<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>M. Kery</dc:contributor>
  <dc:creator>M. Trolle</dc:creator>
  <dc:date>2003</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Neotropical felids such as the ocelot (&lt;/span&gt;&lt;i&gt;Leopardus pardalis&lt;/i&gt;&lt;span&gt;) are secretive, and it is difficult to estimate their populations using conventional methods such as radiotelemetry or sign surveys. We show that recognition of individual ocelots from camera-trapping photographs is possible, and we use camera-trapping results combined with closed population capture-recapture models to estimate density of ocelots in the Brazilian Pantanal. We estimated the area from which animals were camera trapped at 17.71 km&lt;/span&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;span&gt;. A model with constant capture probability yielded an estimate of 10 independent ocelots in our study area, which translates to a density of 2.82 independent individuals for every 5 km&lt;/span&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;span&gt;&amp;nbsp;(&lt;/span&gt;&lt;i&gt;SE&lt;/i&gt;&lt;span&gt;&amp;nbsp;1.00).&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1644/1545-1542(2003)084&lt;0607:EOODIT&gt;2.0.CO;2</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Oxford University Press</dc:publisher>
  <dc:title>Estimation of ocelot density in the pantanal using capture-recapture analysis of camera-trapping data</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>