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<front>
<journal-meta>
<journal-id journal-id-type="publisher">HESS</journal-id>
<journal-title-group>
<journal-title>Hydrology and Earth System Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">HESS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Hydrol. Earth Syst. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1607-7938</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/hess-18-4897-2014</article-id>
<title-group>
<article-title>Climate change and stream temperature projections in the Columbia River basin: habitat implications of spatial variation in hydrologic drivers</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ficklin</surname>
<given-names>D. L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Barnhart</surname>
<given-names>B. L.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Knouft</surname>
<given-names>J. H.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stewart</surname>
<given-names>I. T.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Maurer</surname>
<given-names>E. P.</given-names>
<ext-link>https://orcid.org/0000-0001-7134-487X</ext-link>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Letsinger</surname>
<given-names>S. L.</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Whittaker</surname>
<given-names>G. W.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Geography, Indiana University, 701 E. Kirkwood Ave., Bloomington, IN 47405, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Agricultural Research Service, United States Department of Agriculture, 3450 SW Campus Way, Corvallis, OR 97333, USA</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Biology, Saint Louis University, 3507 Laclede Ave., St. Louis, MO 63103, USA</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Center for Environmental Sciences, Saint Louis University, 3507 Laclede Ave., St. Louis, MO 63103, USA</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Department of Environmental Studies and Sciences, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>Civil Engineering Department, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA</addr-line>
</aff>
<aff id="aff7">
<label>7</label>
<addr-line>Center for Geospatial Data Analysis, Indiana Geological Survey, 611 N. Walnut Grove, Bloomington, IN 47405, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>08</day>
<month>12</month>
<year>2014</year>
</pub-date>
<volume>18</volume>
<issue>12</issue>
<fpage>4897</fpage>
<lpage>4912</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2014 D. L. Ficklin et al.</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://hess.copernicus.org/articles/18/4897/2014/hess-18-4897-2014.html">This article is available from https://hess.copernicus.org/articles/18/4897/2014/hess-18-4897-2014.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/18/4897/2014/hess-18-4897-2014.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/18/4897/2014/hess-18-4897-2014.pdf</self-uri>
<abstract>
<p>Water temperature is a primary physical factor regulating the persistence
and distribution of aquatic taxa. Considering projected increases in air
temperature and changes in precipitation in the coming century, accurate
assessment of suitable thermal habitats in freshwater systems is critical for
predicting aquatic species&apos; responses to changes in climate and for guiding
adaptation strategies. We use a hydrologic model coupled with a stream
temperature model and downscaled general circulation model outputs to
explore the spatially and temporally varying changes in stream temperature
for the late 21st century at the subbasin and ecological province scale
for the Columbia River basin (CRB). On average, stream temperatures are projected
to increase 3.5 °C for the spring, 5.2 °C for the
summer, 2.7 °C for the fall, and 1.6 °C for the
winter. While results indicate changes in stream temperature are correlated
with changes in air temperature, our results also capture the important, and
often ignored, influence of hydrological processes on changes in stream
temperature. Decreases in future snowcover will result in increased thermal
sensitivity within regions that were previously buffered by the cooling
effect of flow originating as snowmelt. Other hydrological components, such
as precipitation, surface runoff, lateral soil water flow, and groundwater
inflow, are negatively correlated to increases in stream temperature
depending on the ecological province and season. At the ecological province
scale, the largest increase in annual stream temperature was within the
Mountain Snake ecological province, which is characterized by migratory
coldwater fish species. Stream temperature changes varied seasonally with
the largest projected stream temperature increases occurring during the
spring and summer for all ecological provinces. Our results indicate that
stream temperatures are driven by local processes and ultimately require a
physically explicit modeling approach to accurately characterize the habitat
regulating the distribution and diversity of aquatic taxa.</p>
</abstract>
<counts><page-count count="16"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>U.S. Environmental Protection Agency</funding-source>
<award-id>RD-83419101-0</award-id>
</award-group>
<award-group id="gs2">
<funding-source>U.S. Environmental Protection Agency</funding-source>
<award-id>DEB-0844644</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
<body/>
<back>
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