Data/hora: 16/06/2024 23:11:10

Provedor de dados: 	5	
País: 	France	
Título: 	Identification and characterisation of winter spawning ground in the English Channel and Southern North Sea	
Autores: 	Lelievre, Stephanie.	
Data: 	2010-12-20	
Ano: 	2010	
Palavras-chave: 	Oeufs de poissons; CUFES; VET; PCR-RFLP; Cyt b; 16S; ZooScan; Analyse d’images; Analyses géostatistiques; Interpolation; Modélisation d’habitat; GLM; RQ; Fish eggs; CUFES; VET; Image analysis; ZooScan; PCR-RFLP; Geostatistical analyses; Interpolated map; Habitat modelling; GLM; RQ.	
Resumo: 	A better knowledge and monitoring of principal commercial fish spawning grounds have become necessary in the North Sea. The efficiency of CUFES was proved by sampling pelagic fish eggs in winter in Eastern Channel and Southern North Sea. Fish egg taxonomic identification based on visual criteria cannot always be carried out effectively. In particular, cod (Gadus morhua), and whiting (Merlangius merlangus) or flounder (Platichthys flesus) and dab (Limanda limanda) have the same range of egg diameter and similar morphologies. Alternative identification methods using molecular techniques were developed to improve the accuracy of egg taxonomic identification. First, PCR-RFLP method, then, in order to accelerate egg identification, the use of a new laboratory imaging system, the ZooScan, able to produce high resolution images of zooplankton samples, was adapted to fish eggs and allowed their automated identification using supervised learning algorithms. The location of winter spawning grounds of fishes in the Southern North Sea and the Eastern Channel was illustrated using yearly maps and analysed over the available period to define recurrent, occasional and unfavourable spawning areas. Generally, fish eggs were found over the study area, except for the North Western of the North Sea, near Scottish coasts. Important spawning areas were clearly localised along the Belgian, Dutch and Danish coasts. Habitat modelling of these fish spawning areas was carried out using both GLM (Generalised Linear Model) and QR (Regression Quantile) and associated egg abundance to physical conditions such as temperature, salinity, bedstress, chlorophyll a concentration and bottom sediment types to characterise spawning habitat conditions and predict their extent and location. The results of this approach improve the understanding of spawning grounds’ distribution and were discussed in the context of the protection and conservation of critical spawning grounds.	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	http://archimer.ifremer.fr/doc/00043/15398/12757.pdf

http://archimer.ifremer.fr/doc/00043/15398/12759.pdf	
Editor: 	Université de Nantes	
Relação: 	http://archimer.ifremer.fr/doc/00043/15398/	
Formato: 	application/pdf	
Fonte: 	2010 Univ. Nantes, Ifremer, the author