Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
Proc Biol Sci ; 285(1877)2018 04 25.
Article in English | MEDLINE | ID: mdl-29695443

ABSTRACT

Although leopards are the most widespread of all the big cats and are known for their adaptability, they are elusive and little is known in detail about their movement and hunting energetics. We used high-resolution GPS/IMU (inertial measurement unit) collars to record position, activity and the first high-speed movement data on four male leopards in the Okavango Delta, an area with high habitat diversity and habitat fragmentation. Leopards in this study were generally active and conducted more runs during the night, with peaks in activity and number of runs in the morning and evening twilight. Runs were generally short (less than 100 m) and relatively slow (maximum speed 5.3 m s-1, mean of individual medians) compared to other large predators. Average daily travel distance was 11 km and maximum daily travel distance was 29 km. No direct correlation was found between average daily temperature and travel distance or between season and travel distance. Total daily energy requirements based on locomotor cost and basal metabolic rate varied little between individuals and over time. This study provides novel insights into movement patterns and athletic performance of leopards through quantitative high-resolution measurement of the locomotor, energetic, spatial and temporal movement characteristics. The results are unbiased by methodological and observational limitations characteristic of previous studies and demonstrate the utility of applying new technologies to field studies of elusive nocturnal species.


Subject(s)
Energy Metabolism , Movement , Panthera/physiology , Territoriality , Animals , Botswana , Geographic Information Systems , Male , Physical Conditioning, Animal , Running , Spatial Analysis
2.
Nature ; 554(7691): 183-188, 2018 02 08.
Article in English | MEDLINE | ID: mdl-29364874

ABSTRACT

The fastest and most manoeuvrable terrestrial animals are found in savannah habitats, where predators chase and capture running prey. Hunt outcome and success rate are critical to survival, so both predator and prey should evolve to be faster and/or more manoeuvrable. Here we compare locomotor characteristics in two pursuit predator-prey pairs, lion-zebra and cheetah-impala, in their natural savannah habitat in Botswana. We show that although cheetahs and impalas were universally more athletic than lions and zebras in terms of speed, acceleration and turning, within each predator-prey pair, the predators had 20% higher muscle fibre power than prey, 37% greater acceleration and 72% greater deceleration capacity than their prey. We simulated hunt dynamics with these data and showed that hunts at lower speeds enable prey to use their maximum manoeuvring capacity and favour prey survival, and that the predator needs to be more athletic than its prey to sustain a viable success rate.


Subject(s)
Acinonyx/psychology , Equidae/physiology , Lions/physiology , Predatory Behavior/physiology , Ruminants/physiology , Acceleration , Animals , Botswana , Female , Male , Muscle, Skeletal/physiology , Running/physiology
3.
J Exp Biol ; 220(Pt 3): 341-346, 2017 02 01.
Article in English | MEDLINE | ID: mdl-27811292

ABSTRACT

Changes in stride frequency and length with speed are key parameters in animal locomotion research. They are commonly measured in a laboratory on a treadmill or by filming trained captive animals. Here, we show that a clustering approach can be used to extract these variables from data collected by a tracking collar containing a GPS module and tri-axis accelerometers and gyroscopes. The method enables stride parameters to be measured during free-ranging locomotion in natural habitats. As it does not require labelled data, it is particularly suitable for use with difficult to observe animals. The method was tested on large data sets collected from collars on free-ranging lions and African wild dogs and validated using a domestic dog.


Subject(s)
Animals, Wild/physiology , Dogs/physiology , Lions/physiology , Locomotion , Accelerometry , Animals , Cluster Analysis , Ecosystem , Female , Gait , Geographic Information Systems , Machine Learning , Male
SELECTION OF CITATIONS
SEARCH DETAIL
...