A STATISTICAL APPROACH FOR THE ASSESSMENT OF THE TOXIC INFLUENCES ON GAMMARUS-PULEX (AMPHIPODA) AND ASELLUS-AQUATICUS (ISOPODA) EXPOSED TO URBAN AQUATIC DISCHARGES
Rm. Mulliss et al., A STATISTICAL APPROACH FOR THE ASSESSMENT OF THE TOXIC INFLUENCES ON GAMMARUS-PULEX (AMPHIPODA) AND ASELLUS-AQUATICUS (ISOPODA) EXPOSED TO URBAN AQUATIC DISCHARGES, Water research, 30(5), 1996, pp. 1237-1243
A statistical procedure has been developed to quantify the mortality r
esponse of caged macroinvertebrates in terms of measured environmental
parameters. Populations of Gammarus pulex and Asellus aquaticus were
caged in urban receiving waters downstream of a combined sewer overflo
w (CSO) and a surface water outfall (SWO) for 36 d. During this period
of exposure, the mortality and heavy metal bioaccumulation responses
of populations of both species, as well as seventeen different chemica
l and hydrological characteristics of the receiving watercourse were m
onitored. Multivariate statistical techniques, comprising principal co
mponent analysis (with VARIMAX rotation) and multiple regression analy
sis were used to determine the measured variables that influenced mort
ality. Certain parameters (BOD5, total aqueous copper concentration, f
low rate and suspended solids) influenced the mortality responses of b
oth species. Ammonia, total aqueous lead concentrations and dissolved
aqueous concentrations of zinc and copper additionally affected the re
sponse of Gammarus pulex. Body concentrations of zinc, lead, cadmium a
nd copper and dissolved aqueous concentrations of cadmium were found t
o be influential upon the mortality response of caged Asellus aquaticu
s. The relationships between the mortality responses of each species a
nd the selected independent variables are expressed in the form of sta
ble quantitative equations by regressing the dependent variable (ie mo
rtality) against the principal components of the independent parameter
s. This statistical approach represents an important tool for interpre
ting large intercorrelated sets of environmental data obtained in situ
. Copyright (C) 1996 Elsevier Science Ltd.