| Soil organic matter(SOM) is an important part of the soil. SOM includes a variety of organic products and life activity of microorganisms, plant and animal residues. It constitute the core material composite soil colloids, soil physical, chemical and biological processes. The change in soil organic matter has a significant impact on the quality of farmland, but also affects the sustainable development of farming and food security. For a long-term sense, it has a certain theoretical and practical significance on balancing the greenhouse effect and climate change. This paper analyzes the relationship between cognition and the pattern and process of exploring the main cause of soil organic matter in the process. On this basis, future changes in soil organic matter are predicted.The study has some guidance on soil quality upgrade in the future, coordination soil fertility, optimizing agricultural planting structure and farming system.Through access to all relevant documents and Statistical Yearbook data obtained in 1980, and soil organic matter content of the data samples in 2008, and the processes associated with soil organic matter factor data. Exploration of space by geostatistical methods of soil organic matter content of the two periods of distributions. SOM coupling pattern is obtained by spatiotemporal coupling operation. The relationship between the patterns and processes are analyzed, and the organic matter changes are predicted in the future. On the basis of the classification of different management zones soil science, the research results are as follows:(1) By the second national soil survey data and large agricultural survey data obtained samples of soil organic matter. To compensate for lack of data points, the use of BP neural network interpolation sampling point encrypte, encryption to 312 sampling points. Through statistical analysis, low soil organic matter content in 1980; in 2008 a higher soil organic matter content.(2)The use of geostatistics method for organic samples data from two periods of semi-variogram modeling, identify the exponential model can better simulate the conditions of organic samples. Analysis of results in 1980 organic content of soil spatial variability is large, in 2008 the small spatial variability of soil organic matter, and in recent decades mainly due to ongoing process of chemical fertilizer, straw, planting green manure, also with regionalized variables of different organic farmland to enhance efforts to implement the project due to the randomness of the increase on the other hand also with the land use patterns change.(3) Through improved methods of soil organic matter kriging space mapping the distribution of the two periods, the whole discovery from 1980 to 2008 was to enhance the overall trend of soil organic matter. The Hebei region SOM 1980 low rise year changed significantly; dam in northern, western and eastern coastal areas of the Taihang Mountains SOM content decreased. In the west of Shijiazhuang, Xingtai, northern Baoding, Eastern Tangshan, SOM content increased.(4) Distribution of soil organic matter through two periods of time and space to get coupled analysis of spatial and temporal coupling of soil organic matter distribution. Through superposition county administrative data mapping and cluster analysis to obtain the temporal coupling patterns of change in soil organic matter.(5) Statistical Yearbook and survey data, access to value and soil organic matter associated with the process factors in both periods, after coupling calculation, the amount of change that is associated with the organic matter influence the change process. Regression analysis patterns and processes through local spatial relations and patterns of change in soil organic matter is most closely is the total sown area change, the amount of change sown crops, fertilizer use variation, change the value of the total power of agricultural machinery four factors. Finally Logstic and spatial regression equation to predict the spatial variation of soil organic matter during 1980 and 2020.(6) Combined with the above analysis and the natural, economic situation. Soil management science partition of Hebei Province takes on different partitions of different measures to ensure soil fertility, protects the sustainable development of agriculture in all regions. |
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