Estimating species distribution from camera trap by-catch data, using jaguarundi (Herpailurus yagouaroundi) as an example

Bart J. Harmsen*, Sara Williams*, Maria Abarca, Francisco Samuel Álvarez Calderón, Daniela Araya-Gamboa, Hefer Daniel Avila, Mariano Barrantes-Núñez, Yaribeth Bravata-de la Cruz, Joleen Broadfield, Valquíria Cabral-Araújo, Ana Patricia Calderón, Franklin Castañeda, Daniel Corrales-Gutiérrez, Bárbara do Couto-Peret Dias, Allison L. Devlin, Barbara I. Escobar-Anleu, Deiver Espinoza-Muñoz, Helen J. Esser, Rebecca J. Foster, Carlos Eduardo FragosoDiana Friedeberg, Luis Alberto Herrera, Mircea G. Hidalgo-Mihart, Rafael Hoogesteijn, Patrick A. Jansen, Włodzimierz Jędrzejewski, Alejandro Jesus-de la Cruz, Domingos de Jesus Rodrigues, Chris A. Jordan, Rugieri Juárez-Lopez, Vanessa Kadosoe, Marcella J. Kelly, Travis W. King, Giulia da Matta Nigro, Darby K.T. McPhail, Ninon Meyer, Andrea Morales-Rivas, Vance Nepomuceno, Rob B. Nipko, Janaina Noronha, Mariana de Oliveira-Vasquez, Paul Ouboter, Evi A.D. Paemelaere, Esteban Payán, Roberto Salom-Pérez, Emma E. Sanchez, Stephanie Santos-Simioni, Krzysztof Schmidt, Diana Stasiukyans, Fernando R. Tortato, Ever Urbina-Ruiz, Gerald R. Urquhart, Wai Ming Wong, Hugh Robinson

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Aim: Planning conservation action requires accurate estimates of abundance and distribution of the target species. For many mammals, particularly those inhabiting tropical forests, there are insufficient data to assess their conservation status. We present a framework for predicting species distribution using jaguarundi (Herpailurus yagouaroundi), a poorly known felid for which basic information on abundance and distribution is lacking. Location: Mesoamerica and South America. Time Period: From 2003 to 2021. Taxa: Herpailurus yagouaroundi. Methods: We combined camera-trap data from multiple sites and used an occupancy modelling framework accounting for imperfect detection to identify habitat associations and predict the range-wide distribution of jaguarundis. Results: Our model predicted that the probability of jaguarundi occupancy is positively associated with rugged terrain, herbaceous cover, and human night-time light intensity. Jaguarundi occupancy was predicted to be higher where precipitation was less seasonal, and at intermediate levels of diurnal temperature range. Our camera data also revealed additional detections of jaguarundis beyond the current International Union for Conservation of Nature (IUCN) range distribution, including the Andean foothills of Colombia and Bolivia. Main Conclusion: Occupancy was predicted to be low throughout much of Amazonian lowlands, a vast area at the centre of jaguarundi known range. Further work is required to investigate whether this area represents sub-optimal conditions for the species. Overall, we estimate a crude global jaguarundi population of 35,000 to 230,000 individuals, covering 4,453,406 km2 of Meso- and South America at the 0.5 probability level of occupancy. Our current framework allows for an initially detailed, well-informed species distribution that should be challenged and refined with improved habitat layers and additional records of jaguarundi detection. We encourage similar studies of lesser-known mammals, pooling existing by-catch data from the growing bank of camera-trap surveys around the world.

Original languageEnglish
Article numbere13831
JournalDiversity and Distributions
Volume30
Issue number10
Early online date12 Apr 2024
DOIs
Publication statusPublished - 2024

Keywords

  • By-catch data
  • Camera trap
  • Felids
  • Neotropics
  • Occupancy modelling
  • Species distribution

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