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Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/34498 Cómo citar
Título: Large-scale connectivity of the sandy beach clam Mesodesma mactroides along the Atlantic coast of South America, and climate change implication
Autor: Meerhoff, Erika
Combes, Vincent
Matano, Ricardo
Barrier, Nicolás
Franco, Bárbara
Piola, Alberto
Hernández-Vaca, Freddy
Defeo, Omar
Tipo: Artículo
Palabras clave: Yellow clam, Larval connectivity, Individual-based model, Salinity-dependent larval mortality, Temperature-dependent larval mortality, Warming hotspot
Fecha de publicación: 2022
Resumen: The yellow clam Mesodesma mactroides is a cool-water species that typifies sandy beaches of the Southwestern Atlantic Ocean (SAO), which embraces one of the strongest ocean warming hotspots. The region is influenced by the Rio de la Plata (RdlP), which represents a zoogeographic barrier that restricts its larval exchange. We investigated yellow clam larval connectivity patterns using an individual based model (IBM). The IBM combined outputs from a 3D hydrodynamic model with a clam submodel that considered salinity- and temperature-dependent mortality for the planktonic larvae. Connectivity across the RdlP estuary occurred only for larvae released in spring during a strong La Niña event. Mortality due to freshwater precluded larval transport across the RdlP, whereas larval mortality induced by warmer waters reduced connectivity, leading to self-recruitment in most areas. Warming acceleration in this hotspot could further restrict larval connectivity between populations in the SAO, with conservation implications for this threatened species.
Descripción: Versión permitida: versión aceptada
Editorial: Elsevier
EN: Marine Environmental Research, 2022
Financiadores: ANII: FCE 3_2020_1_162359
Citación: Meerhoff, E, Combes, V, Matano, R, Barrier, N, y otros. "Large-scale connectivity of the sandy beach clam Mesodesma mactroides along the Atlantic coast of South America, and climate change implications" Marine Environmental Research, 2022, 176:105-591. DOI: 10.1016/j.marenvres.2022.105591
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