农药污染与非农业河流中无脊椎动物群落的变化有关

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Leonie Schweiger, Marco Foit, Philipp Vormeier, Ralf Schäfer, Matthias Liess
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引用次数: 0

摘要

在包括生物圈保护区在内的保护区经常发现农药,但对其在这些生态系统中的生态影响的研究仍然不够充分。在这里,我们检查了13条河流中杀虫剂的存在和影响,这些河流位于没有邻近农业用地的集水区,这些污染被认为完全是由大气运输造成的。尽管农药浓度低于农业河流,但农药的潜在毒性与敏感昆虫种群的显著减少有关,正如SPEARpesticides指数所示。值得注意的是,根据农药特异性指标,40%的研究溪流未达到良好状态。虽然平均农药水平与农业用地的距离加权比例有关,但与生态效应有关的潜在毒性峰值(TUmax)与农业活动的这种定量措施没有关联。它们主要与德国未批准用于农业或在研究期间已逐步淘汰的杀虫剂和杀菌剂有关,例如氟虫腈和新烟碱类杀虫剂,以及目前使用的拟除虫菊酯(在较小程度上也是如此)。我们的结论是,不能通过基于农业用地的航空运输建模来预测生态毒理学影响。环境监测是揭示农药和杀菌剂对非农业河流影响的关键。我们的研究结果强调需要进一步研究农药和杀菌剂的非农业进入途径,以减轻农药对这些重要避难所生物群落的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Pesticide contamination is associated with invertebrate community change in non-agricultural streams

Pesticide contamination is associated with invertebrate community change in non-agricultural streams
Pesticides are frequently detected in protected regions, including biosphere reserves, but their ecological impacts within these ecosystems remain insufficiently studied. Here, we examined the presence and effects of pesticides in 13 streams situated in catchments without adjacent agricultural land use, where contamination was presumed to result solely from atmospheric transport. Although pesticide concentrations were lower than in agricultural streams, the potential toxicity of pesticides was associated with a significant reduction in sensitive insect populations, as indicated by the SPEARpesticides index. Notably, 40% of the studied streams did not achieve a good status according to the pesticide specific SPEARpesticides indicator. Although mean pesticide levels were associated with distance weighted proportions of agricultural land use, the peaks of potential toxicity (TUmax) linked to ecological effects could not be associated with such quantitative measures of agricultural activity. They were mainly linked to insecticides and biocides not approved for agricultural use in Germany or phased out during the time of study, such as fipronil and neonicotinoids, and to a lesser extent also pyrethroids currently in use. We conclude that ecotoxicological impacts cannot be predicted by modelling aerial transport based on agricultural land use. Environmental monitoring is key to reveal impacts of pesticides and biocides in non-agricultural streams. Our results highlight the need for further investigation into non-agricultural entry pathways of pesticides and biocides in order to mitigate pesticide effects in these critical refuge biotopes.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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