISNI:0000 0001 2284 6531)
2 Universidade Federal de Santa Maria, Department of Ecology and Evolution, Santa Maria, Brazil (GRID:grid.411239.c) (ISNI:0000 0001 2284 6531)
3 Universidade Estadual do Norte Fluminense Darcy Ribeiro, Laboratório de Ciências Ambientais, Campos dos Goytacazes, Brazil (GRID:grid.412331.6) (ISNI:0000 0000 9087 6639)
4 Universidade Federal Fluminense, Departamento de Biologia Marinha, Niterói, Brazil (GRID:grid.411173.1) (ISNI:0000 0001 2184 6919)
5 Universidade Federal de Santa Catarina, Departamento de Ecologia e Zoologia, Florianópolis, Brazil (GRID:grid.411237.2) (ISNI:0000 0001 2188 7235)
6 Universidade de São Paulo, Centro de Biologia Marinha, São Sebastião, Brazil (GRID:grid.11899.38) (ISNI:0000 0004 1937 0722)
7 Universidade Federal de Sergipe, Laboratório de Ecologia Pesqueira, Departamento de Engenharia de Pesca e Aquicultura, São Cristóvão, Brazil (GRID:grid.411252.1) (ISNI:0000 0001 2285 6801)
8 University of Sao Paulo, Fisheries Ecosystems Laboratory, Oceanographic Institute, São Paulo, Brazil (GRID:grid.11899.38) (ISNI:0000 0004 1937 0722)
9 Universidade Federal do Ceará, Instituto de Ciências do Mar, Fortaleza, Brazil (GRID:grid.8395.7) (ISNI:0000 0001 2160 0329); Universidade Federal do Pará (UFPA), Núcleo de Ecologia Aquática e Pesca da Amazônia, Belém, Brazil (GRID:grid.271300.7) (ISNI:0000 0001 2171 5249)
10 Universidade Federal do Oeste do Pará, Oriximiná, Brazil (GRID:grid.448725.8) (ISNI:0000 0004 0509 0076)
11 Universidade Federal de Santa Catarina, Departamento de Ecologia e Zoologia, Florianópolis, Brazil (GRID:grid.411237.2) (ISNI:0000 0001 2188 7235); Ca’Foscari University of Venice, Department of Environmental Sciences, Informatics and Statistics, Mestre, Italy (GRID:grid.7240.1) (ISNI:0000 0004 1763 0578)
12 Universidade Federal do Rio Grande do Norte, Department of Ecology, Natal, Brazil (GRID:grid.411233.6) (ISNI:0000 0000 9687 399X)
13 Universidade Federal do Rio Grande do Norte, Marine Ecology Laboratory, Department of Oceanography and Limnology, Natal, Brazil (GRID:grid.411233.6) (ISNI:0000 0000 9687 399X)
14 Charles Darwin University, Research Institute for the Environment and Livelihoods, Darwin, Australia (GRID:grid.1043.6) (ISNI:0000 0001 2157 559X)
15 Inst Chico Mendes de Conservação da Biodiversidade, Brasília, Brazil (GRID:grid.456561.5) (ISNI:0000 0000 9218 0782)
16 The Ohio State University, Department of Evolution, Ecology and Organismal Biology, Columbus, USA (GRID:grid.261331.4) (ISNI:0000 0001 2285 7943)
17 Universidade Federal da Bahia, Graduate Studies Program in Ecology: Theory, Application and Values, Salvador, Brazil (GRID:grid.8399.b) (ISNI:0000 0004 0372 8259); Universidade Federal do Pará (UFPA), Núcleo de Ecologia Aquática e Pesca da Amazônia, Belém, Brazil (GRID:grid.271300.7) (ISNI:0000 0001 2171 5249)