<?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>Gopal Bhatt</dc:contributor>
  <dc:contributor>Gary W. Shenk</dc:contributor>
  <dc:contributor>Lewis C. Linker</dc:contributor>
  <dc:creator>Isabella Bertani</dc:creator>
  <dc:date>2022</dc:date>
  <dc:description>&lt;div class="abstract-group"&gt;&lt;div class="article-section__content en main"&gt;&lt;p&gt;&lt;span&gt;Excessive nitrogen (N) inputs to coastal waters can lead to severe eutrophication and different chemical forms of N exhibit varying levels of effectiveness in fueling primary production. Efforts to mitigate N fluxes from coastal watersheds are often guided by models that predict changes in N loads as a function of changes in land use, management practices, and climate. However, relatively little is known on the impacts of such changes on the relative fractions of different N forms. We leveraged a long-term dataset of N loads from over 100 river stations to investigate how the&amp;nbsp;&lt;/span&gt;&lt;img class="section_image" src="https://onlinelibrary.wiley.com/cms/asset/a3d9d6cf-c64f-4441-b62f-40caf3f469d4/jawr12951-math-0001.png" alt="urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0001" data-mce-src="https://onlinelibrary.wiley.com/cms/asset/a3d9d6cf-c64f-4441-b62f-40caf3f469d4/jawr12951-math-0001.png"&gt;&lt;span&gt;&amp;nbsp;fraction, that is, the ratio of&amp;nbsp;&lt;/span&gt;&lt;img class="section_image" src="https://onlinelibrary.wiley.com/cms/asset/4a4f01f2-11c1-425a-91e5-bd866e82536c/jawr12951-math-0002.png" alt="urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0002" data-mce-src="https://onlinelibrary.wiley.com/cms/asset/4a4f01f2-11c1-425a-91e5-bd866e82536c/jawr12951-math-0002.png"&gt;&lt;span&gt;&amp;nbsp;to total N (&lt;/span&gt;&lt;img class="section_image" src="https://onlinelibrary.wiley.com/cms/asset/b3f3cd5d-5897-4631-987e-94311a21e62d/jawr12951-math-0003.png" alt="urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0003" data-mce-src="https://onlinelibrary.wiley.com/cms/asset/b3f3cd5d-5897-4631-987e-94311a21e62d/jawr12951-math-0003.png"&gt;&lt;span&gt;/TN), changes as a function of spatio-temporal changes in TN loads in the Chesapeake Bay watershed. We built a hierarchical model that separates the response of&amp;nbsp;&lt;/span&gt;&lt;img class="section_image" src="https://onlinelibrary.wiley.com/cms/asset/7acf019a-c0c3-44ea-88c7-1554299a59e4/jawr12951-math-0004.png" alt="urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0004" data-mce-src="https://onlinelibrary.wiley.com/cms/asset/7acf019a-c0c3-44ea-88c7-1554299a59e4/jawr12951-math-0004.png"&gt;&lt;span&gt;&amp;nbsp;to changes in TN load occurring at different scales:&amp;nbsp;&lt;/span&gt;&lt;i&gt;Across&lt;/i&gt;&lt;span&gt;&amp;nbsp;river stations, where differences in TN loads are largely driven by spatial differences in anthropogenic inputs, and&amp;nbsp;&lt;/span&gt;&lt;i&gt;within&lt;/i&gt;&lt;span&gt;&amp;nbsp;stations, where inter-annual variability in hydrology is a key driver of changes in TN loads. Results suggest that while increases in TN loads resulting from changes in anthropogenic inputs lead to an increase in the&amp;nbsp;&lt;/span&gt;&lt;img class="section_image" src="https://onlinelibrary.wiley.com/cms/asset/98b998f4-da5a-4ea9-9d5c-805351d51cc8/jawr12951-math-0005.png" alt="urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0005" data-mce-src="https://onlinelibrary.wiley.com/cms/asset/98b998f4-da5a-4ea9-9d5c-805351d51cc8/jawr12951-math-0005.png"&gt;&lt;span&gt;&amp;nbsp;fraction, a decrease in the&amp;nbsp;&lt;/span&gt;&lt;img class="section_image" src="https://onlinelibrary.wiley.com/cms/asset/6125f6b3-ed31-4b86-a896-4a020811de27/jawr12951-math-0006.png" alt="urn:x-wiley:1093474X:media:jawr12951:jawr12951-math-0006" data-mce-src="https://onlinelibrary.wiley.com/cms/asset/6125f6b3-ed31-4b86-a896-4a020811de27/jawr12951-math-0006.png"&gt;&lt;span&gt;&amp;nbsp;fraction may occur when increases in TN loads are driven by increased streamflow. These results are especially relevant in watersheds that may experience changes in N loads due to both management decisions and climate-driven changes in hydrology.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1111/1752-1688.12951</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Wiley</dc:publisher>
  <dc:title>Quantifying the response of nitrogen speciation to hydrology in the Chesapeake Bay Watershed using a multilevel modeling approach</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>