{"refrec":{"BRefID":381636,"RR":"Lauria, V.; Vaz, S.; Martin, C.S.; Mackinson, S.; Carpentier, A. (2011). What influences European plaice (Pleuronectes platessa) distribution in the eastern English Channel? Using habitat modelling and GIS to predict habitat utilization. ICES J. Mar. Sci./J. Cons. int. Explor. Mer 68(7): 1500-1510. https://dx.doi.org/10.1093/icesjms/fsr081","BEntID":379377,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". ICES J. Mar. Sci./J. Cons. int. Explor. Mer 68(7): 1500-1510. https://dx.doi.org/10.1093/icesjms/fsr081","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Lauria, V.; Vaz, S.; Martin, C.S.; Mackinson, S.; Carpentier, A.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Lauria, V. et al.","Englishabstract":"Conservation of fish habitat requires knowledge of how spatial distributions of species are related to environmental factors. Habitat modelling and mapping are useful in predicting species–environment relationships. Species abundance is modelled as a function of environmental parameters to understand species habitat utilization better. The influence of environmental factors on plaice (Pleuronectes platessa) distribution was investigated for two life stages and over two seasons. Generalized linear modelling and quantile regression modelling were used to relate the relative abundance of (juvenile and adult) fish to environmental predictors (seawater temperature, salinity, water column depth, bed-shear stress, and sediment type) in autumn and summer. The resulting regression parameters were used to map preferential and potential habitat distributions within a geographic information system. Models were evaluated by comparing predicted against observed abundances. 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