Estimating the Abundance of an Endangered Arboreal Marsupial Using Camera Traps and an Integrated Species Distribution Model

Estimates of abundance are fundamental for the management and conservation of threatened species. The Mahogany Glider (<i>Petaurus gracilis</i>) is an Endangered marsupial endemic to the Wet Tropics of northeastern Australia. Despite its status, there is no reliable estimate of abundance. In this study, we conducted camera trapping surveys for the species and employed a Bayesian integrated species distribution model to derive abundance estimates. Presence-absence data from camera trapping surveys and presence-only data from historical sighting records were included in the integrated species distribution model. The model estimated median abundance at 6036, 4834 and 2820 individuals for home range estimates of 9, 16 and 25 ha, respectively. We suggest using the more conservative abundance estimate of about 2800 individuals, based on the 25 ha home range, because it likely best summarizes density across the distribution. Using simulated data, we tested the effects of camera placement and subsampling, demonstrating that clustered camera arrangements and subsampling from aggregation did not significantly affect model outcomes, with predictions primarily dependent on home range estimates. Our survey results suggest considerable spatial variation in glider density across its range. The abundance estimates provide a baseline for future conservation initiatives and highlight the importance of ongoing monitoring and the application of advanced modeling techniques to inform species management.

Authors

Institutions

Publication Details

Journal
Ecology and Evolution
Published
2025-09-01
DOI
https://doi.org/10.1002/ece3.72037
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating the Abundance of an Endangered Arboreal Marsupial Using Camera Traps and an Integrated Species Distribution Model

Yiyin Chang, Conrad J. Hoskin, Chieh Lin
Ecology and Evolution
Wildlife Ecology and Conservation
article

Estimating the Abundance of an Endangered Arboreal Marsupial Using Camera Traps and an Integrated Species Distribution Model

Yiyin Chang, Conrad J. Hoskin, Chieh Lin
article en

Abstract

Estimates of abundance are fundamental for the management and conservation of threatened species. The Mahogany Glider (<i>Petaurus gracilis</i>) is an Endangered marsupial endemic to the Wet Tropics of northeastern Australia. Despite its status, there is no reliable estimate of abundance. In this study, we conducted camera trapping surveys for the species and employed a Bayesian integrated species distribution model to derive abundance estimates. Presence-absence data from camera trapping surveys and presence-only data from historical sighting records were included in the integrated species distribution model. The model estimated median abundance at 6036, 4834 and 2820 individuals for home range estimates of 9, 16 and 25 ha, respectively. We suggest using the more conservative abundance estimate of about 2800 individuals, based on the 25 ha home range, because it likely best summarizes density across the distribution. Using simulated data, we tested the effects of camera placement and subsampling, demonstrating that clustered camera arrangements and subsampling from aggregation did not significantly affect model outcomes, with predictions primarily dependent on home range estimates. Our survey results suggest considerable spatial variation in glider density across its range. The abundance estimates provide a baseline for future conservation initiatives and highlight the importance of ongoing monitoring and the application of advanced modeling techniques to inform species management.

Ecology and EvolutionVol. 15(9)
James Cook University (AU)
Holsworth Wildlife Research Endowment, James Cook University, Queensland Parks and Wildlife Service
Openalex Percentile: Top 77%
Wildlife Ecology and Conservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.