Yang Ya-Ting, Qin Fang-Jin, Wang Shuang, Wang Cong, Zhu Zhen-Ke, Li Gang, Jin Shu-Quan, Ge Ti-da
Guangxi Key Laboratory of Forest Ecology and Conservation, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Forestry, Guangxi University, Nanning 530004, China.
State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo 315211, China.
Huan Jing Ke Xue. 2025 Jun 8;46(6):3877-3889. doi: 10.13227/j.hjkx.202406021.
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 (<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 (<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-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-N, TN, AFe, and AMn, and the resistance index was BD and EC. ⑤ The random forest model showed that TN, SOC, -acetyl--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.
本研究旨在了解宁波非粮耕地的土壤健康状况,识别非粮耕地的主要障碍因素,探究非粮利用对土壤质量的影响,并构建宁波非粮耕地土壤健康综合评价体系。以宁波对照耕地和典型非粮耕地土壤为研究对象,在对照耕地、果园和苗圃利用方式下采集了268个0 - 20 cm表层土壤样本。测定了土壤物理、化学、生物和重金属22项指标;采用主成分分析、相关分析和规范值构建最小数据集;运用土壤质量指数面积法和土壤敏感性 - 抗性法,结合土壤多功能性构建宁波土壤健康评价体系,以评判宁波非粮耕地质量。结果表明:①与对照耕地土壤相比,果园和苗圃土壤的容重(BD)显著增加(<0.05),而有机碳(SOC)、全氮(TN)、有效磷(AP)、有效铜(ACu)、土壤胞外酶活性和土壤微生物量碳(MBC)含量显著降低(<0.05)。②宁波非粮耕地土壤健康评价最小数据集由BD、电导率(EC)、SOC、溶解有机碳(DOC)、铵态氮(NH-N)、TN、有效铁(AFe)、有效锰(AMn)和酸性磷酸酶(Phos)组成。经全数据集验证的最小数据集能够反映宁波非粮土壤质量的有效信息。③基于土壤质量指数面积法,非粮利用下耕地的SOC、TN、AFe、AMn和Phos含量低于对照耕地。④根据敏感性和抗性分析,土壤敏感指标包括SOC、DOC、NH-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 - β - D - 葡萄糖苷酶(NAG)和Phos是土壤多功能性指数的主要驱动因素,而AFe、AMn、Phos和DOC是土壤质量指数的主要驱动因素。总体而言,两种非粮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耕地土壤。因此,本研究明确了宁波非粮土壤健康状况,识别了非粮耕地主要障碍因素,为宁波非粮耕地分类整治及保障粮食安全提供了一定的数据支撑和理论依据。