[1]ZHANG Zhijian,LIU Yuanqiu,WU Chunsheng,et al.Spatial Distribution Characteristics of Forest Soil Nutrients in Jiangxi Province Based on Geostatistics and GIS[J].Research of Soil and Water Conservation,2018,25(01):38-46.
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Spatial Distribution Characteristics of Forest Soil Nutrients in Jiangxi Province Based on Geostatistics and GIS
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
25
Number of periods:
2018 01
Page number:
38-46
Column:
Public date:
2018-02-28
- Title:
- Spatial Distribution Characteristics of Forest Soil Nutrients in Jiangxi Province Based on Geostatistics and GIS
- Keywords:
- forest; soil nutrients; spatial variation; geological statistics; GIS
- CLC:
- S714.8
- DOI:
- -
- Abstract:
- The soil was a natural complex with complicated morphological and evolutionary processes. In the process of soil formation, the nutrient of soil was highly different due to different natural and environmental factors. Based on the soil nutrient data of 5 soil layers (0—10 cm, 10—2—0 cm, 20—30 cm, 30—50 cm and 50—100 cm) in 340 forest soil profiles in Jiangxi Province, the study used geostatistical methods and GIS techniques to analyze the spatial variability and the spatial distribution characteristics of SOM, TN and TP in forest soils of Jiangxi Province. The results showed that:the soil SOM and TN decreased with the depth of soil layer, while the trend of TP was not obvious; the soil SOM high-value area is in the northeast and west, but TN has obvious north-south differentiation, the content of TN in the northern forest soil was higher than that in the south; the phosphorus is very deficient, there is no significant difference across the province. The soil nutrient contents in the forest soils of Jiangxi Province were influenced by the vegetation types and soil types, and the soil nutrient contents decreased in the order:brown soil > yellow soil > red soil, bamboo > broad-leaved forest > coniferous forest. The coefficients of variation of SOM ranged from 77.88% to 123.73%, leading to strong dispersibility and variability. But the data for TN and TP showed moderate variability. The spatial variability of forest soil nutrients in Jiangxi Province can be well described by spherical model, exponential model and Gauss model. The spatial autocorrelation of TN and TP in top soil and deep soils was stronger, and was weaker in the middle soil layer. While the spatial autocorrelation of SOM decreased with the increase of soil depth. According to the analysis, differences in vegetation factors and sampling methods may lead to large random variation. The autocorrelation distances of SOM and TN in top soil do not exceed 100 km, but they were greater than 200 km in 50—100 cm layer, resulting in greater similarity. For TP, the autocorrelation distance is small throughout the soil and remains between 19～75 km. In the vertical direction, the contents of SOM and TN in the soil layer are obviously fading, which are rich in 0—10 cm soil layer and moderate in 50—100 cm soil layer. TP content in the soil layer was not obvious. And phosphorus deficiency in forest soil is very significant in Jiangxi Province. The soil nutrient contents of mountainous forest in Jiangxi Province were significantly higher than those in hilly forest, and the soil nutrients were decreasing from the border mountainous area of Jiangxi Province to the middle part of Jitai Basin.
- References:
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1900-01-01