{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["6"],"submitter":["Belant JL"],"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"],"journal":["Scientific reports"],"pagination":["35920"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5082374"],"repository":["biostudies-literature"],"pubmed_title":["Estimating Lion Abundance using N-mixture Models for Social Species."],"pmcid":["PMC5082374"],"pubmed_authors":["Belant JL","Mwampeta SB","Fyumagwa R","Bled F","Beyer DE","Wilton CM"],"additional_accession":[]},"is_claimable":false,"name":"Estimating Lion Abundance using N-mixture Models for Social Species.","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","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Oct","modification":"2025-04-27T01:51:55.737Z","creation":"2019-03-27T02:27:38Z"},"accession":"S-EPMC5082374","cross_references":{"pubmed":["27786283"],"doi":["10.1038/srep35920"]}}