Data/hora: 27/07/2024 01:54:09

Provedor de dados: 	5	
País: 	France	
Título: 	Larval connectivity of pearl oyster through biophysical modelling; evidence of food limitation and broodstock effect	
Autores: 	Thomas, Yoann; Dumas, Franck; Andrefouet, Serge.	
Data: 	2016-12	
Ano: 	2016	
Palavras-chave: 	Pearl oyster; Lagoon; Biophysical modelling; Connectivity; Population dynamics; DEB model.	
Resumo: 	The black-lip pearl oyster (Pinctada margaritifera) is cultured extensively to produce black pearls, especially in French Polynesia atoll lagoons. This aquaculture relies on spat collection, a process that experiences spatial and temporal variability and needs to be optimized by understanding which factors influence recruitment. Here, we investigate the sensitivity of P. margaritifera larval dispersal to both physical and biological factors in the lagoon of Ahe atoll. Coupling a validated 3D larval dispersal model, a bioenergetics larval growth model following the Dynamic Energy Budget (DEB) theory, and a population dynamics model, the variability of lagoon-scale connectivity patterns and recruitment potential is investigated. The relative contribution of reared and wild broodstock to the lagoon-scale recruitment potential is also investigated. Sensitivity analyses pointed out the major effect of the broodstock population structure as well as the sensitivity to larval mortality rate and inter-individual growth variability to larval supply and to the subsequent settlement potential. The application of the growth model clarifies how trophic conditions determine the larval supply and connectivity patterns. These results provide new cues to understand the dynamics of bottom-dwelling populations in atoll lagoons, their recruitment, and discuss how to take advantage of these findings and numerical models for pearl oyster management.	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	http://archimer.ifremer.fr/doc/00321/43192/42926.pdf

DOI:10.1016/j.ecss.2016.03.010

http://archimer.ifremer.fr/doc/00321/43192/	
Editor: 	Academic Press Ltd- Elsevier Science Ltd	
Formato: 	application/pdf	
Fonte: 	Estuarine Coastal And Shelf Science (0272-7714) (Academic Press Ltd- Elsevier Science Ltd), 2016-12 , Vol. 182 , N. Part.B , P. 283-293	
Fonte: 	2016 Elsevier Ltd. All rights reserved.

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