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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>Grace Avalos</dc:contributor>
  <dc:contributor>Cameron J. Garland</dc:contributor>
  <dc:contributor>Regina Trott</dc:contributor>
  <dc:contributor>Olivia Hager</dc:contributor>
  <dc:contributor>Mark J. Hepner</dc:contributor>
  <dc:contributor>Clayton D. Raines</dc:contributor>
  <dc:contributor>Karen Goodell</dc:contributor>
  <dc:creator>Rodney T. Richardson</dc:creator>
  <dc:date>2025</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Terrestrial environmental DNA (eDNA) techniques have been proposed as a means of sensitive, non-lethal pollinator monitoring. To date, however, no studies have provided evidence that eDNA methods can achieve detection densities on par with traditional pollinator surveys. Using a large-scale dataset of eDNA and corresponding net surveys, we show that eDNA methods enable sensitive, species-level characterization of whole bumble bee communities, including rare and critically endangered species such as the rusty pathed bumble bee (RPBB;&amp;nbsp;&lt;/span&gt;&lt;i&gt;Bombus affinis&lt;/i&gt;&lt;span&gt;). All species present in netting surveys were detected within eDNA surveys, apart from two rare species in the socially parasitic subgenus&amp;nbsp;&lt;/span&gt;&lt;i&gt;Psithyrus&lt;/i&gt;&lt;span&gt;&amp;nbsp;(cuckoo bumble bees). Further, for rare non-parasitic species, eDNA methods exhibited similar sensitivity relative to traditional netting. Relative to flower eDNA samples, sequenced field negative controls resulted in significantly lower rates of&amp;nbsp;&lt;/span&gt;&lt;i&gt;Bombus&lt;/i&gt;&lt;span&gt;&amp;nbsp;detection, and these detections were likely attributable to high rates of background eDNA on environmental surfaces. Lastly, we found that eDNA-based frequency of detection across replicate surveys was strongly associated with net-based measures of abundance across site visits. We conclude that the method is cost-effective and highly scalable for semi-quantitative characterization of at-risk bumble bee communities, providing a new approach for improving our understanding of species habitat associations.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1101/2025.05.13.649340</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>BioRxiv</dc:publisher>
  <dc:title>Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees</dc:title>
  <dc:type>text</dc:type>
</oai_dc:dc>