首页|采用灰色关联度法评价施用土壤调理剂后的盐碱沙荒地土壤质量

采用灰色关联度法评价施用土壤调理剂后的盐碱沙荒地土壤质量

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针对盐碱沙荒地土壤肥力低、保水保肥性差的问题,以中科羊草为指示作物,研究碳基土壤调理剂不同施用量0(CK)、1.0(SC-T1)、1.5(SC-T2)、2.0(SC-T3)、2.5(SC-T4)、3.0(SC-T5)t/667 m2对盐碱沙荒地土壤性状和植物生长的影响.通过相关分析和灰色关联度分析,评价碳基土壤调理剂对盐碱沙荒地土壤质量的作用.结果表明:①施用碳基土壤调理剂能有效改善盐碱沙荒地土壤的理化性状和微生物性状,与CK相比,施用调理剂处理的土壤孔隙度均有所提升,其中SC-T1、SC-T4较CK分别高7.65%、7.04%.与CK相比,SC-T1、SC-T2、SC-T3、SC-T4、SC-T5 的Chao1 指数分别高 1.65%、10.9%、4.72%、0.48%、6.21%;Shannon指数分别高 1.60%、5.34%、3.10%、1.07%、4.27%.施用调理剂处理的土壤pH有所降低,有机质质量比显著增加,其中SC-T4、SC-T5的有机质质量比较CK高51.85%、73.99%.②施用碳基土壤调理剂改良盐碱沙荒地土壤质量的关键影响因子有pH(0.95)、Shannon指数(0.95)、土壤孔隙度(0.93)、土壤容重(0.91).③由灰色关联度分析得出,施用碳基土壤调理剂处理的土壤质量综合评价得分均高于CK,其中SC-T2的评分最高,其综合改良效果最好.
Evaluation of Soil Quality in Saline-Alkaline Sandy Wasteland After Applying Soil Conditioner Using Grey Relational Analysis
In order to address the issues of low soil fertility and poor water and fertilizer retention in saline-alkali sandy wasteland,this paper studied the effects of different application rates of carbon-based soil conditioners(0(CK),1.0(SC-T1),1.5(SC-T2),2.0(SC-T3),2.5(SC-T4),3.0(SC-T5)t/667 m²)on soil properties and plant growth using Zoysia matrella as an indicator crop.The effects of the soil conditioner were evaluated using correlation analysis and grey correlation degree analysis.The results showed that:① The application of carbon-based soil conditioner could effectively improve the physical and chemical properties and microbial properties of saline-alkali sand wasteland.Compared to CK,soil porosity increased by 7.65%in SC-T1 and 7.04%in SC-T4.The Chao1 indices of SC-T1,SC-T2,SC-T3,SC-T4,and SC-T5 were higher by 1.65%,10.90%,4.72%,0.48%,and 6.21%respectively,and the Shannon indices increased by 1.60%,5.34%,3.10%,1.07%,and 4.27%respectively.Soil pH decreased and organic matter content significantly increased,with SC-T4 and SC-T5 showing 51.85%and 73.99%increases compared to CK.② Key factors influencing the improvement of soil quality by the soil conditioner included pH(0.95),Shannon index(0.95),soil porosity(0.93),and soil bulk density(0.91).③ Grey correlation degree analysis indicated that all treated soils scored higher than CK,with SC-T2 achieving the highest score and the best comprehensive improvement effect.

carbon-based soil conditionerssandy saline landsoil quality evaluationgrey correlation degree

雷青青、张潇逸、柳永兵、刘娜、艾锋、刘小铭、杨航、李懿轩、郭伟、李强

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榆林学院 陕西省陕北矿区生态修复重点实验室,陕西 榆林 719000

陕西未来能源化工有限公司,陕西 榆林 719099

榆林市榆阳区牛家梁林场,陕西 榆林 719000

碳基土壤调理剂 盐碱沙荒地 土壤质量评价 灰色关联度

国家重点研发计划项目国家自然科学基金项目陕西省煤田地质集团有限公司创新能力支撑项目

2022YFF130080242267071SMDZ-2022CX-4

2024

农业科学研究
宁夏大学

农业科学研究

影响因子:0.671
ISSN:1673-0747
年,卷(期):2024.45(2)