Fangkai Zhao, Yinshuai Li, Xingwu Duan, Haw Yen, Lei Yang, Yong Huang, Qingyu Feng, Long Sun, Shoujuan Li, Min Li, Liding Chen
{"title":"Optimal farm size reduces global poverty-induced soil antibiotic exposure risk","authors":"Fangkai Zhao, Yinshuai Li, Xingwu Duan, Haw Yen, Lei Yang, Yong Huang, Qingyu Feng, Long Sun, Shoujuan Li, Min Li, Liding Chen","doi":"10.1038/s43016-025-01131-0","DOIUrl":null,"url":null,"abstract":"<p>Farming activities contribute to soil antibiotic pollution, posing health risks for rural farm workers, especially on small farms in impoverished regions. The effectiveness of large farms in reducing poverty-induced soil antibiotic exposure risk (SABER) remains uncertain. Here we integrate global datasets on concentration of soil antibiotics, rural farm-worker employments and on-farm working hours to quantify SABER. We find that exposure-weighted relative populations are concentrated in underdeveloped regions, particularly East Africa and South and Southeast Asia. A 1,000 ha farm is optimal for SABER reduction, farm employment and working hours, outperforming both smaller and larger farms. Establishing large farms in the top 20% of priority areas can cover 47.3–75.5% of SABER hotspots, while establishing large farms in the top 44% of priority areas achieves the highest coverage of SABER hotspots without substantial declines in rural employment. This approach offers practical strategies to mitigate SABER while maintaining rural farm-worker employment.</p>","PeriodicalId":19090,"journal":{"name":"Nature Food","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Food","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s43016-025-01131-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Farming activities contribute to soil antibiotic pollution, posing health risks for rural farm workers, especially on small farms in impoverished regions. The effectiveness of large farms in reducing poverty-induced soil antibiotic exposure risk (SABER) remains uncertain. Here we integrate global datasets on concentration of soil antibiotics, rural farm-worker employments and on-farm working hours to quantify SABER. We find that exposure-weighted relative populations are concentrated in underdeveloped regions, particularly East Africa and South and Southeast Asia. A 1,000 ha farm is optimal for SABER reduction, farm employment and working hours, outperforming both smaller and larger farms. Establishing large farms in the top 20% of priority areas can cover 47.3–75.5% of SABER hotspots, while establishing large farms in the top 44% of priority areas achieves the highest coverage of SABER hotspots without substantial declines in rural employment. This approach offers practical strategies to mitigate SABER while maintaining rural farm-worker employment.