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Indicator quality for multidisciplinary systems.

J Riley1

  • 1Department of Statistics, IACR-Rothamsted, Hertfordshire, UK.

Novartis Foundation Symposium
|May 8, 1999
PubMed
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The UNIQUAIMS project developed methods and indicators for assessing the sustainability and impact of multidisciplinary systems. It involved 27 partners to improve natural resource management through better assessment tools.

Area of Science:

  • Agricultural Science
  • Environmental Science
  • Socioeconomics

Background:

  • The Unification of Indicator Quality for Assessment of Impact of Multidisciplinary Systems (UNIQUAIMS) project was initiated in January 1998.
  • This 3-year European Union-funded project addresses the need for robust assessment of multidisciplinary systems.
  • It involves 27 partners from developing countries and Europe.

Purpose of the Study:

  • To clarify methods and rationalize indicators for assessing the impact and sustainability of agricultural and ecosystem management.
  • To focus on three priority areas: farming systems, converted ecosystems, and degraded ecosystems.
  • To promote improved interdisciplinary, multidisciplinary, and cross-sectorial natural resource management.

Main Methods:

  • The project involves a strong socioeconomic component.

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  • It aims to identify key qualitative and quantitative indicators for baseline and ongoing studies.
  • Guidelines for indicator collection procedures at all research stages will be established.

    • Main Results:

    • The project seeks to clarify current methods for impact and sustainability assessment.
    • It will identify relevant indicators at different scales, balancing standardization with local responsiveness.
    • Results will be disseminated to research institutes, extension agents, planners, and policymakers.

    Conclusions:

    • The UNIQUAIMS project is crucial for advancing the assessment of multidisciplinary systems.
    • Standardized yet locally relevant indicators are essential for effective natural resource management.
    • Improved assessment methodologies will support better decision-making in agriculture and ecosystem management.