<?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>Arthur R. Cooper</dc:contributor>
  <dc:contributor>Jared A. Ross</dc:contributor>
  <dc:contributor>Wesley M. Daniel</dc:contributor>
  <dc:contributor>Jack E. Taylor</dc:contributor>
  <dc:contributor>Alina Sargsyan</dc:contributor>
  <dc:contributor>Dana M. Infante</dc:contributor>
  <dc:creator>Hao Yu</dc:creator>
  <dc:date>2026</dc:date>
  <dc:description>&lt;p&gt;&lt;span id="_mce_caret" data-mce-bogus="1" data-mce-type="format-caret"&gt;&lt;span&gt;Identifying habitats that non-native fluvial fishes are likely to invade provides information for proactive management, conservation planning, and understanding the ecology of biological invasions. We identified streams in the conterminous United States with high invasion risk from 20 non-native fluvial fish species. Specifically, we (1) developed habitat suitability models for each species using nine natural and six anthropogenic predictors within nine large ecoregions, identifying the potential invasion hotspots; (2) evaluated the relative importance of natural and anthropogenic predictors for each species; and (3) assessed potential invasion risk to protected stream habitats. Predicted invasion hotspots included much of Florida, coastal regions of Texas and Louisiana, and areas surrounding major metropolitan centers such as Chicago, New York, and Phoenix. Model predictions indicate that goldfish (&lt;/span&gt;&lt;i&gt;Carassius auratus&lt;/i&gt;&lt;span&gt;), pirapitinga (&lt;/span&gt;&lt;i&gt;Piaractus brachypomus&lt;/i&gt;&lt;span&gt;), and pond loach (&lt;/span&gt;&lt;i&gt;Misgurnus anguillicaudatus&lt;/i&gt;&lt;span&gt;) could occupy extensive suitable habitats across the conterminous United States. The most influential natural predictor across species was network catchment area (a surrogate for stream size), while the most influential anthropogenic predictor was human population density. Goldfish were predicted to be present in protected areas across all nine ecoregions, highlighting their high invasion potential. Collectively, our results provide critical information on regions vulnerable to invasion and the species most likely to become established and identify areas at risk of invasion within protected landscapes.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1007/s10530-026-03826-2</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Springer Nature</dc:publisher>
  <dc:title>Identifying potential invasion hotspots for non-native fluvial fishes throughout the conterminous United States</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>