| 江苏典型富硒区表层土壤硒空间分布及影响因素分析 |
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| 引用本文： | 崔晓丹,华明,黄顺生,廖启林,许伟伟,任静华,黄标.江苏典型富硒区表层土壤硒空间分布及影响因素分析[J].农业环境科学学报,2023,42(11):2472-2482. |
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| 作者姓名： | 崔晓丹 华明 黄顺生 廖启林 许伟伟 任静华 黄标 |
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| 作者单位： | 中国科学院南京土壤研究所, 南京 210008;自然资源部国土(耕地)生态监测与修复工程技术创新中心, 江苏省地质调查研究院, 南京 210018;中国科学院大学, 北京 100049;中国科学院南京土壤研究所, 南京 210008;1. 中国科学院南京土壤研究所, 南京 210008 |
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| 基金项目： | 中国地质调查局项目(12120115043201)；江苏省矿地融合试点项目(3220220039)；江苏省自然资源发展专项资金(海洋科技创新)项目(JSZRHYKJ202117) |
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| 摘 要： | 为探究江苏省宜兴市这一典型天然富硒区土壤硒的空间分布及影响因素,采集表层土壤(0~20 cm)4 461件,利用统计学和相关分析方法研究土壤硒的空间分布特征和影响因素。结果表明:研究区表层土壤硒含量范围为0.06~1.74 mg·kg-1,均值为0.42 mg·kg-1,是全国土壤硒元素背景值(0.29 mg·kg-1)的1.45倍,是江苏表层土壤硒含量均值(0.20 mg·kg-1)的2.1倍。土壤硒含量的变异系数为43.47%,表明土壤硒元素呈中等程度变异。半方差函数分析显示,土壤硒空间分布的最优模型为球状模型,块金效应值为0.568,具有较强空间相关性,变程为30 250 m,空间自相关范围较大。研究区土壤硒总体空间分布特征为南部低山丘陵显著高于北部太湖堆积平原,碎屑岩类成土母质风化形成的土壤硒含量高,同时土地利用方式为园林地、海拔较高、地形起伏大的丘陵山区的土壤硒含量也相对较高。土壤理化性质、人类活动对土壤硒的分布也有影响,pH低、有机质含量高的土壤硒含量高,距离金属矿点近、距离湖泊河流越远的土壤硒含量高。通过分析土壤硒含量的影响因素可知,在选取地区开发利用富硒土地资源、发展富硒特色产业时优先考虑的因素是成土母质,其次为土壤理化性质和地形地貌。
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| 关 键 词： | 宜兴市 土壤 硒 空间分布 影响因素 |
| 收稿时间： | 2023/2/22 0:00:00 |
Spatial distribution of surface soil selenium and its influential factors in a typical selenium-enriched area in Jiangsu Province,China |
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| CUI Xiaodan,HUA Ming,HUANG Shunsheng,LIAO Qilin,XU Weiwei,REN Jinghu,HUANG Biao.Spatial distribution of surface soil selenium and its influential factors in a typical selenium-enriched area in Jiangsu Province,China[J].Journal of Agro-Environment Science( J. Agro-Environ. Sci.),2023,42(11):2472-2482. |
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| Authors: | CUI Xiaodan HUA Ming HUANG Shunsheng LIAO Qilin XU Weiwei REN Jinghu HUANG Biao |
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| Affiliation: | 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; Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China;1. Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China |
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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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| Keywords: | Yixing soil selenium spatial distribution influential factor |
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