• DocumentCode
    1576260
  • Title

    An Integrated Assessment Model for Exploring Potential Impacts of Global Change Scenarios on the Canadian Agricultural System

  • Author

    Newlands, N.K. ; Zamar, D.S. ; Mcconkey, Bryan ; Townley-Smith, L. ; Clark, O.G.

  • Author_Institution
    Agric. & Agri-Food Canada, Canada
  • fYear
    2013
  • Firstpage
    915
  • Lastpage
    924
  • Abstract
    An integrated assessment model is being developed and tested to explore possible future trends of Canadian agriculture in response to projected global scenarios in the ecological, economic, and social dimensions. Although many studies suggest more favorable growing conditions for Canada due to rising temperature and CO2 concentration, the agricultural sector will likely face challenges of water scarcity and water and land quality degradation, compounded by uncertainty concerning technological and socio-economic evolution at various temporal and spatial scales. To help inform agricultural policy development and investment decisions, integrated assessments from a broad set of scenarios are needed. Our methodology is able to integrate stakeholder/expert knowledge, empirical and process-based model algorithms using remote-sensing and national agri-environmental datasets. We showcase this tool by assessing potential risks and impacts in relation to land suitability and nitrogen loading of water for two primary agricultural regions of Canadian (Western Prairies and Southern Ontario).
  • Keywords
    agriculture; ecology; environmental factors; socio-economic effects; sustainable development; CO2 concentration; Canadian agricultural system; Southern Ontario; Western Prairies; agricultural policy development; ecological dimension; economic dimension; global change; integrated assessment model; investment decision; land quality degradation; nitrogen; process-based model algorithm; remote-sensing; social dimension; socio-economic evolution; spatial scale; stakeholder-expert knowledge; technological evolution; temperature; temporal scale; water scarcity; Agriculture; Biological system modeling; Computational modeling; Data models; Mathematical model; Production; Uncertainty; Agriculture; Crop Forecasting; Decision-support; Integrated Modeling; Statistics; Sustainability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2013 46th Hawaii International Conference on
  • Conference_Location
    Wailea, Maui, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4673-5933-7
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2013.88
  • Filename
    6479944