0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Book Chapter: not found

      Ecological Risk Assessment of Diffuse and Local Soil Contamination Using Species Sensitivity Distributions

      other
      ,
      Springer Netherlands

      Read this book at

      Buy book Bookmark
          There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: not found
          • Article: not found

          Soil invertebrates as ecosystem engineers: Intended and accidental effects on soil and feedback loops

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Classifying environmental pollutants

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Complex mixture toxicity for single and multiple species: proposed methodologies.

              Methods for the assessment of ecological risks associated with exposure to defined mixtures of toxicants are reviewed and formalized for single-species toxicity. Depending on the modes of action of toxicants in a mixture, these methods apply either the model for concentration additivity (CA) or the model for response additivity (RA). For complex mixtures, the present paper advocates the use of a new, two-step, mixed-model approach as a logical extension of model selection: Mixture toxicity for individual modes of action is evaluated with the CA model, and the toxicities of different modes of action are combined using the RA model. Using comparable mixture toxicity strategies in combination with the concept of species-sensitivity distributions, we develop a method to address and predict the risk for direct effects on the composition of species assemblages and biodiversity. The data needed for modeling can be obtained from existing databases, and lack of data can, in part, be addressed by the use of toxicity patterns in those databases. Both single- and multiple-species methods of mixture risk prediction are useful for risk management, because they allow ranking of polluted sites and affected species as well as identification of the most hazardous contaminants, at least in a comparative way. Validation of the proposed methods is feasible but currently limited because of a lack of appropriate data.
                Bookmark

                Author and book information

                Book Chapter
                2011
                November 10 2010
                : 625-691
                10.1007/978-90-481-9757-6_14
                d5d5dd68-34fa-411f-a43f-420396dfddef
                History

                Comments

                Comment on this book

                Book chapters

                Similar content3,012

                Cited by2