Integrative Biology Journals

JOURNAL OF FORESTRY RESEARCH ›› 2024, Vol. 35 ›› Issue (1): 87-.DOI: 10.1007/s11676-024-01738-2

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Pitfalls in forest carbon sink projection

Yanli Dong1,2,3, Zhen Yu1,2,3,b(), Evgenios Agathokleous1,2,3(), Guoyi Zhou1,2,3, Shirong Liu4   

  1. 1 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, 210044, Nanjing, People’s Republic of China
    2 Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), Nanjing University of Information Science and Technology, 210044, Nanjing, People’s Republic of China
    3 Institute of Ecology and School of Ecology Applied Meteorology, Nanjing University of Information Science and Technology, 210044, Nanjing, People’s Republic of China
    4 Key Laboratory of Forest Ecology and Environment, China’s National Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, 100091, Beijing, People’s Republic of China
  • Received:2024-01-22 Accepted:2024-03-07 Online:2024-10-16 Published:2024-10-16
  • Contact: Zhen Yu

Abstract:

Global forests are increasingly crucial for achieving net-zero carbon emissions, with a quarter of the mitigation efforts under the Paris Climate Agreement directed towards forests. In China, forests currently contribute to 13% of the global land's carbon sink, but their stability and persistence remain uncertain. We examined and identified that published studies suffered from oversimplifications of ecosystem succession and tree demographic dynamics, as well as poor constraints on land quality. Consequently, substantial estimations might have been suffered from underrepresented or ignored crucial factors, including tree demographic dynamics, and disturbances and habitat shifts caused by global climate change. We argue that these essential factors should be considered to enhance the reliability and accuracy of assessments of the potential for forest carbon sinks.

Key words: Forest carbon, Carbon sink, Forest age, Land suitability, Forest demographic