Abstract
Neonicotinoids are one of the newest groups of systemic pesticides, effective on a wide range of invertebrate pests. The success of neonicotinoids can be assessed according to the amount used, for example, in the Czech Republic, which now accounts for 1/3 of the insecticide market. The European Union (EU) has a relatively interesting attitude towards neonicotinoids. Three neonicotinoid substances (imidacloprid, clothianidin and thiamethoxam) were severely restricted in 2013. In 2019, imidacloprid and clothianidin were banned, while thiamethoxam and thiacloprid were banned in 2020. In 2022, another substance, sulfoxaflor, was banned. Therefore, only two neonicotinoid substances (acetamiprid and flupyradifurone) are approved for outdoor use in the EU. Neonicotinoids enter aquatic ecosystems in many ways. In European rivers, neonicotinoids usually occur in nanograms per litre. Due to the low toxicity of neonicotinoids to standard test species, they were not expected to significantly impact the aquatic ecosystem until later studies showed that aquatic invertebrates, especially insects, are much more sensitive to neonicotinoids. In addition to the lethal effects, many studies point to sublethal impacts - reduced reproductive capacity, initiation of downstream drift of organisms, reduced ability to eat, or a change in feeding strategies. Neonicotinoids can affect individuals, populations, and entire ecosystems.
Keywords: acetamiprid, aquatic ecosystems, flupyradifurone, nicotinic acetylcholine receptors agonists, thiacloprid, toxicity
INTRODUCTION
Pesticides play an important role in ensuring a sustainable food supply all over the world. Their use can reduce the agricultural losses and also improve the affordability and quality of the food (Hedlund et al. 2019; Umetsu and Shirai 2020; Tudi et al. 2021). Pest management is part of agriculture since it started about 10 000 years ago. The development and use of pesticides can be divided into several stages, depending mainly on the origin of the pesticide substances. Until about the middle of the 19th century, the used substances were mainly of natural origin, derived from plants, animals, or minerals. The second half of the 19th century and the beginning of the 20th century were associated with the use of inorganic substances or by-products of industrial production. During the Second World War and subsequently until about the 1970s, synthetically produced organic substances were widely used (Umetsu and Shirai 2020). The discovery of dichlorodiphenyltrichloroethane (DDT) and subsequent warnings about its negative effects can be considered a turning point. Therefore, since the 1970s, the emphasis has been placed on the development and use of synthetic organic pesticide substances with lower risk to humans and non-target organisms (Jarman and Ballschmiter 2012; Harada et al. 2016; Sharma et al. 2019; Umetsu and Shirai 2020).
Pesticides are widely used even though could potentially be a risk to the water quality, biodiversity, and also human health. About 64% of global agricultural land is at risk of pesticide pollution by more than one active ingredient of pesticides (Tang et al. 2021). In 2020, 2.7 million tonnes of active ingredients were globally applied, which represent 7.2 million tonnes of formulated products with a value of 41.1 billion USD. About 18% of those substances were insecticides. The major contributing countries in pesticide usage are the USA, followed by Brazil, China, Argentina, and the Russian Federation (FAO 2022). Generally, pesticides are categorised, according to the target organism, into herbicides, insecticides, fungicides, bactericides, rodenticides, etc. (Abubakar et al. 2019; Hassaan and El Nemr 2020). According to the Food and Agricultural Organization of the United Nations (FAO 2022), the most common insecticides that are used worldwide are chlorinated hydrocarbons, organophosphates, carbamates–insecticides and pyrethroids. One of the most rapaciously developing group of insecticides are nicotinic insecticides (Umetsu and Shirai 2020).
NEONICOTINOIDS
These compounds are synthetically produced, originating from nicotine, and were launched on the market in the 1990s. Neonicotinoids are highly effective against a wide range of pests. They accounted for nearly 23% of the global insecticide market in 2016 (Morrissey et al. 2015; Casida 2018; Klingelhofer et al. 2022). The tobacco leaf extract was used to control garden plant pests as early as the end of the 17th century.
The active ingredient in these extracts is the alkaloid – nicotine; however, pure nicotine was not isolated before 1828 (Cremlyn 1978). In the 1970s, there were attempts to increase the usage of nicotinoids – natural substances with a similar structure to nicotine. Still, these compounds were not very practical to use commercially for plant protection due to their ease of photo degradability. After studies on the structural activity and the replacement of some components, highly effective and, at the same time, a photostable analogy of natural nicotine-neonicotinoids were formed. The first one, nithiazine, was synthesised in 1977. Nithiazine was followed by other heterocyclic compounds – imidacloprid (1985), thiacloprid (1985) and thiamethoxam (1992). At the same time, acyclic compounds were produced – nitenpyram (1988), acetamiprid (1989), clothianidin (1989) and dinotefuran (1994). A significant difference between nicotinoids and neonicotinoids is the absence of the ionisable basic amine or imine substituent (Tomizawa and Casida 2005).
In 1991, imidacloprid was launched, becoming the best-selling insecticide worldwide. This success was followed by nitenpyram and acetamiprid in 1995 and thiamethoxam in 1998. After 2000, three other compounds were launched on the market – thiacloprid (2000), clothianidin (2001), and dinotefuran (2002) (Bass et al. 2015). All those compounds are called “second-generation neonicotinoids”. Nicotine and the other compounds synthesised before imidacloprid are considered the first-generation. Nicotinic insecticides developed or launched after 2010, such as sulfoxaflor, flupyradifurone, flupyrimin, triflumezopyrim or dicloromezotiaz are considered third-generation neonicotinoids (Umetsu and Shirai 2020). The Insecticide Resistance Action Committee (IRAC) classifies nicotinic insecticides as Group 4 – Nicotinic acetylcholine receptor agonists. Group 4 includes nicotine, neonicotinoids, sulfoximines, butenolides, mesoionics and pyridylidenes (IRAC 2023). A detailed classification of the different nicotinic insecticides is shown in Table 1. All the insecticides from this group principally share the same binding site on the nicotinic acetylcholine receptors (NAChRs) and are therefore considered as sharing the same mode of action. The sub-classification is based on structural differences in the insecticide molecules (IRAC 2015). However, the Pesticide Action Network Europe (PAN Europe 2016) counters that, although the structures of flupyradifurone and sulfoxaflor are different, they are still neonicotinoid insecticides. For this reason, flupyradifurone should be treated accordingly by the regulator, considering its systemic nature and the harm it could cause to non-target organisms.
Table 1. Classification of nicotinic acetylcholine receptor agonists (IRAC 2023).
| Group 4 – Nicotinic acetylcholine receptors agonists | |||||
| neonicotinoids | sulfoximines | butenolides | mesoionics | pyridylidenes | |
| Nicotine | acetamiprid (ACE) clothianidin (CLO) dinotefuran (DNT) imidacloprid (IMI) nitenpyram (NTP) thiacloprid (THA) thiamethoxam (THM) |
sulfoxaflor (SFX) | flupyradifurone (FLU) | triflumezopyrim dicloromezotiaz |
flupyrimin |
Mechanism of the toxic effect of neonicotinoids
Neonicotinoids are classified as systemic insecticides and as neurotoxins acting on the central nervous system of organisms (Wang et al. 2018a). They work in insects and mammals as nicotinic acetylcholine receptor (nAChRs) agonists, especially the subtype α4β2 (Tomizawa and Casida 2005).
Acetylcholine (ACh) is an endogenous agonist and excitatory neurotransmitter of the cholinergic nervous system. It occurs under the action of a nicotinic cholinergic synapse in two steps. Acetylcholine is first released through the presynaptic membrane and interacts with a localised binding site on the extracellular domain nAChR complex-ion channel. A conformational change in the receptor molecule leads to the opening of the ion channel, promoting the influx of extracellular Na+ and intracellular K+, disturbing the equilibrium membrane potential. In insects, most nAChRs are located in the neutrophilic areas of the central nervous system. They are responsible for fast neurotransmission and are an important target for insecticides (Tomizawa and Casida 2005). Mammals have nAChRs mainly in the muscles, brain, and peripheral vegetative nerves. They work as chemically dependent ion channels, composed of five subunits forming vertical pores in the plasma membrane of cells (Yamamoto et al. 1998).
Vertebrates and invertebrates have different nAChRs, so neonicotinoids are thought to have a higher selectivity for invertebrate nAChRs than vertebrates. This phenomenon is the reason for the lower neurotoxicity of neonicotinoids for mammals, fish, and birds. Vertebrate receptors have a different configuration in the receptor-forming subunits, and insecticide binding is weaker or takes less time than it does with the insects (Yamamoto et al. 1998; Tomizawa and Casida 2005).
Neurotoxicity is not the only possible toxic effect of neonicotinoids (Casida 2011; Casida 2018; Thompson et al. 2020; Mukherjee et al. 2022). Studies indicate that, for vertebrates and also invertebrates, they may be genotoxic (Hong et al. 2018; Senyildiz et al. 2018), immunotoxic (Di Prisco et al. 2017; Hong et al. 2018), hepatotoxic (Wang et al. 2019), and have cytotoxic effects (Senyildiz et al. 2018; Wang et al. 2019). Some studies also (Bal et al. 2012; Lonare et al. 2014; Wessler and Kirkpatrick 2017; Ge et al. 2018; Raby et al. 2018; Picone et al. 2022) point to the possible impairment to the reproductive processes and abilities of vertebrate and invertebrate animals when exposed to neonicotinoid substances.
European Union and neonicotinoids
In the mid-1990s, shortly after the first neonicotinoids’ launch, French beekeepers warned of the loss of bees caused by the newly introduced class of systemic insecticides, particularly by the compound imidacloprid. Beekeepers reported extensive damage to foraging hives on the crops treated with imidacloprid. However, poisoning symptoms indicated more of the parasitic mite Varroa and its associated viruses (Ndakidemi et al. 2016). At the European Conference on Bee Research in 2006, Italian scientists warned of the dangers of sowing dust treated with clothianidin and imidacloprid (Greatti et al. 2006). The risk of the dust from the infested seeds was confirmed by a massive bee poisoning incident in southern Bavaria in the Rhine Valley. More than 11 500 hives showed signs of insecticide poisoning. A chemical analysis of the dust, plant samples, bee samples and pollen confirmed the poisoning was derived from clothianidin treated corn seeds (Pistorius et al. 2008). Four major studies were published in 2012 (Gill et al. 2012; Henry et al. 2012; Lu et al. 2012; Whitehorn et al. 2012), suggesting that neonicotinoids are dangerous for bees. Even though the studies contained shortcomings in the form of unrealistically simulated laboratory conditions or excessive doses of the administered pesticide, the studies made a significant contribution to the European Commission’s decision on a moratorium on the use of three neonicotinoids (imidacloprid, clothianidin and thiamethoxam) on crops attractive to bees from December 2013. The moratorium was based on laboratory studies that do not match the natural environment and bee behaviour, confusing, especially for beekeepers, who have long moved bee colonies close to flowering oilseed rape (Brassica napus subsp. napus), from whose nectar they can obtain prised honey. The moratorium is also problematic for farmers who use funds to replace the prohibited substances thus causing financial difficulties (Carreck 2017). In 2013, with Regulation No. 485/2013, the European Commission severely limited the use of plant protection products and seed treatments containing clothianidin, imidacloprid, or thiamethoxam. Measures based on a risk assessment by the European Data Protection Supervisor Food Safety Authority (EFSA) in 2013 were concerned with bee-attractive plants, such as maize, oilseed rape or sunflowers. Using pesticides containing the three substances was only possible in greenhouses, treating certain crops after flowering, or treating winter cereals. In 2017, the competent services of the European Commission submitted a proposal for a total ban on the use of these three active substances in the outdoor environment. Implementing a regulation amending the conditions for the approval of the active substances imidacloprid, clothianidin, and thiamethoxam were published in the Official Journal of the EU on 30 May 2018. The use of all three substances in the outdoor environment is prohibited and remains valid as only possible in permanent greenhouses. Other neonicotinoid substances were also evaluated – acetamiprid and thiacloprid. Acetamiprid is considered as having low toxicity to bees, and its use is approved in the EU until 28 February 2033. National authorities can assess whether there are more favourable alternatives to the used product, including non-chemical methods. The use of clothianidin and imidacloprid was definitively restricted in 2019 and thiamethoxam and thiacloprid were restricted in 2020. From 2020, some European Member States have repeatedly granted emergency authorisations for the mentioned banned substances for their use on sugar beets, but the European Commission and EFSA are analysing and monitoring these steps and discussing possible wider implications of the ruling (European Commission 2023). Only 7 years after its authorisation, the use of sulfoxaflor was restricted by a European Commission decision in April 2022. Member States withdrew or amended authorisations for plant protection products containing sulfoxaflor as an active substance by 19 November 2022 at the latest [Reg. (EU) 2022/686]. Therefore, only acetamiprid and flupyradifurone are approved for use in the EU. Although most active substances from the group of neonicotinoids are banned in the EU, these substances, mainly imidacloprid and thiacloprid, are still among the most widely used insecticides in the world, especially in China and the USA (Klingelhofer et al. 2022).
Neonicotinoids in aquatic ecosystems
Neonicotinoids are soluble in water, making them easier to use, such as a systemic insecticide. They also have different half-lives in the soil and water, where they are under anaerobic conditions and at neutral or slightly acidic pH resistant to hydrolysis (EFSA 2008; Morrissey et al. 2015). Persistence is affected by environmental conditions, such as an increased pH, and the turbidity increases the persistence (Sarkar et al. 2001). Neonicotinoids may be subject to shallow water with high transparency photodegradation. Physical-chemical properties, especially high solubility, and low soil adsorption support the movement of these pesticides through the surface and subsurface runoff (EFSA 2008).
Neonicotinoids enter aquatic ecosystems mainly through surface runoff from treated cultures (Armbrust and Peeler 2002) by leaching into the groundwater (Kreutzweiser et al. 2008), by treating cultures and sowing infested seeds in water formations, such as in rice fields (Lamers et al. 2011). During the sowing of seeds treated with neonicotinoid preparations, dust is formed, obtained as a solid fraction into the recipients in the form of fallout (Morrissey et al. 2015). Significant contamination of the surface water occurs after heavy precipitation (Chiovarou and Siewicki 2008) and during snow melts, which can carry both dissolved and solid fractions (Main et al. 2014).
Neonicotinoids have become relatively commonly detected substances in aquatic ecosystems worldwide. In surface waters, they are generally detected in the tens to hundreds of ng/l, with exceptional concentrations in the tens of μg/l (Main et al. 2014 Morrissey et al. 2015; Pietrzak et al. 2019; Sjerps et al. 2019; Lu et al. 2020; Mahai et al. 2021). The limiting concentrations for the occurrence of pesticides in drinking water in the EU are set by Directive (EU) 2020/2184 at 0.1 μg/l for each individual pesticide or its metabolite and at 0.5 μg/l for the sum of the individual pesticide concentrations set (European Commission 2020). An overview of the detected concentrations of neonicotinoids in water is given in Table 2. In general, the most widespread neonicotinoid in surface waters is imidacloprid, with data also available for acetamiprid, thiacloprid, possibly clothianidin, and thiamethoxam. The concentrations and abundance in surface waters may be influenced, to some extent, by using the surrounding landscape or the time of year when the sampling is carried out. Higher concentrations of neonicotinoids can be expected in agricultural areas and during periods of insecticide application. Neonicotinoids are also detected in sources of drinking water. If a chemical is present in the water or its residue, aquatic organisms have a minimal possibility to escape. The way how the substance affects the organism depends on its concentration, kinetics, mechanism of action and the detoxification ability of the species (Escher et al. 2011). Pesticides can enter the bodies of organisms, for example, by inhalation, together with food or passage through the epidermis (Pisa et al. 2015).
Table 2. Concentrations of neonicotinoids in global waters.
| Study location | Type of water | Neonicotinoid concentration (ng/l) | References | ||||||
| Country | location | year | acetamiprid | thiacloprid | clothianidin | imidacloprid | thiamethoxam | ||
| Czech Republic | Úhlava River | DWTP (raw water) | – | – | – | – | 11.53 | – | Troger et al. (2021) |
| mean from 18 surface water sampling locations | 2014 | 5 | 5.82 | – | – | – | CHMI (2023)* | ||
| mean from 13 surface water sampling locations | 2015 | 5 | 5 | – | – | – | |||
| mean from 137 surface water sampling locations | 2016 | 6.74 | 7.63 | – | – | – | |||
| mean from 238 surface water sampling locations | 2017 | 6.77 | 7.25 | – | – | – | |||
| mean from 261 (acetamiprid) and 368 (thiacloprid) surface water sampling locations | 2018 | 6.35 | 6.9 | – | – | – | |||
| mean from 246 (acetamiprid) and 350 (thiacloprid) surface water sampling locations | 2019 | 5 | 5.35 | – | – | – | |||
| mean from 223 (acetamiprid) and 304 (thiacloprid) surface water sampling locations | 2020 | 5.1 | 4.75 | – | – | – | |||
| mean from 184 (acetamiprid) and 273 (thiacloprid) surface water sampling locations | 2021 | 5.07 | 4.77 | – | – | – | |||
| mean from 251 (acetamiprid) and 347 (thiacloprid) surface water sampling locations | 2022 | 5.47 | 4.39 | – | – | – | |||
| Austria | Schwarzau | river water | 2018 | – | 0.7 | 12 | < LOD (2.5 ng/l) | – | Casado et al. (2019) |
| Stiefing | river water | 2018 | < LOD (5 ng/l) | < LOD (0.5 ng/l) | 10.7 | < LOD (2.5 ng/l) | < LOD (2.5 ng/l) | ||
| Belgium | Moubeek | canal water | 2018 | – | – | – | 3.4 | – | Casado et al. (2019) |
| Wulfdambeek | canal water | 2018 | < LOD (5 ng/l) | – | – | 4.3 | < LOD (2.5 ng/l) | ||
| De Wamp | canal water | 2018 | – | 21.5 | – | 6 | < LOD (2.5 ng/l) | ||
| Denmark | Hove | river water | 2018 | – | – | – | 25.7 | – | Casado et al. (2019) |
| Skensved | river water | 2018 | – | – | 20.9 | – | < LOD (2.5 ng/l) | ||
| France | Ruisseau de la Madoire | river water | 2018 | – | – | – | 5.1 | – | Casado et al. (2019) |
| Le Gouessant | river water | 2018 | – | 2.9 | – | 6.3 | – | ||
| Germany | Ems | river water | 2018 | – | < LOD (0.5 ng/l) | – | 34.5 | – | Casado et al. (2019) |
| Essener | canal water | 2018 | – | < LOD (0.5 ng/l) | – | 2.6 | – | ||
| Soeste | river water | 2018 | – | < LOD (0.5 ng/l) | – | 8.5 | 10.1 | ||
| Italy | Lake | DWTP (raw water) | – | 2.09 | – | – | 1.98 | – | Troger et al. (2021) |
| Mariana Mantovana | canal water | 2018 | – | – | < LOD (5 ng/l) | 5.1 | 2.5 | ||
| Roggia Saverona | river water | 2018 | – | – | < LOD (5 ng/l) | 5.8 | 9.4 | Casado et al. (2019) | |
| Cumigano sul Nauiglio | canal water | 2018 | – | – | – | < LOD (2.5 ng/l) | 2.5 | ||
| Poland | Wkra | river water | 2018 | – | – | – | 7.5 | – | Casado et al. (2019) |
| Mlawka | river water | 2018 | < LOD (5 ng/l) | – | – | 5.9 | – | ||
| Portugal | Alquera Reservoir | surface water | 2017–2018 | – | 5.7 | – | – | 7.9 | Palma et al. (2021) |
| Guadiana Streams | surface water | 2017–2018 | – | 5.6 | – | 60.8 | 8.6 | ||
| Spain | Tagus River | surface water | 2020 | 0.05–3.55 | 0.04–1.43 | 0.04–2.54 | 0.28–10.18 | 0.04–2.39 | Casillas et al. (2022) |
| Turia River | surface water | 2012 | – | – | – | 8.04 | – | Ccanccapa et al. (2016) | |
| Turia River | – | 2013 | – | – | – | 3.54 | – | ||
| Llobregat River | surface water | 2016 | 8–15 | – | – | 5–447 | – | Quintana et al. (2019) | |
| Llobregat River | – | 2017 | 6–14 | – | – | 5–215 | – | ||
| Llobregat River | ground water | 2016 | – | – | – | 5–16 | – | ||
| Llobregat River | ground water | 2017 | – | – | – | 5–10 | – | ||
| Besós River | ground water | 2016 | – | – | – | 23–25 | – | ||
| Besós River | ground water | 2017 | – | – | – | 7–27 | – | ||
| Barcelona | DWTP (raw water) | 2016 | – | – | – | 5–6 | – | ||
| Barcelona | DWTP (raw water) | 2017 | 7 | – | – | 5–51 | – | ||
| Rioja Baja | surface water | 2019 | – | – | – | 4–70 | – | Manjarres-Lopez et al. (2021) | |
| not specified | DWTP (raw water) | – | 8.1 | – | – | 19.86 | – | Troger et al. (2021) | |
| Flúmen | river water | 2018 | – | 1.3 | – | 9.4 | – | Casado et al. (2019) | |
| Segre | river water | 2018 | < LOD (5 ng/l) | 3.7 | < LOD (5 ng/l) | 47.1 | < LOD (2.5 ng/l) | ||
| United Kingdom | Otter | river water | 2018 | – | < LOD (0.5 ng/l) | – | 13.9 | – | Casado et al. (2019) |
| Tale | river water | 2018 | – | < LOD (0.5 ng/l) | < LOD (5 ng/l) | 7.2 | – | ||
| Argentina | Tapalqué River | surface water | 2014–2015 | – | – | – | 8–190 | – | Mas et al. (2020) |
| Bandera | surface water | 2014–2017 | – | – | – | 43 | – | ||
| Canada | Grand River | DWTP (raw water) | 2015 | ND (LOD = 3 ng/l) | 2.7 | 77.1–138.1 | 13.5 | 18.2–42.9 | Sultana et al. (2018) |
| Lake Erie | DWTP (raw water) | 2015 | ND (LOD = 3 ng/l) | ND (LOD = 1 ng/l) | 5.9–7.2 | 2.7–4.3 | 32.2–38.9 | ||
| Detroit River | DWTP (raw water) | 2015 | ND (LOD = 3 ng/l) | ND (LOD = 1 ng/l) | 6.8–33.2 | 4.4 | 52.7 | ||
| Lake St. Clair | DWTP (raw water) | 2015 | ND (LOD = 3 ng/l) | ND (LOD = 1 ng/l) | 28.7–86.9 | 3.7–8.6 | 10.2–283.5 | ||
| Nicomekl River | surface water | 2020 | – | – | 13–18 | 10–662 | 5 | Manojlovic et al. (2021) | |
| Nicomekl River | surface water | 2018 | – | – | 5–31.2 | 9.4–3 400 | 4.6–146 | ||
| Nicomekl River | surface water | 2017 | – | – | 5.6 –163 | 25–213 | 9.7–187 | ||
| USA | Minnesota | rivers and streams | 2019 | ND – 1.5 (LOD = 0.42 ng/l) | – | ND – 38 (LOD = 0.42 ng/l) | ND – 11 (LOD = 0.23 ng/l) | ND – 8 (LOD = 0.12 ng/l) | Berens et al. (2021) |
| Minnesota | lakes | 2019 | ND (LOD = 0.42 ng/l) | ND – 1.6 (LOD = 0.42 ng/l) | ND – 3.6 (LOD = 0.23 ng/l) | ND – 1.4 (LOD = 0.12 ng/l) | |||
| Iowa City | tap water | 2016 | – | – | 3.89–33.46 | 1.22–26.36 | 0.26–4.15 | Klarich et al. (2017) | |
| Iowa | wells (raw drinking water) | 2017–2018 | ND | ND | < 0.05–13.4 | < 0.09–2.4 | < 0.03–20.6 | Thompson et al. (2021) | |
| China | Taihu Lake | surface water | 2018 | 0.87–8.73 | – | – | 7.24–65.8 | 1.24–10 | Zhou et al. (2020) |
| Shanghai | DWTP (raw water) | 2018–2019 | 10.35 | – | – | 21.26 | 13.19 | Dong et al. (2021) | |
| Shanghai | DWTP (treated water) | 2018–2019 | 5.49 | – | – | 10.97 | 9.57 | ||
| Huangpu River | surface water | 2018–2019 | 2.3–44.30 | – | – | 4–170.2 | 1.10–156.7 | Xu et al (2020) | |
| Yangtze River Delta | river water | 2016 | 2.213–58.487 | – | – | 10.924–1 886.882 | 2.974–90.848 | Peng et al. (2018) | |
| Qing Reservoir – Yangtze River | DWTP (raw water) | 2016 | 1.86 | – | – | 2.48 | 6.69 | Troger et al. (2021) | |
| Jin Reservoir – Huangpu River | DWTP (raw water) | 2016 | 8.21 | – | – | 6.32 | 4.75 | ||
| Hainan | surface water | 2018–2019 | 0–3 420 | – | – | 0–8 630 | – | Tan et al. (2021) | |
| Indonesia | Indramayu Regency | estuarine water | 2020 | – | 1.77 | – | 8.75 | 7.13 | Putri et al. (2022) |
| Japan | Surface water | DWTP (raw water) | 2016 | 1.08 | – | – | 1.29 | 3.23 | Troger et al. (2021) |
| Saudi Arabia | Al-Hassa Oasis | surface water | 2017–2018 | 0–12.2 | – | – | 0–445 | 0–10.8 | Pico et al. (2020) |
| Vietnam | Hanoi | lake water | 2019 | 5.37 | – | – | 1.93 | 0.81 | Wan et al. (2021) |
| Hanoi | river water | 2019 | 0.25 | – | – | 0.33 | 0.23 | ||
| Hanoi | tap water | 2019 | 0.07 | – | – | 0.06 | 0.19 | ||
| Saigon River | DWTP (raw water) | 2016 | 7.59 | – | – | 5.18 | 9.18 | Troger et al. (2021) | |
DWTP = drinking water treatment plant; LOD = limit of detection; ND = not detected
*Data obtained from Mgr. Vít Kodeš, Ph.D., head of Water Quality section of the Czech Hydrometeorological Institute
Effects of selected neonicotinoids to aquatic organisms
Neonicotinoids can have significant sublethal and lethal effects on many aquatic invertebrates (Morrissey et al. 2015; Pagano et al. 2020). Aquatic invertebrates are a crucial component of ecosystems and form an essential link for energy flow between trophic layers. Invertebrates are important predators, parasites, and decomposers; they form the food base for many organisms from higher levels of the food chain (Covich et al. 1999). For their susceptibility to water contamination, invertebrates are excellent bioindicators for evaluating the presence of pollutants and the state of the ecosystem (Borges et al. 2021).
Acute and chronic toxicity of neonicotinoid insecticides significantly vary between species; the most sensitive orders are mayflies (Ephemeroptera), caddisflies (Trichoptera) and some species of Diptera, especially larvae of some midges (Chironomidae). Some species of these orders of insects already show a lethal effect at concentrations below 1 μg/l (Morrissey et al. 2015). With an increased exposure time, the LC50 (concentration that causes the death of 50% of tested organisms) value decreases (Sanchez-Bayo and Tennekes 2020).
Until it was banned, thiacloprid was one of the most widely used pesticide substances in the EU. Currently, acetamiprid and flupyradifurone are the only authorised substances for outdoor use in the EU. There are a relatively large number of studies on the toxic effects of acetamiprid and thiacloprid on aquatic organisms. However, there are few studies on the effects of flupyradifurone. Most of the available studies deal with the effects of the active substance, but only a few studies deal with the effects of the pesticide product itself. The basic characteristics of thiacloprid (THA), acetamiprid (ACE) and flupyradifurone (FLU) are presented in Table 3. The acute toxicity of THA, ACE and FLU for the selected aquatic organisms is presented in Table 4. The chronic toxicity of the same solutions for the selected aquatic organisms is presented in Table 5. Acute and chronic exposure to neonicotinoids has been shown to affect a range of aquatic organisms. During acute exposure, the larvae and adults of mosquitoes, freshwater amphipods, mayflies and other invertebrates appear to be the most sensitive. Lesser effects were then observed on Bivalvia, fish and amphibians. The chronic exposure of invertebrates usually affects the hatching, larval development, and mortality. Altered feeding strategies have also been observed. The chronic exposure of fish usually affects the hatching, development, growth, reproduction, enzymatic antioxidants biomarkers and oxidative stress. However, a shortcoming of many studies is the unclear methodology and the use of concentrations that are unrealistic to occur in the environment.
Table 3. Basic thiacloprid, acetamiprid and flupyradifurone characteristics.
| Characteristic | Thiacloprid | Acetamiprid | Flupyradifurone |
| Chemical name | [3-[(6-chloropyridin-3-yl)methyl]-1,3-thiazolidin-2-ylidene]cyanamide | N-[(6-chloropyridin-3-yl)methyl]-N'-cyano-N-methylethanimidamide | 3-[(6-chloropyridin-3-yl)methyl-(2,2-difluoroethyl)amino]-2H-furan-5-one |
| Molecular formula | C10H9ClN4S | C10H11ClN4 | C12H11ClF2N2O2 |
| CAS | 111988-49-9 | 160430-64-8 | 951659-40-8 |
| Molecular weight (g/mol) | 252.72 | 222.67 | 288.68 |
| Colour | yellowish | white | – |
| Form | crystalline powder | crystals, crystalline solid | – |
| Odour | odourless | odourless | – |
| Solubility in water (g/l) | 0.185 | 4.2 | – |
| Soluble in | water, dichloromethane, n-octanol, n-propanol, acetone, ethyl acetate, polyethylene glycol, acetonitrile, DMSO | water, acetone, methanol, ethanol, dichloromethane, chloroform, acetonitrile, tetrahydrofuran | – |
| log Kow | 1.26 at 20 °C | 0.80 at 25 °C | – |
| Date of approval in EU | 01.01.2005 | 01.01.2005 | 09.12.2015 |
| Expiration of approval in EU | 03.02.2020 | 28.02.2033 | 09.12.2025 |
| Chemical structure depiction |
|
|
|
| References | PubChem (2023a) | PubChem (2023b) | PubChem (2023c) |
Table 4. Acute toxicity of acetamiprid, flupyradifurone and thiacloprid for selected aquatic organisms.
| Type of organism | Common name | Scientific name | Pesticide | Age/size | Endpoint | Toxicity (mg/l) | Other effects | References |
| Crustacea | Water flea | Daphnia magna | acetamiprid | < 24 hours | 48hEC50 | 50 | – | EPA (2023) |
| flupyradifurone | < 24 hours | 48hEC50 | > 77.6 | – | ||||
| thiacloprid | < 24 hours | 48hEC50 | 22.52 | – | ||||
| Ceriodaphnia dubia | acetamiprid | < 24 hours | 48hLC50 | > 33.5 | – | Raby et al. (2018) | ||
| thiacloprid | < 24 hours | 48hLC50 | > 41.5 | – | ||||
| Mysid | Americamysis bahia | acetamiprid | < 24 hours | 96hLC50 | 0.066 | – | EPA (2023) | |
| flupyradifurone | < 24 hours | 96hLC50 | 0.25 | – | ||||
| thiacloprid | < 24 hours | 96hLC50 | 0.031 | – | ||||
| Freshwater amphipod | Hyalella azteca | acetamiprid | 2–10 days | 96hLC50 | 0.004 7 | – | Bartlett et al. (2019) | |
| acetamiprid | 2–9 days | 96hLC50 | 0.004 8 | – | Raby et al. (2018) | |||
| flupyradifurone | 2–10 days | 96hLC50 | 0.026 | – | Bartlett et al. (2019) | |||
| thiacloprid | 2–10 days | 96hLC50 | 0.068 | – | ||||
| thiacloprid | 14–21 days | 96hLC50 | 0.037 | – | EPA (2023) | |||
| thiacloprid | 2–9 days | 96hLC50 | 0.363 2 | – | Raby et al. (2018) | |||
| Black Tiger shrimp | Penaeus monodon | acetamiprid | 67–70 days | 48hLC50 | > 0.500 | ↑CAT, GST, AChE | Butcherine et al. (2021) | |
| Isopod | Caecidotea sp. | acetamiprid | adults | 96hLC50 | 2.129 6 | – | Raby et al. (2018) | |
| Common yabby | Cherax destructor | Calypso 480 SC (thiacloprid 480 g/l) |
7.04 ± 3.4 g | 96hLC50 | 7.7 | movement decreased with increasing concentration; behavioural changes in conc. from 5 mg/l; ↓LPO | Stara et al. (2019) | |
| Scud | Gammarus asciatus | acetamiprid | N.R. | 96hEC50 | 0.08 | – | EPA (2023) | |
| Worm | California blackworm | Lumbriculus variegatus | acetamiprid | 7 days | 96hLC50 | 0.026 5 | – | Raby et al. (2018) |
| thiacloprid | 7 days | 96hLC50 | 0.033 8 | – | ||||
| Insects | Midge | Chironomus riparius | acetamiprid | 4 days | 48hLC50 | 0.209 | – | EPA (2023) |
| flupyradifurone | < 3 days | 48hLC50 | 0.063 9 | – | ||||
| Chironomus dilutus | acetamiprid | 3rd instar | 96hLC50 | 0.002 8 | – | Raby et al. (2018) | ||
| flupyradifurone | larvae | 96hLC50 | 0.016 6 | – | Maloney et al. (2020) | |||
| thiacloprid | 3rd instar | 96hLC50 | 0.001 6 | Raby et al. (2018) | ||||
| Eurasian Bluet | Coenagrion sp. | acetamiprid | nymphs | 96hLC50 | 24.392 9 | – | Raby et al. (2018) | |
| thiacloprid | nymphs | 96hLC50 | 5.647 2 | – | ||||
| Water boatmen | Trichocorixa sp. | acetamiprid | adults | 48hLC50 | 1.515 2 | – | Raby et al. (2018) | |
| thiacloprid | adults | 48hLC50 | 0.135 3 | – | ||||
| Caddisfly | Cheumatopsyche sp. | acetamiprid | nymphs | 96hLC50 | 0.403 8 | – | Raby et al. (2018) | |
| thiacloprid | nymphs | 96hLC50 | > 0.92 | – | ||||
| Whirligig beetle | Gyrinus sp. | acetamiprid | adults | 96hLC50 | 0.686 5 | – | Raby et al. (2018) | |
| thiacloprid | adults | 96hLC50 | 0.180 9 | – | ||||
| Riffle beetle | Stenelmis sp. | acetamiprid | adults | 96hLC50 | 0.238 3 | – | Raby et al. (2018) | |
| thiacloprid | adults | 96hLC50 | 0.183 6 | – | ||||
| Mosquito | Culex quinquefasciatus | acetamiprid | adults | 48hLC50 | 0.000 56 | – | Shah et al. (2016) | |
| Mospilan 20 SP (acetamiprid 20%) | larvae | 48hLC50 | 0.000 005–0.000 104 | – | Kamran et al. (2022) | |||
| Culex pipiens | Acetivot 20% WP (acetamiprid 20%) | larvae | 72hLC50 | 0.006 5 | ↑AChE; GST | Abdel-Haleem et al. (2020) | ||
| Aedes sp. | acetamiprid | larvae | 48hLC50 | 0.159 6 | – | Raby et al. (2018) | ||
| thiacloprid | larvae | 48hLC50 | 0.053 4 | – | ||||
| Mayfly | Ephemerella sp. | acetamiprid | nymphs | 96hLC50 | 0.158 2 | – | Raby et al. (2018) | |
| thiacloprid | nymphs | 96hLC50 | 0.190 6 | – | ||||
| Hexagenia spp. | acetamiprid | nymphs | 96hLC50 | 0.78 | – | Bartlett et al. (2018) | ||
| acetamiprid | 4–6 mg | 96hLC50 | > 35.6 | – | Raby et al. (2018) | |||
| flupyradifurone | nymphs | 96hLC50 | 2 | – | Bartlett et al. (2018) | |||
| thiacloprid | nymphs | 96hLC50 | 6.2 | – | ||||
| thiacloprid | 4–6 mg | 96hLC50 | > 9.3 | – | Raby et al. (2018) | |||
| Isonychia bicolor | acetamiprid | nymphs | 96hLC50 | > 9.6 | – | Raby et al. (2018) | ||
| McCaffertium sp. | acetamiprid | nymphs | 96hLC50 | > 0.89 | – | Raby et al. (2018) | ||
| thiacloprid | nymphs | 96hLC50 | 0.92 | – | ||||
| Cloeon sp. | acetamiprid | nymphs | 96hLC50 | 2.369 7 | – | Raby et al. (2018) | ||
| thiacloprid | nymphs | 96hLC50 | 3.826 | – | ||||
| Neocleon triangulifer | acetamiprid | < 24 hours | 96hLC50 | 0.001 7 | – | Raby et al. (2018) | ||
| thiacloprid | < 24 hours | 96hLC50 | 0.019 | – | ||||
| Caenis sp. | acetamiprid | nymphs | 96hLC50 | 0.782 8 | – | Raby et al. (2018) | ||
| thiacloprid | nymphs | 96hLC50 | 0.231 4 | – | ||||
| Bivalvia | Mediterranean mussel | Mytilus galloprovincialis | thiacloprid | 6.85 ± 0.57 cm | 96hLC50 | > 10 | ↑CAT in gills after 3 days of exposure to 10 mg/l; ↓CAT in digestive gland after 7 days of exposure to 5 mg/l | Stara et al. (2020a) |
| Calypso 480 SC (thiacloprid 480 g/l) | 6.85 ± 0.57 cm | 96hLC50 | > 100 | ↓CAT in digestive gland after 3 days of exposure to 100 mg/l and in gills after 10 days in all concentrations; ↓SOD in gills after 3 days in all concentrations | ||||
| Eastern oyster | Crassostrea virginica | acetamiprid | spat | 96hLC50 | 41 | – | EPA (2023) | |
| flupyradifurone | spat | 96hLC50 | > 29 | – | ||||
| thiacloprid | spat | 96hLC50 | 4 | – | ||||
| Fish | African catfish | Clarias gariepinus | acetamiprid | juveniles | 96hLC50 | 265.7 | – | Houndji et al. (2020) |
| Nile tilapia | Oreochromis niloticus | Telfast 20 SP (acetamiprid 20%) | juveniles | 96hLC50 | 195.813 | – | El-Garawani et al. (2022) | |
| Telfast 20 SP (acetamiprid 20%) | juveniles | 96hLC50 | 202.35 | – | Hathout et al. (2021) | |||
| Rainbow trout | Oncorhynchus mykiss | acetamiprid | 2.05 g | 96hLC50 | > 100 | – | EPA (2023) | |
| flupyradifurone | 0.79 g | 96hLC50 | > 74.2 | – | ||||
| thiacloprid | 1.2 g | 96hLC50 | 30.2 | – | ||||
| Eastern mosquitofish | Gambusia holbrooki | RastT 20SP (acetamiprid 20%) | 3.5 ± 0.07 cm; 0.54 ± 0.16 g | 96hLC50 | 42.2 | significant changes in GST; GR | Demirci and Gungordu (2020) | |
| Major South Asian carp | Catla catla | acetamiprid | 10–15 g | 96hLC50 | – | ↓CAT, SOD, GST, GSH in gill; ↓LPO increase | Veedu et al. (2022) | |
| Grass carp | Ctenopharyngodon idela | Telfast 20 SP (acetamiprid 20%) | 30 ± 2 g | 96hLC50 | 121.146 | – | Azadikhah et al. (2023) | |
| Zebrafish | Danio rerio | acetamiprid | larvae (5 dpf) | 96hLC50 | 58.39 | – | Hu et al. (2023) | |
| acetamiprid | embryo | 96hLC50 | 143.9 | – | ||||
| acetamiprid | adults | 96hLC50 | 10.36 | ↑GST in brain and liver | Wang et al. (2018b) | |||
| acetamiprid | juvenile | 96hLC50 | 36.91 | – | ||||
| acetamiprid | larvae | 96hLC50 | 15.52 | – | ||||
| acetamiprid | embryo | 96hLC50 | 13.33 | – | ||||
| flupyradifurone | 5.5 hpf | 96hLC50 | 210 | ↓heart rate, body length, survival rate; abnormalities in cardiac development (elongated pericardium, pericardial edema aggravation, increased atrial ventricular spacing, increased degree of the un-looped heart; ↓CAT, SOD | Zhong et al. (2021) | |||
| Fathead minnow | Pimephales promelas | flupyradifurone | 0.85 g | 96hLC50 | > 70.5 | – | EPA (2023) | |
| thiacloprid | 0.24 | 96hLC50 | > 104 | – | ||||
| Common carp | Cyprinus carpio | flupyradifurone | 1.7 g | 96hLC50 | > 80 | – | EPA (2023) | |
| Sheepshead minnow | Cyprinodon variegatus | acetamiprid | 0.53 g | 96hLC50 | 100 | – | EPA (2023) | |
| flupyradifurone | 0.24 g | 96hLC50 | > 83.9 | – | ||||
| thiacloprid | 0.23 g | 96hLC50 | 19.7 | – | ||||
| Amphibians | Western clawed frog | Silurana tropicalis | acetamiprid | tadpole | 96hLC50 | > 100 | – | Saka and Tada (2021) |
| African clawed frog | Xenopus laevis | acetamiprid | tadpole | 96hLC50 | 64.48 | – | Jiao et al. (2023) | |
| Calypso OD240 (thiacloprid 240 g/l) | tadpole | 96hLC50 | 13.41 | – | Uckun and Ozmen (2021) | |||
| Dark-spotted frog | Rana nigromaculata | acetamiprid | tadpole | LC50 | 18.49 | – | Guo et al. (2022) |
48hEC50 = concentration causing inhibition of 50 % of test organisms in 48 hours; 48hLC50 = concentration causing mortality of 50 % of test organisms in 48 hours; 96hLC50 = concentration causing mortality of 50 % of test organisms in 96 hours; AChE = enzymatic activity of acetylcholine esterase; CAT = enzymatic activity of catalase; dpf = days post fertilisation; GR = enzymatic activity of glutathione reductase; GSH = concentration of glutathione; GST = enzymatic activity of glutathione-S-transferases; hpf = hours post fertilisation; LPO = lipid peroxidation; SOD = enzymatic activity of superoxide dismutasew
Table 5. Chronic toxicity of acetamiprid, flupyradifurone and thiacloprid for selected aquatic organisms.
| Type of organism | Common name | Scientific name | Pesticide | Study length | Used concentrations | LOEC (mg/l) | NOEL (mg/l) | Other effects | References |
| Crustaceans | Water flea | Daphnia magna | flupyradifurone | 21 days | – | 6.73 | 3.42 | – | EPA (2023) |
| acetamiprid | 21 days | – | 9 | 5 | – | ||||
| thiacloprid | 21 days | – | 1.01 | 0.56 | – | ||||
| Marine copepod | Acartia tonsa | thiacloprid | 26 days (21 days for F0 + 5 days for F1) | 10 and 100 ng/l | – | – | hatching affected; larvae development inhibited | Picone et al. (2022) | |
| acetamiprid | 26 days (21 days for F0 + 5 days for F1) | 10 and 100 ng/l | – | – | ↓egg production; hatching affected; larvae development inhibited; ↑larval mortality | ||||
| Freshwater amphipod | Gammarus fossarum | Calypso 480 SC (thiacloprid 480 g/l) | 7 days | 0.75–6 μg/l | – | – | ↓leaf consumption; ↑predation on Baetis nymphs | Bundschuh et al. (2020) | |
| Mysid | Americamysis bahia | flupyradifurone | 28 days | – | 23.6 | 1.32 | – | EPA (2023) | |
| acetamiprid | 28 days | – | 0.004 7 | 0.002 5 | – | ||||
| thiacloprid | 32 days | – | 0.002 2 | 0.001 1 | – | ||||
| Insects | Midge | Chironomus riparius | flupyradifurone | 28 days | – | 0.021 3 | 0.010 5 | – | EPA (2023) |
| acetamiprid | 28 days | – | 0.01 | 0.005 | – | ||||
| thiacloprid | 28 days | – | 0.003 2 | 0.001 8 | – | ||||
| Gastropods | Mediterranean mussel | Mytilus galloprovincialis | thiacloprid | 7 days | 4.5 and 450 μg/l | – | – | histological damage to the digestive gland and gills; ↓CAT; GST; LPO | Stara et al. (2021) |
| Calypso 480 SC (thiacloprid 480 g/l) | 20 days; 10 days recovery period | 7.77 and 77.7 mg/l | – | – | ↓haemolymph parameters (Cl-, Na+); affected SOD of digestive gland and CAT of gill; histopathological alterations in digestive gland and gills | Stara et al. (2020b) | |||
| Fish | Common carp | Cyprinus carpio | thiacloprid | 35 days | 4.5; 45; 225; 450 μg/l | – | – | ↓lower weight and length; ↓SOD and GR activity | Velisek and Stara (2018) |
| Zebrafish | Danio rerio | acetamiprid | 154 days | 0.19–1 637 μg/l | – | – | feminization and reproductive dysfunction in zebrafish; impaired production and development of offspring | Ma et al. (2022) | |
| Nile tilapia | Oreochromis niloticus (juveniles) | Telfast 20 SP (acetamiprid 20%) | 21 days | 19.5 mg/l (representing 96hLC50/10) | – | – | colour darkening; sluggish swimming; raised fins; lethargy; enlarged dark gall bladders | El-Garawani et al. (2022) | |
| Telfast 20 SP (acetamiprid 20%) | 21 days | 10; 20 mg/l | – | – | ↓SOD, GPx; production of LPO substances in fish liver | Hathout et al. (2021) | |||
| Rainbow trout | Oncorhynchus mykiss (early lyfestages) | thiacloprid | 97 days | – | 1.91 | 0.92 | – | EPA (2023) | |
| Fathead minnow | Pimephales promelas | flupyradifurone | 35 days | – | 8.4 | 4.4 | – | EPA (2023) | |
| acetamiprid | 35 days | – | 38.4 | 19.2 | – | ||||
| thiacloprid | 33 days | – | > 0.170 | 0.17 | – | ||||
| 106 days | – | > 0.710 | 0.71 | – | |||||
| 260 days | – | – | – | – | |||||
| Amphibians | African clawed frog | Xenopus laevis (tadpole) | acetamiprid | 28 days | 0.645 and 6.45 mg/l (representing 1/100 and 1/10 96hLC50) | – | – | ↑melano-macrophages; obscure liver cords; inflammatory infiltration in liver tissues | Jiao et al. (2023) |
| Rana nigromaculata (tadpole) | acetamiprid | 28 days | 0.185 and 1.85 mg/l | – | – | ↑CAT, SOD, GR, GST ↓AChE | Guo et al. (2022) | ||
| Egyptian toads | Sclerophrys regularis (adults) | Acetamore 20% (acetamiprid 20%) | 14 days | 40 mg/l | – | – | ↑the serum levels of total lipid, cholesterol, triglyceride, AST, ALT; ↓in hepatic GSH and SOD; ↑MDA | Saad et al. (2022) | |
| Western clawed frog | Silurana tropicalis (tadpole) | acetamiprid | 26–28 days | 0.1 and 1 mg/l (representing 1/10 and 1/100 of 96hLC50) | – | – | no significant differences in any of the endpoints (mortality, malformations and other visually recognisable abnormalities) | Saka and Tada (2021) |
AChE = enzymatic activity of acetylcholine esterase; ALT = alanine aminotransferase; AST = aspartate aminotransferase; CAT = enzymatic activity of catalase; dpf = days post fertilisation; GPx = enzymatic activity of glutathione peroxidase; GR = enzymatic activity of glutathione reductase; GSH = concentration of glutathione; GST = enzymatic activity of glutathione-S-transferases; hpf = hours post fertilisation; LOEC = lowest observed effect concentration; LPO = lipid peroxidation; MDA = malondialdehyde; NOEC = no observed effect concentration; SOD = enzymatic activity of superoxide dismutase
The initiation of downstream drift may be a sublethal effect of neonicotinoids, especially in running water organisms (Beketov and Liess 2008). Another observed phenomenon of organisms during exposure to neonicotinoids is a reduced ability to eat, even after being relocated to a clean environment (Alexander et al. 2007). When evaluating neonicotinoids and other substance effects, not only the lethal and sublethal effects to organisms should be evaluated, but also community-wide effects, the interactions between the organisms and the functionality of the whole ecosystem should also be addressed (Hladik et al. 2018). The individual components of ecosystems are closely interconnected, although neonicotinoids do not cause vertebrate mortality directly, they act on them through their food base. The reduction in invertebrate abundance correlates with the reduction in the abundance of animals whose food base consists mainly of invertebrates (Sanchez-Bayo et al. 2016). As stated by Hayasaka et al. (2012), the recovery of populations affected by neonicotinoids is very challenging and slow, so it can be assumed that the return of aquatic invertebrate predators will also be slow. One of the basic functions of ecosystems is the decomposition of organic matter, which, among others, the larvae of mayflies (Ephemeroptera), caddisflies (Trichoptera) and stoneflies (Plecoptera), are also sensitive, which are also considered as bioindicators of water quality (Morse et al. 1993). If these organisms are reduced by neonicotinoids, a reduction in their deterrent activity also occurs. This phenomenon can also materialise as a sublethal effect (Kreutzweiser et al. 2008; Bundschuh et al. 2020). The decomposition of organic matter affects the water quality in its recipients. The deterioration in the water quality can, thus, be one of the indicators of the presence of pollutants in the environment (Sanchez-Bayo et al. 2016).
Neonicotinoids in the Czech Republic
The success and use of neonicotinoids in agriculture can be demonstrated by their usage in the Czech Republic. In 2007, they accounted for less than 4% of the total usage of insecticides in the Czech Republic. Even though the total consumption of insecticides in the Czech Republic has decreased since 2018, the share of neonicotinoids in the consumption is on the contrary increasing. While it was less than 18% in 2018 and less than 19% in 2019, from 2020, the neonicotinoid consumption covers 1/3 of the total insecticide consumption in the Czech Republic. The ratio of neonicotinoid consumption to insecticide consumption in the Czech Republic is shown in Figure 1. Since the beginning of neonicotinoid use, acetamiprid and thiacloprid have been the most used neonicotinoid substances, followed by imidacloprid and thiamethoxam to a lesser extent. The changing EU legislation and gradual bans of the selected substances are highly evident in the trends of neonicotinoid use. The trend in consumption of individual neonicotinoid substances registered in the Czech Republic is shown in Figure 2. Up to 85% of the neonicotinoids consumed in the Czech Republic are applied to oilseeds and around 10% are applied to cereals (CISTA 2023).
Figure 1. The ratio of neonicotinoid consumption to insecticide consumption in the Czech Republic (in %) (CISTA 2023).

Figure 2. The trend in consumption of neonicotinoid substances registered in the Czech Republic (in kg) (CISTA 2023).

CONCLUSION
As one of the most progressive groups of insecticides, neonicotinoids are also one of the most detected pesticides in global waters. Their success and popularity can be demonstrated by the example of the Czech Republic, where they currently occupy more than 1/3 of the total insecticide market. Although they appeared to be of low toxicity to non-target organisms and invertebrates in general when they were introduced, several studies have shown that these claims are not entirely true. A number of neonicotinoids are highly toxic to pollinators and, for this reason, the EU has taken measures to restrict the use and even ban certain neonicotinoids altogether within the EU. Acute and chronic exposure to neonicotinoids has been shown to affect a range of aquatic organisms. During acute exposure, the larvae and adults of mosquitoes, freshwater amphipods, mayflies and other invertebrates appear to be most sensitive. Lesser effects were then observed on Bivalvia, fish and amphibians. The chronic exposure of invertebrates usually affects the hatching, larval development, and mortality. Altered feeding strategies have also been observed. The chronic exposure of fish usually affects the hatching, development, growth, reproduction, enzymatic antioxidants biomarkers and oxidative stress. However, a shortcoming of many studies is the unclear methodology and the use of concentrations that are unrealistic to occur in the environment. However, threats to individual species of organisms can pose a problem for their entire populations, even for entire ecosystems.
Funding Statement
Supported by Ministry of Agriculture of the Czech Republic — Project No. QK1910282.
Conflict of interest
The authors declare no conflict of interest.
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