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Spatial Variability Of Meadow Soil Nutrients On Wugong Mountain Based On GIS And Geostatistic

Posted on:2016-10-29Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y YuanFull Text:PDF
GTID:2283330470474034Subject:Forest cultivation
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In order to research the spatial variation of meadow soil nutrient in wugong mountain located at Pingxiang of Jiangxi province, this paper selected core scenic area of regional block mountain meadow from wugong mountain jinding to the scenic spot named diao ma zhuang as the research object, collect two layers of meadow soil within depth of 0-20 cm and 20-40 cm at wugong mountain jinding scenic and using the ASI soil nutrient status measurement system analysis, and use the conventional statistics and geostatistics to analyse and reveal the spatial variation of soil nutrient, and use the ordinary kriging interpolation to make map based on GIS,through the analyse of distribution and spatial heterogeneity of soil nutrients, reveal the experimental zone meadow soil nutrient spatial variation law of wugong mountain,to make a comprehensive understanding of the test area meadow soil nutrient status, can not only for scientific fertilization, partition of mountain meadow nutrient management to provide important basis, also helpfully to reveal the variation of soil nutrients in degraded meadow ecosystem, provided ecological restoration theory guide for soil nutrients in the meadow, To guide the restoration technology of the subtropical degraded alpine meadow vegetation and enhance scientific theory reference for subtropical mountain meadow nutrient management.The main analysis conclusion is as follows:(1) the descriptive statistics analysis results of soil nutrients in wugong mountain jinding meadow experimental zone is as follow.on the whole, experimental zone meadow soil in general are acidic and belong to the second classes of organic soil, the various nutrient distribution in meadow soil happened to be a mostly unstable situation, the descriptive statistical analysis of meadow soil nutrient is insufficient to specify the region meadow nutrient status; Based on ASI soil nutrient analysis system of hierarchical situation,most nutrients content of the soil test sample in general at a low levels, in addition to the meadow soil available nitrogen,(the sum of ammonium and nitrate nitrogen), effective iron, effective vertical depth of sulfur in the soil are characterized by a relatively rich conditions, effective zinc content is relatively rich in the upper meadow soil, compared to the lower level of ideal condition, other nutrient elements are characterized by varying degrees of lack of status, and most nutrients content is in the area is in a state of the shortage seriously.(2) the analysis results of meadow soil nutrients spatial variation of wugong mountain jinding experimental area is as follows.the autocorrelation distance A0 of the various nutrients of upper meadow soil in experimental zone, the order from large to small is:organic matter>nitrate nitrogen >200m> available manganese= available calcium=rapidly-available potassium>available copper> 100m>available magnesium>available phosphorus>pH>available boron >available sulfur>30m> ammonium nitrogen> activeacid>available iron > available zinc;the highest for the variation of the organic matter for the 474.6 m, the smallest is made valid by means of zinc is 11.5 m, variation of less than30 m respectively ammonium nitrogen nutrient, active acid, iron, zinc effectively effectively; the autocorrelation distance A0 of the various nutrients of lower meadow,order from large to small is: available boron> organic matter>200m>rapidly-available potassium= available calcium>active acid>>nitrate nitrogen> pH>100m> available magnesium> available sulfur> available phosphorus> available copper >30m> available zinc > ammonium nitrogen>available manganese> available iron.and test on the meadow,the lower soil nutrient spatial autocorrelation distance is greater than the sampling distance of a majority of the nutrients,so the sampling distance is relatively reasonable and effective, most nutrients spatial structure present block distribution, but ammonium nitrogen, effective zinc and iron effectively these three nutrients distribution in the meadow, its block distribution are weaker.The spatial autocorrelation coefficients(C0/C0+C) of a variety of nutrients in the upper meadow soil sorting: available manganese>available calcium> rapidly-available potassium>75%>available copper>nitrate nitrogen>organic matter>25% available phosphorus>available sulfur>ammonium nitrogen>active acid>available zinc >available magnesium>available iron>available boron>pH;The spatial autocorrelation coefficients(C0/C0+C) of a variety of nutrients in the lower meadow soil sorting(C0/C0+C)sorting:available calcium> rapidly-available potassium>75%>available boron >nitrate nitrogen>organic matter>active acid>pH>25%>available copper> available phosphorus>available zinc >available iron>ammonium nitrogen>available sulfur>available manganese > available magnesium; the soil nutrient autocorrelation coefficients in experimental area is greater than 75% can be seen as follows: available manganese,available calcium, available phosphorus, rapidly-available potassium(in the upper meadow soil); available calcium, available potassium(in the lower soil) are strong spatial autocorrelation, and for the space correlation is weak, these nutrient spatial variation is mainly influenced by human activities, such as tourism activities, garbage pollution,artificial grazing. the soil nutrient autocorrelation coefficients in experimental zone is is less than 25% can be seen as follows:, available phosphorus, available sulfur and ammonium nitrogen and active acid, available zinc, available magnesium, available iron,available boron and pH(in the upper meadow soil); available copper, available phosphorus,available zinc, available iron, ammonium nitrogen, available sulfur, available manganese,available magnesium(in the lower soil), they are all characterized by strong spatial correlation, that show the main influence factors of soil nutrients spatial variation in experimental area is natural factors, such as the mountain climate, topography, etcoverall most factors of the spatial variability of soil nutrient in experimental meadow area is natural factors greater than the human factors.(3) the soil nutrient spatial interpolation figure analysis results in the wugong mountain jinding meadow experimental area is as follow,using ordinary kriging interpolation to make map, choosing the best interpolation model for processing, to map a spatial variety of soil nutrients in the middle of the jinding and Diao Ma Zhuang area and v-shaped valley distribution of space variation, found the present nutrient spatial distribution in the jinding, Diao Ma Zhuang and v-shaped valley have regional difference,between four and in the north and south of jinding things in the direction of slope also has difference distribution, a variety of nutrients in the jinding tourist areas and normal meadow area also have bigger difference, appeared in the jinding and v-shaped valley content is high, comprehensive analysis, known mainly for altitude, landform, the cause of the differences between tourism activities and other factors.(4) the results of correlation analysis between soil nutrients in wugong mountain jinding meadow experimental area is as follow..the upper and lower the soil in wugong mountain experimental meadow area, each other of the most soil nutrients have a positive or negative correlation with a significant or extremely significant degree beside available iron and available boron,it show that the relationship between the nutrients is not existed independently, but have a relationship of the mutual influence and restriction, a large amount of nutrients and trace nutrients, is closely related between the nutrient management relations is conducive to each other, this conclusion can be used in transformation of soil physical and chemical properties with some corresponding scientific measures.
Keywords/Search Tags:GIS, Statistics, Wugong mountain, Soil nutrients, Spatial variation
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