Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision

Feng Luo, Ling Liu, G. Geoff Wang, Vijay Kumar, Mark S. Ashton, Jacob 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, Jing Jing Liang, Ninghao LiuSteve McNulty, Christopher M. Oswalt, Neil Pederson, Demetri Terzopoulos, Christopher W. Woodall, Yongkai Wu, Jian Yang, Yin Yang, Liang Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 5th International Conference on Cognitive Machine Intelligence, CogMI 2023
Pages1-10
Number of pages10
ISBN (Electronic)9798350323832
DOIs
StatePublished - 2023
Event5th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2023 - Atlanta, United States
Duration: Nov 1 2023Nov 3 2023

Publication series

NameProceedings - 2023 IEEE 5th International Conference on Cognitive Machine Intelligence, CogMI 2023

Conference

Conference5th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2023
Country/TerritoryUnited States
CityAtlanta
Period11/1/2311/3/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • artificial intelligence
  • climate-smart forestry

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Modeling and Simulation
  • Cognitive Neuroscience

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