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Published on: March 6, 2014
Context drives movement patterns in a mobile marine predator
Nicolas Lubitz1,2, Ryan Daly3,4, John D Filmalter4
1Marine Data Technology Hub, College of Science and Engineering, James Cook University, Townsville City, QLD, Australia. nicolas.lubitz@my.jcu.edu.au.
Individual bull sharks exhibit diverse movement patterns influenced by prey availability and environmental changes. These variations, from residency to long-distance migrations, highlight common drivers of behavioral plasticity across species.
Area of Science:
- Marine Biology
- Behavioral Ecology
- Conservation Science
Background:
- Intra-specific variability in movement is common but often overlooked, creating knowledge gaps on its drivers and ecological roles.
- Understanding individual differences in movement is crucial for predicting species' responses to environmental change.
Purpose of the Study:
- To investigate the drivers of variable movement behavior in bull sharks (Carcharhinus leucas) across their distribution.
- To test how resource availability and seasonal environmental changes interact to shape movement patterns.
- To assess potential alterations in movement under future climate change scenarios.
Main Methods:
- Acoustic telemetry of bull sharks and their teleost prey in southern Africa.
- Spatial analysis integrating animal movements with remote-sensing of environmental data.
- Context-focused approach examining movement in relation to life history requirements.
Main Results:
- Bull sharks exhibited varied movement strategies, including residency, small/large-scale movements, and 'leap-frog migrations'.
- High seasonal overlap with prey aggregations was observed in both central and peripheral populations.
- Movement patterns were context-dependent, influenced by environmental factors and prey dynamics.
Conclusions:
- Resource availability and seasonal environmental shifts interact to create predictable yet variable movement behaviors.
- Intra-specific movement variability in bull sharks suggests common underlying drivers across diverse taxa.
- Understanding these patterns is vital for predicting species' adaptability to changing environments.
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