Climate-smart forestry: an AI-enabled sustainable forest management solution for climate change adaptation and mitigation

作者：G. Geoff Wang, Deliang Lu, Tian Gao, Jinxin Zhang, Yirong Sun, Dexiong Teng, Fengyuan Yu, Jiaojun Zhu · 发表于：Journal of Forestry Research · 年份：2024 · DOI：10.1007/s11676-024-01802-x · 被引用次数：51 · 研究领域：Forest Management and Policy、Remote Sensing and LiDAR Applications、Land Use and Ecosystem Services

Abstract Climate change is the most severe ecological challenge faced by the world today. Forests, the dominant component of terrestrial ecosystems, play a critical role in mitigating climate change due to their powerful carbon sequestration capabilities. Meanwhile, climate change has also become a major factor affecting the sustainable management of forest ecosystems. Climate-Smart Forestry (CSF) is an emerging concept in sustainable forest management. By utilizing advanced technologies, such as information technology and artificial intelligence, CSF aims to develop innovative and proactive forest management methods and decision-making systems to address the challenges of climate change. CSF aims to enhance forest ecosystem resilience (i.e., maintain a condition where, even when the state of the ecosystem changes, the ecosystem functions do not deteriorate) through climate change adaptation, improve the mitigation capabilities of forest ecosystems to climate change, maintain high, stable, and sustainable forest productivity and ecosystem services, and ultimately achieve harmonious development between humans and nature. This concept paper: (1) discusses the emergence and development of CSF, which integrates Ecological Forestry, Carbon Forestry, and Smart Forestry, and proposes the concept of CSF; (2) analyzes the goals of CSF in improving forest ecosystem stability, enhancing forest ecosystem carbon sequestration capacity, and advocating the application and development of new...