A model for the noninvasive, habitat-inclusive estimation of upper limit abundance for synanthropes, exemplified by <i>M. fascicularis</i>-Reference-Cited by-同舟云学术

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

Published:2024-05-24 Issue:21 Volume:10 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Koch Liston André L.¹²³^ORCID,Zhu Xueying³⁴⁵^ORCID,Bang Tran V.³⁶^ORCID,Phiapalath Phaivanh³,Hun Seiha³⁷^ORCID,Ahmed Tanvir³⁸⁹^ORCID,Hasan Sabit³¹⁰^ORCID,Biswas Sajib³⁸^ORCID,Nath Shimul³⁸^ORCID,Ahmed Toufique³⁸^ORCID,Ilham Kurnia³¹¹¹²^ORCID,Lwin Ngwe¹³^ORCID,Frechette Jackson L.⁷^ORCID,Hon Naven⁷,Agger Cain¹⁴,Ai Suzuki¹⁵¹⁶^ORCID,Auda Emeline¹⁴^ORCID,Gazagne Eva¹⁷^ORCID,Kamler Jan F.¹⁸^ORCID,Groenenberg Milou¹⁹^ORCID,Banet-Eugene Sarah¹⁹^ORCID,Challis Neil³²⁰,Vibol Neth²¹,Leroux Nicole²¹,Sinovas Pablo²²^ORCID,Reaksmey Sophatt²³,Muñoz Vanessa H.²³,Lappan Susan²⁴²⁵^ORCID,Zainol Zaki²⁶,Albanese Valeria³,Alexiadou Athanasia³⁴^ORCID,Nielsen Daniel R. K.³,Holzner Anna³^ORCID,Ruppert Nadine³²⁵²⁶^ORCID,Briefer Elodie F.³⁴^ORCID,Fuentes Agustin¹³^ORCID,Hansen Malene F.¹³⁴²⁷^ORCID

Affiliation:

1. Department of Anthropology, Princeton University, Princeton, NJ, USA.

2. Department of Chemistry, Columbia University, New York, NY, USA.

3. The Long-Tailed Macaque Project, Sorø, Denmark.

4. Behavioural Ecology Group, Department of Biology, University of Copenhagen, Copenhagen, Denmark.

5. School of Human Sciences, University of Western Australia, Perth, Australia.

6. Southern Institute of Ecology, Institute of Applied Material Science, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam.

7. Conservation International, Phnom Penh, Cambodia.

8. Nature Conservation Management, Dhaka, Bangladesh.

9. Deutsches Primatenzentrum GmbH Leibniz-Institut für Primatenforschung, Göttingen, Germany.

10. Isabela Foundation, Dhaka, Bangladesh.

11. Museum of Zoology, Department of Biology, Andalas University, Padang, Indonesia.

12. Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan.

13. Fauna & Flora International Myanmar, Yangon, Myanmar.

14. Wildlife Conservation Society Cambodia, Phnom Penh, Cambodia.

15. Graduate School of Asian and African Area Studies, Kyoto University, Kyoto, Japan.

16. Open Innovation & Collaboration Research Organization, Ritsumeikan University, Kyoto, Japan.

17. Unit of Research SPHERES, University of Liège, Liège, Belgium.

18. Wildlife Conservation Research Unit, University of Oxford, Oxford, UK.

19. World Wide Fund for Nature Cambodia, Phnom Penh, Cambodia.

20. Neil Challis Photography, Kanchanaburi, Thailand.

21. Wildlife Alliance, Phnom Penh, Cambodia.

22. Fauna & Flora International Cambodia, Phnom Penh, Cambodia.

23. Fishing Cat Ecological Enterprise Co. Ltd., Phnom Penh, Cambodia.

24. Department of Anthropology, Appalachian State University, Boone, NC, USA.

25. Malaysian Primatological Society, Kulim, Malaysia.

26. School of Biological Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.

27. Wildlife Trade Research Group, Oxford Brookes University, Oxford, UK.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Link

https://www.science.org/doi/pdf/10.1126/sciadv.adn5390

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