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Scientia Silvae Sinicae ›› 2023, Vol. 59 ›› Issue (12): 87-104.doi: 10.11707/j.1001-7488.LYKX20220837

• Research papers • Previous Articles     Next Articles

Compilation of Growth and Yield Table for Larch Plantations Based on 3-PGmix Model

Yalin Xie1,Xiangdong Lei2,*,Weisheng Zeng3   

  1. 1. Command Center of Natural Resources Comprehensive Survey, China Geological Survey Key Laboratory of Coupling Process and Effect of Natural Resources Elements Beijing 100055
    2. Key Laboratory of Forest Management and Growth Modeling, National Forestry and Grassland Administration Institute of Forest Resource Information Techniques, Chinese Academy of Forestry Beijing 100091
    3. Institute of Forest and Grassland Inventory and Planning, National Forestry and Grassland Administration Beijing 100714
  • Received:2022-11-26 Online:2023-12-25 Published:2024-01-08
  • Contact: Xiangdong Lei

Abstract:

Objective: Larch is the main tree species for afforestation in northeast and north China. Growth and yield tables of larch plantations were compiled to provide the basis for scientific management. Method: Based on the data of 552 permanent sample plots of larch plantations from the fifth to the eighth national forest inventory and meteorological data in 7 provinces of northeast and north China (Beijing, Hebei, Shanxi, Liaoning, Jilin, Heilongjiang and Inner Mongolia), growth and yield tables were produced for larch plantations with different site levels using 3-PGmix model. Result: The model parameters of larch plantations were obtained by calibration and validation. The simulated and measured values of stand variables were consistent with each other (R2 was between 0.71 and 0.96). The mean relative errors in terms of stand volume were 5.70%, 0.95%, 4.70%, and ?4.56% for Larix gmelinii, Larix olgensis, Larix principis-rupprechtii and Larix kaempferi, respectively. The RMSE (root mean square error) values were 14.88, 12.00, 16.74 and 13.11 m3·hm?2, respectively. The growth and yield tables could describe the change of stand variables with age, including stand average DBH, average height, stem density, stock volume, stand biomass, periodical and mean annual increment etc. Results showed the differences in the growth of the four larch species, owing to the difference in suitable conditions, phenological period, growth period and other biological characteristics. The model results are statistically reliable and biologically rational. Conclusion: The simulation results of the 3-PGmix process-based growth model can be used to produce the growth and yield table of larch plantations, and the study provided a novel way for forest growth and yield table.

Key words: larch plantation, 3-PGmix process-based growth model, growth and yield table

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