Distribution patterns of Vibrionaceae abundance on the landing stages in coastal area: Understanding the influence of physicochemical variables by using multiple linear regression models and corrgram for matrix correlation

The present work used multiple linear regression (MLR) models and corrgram to assess the importance of environmental parameters on diversity abundance dynamics Vibrio sp. in waters few landing stages city Douala (Cameroon). It was recorded all five selected stations, presence four species namely, parahaemolyticus, cholerae, fluvialis alginolyticus whose highest reached 5.65, 6.26, 4.9 4.83 log CFU/100 ml respectively. cholerae most isolated during study with a frequency 65%. these germs is strongly influenced by nitrates, salinity, dissolved carbon dioxyde (CO2) ammonium ions (NH4+). visualization shows high degree association between studied parameters. We note coefficient determination r2 = 0.50 for model Heterotrophic Aerobic Bacteria (HAB) 0.58 MLR V. cholerae. physicochemical explain at 43% (r2 0.43) distribution abundances 45% 0.45) 26% 0.26) fluvialis.   Keywords: Multiple regression, corrgram, parameters, patterns, Vibrionaceae.