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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>Kevin W. Brinck</dc:contributor>
  <dc:contributor>Richard J. Camp</dc:contributor>
  <dc:contributor>Chris Farmer</dc:contributor>
  <dc:contributor>Sheldon M. Plentovich</dc:contributor>
  <dc:contributor>Paul C. Banko</dc:contributor>
  <dc:creator>P. Marcos Gorresen</dc:creator>
  <dc:date>2016</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Both of the 2 passerines endemic to Nihoa Island, Hawai&amp;lsquo;i, USA&amp;mdash;the Nihoa Millerbird (&lt;/span&gt;&lt;i&gt;Acrocephalus familiaris kingi&lt;/i&gt;&lt;span&gt;) and Nihoa Finch (&lt;/span&gt;&lt;i&gt;Telespiza ultima&lt;/i&gt;&lt;span&gt;)&amp;mdash;are listed as endangered by federal and state agencies. Their abundances have been estimated by irregularly implemented fixed-width strip-transect sampling from 1967 to 2012, from which area-based extrapolation of the raw counts produced highly variable abundance estimates for both species. To evaluate an alternative survey method and improve abundance estimates, we conducted variable-distance point-transect sampling between 2010 and 2014. We compared our results to those obtained from strip-transect samples. In addition, we applied state-space models to derive improved estimates of population size and trends from the legacy time series of strip-transect counts. Both species were fairly evenly distributed across Nihoa and occurred in all or nearly all available habitat. Population trends for Nihoa Millerbird were inconclusive because of high within-year variance. Trends for Nihoa Finch were positive, particularly since the early 1990s. Distance-based analysis of point-transect counts produced mean estimates of abundance similar to those from strip-transects but was generally more precise. However, both survey methods produced biologically unrealistic variability between years. State-space modeling of the long-term time series of abundances obtained from strip-transect counts effectively reduced uncertainty in both within- and between-year estimates of population size, and allowed short-term changes in abundance trajectories to be smoothed into a long-term trend.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1650/CONDOR-15-214.1</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Cooper Ornithological Club</dc:publisher>
  <dc:title>State-space modeling of population sizes and trends in Nihoa Finch and Millerbird</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>