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Abstract
Both sharks and humans present a potentially lethal threat to mesopredatory fishes in coral reef systems, with implications for both population dynamics and the role of mesopredatory fishes in reef ecosystems. This study quantifies the antipredator behaviours mesopredatory fishes exhibit towards the presence of large coral reef carnivores and compares these behavioural responses to those elicited by the presence of snorkelers. Here, we used snorkelers and animated life-size models of the blacktip reef shark (Carcharhinus melanopterus) to simulate potential predatory threats to mesopredatory reef fishes (lethrinids, lutjanids, haemulids and serranids). The responses of these reef fishes to the models and the snorkelers were compared to those generated by three non-threatening controls (life-size models of a green turtle [Chelonia mydas], a PVC-pipe [an object control] and a Perspex shape [a second object control]). A Remote Underwater Stereo-Video System (Stereo-RUV) recorded the approach of the different treatments and controls and allowed accurate measurement of Flight Initiation Distance (FID) and categorization of the type of flight response by fishes. We found that mesopredatory reef fishes had greater FIDs in response to the approach of threatening models (1402 ± 402–1533 ± 171 mm; mean ± SE) compared to the controls (706 ± 151–896 ± 8963 mm). There was no significant difference in FID of mesopredatory fishes between the shark model and the snorkeler, suggesting that these treatments provoked similar levels of predator avoidance behaviour. This has implications for researchers monitoring behaviour in situ or using underwater census as a technique to estimate the abundance of reef fishes. Our study suggests that, irrespective of the degree to which sharks actually consume these mesopredatory reef fishes, they still elicit a predictable and consistent antipredator response that has the potential to create risk effects.
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Details
1 University of Western Australia, School of Biological Sciences, The University of Western Australia Oceans Institute, Crawley, Australia (GRID:grid.1012.2) (ISNI:0000 0004 1936 7910); University of Western Australia, Australian Institute of Marine Science, The University of Western Australia Oceans Institute, Crawley, Australia (GRID:grid.1012.2) (ISNI:0000 0004 1936 7910)
2 University of Western Australia, School of Biological Sciences, The University of Western Australia Oceans Institute, Crawley, Australia (GRID:grid.1012.2) (ISNI:0000 0004 1936 7910)
3 University of Western Australia, Australian Institute of Marine Science, The University of Western Australia Oceans Institute, Crawley, Australia (GRID:grid.1012.2) (ISNI:0000 0004 1936 7910)
4 University of Waikato, Coastal Marine Field Station, School of Science, Tauranga, New Zealand (GRID:grid.49481.30) (ISNI:0000 0004 0408 3579)
5 University of Bristol, School of Biological Sciences, Bristol, UK (GRID:grid.5337.2) (ISNI:0000 0004 1936 7603)