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RESEARCH ARTICLE (Open Access)
Contents Vol 52(5)

Factors affecting the detection probability of a critically endangered flying-fox: consequences for monitoring and conservation

A. Dorrestein https://orcid.org/0000-0003-3165-6603 A B * , H. P. R. Rust C D , N. A. Macgregor https://orcid.org/0000-0002-7995-0230 E F , B. Tiernan G , A. Jankowski G , J. C. Z. Woinarski https://orcid.org/0000-0002-1712-9500 H , D. J. James I , S. Flakus G , M. Schulz J , S. Pahor G K , A. Mann L , B. Desmond E and J. A. Welbergen A
+ Author Affiliations
- Author Affiliations

A The Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia.

B School of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.

C Faunatech, Sydney, NSW, Australia.

D School of Life Sciences, University of Adelaide, Adelaide, SA, Australia.

E Parks Australia, Canberra, ACT, Australia.

F Durrell Institute of Conservation and Ecology (DICE), School of Anthropology and Conservation, University of Kent, Canterbury, Kent, UK.

G Parks Australia, Christmas Island, WA, Australia.

H RIEL, Charles Darwin University, Darwin, NT, Australia.

I Birdbrain Enterprises, Peakhurst, NSW, Australia.

J Environmental Consultant, Sydney, NSW, Australia.

K Effective Conservation Outcomes, Hobart, Tas, Australia.

L TasTAFE, Hobart, Tas, Australia.

* Correspondence to: dorresteinannabel@gmail.com

Handling Editor: Shannon Dundas

Wildlife Research 52, WR24030 https://doi.org/10.1071/WR24030
Submitted: 11 March 2024  Accepted: 21 March 2025  Published: 17 April 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

Monitoring is crucial for understanding population trends of threatened species and for assessing the effectiveness of conservation efforts. However, population monitoring is subject to detection probabilities that can vary across factors such as time, type of vegetation cover, weather conditions and observer.

Aims

In this study, we investigated the impact of environmental factors (e.g. wind and rain), spatiotemporal factors (e.g. time of night and geographical location) and observer variability, on the detection probability of Pteropus natalis (Christmas Island flying-fox), a critically endangered species that has been monitored across its single (135 km2) island range since 2006, by using active aural and visual detection of foraging individuals.

Methods

Surveys were conducted at four visits to 133 sites across Christmas Island, representing the environmental variation of the island, over a 2-month survey period. The survey was conducted in 9 years between 2006 and 2022.

Key results

Variable importance analysis showed that distance from the coast, year, and time of night were key predictors of P. natalis detection probability. Detection probability was higher on calmer nights, suggesting higher flying-fox activity or better sound transmission. Detection probability was also higher near roosts earlier and later in the night, indicating that P. natalis gradually moves away from and returns to roosts over the night. Detection probabilities varied between 2012 and 2022 across vegetation types, potentially reflecting changes in diet or phenology. Experienced observers were more likely to detect P. natalis, likely due to familiarity with their vocalisations or visual cues. Analyses excluding environmental and spatiotemporal factors suggested a slight increase in detections since 2012; however, once these factors were included, a significant decrease in detection probability between 2019 and 2022 emerged.

Conclusions

Our findings highlighted how environmental and spatiotemporal factors can affect detection probability and, consequently, survey results of a mobile, threatened small-island endemic.

Implications

This study demonstrated the importance of considering environmental and spatiotemporal factors when designing a monitoring program and, in subsequent analysis, to maximise the accuracy and precision of estimates derived from monitoring programs.

Keywords: bats, conservation management, detection probability, flying-foxes, island fauna, observer bias, observer variability, population monitoring, Pteropus.

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