Auto-correlated directional swimming can enhance settlement success and connectivity in fish larvae

JOURNAL OF THEORETICAL BIOLOGY

卷:439

Article

Berenshtein, Igal^1,2,3  Paris, Claire B.³  Gildor, Hezi⁴  Fredj, Erick⁵  Amitai, Yael⁴  Lapidot, Omri^1,2  Kiflawi, Moshe^2,6 

[1] Ben Gurion Univ Negev, Dept Life Sci, Eilat Campus,POB 653, IL-84105 Beer Sheva, Israel

[2] Interuniv Inst Marine Sci Eilat, IL-88103 Elat, Israel

[3] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA

[4] Hebrew Univ Jerusalem, Inst Earth Sci, IL-91904 Jerusalem, Israel

[5] Jerusalem Inst Technol, Dept Comp Sci, IL-91160 Jerusalem, Israel

[6] Ben Gurion Univ Negev, Dept Life Sci, POB 653, IL-84105 Beer Sheva, Israel

关键词: Larval dispersal;    Connectivity;    Pelagic;    Orientation;    Directional swimming;    Correlated random walk;    Gulf of Aqaba;   

DOI  :  10.1016/j.jtbi.2017.11.009

来源: Elsevier

【 摘 要 】

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 x2.7 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. (c) 2017 Elsevier Ltd. All rights reserved.

【 授权许可】

Free