TY - JOUR
T1 - A model for the noninvasive, habitat-inclusive estimation of upper limit abundance for synanthropes, exemplified by M. fascicularis
AU - Koch Liston, André L.
AU - Zhu, Xueying
AU - Bang, Tran V.
AU - Phiapalath, Phaivanh
AU - Hun, Seiha
AU - Ahmed, Tanvir
AU - Hasan, Sabit
AU - Biswas, Sajib
AU - Nath, Shimul
AU - Ahmed, Toufique
AU - Ilham, Kurnia
AU - Lwin, Ngwe
AU - Frechette, Jackson L.
AU - Hon, Naven
AU - Agger, Cain
AU - Ai, Suzuki
AU - Auda, Emeline
AU - Gazagne, Eva
AU - Kamler, Jan F.
AU - Groenenberg, Milou
AU - Banet-Eugene, Sarah
AU - Challis, Neil
AU - Vibol, Neth
AU - Leroux, Nicole
AU - Sinovas, Pablo
AU - Reaksmey, Sophatt
AU - Muñoz, Vanessa H.
AU - Lappan, Susan
AU - Zainol, Zaki
AU - Albanese, Valeria
AU - Alexiadou, Athanasia
AU - Nielsen, Daniel R.K.
AU - Holzner, Anna
AU - Ruppert, Nadine
AU - Briefer, Elodie F.
AU - Fuentes, Agustin
AU - Hansen, Malene F.
PY - 2024/5/24
Y1 - 2024/5/24
N2 - 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.
AB - 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.
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U2 - 10.1126/sciadv.adn5390
DO - 10.1126/sciadv.adn5390
M3 - Article
C2 - 38787941
SN - 2375-2548
VL - 10
SP - eadn5390
JO - Science advances
JF - Science advances
IS - 21
ER -