TY - JOUR
T1 - Near-term ecological forecasting for climate change action
AU - Dietze, Michael
AU - White, Ethan P.
AU - Abeyta, Antoinette
AU - Boettiger, Carl
AU - Bueno Watts, Nievita
AU - Carey, Cayelan C.
AU - Chaplin-Kramer, Rebecca
AU - Emanuel, Ryan E.
AU - Ernest, S. K.Morgan
AU - Figueiredo, Renato J.
AU - Gerst, Michael D.
AU - Johnson, Leah R.
AU - Kenney, Melissa A.
AU - McLachlan, Jason S.
AU - Paschalidis, Ioannis Ch
AU - Peters, Jody A.
AU - Rollinson, Christine R.
AU - Simonis, Juniper
AU - Sullivan-Wiley, Kira
AU - Thomas, R. Quinn
AU - Wardle, Glenda M.
AU - Willson, Alyssa M.
AU - Zwart, Jacob
N1 - Publisher Copyright:
© Springer Nature Limited 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85208810074
UR - https://www.scopus.com/pages/publications/85208810074#tab=citedBy
U2 - 10.1038/s41558-024-02182-0
DO - 10.1038/s41558-024-02182-0
M3 - Article
AN - SCOPUS:85208810074
SN - 1758-678X
VL - 14
SP - 1236
EP - 1244
JO - Nature Climate Change
JF - Nature Climate Change
IS - 12
M1 - aad8466
ER -