基于多源数据的松嫩平原西部土壤养分空间变异与分区管理
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

S158

基金项目:

国家自然科学基金联合(U23A2024);


Research on Soil Spatial Variation and Management Zoning in the Western Songnen Plain Based on Multi source Data
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    松嫩平原西部是我国重要的商品粮基地之一,但区域粮食产量空间差异大,部分地区长期受到土壤盐碱化和土壤肥力的制约。土壤养分在空间上的分布差异性,增加了统一施肥与农田管理的实施难度,进而影响了农业生产的稳定性与可持续性。因此,系统揭示松嫩平原西部土壤属性的空间分异规律,并在此基础上划分科学合理的管理分区,对于实现精准施肥和推动农业可持续发展具有重要意义。本研究系统采集并测试了 61 个表层(0~20 cm)土壤样品的pH值、电导率(EC)、全氮(TN)、全磷(TP)、总有机碳(TOC)和含水率(MC)等指标,综合运用统计分析、地统计学和模糊C均值聚类(FCM)等方法,并基于模糊性能指数(FPI)和归一化分类熵(NCE)确定最优分区数,通过方差分析(ANOVA)及最小显著差异法(Least Significant Difference, LSD)对分区结果进行验证。研究结果显示:(1)土壤整体呈弱碱性,pH空间变异不大(CV=8.7%),而EC、TN、TP、TOC和MC均表现为中等程度变异(CV=50.3%~76.5%);(2)土壤pH值与TN、TP和TOC均呈显著负相关(P < 0.01),而TN、TP与TOC之间则呈显著正相关(r= 0.724~0.963),表明土壤养分在空间上具有协同变化特征;(3)土壤中EC和MC表现出强空间相关性,主要受地形、地下水埋深、土壤母质等结构性因素控制;土壤的pH值、TN、TP和TOC则表现为中等空间相关性,受结构性与随机性因素共同影响;(4)基于FCM聚类分析,研究区被划分为4个土壤管理分区(MZ1~MZ4)。MZ1主要分布于松原市南部和白城市西部,土壤养分水平处于四个分区中的中等水平。MZ2大部分位于松原市西部和长春市西部,小部分位于白城市西部,土壤养分水平较高。MZ3主要分布在白城市,土壤养分水平较低,盐碱化问题较为突出。MZ4分布于长春市,土壤肥力最高,盐碱化程度最低。各分区的面积比例均衡(20.83%~29.03%),土壤属性在分区间差异显著(P<0.01),整体呈现自西南至东北土壤肥力逐渐递增、盐碱化程度递减的空间格局。

    Abstract:

    The western Songnen Plain is one of China’s important commodity grain bases. However, there is significant spatial variation in regional grain yields, with some areas being constrained by soil salinization and soil fertility. The spatial variability in soil nutrient distribution increases the difficulty of uniform fertilization and farmland management, thereby affecting the stability and sustainability of agricultural production.Therefore, it is essential to systematically reveal the spatial variation of soil properties in the western Songnen Plain and, based on this, establish scientifically reasonable management zones for precise fertilization and sustainable agricultural development.In this study, 61 surface (0–20 cm) soil samples were systematically collected and tested for pH, electrical conductivity (EC), total nitrogen (TN), total phosphorus (TP), total organic carbon (TOC), and moisture content (MC). Statistical analysis, geostatistics, and fuzzy C-means clustering (FCM) methods were applied. The optimal number of management zones was determined based on the fuzzy performance index (FPI) and normalized classification entropy (NCE), and the results were validated using analysis of variance (ANOVA) and the Least Significant Difference (LSD) method.The results show that: (1) Soil is generally weakly alkaline, with small spatial variation in pH (CV = 8.7%), while EC, TN, TP, TOC, and MC exhibit moderate spatial variation (CV = 50.3%–76.5%); (2) Soil pH is significantly negatively correlated with TN, TP, and TOC (P < 0.01), while TN, TP, and TOC are significantly positively correlated with each other (r = 0.724–0.963), indicating a coordinated spatial variation of soil nutrients; (3) EC and MC show strong spatial correlation, primarily influenced by structural factors such as topography, groundwater depth, and soil parent material. pH, TN, TP, and TOC show moderate spatial correlation, influenced by both structural and random factors; (4)Based on FCM clustering analysis, the study area was divided into four soil management zones (MZ1–MZ4). MZ1 is primarily distributed in the southern part of Songyuan and the western part of Baicheng, with moderate soil nutrient levels among the four zones. MZ2 is mostly located in the western parts of Songyuan and Changchun, with a small portion in the western part of Baicheng, and has higher soil nutrient levels. MZ3 is mainly found in Baicheng, with lower soil nutrient levels and prominent salinization issues. MZ4 is distributed in Changchun, with the highest soil fertility and the lowest salinization. The area proportions of the four zones are balanced (20.83%–29.03%), with significant differences in soil properties between the zones (P < 0.01). Overall, there is a spatial pattern of increasing soil fertility and decreasing salinization from southwest to northeast.

    参考文献
    相似文献
    引证文献
引用本文

王梦璐,鲁力,王史年,等. 基于多源数据的松嫩平原西部土壤养分空间变异与分区管理[J]. 科学技术与工程, 2026, 26(27): 11662-11673.
Wang Menglu, Lu Li, Wang Menglu, et al. Research on Soil Spatial Variation and Management Zoning in the Western Songnen Plain Based on Multi source Data[J]. Science Technology and Engineering,2026,26(27):11662-11673.

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2026-01-30
  • 最后修改日期:2026-09-15
  • 录用日期:2026-04-07
  • 在线发布日期: 2026-09-30
  • 出版日期:
×
喜报|《科学技术与工程》3篇论文成功入选 “第二十八届中国科协年会影响力提名论文”
2026年会通知 | “技术经济学驱动智能经济生态构建与治理变革”——中国技术经济学会第三十三届学术年会(2026)会议通知暨征文启事(第一轮)
亟待确认版面费归属稿件,敬请作者关注