2000
DOI: 10.1093/plankt/22.11.2039
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Spatial characterization of nutrient dynamics in the Bay of Tunis (south-western Mediterranean) using multivariate analyses: consequences for phyto- and zooplankton distribution

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Cited by 52 publications
(41 citation statements)
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“…NH 4 -N, NO 2 -N, NO 3 -N, TIN and PO 4 -P) were more important in Cluster II. These results were similar to the research for spatial characterization of nutrient dynamics in the Bay of Tunis (Souissi et al, 2000), for long-term changes in water quality and phytoplankton characteristics in Port Shelte (Yung et al, 2001) and also for the water quality and phytoplankton characteristics in Daya Bay (Wang et al, www.intechopen. Table 12.…”
Section: Identification Of Water Quality and Phytoplankton Benthos Csupporting
confidence: 89%
“…NH 4 -N, NO 2 -N, NO 3 -N, TIN and PO 4 -P) were more important in Cluster II. These results were similar to the research for spatial characterization of nutrient dynamics in the Bay of Tunis (Souissi et al, 2000), for long-term changes in water quality and phytoplankton characteristics in Port Shelte (Yung et al, 2001) and also for the water quality and phytoplankton characteristics in Daya Bay (Wang et al, www.intechopen. Table 12.…”
Section: Identification Of Water Quality and Phytoplankton Benthos Csupporting
confidence: 89%
“…In fact, water circulation in the small Gulf of Tunis is controlled by currents and tidal waves that cause an intense coastal erosion (Ben Charrada, 1997). This site is exposed to heavy pollution due to urban, industrial and agricultural waste coming from the region of Tunis (Souissi et al 2000). Regarding the Bizerta Lagoon, the intensity of water masses movement is normal given the presence of the tip of Echaraà that forms a barrier protecting the MA site (Frisoni et al 1986).…”
Section: Discussionmentioning
confidence: 99%
“…2) The regionalization method, adapted from (Souissi et al, 2000), was used to address spatio-temporal heterogeneity. This numerical analysis method for time series is based on successive Principal Component Analyses (PCA) and cluster analyses.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Souissi et al (2000) had developed the 'regionalization method' in this way. Some amelioration of the method was done, in particular to test the significant of the groups found by the final cluster using the pv-clust method.…”
Section: Statistical Approachmentioning
confidence: 99%