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Record number 410444
Title Ecological vulnerability of wildlife species for ivermectin
Author(s) Lange, H.J. de; Lahr, J.
Source In: Proceedings of the 21st SETAC Europe Annual meeting on Ecosystem Protection in a Sustainable World: a Challenge for Science and Regulation, Milan, Italy, 15-19 May 2011. - Brussel : SETAC Europe - p. 293 - 293.
Event Brussel : SETAC Europe SETAC Europe 21st Annual Meeting, Milano, 2011-05-15/2011-05-19
Department(s) CE - Molecular Ecology Ecotoxicology and Wildlife Management
Publication type Abstract in scientific journal or proceedings
Publication year 2011
Abstract The ecological vulnerability method is developed as an additional tool in risk assessment. The method uses ecological traits for individual species of wildlife to assess (1) their exposure to soil contaminants, (2) internal regulation and toxicological sensitivity to toxicants, and (3) potential for population recovery from harmful effects. Vulnerability of wildlife species was studied for different model compounds, including the persistent veterinary pharmaceutical ivermectin, with low to medium toxicity. The species did not include dung insects. The field distribution of ivermectin is more patchy than other persistent compounds, and can be very different between plots. Vulnerability of wildlife species for ivermectin was mostly determined by exposure through habitat: a preference for soil as the main habitat increases vulnerability. The life history strategy characteristics of species vulnerable to ivermectin are intermediate in the spectrum from r-strategy (opportunistic) to K-strategy (long-lived). In the category population recovery, most characteristic factors correlated with a low vulnerability. The most vulnerable species included Slow worm, Viviparous lizard, European mole, and Sand lizard. The method assesses direct effects on species. Indirect effects such as food depletion of higher animals caused by ivermectin effects on invertebrate food species cannot yet be properly predicted by our method for lack of generic data. This should be further studied.
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