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应用生态学报 ›› 2024, Vol. 35 ›› Issue (12): 3497-3506.doi: 10.13287/j.1001-9332.202411.032

• 综合评述 • 上一篇    下一篇

基于探索性因子分析的土壤生物健康评价

杜晓芳1, 李英滨1*, 白杨1,2, 刘笑彤3, 张晓珂1, 梁文举1, 李琪1   

  1. 1中国科学院沈阳应用生态研究所, 沈阳 110016;
    2中国科学院大学, 北京 100049;
    3辽宁省农业科学院植物营养与环境资源研究所, 沈阳 110161
  • 收稿日期:2024-03-30 接受日期:2024-09-03 出版日期:2024-12-18 发布日期:2025-06-18
  • 通讯作者: *E-mail: liyingbin@iae.ac.cn
  • 作者简介:杜晓芳, 女, 1993年生, 副研究员。主要从事土壤生态学研究。E-mail: dxf@iae.ac.cn
  • 基金资助:
    国家自然科学基金联合基金项目(U22A20501)、国家重点研发计划项目(2022YFD1500202,2023YFD1500701,2023YFD-1500901)、中国科学院青年创新促进会(2023203)和辽宁省自然科学基金联合基金项目(2023-BSBA-25)

Soil biological health assessment based on exploratory factor analysis

DU Xiaofang1, LI Yingbin1*, BAI Yang1,2, LIU Xiaotong3, ZHANG Xiaoke1, LIANG Wenju1, LI Qi1   

  1. 1Instiute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
    2University of Chinese Academy of Sciences, Beijing 100049, China;
    3Institute of Plant Nutrition and Environmental Resources, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
  • Received:2024-03-30 Accepted:2024-09-03 Online:2024-12-18 Published:2025-06-18

摘要: 土壤生物健康评价是土壤健康评价的重要组成部分,对于我们从生物视角洞察土壤过程的变化至关重要。然而,目前的土壤健康评价大多数是基于土壤物理和化学指标进行的,如何利用土壤生物指标开展土壤健康评价尚没有统一的方法。本文梳理了土壤健康评价的发展历程,提出了基于探索性因子分析将土壤健康评价体系的“降维”和累积正态分布函数的“评分”纳入到土壤生物健康评价的方法,并利用该方法对黑土旱地田块尺度、区域尺度土壤生物健康状况进行分析。结果表明,探索性因子分析能够在多个维度上体现土壤生物健康状况,有利于因地制宜地制定土壤健康保育的政策或措施。研究结果体现了土壤生物及其互作网络在土壤健康评价中的重要作用,可为利用土壤生物指标开展土壤健康评价提供重要的技术支撑。

关键词: 土壤健康, 土壤生物指标, 因子分析, 累积正态分布函数

Abstract: Soil biological health assessment is an integral component of soil health evaluation, providing crucial insights into soil processes from a biological perspective. However, current soil health assessments primarily rely on soil physical and chemical indicators, lacking standardized methods and framework for incorporating soil biological indicators. We reviewed the development of soil health assessment and proposed a method, which incorporates the ‘dimension reduction’ of soil health index evaluation system using exploratory factor analysis and the ‘scoring’ based on cumulative normal distribution function into the soil biological health assessment. We further used this method to analyze soil biological health status of upland in black soil region at field and regional scales. The results showed that the use of exploratory factors could reflect soil biological health status in multiple dimensions, which was more conducive to formulating soil health conservation policies or measures according to local conditions. Our results highlighted the critical role of soil biota and their interaction networks in soil health assessment, which would provide necessary technical support for soil health assessment using soil biological indicators.

Key words: soil health, soil biological indicator, factor analysis, cumulative normal distribution function