Ecological forecasting—21st century science for 21st century management
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Published version
Date
2020-08-04
Authors
Bradford, J.
Weltzin, J.
Mccormick, M.
Baron, J.
Bowen, Z.
Bristol, S.
Carlisle, D.
Crimmins, T.
Cross, P.
DeVivo, J.
Version
OA Version
Citation
J. Bradford, J. Weltzin, M. Mccormick, J. Baron, Z. Bowen, S. Bristol, D. Carlisle, T. Crimmins, P. Cross, J. DeVivo, M. Dietze, M. Freeman, J. Goldberg, M. Hooten, L. Hsu, K. Jenni, J. Keisman, J. Kennen, K. Lee, D. Lesmes, K. Loftin, B. Miller, P. Murdoch, J. Newman, K. Prentice, I. Rangwala, J. Reed, J. Sieracki, H. Dofaer, S. Thur, G. Toevs, F. Werner, L. White, T. White, M. Wiltermuth. 2020. "Ecological forecasting—21st century science for 21st century management." pp. ? - ? (54). https://doi.org/10.3133/ofr20201073
Abstract
Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the information in forecasts to minimize the adverse effects of ecological stressors and optimize the effectiveness of management actions. To explore the potential for ecological forecasting to enhance natural resource management, the U.S. Geological Survey (USGS) convened a workshop titled "Building Capacity for Applied Short-Term Ecological Forecasting" on May 29—31, 2019, with participants from several Federal agencies, including the Bureau of Land Management, the U.S. Fish and Wildlife Service, the National Park Service, and the National Oceanic and Atmospheric Administration as well as all mission areas within the USGS.
Participants broadly agreed that short-term ecological forecasting—on the order of days to years into the future—has tremendous potential to improve the quality and timeliness of information available to guide resource management decisions. Participants considered how ecological forecasting could directly affect their agency missions and specified numerous critical tools for addressing natural resource management concerns in the 21st century that could be enhanced by ecological forecasting. Given this breadth of possible applications for forecast products, participants developed a repeatable framework for evaluating potential value of a forecast product for enhancing resource management. Applying that process to a large list of forecast ideas that were developed in a brainstorming session, participants identified a small set of promising forecast products that illustrate the value of ecological forecasting for informing resource management. Workshop outcomes also include insights about important likely obstacles and next steps. In particular, reliable production and delivery of operational ecological forecasts will require a sustained commitment by research agencies, in partnership with resource management agencies, to maintain and improve forecasting tools and capabilities.
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