引黄灌区次生盐渍化对土壤质量与耕地产能的影响
文献类型: 中文期刊
关键词: 土壤次生盐渍化;;土壤质量指数(SQI);;耕地产能指数(CPI);;随机森林模型;;引黄灌区;;内蒙古
期刊名称:中国农业科学
ISSN: 0578-1752
年卷期: 2025 年
页码:
收录情况: 北大核心(2023版) ; ; CSCD(2025-2026年度) ; ; 科技核心(2024版) ; ; 农林核心(2024版)
摘要: Abstract:【Objective】This study aimed to explore the impact mechanism of soil secondary salinization on soil quality and cropland productivity, thereby providing a theoretical basis for improving saline-alkali soil and enhancing productivity in the Yellow River Irrigation District【. Method】In this study, typical saline-alkali cropland in Dalate Banner, Inner Mongolia was selected as the research area. Soil samples from the 0–20 cm soil layer were collected in May, July, and October 2023 using the systematic grid sampling method. A total of 17 soil indicators (encompassing physical, chemical, and microbial properties) were determined to analyze the spatiotemporal variation characteristics of soil salinization. The soil quality index (SQI) was evaluated by combining principal component analysis (PCA) with the weighting method. Additionally, linear regression, random forest model, and partial least squares path model (PLS-PM) were used to reveal the impact mechanism of soil salinization on the cropland productivity index (CPI). 【Result】Soil secondary salinization indicators showed obvious spatial and temporal variability. Among them, soil electrical conductivity (EC) increased with the decrease of terrain, with the coefficient of spatial variation ranging from 29.2% to 61.2%. Moreover, the EC values in July and October increased by 82.6% and 161.6% respectively compared with those in May. The minimum data set for SQI constructed by PCA included mean weight diameter (MWD) of aggregates, available potassium (AK), and available phosphorus (AP). The average SQI in the study area was 0.50, and SQI<0.60 accounted for 77.1%, while the average CPI was 0.62, and CPI>0.80 accounted for 47.9%. Linear regression analysis showed that soil salinity indicators (especially EC) were negatively correlated with SQI and CPI, while SQI was significantly positively correlated with CPI (P<0.05). Random forest model results showed that EC in May had the greatest effect on SQI, and EC in July and October had the greatest effect on CPI. PLS-PM analysis revealed that soil secondary salinization indicators had a direct negative effect on CPI (standard path coefficient=-0.610, P< 0.001) and an indirect effect through their negative impact on SQI (standard path coefficient=-0.694, P<0.001), with a total effect of -0.789.【Conclusion】Soil secondary salinization impaired cropland productivity through the dual pathways of direct salt toxicity and indirect reduction of soil quality. Therefore, a synergistic strategy of “salt control and quality enhancement” should be adopted to improve the productivity of salinized cropland in the Yellow River Irrigation District.
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