Modeling the Sensitivity of Aquatic Macroinvertebrates to Chemicals Using Traits

• DOI: 10.1021/acs.est.9b00893
• Publication Date: 2019-04-22T15:16:45Z
• Authors: Sanne J. P. Van d...; Hans Baveco; Emma Butler; Frederik De Laender; Andreas Focks; Antonio Franco; Cecilie Rendal; Paul J. Van den B...
• Keywords: Trait; Toxicodynamics

In this study, a trait-based macroinvertebrate sensitivity modeling tool is presented that provides two main outcomes: (1) it constructs ranking and, subsequently, predictive trait model for each one of diverse set predefined Modes Action (MOAs) and (2) reveals data gaps restrictions, helping with the direction future research. Besides revealing taxonomic patterns species sensitivity, we find there was not genus, family, or class which most sensitive to all MOAs common test taxa were often at all. Traits like life cycle duration feeding mode identified as important in explaining sensitivity. For 71% species, no incomplete available, making lack obstacle construction. Research focus should therefore be on completing databases enhancing them finer morphological traits, focusing toxicodynamics chemical (e.g., target site distribution). Further improved models can help creation ecological scenarios by predicting untested species. Through development, our approach reduce animal testing contribute toward new ecotoxicology framework.