<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>6</volume><submitter>Belant JL</submitter><pubmed_abstract>Declining populations of large carnivores worldwide, and the complexities of managing human-carnivore conflicts, require accurate population estimates of large carnivores to promote their long-term persistence through well-informed management We used N-mixture models to estimate lion (Panthera leo) abundance from call-in and track surveys in southeastern Serengeti National Park, Tanzania. Because of potential habituation to broadcasted calls and social behavior, we developed a hierarchical observation process within the N-mixture model conditioning lion detectability on their group response to call-ins and individual detection probabilities. We estimated 270 lions (95% credible interval = 170-551) using call-ins but were unable to estimate lion abundance from track data. We found a weak ne</pubmed_abstract><journal>Scientific reports</journal><pagination>35920</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5082374</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Estimating Lion Abundance using N-mixture Models for Social Species.</pubmed_title><pmcid>PMC5082374</pmcid><pubmed_authors>Belant JL</pubmed_authors><pubmed_authors>Mwampeta SB</pubmed_authors><pubmed_authors>Fyumagwa R</pubmed_authors><pubmed_authors>Bled F</pubmed_authors><pubmed_authors>Beyer DE</pubmed_authors><pubmed_authors>Wilton CM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Estimating Lion Abundance using N-mixture Models for Social Species.</name><description>Declining populations of large carnivores worldwide, and the complexities of managing human-carnivore conflicts, require accurate population estimates of large carnivores to promote their long-term persistence through well-informed management We used N-mixture models to estimate lion (Panthera leo) abundance from call-in and track surveys in southeastern Serengeti National Park, Tanzania. Because of potential habituation to broadcasted calls and social behavior, we developed a hierarchical observation process within the N-mixture model conditioning lion detectability on their group response to call-ins and individual detection probabilities. We estimated 270 lions (95% credible interval = 170-551) using call-ins but were unable to estimate lion abundance from track data. We found a weak ne</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Oct</publication><modification>2025-04-27T01:51:55.737Z</modification><creation>2019-03-27T02:27:38Z</creation></dates><accession>S-EPMC5082374</accession><cross_references><pubmed>27786283</pubmed><doi>10.1038/srep35920</doi></cross_references></HashMap>