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一种用于理解流域尺度土壤中抗生素季节性动态的景观源汇模型。

A landscape source-sink model to understanding the seasonal dynamics of antibiotics in soils at watershed scale.

机构信息

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Ecology and Environmental Sciences, Yunnan University, Kunming 650500, China.

出版信息

J Hazard Mater. 2024 Mar 5;465:133224. doi: 10.1016/j.jhazmat.2023.133224. Epub 2023 Dec 13.

Abstract

Human and veterinary antibiotics occur widely in soil ecosystems and pose a serious threat to soil health. Landscape structure can be linked to Earth surface processes and anthropogenic footprints and may influence the variability of antibiotics in soil. In this study, an improved landscape source-sink model was used to characterize source-sink structures using the location-weighted landscape index (LWLI), which can be linked to antibiotic seasonality. The topographic wetness index was employed to identify source and sink landscapes, which represent antibiotic transport pathways via topography-driven hydrological processes. The results indicate that LWLI values and antibiotic seasonality are typically higher in farmland soils than in forest and orchard soils. LWLI values exhibit significant positive correlations with antibiotic seasonality in soils (R: 0.33-0.58). Furthermore, landscape source-sink structures have a significant influence on antibiotic seasonality between winter and other seasons in farmland soils; however, these structures affect antibiotic seasonality between summer and other seasons in forest and orchard soils. The results of this study indicate that water movement regulated by landscape structure may play a crucial role in influencing antibiotic seasonality in soils at the watershed scale, and the landscape source-sink model can be used to quantitatively evaluate antibiotic seasonality in soil environment.

摘要

人类和兽医抗生素广泛存在于土壤生态系统中,对土壤健康构成严重威胁。景观结构可以与地球表面过程和人为足迹联系起来,并可能影响土壤中抗生素的可变性。在这项研究中,使用改进的景观源-汇模型,利用位置加权景观指数(LWLI)来描述源-汇结构,这可以与抗生素的季节性联系起来。地形湿度指数用于识别源和汇景观,它们代表了通过地形驱动的水文过程进行抗生素传输的途径。结果表明,农田土壤中的 LWLI 值和抗生素季节性通常高于森林和果园土壤。LWLI 值与土壤中抗生素季节性之间存在显著的正相关关系(R:0.33-0.58)。此外,景观源-汇结构对农田土壤中冬季与其他季节之间的抗生素季节性有显著影响;然而,这些结构影响了森林和果园土壤中夏季与其他季节之间的抗生素季节性。本研究结果表明,受景观结构调节的水运动可能在流域尺度上对土壤中抗生素季节性的影响起着至关重要的作用,并且景观源-汇模型可用于定量评估土壤环境中的抗生素季节性。

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