Correlation Study Of Vegetation And Soil On The Typical Grassland Based On Multi-source Data

This thesis is based on the experiments carried out on a trial area of the west ujimqin. The wavy high plains, slopes and hilly terrain area were chosen. Each plot selected 150 plots, obtained 6750 ground survey data and satellite remote sensing data of three consecutive years,The vegetation coverage,Average height of plant and the plant biomass used as the driving factors of the vegetation, the thickness of thesoil and and the soil moisture used as the driving factors of the soil, were determined the correlation each other.taking the vegetation cover as the objective function,The regression analysis were executed with other factors,and simultaneously the results of interpolation with index calculation using satellite remote sensing data were verified,the vegetation coverage by satellite remote data and other factors the best regression model is achieved, Furthermore, an effective, reasonable and practical theory methods is established. The thesis provides the criteria of grassland degration protection and the ecological assessment. The conclusions of the thesis are followed:1.The variance analysis on the vegetation coverage, the average height of plant,the thickness of the soil, the plant biomass, the soil moisture is carried out, then a correlation analysis among them behaves as well. Finally, a related model from vegetation coverage and others factor is obtained. The result of the application of the model showed that the vegetation cover and the average plant height and the plant biomass and the thickness of the soil and the soil moisture’ correlation coefficient are 0.402, 0.592, 0.237, 0.573, reached a middle relevance, this indicated that the change of the vegetation coverage could reflect the change of the other main elements basically.2.Start from the intrinsic link and the interaction between the vegetation, the soil, the grassland degeration, and applicate the spatial statistics, Interpretate the typical grassland soils and the characteristics of small-scale structure space of vegetation and the regulation of its evolve. Analysed the relevance between the soil and the vegetation. Different from the other factor’s acquirement, the vegetation coverage could be got efficiently through the remote sensing data. Taking the vegetation coverage as the objective function to conduct a regressions analysis according to difference landform, get a regression model through a mutual inversion between the data of vegetation coverage got from the remote sensing and the other factors.Y denotes the vegetation coverage,X1 denotes the plant biomass,X2 denots the soil moisture,X3 denotes the thickness of the soil,X4 denotes the height of the plant,an equation obtained that followed: 4321?????169.0177.0339.4049.0839.5 xxxxy, Determine the evolution of grassland degradation according to the change of the soil feature and the vegetation to provide the science basis for the reconstruction of the grassland and provide technical support to the country’s sand plains treatment project.3.According to the vegetation and the soil sample experiment data and the remote sensing data during the same period,using the Arc GIS spatial analyst to conduct a ecology spatial interpolation analysis to the vegetation coverage and conduct a normalized factor computation using the image data simultaneously, in order to determine the vegetation coverage,conduct a spatial overlay analysis with the calculated result and the interpolation to get the similar rates in three sampled grassland in 2011-2013:91%,91.9%,90.6% in 2011;91.4%,90.4%,90.7% in 2012;90.9%,91.4%,91.5% in 2013.It demonstrates that the correctness of deducting the degeneration of the grassland through calculate the vegetation from the remote sensing data,proposed a technical methods of monitoring the typical grassland and the space of the soil that based on the remote sensing data,may providing a warning system and a tool of monitoring for the protection of the typical grassland.4.Calculate the vegetation coverage,which got from the remote sensing data in three sampled areas, according to the regression model of the vegetation cover and the natural grassland’s degeneration, desertification, salinization’s graded rank parameter, define the grade of the grassland’s degeneration according the vegetation cover of 0-12%(heavy degeneration), 12%-36%(Middle degeneration), 36%-48%(less degeneration), above 48%(unclearly degeneration), the calculated result shows the percent of heavily degenerated area from 2011-2013 : wavy landform 8.87%, 0.96%, 2.70%;slope landform 20.43%, 2.09%, 4.61%; hilly landform 26.17%, 4.00%, 7.91%. Changes of vegetation coverage were concern with the last month’s rainfall and holding water capacity in different landforms, According to comprehensive analysis rainfall and different landforms on June from 2011 to 2013, in 2011,degradation degree of vegetation is bad, is good in 2012 and 2013, but there are also performance of degradation.