<?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>J. J. Battles</dc:contributor>
  <dc:contributor>N.L. Stephenson</dc:contributor>
  <dc:contributor>P. J. van Mantgem</dc:contributor>
  <dc:creator>A.J. Das</dc:creator>
  <dc:date>2007</dc:date>
  <dc:description>&lt;div&gt;We examined mortality of&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;span class="named-content" data-type="species"&gt;Abies concolor&lt;/span&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;(Gord. &amp;amp; Glend.) Lindl. (white fir) and&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;span class="named-content" data-type="species"&gt;Pinus lambertiana&lt;/span&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;Dougl. (sugar pine) by developing logistic models using three growth indices obtained from tree rings: average growth, growth trend, and count of abrupt growth declines. For&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;i&gt;P. lambertiana&lt;/i&gt;, models with average growth, growth trend, and count of abrupt declines improved overall prediction (78.6% dead trees correctly classified, 83.7% live trees correctly classified) compared with a model with average recent growth alone (69.6% dead trees correctly classified, 67.3% live trees correctly classified). For&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;i&gt;A. concolor&lt;/i&gt;, counts of abrupt declines and longer time intervals improved overall classification (trees with DBH&amp;nbsp;≥20&amp;nbsp;cm: 78.9% dead trees correctly classified and 76.7% live trees correctly classified vs. 64.9% dead trees correctly classified and 77.9% live trees correctly classified; trees with DBH&amp;nbsp;&amp;lt;20&amp;nbsp;cm: 71.6% dead trees correctly classified and 71.0% live trees correctly classified vs. 67.2% dead trees correctly classified and 66.7% live trees correctly classified). In general, count of abrupt declines improved live-tree classification. External validation of&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;i&gt;A. concolor&lt;/i&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;models showed that they functioned well at stands not used in model development, and the development of size-specific models demonstrated important differences in mortality risk between understory and canopy trees. Population-level mortality-risk models were developed for&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;i&gt;A. concolor&lt;/i&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;and generated realistic mortality rates at two sites. Our results support the contention that a more comprehensive use of the growth record yields a more robust assessment of mortality risk.&lt;/div&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1139/X06-262</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Canadian Science Publishing</dc:publisher>
  <dc:title>The relationship between tree growth patterns and likelihood of mortality: A study of two tree species in the Sierra Nevada</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>