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| Spatial distribution of surface soil selenium and its influential factors in a typical selenium-enriched area in Jiangsu Province,China |
| Received:February 22, 2023 |
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| KeyWord:Yixing;soil;selenium;spatial distribution;influential factor |
| Author Name | Affiliation | E-mail | | CUI Xiaodan | Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
Technology Innovation Center for Ecological Monitoring & Restoration Project on Land(Arable), Ministry of Natural Resources, Geological Survey of Jiangsu Province, Nanjing 210018, China
University of Chinese Academy of Sciences, Beijing 100049, China | | | HUA Ming | Technology Innovation Center for Ecological Monitoring & Restoration Project on Land(Arable), Ministry of Natural Resources, Geological Survey of Jiangsu Province, Nanjing 210018, China | | | HUANG Shunsheng | Technology Innovation Center for Ecological Monitoring & Restoration Project on Land(Arable), Ministry of Natural Resources, Geological Survey of Jiangsu Province, Nanjing 210018, China | | | LIAO Qilin | Technology Innovation Center for Ecological Monitoring & Restoration Project on Land(Arable), Ministry of Natural Resources, Geological Survey of Jiangsu Province, Nanjing 210018, China | | | XU Weiwei | Technology Innovation Center for Ecological Monitoring & Restoration Project on Land(Arable), Ministry of Natural Resources, Geological Survey of Jiangsu Province, Nanjing 210018, China | | | REN Jinghua | Technology Innovation Center for Ecological Monitoring & Restoration Project on Land(Arable), Ministry of Natural Resources, Geological Survey of Jiangsu Province, Nanjing 210018, China | | | HUANG Biao | Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
1. Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China | bhuang@issas.ac.cn |
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| Abstract: |
| Yixing, a typical selenium(Se)- enriched area in Jiangsu Province, was selected for the characterization of soil Se spatial distribution and its influential factors. Using statistical methods and correlation analysis, 4 461 surface soil samples (0-20 cm depth) were collected and analyzed. The results showed that the Se content in the surface soil of the study area ranged from 0.06 mg·kg-1 to 1.74 mg·kg-1, with an average value of 0.42 mg·kg-1, which was 1.45 times the national background value (0.29 mg·kg-1) and 2.1 times the mean value of Jiangsu. Its variation coefficient was 43.47%, showing that soil Se contents had a moderate variation. Through semi-variance function analysis, the optimal model of soil Se spatial distribution was spherical, with a nugget effect value of 0.568 and a range of 30 250 m, indicating a strong spatial correlation and a large spatial autocorrelation range, respectively. Overall, the soil Se content was higher in the southern hilly area than in the northern plain of Taihu Lake and higher in the soil formed by weathering of clastic rock parent material than the soil formed from quaternary sediments. Topographic factors and land-use types also impacted garden and wood lands, with higher altitudes and larger topographic relief, and typically had a higher Se content. In addition, the Se content was higher in the soil with lower pH and higher organic matter content. It was also higher in the soil near to metal mines and farther away from lakes and rivers. In summary, parent material should be preferentially considered when it comes to the utilization of Se-enriched land resources and the development of Se industries, followed by soil physicochemical properties and topographic factors. |
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