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		<isbn>978-85-17-00088-1</isbn>
		<label>59338</label>
		<citationkey>GandraBoneSche:2017:UtMAPr</citationkey>
		<title>Utilização do MARXAN para priorização de áreas de conservação na Zona Econômica-Exclusiva no Sul do Brasil</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Gandra, Tiago Borges Ribeiro,</author>
		<author>Bonetti, Jarbas,</author>
		<author>Scherer, Marinez Garcia,</author>
		<electronicmailaddress>tiago.gandra@riogrande.ifrs.edu.br</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>6186-6193</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Marine Spatial Planning is a public process of analyzing and allocating the spatial and temporal distribution of human activities in marine areas and it must be ecosystem-based, integrated, area-based and strategic. This paper tests a methodology to use MARXAN to integer environmental and human uses data in order to support the Marine Spatial Planning (MSP) in the Economic-Exclusive Zone in Southern Brazil. The human uses were transformed in intensity maps and aggregated in 3 classes (fisheries, oil and gas and navigation), to use as costs in MARXAN. Other datasets (marine turtles, marine mammals, other species, sediment type and euphotic zone depth) were used to indicate areas with higher conservation values. A hexagonal grid of 0.1 degrees wide was used as the planning units (PU). The existing marine and coastal protected areas were added to these PU. Several tests were done to measure the sensitivity of MARXAN parameters, until optimal configuration was found. MARXAN was able to generate an arrangement of areas for conservation (reaching the conservation target) and avoiding high-intensity human use areas. The results show that MARXAN can be used to the prioritization of conservation areas taking into account the reduction of conflicts with human activities.</abstract>
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