title: The challenge of monitoring elusive large carnivores: An accurate and cost-effective tool to identify and sex pumas (Puma concolor) from footprints.
abstract: Acquiring reliable data on large felid populations is crucial for effective conservation and management. However, large felids, typically solitary, elusive and nocturnal, are difficult to survey. Tagging and following individuals with VHF or GPS technology is the standard approach, but costs are high and these methodologies can compromise animal welfare. Such limitations can restrict the use of these techniques at population or landscape levels. In this paper we describe a robust technique to identify and sex individual pumas from footprints. We used a standardized image collection protocol to collect a reference database of 535 footprints from 35 captive pumas over 10 facilities; 19 females (300 footprints) and 16 males (235 footprints), ranging in age from 1-20 yrs. Images were processed in JMP data visualization software, generating one hundred and twenty three measurements from each footprint. Data were analyzed using a customized model based on a pairwise trail comparison using robust cross-validated discriminant analysis with a Ward's clustering method. Classification accuracy was consistently > 90% for individuals, and for the correct classification of footprints within trails, and > 99% for sex classification. The technique has the potential to greatly augment the methods available for studying puma and other elusive felids, and is amenable to both citizen-science and opportunistic/local community data collection efforts, particularly as the data collection protocol is inexpensive and intuitive.
authors.affiliation: Nicholas School of the Environment, Duke University, Durham, North Carolina, United States of America.|JMP Division, SAS, Cary, North Carolina, United States of America.|Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina, United States of America.
authors.forename: Sky
authors.initials: S
authors.lastname: Alibhai
authors.affiliation: Nicholas School of the Environment, Duke University, Durham, North Carolina, United States of America.|JMP Division, SAS, Cary, North Carolina, United States of America.|Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina, United States of America.
authors.forename: Zoe
authors.identifier: http://orcid.org/0000-0002-4915-7952
authors.initials: Z
authors.lastname: Jewell
authors.affiliation: Texas Parks and Wildlife, Austin, Texas, United States of America.
authors.forename: Jonah
authors.initials: J
authors.lastname: Evans
mesh_terms: D000465:Algorithms; D000818:Animals; D016000:Cluster Analysis; D005260:Female; D005528:Foot; D008297:Male; D010781:Photography; D011156:Population Density; D011159:Population Surveillance; D046011:Puma / Q000033:anatomy & histology / Q000502:physiology*; D012732:Sex Determination Analysis / Q000191:economics* / Q000379:methods*