ArticleScientific reports2018
A state-space modelling approach to wildlife monitoring with application to flying-fox abundance.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Longitudinal Survey of Pathogenic Leptospira Species at a Major Park in Sydney, Australia.EcoHealth · 2026Article
- Understanding and Predicting Population Response to Anthropogenic Disturbance: Current Approaches and Novel Opportunities.Ecology letters · 2025Review
- Population trends in the vulnerable Grey-headed flying-fox, Pteropus poliocephalus; results from a long-term, range-wide study.PloS one · 2024Article
- Conventional wisdom on roosting behavior of Australian flying-foxes-A critical review, and evaluation using new data.Ecology and evolution · 2021Article
- Counting Cats: The integration of expert and citizen science data for unbiased inference of population abundance.Ecology and evolution · 2021Article
- Genetic diversity and population structure in the Ryukyu flying fox inferred from remote sampling in the Yaeyama archipelago.PloS one · 2021Article
- Using weather radar to monitor the number, timing and directions of flying-foxes emerging from their roosts.Scientific reports · 2019Article
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4 authors.
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Abstract
Monitoring flying-foxes is challenging as their extreme mobility produces highly dynamic population processes, considerable logistic difficulty, and variability in estimated population size. We report on methods for inferring population trend for the population of the spectacled flying-fox (Pteropus conspicillatus) in Australia. Monthly monitoring is conducted at all known roost sites across the species' range in the Wet Tropics Region. The proportion of animals in camps varies seasonally and stochastic environmental events appear to be influential. We develop a state-space model that incorporates these processes and enables inference on total population trends and uses early warning analysis to identify the causes of population dynamics. The model suggests that population growth rate is stable in the absence of cyclones, however, cyclones appear to impact on both survival and reproduction. The population recovered after two cyclones but declined after a third. The modelling estimates a population decline over 15 years of c. 75% (mean r = - 0.12yr
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