A perspective of spatial variability and ecological risks of antibiotics in the agricultural-pastoral ecotone soils in eastern Inner Mongolia

被引：3
作者：
Bao F. [1 ]
Zhou Y. [1 ]
Zhang Z. [1 ]
Du Y. [1 ]
Zhang H. [1 ]
Huang Y. [2 ]
机构：
[1] Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing
[2] Key Laboratory of Agricultural Land Quality, Ministry of Natural Resources, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture and Rural Affairs, College of Land Science and Technology, China Agricultural University, Beijing
来源：
Chemosphere | 2024年 / 353卷
关键词：
Antibiotics; Farmland; Risk assessment; Spatial distribution;
D O I：
10.1016/j.chemosphere.2024.141627
中图分类号：
学科分类号：
摘要：
Antibiotics have garnered growing attention as pharmaceuticals ubiquitously present in human society. Within the soil environment, antibiotics exhibit a propensity for high environmental persistence, thereby posing a potential threat to the ecosystem. However, research on antibiotics in agricultural-pastoral ecotone soils is scarce. This study investigates the occurrence, distribution and risk of 11 common antibiotics in agricultural soils of the agro-pastoral transition zone in Horqin Left Middle Banner, eastern Inner Mongolia. The total concentration varies from not detectable to 609.62 μg/kg. Tetracyclines are the dominant antibiotic, with a higher detection frequency than Macrolides and Sulfonamides. The detection rates of the three types of antibiotics differ significantly. The study also finds that soil properties (organic matter content, pH, bulk density, clay, cation exchange capacity have no significant correlation with antibiotics in soil. Moreover, spatial regression analysis reveals that population density is the primary factor influencing the spatial distribution of antibiotics in soil. Ecological risk assessment shows that clarithromycin and erythromycin are the two most harmful factors in the ecological risk of agricultural soil. © 2024 Elsevier Ltd
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