Near-term ecological forecasting for climate change action
A substantial increase in predictive capacity is needed to anticipate and mitigate the widespread change in ecosystems and their services in the face of climate and biodiversity crises. In this era of accelerating change, we cannot rely on historical patterns or focus primarily on long-term projections that extend decades into the future. In this Perspective, we discuss the potential of near-term (daily to decadal) iterative ecological forecasting to improve decision-making on actionable time frames. We summarize the current status of ecological forecasting and focus on how to scale up, build on lessons from weather forecasting, and take advantage of recent technological advances. We also highlight the need to focus on equity, workforce development, and broad cross-disciplinary and non-academic partnerships.
Citation Information
Publication Year | 2024 |
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Title | Near-term ecological forecasting for climate change action |
DOI | 10.1038/s41558-024-02182-0 |
Authors | Michael Dietze, Ethan P. White, Antoinette Abeyta, Carl Boettiger, Nievita Bueno Watts, Cayelan C. Carey, Rebecca Chaplin-Kramer, Ryan E. Emanuel, S.K. Morgan Ernest, Renato Figueiredo, Michael Gerst, Leah R. Johnson, Melissa A. Kenney, Jason S. McLachlan, Ioannis Ch. Paschalidis, Jody Peters, Christine R. Rollinson, Juniper Simonis, Kira Sullivan-Wiley, R. Quinn Thomas, Glenda M Wardle, Alyssa Willson, Jacob Aaron Zwart |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Nature Climate Change |
Index ID | 70261200 |
Record Source | USGS Publications Warehouse |
USGS Organization | WMA - Integrated Information Dissemination Division |