Potential toxicity of pesticides in freshwater environments: Passive sampling, exposure and impacts on biofilms: the PoToMAC project

Margoum, C.; Morin, Soizic; Mazzella, Nicolás

doi:10.1007/s11356-014-3291-z

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…(Muhammed, Coleman, and Wu 2018). Agricultural inputs have been reported to be excessive in many areas (Margoum, Morin, and Mazzella 2015;Rahman et al, 2018). For example, from 2007 to 2015, production material inputs to arable land in Shandong Province and the Dongting Lake Region's grain producing areas increased by 34.59% and 12.65%, respectively (Yin, Lin, and Jiang 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, it has been demonstrated that farmers' attitudes toward environmental issues greater affect their pesticide use and that farmers with more cropland tend to be better educated about reasonable pesticide use (Abadi 2018). In terms of experimental monitoring, improved sampling methods are in high demand to broaden the range of contaminants that can be analyzed, including organic (herbicides, insecticides, and fungicides) and inorganic (metals) pesticides (Margoum, Morin, and Mazzella 2015). As the collection and analysis of samples are time-consuming and laborious, it has been an ongoing focus of studies on the large-scale real-time monitoring of pesticide residues in the environment.…”

Section: Introductionmentioning

confidence: 99%

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Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China

Yin

Lin

Jiang

et al. 2020

Ecosyst Health Sustain

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Taking two typical grain producing areas of southern (Dongting Lake Region) and northern China (Shandong Province) as examples, this study used fault tree analysis and parametric estimation to provide a comparative analysis for environmental risks of intensive arable land use. The results show that (1) in the risks of eutrophication, toxicity, soil structure, greenhouse effect and air pollution, the greenhouse effect was the most prominent with the highest discharge; (2) the Dongting Lake Region discharged less pollutants annually than did Shandong Province, while surpassing Shandong in cumulative pollutant discharge in 2007-2018; (3) the spatial distribution of environmental risk in the Dongting Lake Region was mostly concentrated in the northern area, whereas that in Shandong Province displayed a scattered pattern; (4) in the Dongting Lake Region, Yueyang, Changde, and Yiyang were high environmental risk cities in 2007-2018, whereas in Shandong Province, Zaozhuang, Heze, Liaocheng, and Dezhou exhibited higher comprehensive environmental risk indexes in 2007-2008, while Rizhao replaced them in 2018. The results indicated that ago-production material use must be controlled, reasonable zoning for areas posing environmental risks must be employed and cities with high environmental risk must be dynamically monitored to prevent the intensification of environmental risks of arable land use.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China

Yin

Lin

Jiang

et al. 2020

Ecosyst Health Sustain

View full text Add to dashboard Cite

show abstract

“…For exorbitant intensification, the increasing chemical material input, high water consumption, or livestock feeding may exacerbate more severe environmental problems, including eutrophication (Le et al 2010;Wang et al 2015), acidification (Guo et al 2010), water shortage (Shalizi 2006), a loss of biodiversity, agrochemical contamination, the pesticide poisoning of non-target organisms (Margoum et al 2015), and emissions of greenhouse gases and pollutants (Dale and Polasky 2007). In addition, deterioration in the agricultural environment may imply more future degradation at the expense of other ecosystems (Power 2010),which may give rise to undesirable long-term effects on human health (Pereira et al 2015).…”

Section: Introductionmentioning

confidence: 99%

A comprehensive assessment of agricultural intensification scenarios for the Dongting Lake basin in south-central China in 2030

Yin

Liu

Chang

et al. 2016

Environ Sci Pollut Res

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To explore the future of the material demand, pollutant emission, production, and arable land area surrounding the Dongting Lake basin, and to find a potential solution for agricultural development, this study assumes the following four agriculture intensification scenarios: the natural development scenario (ND), the production development scenario (PD), the moderate intensification scenario (MI), and the local resilience scenario (LR). The scenarios focus on different developmental patterns (natural development, short-term production growth, long-term sustainability, or self-sufficiency).The result shows to satisfy the food demand in 2030, and the production of crop and meat will be 26.96, 30.25, 28.05, and 16.27 × 10(6) t in ND, PD, MI, and LR, respectively; more than 1.78 × 10(6) ha of arable land is needed. Compared with the year 2012, the material input and pollutant output will increase by a maximum of 18.32 and 122.31 %, respectively. By classifying the environmental risk into four categories-greenhouse gas emission, air pollution, eutrophication, and ecotoxicity-the composite environmental risk index (CER) is calculated. The CER in PD was the highest, followed by that in ND, LR, and MI. Due to the production allocation within the 35 cities and counties, the spatial distribution of CER is more homogenous in PD and MI than in ND. The analysis of the scenarios reveals that through technological improvement and spatial allocation of agricultural production, scenario MI could be a potential direction for the government to design a sustainable agricultural-environmental system.

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Characterization of river biofilm responses to the exposure with heavy metals using a novel micro fluorometer biosensor

et al. 2021

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Potential toxicity of pesticides in freshwater environments: Passive sampling, exposure and impacts on biofilms: the PoToMAC project

Cited by 4 publications

References 17 publications

Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China

Holistic identification and assessment of environmental risks of arable land use in two grain producing areas of China

A comprehensive assessment of agricultural intensification scenarios for the Dongting Lake basin in south-central China in 2030

Characterization of river biofilm responses to the exposure with heavy metals using a novel micro fluorometer biosensor

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