Xie Hongtao, Chang Mengyuan, Wang G Geoff, Tang Yu, Jin Songheng
Jiyang College, Zhejiang A&F University, Zhuji, China.
College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou, China.
Front Plant Sci. 2025 Jul 17;16:1583294. doi: 10.3389/fpls.2025.1583294. eCollection 2025.
Global climate change poses a great obstacle to the sustainability of world forestry, and the trifecta of enhancing forest stock, minimizing greenhouse gas emissions, and attaining sustainable forest management is still challenging. Climate-smart forestry (CSF), however, offers promising solutions to these issues, with its core objective being to foster sustainable development through enhanced forest resilience, reduced greenhouse gas emissions, and boosted forest productivity and income. This emerging focus on CSF seeks to understand the mechanisms of interactions between forest ecosystems and climate change and eventually find locally acceptable solutions. This review delves into the developmental objectives of CSF, providing a new insight into the latest research advances and practical experience in CSF among eight Europe and American countries, including Brazil, USA, Czech, Finland, etc. Meanwhile, we identify the main challenges that CSF is facing currently, including the climate change uncertainty, disconnection among policy, science, and practice, and trade-offs between different CSF objectives. To address these challenges, we proposed five potential aspects for CSF development and sketched their main applications. Specifically, Technological innovation and digital applications are highly encouraged, including GIS and remote sensing, Internet of Things (IoT), and artificial intelligence technologies. Besides, Intelligent logging operations and wood processing, forest bioeconomy should also be considered to promote the CSF development. The results offer new perspectives and strategies for mitigating climate change via sustainable forestry management and protecting forest economies and communities in the context of accelerated global climate change.
全球气候变化对世界林业的可持续发展构成了巨大障碍,而增加森林蓄积量、最大限度减少温室气体排放以及实现可持续森林管理这三大目标仍具有挑战性。然而,气候智能型林业(CSF)为这些问题提供了颇具前景的解决方案,其核心目标是通过增强森林恢复力、减少温室气体排放以及提高森林生产力和收入来促进可持续发展。这种对气候智能型林业的新关注旨在了解森林生态系统与气候变化之间的相互作用机制,并最终找到当地可接受的解决方案。本综述深入探讨了气候智能型林业的发展目标,为巴西、美国、捷克、芬兰等八个欧美国家在气候智能型林业方面的最新研究进展和实践经验提供了新的见解。同时,我们确定了气候智能型林业目前面临的主要挑战,包括气候变化的不确定性、政策、科学和实践之间的脱节以及不同气候智能型林业目标之间的权衡。为应对这些挑战,我们提出了气候智能型林业发展的五个潜在方面,并概述了它们的主要应用。具体而言,大力鼓励技术创新和数字应用,包括地理信息系统(GIS)和遥感、物联网(IoT)以及人工智能技术。此外,还应考虑智能伐木作业和木材加工、森林生物经济,以促进气候智能型林业的发展。研究结果为在全球气候变化加速的背景下,通过可持续森林管理缓解气候变化、保护森林经济和社区提供了新的视角和策略。