Study On The Spatial Variability And Suitability Of Forest Vegetation Habitat Factors

Forest vegetation is one of the earth’s surface the most important ecosystems; it is a complex structure, including Vientiane, exuberant life and giant system with specific functions. From the point of view of geography, but also has a very significant distribution space, that is, within a certain geographic area, there must be appropriate to the geographical environment forest vegetation occurs, it is not accidental that the biological evolution of the rules in terms of the specific the property hosts a specific geographical topography, soil and meteorological physical environment, these elements constitute the collection of forest vegetation habitat factors, and spatial variability pattern habitat factors determine the distribution pattern of forest vegetation communities. Therefore, the distribution pattern of the macroscopic identification of forest vegetation become ecological environment construction, by analyzing the spatial distribution of practical significance and variability of the relationship between the economic and social environment on the carrying capacity of the national ecological civilization construction is very important. In this paper, the national land area on a 1:10.000 scale was rectangular mesh. Covering mainland grid system, grid embedded in a number of attribute data, through multi-source remote sensing data, soil factors in the study area (potassium pHospHate and organic matter content), topograpHic factors (coordinates, elevation), meteorological factors (sample points with an Average annual rainfall, temperature, humidity) and forest vegetation cover (NDVI) data such as different scale extraction grid to form a rectangular grid array-based data, and the establishment of a FM-SOTER database. By sub-study system to reveal spatial distribution of forest vegetation born Chinese habitat critical factor variability and geographical correlation, and through the forest vegetation at the core of ecological factors, factors associated with pHysical space and integrated factors, combined with modern geography theories and methods of information science, research students throughout China within the key factors and variability of spatial distribution and variability. The main conclusions are summarized as follows:Ⅰ.The distribution of forest vegetation and soil types are closely relatedCalling FM-SOTER database calls rectangular grid, the spatial trend data sets China Meteorological key factor forest, the average precipitation pAVG variability(Euclidean distance) in the degree of longitude 86.2, latitude 86.0; third-order trend model more accurately reflects the average precipitation trends in the amount of space law, in the longitude and latitude distribution appears as anisotropy. A high precision maximum precipitation trend in the third-order model of latitude, the standard error is zero. Minimum precipitation PMIN variability(Euclidean distance) was 91.6 in the latitude, slightly larger than 91.4 degrees longitude variation, indicating that the difference in the latitude rainfall direction is larger than the longitudinal direction, and finally through the first, second and third-order trend model parameter solver showed third-order trend model is more accurate to describe the spatial variability of the largest law precipitation. The average humidity HAVG variation(Euclidean distance) in the longitude 38.4 degrees; in the latitude 46.6 degrees variation(Euclidean distance), it’s bigger than the longitude latitude direction, third trend model more suitable space average humidity description.Ⅱ. Distribution of forest vegetation and soil types are closely relatedChinese forest soil category is very large, up to 10 soil orders,46 soil types,170 sub-categories, with brown coniferous forest soil, dark brown, red soils covering the largest, accounting for about 80% of forest land. District 21 categories of typical forest soil spatial fuzzy clustering found that, although with the increase of the threshold, increasingly detailed classification of forest soils, but because of the limited sample test data, errors can lead to bias individual information clustering, When λ is 0.947, The forest soil in eight classes reflect the best clustering forest soils.III. The terrain factors spatial variability of forest vegetation has a strong regularityIn the statistics of the 737,280 total longitude meshes, where the elevation of the minimum value is 0.515m, the maximum is 6786.815m, grid average formed spatial grid for 1553.684m, and standard deviation is very large, up to 966.190. Latitudinal direction hAVG the same number of meshes, whose minimum 0.279m, the maximum value 6787.831m, than the original Aaverage increase 0.095m, the reduced standard deviation 0.039. Spatial variability(Euclidean distance) of the maximum and minimum elevation showed a strong two-way consistency. Characterization of latitude and longitude direction variability(Euclidean distance) maximum elevation is 62.2; likewise, the latitude and longitude of characterization minimum elevation variation of the Euclidean distance is 67.6. Eliminate the cause of lack of precision, revealed complexity of China’s topography, but also high-precision study of large-scale regional geograpHic information demanding higher. Elevation trend first order model to the third-order model by t-test, correlation analysis and co linearity statistics show that its order, the higher the accuracy of the model fit. And a rectangular grid in the largest third-order trend elevation and minimum elevation model parameters, and larger than the latitude longitude direction, which is also consistent with the trend of Chinese macro terrain.IV. Research on Forest vegetation habitat suitability intervalCalculated using standard deviation ellipse area distribution rate of forest vegetation categories is 51.75%, broadleaf forest and woodl and in the national had the largest share, is 68.11%, and the Average error rate is 31.61%, and its dispersion is 0.097; forest vegetation subclass distribution rate 9.38%, subalpine evergreen temperate coniferous forests in the national had the largest share, the distribution was 30.23%, and its dispersion is 0.032. China forest vegetation SDE main direction is the "southwest-northeast", but the center of the ellipse offset larger; and the direction of the forest vegetation in three subclasses, the direction of SDE≤45°contains 9 types of forest vegetation, [>45° U≤90°] contains 27 classes, [>90°] contains 27 thin categories.In summary, this study divided national grid theory, the use of spatial interpolation and trend surface analysis, three-dimensional model to calculate the distribution of habitat critical factor, the study of the distribution grid model habitat factors laid the foundation provided reference. The use of standard deviation ellipses, obtained the spatial distribution of forest vegetation categories ellipse major axis, minor axis, ellipse direction (azimuth), the area ratio of the center coordinates and a variety of forest vegetation. Forest vegetation suitable for survival geographic range, including soil suitability, latitude range, longitude and elevation range of the interval, accurately grasp of the forest vegetation habitat suitability for nationwide forestation decisions provide a reference.