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Toward a knowledge infrastructure for traits-based ecological risk assessment

Authors

  • Donald J Baird,

    Corresponding author
    1. Environment Canada at Canadian Rivers Institute, Department of Biology, University of New Brunswick, P.O. Box 45111, Fredericton, New Brunswick E3B 6E1, Canada
    • Environment Canada at Canadian Rivers Institute, Department of Biology, University of New Brunswick, P.O. Box 45111, Fredericton, New Brunswick E3B 6E1, Canada.
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  • Christopher J O Baker,

    1. Department of Computer Science & Applied Statistics, University of New Brunswick, Saint John, New Brunswick, Canada
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  • Robert B Brua,

    1. Environment Canada, Aquatic Ecosystem Impacts Research Division (AEIRD), Water Science and Technology Directorate, Saskatoon, Saskatchewan, Canada
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  • Mehrdad Hajibabaei,

    1. Biodiversity Institute of Ontario, Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
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  • Kearon McNicol,

    1. The Freshwater Biological Association, Far Sawrey, Ambleside, Cumbria, United Kingdom
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  • Timothy J Pascoe,

    1. Environment Canada, Canada Centre for Inland Waters, Burlington, Ontario, Canada
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  • Dick de Zwart

    1. National Institute for Public Health and the Environment (RIVM), Laboratory for Ecological Risk Assessment, Bilthoven, The Netherlands
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  • EDITOR'S NOTE This is 1 of 5 papers reporting on the results of a SETAC technical workshop entitled “Traits-based Ecological Risk Assessment (TERA): Realizing the potential of ecoinformatics approaches in ecotoxicology,” held 7-11 September 2010, in the Canadian Centre for Inland Waters, Burlington, Ontario, Canada, to evaluate the potential of traits-based ecological risk assessment among experts of different fields of biomonitoring and environmental risk assessment.

Abstract

The trait approach has already indicated significant potential as a tool in understanding natural variation among species in sensitivity to contaminants in the process of ecological risk assessment. However, to realize its full potential, a defined nomenclature for traits is urgently required, and significant effort is required to populate databases of species–trait relationships. Recently, there have been significant advances in the area of information management and discovery in the area of the semantic web. Combined with continuing progress in biological trait knowledge, these suggest that the time is right for a reevaluation of how trait information from divergent research traditions is collated and made available for end users in the field of environmental management. Although there has already been a great deal of work on traits, the information is scattered throughout databases, literature, and undiscovered sources. Further progress will require better leverage of this existing data and research to fill in the gaps. We review and discuss a number of technical and social challenges to bringing together existing information and moving toward a new, collaborative approach. Finally, we outline a path toward enhanced knowledge discovery within the traits domain space, showing that, by linking knowledge management infrastructure, semantic metadata (trait ontologies), and Web 2.0 and 3.0 technologies, we can begin to construct a dedicated platform for TERA science. Integr Environ Assess Manag 2011;7:209–215. © 2010 SETAC

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