Large-scale soil organic carbon spatial distribution simulation method involving environmental factors

Abstract

The invention discloses a large-scale soil organic carbon spatial distribution simulation method involving environmental factors, relating to the field of digital soil cartography. The method includes the following steps of: 1, overlapping a vegetation type map with a soil type map to generate a combined spatial distribution map of vegetation-soil units, assigning a corresponding pattern spot in the map with the mean value of the soil organic carbon content of each vegetation-soil unit, and thereby obtaining the soil organic carbon mean value spatial distribution curve m(k) with the resolution ratio of 1km; 2, expressing relation between vegetation-soil mean value residuals and the quantitative environmental factors by a neural network model, and thereby obtaining the vegetation-soil mean value residual spatial distribution curve f'(xi, k, yj, k); 3, stimulating the spatial distribution curves of the remained residuals r'(xi, k, yj, k) by an HASM model; 4, at last, adding the m(k) with the f'(xi, k, yj, k) and the r'(xi, k, yj, k) to obtain the stimulation result of the soil organic carbon spatial distribution by the HASM_EF method. According to the large-scale soil organic carbon spatial distribution simulation method involving environmental factors, reference is provided for accurately estimating the national-scale soil organic carbon reserve and researching spatiotemporal changes of large-scale soil property.

Description

technical field [0001] The invention relates to the technical field of soil digital soil mapping, in particular to a method for simulating the spatial distribution of large-scale soil organic carbon by integrating environmental factors. Background technique [0002] Soil is the largest organic carbon pool in the terrestrial surface system. The storage and dynamics of organic carbon in soil directly affect the global carbon cycle. It is an important part of geographical research and the "Future Earth" research program. The high-precision spatial change information of soil organic carbon is not only the basis for accurately estimating regional soil organic carbon storage, but also the basic data for studying the carbon-based greenhouse gas balance and the effective operation of various land surface models coupled with soil information. important input parameters. China's land area is about 6.4% of the world's, and its accurate spatial change information of soil organic carbon...

AI Technical Summary

Problems solved by technology

Previous studies have explored high-precision simulation methods for the spatial distribution of soil properties on a national scale, and have achieved certain results. However, the expression of the effects of different factors in the method still needs to be further improved, and the accuracy of the simulation results also needs to be further improved.

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