<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2215-2504</journal-id>
<journal-title><![CDATA[Revista Forestal Mesoamericana Kurú]]></journal-title>
<abbrev-journal-title><![CDATA[Kurú]]></abbrev-journal-title>
<issn>2215-2504</issn>
<publisher>
<publisher-name><![CDATA[Instituto Tecnológico de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2215-25042018000200047</article-id>
<article-id pub-id-type="doi">10.18845/rfmk.v15i37.3601</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Determinación de la intensidad de muestreo en inventario forestal continuo en un bosque tropical lluvioso denso, Amazonia Oriental, Brasil]]></article-title>
<article-title xml:lang="en"><![CDATA[Sampling intensity determination for continuous forest inventory, dense ombrophilous forest, Eastern Amazon, Brazil]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Silva-Matos]]></surname>
<given-names><![CDATA[Luiz Marcos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lopes-de-Souza]]></surname>
<given-names><![CDATA[Agostinho]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Breda-Binoti]]></surname>
<given-names><![CDATA[Daniel Henrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fernandes-Filho]]></surname>
<given-names><![CDATA[Elpidio Inácio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Dávila-Vega]]></surname>
<given-names><![CDATA[Andreina Epifanía]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Elera-Gonzáles]]></surname>
<given-names><![CDATA[Duberlí Geomar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[Ana Carolina de Albuquerque]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alves-Corrêa]]></surname>
<given-names><![CDATA[Perez]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Regina-Silva]]></surname>
<given-names><![CDATA[Katia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto de Qualificação Profissional Faculdade de Engenharia de Agrimensura da Bahia ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade Federal de Viçosa Departamento de Engenharia Florestal ]]></institution>
<addr-line><![CDATA[Minas Gerais ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidade Federal de Viçosa Departamento de Solos ]]></institution>
<addr-line><![CDATA[ Minas Gerais]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidade Federal de Viçosa Departamento de Engenharia Florestal ]]></institution>
<addr-line><![CDATA[Minas Gerais ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Orsa Florestal S.A  ]]></institution>
<addr-line><![CDATA[São Paulo ]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<volume>15</volume>
<numero>37</numero>
<fpage>47</fpage>
<lpage>56</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S2215-25042018000200047&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S2215-25042018000200047&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S2215-25042018000200047&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El muestreo optimizado en inventarios forestales permite perfeccionar las tecnologías de manejo forestal sostenible. Se desarrolló una metodología para determinar la intensidad optima de muestreo en inventarios forestales continuos, ajustándolos al principio n° 08 del FSC (Forest Stewardship Council). Datos de un censo con mapeo de árboles con DAP &#8805; 35 cm fueron utilizados. Un simulador de plan de corte que combina un algoritmo genético y un Sistema de Información Geográfica (GIS) fue desarrollado. Diez planes de corte fueron simulados, cinco con intensidad de 22 m3 ha-1 y cinco con 30 m3 ha-1. El área efectiva de explotación forestal fue dividida en 4 690 parcelas (100 x 100 m), en las cuales fueron asignados los árboles mapeados en el censo. En la preparación del algoritmo genético dos enfoques (A y B) fueron considerados. El enfoque A buscó maximizar el número de especies muestreadas con base en las intensidades de muestreo predefinidas 1:1 000, 1:750, 1:500, 1:250 y 1:200. El enfoque B buscó minimizar el número de parcelas permanentes para muestrear todas las especies cosechadas. No fue posible muestrear todas las especies cosechadas utilizando intensidades de muestreo predefinidas. Para cumplir con el Principio n° 08 del FSC, la metodología determinó una intensidad óptima de muestreo de 1:180 y 1:165 para las intensidades de corte de 22 m3 ha-1 y 30 m3 ha-1 respectivamente. No hubo diferencia significativa entre el número de especies cosechadas en las diferentes intensidades de corte.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The optimized sampling in forest inventories allows improving technologies of sustainable forest management. It was developed a methodology to determine the optimum sampling intensity for continuous forest inventories in order to meet the requirement of the Principle 08 of the Forest Stewardship Council (FSC). We used a census data, where trees equal or greater than 35 cm of dbh were measured and mapped. A cutting plan simulator that combines a genetic algorithm and a Geographic Information System (GIS) was developed. Ten plans were simulated, five with a cutting intensity of 22 m3 ha-1 and other five with cutting intensity of 30 m3 ha-1. The effective area of logging was divided into 4 690 plots. During the genetic algorithm implementation, two approaches (A and B) were cosidered. Approach A aimed to maximize the number of sampled species, based on pre-defined sampling intensities of 1:1 000, 1:750, 1:500, 1:250 and 1:200. Approach B, in turn, aimed to minimize the number of permanent plots to sample all harvested species. It was not possible to sample all harvested species using pre-defined sampling intensities. To meet the requirements of FSC 8th Principle, the methodology determined an optimum sampling intensity of 1:180 and 1:165 for cutting intensities of 22 m3 ha-1 and 30 m3 ha-1, respectively. There were no significant differences between the numbers of harvested species in the both cutting intensities.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Algoritmo genético]]></kwd>
<kwd lng="es"><![CDATA[optimización]]></kwd>
<kwd lng="es"><![CDATA[certificación FSC]]></kwd>
<kwd lng="es"><![CDATA[monitoreo forestal]]></kwd>
<kwd lng="en"><![CDATA[Genetic algorithm]]></kwd>
<kwd lng="en"><![CDATA[optimization]]></kwd>
<kwd lng="en"><![CDATA[FSC forest certification]]></kwd>
<kwd lng="en"><![CDATA[forest monitoring]]></kwd>
</kwd-group>
</article-meta>
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