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Why do shallow-water predators migrate? Strategic models and empirical evidence from an estuarine mysid

Speirs, Douglas and Lawrie, S. and Raffaelli, D. and Gurney, William and Emes, C. (2002) Why do shallow-water predators migrate? Strategic models and empirical evidence from an estuarine mysid. Journal of Experimental Marine Biology and Ecology, 280 (1-2). pp. 13-31. ISSN 0022-0981

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Abstract

We investigated factors potentially affecting tidal migrations over the littoral zone by invertebrate predators via a combination of strategic modelling, field observations and laboratory experiments using the mysid Neomysis integer. The models predict the distribution of individuals over the immersed intertidal region under the three different scenarios of diffusive movement, movement up a gradient of prey abundance, and movement towards a specific water depth. We reject the diffusive spread hypothesis since the predicted changes in spatial patterns are qualitatively inconsistent with those of density estimates over the tidal cycle in the field. The foraging hypothesis was consistent with the field samples only if there was a consistent upshore food gradient. Gut contents analysis showed meiofaunal prey were rare, but that organic detritus was the main dietary component. Sediment samples indicated some evidence of an organic matter gradient, but in the laboratory, Neomysis showed no preference for sediment with high organic content. We therefore rejected the foraging hypothesis. The depth-seeking model was not rejected, but laboratory experiments involving responses to various predators of Neomysis provided only weak evidence that depth-seeking was a result of predator avoidance. We hypothesise that the proximate mechanism is most likely to involve behavioural responses to flow conditions.

Item type: Article
ID code: 41820
Keywords: intertidal migration, foraging behaviour, predation avoidance, Neomysis integer, Probabilities. Mathematical statistics, Ecology, Evolution, Behavior and Systematics, Aquatic Science
Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Department: Faculty of Science > Mathematics and Statistics
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 30 Oct 2012 10:59
    Last modified: 05 Sep 2014 18:39
    URI: http://strathprints.strath.ac.uk/id/eprint/41820

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