Science-based decisionmaking frameworks to manage impacted ecosystems and human-dominated systems.
By establishing forecasting as the IGCB’s mission and by targeting short-term (annual to decadal) forecasting across local to global spatial scales, we ensure the best knowledge possible is available for management and policy that address pressing environmental issues.
More realistic predictive modeling based on a comprehensive understanding of the interactive effects of global change drivers.
By developing forecasts at organizational levels and temporal and spatial scales rarely represented, our outcomes synthesize state-of-the-art science information. This information is translated for policy and management and motivates further basic science research into biological responses to environmental change.
Indicators to use in response and adaptation models and forecasts that are aligned with those used in policy and management decisionmaking.
By using indicators of environmental changes and impacts, we ensure that monitoring can be implemented effectively and that impacts can be assessed rapidly.
Model frameworks that produce local and short-term forecasts, but can be applied in a wide range of ecosystems across the globe.
By forming multidisciplinary teams of experts, we stimulate innovative connections across organizational levels and temporal and spatial scales. These frameworks are flexible and adaptive to other systems and problems.
Issues and solutions using translational science targeting policy and management.
By leveraging the interdisciplinary expertise across U-M, we ensure that outcomes move from research to end-user operation.