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<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>C. C. Swanson</dc:contributor>
  <dc:contributor>C.N. Jacques</dc:contributor>
  <dc:contributor>R. W. Klaver</dc:contributor>
  <dc:contributor>T.J. Brinkman</dc:contributor>
  <dc:contributor>B.M. Burris</dc:contributor>
  <dc:contributor>C.S. Deperno</dc:contributor>
  <dc:contributor>J.A. Jenks</dc:contributor>
  <dc:creator>T.W. Grovenburg</dc:creator>
  <dc:date>2011</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Understanding the influence of intrinsic (e.g., age, birth mass, and sex) and habitat factors on survival of neonate white-tailed deer improves understanding of population ecology. During 2002–2004, we captured and radiocollared 78 neonates in eastern South Dakota and southwestern Minnesota, of which 16 died before 1 September. Predation accounted for 80% of mortality; the remaining 20% was attributed to starvation. Canids (coyotes [&lt;/span&gt;&lt;i&gt;Canis latrans&lt;/i&gt;&lt;span&gt;], domestic dogs) accounted for 100% of predation on neonates. We used known fate analysis in Program MARK to estimate survival rates and investigate the influence of intrinsic and habitat variables on survival. We developed 2 a priori model sets, including intrinsic variables (model set 1) and habitat variables (model set 2; forested cover, wetlands, grasslands, and croplands). For model set 1, model {&lt;/span&gt;&lt;i&gt;S&lt;/i&gt;&lt;sub&gt;age-interval&lt;/sub&gt;&lt;span&gt;} had the lowest AIC&lt;/span&gt;&lt;sub&gt;&lt;i&gt;c&lt;/i&gt;&lt;/sub&gt;&lt;span&gt; (Akaike's information criterion for small sample size) value, indicating that age at mortality (3-stage age-interval: 0–2 weeks, 2–8 weeks, and &amp;gt;8 weeks) best explained survival. Model set 2 indicated that habitat variables did not further influence survival in the study area; β-estimates and 95% confidence intervals for habitat variables in competing models encompassed zero; thus, we excluded these models from consideration. Overall survival rate using model {&lt;/span&gt;&lt;i&gt;S&lt;/i&gt;&lt;sub&gt;age-interval&lt;/sub&gt;&lt;span&gt;} was 0.87 (95% CI = 0.83–0.91); 61% of mortalities occurred at 0–2 weeks of age, 26% at 2–8 weeks of age, and 13% at &amp;gt;8 weeks of age. Our results indicate that variables influencing survival may be area specific. Region-specific data are needed to determine influences of intrinsic and habitat variables on neonate survival before wildlife managers can determine which habitat management activities influence neonate populations. &lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1002/jwmg.20</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Wiley</dc:publisher>
  <dc:title>Survival of white-tailed deer neonates in Minnesota and South Dakota</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>