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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>Alan L. Flint</dc:contributor>
  <dc:contributor>Cho-ying Huang</dc:contributor>
  <dc:contributor>Lorraine E. Flint</dc:contributor>
  <dc:contributor>Joseph A. Berry</dc:contributor>
  <dc:contributor>Frank W. Davis</dc:contributor>
  <dc:contributor>John S. Sperry</dc:contributor>
  <dc:contributor>Christopher B. Field</dc:contributor>
  <dc:creator>William R.L. Anderegg</dc:creator>
  <dc:date>2015</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;The projected responses of forest ecosystems to warming and drying associated with twenty-first-century climate change vary widely from resiliency to widespread tree mortality&lt;/span&gt;&lt;sup&gt;&lt;a id="ref-link-2" title="Cox, P. M. et al. Amazonian forest dieback under climate-carbon cycle projections for the 21st century. Theor. Appl. Clim. 78, 137-156 (2004)." href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref1" data-mce-href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref1"&gt;1&lt;/a&gt;, &lt;a id="ref-link-3" title="Scholze, M., Knorr, W., Arnell, N. W. &amp;amp; Prentice, I. C. A climate-change risk analysis for world ecosystems. Proc. Natl Acad. Sci. USA 103, 13116-13120 (2006)." href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref2" data-mce-href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref2"&gt;2&lt;/a&gt;, &lt;a id="ref-link-4" title="Huntingford, C. et al. Simulated resilience of tropical rainforests to CO2-induced climate change. Nature Geosci. 6, 268-273 (2013)." href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref3" data-mce-href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref3"&gt;3&lt;/a&gt;&lt;/sup&gt;&lt;span&gt;. Current vegetation models lack the ability to account for mortality of overstorey trees during extreme drought owing to uncertainties in mechanisms and thresholds causing mortality&lt;/span&gt;&lt;sup&gt;&lt;a id="ref-link-5" title="McDowell, N. G. et al. The interdependence of mechanisms underlying climate-driven vegetation mortality. Trends Ecol. Evol. 26, 523-532 (2011)." href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref4" data-mce-href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref4"&gt;4&lt;/a&gt;, &lt;a id="ref-link-6" title="Powell, T. L. et al. Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. New Phytol. 200, 350-365 (2013)." href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref5" data-mce-href="http://www.nature.com/ngeo/journal/v8/n5/full/ngeo2400.html#ref5"&gt;5&lt;/a&gt;&lt;/sup&gt;&lt;span&gt;. Here we assess the causes of tree mortality, using field measurements of branch hydraulic conductivity during ongoing mortality in &lt;/span&gt;&lt;i&gt;Populus tremuloides&lt;/i&gt;&lt;span&gt; in the southwestern United States and a detailed plant hydraulics model. We identify a lethal plant water stress threshold that corresponds with a loss of vascular transport capacity from air entry into the xylem. We then use this hydraulic-based threshold to simulate forest dieback during historical drought, and compare predictions against three independent mortality data sets. The hydraulic threshold predicted with 75% accuracy regional patterns of tree mortality as found in field plots and mortality maps derived from Landsat imagery. In a high-emissions scenario, climate models project that drought stress will exceed the observed mortality threshold in the southwestern United States by the 2050s. Our approach provides a powerful and tractable way of incorporating tree mortality into vegetation models to resolve uncertainty over the fate of forest ecosystems in a changing&amp;nbsp;climate.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1038/NGEO2400</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Nature Publishing Group</dc:publisher>
  <dc:title>Tree mortality predicted from drought-induced vascular damage</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>