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FOREST RESOURCES WANAGEMENT ›› 2022›› Issue (4): 13-19.doi: 10.13466/j.cnki.lyzygl.2022.04.003

• Scientific Research • Previous Articles     Next Articles

A Study on Integration of Forest Stock Data at Different Levels in Forest Inventory and Monitoring

ZENG Weisheng(), YANG Xueyun, SUN Xiangnan, LIU Qiangyi, ZHANG Yuchao   

  1. Academy of Forestry Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China
  • Received:2022-05-07 Revised:2022-05-23 Online:2022-08-28 Published:2022-10-13

Abstract:

It is necessary to conduct national and local integrated forest resources inventory and monitoring,and implement decomposition of provincial forest stock data to prefecture,county,and township level,and even every forest stand polygon,for promoting the supervision and assessment of forest chief system at all levels.Based on the data of forest resources inventory and monitoring in recent years in Beijing,the procedure for implementing decomposition of forest stock data into all stand polygons was presented,where the amount of municipal forest stock was taken as the total for control,and forest volume prediction model and simultaneous models of three forest stocks (volume stock,biomass stock and carbon stock)were applied.Given the data of forest resources planning and designing inventory for reference,the joint estimation method could be adopted to adjust the data of prefecture and county level appropriately,while the errors of different data need to be considered as a whole.Through the establishment of forest volume prediction model and simultaneous models of three forest stocks in Beijing,the forest volume,biomass and carbon storage of Beijing in 2021 were decomposed to district,and township level and every forest stand polygon,realizing the integration of stock data at municipality,district and township level.It is showed that the method of applying modeling technology to decompose three forest stocks into forest stand polygons presented in this study is feasible in practice.

Key words: forest volume, forest biomass, forest carbon storage, simultaneous models, joint estimation

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