<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210114</CreaDate>
<CreaTime>11570600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>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.
</idAbs>
<searchKeys>
<keyword>Rio Doce</keyword>
<keyword>1:250.000</keyword>
<keyword>Percepção</keyword>
<keyword>PG16</keyword>
<keyword>pesca</keyword>
</searchKeys>
<idPurp>PG16_Potencialidade_Pesca_PERCEPCAO_PESCADOS
</idPurp>
<idCredit>Fundação Renova</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>PG16_Potencialidade_Pesca_PERCEPCAO_PESCADOS</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
