Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision.

Feng Luo, Ling Liu,G. Geoff Wang,Vijay Kumar,Mark S. Ashton,Jacob D. Abernethy, Fatemeh Afghah, Matthew H. E. M. Browning,David Coyle,Philip Dames, Tom O'Halloran, James Hays, Patrick Heisl,Chenfanfu Jiang,Puskar Khanal,Venkat Narayan Krovi,Sara Kuebbing, Nianyi Li,JingJing Liang, Ninghao Liu,Steve McNulty, Christopher M. Oswalt,Neil Pederson,Demetri Terzopoulos, Christopher W. Woodall,Yongkai Wu,Jian Yang, Yin Yang,Liang Zhao

2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI)(2023)

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摘要
Forests and forest ecosystems are vital to our social, economic, and environmental well-being. However, climate change and climate-driven disturbances (CDDs) are undermining the health and resilience of forests worldwide and pose significant uncertainty to sustainable forest management. Climate-smart forestry (CSF) remains a grand challenge in practice due to our limited knowledge of how forests respond to climate change and our abilities to collect related information to empower decision making. Rapid advances in artificial intelligence (AI) can offer a timely opportunity to address the challenges in CSF. We argue that the AI-enabled, next-generation CSF can be achievable through synergistically coordinated and transdisciplinary efforts that develop and advance foundational and use-inspired AI technologies that can lead to building next-generation forest decision support systems.
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artificial intelligence,climate-smart forestry
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