Back to Search Start Over

Assessment of larval connectivity in a sandy beach mole crab through a coupled bio-oceanographic model.

Authors :
Meerhoff, Erika
Defeo, Omar
Combes, Vincent
Franco, Barbara C.
Matano, Ricardo P.
Piola, Alberto R.
Vaca, Freddy Hernández
Celentano, Eleonora
Source :
Estuarine Coastal & Shelf Science. Nov2020, Vol. 246, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

The biophysical mechanisms influencing larval distribution and their impacts on the metapopulation dynamics of sandy beaches, particularly the connectivity patterns associated with larval dispersal, are poorly understood. Here, we identify larval connectivity patterns of the mole crab Emerita brasiliensis in the coast of Uruguay. A biophysical individual based model (IBM) of larval transport was coupled to a regional high-resolution physical model to estimate the monthly and interannual variation of larval connectivity, as well as the impact of the length of the reproductive period on it. Larval connectivity showed marked interannual variations, which were mainly related to interannual changes in seasonal winds and associated ocean circulation patterns, particularly during La Niña years. The southernmost area where E. brasiliensis occurs only received larvae from the nearest release area in November and January spawning events during a strong La Niña year, characterized by intense northeasterly winds. The Uruguayan coast constitutes the leading (poleward) edge of the distribution of E. brasiliensis , where climate change effects are projected to intensify. Extrapolation of these results to a climate change scenario with stronger La Niña events, suggest that larval transport to southernmost beaches will become more probable. • Emerita brasiliensis larval connectivity was studied through individual-based models. • 12-year ROMS outputs were used to address connectivity in the coast of Uruguay. • Connectivity changed drastically during La Niña event with intense northeasterly winds. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02727714
Volume :
246
Database :
Academic Search Index
Journal :
Estuarine Coastal & Shelf Science
Publication Type :
Academic Journal
Accession number :
146933814
Full Text :
https://doi.org/10.1016/j.ecss.2020.107035