Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS

Detalhes bibliográficos
Autor(a) principal: COSTA, Tatiana Beltrão Alves da
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFRPE
Texto Completo: http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8424
Resumo: Information on the temporal dynamics of the fishing fleets has been widely used to infer many aspects of fisheries science, such as the evaluation of species distribution patterns, investigate impacts on habitats due to fishing effort, in distribution of fishing vessels, among others. In this work we described the spatial distribution and catch composition of the artisanal and recreational fleets of the Fernando de Noronha Archipelago, based on GPS data. For the description of the spatial distribution, a Hidden Markov model was applied in order to segment the trajectories in different activities, called behavioral states. Onboard observer’s data from 21% of the trips monitored via GPS were used to validate the prediction of the models. Values of accuracy over and underestimation of fishing activity estimated by the modeling were calculated through confusion matrixes. In addition, random forest models were applied to define which variables (subset, interpolation period, number of states, step distribution family and angular distribution family) were most important in the accuracy, over and underestimation. According to distribution results, both fleets occupy similar areas, tending to perform fishing at points traditionally known by fishermen. However, although sharing similar fishing zones the composition and structure of catches differ among fishery fleet. The artisanal fleet concentrates its catch on medium-sized individuals, mainly barracudas (Sphyraena barracuda) and rainbow runner (Elagatis bipinnulata), while the recreative catches fish of more varied sizes, mainly barracudas and tunas. Regarding the modeling of the fishing trajectories, the models generally obtained good values of accuracy between 58% and 79%. In addition, the mean overestimation and mean underestimation of fishing activity were approximately 21% and 6%, respectively. According to results from the random forests, the subset, number of states and period of interpolation were considered the most influential variables for accuracy, overestimation and underestimation of catching state. It was observed that the models tended to overestimate fishing events in high sinuosity and high-speed segments. In addition, models also underestimated fishing in portions of the trajectory where boats sailed straight and at moderate speed. In relation to the number of states, the addition of a third behavioral state resulted in better accuracy results, but it did not mean the increment of a new behavioral state serving only to refine the estimation of the fishing state. In general, the results obtained in this work can help to understand the spatial dynamics of the fishing fleets of Fernando de Noronha, highlighting important fishing areas that mostly surround the limits of the Marine National Park. The information presented here may serve to better clarify the particularities of the artisanal and recreational fishermen of the archipelago and also in the forecast the impacts that changes in the conservation units could cause in the distribution of the vessels.
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spelling BERTRAND, Sophie Annick Nathalie LancoFERREIRA, Beatrice PadovaniANDRADE, Humber Agrelli dehttp://lattes.cnpq.br/2345443656412096COSTA, Tatiana Beltrão Alves da2019-12-10T15:24:05Z2019-05-17COSTA, Tatiana Beltrão Alves da. Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS. 2019. 55 f. Dissertação (Programa de Pós-Graduação em Recursos Pesqueiros e Aquicultura) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8424Information on the temporal dynamics of the fishing fleets has been widely used to infer many aspects of fisheries science, such as the evaluation of species distribution patterns, investigate impacts on habitats due to fishing effort, in distribution of fishing vessels, among others. In this work we described the spatial distribution and catch composition of the artisanal and recreational fleets of the Fernando de Noronha Archipelago, based on GPS data. For the description of the spatial distribution, a Hidden Markov model was applied in order to segment the trajectories in different activities, called behavioral states. Onboard observer’s data from 21% of the trips monitored via GPS were used to validate the prediction of the models. Values of accuracy over and underestimation of fishing activity estimated by the modeling were calculated through confusion matrixes. In addition, random forest models were applied to define which variables (subset, interpolation period, number of states, step distribution family and angular distribution family) were most important in the accuracy, over and underestimation. According to distribution results, both fleets occupy similar areas, tending to perform fishing at points traditionally known by fishermen. However, although sharing similar fishing zones the composition and structure of catches differ among fishery fleet. The artisanal fleet concentrates its catch on medium-sized individuals, mainly barracudas (Sphyraena barracuda) and rainbow runner (Elagatis bipinnulata), while the recreative catches fish of more varied sizes, mainly barracudas and tunas. Regarding the modeling of the fishing trajectories, the models generally obtained good values of accuracy between 58% and 79%. In addition, the mean overestimation and mean underestimation of fishing activity were approximately 21% and 6%, respectively. According to results from the random forests, the subset, number of states and period of interpolation were considered the most influential variables for accuracy, overestimation and underestimation of catching state. It was observed that the models tended to overestimate fishing events in high sinuosity and high-speed segments. In addition, models also underestimated fishing in portions of the trajectory where boats sailed straight and at moderate speed. In relation to the number of states, the addition of a third behavioral state resulted in better accuracy results, but it did not mean the increment of a new behavioral state serving only to refine the estimation of the fishing state. In general, the results obtained in this work can help to understand the spatial dynamics of the fishing fleets of Fernando de Noronha, highlighting important fishing areas that mostly surround the limits of the Marine National Park. The information presented here may serve to better clarify the particularities of the artisanal and recreational fishermen of the archipelago and also in the forecast the impacts that changes in the conservation units could cause in the distribution of the vessels.Informações sobre a dinâmica espaço temporal das frotas pesqueiras vem sendo amplamente utilizada para inferir sobre diversos aspectos da ciência pesqueira, como na avaliação de padrões de distribuição de espécies, investigar impactos sobre habitats devido ao esforço pesqueiro, na distribuição das embarcações de pesca, entre outros. Neste trabalho descrevemos a distribuição espacial e a composição de captura de acordo das frotas artesanal e recreativa do Arquipélago de Fernando de Noronha, baseando-se em dados de GPS. Para descrição da distribuição espacial foi aplicado um modelo Oculto de Markov a fim de segmentar as trajetórias em diferentes atividades, denominadas estados comportamentais. Para validar a predição dos modelos foram utilizados dados de observador de bordo que acompanharam 20% das viagens monitoradas via GPS. Valores de acurácia sobre e subestimação da atividade pesqueira estimadas pela modelagem foram calculados através de matrizes de confusão. Além disso, foram aplicados modelos de florestas aleatórias para definir quais variáveis (banco de dados, período de interpolação, número de estados, família de distribuição dos passos e família de distribuição dos ângulos) eram mais importantes na acurácia, sobre e subestimação da pesca de acordo com modelos. De acordo com resultados de distribuição, ambas frotas ocupam áreas similares, tendendo a desempenhar a pesca em pontos tradicionalmente conhecidos pelos pescadores. No entanto, ainda que compartilhando zonas pesqueiras parecidas as composição e estrutura das capturas diferem-se. A frota artesanal concentra sua captura em indivíduos de tamanho médio, principalmente barracudas (Sphyraena barracuda) e peixe-rei (Elagatis bipinnulata), enquanto que a pesca esportiva captura peixes de tamanhos mais variados, sendo eles principalmente barracudas e tunídeos. Quanto a modelagem das trajetórias pesqueiras, de modo geral os modelos obtiveram bons valores de acurácia entre 58% e 79%. Além disso, sobre estimação e subestimação média da atividade de pesca ficaram em aproximadamente 21% e 6.5%, respectivamente. Segundo resultados das florestas aleatórias, o tipo de banco de dados, número de estados e período de interpolação foram consideras as variáveis mais influentes para variação da acurácia, sobre estimação e subestimação do estado de captura. Foi observado que os modelos tenderam a sobrestimar eventos de pesca em percursos com alta sinuosidade e alta velocidade. Em adição, modelos também subestimaram a pesca em porções da trajetória onde os barcos navegavam em linha reta e em velocidade moderada. Em relação ao número de estados, a adição de um terceiro estado comportamental não significou o incremento de um novo estado comportamental servindo apenas para o refinamento da estimação do estado de pesca. No geral, os resultados adquiridos nesse trabalho podem auxiliar o entendimento da dinâmica espacial das frotas pesqueiras de Fernando de Noronha, salientando importantes zonas de pesca que em sua maioria circundam os limites do Parque Nacional Marinho. As informações aqui apresentadas podem servir para melhor esclarecer as particularidades dos pescadores artesanais e recreativos de Fernando de Noronha e também na previsão de quais impactos alterações nas unidades de conservação poderiam causar na distribuição das embarcações.Submitted by Mario BC (mario@bc.ufrpe.br) on 2019-12-10T15:24:05Z No. of bitstreams: 1 Tatiana Beltrao Alves da Costa.pdf: 979592 bytes, checksum: 54c37ea241291a14a08677cc3fda61b5 (MD5)Made available in DSpace on 2019-12-10T15:24:05Z (GMT). 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dc.title.por.fl_str_mv Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS
title Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS
spellingShingle Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS
COSTA, Tatiana Beltrão Alves da
Frota pesqueira
Atividade pesqueira
Fernando de Noronha (PE)
Geolocalização
CIENCIAS AGRARIAS::RECURSOS PESQUEIROS E ENGENHARIA DE PESCA
title_short Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS
title_full Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS
title_fullStr Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS
title_full_unstemmed Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS
title_sort Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS
author COSTA, Tatiana Beltrão Alves da
author_facet COSTA, Tatiana Beltrão Alves da
author_role author
dc.contributor.advisor1.fl_str_mv BERTRAND, Sophie Annick Nathalie Lanco
dc.contributor.referee1.fl_str_mv FERREIRA, Beatrice Padovani
dc.contributor.referee2.fl_str_mv ANDRADE, Humber Agrelli de
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/2345443656412096
dc.contributor.author.fl_str_mv COSTA, Tatiana Beltrão Alves da
contributor_str_mv BERTRAND, Sophie Annick Nathalie Lanco
FERREIRA, Beatrice Padovani
ANDRADE, Humber Agrelli de
dc.subject.por.fl_str_mv Frota pesqueira
Atividade pesqueira
Fernando de Noronha (PE)
Geolocalização
topic Frota pesqueira
Atividade pesqueira
Fernando de Noronha (PE)
Geolocalização
CIENCIAS AGRARIAS::RECURSOS PESQUEIROS E ENGENHARIA DE PESCA
dc.subject.cnpq.fl_str_mv CIENCIAS AGRARIAS::RECURSOS PESQUEIROS E ENGENHARIA DE PESCA
description Information on the temporal dynamics of the fishing fleets has been widely used to infer many aspects of fisheries science, such as the evaluation of species distribution patterns, investigate impacts on habitats due to fishing effort, in distribution of fishing vessels, among others. In this work we described the spatial distribution and catch composition of the artisanal and recreational fleets of the Fernando de Noronha Archipelago, based on GPS data. For the description of the spatial distribution, a Hidden Markov model was applied in order to segment the trajectories in different activities, called behavioral states. Onboard observer’s data from 21% of the trips monitored via GPS were used to validate the prediction of the models. Values of accuracy over and underestimation of fishing activity estimated by the modeling were calculated through confusion matrixes. In addition, random forest models were applied to define which variables (subset, interpolation period, number of states, step distribution family and angular distribution family) were most important in the accuracy, over and underestimation. According to distribution results, both fleets occupy similar areas, tending to perform fishing at points traditionally known by fishermen. However, although sharing similar fishing zones the composition and structure of catches differ among fishery fleet. The artisanal fleet concentrates its catch on medium-sized individuals, mainly barracudas (Sphyraena barracuda) and rainbow runner (Elagatis bipinnulata), while the recreative catches fish of more varied sizes, mainly barracudas and tunas. Regarding the modeling of the fishing trajectories, the models generally obtained good values of accuracy between 58% and 79%. In addition, the mean overestimation and mean underestimation of fishing activity were approximately 21% and 6%, respectively. According to results from the random forests, the subset, number of states and period of interpolation were considered the most influential variables for accuracy, overestimation and underestimation of catching state. It was observed that the models tended to overestimate fishing events in high sinuosity and high-speed segments. In addition, models also underestimated fishing in portions of the trajectory where boats sailed straight and at moderate speed. In relation to the number of states, the addition of a third behavioral state resulted in better accuracy results, but it did not mean the increment of a new behavioral state serving only to refine the estimation of the fishing state. In general, the results obtained in this work can help to understand the spatial dynamics of the fishing fleets of Fernando de Noronha, highlighting important fishing areas that mostly surround the limits of the Marine National Park. The information presented here may serve to better clarify the particularities of the artisanal and recreational fishermen of the archipelago and also in the forecast the impacts that changes in the conservation units could cause in the distribution of the vessels.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-12-10T15:24:05Z
dc.date.issued.fl_str_mv 2019-05-17
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv COSTA, Tatiana Beltrão Alves da. Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS. 2019. 55 f. Dissertação (Programa de Pós-Graduação em Recursos Pesqueiros e Aquicultura) - Universidade Federal Rural de Pernambuco, Recife.
dc.identifier.uri.fl_str_mv http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8424
identifier_str_mv COSTA, Tatiana Beltrão Alves da. Análise comportamental e distribuição da atividade pesqueira no Arquipelágo de Fernando de Noronha (Nordeste, BR) baseada em dados de GPS. 2019. 55 f. Dissertação (Programa de Pós-Graduação em Recursos Pesqueiros e Aquicultura) - Universidade Federal Rural de Pernambuco, Recife.
url http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8424
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dc.publisher.none.fl_str_mv Universidade Federal Rural de Pernambuco
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Recursos Pesqueiros e Aquicultura
dc.publisher.initials.fl_str_mv UFRPE
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Departamento de Pesca e Aquicultura
publisher.none.fl_str_mv Universidade Federal Rural de Pernambuco
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