Welcome to visit Scientia Silvae Sinicae,Today is

›› 2013, Vol. 49 ›› Issue (1): 120-125.doi: 10.11707/j.1001-7488.20130118

• 论文 • Previous Articles     Next Articles

Spatial Structure Optimizing Adjustment and Control Model of Phyllostachys edulis Stand

Tang Mengping1,2, Xu Wenbing1, Chen Yonggang1, Lou Minghua1, Qiu Jianxi1, Pang Chunmei3, Zhao Mingshui3   

  1. 1. School of Environmental and Resource, Zhejiang A & F University Lin'an 311300;2. Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration Lin'an 311300;3. Authority in National Nature Reserve of Tianmu Mountain Lin'an 311300
  • Received:2012-02-03 Revised:2012-11-12 Online:2013-01-25 Published:2013-01-25

Abstract: Spatial structures of current Phyllostachys edulis stands are usually irrational. Based on non-spatial structure requirements,how to adjust and control the spatial structures of Phyllostachys edulis stands to lead to rational state is a focus problem in practice. This study used a less disturbed Phyllostachys edulis stand in Tianmu Mountain National Nature Reserve of Zhejiang Province as a research object,a spatial structure optimizing adjustment and control model of Phyllostachys edulis stand was established based on GIS(geographic information system) spatial analysis function. The objective of the model is spatial structure, non-spatial structures are its constraints. The model belongs to nonlinear integer programming,Monte Carlo algorithm was used to solve the model. An optimal cutting plan was obtained by solving the model. Based on the plan,through spatial structure optimizing adjustment and control of Phyllostachys edulis stand,the objective function value of stand spatial structure after cutting increases 32.650 0% than that of before cutting. The stand spatial structure is improved at the furthest and non-spatial structures are not destroyed. Therefore,this plan can be used for making cutting plan.

Key words: Phyllostachys edulis stand, selection cutting, spatial structure optimizing adjustment and control model, Monte Carlo algorithm, geographic information system(GIS)

CLC Number: