Ya-Ting Yang, Fang-Jin Qin, Shuang Wang, Cong Wang, Zhen-Ke Zhu, Gang Li, Shu-Quan Jin, Ti-da Ge
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The 22 indexes of soil physics, chemistry, biology, and heavy metals were determined; the minimum data set was constructed by using principal component analysis, correlation analysis, and Norm value; and the soil health evaluation system in Ningbo was constructed using the soil quality index area method and soil sensitivity-resistance method, combined with soil multifunctionality to judge the quality of non-grain cultivated land in Ningbo. The results showed that: ① Compared with the soil of control cultivated land, soil bulk density (BD) in orchards and nursery-grown plants increased significantly (<i>P</i><0.05), while the contents of organic carbon (SOC), total nitrogen (TN), available phosphorus (AP), available copper (ACu), soil extracellular enzyme activity, and soil microbial biomass carbon (MBC) decreased significantly (<i>P</i><0.05). ② The minimum data set for soil health evaluation of non-grain cultivated land in Ningbo consisted of BD, electrical conductivity (EC), SOC, dissolved organic carbon (DOC), tammonium nitrogen (NH<sub>4</sub><sup>+</sup>-N), TN, available iron (AFe), available manganese (AMn), and acid phosphatase (Phos). The minimum data set verified by the total data set could reflect the effective information of non-grain soil quality in Ningbo. ③ Based on the soil quality index area method, the content of SOC, TN, AFe, AMn, and Phos in the cultivated land under non-grain utilization was lower than that of the control cultivated land. ④ According to the sensitivity and resistance analysis, the soil sensitive indexes included SOC, DOC, NH<sub>4</sub><sup>+</sup>-N, TN, AFe, and AMn, and the resistance index was BD and EC. ⑤ The random forest model showed that TN, SOC, <i>N</i>-acetyl-<i>β</i>-D-glucosidase (NAG), and Phos were the main driving factors of soil multifunctionality index, while AFe, AMn, Phos, and DOC were the main driving factors of soil quality index. On the whole, the soil quality index and soil multifunctionality index of the two non-grain planting methods were lower than those of the control cultivated soil. Therefore, this study determined the health status of non-grain soil in Ningbo, identified the main obstacle factors of non-grain cultivated land, and provided some data support and theoretical basis for the classification and renovation of non-grain cultivated land and ensuring food security in Ningbo.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 6","pages":"3877-3889"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Soil Health Evaluation of Non-grain Cultivated Land Based on Soil Quality Index Area Method and Soil Sensitivity-resistance Method: A Case Study of Ningbo City].\",\"authors\":\"Ya-Ting Yang, Fang-Jin Qin, Shuang Wang, Cong Wang, Zhen-Ke Zhu, Gang Li, Shu-Quan Jin, Ti-da Ge\",\"doi\":\"10.13227/j.hjkx.202406021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The aim of this study was to understand the soil health status of non-grain cultivated land in Ningbo, identify the main obstacle factors of non-grain cultivated land, explore the effect of non-grain on soil quality, and construct a comprehensive soil health evaluation system of non-grain cultivated land in Ningbo. Taking the soil of control cultivated land and typical non-grain cultivated land in Ningbo as the research object, 268 surface soil samples of 0-20 cm were collected under the utilization of control cultivated land, orchards, and nursery-grown plants. The 22 indexes of soil physics, chemistry, biology, and heavy metals were determined; the minimum data set was constructed by using principal component analysis, correlation analysis, and Norm value; and the soil health evaluation system in Ningbo was constructed using the soil quality index area method and soil sensitivity-resistance method, combined with soil multifunctionality to judge the quality of non-grain cultivated land in Ningbo. The results showed that: ① Compared with the soil of control cultivated land, soil bulk density (BD) in orchards and nursery-grown plants increased significantly (<i>P</i><0.05), while the contents of organic carbon (SOC), total nitrogen (TN), available phosphorus (AP), available copper (ACu), soil extracellular enzyme activity, and soil microbial biomass carbon (MBC) decreased significantly (<i>P</i><0.05). ② The minimum data set for soil health evaluation of non-grain cultivated land in Ningbo consisted of BD, electrical conductivity (EC), SOC, dissolved organic carbon (DOC), tammonium nitrogen (NH<sub>4</sub><sup>+</sup>-N), TN, available iron (AFe), available manganese (AMn), and acid phosphatase (Phos). The minimum data set verified by the total data set could reflect the effective information of non-grain soil quality in Ningbo. ③ Based on the soil quality index area method, the content of SOC, TN, AFe, AMn, and Phos in the cultivated land under non-grain utilization was lower than that of the control cultivated land. ④ According to the sensitivity and resistance analysis, the soil sensitive indexes included SOC, DOC, NH<sub>4</sub><sup>+</sup>-N, TN, AFe, and AMn, and the resistance index was BD and EC. ⑤ The random forest model showed that TN, SOC, <i>N</i>-acetyl-<i>β</i>-D-glucosidase (NAG), and Phos were the main driving factors of soil multifunctionality index, while AFe, AMn, Phos, and DOC were the main driving factors of soil quality index. On the whole, the soil quality index and soil multifunctionality index of the two non-grain planting methods were lower than those of the control cultivated soil. Therefore, this study determined the health status of non-grain soil in Ningbo, identified the main obstacle factors of non-grain cultivated land, and provided some data support and theoretical basis for the classification and renovation of non-grain cultivated land and ensuring food security in Ningbo.</p>\",\"PeriodicalId\":35937,\"journal\":{\"name\":\"环境科学\",\"volume\":\"46 6\",\"pages\":\"3877-3889\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"环境科学\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.13227/j.hjkx.202406021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202406021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在了解宁波市非粮食耕地土壤健康状况,识别非粮食耕地的主要障碍因素,探讨非粮食对土壤质量的影响,构建宁波市非粮食耕地土壤健康综合评价体系。以宁波市对照耕地和典型非粮食耕地土壤为研究对象,在对照耕地、果园和苗木利用下,采集0 ~ 20 cm表层土壤样品268份。确定土壤物理、化学、生物、重金属等22个指标,运用主成分分析、相关分析和Norm值构建最小数据集,运用土壤质量指标面积法和土壤敏感-阻力法构建宁波市土壤健康评价体系,结合土壤多功能性对宁波市非粮食耕地质量进行评判。结果表明:①与对照耕地相比,果园和苗木土壤容重(BD)显著增加(P<0.05),有机碳(SOC)、全氮(TN)、速效磷(AP)、速效铜(ACu)含量、土壤胞外酶活性和土壤微生物生物量碳(MBC)含量显著降低(P<0.05)。②宁波市非粮食耕地土壤健康评价的最小数据集由BD、电导率(EC)、有机碳(SOC)、溶解有机碳(DOC)、铵态氮(NH4+-N)、TN、有效铁(AFe)、有效锰(AMn)和酸性磷酸酶(Phos)组成。经总数据集验证的最小数据集能够反映宁波市非粮食土壤质量的有效信息。③基于土壤质量指数面积法,非粮食利用耕地土壤有机碳、全氮、AFe、氨氮和磷含量均低于对照耕地。④根据敏感性和抗性分析,土壤敏感性指标为SOC、DOC、NH4+-N、TN、AFe和AMn,抗性指标为BD和EC。⑤随机森林模型表明,TN、SOC、n -乙酰基-β- d -葡萄糖苷酶(N-acetyl-β-D-glucosidase, NAG)和Phos是土壤多功能性指数的主要驱动因子,AFe、AMn、Phos和DOC是土壤质量指数的主要驱动因子。总体而言,两种非粮食种植方式的土壤质量指数和土壤多功能性指数均低于对照栽培土壤。因此,本研究确定了宁波市非粮食土壤的健康状况,识别了非粮食耕地的主要障碍因素,为宁波市非粮食耕地分类整治和保障粮食安全提供了一定的数据支持和理论依据。
[Soil Health Evaluation of Non-grain Cultivated Land Based on Soil Quality Index Area Method and Soil Sensitivity-resistance Method: A Case Study of Ningbo City].
The aim of this study was to understand the soil health status of non-grain cultivated land in Ningbo, identify the main obstacle factors of non-grain cultivated land, explore the effect of non-grain on soil quality, and construct a comprehensive soil health evaluation system of non-grain cultivated land in Ningbo. Taking the soil of control cultivated land and typical non-grain cultivated land in Ningbo as the research object, 268 surface soil samples of 0-20 cm were collected under the utilization of control cultivated land, orchards, and nursery-grown plants. The 22 indexes of soil physics, chemistry, biology, and heavy metals were determined; the minimum data set was constructed by using principal component analysis, correlation analysis, and Norm value; and the soil health evaluation system in Ningbo was constructed using the soil quality index area method and soil sensitivity-resistance method, combined with soil multifunctionality to judge the quality of non-grain cultivated land in Ningbo. The results showed that: ① Compared with the soil of control cultivated land, soil bulk density (BD) in orchards and nursery-grown plants increased significantly (P<0.05), while the contents of organic carbon (SOC), total nitrogen (TN), available phosphorus (AP), available copper (ACu), soil extracellular enzyme activity, and soil microbial biomass carbon (MBC) decreased significantly (P<0.05). ② The minimum data set for soil health evaluation of non-grain cultivated land in Ningbo consisted of BD, electrical conductivity (EC), SOC, dissolved organic carbon (DOC), tammonium nitrogen (NH4+-N), TN, available iron (AFe), available manganese (AMn), and acid phosphatase (Phos). The minimum data set verified by the total data set could reflect the effective information of non-grain soil quality in Ningbo. ③ Based on the soil quality index area method, the content of SOC, TN, AFe, AMn, and Phos in the cultivated land under non-grain utilization was lower than that of the control cultivated land. ④ According to the sensitivity and resistance analysis, the soil sensitive indexes included SOC, DOC, NH4+-N, TN, AFe, and AMn, and the resistance index was BD and EC. ⑤ The random forest model showed that TN, SOC, N-acetyl-β-D-glucosidase (NAG), and Phos were the main driving factors of soil multifunctionality index, while AFe, AMn, Phos, and DOC were the main driving factors of soil quality index. On the whole, the soil quality index and soil multifunctionality index of the two non-grain planting methods were lower than those of the control cultivated soil. Therefore, this study determined the health status of non-grain soil in Ningbo, identified the main obstacle factors of non-grain cultivated land, and provided some data support and theoretical basis for the classification and renovation of non-grain cultivated land and ensuring food security in Ningbo.