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Scientia Silvae Sinicae ›› 2024, Vol. 60 ›› Issue (7): 1-7.doi: 10.11707/j.1001-7488.LYKX20240433

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On the Research of Climate-Smart Forestry

Jiaojun Zhu1,G. Geoff Wang2,Huaiqing Zhang3,Tian Gao1   

  1. 1. CAS Key Laboratory of Forest Ecology and Silviculture Qingyuan Forest CERN National Observation and Research Station,Liaoning Province  Institute of Applied Ecology, Chinese Academy of Sciences Shenyang 110016
    2. Department of Forestry and Environmental Conservation, Clemson University Clemson 29634
    3. Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry Beijing 100091
  • Received:2024-07-11 Online:2024-07-25 Published:2024-08-19

Abstract:

Climate-smart forestry, which has emerged since 2020, is a synergistic development concept that integrates smart forestry, climate forestry, and ecological forestry. Climate-smart forestry, which is promoted by new-generation information and artificial intelligence (AI) technology, aims to change the traditional scientific research and management paradigms of forestry, and better understand and reveal the mechanisms of interactions between forest ecosystems and climate change. On this basis, nature-based climate solutions can be proposed to achieve functional efficiency, stability, and sustainability of forest ecosystem, and ultimately to achieve harmonious development between humans and nature. Similar to the conventional forestry and ecological forestry, the climate-smart forestry also requires scientific research as a fundamental support. The key science question in climate-smart forestry is the mechanisms of the interaction between forest ecosystems and climate change. The main research directions should include: 1) Monitoring, measurement, and estimation of forest ecosystem carbon sequestration, as well as the temporal effects of carbon sinks on mitigating climate change. 2) The formation of resilience (resistance, recovery, adaptability) in forest ecosystems and their response mechanisms to climate change and natural disturbances. 3) The mechanisms of carbon sequestration formation, maintenance, and enhancement in forest ecosystems, including the impact of forest management and timber production on carbon sequestration, and the balance between carbon sequestration and other functions. 4) AI and active remote sensing-driven intelligent systems for forest data collection. 5) Climate-smart forestry management system based on informatization, AI and expert decision-making. Strengthening the climate-smart forestry research is beneficial for enhancing the resilience of forest ecosystems to better adapt to climate change or mitigate the negative impacts of climate change, as well as improving the ability of forests to mitigate climate change, and promoting the multiple ecological functions of forests and the provision capacity of forest products.

Key words: climate-smart forestry, climate change, carbon sink, artificial intelligence, digital twin, forest management

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