ArticleEcology and evolution2015
Unmanned Aircraft Systems complement biologging in spatial ecology studies.
Article in Ecology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review.PloS one · 2017Pooled it
- Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping.Briefings in functional genomics · 2025Review
- Article
- A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking.Current zoology · 2023Article
- Measuring disturbance at swift breeding colonies due to the visual aspects of a drone: a quasi-experiment study.Current zoology · 2021Article
- Animal Welfare Implications of Digital Tools for Monitoring and Management of Cattle and Sheep on Pasture.Animals : an open access journal from MDPI · 2021Review
- Long-Term Determinants of Tuberculosis in the Ungulate Host Community of Doñana National Park.Pathogens (Basel, Switzerland) · 2020Article
- Bears habituate to the repeated exposure of a novel stimulus, unmanned aircraft systems.Conservation physiology · 2019Article
- Article
- Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.Sensors (Basel, Switzerland) · 2016Article
- Unmanned Aircraft Systems complement biologging in spatial ecology studies.Ecology and evolution · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The knowledge about the spatial ecology and distribution of organisms is important for both basic and applied science. Biologging is one of the most popular methods for obtaining information about spatial distribution of animals, but requires capturing the animals and is often limited by costs and data retrieval. Unmanned Aircraft Systems (UAS) have proven their efficacy for wildlife surveillance and habitat monitoring, but their potential contribution to the prediction of animal distribution patterns and abundance has not been thoroughly evaluated. In this study, we assess the usefulness of UAS overflights to (1) get data to model the distribution of free-ranging cattle for a comparison with results obtained from biologged (GPS-GSM collared) cattle and (2) predict species densities for a comparison with actual density in a protected area. UAS and biologging derived data models provided similar distribution patterns. Predictions from the UAS model overestimated cattle densities, which may be associated with higher aggregated distributions of this species. Overall, while the particular researcher interests and species characteristics will influence the method of choice for each study, we demonstrate here that UAS constitute a noninvasive methodology able to provide accurate spatial data useful for ecological research, wildlife management and rangeland planning.
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