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LARVAHS: Predicting clam larval dispersal and recruitment using habitat suitability-based particle tracking model

Abstract: We herein explore the potential larval dispersal and recruitment patterns of Ruditapes decussatus and Ruditapes philippinarum clams, influenced by larval behavior and hydrodynamics, by means of a particle-tracking model coupled to a hydrodynamic model. The main contribution of this study is that a habitat suitability-based (ENFA, Environmental Niche Factor Analysis) settlement?recruitment submodel was incorporated into the larval dispersal model to simulate settlement behavior and post-settlement mortality. For this purpose, a specific study was carried out in the Bay of Santander (Northern Spain), a well-mixed shallow water estuary where shellfishery of both species is carried out. The model was fed with observed winds, freshwater flows and astronomical tides to obtain predictions during the clams spawning period. Dispersion of larvae from seven spawning zones was tracked, subjected to three-dimensional advection, vertical turbulent diffusion and imposed vertical migration behavior parameterized from existing literature. Three simulation periods (Spring, Summer and Autumn) and two initial releases (spring/neap tide) were combined in six different modeling scenarios. The LARVAHS model proved to be a powerful approach to estimating recruitment success, highlighting the role of habitat suitability, larval swimming behavior, planktonic duration, season (i.e. predominating winds) and spawning ground location on recruitment success together with the effect of the tidal phase at spawning. Moreover, it has proven to be a valuable tool for determining major spawning and nursery grounds and to explore the connectivity between them, having important implications for restoration strategies and shellfisheries as well as aquaculture management.

 Authorship: Bidegain G., Bárcena J.F., García A., Juanes J.A.,

 Fuente: Ecological Modelling Volume 268, 24 October 2013, Pages 78-92

Publisher: Elsevier

 Publication date: 01/10/2013

No. of pages: 15

Publication type: Article

 DOI: 10.1016/j.ecolmodel.2013.07.020

ISSN: 0304-3800,1872-7026

 Spanish project: CGL2009-10620

Publication Url: https://doi.org/10.1016/j.ecolmodel.2013.07.020