A model for the noninvasive, habitat-inclusive estimation of upper limit abundance for synanthropes, exemplified by M. fascicularis

André L. Koch Liston, Xueying Zhu, Tran V. Bang, Phaivanh Phiapalath, Seiha Hun, Tanvir Ahmed, Sabit Hasan, Sajib Biswas, Shimul Nath, Toufique Ahmed, Kurnia Ilham, Ngwe Lwin, Jackson L. Frechette, Naven Hon, Cain Agger, Suzuki Ai, Emeline Auda, Eva Gazagne, Jan F. Kamler, Milou GroenenbergSarah Banet-Eugene, Neil Challis, Neth Vibol, Nicole Leroux, Pablo Sinovas, Sophatt Reaksmey, Vanessa H. Muñoz, Susan Lappan, Zaki Zainol, Valeria Albanese, Athanasia Alexiadou, Daniel R.K. Nielsen, Anna Holzner, Nadine Ruppert, Elodie F. Briefer, Agustin Fuentes, Malene F. Hansen

Research output: Contribution to journalArticlepeer-review

Abstract

Accurately estimating population sizes for free-ranging animals through noninvasive methods, such as camera trap images, remains particularly limited by small datasets. To overcome this, we developed a flexible model for estimating upper limit populations and exemplified it by studying a group-living synanthrope, the long-tailed macaque (Macaca fascicularis). Habitat preference maps, based on environmental and GPS data, were generated with a maximum entropy model and combined with data obtained from camera traps, line transect distance sampling, and direct sightings to produce an expected number of individuals. The mapping between habitat preference and number of individuals was optimized through a tunable parameter ρ (inquisitiveness) that accounts for repeated observations of individuals. Benchmarking against published data highlights the high accuracy of the model. Overall, this approach combines citizen science with scientific observations and reveals the long-tailed macaque populations to be (up to 80%) smaller than expected. The model's flexibility makes it suitable for many species, providing a scalable, noninvasive tool for wildlife conservation.

Original languageAmerican English
Pages (from-to)eadn5390
JournalScience advances
Volume10
Issue number21
DOIs
StatePublished - May 24 2024

ASJC Scopus subject areas

  • General

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