20210111 09280300 1.0 TRUE O arquivo vetorial "Percepção de Pesca e Pescados - Petrechos e Embarcações" revela as tipologias mais comuns de embarcações e petrechos de pesca utilizados pela comunidade pesqueira ao longo do Rio Doce. A informação esta agrupada por município e seus dados foram obtidos a partir de dissertações, teses, relatórios técnicos com depoimentos, diagnósticos, planos de saneamento e matérias de jornal difundidas via web. A equipe WALM realizou um trabalho detalhado de coleta dessas informações, organização e agrupamento. Devido ao grande número de fontes consultadas, estas foram compiladas nas abas "Fontes" e divididas por território. Percepção PG16 pesca Petrechos. Embarcações Tipologias mais comuns de embarcações e petrechos de pesca utilizados pela comunidade pesqueira ao longo do Rio Doce, por município. Fundacao Renova PG16_Potencialidade_Pesca_PETRECHOS_EMBARCACOES 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