Effects of pasture intensification and sugarcane cultivation on non-target species: A realistic evaluation in pesticide-contaminated mesocosms

Conventional soil management in agricultural areas may expose non-target organisms living nearby to several types of contaminants. In this study, the effects of soil management in extensive pasture (EP), intensive pasture (IP), and sugarcane crops (C) were evaluated in a realistic-field-scale study....

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Published in:The Science of the total environment 2024-04, Vol.922, p.171425-171425, Article 171425
Main Authors: Baima Ferreira Freitas, Isabele, Duarte-Neto, Paulo José, Sorigotto, Lais Roberta, Cardoso Yoshii, Maria Paula, de Palma Lopes, Laís Fernanda, de Almeida Pereira, Mickaelle Maria, Girotto, Laís, Badolato Athayde, Danillo, Veloso Goulart, Bianca, Montagner, Cassiana Carolina, Schiesari, Luis Cesar, Martinelli, Luiz Antônio, Gaeta Espíndola, Evaldo Luiz
Format: Article
Language:English
Subjects:
2,4-D
2,4-Dichlorophenoxyacetic Acid - toxicity
Animals
Cattle
Environmental Biomarkers
Female
Fertilizer
Fipronil
Pesticides - toxicity
Saccharum
Soil
Soil management
Vinasse
Water - chemistry
Water Pollutants, Chemical - toxicity
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Summary:Conventional soil management in agricultural areas may expose non-target organisms living nearby to several types of contaminants. In this study, the effects of soil management in extensive pasture (EP), intensive pasture (IP), and sugarcane crops (C) were evaluated in a realistic-field-scale study. Thirteen aquatic mesocosms embedded in EP, IP, and C treatments were monitored over 392 days. The recommended management for each of the areas was simulated, such as tillage, fertilizer, pesticides (i.e. 2,4-D, fipronil) and vinasse application, and cattle pasture. To access the potential toxic effects that the different steps of soil management in these areas may cause, the cladoceran Ceriophania silvestrii was used as aquatic bioindicator, the dicot Eruca sativa as phytotoxicity bioindicator in water, and the dipteran Chironomus sancticaroli as sediment bioindicator. Generalized linear mixed models were used to identify differences between the treatments. Low concentrations of 2,4-D (
ISSN:0048-9697
1879-1026
DOI:10.1016/j.scitotenv.2024.171425