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  • Title: Auto-correlated directional swimming can enhance settlement success and connectivity in fish larvae.
    Author: Berenshtein I, Paris CB, Gildor H, Fredj E, Amitai Y, Lapidot O, Kiflawi M.
    Journal: J Theor Biol; 2018 Feb 14; 439():76-85. PubMed ID: 29154908.
    Abstract:
    Larvae of coastal-marine fishes have been shown repeatedly to swim directionally in the pelagic environment. Yet, biophysical models of larval dispersal typically impose a Simple Random Walk (SRW) algorithm to simulate non-directional movement in the open ocean. Here we investigate the use of a Correlated Random Walk (CRW) algorithm; imposing auto-correlated directional swimming onto simulated larvae within a high-resolution 3D biophysical model of the Gulf of Aqaba, the Red Sea. Our findings demonstrate that implementation of auto-correlated directional swimming can result in an increase of up to ×2.7 in the estimated success rate of larval-settlement, as well as an increase in the extent of connectivity. With accumulating empirical support for the capacity for directional-swimming during the pelagic phase, we propose that CRW should be applied in biophysical models of dispersal by coastal marine fish-larvae.
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