Jenna Hounslow

Jenna Hounslow
  • Doctor of Philosophy
  • Postdoctoral Research Fellow at Murdoch University

About

8
Publications
2,874
Reads
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124
Citations
Current institution
Murdoch University
Current position
  • Postdoctoral Research Fellow
Additional affiliations
February 2019 - present
Department of Biodiversity Conservation & Attractions
Position
  • PhD Student & Technical Officer

Publications

Publications (8)
Article
Full-text available
Home range size and metabolic rate of animals are theorized to scale in relation to body mass with similar exponents. This expectation has only been indirectly tested using lab‐derived estimates of basal metabolic rate as proxies for field energy requirements. Therefore, it is unclear if existing theory aligns with observed patterns of home range s...
Article
Full-text available
Conservation of threatened species and anthropogenic threat mitigation commonly rely on spatially managed areas selected according to habitat preference. Since the impact of threats can be behaviour‐specific, such information could be incorporated into spatial management to improve conservation outcomes. However, collecting spatially explicit behav...
Preprint
Full-text available
Home range size and metabolic rate of animals are expected to scale with body mass at similar rates; with home ranges expanding to meet increased metabolic requirements. This expectation has widely been tested using lab-derived estimates of basal metabolic rate as proxies for field energy requirements, however, it is unclear if existing theory alig...
Article
Full-text available
Diving behaviour of ‘surfacers' such as sea snakes, cetaceans and turtles is complex and multi-dimensional, thus may be better captured by multi-sensor biologging data. However, analysing these large multi-faceted datasets remains challenging, though a high priority. We used high-resolution multi-sensor biologging data to provide the first detailed...
Article
Full-text available
Background Tri-axial accelerometers have been used to remotely describe and identify in situ behaviours of a range of animals without requiring direct observations. Datasets collected from these accelerometers (i.e. acceleration, body position) are often large, requiring development of semi-automated analyses to classify behaviours. Marine fishes e...
Article
Full-text available
Predation is a primary selection pressure contributing to both the morphological and behavioral adaptations of organisms (Brodie 1983, Lima and Dill 1990). However, studying the anti‐predator behaviors of aquatic taxa such as sea turtles is currently limited by the difficulty of observing the natural behaviors of free‐ranging individuals at sea (He...
Article
Understanding the behaviours of free-ranging animals over biologically meaningful time scales (e.g., diel, tidal, lunar, seasonal, annual) gives unique insight into their ecology. Bio-logging tools such as accelerometers allow the remote study of elusive or inaccessible animals by recording high resolution movement data. Machine learning (ML) is be...
Article
Full-text available
Two specimens of the marine leech Pontobdella macrothela were found parasitizing the carcharhinid shark, Negaprion acutidens, at St. Joseph Atoll, Amirantes, Republic of Seychelles. This report presents the first record of this piscicolid leech from N. acutidens and is one of the few records of P. macrothela in the West Indian Ocean.

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