Assessment of larval connectivity in a sandy beach mole crab through a coupled bio-oceanographic model. (5th November 2020)

• Record Type: Journal Article
• Authors: Meerhoff, Erika; Defeo, Omar; Combes, Vincent; Franco, Barbara C.; Matano, Ricardo P.; Piola, Alberto R.; Vaca, Freddy Hernández; Celentano, Eleonora
• Is Part Of: Estuarine, coastal and shelf science. Volume 246(2020)
• Publication Date: 2020-11-05
• Subjects: Mole crab -- Larval connectivity -- Sandy beach -- Individual based model; Estuarine oceanography -- Periodicals; Coasts -- Periodicals; Estuarine biology -- Periodicals; Seashore biology -- Periodicals; Coasts; Estuarine biology; Estuarine oceanography; Seashore biology; Periodicals; 551.461805
• DOI: 10.1016/j.ecss.2020.107035
• Languages: English
• ISSNs: 0272-7714

Abstract

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. Highlights: 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.