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Scientia Silvae Sinicae ›› 2023, Vol. 59 ›› Issue (9): 13-22.doi: 10.11707/j.1001-7488.LYKX20210959

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Maximum Density-Size Line for Oak Natural Forest Based on Improved Stand Density Index

Long Shisheng1,2, Zeng Siqi1,2, Yang Shengyang1   

  1. 1. Central South University of Forestry & Technology Changsha 410004;
    2. Key Laboratory of National Forestry and Grassland Administration on Forest Resources Management and Monitoring in Southern China Changsha 410004
  • Received:2021-12-28 Revised:2022-08-01 Published:2023-10-28

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Abstract: Objective To construct the maximum density-size line and explore the self-thinning rule of oak natural forest, the study aims to enrich the theory of population ecology and provide a theoretical reference for the management and control of forest stand density in natural forests.Method Using data from 265 continuous inventory plots of oak mixed forests in Hunan Province, the stand density index was improved. The applicability of Reineke density index and the improved density index in constructing the maximum density line of oak natural forests was evaluated using quantile regression and stochastic frontier analysis. The self-thinning rule of oak natural forest with different stand types were also analyzed.Result Compared with Reineke’s stand density model, the improved stand density model significantly reduced prediction errors (P<0.05). The improved stand density model, based on mean diameter at breast height and mean height of dominant tree species, could better interpret the meaning of self-thinning in forest stands. The stochastic frontier model was more objective and accurate in simulating the maximum density-size model, and the quantile regression method can also provide a valuable supplement. The self-thinning process of natural mixed forest was determined by the average diameter and the average height of dominant tree species. The larger the mean stand diameter was, the faster the rate of self-thinning was. The higher the average height of dominant tree species, the more plants could be accommodated. Moreover, the rate of self-thinning showed significantly different among different types of oak stands (P<0.05), and the oak pure forest showed a faster rate and a higher mortality. Conclusion The study of maximum density-size model and self-thinning rule can provide a quantitative basis for the identification of the self-thinning state of the oak natural forest, and help to improve the quality of the oak natural forest and grasp the dynamics of the self-thinning.

Key words: self-thinning rule, maximum density-size line, stand density index, natural forest, oak

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