<?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>Michelle I. Hornberger</dc:contributor>
  <dc:contributor>Donald O. Rosenberry</dc:contributor>
  <dc:contributor>Rebecca J. Frus</dc:contributor>
  <dc:contributor>Richard M. Webb</dc:contributor>
  <dc:creator>Sarah M. Elliott</dc:creator>
  <dc:date>2024</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Wildfire substantially alters aquatic ecosystems by inducing moderate to catastrophic physical and chemical changes. However, the relations of environmental and watershed variables that drive those effects are complex. We present a Driver-Factor-Stressor-Effect (DFSE) conceptual framework to assess the current state of the science related to post-wildfire water-quality. We reviewed 64 peer-reviewed papers using the DFSE framework to identify drivers, factors, stressors, and effects associated with each study. A total of five drivers were identified and ranked according to their frequency of occurrence in the literature: atmospheric processes&amp;nbsp;&amp;gt;&amp;nbsp;fire characteristics&amp;nbsp;&amp;gt;&amp;nbsp;ecologic processes and characteristics&amp;nbsp;&amp;gt;&amp;nbsp;land surface characteristics&amp;nbsp;&amp;gt;&amp;nbsp;soil characteristics. Commonly reported stressors include increased nutrients, runoff, and sediment transport. Furthermore, although several different factors have been used at least once to explain water-quality effects, relatively few factors outside of precipitation and fire characteristics are frequently studied. We identified several gaps indicating the need for long-term monitoring, multi-factor studies, consideration of organic contaminants, consideration of groundwater, and inclusion of soil characteristics. This assessment expands on other reviews and meta-analyses by exploring causal linkages between influential variables and overall effects in post-wildfire watersheds. Information gathered from our assessment and the framework itself can be used to inform future monitoring plans and as a guide for modeling efforts focused on better understanding specific processes or to mitigate potential risks of post-wildfire water quality.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1029/2023WR036260</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>American Geophysical Union</dc:publisher>
  <dc:title>A conceptual framework to assess post-wildfire water quality: State of the science and knowledge gaps</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>