Forest and Grassland Resources Research >
Target Tree Tending Optimal Management of Ecological Landscape Forest Coupled with the Scenic Beauty Estimation
Received date: 2017-10-14
Revised date: 2017-11-06
Online published: 2020-09-28
The Jinsiwan Forest Park in Fujian Sanming is taken as the object and 8 sample plots are set up.In addition stand structure index and landscape factor before optimizing the management are taken as the variables,then the multiple linear regression model is built,a further target tree tending optimal management of ecological landscape forest is set up coupled with the scenic beauty estimation and implemented at the same time.Meanwhile,this paper discusses the effect of this method on the characteristics of the stand structure community,the stand structure and the aesthetic quality of the ecological landscape forest.And the results showed that compared with the data before adjustment,the mingling intensity,angular scale and size ratio of the stand structure were 1.699%,2.083% and 0.800% respectively;The Margalef richness index,Simpson diversity index and Pielou evenness index had increased and the growth rate was 4.508%,2.841% and 3.030% respectively. The optimized scenic beauty of the stand structure has been greatly improved,the increased rate is 90.788%. Based on the target tree management strategy,the adjustment technique of stand structure of landscape forest can satisfy the ecological requirement of ecological regional function,which makes the stand structure be further optimized,the species diversity be increased,and landscaping value of the forest resources be improved.Target tree tending optimal management of ecological landscape forest coupled with the scenic beauty estimation provides a feasible method for forest stand optimization of ecological scenic forest.
Jingwen AI , Jian LIU , Kunyong YU , Jinzhao ZHANG , Qiuyue ZHAO , Shayi SHANGGUAN . Target Tree Tending Optimal Management of Ecological Landscape Forest Coupled with the Scenic Beauty Estimation[J]. Forest and Grassland Resources Research, 2017 , 0(6) : 94 -102 . DOI: 10.13466/j.cnki.lyzygl.2017.06.017
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