Spatial Association Analysis Of Biomass And Soil Nutrients In Honghe Nature Reserve

Wetlands are the most valuable ecosystems in the world, which are known as thethree great ecological systems with forest ecosystems and marine ecosystems.Vegetation biomass of wetland is an important indicators to measure the health ofecosystem. Soil environment of wetland is also essential factor for vegetation growth,which is important for plant growth. It is important to study on the spatial associationrelationship between biomass and soil nutrient for the research on ecologicalenvironment of wetlands. Hong-he wetland nature reserve was selected for research. Data from SPOTSimages besides soil nutrient and biomass data measured data from the wild wetlands.Remote sensing extraction of factors and the analysis of correlation between biomasswas analyzed, so linear regression models of biomass and remote sensing with largecorrelation coefficient were built. Spatial distribution of total biomass in the study areaare made by comparing the optimal model. GIS and geostatistical methods werecombined to analyze the spatial variability of soil nutrients in the study area. Theoptimal prediction model was selected to draw the spatial distribution of soil nutrients inthe study area. Then each pixel value of spatial distribution of biomass and soil nutrientsis extracted, whose number is136,795. Biomass and soil nutrient values are classifiedinto5levels. The Apriori algorithm for association rules was improved. The minimumlevel of support was set to2%and the minimum confidence level to45%. MATLABsoftware was used to achieve the improvement of Apriori algorithm. The conclusions that nitrogen element, moisture, organic and pH of soil arestrongly correlated with biomass was made by analysis. When nitrogen element,moisture, organic content in the soil is low, the biomass is significantly reduced. If thecontent is high, biomass is high too, while the biomass is high when PH of soil is low.The other elements are not strongly correlated with biomass from the data. However, allthese elements are important for plants.