Testing macroecological hypotheses in sandy beach populations: the wedge clam Donax hanleyanus in South America

Autores

M. C. Risoli, A. R. Piola, O. Defeo, D. Luzzatto, E. Celentano, B. J. Lomovasky

Publicado en

MEPS 707:43-56

Año de publicación

2023

Afiliaciones

Instituto de Investigaciones Marinas y Costeras (IIMyC), Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Mar del Plata (UNMDP) – Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), CC 1260 (7600), Mar del Plata, Argentina Departamento de Oceanografía, Servicio de Hidrografía Naval – Universidad de Buenos Aires (UBA) – Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), (1271) Ciudad Autónoma de Buenos Aires, Argentina Laboratorio de Ciencias del Mar (UNDECIMAR), Facultad de Ciencias, (11400) Montevideo, Uruguay Instituto Andino Patagónico de Tecnologías Biológicas y Geoambientales (IPATEC), Universidad Nacional del Comahue (UNCo) – Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), (R8400) Bariloche, Argentina

Programa

Fondo para la Investigación Científica y Tecnológica (FONCyT PICT-2019-4151 to B.J.L.), Inter-American Institute for Global Change Research (IAI SGP-HW 017

Proyecto

SGP-HW 017

Keywords

Bivalve, Macroecology, Environmental correlates, Life-history traits

DOI

https://doi.org/10.3354/meps14264

Resumen

Large-scale spatial and temporal variability in environmental conditions may result in differences in life-history traits, population demography, and abundance of sandy-beach species. We analyzed the effects of salinity, chlorophyll a (chl a), and sea surface temperature (SST) on population parameters of the wedge clam Donax hanleyanus from 75 South American sandy beaches covering a 15° latitudinal range. Generalized modeling results showed that between-beach differences in abundance, population structure, growth performance, productivity, mortality, and individual shell mass were mainly explained by salinity fluctuations, with chl a and SST as secondary contributors, overriding, in most cases, local habitat features (Dean&rsquos parameter, grain size, slope). Our results provide valuable insights into macroscale ecological processes, setting a basis to delineate conservation guidelines at large spatial scales that respond to the potential effects of climate variability and change on sandy beach populations.

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