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Forest and Grassland Resources Research ›› 2025›› Issue (1): 38-47.doi: 10.13466/j.cnki.lczyyj.2025.01.005

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Optimization of spatial structure of Cunninghamia lanceolata mixed forests based on uniform,dominance and mingling

CHEN Chao1,2,3(), ZHAO Yinyin1,2, YU Jiacong1,2, LI Xuejian1,2, FANG Qing4, ZHANG Yehua4, SONG Meixuan1,2, DU Huaqiang1,2()   

  1. 1. School of Environmental and Resources Science Zhejiang A & F University,Lin'an 311300,Zhejiang,China
    2. State Key Laboratory of Subtropical Silviculture,Lin'an 311300,Zhejiang,China
    3. Zhejiang Forest Resource Monitoring Center,Hangzhou 310020,Zhejiang,China
    4. Jiande forest farm,Jiande 311604,Zhejiang,China
  • Received:2024-06-30 Revised:2024-11-17 Online:2025-02-28 Published:2025-08-06

Abstract:

Optimizing the spatial structure of forest stands can significantly enhance forest quality and further unlock the functional and economic benefits of forests.This study focuses on the Cunninghamia lanceolata mixed forests in Meicheng Forest Farm,Jiande City,Zhejiang Province.Firstly,the uniform(W),dominance(U),and mingling(M)indices integrated into a multi-objective optimization framework using multiplication and division methods,thereby constructing a spatial structure optimization model for the forest stand.Then,the simulated annealing was applied to solve the model derive the selection cutting plan.Finally,a comparative analysis was conducted on the variations in spatial structure parameters and binary distribution of the forest stand before and after the simulated selection cutting.The results showed that,following the simulation,the uniformity increased by 2.34%,dominance decreased by 0.82%,mingling among mixed tree species increased by 11.36%,and the objective function value rose by 12.42%,which collectively improved the spatial structure of the forest stand.After selection cutting,the binary distribution characteristics of the spatial structure became more reasonable.Therefore,the forest stand spatial structure optimization system developed in this study,based on W,U,and M indices,effectively enhances the spatial structure characteristics of the forest and offers valuable insights for the formulation of future forest management strategies.

Key words: stand spatial structure, selection cutting, optimization models, simulated annealing, binary distribution

CLC Number: