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华北集约化生产区耕地健康评价研究-以河北某县域为例OA

Research on farmland health assessment in the intensive agricultural region of north China:a case study of a county in Hebei province

中文摘要英文摘要

华北平原作为我国重要的粮食主产区,长期集约化农业生产对土壤健康及耕地产能构成严峻挑战,且当前该区域尚缺乏一套科学合理的耕地评价体系,严重制约耕地质量与健康评价工作的有效开展.以河北某典型集约化生产县域为对象,通过系统采集106个代表性土壤样品,测定25项理化与生物指标,采用聚类分析、主成分分析等方法,结合线性与非线性评分函数计算土壤质量指数(SQI),综合评价土壤健康状况,旨在构建适用于华北集约化耕地的土壤健康评价体系.结果表明:(1)构建了包含水稳性团聚体、pH、有机质、全磷、磷酸酶活性、微生物量氮、耕层厚度和容重8项指标的最小数据集(MDS);(2)基于MDS计算的SQI均值分别为0.58(线性评分)和0.50(非线性评分),表明研究区土壤整体处于中等健康水平(Ⅲ级),主要限制因子为有机质含量偏低、耕层浅薄、容重偏高及有效性磷不足等;(3)MDS与全数据集计算的SQI呈极显著正相关(R2≥0.50,P<0.001),验证了 MDS在该区域土壤健康评价中的可靠性与适用性.为华北集约化农区土壤质量监测与可持续管理提供了科学依据.

As a major grain-producing region in China,the North China Plain faces significant challenges to soil health and crop productivity due to long-term intensive agricultural practices.This study,focusing on a typical county in the region,aimed to establish a soil health evaluation system suitable for intensively cultivated areas in north China.A total of 106 representative soil samples were systematically collected,and 25 physical,chemical,and biological indicators were measured.Methods such as cluster analysis and principal component analysis were employed to screen key indicators.Both linear and nonlinear scoring functions were used to calculate the soil quality index(SQI),enabling a comprehensive assessment of soil health.The results showed that:(1)A minimum data set(MDS)was established,comprising eight indicators:water-stable aggregates,pH,organic matter,total phosphorus,enzyme activity,microbial biomass nitrogen,plow layer thickness,and bulk density;(2)The mean SQI values calculated based on the MDS were 0.58(linear scoring)and 0.50(nonlinear scoring),indicating that the overall soil health in the study area was at a moderate level(Grade Ⅲ).The primary limiting factors included low organic matter content,shallow plow layer,high bulk density,and insufficient phosphorus availability;(3)A highly significant positive correlation was observed between the SQI values derived from the MDS and the total data set(R2≥0.50,P<0.001),confirming the reliability and applicability of the MDS for soil health evaluation in the region.This study provided a scientific basis and technical support for soil quality monitoring and sustainable management in intensively farmed areas of north China.

周如烟;王静;王萌;俞磊;孙晓艺;刘佳晓;李京泽;陈世宝

北方干旱半干旱耕地高效利用全国重点实验室,中国农业科学院农业资源与农业区划研究所,北京 100081北方干旱半干旱耕地高效利用全国重点实验室,中国农业科学院农业资源与农业区划研究所,北京 100081北方干旱半干旱耕地高效利用全国重点实验室,中国农业科学院农业资源与农业区划研究所,北京 100081北方干旱半干旱耕地高效利用全国重点实验室,中国农业科学院农业资源与农业区划研究所,北京 100081北方干旱半干旱耕地高效利用全国重点实验室,中国农业科学院农业资源与农业区划研究所,北京 100081北方干旱半干旱耕地高效利用全国重点实验室,中国农业科学院农业资源与农业区划研究所,北京 100081首都师范大学资源环境与旅游学院,北京 100048北方干旱半干旱耕地高效利用全国重点实验室,中国农业科学院农业资源与农业区划研究所,北京 100081

土壤健康评价华北集约化区最小数据集聚类分析主成分分析综合指数法

soil health evaluationintensive agricultural region of north Chinaminimum data setcluster analysisprincipal component analysiscomprehensive index method

《中国土壤与肥料》 2026 (7)

1-9,9

国家重点研发计划项目课题(2023YFD1900105)中国农业科学院科技创新工程(CAASZDRW202408-01).

10.11838/sfsc.1673-6257.25565

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