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| Spatial variation of soil nutrient characteristics around Chaohu Lake based on GIS results |
| Received:November 07, 2022 |
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| KeyWord:Chaohu Lake;soil nutrients;spatial variability;semi-variogram;Moran's I |
| Author Name | Affiliation | E-mail | | TONG Tong | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | | | MEI Shuai | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | | | LIU Ying | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | | | CHANG Junfeng | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | | | LIANG Huazhong | Hefei Agricultural Economic and Technical Service Management Station, Hefei 230000, China | | | FAN Qilong | Hefei Agricultural Economic and Technical Service Management Station, Hefei 230000, China | | | WANG Qiang | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | | | MA Youhua | School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China | yhma@ahau.edu.cn |
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| Abstract: |
| To explore the spatial autocorrelation and variation of soil nutrients around Chaohu Lake, a total of 8 073 soil samples were collected in the study area. Soil pH, organic matter, total nitrogen, alkali-hydrolyzable nitrogen, olsen phosphorus, available potassium, and slowly released potassium were systematically analyzed using GIS technology, geostatistics, and Moran 's I index. The results indicated that the average values of soil pH, organic matter, total nitrogen, alkali-hydrolyzable nitrogen, olsen phosphorus, available potassium, and slowly released potassium were 6.07, 19.97 g·kg-1, 1.16 g·kg-1, 112.95 mg·kg-1, 18.21 mg·kg-1, 130.88 mg·kg-1 and 378.58 mg·kg-1, respectively. The olsen phosphorus showed strong variation, whereas other soil nutrients displayed only moderate variation. The exponential model was the best-fit model for pH, total nitrogen, olsen phosphorus, available potassium, and slowly released potassium, and the Gaussian model was the best-fit model for organic matter and alkali-hydrolyzable nitrogen. Spatial autocorrelation of soil pH and available potassium was moderate, while that of other soil nutrients was weak, indicating that the spatial variation of nutrients was mainly affected by random factors, such as human activities. The spatial autocorrelation of all nutrients was extremely significant, and the spatial correlation order was as follows：olsen phosphorus > available potassium > pH > slowly released potassium > total nitrogen > organic matter > alkali-hydrolyzable nitrogen. In addition, the spatial autocorrelation of olsen phosphorus was significantly greater than that of other nutrients. In general, nutrient distribution was relatively dispersed, with a gradual upward or downward trend in the north-south direction. The areas with high and low nutrient values also had an obvious north-south distribution. |
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