<?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>Vitek Jirinec</dc:contributor>
  <dc:contributor>Matthias Leu</dc:contributor>
  <dc:contributor>Jonathon Joseph Valente</dc:contributor>
  <dc:creator>Lucas K. Parvin</dc:creator>
  <dc:date>2026</dc:date>
  <dc:description>&lt;ol class=""&gt;&lt;li&gt;Site occupancy models are widely used to estimate species distributions from presence–nondetection data, yet for mobile animals, the true proportion of sites occupied varies in time. Thus, true occupancy and estimates generated from different protocols are affected by temporal characteristics of survey design.&lt;/li&gt;&lt;li&gt;Here we tested whether we could standardize occupancy estimates across different sampling protocols with a post hoc statistical test. Using an individual-based movement model of Wood Thrush (&lt;i&gt;Hylocichla mustelina&lt;/i&gt;), we simulated point count surveys across 3000 populations under 90 spatially and temporally variable sampling protocols. For each simulation, we fit a standard occupancy model, then used minute-level detections to truncate surveys and generate occupancy estimates across increasing survey lengths. We fit asymptotic models to these series to estimate intercepts (instantaneous occupancy) and asymptotes (longer-term occupancy) and evaluated how well they approximated true instantaneous, daily and seasonal occupancy.&lt;/li&gt;&lt;li&gt;We were unable to recover instantaneous or seasonal occupancy from any approach. Both standard occupancy models and asymptotic regression (the top-performing asymptotic model) most closely approximated daily occupancy; although asymptotic regression produced slightly less biased estimates, it showed substantially greater variability, resulting in greater overall error.&lt;/li&gt;&lt;li&gt;Our results show that post hoc analytical approaches cannot, at present, reliably standardize occupancy estimates across heterogeneous survey designs. Instead, ensuring biologically informative and comparable estimates will depend on standardized survey protocols.&lt;/li&gt;&lt;li&gt;&lt;i&gt;Practical implication&lt;/i&gt;: Monitoring programs using presence–nondetection data should prioritize consistent survey protocols when estimating occupancy for mobile species, with a focus on daily occupancy as the most attainable and useful metric. Although the highest accuracy and precision were achieved under the most intensive survey protocols, for point counts of Wood Thrush and similar species, four consecutive 15–20 min surveys provide near-optimal precision and can be completed in a single visit, making them well suited for estimating relative occupancy under logistical constraints. Three 20-min surveys spaced ~24 h apart closely approximate daily occupancy while maintaining reasonable precision. Developing similar protocols for other species and survey methods will be critical to ensuring comparable occupancy estimates across space and time.&lt;/li&gt;&lt;/ol&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1002/2688-8319.70265</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>British Ecological Society</dc:publisher>
  <dc:title>Survey protocols drive heterogeneity in occupancy estimates that cannot be standardized using post hoc analyses</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>