Study On Vegetation Restoration In The Felling Area Of Larix Gmelinii Forest

In this paper,the principal component analysis(PCA)was used to evaluate the vegetation regeneration,plant diversity and soil chemical properties of The larch forest community in The north of DaxinganMountains.It provides scientific basis for the sustainable development of the ecosystem and the rational exploitation and utilization of forest resources.The main conclusions are:1.Under the same cutting years,the proportion of seedling renewal trees in different cutting sites was:>in gradual cutting sample sites and>in both cutting sites.The regeneration effect is different with different cutting methods.The diversity of community species showed obvious differences in different recovery periods.With the growth of recovery period,the diversity of understory plants increased,and the number of understory species increased occasionally.Harvesting methods have an important effect on community plant diversity.The undergrowth environment of the deciduous pine forest in Larixgmelinii tends to be stable after a certain recovery period.2.The effects of different recovery years and cutting methods on soil chemical properties were significantly different,and the improvement effect of gradual cutting on soil chemical properties was better than that of clear cutting.Comparing the significance of cutting methods in different years on the physical and chemical properties of soil,there was a significant difference between the cutting marks in 1987 and 2014,and there was no significant difference between the cutting marks in 2009,1987 and 2014.Objective harvesting disturbance increases soil nutrients and is beneficial to natural forest regeneration.3.12 evaluation indexes affecting vegetation and soil were selected and principal component analysis was used to evaluate the recovery capacity of the community of larch under different cutting methods.With the growth of recovery years,the recovery ability of larch forest increased,and the recovery ability of gradual cutting plot was better than that of clear cutting plot.