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Related Experiment Videos

Ecological forecasts: an emerging imperative.

J S Clark1, S R Carpenter, M Barber

  • 1Department of Biology, Duke University, Durham, NC 27708 USA. jimclark@duke.edu

Science (New York, N.Y.)
|July 28, 2001
PubMed
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Reliable ecosystem forecasts aid planning and decision-making. Advances in data and computation enhance our ability to predict ecosystem changes, requiring collaboration between scientists and decision-makers.

Area of Science:

  • Ecology
  • Environmental Science
  • Computational Science

Background:

  • Effective planning and decision-making rely on accurate predictions of ecosystem states and services.
  • Current limitations in forecasting ecosystem dynamics hinder optimal resource management.
  • The need for improved ecosystem forecasting is driven by increasing environmental and societal pressures.

Purpose of the Study:

  • To outline an agenda for developing robust ecosystem forecasting capabilities.
  • To emphasize the integration of scientific advancements with decision-making processes.
  • To highlight the necessity of interdisciplinary approaches for ecosystem management.

Main Methods:

  • Leveraging new datasets and advancements in computational and statistical methods.

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  • Developing frameworks for the production, evaluation, and communication of ecosystem forecasts.
  • Fostering engagement between scientists and stakeholders.

    • Main Results:

    • Anticipates increased capacity to forecast ecosystem change with new data and methods.
    • Identifies the need for a structured process involving both scientific and decision-making communities.
    • Underscores the critical role of interdisciplinary collaboration.

    Conclusions:

    • Enhanced ecosystem forecasting is achievable through scientific progress and collaborative efforts.
    • Integrating forecasts into decision-making requires a process that bridges science and policy.
    • Interdisciplinary linkages are essential due to complex climate and societal interactions with ecosystems.