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      More inputs of antibiotics into groundwater but less into rivers as a result of manure management in China

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          Abstract

          Antibiotics are extensively used in livestock production to prevent and treat diseases, but their environmental impact through contamination of rivers and groundwater is a growing concern. The specific antibiotics involved, their sources, and their geographic distribution remain inadequately documented, hindering effective mitigation strategies for river and groundwater pollution control caused by livestock production. Here we develope the spatially explicit MARINA-Antibiotics (China-1.0) model to estimate the flows of 24 antibiotics from seven livestock species into rivers and leaching into groundwater across 395 sub-basins in China, and examine changes between 2010 and 2020. We find that 8364 tonnes and 3436 tonnes of antibiotics entered rivers and groundwater nationwide in 2010 and 2020, respectively. Approximately 50–90% of these amounts originated from about 40% of the basin areas. Antibiotic inputs to rivers decreased by 59% from 2010 to 2020, largely due to reduced manure point sources. Conversely, antibiotic leaching into groundwater increased by 15%, primarily because of enhanced manure recycling practices. Pollution varied by antibiotic groups and livestock species: fluoroquinolones contributed approximately 55% to river pollution, mainly from pig, cattle, and chicken manure; sulfonamides accounted for over 90% of antibiotics in groundwater, predominantly from pig and sheep manure. While our findings support existing policies promoting manure recycling to mitigate river pollution in China, they highlight the need for greater attention to groundwater pollution. This aspect is essential to consider in developing and designing future reduction strategies for antibiotic pollution from livestock production.

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          Highlights

          • Between 90% of antibiotics found in rivers and 50% in groundwater originated from only 10%–40% of China’s basin areas.

          • The total input of antibiotics into rivers decreased by 59% compared to that in ten years ago.

          • Antibiotic leaching into groundwater increased by 15% from 2010 to 2020.

          • Fluoroquinolones contributed to approximately 55% of river pollution in China.

          • Sulfonamides accounted for over 90% of antibiotics in groundwater in China.

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          Most cited references67

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          Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations

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            Global trends in antimicrobial use in food animals.

            Demand for animal protein for human consumption is rising globally at an unprecedented rate. Modern animal production practices are associated with regular use of antimicrobials, potentially increasing selection pressure on bacteria to become resistant. Despite the significant potential consequences for antimicrobial resistance, there has been no quantitative measurement of global antimicrobial consumption by livestock. We address this gap by using Bayesian statistical models combining maps of livestock densities, economic projections of demand for meat products, and current estimates of antimicrobial consumption in high-income countries to map antimicrobial use in food animals for 2010 and 2030. We estimate that the global average annual consumption of antimicrobials per kilogram of animal produced was 45 mg⋅kg(-1), 148 mg⋅kg(-1), and 172 mg⋅kg(-1) for cattle, chicken, and pigs, respectively. Starting from this baseline, we estimate that between 2010 and 2030, the global consumption of antimicrobials will increase by 67%, from 63,151 ± 1,560 tons to 105,596 ± 3,605 tons. Up to a third of the increase in consumption in livestock between 2010 and 2030 is imputable to shifting production practices in middle-income countries where extensive farming systems will be replaced by large-scale intensive farming operations that routinely use antimicrobials in subtherapeutic doses. For Brazil, Russia, India, China, and South Africa, the increase in antimicrobial consumption will be 99%, up to seven times the projected population growth in this group of countries. Better understanding of the consequences of the uninhibited growth in veterinary antimicrobial consumption is needed to assess its potential effects on animal and human health.
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              Comprehensive evaluation of antibiotics emission and fate in the river basins of China: source analysis, multimedia modeling, and linkage to bacterial resistance.

              Antibiotics are widely used in humans and animals, but there is a big concern about their negative impacts on ecosystem and human health after use. So far there is a lack of information on emission inventory and environmental fate of antibiotics in China. We studied national consumption, emissions, and multimedia fate of 36 frequently detected antibiotics in China by market survey, data analysis, and level III fugacity modeling tools. Based on our survey, the total usage for the 36 chemicals was 92700 tons in 2013, an estimated 54000 tons of the antibiotics was excreted by human and animals, and eventually 53800 tons of them entered into the receiving environment following various wastewater treatments. The fugacity model successfully predicted environmental concentrations (PECs) in all 58 river basins of China, which are comparable to the reported measured environmental concentrations (MECs) available in some basins. The bacterial resistance rates in the hospitals and aquatic environments were found to be related to the PECs and antibiotic usages, especially for those antibiotics used in the most recent period. This is the first comprehensive study which demonstrates an alarming usage and emission of various antibiotics in China.
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                Author and article information

                Contributors
                Journal
                Environ Sci Ecotechnol
                Environ Sci Ecotechnol
                Environmental Science and Ecotechnology
                Elsevier
                2096-9643
                2666-4984
                26 November 2024
                January 2025
                26 November 2024
                : 23
                : 100513
                Affiliations
                [a ]College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions, Ministry of Education, China Agricultural University, 100193, China
                [b ]Earth Systems and Global Change Group, Environmental Sciences Department, Wageningen University & Research, Droevendaalsesteeg 4, Wageningen, 6708 PB, the Netherlands
                [c ]Wageningen Food Safety Research, Wageningen University and Research, Akkermaalsbos 2, 6708 WB, Wageningen, the Netherlands
                [d ]Soil Physics and Land Management Group, Wageningen University & Research, Droevendaalsesteeg 3, Wageningen, 6708 PB, the Netherlands
                [e ]Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, The Chinese Academy of Sciences, Hebei, 050021, China
                [f ]Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, Southwest University, Tiansheng Road 02, Chongqing, 400715, China
                Author notes
                [* ]Corresponding author. Earth Systems and Global Change Group, Environmental Sciences Department, Wageningen University & Research, Droevendaalsesteeg 4, Wageningen, 6708 PB, the Netherlands. qi.zhang@ 123456wur.nl
                [** ]Corresponding author. College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions, Ministry of Education, China Agricultural University, 100193, China. wenxu@ 123456cau.edu.cn
                [*** ]Corresponding author. Earth Systems and Global Change Group, Environmental Sciences Department, Wageningen University & Research, Droevendaalsesteeg 4, Wageningen, 6708 PB, the Netherlands. maryna.strokal@ 123456wur.nl
                Article
                S2666-4984(24)00127-3 100513
                10.1016/j.ese.2024.100513
                11697712
                39759771
                5c83ede4-653b-4e8c-ad0b-359342e34806
                © 2024 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 25 March 2024
                : 17 November 2024
                : 19 November 2024
                Categories
                Original Research

                marina-antibiotics model,rivers,groundwater,livestock production,antibiotics

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