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		<isbn>978-85-17-00088-1</isbn>
		<label>61652</label>
		<citationkey>Santiago:2017:ApMoDi</citationkey>
		<title>Aplicação do modelo de distribuição potencial de Platypodium elegans Vogel na delimitação das Florestas Estacionais na Mata Atlântica</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1391 KiB</size>
		<author>Santiago, Anderson Ribeiro,</author>
		<electronicmailaddress>anderson.santiago@usp.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>4414-4420</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The purpose was evaluate the efficiency the distribuition model of Platypodium elegans Vogel in the mapping of seasonal forests in Atlantic Forest, we elaborate in an area, between the parallels 15o06'' and 20o55'' south and the meridians 35o03'' and 42o57'' Wgr, the model of the distribution this specie for subsequent inference to the Atlantic Forest biome. In this procedure, we used the following environmental layers: altimetry, slope, aspect, annual precipitation, precipitation of driest month, precipitation of wettest quarter and 24 points naturally occurring this specie.   The results were evaluated from AUC 0.77± 0.07 and comparing the occurrence map of the specie (model) with the distribution of seasonal forest, in Paranapanema chart. The distribuition model of Platypodium elegans Vogel predicted 56% of the area mapped as seasonal forest, that denotes the acceptable efficiency of model to predict the naturally occurring areas this forest type.</abstract>
		<area>SRE</area>
		<type>Modelagem espacial</type>
		<language>pt</language>
		<targetfile>61652.pdf</targetfile>
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		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.27.13.48</url>
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