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Spatial And Temporal Evolution And Driving Force Analysis Of Fractional Vegetation Coverage In Shanxi Province

Posted on:2023-10-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y J ZhangFull Text:PDF
GTID:2530307127486174Subject:Surveying and mapping engineering
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With the deepening of land use and the acceleration of urbanization,the impact on surface vegetation has been continuously strengthened.Studying the temporal and spatial changes of vegetation coverage and its influencing factors can provide reference for the construction of regional ecological civilization and ecological environmental protection.This paper takes Shanxi Province as the research object.First,the Sen trend analysis method,stability analysis method,and rescaled range analysis method are used to study the spatiotemporal distribution and evolution process of vegetation coverage in Shanxi Province from 2000 to 2020.The relationship between natural factors such as topographic factors and unnatural factors such as GDP and population and vegetation coverage provides a reference for the comprehensive land improvement and ecological restoration,urban organic renewal,and rural revitalization carried out in Shanxi Province during the 14th Five-Year Plan period.The main conclusions are as follows:From the time point of view,the inter-annual vegetation coverage shows an increasing trend,with an increase rate of 0.16%/a;in terms of seasons,spring,summer,and autumn show an increasing trend,with an increase rate of 0.40%/a and 0.31%/a,respectively.0.01%/a;it showed a decreasing trend in winter,and the decreasing rate was-0.01%/a;in terms of months,it showed a decreasing trend in January,February,and December,and the remaining months showed an increasing trend.From the perspective of spatial distribution,the study area shows the spatial distribution characteristics of low vegetation coverage in the urban area of the basin and its surrounding areas,and high vegetation coverage in the surrounding hills and mountains.The stability of vegetation coverage in the study area from 2000 to 2020 showed that most areas were in a stable state,with slight fluctuations and heavy fluctuations and concentrated characteristics.The characteristics of the distribution are concentrated,but the spatial differences are not obvious.The correlation between the annual average vegetation coverage and the annual average precipitation in Shanxi Province is the highest 0.90,and the highest correlation with the annual average temperature is 0.84.The area where the annual average vegetation coverage is positively correlated with the average annual temperature accounts for 41.02%of the area of the study area,mainly in western Shuozhou,central and western Xinzhou,and central Luliang,among which 39.03%are significantly positively correlated;Negatively correlated areas accounted for 58.98%of the study area,and were mainly distributed in the eastern part of Datong City,the eastern part of Xinzhou City,and the northern part of Taiyuan City,among which the significant negative correlation accounted for 52.28%.The area where the annual average vegetation coverage is positively correlated with the average annual precipitation accounts for 72.60%of the area of the study area,mainly distributed in Luliang City,Taiyuan City,Datong City,Shuozhou City,and Linfen City.Negatively correlated areas accounted for 27.4%of the study area,and were mainly distributed in the east of Xinzhou City,Jinzhong City,the Taihang Mountains in the east of Changzhi City,and the south of Jincheng City,of which 26.09%were significantly negatively correlated.From the perspective of elevation,the vegetation coverage in the study area increases first and then decreases with the increase of elevation;from the perspective of slope,the vegetation coverage of flat slopes is the lowest,with an average value of 0.35,and the vegetation coverage of steep slopes is the highest,with an average value of 0.70.;From the aspect of the slope,the vegetation coverage on the flat land is the lowest,with an average value of 0.31,and the vegetation coverage on the other slopes is above 0.40,indicating that the vegetation growth in the study area is weakly affected by the aspect factor in the terrain.By analyzing the land use data of the study area in 2000,2010 and 2020,it was found that the cultivated land area in the study area continued to decline,with a decrease of 0.65%and 1.47%respectively in the two 10 years;the forest area continued to increase,and the two 10 years The annual growth rate was 0.15%and 0.24%respectively,and the construction land area also continued to increase,with an increase of 0.38%and 2.82%respectively in the two 10 years,and the rest of the land use types remained basically unchanged.The average annual vegetation coverage of different land use types is different,among which the annual average of forest land is the highest,which is higher than 0.6 all the year round,and the annual average vegetation coverage of construction land has been in a low state,basically maintained at 0.2.By calculating the vegetation coverage of GDP and population density in different intervals,on the whole,vegetation coverage is inversely proportional to GDP and population density.The correlation coefficient between vegetation coverage and population in the study area ranges from-0.97 to 0.97,and the average correlation The coefficient is-0.06,the correlation coefficient between vegetation coverage and GDP in the study area ranges from-0.99 to 0.99,and the average correlation coefficient is 0.18.Through residual analysis,it is found that the areas where human activities have negative interference to vegetation coverage account for 37.22%of the study area,mainly distributed in southern Linfen,Changzhi,Yuncheng,Jincheng and Datong,eastern Xinzhou and Taiyuan Basin The areas with positive interference accounted for 62.78%of the study area,mainly in the eastern part of Luliang City,the central and southern part of Taiyuan City,the western part of Xinzhou City,Jinzhong City and Yangquan City.
Keywords/Search Tags:Fractional vegetation coverage, Temporal and spatial variation, Influencing factors, Shanxi Province
PDF Full Text Request
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