<?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>Philip B. Stark</dc:contributor>
  <dc:contributor>Steven M. Ostoja</dc:contributor>
  <dc:contributor>Roland A. Knapp</dc:contributor>
  <dc:contributor>Heather C. McKenny</dc:contributor>
  <dc:contributor>Matthew L. Brooks</dc:contributor>
  <dc:contributor>William T. Langford</dc:contributor>
  <dc:contributor>Lucas N. Joppa</dc:contributor>
  <dc:contributor>Eric L. Berlow</dc:contributor>
  <dc:creator>John R. Matchett</dc:creator>
  <dc:date>2015</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Statistical models often use observational data to predict phenomena; however, interpreting model terms to understand their influence can be problematic. This issue poses a challenge in species conservation where setting priorities requires estimating influences of potential stressors using observational data. We present a novel approach for inferring influence of a rare stressor on a rare species by blending predictive models with nonparametric permutation tests. We illustrate the approach with two case studies involving rare amphibians in Yosemite National Park, USA. The endangered frog,&lt;span class="Apple-converted-space"&gt;&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;i&gt;Rana sierrae&lt;/i&gt;&lt;span&gt;, is known to be negatively impacted by non-native fish, while the threatened toad,&lt;span class="Apple-converted-space"&gt;&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;i&gt;Anaxyrus canorus&lt;/i&gt;&lt;span&gt;, is potentially affected by packstock. Both stressors and amphibians are rare, occurring in ~10% of potential habitat patches. We first predict amphibian occupancy with a statistical model that includes all predictors but the stressor to stratify potential habitat by predicted suitability. A stratified permutation test then evaluates the association between stressor and amphibian, all else equal. Our approach confirms the known negative relationship between fish and&lt;span class="Apple-converted-space"&gt;&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;i&gt;R. sierrae&lt;/i&gt;&lt;span&gt;, but finds no evidence of a negative relationship between current packstock use and&lt;span class="Apple-converted-space"&gt;&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;i&gt;A. canorus&lt;/i&gt;&lt;span&gt;&lt;span class="Apple-converted-space"&gt;&amp;nbsp;&lt;/span&gt;breeding. Our statistical approach has potential broad application for deriving understanding (not just prediction) from observational data.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1038/srep10702</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Nature Publishing Group</dc:publisher>
  <dc:title>Detecting the influence of rare stressors on rare species in Yosemite National Park using a novel stratified permutation test</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>