Forest and Grassland Resources Research >
Distribution Pattern and Species Diversity of Artificial Vegetation Communities in Sandy-hilly Region of Northwest Shanxi Province,China
Received date: 2017-09-25
Revised date: 2017-11-20
Online published: 2020-09-28
The sandy-hilly region of northwest Shanxi where the severe water erosion and wind erosion happened has the most extremely frail eco-environment of Shanxi province.It’s also important for sand blocking of Jingjintang region.Jiajiayao watershed,located in Youyu County,is one of the most typical ecological fragile areas in sandy-hilly region of north Shanxi province.Based on the field investigation,the composition,structure,distribution,growth characteristics and species diversity among artificial vegetation communities in Jiajiayao watershed were analyzed using the two-way indicator species analysis(TWINSPAN)and detrended correspondence analysis(DCA).The result showed that Pinus tabulaeformis,Pinus sylvestris mongolica,Larix principis-rupprechtii,Populus simonii,Caragana korshinskii and Hippophae rhamnoides were the dominant species of artificial plant communities.Plants in the area had the following problems,Populus simonii degradation,greater proportion of pure forest,high planting density and improper management.Thus,we get the conclusion that in order to enrich the community structure and optimize the ecological function of the plant community,accelerate the renovation of Populus simonii,In the meanwhile,mixed pure forest with arbor,shrub and grass shoud increase with appropriate proportion.The management of artificial vegetation shall be strengthened.Avoiding the effects of excessive human disturbance on plant community development is very important.Moreover,local forestry department should give enough attention to Pinus sylvestris mongolica for its lost natural regeneration ability in study area.
Luan ZHANG , Wei GUO , Suqing LI , Xiaojun WANG . Distribution Pattern and Species Diversity of Artificial Vegetation Communities in Sandy-hilly Region of Northwest Shanxi Province,China[J]. Forest and Grassland Resources Research, 2017 , 0(6) : 60 -66 . DOI: 10.13466/j.cnki.lyzygl.2017.06.011
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