Pollution-induced community tolerance (PICT) is used for the detection of minor effects of toxicants in biotic communities. Organisms survive in toxic environments only if they are tolerant to the chemicals present in their habitat. In the selection phase, toxicants hinder the success of sensitive individuals and species and replace them by more tolerant ones. The resulting increase in community tolerance is quantified in the detection phase by short-term toxicity tests. In this way PICT can establish causal linkages between contaminants and effects. An increase in community tolerance compared to the baseline tolerance at reference sites suggests that the community has been adversely affected by toxicants. PICT has been used in aquatic and terrestrial environments with communities of periphyton, phytoplankton, bacteria, nematodes and insects. A variety of methods have been used for quantification of community tolerance including photosynthesis, sulfolipid synthesis, respiration, thymidine and leucine incorporation, survival, and substrate utilisation patterns. PICT has been observed for copper, zinc, nickel, mercury, cadmium, arsenate, monomethylarsonic acid, diuron, tributyl tin, 4,5,6-trichloroguaiacol, irgarol 1051, seanine 211, atrazine, and trinitrotoluene. It is necessary to validate PICT, at least by showing that it is related to the preexposure concentration of the toxicants and that it is coupled to a toxicant-induced succession (TIS) in the community. Care must also be taken to ascertain that PICT interpretation is not confounded by co-tolerance or bioavailability differences. Co-tolerance patterns, which are indicative of the specificity of PICT, have only been investigated for arsenate, diuron and a few metals. For the further improvement of PICT methodology special attention should be given to co-tolerance patterns and development of new integrating short-term tests for quantification of tolerance. It is also important to broaden the scope of organisms and toxicants used. Properly validated, PICT is a powerful tool for detection of community effects and its use in monitoring and site-specific risk assessment should be encouraged.
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