Study On The Influence Of The Social Economy On Ecological Quality In The Distribution Area Of Yunnan Snub-nosed Monkey

With the continuous development of the social economy,the development of the social economy and the development of the ecological environment have become dysfunctional.The distribution area of Yunnan snub-nosed monkeys is rich in natural resources,and it is also one of the regions with the most abundant biodiversity in China.It is of great significance to protect the distribution area of Yunnan snub-nosed monkeys.Therefore,this article takes the distribution area of Yunnan snub-nosed monkeys as a study area to study the impact of social economy on ecological quality.This article is based on the socioeconomic data of 3133 natural villages in the study area,344 plot review data,and the land use distribution maps of the study area in1990,2000,and 2017.Principal Component Analysis?PCA?,ArcGIS spatial analysis and Eviews correlation analysis to study the impact of socio-economic factors on the ecological quality of the golden snub-nosed monkey distribution area;the impact of social and economic development on ecological quality;Identification and analysis,the results are as follows:?1?According to the ecological indicator of the plot,the ecological quality of the study area is graded and graded,34 plots with ecological grade 1 are included,accounting for 9.9%of the total plot and 51 plots with ecological grade 2,accounting for the total sample.There are 55 plots with an ecological grade of 3,accounting for16%of the total plots,79 plots with an ecological grade of 4,23%of the total plots,and 125 plots with an ecological grade of 5,accounting for a total of 36.3%of the sample plot,the overall deviation of the ecological quality of the sample plot.?2?According to the principal component analysis,extract 8 principal components from 30 social economic indicators₁?₂?₃?₄?₅?₆?₇?₈are selected as the natural village socioeconomic factors,and the agricultural population economic factors?₁?was significantly negatively correlated with ecological quality.The land endowment factor?₂?was significantly negatively correlated with ecological quality.The energy scale factor?₈?was significantly negatively correlated with the ecological environment quality.The educational level factor?₄?and the ecological environment quality were Significant negative correlation,partial remoteness factor?₃?,forestry income factor?₅?,economic forest fruit endowment factor?₆?,secondary and tertiary industry income factor?₇?and no significant correlation with ecological environment quality.?3?Based on the principal component analysis,the comprehensive scale score of natural villages is calculated and divided into 10 levels.The distribution of natural villages in the study area shows that the natural villages in the north are scarce and small in scale,and the natural villages in the south are dense and large.The scale of natural villages is significantly negatively related to ecological quality The relationship?P<0.1?,the distance from the natural village and ecological quality were significantly positively correlated?P<0.05?.?4?According to the Habitat Quality module in the InVEST model,the average ecological quality of the study area in 1990 was 0.661,the average ecological quality in 2000 was 0.657,the average ecological quality in 2017 was 0.656,and the ecology of the study area from 1990 to 2017 The quality showed a clear gradual decline.Among them,the area with obvious decline in ecological quality accounted for 1.4%,the area with decline was 0.2%,the area with rise was 0.2%,the area with obvious rise was0.3%,and the area with decreased ecological quality was significantly larger than the area with rise.The significant decline areas were mainly concentrated in Deqin County,Weixi County,and Lanping County,where the study area was located;the changes in the quality of the ecological environment in the study area showed a negative correlation with changes in population and GDP.?5?The potential danger distribution map of the study area shows that there are few dangerous areas in the north and low risk,and many dangerous areas in the south and high risk,which coincides with the distribution of natural village levels in the study area.