地学前缘 ›› 2025, Vol. 32 ›› Issue (5): 511-523.DOI: 10.13745/j.esf.sf.2024.12.129

• 人地耦合调控 • 上一篇    下一篇

黄土高原特色农业区土壤养分微量元素空间分异规律及影响因素

王宏宇1(), 王娟1, 马蓉蓉1, 周伟1,2,3,*()   

  1. 1.中国地质大学(北京) 土地科学技术学院, 北京 100083
    2.自然资源部土地整治重点实验室, 北京 100035
    3.自然资源部矿区生态修复工程技术创新中心, 北京 100083
  • 收稿日期:2024-08-20 修回日期:2024-12-28 出版日期:2025-09-25 发布日期:2025-10-14
  • 通信作者: 周伟
  • 作者简介:王宏宇(1998—),男,博士,主要从事土地复垦、生态修复等研究工作。E-mail: why63@cug.edu.cn
  • 基金资助:
    国家自然科学基金项目(41571508)

Spatial differences in soil nutrient trace element concentrations in a typical agricultural area of the southern Loess Plateau

WANG Hongyu1(), WANG Juan1, MA Rongrong1, ZHOU Wei1,2,3,*()   

  1. 1. School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    2. Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, Beijing 100083, China
    3. Technology Innovation Center for Ecological Restoration in Mining Areas, Ministry of Natural Resources, Beijing 100083, China
  • Received:2024-08-20 Revised:2024-12-28 Online:2025-09-25 Published:2025-10-14
  • Contact: ZHOU Wei

摘要:

黄土高原是我国旱地农业的核心区域之一,探究黄土高原特色农业区土壤微量养分元素空间分布规律及影响因素,对于提高农业生产效率和农田生态保护效果具有积极意义。本研究在实地土壤采样的基础上,利用空间插值构建Mo、Ge、Zn、Mn和Cu等5类土壤微量养分元素空间分布特征,并参照相关文件进行土壤养分分级和计算综合养分指数。最终,结合多种自然、社会因子分析影响因素,提出关于土壤微量元素监测与调节的思考。结果表明,研究区5类微量元素含量均较为缺乏。Mo元素含量值差异较大,空间分布呈现出“东北-西南”走向的分布特征,其他元素普遍呈现东部和北部高于西部和南部的特征。各类元素含量普遍随着与道路和居民点距离的增加和与黄河距离的减少而下降,同时会随着土壤湿度增大或海拔降低而下降。各类元素含量普遍表现为褐土>石灰性褐土>黄绵土>冲积土。土壤微量元素空间分布的研究有助于掌握土壤微量元素丰富或缺乏状态的基础,能够为土壤微量元素监测与调节提供参考依据。

关键词: 土壤微量元素, 黄土高原, 特色农业区, 空间分异

Abstract:

The Loess Plateau is one of the core dryland agricultural areas in China, and exploring the spatial distribution of soil trace elements and their influencing factors in a typical agricultural area of the Loess Plateau is important for improving production efficiency and effectiveness of farmland ecological protection. In this study, a spatial interpolation based on field soil sampling was adopted to determine the spatial distribution characteristics of five soil trace elements, namely, Mo, Ge, Zn, Mn and Cu. Soil composite index calculation with reference to documents related to geochemistry of land quality. The relevant documents related to soil nutrient classification were referred to for calculating comprehensive nutrient indices. Finally, the influencing factors were analyzed in combination with various natural and social factors, and recommendations for soil trace element monitoring and regulation were proposed. The results showed that the contents of five trace elements in the study area were relatively deficient. The values of Mo varied greatly showing a northeast-southwest spatial distribution, while the concentrations of other elements were generally greatest in the east and north. Most elements generally decreased with increasing distance to roads and settlements or increased closer to the Yellow River, and decreased with increasing soil moisture or lower altitude. The contents of various elements generally decreased in the order Cinnamon soil>Calcic cinnamon soil>Loessial soil>Alluvial soil. Studying the spatial distribution of soil trace elements helps researchers understand the richness or deficiency status and can provide a reference for soil trace element monitoring and regulation.

Key words: soil trace elements, Loess Plateau, typical agricultural area, spatial differentiation

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