CIRAD, UPR Recyclage et Risque, Dakar 18524, Sénégal.
Recyclage et Risque, Univ Montpellier, CIRAD, Montpellier 34398, France.
FEMS Microbiol Ecol. 2024 Mar 12;100(4). doi: 10.1093/femsec/fiae031.
Alternative farming systems have developed since the beginning of industrial agriculture. Organic, biodynamic, conservation farming, agroecology and permaculture, all share a grounding in ecological concepts and a belief that farmers should work with nature rather than damage it. As ecology-based agricultures rely greatly on soil organisms to perform the functions necessary for agricultural production, it is thus important to evaluate the performance of these systems through the lens of soil organisms, especially soil microbes. They provide numerous services to plants, including growth promotion, nutrient supply, tolerance to environmental stresses and protection against pathogens. An overwhelming majority of studies confirm that ecology-based agricultures are beneficial for soil microorganisms. However, three practices were identified as posing potential ecotoxicological risks: the recycling of organic waste products, plastic mulching, and pest and disease management with biopesticides. The first two because they can be a source of contaminants; the third because of potential impacts on non-target microorganisms. Consequently, developing strategies to allow a safe recycling of the increasingly growing organic matter stocks produced in cities and factories, and the assessment of the ecotoxicological impact of biopesticides on non-target soil microorganisms, represent two challenges that ecology-based agricultural systems will have to face in the future.
自工业农业开始以来,已经出现了替代农业系统。有机农业、生物动力农业、保护性农业、农业生态学和永续农业,都基于生态概念,并坚信农民应该与自然合作,而不是破坏自然。由于基于生态学的农业在很大程度上依赖土壤生物来完成农业生产所需的功能,因此通过土壤生物的视角来评估这些系统的性能非常重要,尤其是土壤微生物。它们为植物提供了许多服务,包括促进生长、提供养分、耐受环境压力和抵御病原体。绝大多数研究证实,基于生态学的农业对土壤微生物有益。然而,有三种做法被认为存在潜在的生态毒理学风险:有机废物的回收利用、塑料覆盖和使用生物农药进行病虫害管理。前两者是因为它们可能是污染物的来源;后者是因为可能对非目标微生物产生影响。因此,制定策略以允许安全地回收在城市和工厂中日益增加的有机物质库存,以及评估生物农药对非目标土壤微生物的生态毒理学影响,是基于生态学的农业系统未来必须面对的两个挑战。