Artificial Intelligence for Forest Monitoring, Resilience, and Sustainable Management under Global Change

Forests play a fundamental role in regulating the global climate, conserving biodiversity, sustaining ecosystem services, and supporting human well-being. However, forest ecosystems are increasingly threatened by climate change, extreme disturbances, land-use change, biological invasions, and unsustainable management. At the same time, satellite observations, UAVs, LiDAR, environmental sensor networks, and long-term forest monitoring programs have generated rapidly expanding volumes of forest-related data. Recent advances in artificial intelligence (AI), Earth observation technologies, and environmental sensing have created unprecedented opportunities to improve forest monitoring, ecological prediction, and adaptive forest management. Nevertheless, significant challenges remain in integrating AI with ecological theory, enhancing model interpretability and transferability, and translating data-driven insights into effective forest management practices.This Research Topic aims to provide an interdisciplinary platform for researchers working at the interface of forest ecology, remote sensing, geospatial science, and artificial intelligence. We seek contributions that develop innovative AI methodologies and demonstrate their applications in forest monitoring, ecosystem resilience, carbon dynamics, biodiversity conservation, disturbance assessment, ecological restoration, and sustainable forest management under global environmental change.This Research Topic welcomes interdisciplinary studies that advance artificial intelligence applications in forest science and global change research. Topics include, but are not limited to:AI-assisted:Forest monitoring and inventoryRemote sensing, UAVs, LiDAR, and multi-source forest data fusionForest biodiversity assessment and habitat conservationForest carbon cycling, carbon sequestration, and climate mitigationForest disturbances, including wildfire, drought, pests, and diseaseForest restoration, ecological resilience, and adaptive managementExplainable AI, foundation models, and digital twins for forest ecosystemsIntelligent forest management and decision-support systems under global change.We welcome Original Research, Reviews, Methods, Perspectives, and interdisciplinary studies that advance methodological innovation and practical applications in forest ecology, forest management, and global change science.This Research Topic is part of a series developed in collaboration with the 1st International Conference on Artificial Intelligence for Ecology and Environment. Explore the companion topics in this series: Artificial Intelligence for Ecological Discovery, Biodiversity, and Ecosystem Dynamics, Frontiers in Ecology and EvolutionArtificial Intelligence for Environmental Monitoring, Prediction, and Sustainable Ecosystem Management, Frontiers in Environmental Science Topic editors: Haidong Zhao, Jinran Wu, Jie Gao, Qi Wei Source: https://www.frontiersin.org/research-topics/85042/artificial-intelligence-for-forest-monitoring-resilience-and-sustainable-management-under-global-change