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Forest and Grassland Resources Research ›› 2023›› Issue (5): 142-147.doi: 10.13466/j.cnki.lczyyj.2023.05.017

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Analysis and Research on the Docking Scheme of Forest Stock Data Between Continuous Inventory of Forest Resources and Forest Resource Planning and Design Investigation

BAI Xingwen1(), HU Sheng2, BU Rigude1, YANG Fan1()   

  1. 1. Academy of Forestry Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China
    2. Industry Development and Planning Institute,National Forestry and Grassland Administration,Beijing 100010,China
  • Received:2023-07-28 Revised:2023-09-01 Online:2023-10-28 Published:2023-12-20

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Abstract:

Because of the different purposes and methods of the two monitoring systems,namely the continuous forest resources inventory and forest management inventory,the data of forest resources obtained by the two monitoring systems are inconsistent.In view of this,this paper took Baoding City as an example to carry out analysis and research on the docking scheme of forest stock data between continuous forest resources inventory and forest management inventory.In order to obtain the forest stock information of each county(city and district)in Baoding city,thesubcompartment stock volume prediction model was constructed by using nonlinear index model and tree species groups.The adjustment method was adopted to realize the connection between the continuous inventory of forest resources and the monitoring value of the forest resources planning and design investigation.The results showed as follows:1)the evaluation indexes of the subcompartment stock volume prediction model developed based on tree species groups all performed well,indicating that the model had good prediction ability;2)Compared with the forest management inventory,the forest stockper unit(34.98 m3/hm2)of Baoding City monitored by the subcompartment stock volume prediction modelshowed an accuracy of 91.06% with the monitoring valueof thecontinuous forest resource inventory stock,which greatly reduced the relative error,indicating the reliability of the monitoring value of the subcompartment stock volume prediction model;3)After further adjustment of the model prediction,the connection between the continuous forest resources inventory and forest management inventory was finally realized,indicating the feasibility of the research scheme.The technical scheme studied in this paper can provide technical reference for updating the monitoring data of subcompartment stock volumein all provinces over the years and realizing "one set of data,one piece of map" in the future.

Key words: inventory monitoring, stock volume prediction model, continuous forest resources inventory, forest management inventory

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