scieee AI-readable full text Open interactive document viewer

An update of the Worldwide Integrated Assessment (WIA) on systemic pesticides. Part 4: alternatives in major cropping systems

Veres, Andrea; Wyckhuys, Kris A. G.; Kiss, Jozsef; Tóth, Ferenc; Burgio, Giovanni; Furlan, Lorenzo; Avilla Hernández, Carlos

Abstract

We present a synthetic review and expert consultation that assesses the actual risks posed by arthropod pests in four major crops, identifies targets for integrated pest management (IPM) in terms of cultivated land needing pest control and gauges the imple mentation “readiness” of non-chemical alternatives. Our assessment focuses on the world’s primary target pests for neonicotinoid-based management: western corn rootworm (WCR, Diabrotica virgifera virgifera) in maize; wireworms (Agriotes spp.) in maize and winter wheat; bird cherry-oat aphid (Rhopalosiphum padi) in winter wheat; brown planthopper (BPH, Nilaparvata lugens) in rice; cotton aphid (Aphis gossypii) and silver-leaf whitefly (SLW, Bemisia tabaci) in cotton. First, we queried scientific literature databases and consulted experts from different countries in Europe, North America, and Asia about available IPM tools for each crop-pest system. Next, using an online survey, we quantitatively assessed the economic relevance of target pests by compiling country-level records of crop damage, yield impacts, extent of insecticide usage, and “readiness” status of various pest management alternatives (i.e., research, plot-scale validation, grower-uptake). Biological control received considerable scientific attention, while agronomic strategies (e.g., crop rotation), insurance schemes, decision support systems (DSS), and innovative pesticide application modes were listed as key alternatives. Our study identifies oppor tunities to advance applied research, IPM technology validation, and grower education to halt or drastically reduce our over reliance on systemic insecticides globally.

Full text

REVIEW ARTICLE An update of the Worldwide Integrated Assessment (WIA) on systemic pesticides. Part 4: Alternatives in major cropping systems Andrea Veres 1 &Kris A. G. Wyckhuys 2,3,4,5 &Jozsef Kiss 1 &Ferenc Tóth 1 &Giovanni Burgio 6 &Xavier Pons 7 & Carlos Avilla 8 &Stefan Vidal 9 &Jaka Razinger 10 &Renata Bazok 11 &Ewa Matyjaszczyk 12 &Ivan Milosavljević 13 & Xuan Vi Le 14 &Wenwu Zhou 15 &Zeng-Rong Zhu 15 &Hagus Tarno 16 &Buyung Hadi 17 &Jonathan Lundgren 18 & Jean-Marc Bonmatin 19 &Maarten Bijleveld van Lexmond 20 &Alexandre Aebi 21 &Aunu Rauf 22 &Lorenzo Furlan 23 Received: 18 June 2019 /Accepted: 12 May 2020 #The Author(s) 2020 Abstract We present a synthetic review and expert consultation that assesses the actual risks posed by arthropod pests in four major crops, identifies targets for integrated pest management (IPM) in terms of cultivated land needing pest control and gauges the implementation “readiness”of non-chemical alternatives. Our assessment focuses on the world’s primary target pests for neonicotinoid-based management: western corn rootworm (WCR, Diabrotica virgifera virgifera) in maize; wireworms (Agriotes spp.) in maize and winter wheat; bird cherry-oat aphid (Rhopalosiphum padi) in winter wheat; brown planthopper (BPH, Nilaparvata lugens) in rice; cotton aphid (Aphis gossypii) and silver-leaf whitefly (SLW, Bemisia tabaci)incotton.First, we queried scientific literature databases and consulted experts from different countries in Europe, North America, and Asia about available IPM tools for each crop-pest system. Next, using an online survey, we quantitatively assessed the economic relevance of target pests by compiling country-level records of crop damage, yield impacts, extent of insecticide usage, and “readiness”status of various pest management alternatives (i.e., research, plot-scale validation, grower-uptake). Biological control received considerable scientific attention, while agronomic strategies (e.g., crop rotation), insurance schemes, decision support systems (DSS), and innovative pesticide application modes were listed as key alternatives. Our study identifies opportunities to advance applied research, IPM technology validation, and grower education to halt or drastically reduce our overreliance on systemic insecticides globally. Keywords Neonicotinoids .Soil pests .Aphids .Whitefly .Brown planthopper .Agricultural policy .IPM .Biological controlReview Article Introduction Neonicotinoid insecticides are extensively used against multiple herbivorous insects in annual crops across the globe (Furlan and Kreutzweiser 2015; Simon-Delso et al. 2015). Their in-field application is primarily preventative and unguided, thus conflicting with globally accepted principles of integrated pest management (IPM) (Furlan et al. 2017a; Kogan 1998; Pedigo and Rice 2014; Barzman et al. 2015). Scant information is available on the actual benefits of these products in terms of crop performance, economic yield or farm-level profit, and the few existing peer-reviewed studies demonstrate how yield benefits of, e.g., neonicotinoid seed coatings are routinely negligible (Bredeson and Lundgren 2015b; Furlan and Kreutzweiser 2015; Bredeson and Lundgren 2015a; Matyjaszczyk et al. 2015; Milosavljević et al. 2019; Furlan et al. 2018). Globally, efforts are being made to reduce farmer reliance on and overuse of chemical pesticides—including applied research, farm-level validation and communication of alternative pest management options (Horgan 2017). For example, in the European Union (EU), Commission Directive 2009/128/EC enables vigilance over Responsible editor: Philippe Garrigues Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11356-020-09279-x) contains supplementary material, which is available to authorized users. *Lorenzo Furlan [email protected] Extended author information available on the last page of the article https://doi.org/10.1007/s11356-020-09279-x / Published online: 4 June 2020 Environmental Science and Pollution Research (2020) 27:29867–29899 the sustainable use of chemically synthesized pesticides, secures a continuing reliance upon IPM, and provides the legal framework to pursue a lasting, far-reaching reduction in the prophylactic usage of systemic insecticides (Furlan et al. 2018). Despite this increased attention, global insecticide use has increased dramatically in recent decades and farmers in multiple countries now favor prophylactic pest management approaches over IPM (Horgan 2017). Worldwide, neonicotinoids are used to control a wide range of herbivorous insects in broad-acre crops, such as maize (globally cultivated on 171 M ha), wheat (220 M ha), rice (paddy; 162 M ha) and cotton (approximately 33 M ha). As the world’s most widely used insecticides, neonicotinoids currently represent 25% of the global insecticide market (Hladik et al. 2018). One of the key concerns regarding neonicotinoids is their routine, prophylactic use as “convenience”pesticides, i.e., seed coatings, stem dips or drench applications (Mourtzinis et al. 2019). While seed coatings indeed lessen the amount of overspray and drift, the products readily leach into the soil and water phase and are widely detected in the broader farming environment (i.e., surface waters, plant pollen, nectar, and other exudates) (Bonmatin et al. 2015; Alford and Krupke 2019). Furthermore, the consumption of active substance per hectare is several times higher for seed treatment than for (targeted) foliar applications (Matyjaszczyk 2017). Lastly, their “blanket”application at the time of planting (or crop seeding) interferes with the action of natural enemies and thus compromises natural, cost-free biological control (Seagraves and Lundgren 2012; Douglas and Tooker 2016). As such, neonicotinoid insecticides contribute to biodiversity loss, impact environmental health, and undermine ecological resilience of farmland ecosystems (Eng et al. 2019; Humann-Guilleminot et al. 2019a; Sánchez-Bayo and Wyckhuys 2019). Farmers’dependency on neonicotinoid insecticides is of global concern and has continued unabated in the United States (US) for over two decades (Jeschke et al. 2011; Simon-Delso et al. 2015; Douglas and Tooker 2015;Hladik et al. 2018). Following the first registration of imidacloprid in 1991, six other active ingredients were released on the US market (Bass et al. 2015). In the mid-2000s, active marketing of insecticide-coated seeds, mounting insecticide resistance issues, and public concern over high mammalian toxicity of older products led to a surge in neonicotinoid usage over extensive geographical areas, e.g., US Midwest (Meehan and Gratton 2016). By 2014, 1.16 million kg/year of thiametoxam was applied to US corn, soybean, wheat, and cotton (NAWQA 2014). At present, neonicotinoid seed coatings are used in virtually 100% of the conventional maize planted in the US and canola in Canada. Seed coatings are equally used in other crops (i.e., soybean, oilseed rape, cereals, rice, cotton, sunflower) in the USA and across the globe (Hladik et al. 2018; Douglas and Tooker 2015; Esser et al. 2015). In the EU, the first neonicotinoid (imidacloprid) was registered in the mid 1990s. Few years after neonicotinoids approval, bee health problems and other non-target impacts have surfaced (Pistorius et al. 2009, Doucet-Personeni et al. 2003; Henry et al. 2012; Whitehorn et al. 2012; Alix and Mercier 2009; Bortolotti et al. 2009; Burgio et al. 2012). Subsequently, in some EU member states, the use of particular active ingredients was suspended on certain crops in pollinator habitats, e.g., on sunflower and oilseed rape in France (Maxim and van der Sluijs 2013),or on maize in Italy (Bortolotti et al. 2009). In Italy, after this precautionary suspension, the number of bee mortality events linked to maize cultivation drastically declined while maize yield levels remained unchanged (Sgolastra et al. 2017). Yet, neonicotinoids were deemed to be “essential”components to EU farming, and their continentwide suspension was anticipated to cause unacceptable production losses and (socio-)economic upheaval (Noleppa and Hahn 2013). The ensuing debate juxtaposed these presumed (socio-)economic impacts against an increase in primary productivity and farm profitability related to reconstituted pollination and other biodiversity-based ecosystem services (Garibaldi et al. 2014), while scientific information did not report any benefits of neonicotinoids on crop yields (Seltenrich 2017), quality of harvested produce, or farmlevel profitability (LaCanne and Lundgren 2018). Parallel to the accumulating scientific evidence of their deleterious effects on human health (Seltenrich 2017) and biodiversity, including vertebrate and invertebrate wildlife (Chagnon et al. 2015;Pisaetal.2015; Gibbons et al. 2015; Humann- Guilleminot et al. 2019b;Pisaetal.2017; Sánchez-Bayo et al. 2016; Lundin et al. 2015;Tosietal.2017;Taliansky- Chamudis et al. 2017; Pecenka and Lundgren 2015;Douglas et al. 2015), there was a disclosure of scientific arguments and field observations (Blacquière et al. 2012; Carreck and Ratnieks 2014; Cresswell et al. 2012). From 2012 onward, the European Food Safety Authority (EFSA) suggested to suspend certain uses of active ingredients, and by March 2017, the European Commission had proposed a ban of all outdoor usage of three neonicotinoid pesticides (i.e., imidacloprid, clothianidin, and thiamethoxam). However, crops that are considered “non-attractive”to honeybees, e.g., cereals, sugar beet, occupy the largest surface of arable land in Europe (approx. 60%, Eurostat 2017), still receive considerable rates of neonicotinoid application (Simon-Delso et al. 2015), and current application schemes equally pose risk to non-target organisms, including natural enemies and pollinators (Calvo-Agudo et al. 2019). Certainly, as neonicotinoids affect all ecosystem components, a sole focus on (domesticated) honeybees is insufficient (Pisa et al. 2017). Multiple efforts have also been made in North-America to counteract the above trends: the United States Environmental Protection Agency (USEPA) recently re-evaluated the registration of neonicotinoids, especially in relation to pollinators 29868 Environ Sci Pollut Res (2020) 27:29867–29899 (USEPA 2014); the Government of Ontario (Canada) pursued an 80% cut in the use of neonicotinoid-treated maize and soybean seed by 2017 (Gov. of Ontario 2015). In 2011, imidacloprid was voluntarily withdrawn from use on beepollinated almonds in California, while other products are on the Pesticide Action Network (PAN) International’s list of highly hazardous pesticides (2010) for global phase-out, because of their toxicity to bees or potential role as carcinogens (i.e.,thiacloprid). In China, one of the world’s key suppliers of neonicotinoid insecticides, domestic use is considerable, especially in the country’s 30 million hectare rice crop (Shao et al. 2013). Presently, six types of neonicotinoid are registered for domestic use. Whereas imidacloprid, acetamiprid, nitenpyram, and thiacloprid are developed by companies outside China, paichongding and imidaclothiz are newly developed compounds with independent intellectual property rights. In maize (Zea mays (L.)), two key pests are targeted with neonicotinoids: (1) the western corn rootworm (WCR), Diabrotica virgifera ssp. virgifera LeConte (Coleoptera: Chrysomelidae) and (2) a complex of wireworm species (Agriotes spp. Coleoptera: Elateridae). For D. virgifera control, farmers typically apply granular soil insecticides or insecticide-coated seeds against the larvae and foliar insecticides against the adults (Ward et al. 2004). The combined cost of soil insecticides and aerial sprays, plus the yearly pestinflicted crop losses, approached US$1 billion annually in the 1980s (Metcalf 1986). Following its 1990s detection and spread in Europe, the damage potential of D. virgifera—in the absence of control—was estimated at 472 million Euro annually (Wesseler and Fall 2010). Wireworms (Agriotes brevis Candeze, A. sordidus Illiger, and A. ustulatus Schäller) are of primary concern in Central and Southern Europe, with underground larval feeding resulting in root damage in maize and other cereal crops (Furlan 1996,2004;Furlan2014; Furlan and Tóth 2007). At present, soil insecticides are the preferred mode of wireworm control, impeding a further deployment of IPM strategies (Furlan 2005;Furlanand Kreutzweiser 2015). The bird cherry-oat aphid Rhopalosiphum padi (Linnaeus) causes direct feeding damage on cereals, transmits plant pathogens (e.g., barley yellow dwarf virus) and interferes with photosynthesis through its extensive production of honeydew (Dedryver et al. 2010; Mann et al. 1997; Finlay and Luck 2011;Harringtonetal. 2007). Since the late 1980s, R. padi control has primarily been based on seed treatments and insecticide sprays, raising environmental concerns (Bredeson et al. 2015; Dedryver et al. 2010). In rice, the brown planthopper (BPH) Nilaparvata lugens (Stål) can cause up to 70% yield losses through direct feeding and virus transmission—with aggregate economic losses estimated at $20–100 million/year for India, Indonesia, Philippines, Japan and Taiwan (Heinrichs and Mochida 1984; Bateman 2016). Considered a “Green Revolution”pest, rice planthoppers first gained prominence in tropical Asia during the 1960s and 1970s when highyielding rice varieties were actively promoted together with synthetic pesticides (Bottrell and Schoenly 2012; Escalada and Heong 2004). Brown planthopper outbreaks are due to the insecticide-induced mortality of natural enemies and an ensuing loss of regulating ecosystem services (Horgan and Crisol 2013; Bottrell and Schoenly 2012; Horgan 2018; Spangenberg et al. 2015) plus the widespread development of brown planthopper resistance to insecticides, including neonicotinids (Zhang et al. 2016; Min et al. 2014;Basanth et al. 2013; Puinean et al. 2010;Hadietal.2015; Matsumura et al. 2008) and insecticide-induced hormesis in which insecticide treatments enhance brown planthopper survival, development and reproduction (Yin et al. 2014; Nanthakumar et al. 2012;Horgan2018; Zhu et al. 2004; Azzam et al. 2009; Azzam et al. 2011). Though brown planthopper-resistant rice varieties have been developed, widespread adaptation to resistance genes has compromised their effectiveness and insecticide applications thus remain the mainstay of Asian rice farmers (Spangenberg et al. 2015; Horgan 2018). In cotton, the cotton aphid, Aphis gossypii Glover and the silverleaf whitefly, Bemisia tabaci Gennadius inflict crop damage through direct feeding, virus vectoring and the extensive secretion of honeydew (Lu et al. 2012;Dedryveretal.2010). The heightened adoption of Bacillus thuringiensis (Bt) transgenic cotton—for lepidopteran pest control—has led to increases in sap-feeder populations such as B. tabaci or A. gossypii (Lu et al. 2012). Though genetically engineered crops are well-suited to support biological control (Romeis et al. 2018), the increased infestation pressure of these sap-feeders has instead triggered the use of systemic insecticides (Deguine et al. 2008). Furthermore, rapidly evolved resistance to neonicotinoids has been recorded, e.g., in Australia (Herron and Wilson 2011), West Africa (Houndété et al. 2010), and Asia (Koo et al. 2014;Matsuura and Nakamura 2014; Ahmad and Arif 2008) with a resulting intensification of pesticide use and accompanying harmful impacts on resident natural enemy communities (Gerling and Naranjo 1998; Naveed et al. 2008; Yao et al. 2015; Sohrabi et al. 2012). Aside from neonicotinoid insecticides, numerous management techniques have been investigated for the above crop × pest complexes; many with highly favorable environmental, human health, and socio-economic profiles. Nature-based innovations (e.g., biological control) can be deployed in openfield and protected cultivation, have proven advantages over insecticides (Bommarco et al. 2011; Naranjo et al. 2015; Shields et al. 2019) and favorable food safety profiles (Bale et al. 2008), yet are faced with globally lagging rates of grower adoption and deficient stakeholder awareness (Shields et al. 2019; van Lenteren 2012;Wyckhuysetal.2018;Wyckhuys et al. 2019c; Barratt et al. 2018). Other approaches such as pest 29869Environ Sci Pollut Res (2020) 27:29867–29899 insurance schemes (Quiggin et al. 1993; Miranda and Vedenov 2001), ecological engineering (e.g., (Gurr et al. 2016), pesticide taxes coupled with enhanced grower education (Praneetvatakul et al. 2013), regenerative farming (LaCanne and Lundgren 2018), customized decision-support tools, cultural control, and other IPM options have equally been examined. Many of these practices constitute part of an agricultural systems “redesign”—a necessary component for transformative change in the world’s agriculture sector, and a core component of sustainable intensification (Pretty et al. 2018). For certain technologies, considerable progress has been made on the research front, yet advances in (on-farm, participatory) technology validation, farmer extension or wide-ranging diffusion have been limited. Some technologies have been readily adopted, validated, and adapted by individual growers or (small- to mid-size) farmer nuclei in certain countries, and these successes now wait to be communicated, up-scaled and transferred to other areas (Westphal et al. 2015; Gurr et al. 2016). The present paper is the continuation of the Worldwide Integrated Assessment (WIA) on systemic insecticides published in 2015 which included alternative aspects (Furlan and Kreutzweiser 2015), and then of the WIA update published in 2018 which also included a chapter on alternatives (Furlan et al. 2018). Here, we provide a systematic assessment of alternatives to neonicotinoids for the management of key arthropod pests in four arable crops of global relevance (i.e., maize, cotton, rice, and winter wheat). More specifically, we draw upon (i) a review of scientific literature, (ii) an expert consultation involving 16 scientists and crop protection professionals from multiple countries on a crop-specific and geographically explicit “readiness”assessment of pest management alternatives, and (iii) a risk assessment of pest outbreaks, as conducted through online survey tools. Our systematic assessment of the state of development (i.e., research, plot-scale validation, grower-uptake) for a select set of technologies constitutes a valuable resource for scientists, pest management professionals, extension officers, agro-enterprises, and individual farmers. Our work also informs policy dialogue and can create global traction for the “redesign”of farming systems founded upon agro-ecology, ecologically centered IPM, and arthropod biological control. Materials and methods Literature review Two scientific literature databases (i.e., Springerlink and Sciencedirect) were queried using keyword combinations specific to the different crop × pest systems: “Diabrotica AND control AND maize”and “Agriotes AND control AND maize,”etc. Searches were limited to articles published in English from January 1999 until March 2017. All publication abstracts were screened, and literature references were selected based on their relevance for crop protection in the seven target crop × pest systems, i.e., Diabrotica × corn, Nilaparvata × rice, Agriotes × maize, Agriotes × wheat, Rhopalosiphum padi ×wheat,Aphis gossypii × cotton, Bemisia tabaci ×cotton. Our initial dataset was composed of 266 relevant literature references, of which 216 covered technologies that were deemed to be effective—as expressed by the papers’authors. A particular pest management technology was considered effective if a statistically significant level of control of the target pest was reported. In case one single scientific study comprised multiple effective (and non-effective) tools, these were listed as separate lines in the dataset. From the collated set of references, we extracted those that specifically addressed the evaluation of non-chemical crop protection alternatives, and organized these into six main categories depending upon the primary type of pest management tactic: (1) biological control, (2) cultural (e.g., sanitation, crop rotation, nutrition or water management) or mechanical control, (3) innovative pesticides and application regimes (e.g. attractants, reduced product doses, anti-resistance strategies), (4) host plant resistance, (5) decision-support tools (e.g., monitoring schemes, predictive models, early-warning systems), and (6) other tools such as farming systems adaptations, multi-faceted IPM packages, and others. As the same technology was regularly covered in multiple articles, we consolidated literature records for the expert evaluation: a total of 17 different tools for western corn rootworm, 26 for bird cherry-oat aphid, 25 for wireworms, and 23 for brown planthopper were included in the questionnaire and evaluated by experts. Furthermore, for studies that were exclusively based on field data, we mapped the availability of different technologies within particular geographical areas. Overall, Africa was underrepresented in the dataset. Expert evaluation of the alternative tools Literature references were compiled and tabulated per crop × pest system, and subsequently shared by email with expert scientists and pest management professionals for further commenting and updating. Experts could rank the “readiness” of each management alternative using the following criteria: RESEARCH = at research stage; READY = available for immediate implementation, though not yet adopted by local growers; PRACTICED = adopted and used by (nuclei of) growers in a particular country or region. Furthermore, experts were requested to indicate their perceived importance of two potential “roadblocks”or constraints to broader technology diffusion and uptake, i.e., ENVI = technology is considered ineffective under local environmental conditions; ECONOM = current technology is deemed to be too expensive or not economically viable, thus limiting wider adoption. 29870 Environ Sci Pollut Res (2020) 27:29867–29899 Online survey for pest risk assessment An online survey was made available through a dedicated cloud-based platform (i.e., SurveyMonkey) and shared with the above mentioned global experts. Through this survey tool, experts were able to rank the perceived importance of a given insectherbivore (in a particular crop) and share information on its infestation pressure as related to (locally established) economic thresholds, or other metrics reflective of its economic relevance. Also, through the online survey, data were gathered on the relative extent of neonicotinoid use (i.e., % growers, treated area) and pest management alternatives. For either evaluation method, feedback was obtained from a total of 16 scientific experts and crop protection professionals, from China, Croatia, Germany, Hungary, Indonesia, Italy, Philippines, Poland, Slovenia, Spain, USA, and Vietnam. Experts provided additional papers, non-peer- reviewed documents and reports, and other information to update our database of pest management alternatives. As no feedback was received for cotton pests, no assessments could be carried out for A. gossypii and B. tabaci,socottonwas excluded from the further evaluation. No responses were received from scientists in Africa, Latin America and the Caribbean, or in Central Asia. Given that the collected data are descriptive, results were tabulated to provide a full overview of the evaluated alternatives. Results from the expert evaluation (average number of tools ranked per category) were visualized using polar bars, while the geographical coverage of field-tested alternatives is shown in maps. Lastly, bar charts show the results of the pest risk assessment—as obtained through the online survey. Results Literature review and expert evaluation of alternative tools Most literature references were found for B. tabaci, while the lowest number of references was recorded for A. gossypii and D. virgifera (Table 1). Biological control featured prominently as management alternative for all crop × pest systems, ranging from few effective technologies for N. lugens to more than half of the alternative management tools for B. tabaci (Table 1). Only half of the effective management tools were based on field data, most of which were from Europe for wireworms in maize and winter wheat, from Asia on N. lugens in rice, and from Asia and North-America on B. tabaci in cotton. In the following sections, we describe findings for the most effective management alternatives. Approximately half of the tools were only reported to be at a research stage. Biological control was extensively documented in literature records, yet the majority of those were evaluated to be only at a research stage. The highest percent of tools in practice were found for bird cherry-oat aphid control, and primarily included CBC (Conservation Biological Control) through landscape and habitat-level management (Fig. 1). For brown plant hopper control in rice, mostly cultural and mechanical control technologies were put in practice by growers, however only in a geographically limited area (i.e., parts of Vietnam and Indonesia). For wireworm control, cultivation practices and DSS were most practiced. Western corn rootworm control was built around three main pillars: DSS, host plant resistance and cultural practices (i.e., crop rotation). The online survey further revealed low perceived risk of western corn rootworm in maize, aphids in winter wheat and wireworms in maize and in winter wheat (Fig. 2), thus creating room for field-level evaluation and grower adoption of non-chemical alternatives (Fig. 3). For western corn rootworm and wireworms, several countries reported 75– 100% adoption levels of neonicotinoids in their respective maize and wheat crops (Fig. 3). Though brown planthopper poses low to intermediate risks in rice (i.e., 25–50%), rice fields are routinely treated with neonicotinoids (Figs. 2and 3). Below we discuss the main alternatives to neonicotinoids in further detail. Biological control For bird cherry-oat aphid control in winter wheat, nine different CBC tools were reportedly practiced in Italy, Hungary, Spain and USA (Tables 2and 3). In winter wheat, aphid biological control was primarily at the research stage, and few countries mentioned economic or environmental roadblocks for subsequent grower adoption. For wireworm control in maize and winter wheat, biological control is primarily at the research stage and only two technologies—using entomopathogenic fungi—are being practiced in Germany and the USA (Tables 5and 6). Most countries reported the existence of environmental and economic roadblocks for the field-level use of biopesticides and nematodes, while landscape and habitat management tools were considered “ready for implementation”in Slovenia and Hungary. Few countries indicated studies at research stage, and only nematodes might be ready for use in Germany. For western corn rootworm management in maize, no biological control technologies are being implemented yet—possibly due to locally perceived economic and environmental barriers, or technology related issues (Table 7). For brown planthopper control, several biological control tools have been described in the literature. Yet, only one landscape management tool was practiced in Indonesia, most options are ready for implementation in Vietnam, and remain at the research stage in Papua New Guinea (Table 8). CBC— particularly the use of flower strips to enhance in-field populations of parasitoids—has been implemented in southern Vietnam, and has been extensively researched at experimental stations in Thailand, China and the Philippines and in farmers’ 29871Environ Sci Pollut Res (2020) 27:29867–29899 fields in China. In Vietnam, its farm-level adoption may potentially accelerate. Under field conditions, micro-organisms and biopesticides are perceived to have more potential for use than macroorganisms because they are easier to store and transport, and can be bulked up under laboratory conditions. Nematodes have been used to control soil pests such as WCR in maize under laboratory and field conditions (Kurtz et al. 2008; Toepfer et al. 2010) and wireworms under laboratory conditions (Ansari et al. 2009). In arable crops, the following species of entomopathogenic fungi have been tested: Beauveria bassiana, Metarhizium spp. and Lecanicillium lecanii (Verticillium)(Kabaluk2014;KimandKim2008; Ritter and Richter 2013; Ansari et al. 2009). Fungal applications may be combined with augmentative releases of predators (i.e. Orius laevigatus (Down et al. 2009)) or parasitoids (Lazreg et al. 2009), and several of these organisms can contribute significantly to B. tabaci control (Antony et al. 2004; Bellamy et al. 2004;Hoelmer2007; Viscarret and López 2004; Yang and Wan 2011). Certain plant-produced compounds can prolong the shelflife of beneficial entomopathogenic nematodes in Diabrotica Table 1 Overview of the availability of effective pest management alternatives (number of paper published), as organized foreachofthemaincrop×pest complexes based on the literature review; SLW silverleaf white fly, WCR western corn rootworm, BPH brown planthopper Categories Geographic distribution based on the location of the experiments in the papers Crop and pest Cotton Maize Maize, wheat Rice Wheat Total Aphid SLW WCR Wireworms BPH Aphid Biological control (effective 91/total 116) Asia 3 6 3 1 13 Australia 1 1 Europe 2 10 8 20 North America and Europe 11 North America 2 5 2 1 10 South America 4 4 Non field data 6 17 7 1 7 4 42 Cultural or mechanical control (effective 29/total 35) Asia 1 2 5 2 10 Europe 4 2 6 North-America 2 1 3 Non field data 4 1 3 2 10 DSS (effective 29/32 total) Africa 1 1 Asia 2 2 Australia 1 1 Europe 10 2 12 South America 1 1 Non field data 2 1 3 1 5 12 Innov. pestic. and appl. reg. (effective 28/30 total) Asia 3 1 1 5 Europe 1 1 2 North America 3 1 1 5 North America, Asia 1 1 Non field data 2 1 4 2 4 2 15 Other (effective 14/17 total) Asia 1 3 4 Europe 1 1 2 4 North-America 1 2 3 Non field data 1 1 1 3 Host plant resistance (effective 25/36 total) Asia 1 1 1 3 Australia 1 1 Europe 2 1 3 North-America 1 1 Non field data 3 4 6 4 17 Sum 21 54 28 41 36 38 216 29872 Environ Sci Pollut Res (2020) 27:29867–29899 management (Jaffuel et al. 2015). Other compounds have repellent or insecticidal effects, and their extracts can be used as biopesticides. Several biopesticides are also fully compatible with natural biological control, e.g., extracts of Ruta chalepensis,Peganum harmala and Alkanna strigosa inflict levels of B. tabaci mortality similar to imidacloprid without negatively affecting its parasitoid Eretmocerus mundus (Al- Mazra’awi et al. 2009). Naturally occurring arthropod predators and parasitoids play a central role in regulating pest populations in arable crops, and their active in-field conservation can constitute a desirable, cost-effective means of pest control (e.g., (Landis et al. 2000, Naranjo et al. 2015, Shields et al. 2019, Veres et al. 2013). Predaceous spiders consume large numbers of aphids and B. tabaci (Choate and Lundgren 2015; Kuusk et al. 2008) and conservation measures can lower pest population numbers, associated feeding damage and pest-inflicted yield losses—especially in systems where there is little concern about insect-mediated virus transmission (Naranjo 2001). CBC schemes involve a deliberate suspension (or drastic reduction) of pesticide applications, and the deployment or preservation of in-field shelters, nectar, alternative prey/host items, Fig. 1 Implementation “readiness”of management alternatives for BPH (brown plant hopper, Nilaparvata lugens) in rice, bird cherry-oat aphid (Rhopalosiphum padi) in winter wheat, WCR (western corn rootworm Diabrotica virgifera virgifera) in maize, and wireworms (Agriotes spp.) in maize and winter wheat. Relative size of a given section (or arm) within the 4 star-plots reflects the number of literature records covering a particular IPM technology and their respective “readiness”status (i.e., “under research,”“ready,”or “practiced”) 29873Environ Sci Pollut Res (2020) 27:29867–29899 and pollen to support resident natural enemy communities (socalled SNAP; (Gurr et al. 2017)). Many of these interventions can be laborious and involve added costs, but the returns on investment can be high and should appeal to growers (Naranjo et al. 2015). Ample CBC research has been conducted for several of the target pests, and this increased research attention is warranted. The spatio-temporal availability of certain crop and non-crop habitats can impact field populations of pests and improve their associated natural enemies (Veres et al. 2012; Burgio et al. 2006), although landscape-level impacts can be inconsistent and sometimes difficult to predict (Karp et al. 2018). Hence, interventions have to be carefully chosen and science based to enhance (or sustain) natural enemy populations while counteracting pest attack. For example, certain host plants that are beneficial for natural enemies—e.g., ragweed for B. tabaci—can also serve as alternative hosts that favor pest immigration (Naveed et al. 2007; Zhang et al. 2014). The manipulation of rhizosphere interactions and associated plant defenses can be a lucrative option to further enhance CBC, specifically against soil-dwelling pests (such as wireworms). The stimulation of plant defenses, e.g., by integrating plant mutualists into the standing crop (i.e., beneficial microbes, fungi or entomopathogenic nematodes), by directly manipulating soil organic matter, edaphic fauna and soil fertility or by—indirectly—altering crop rotation sequences can provide important feedback mechanisms that boost pest control or enhance natural enemy abundance (Johnsonet al. 2016; Wyckhuys et al. 2017). Resistance priming—through silicon amendments, or EPNs—also offers opportunities for management of sap-feeding pests such as BPH and B. tabaci (An et al. 2016;Yangetal.2017). CBC can equally involve the promotion of entomophthoralean fungi, i.e. by enhancing fungal infection of R. padi through feeding on its winter host bird cherry (Nielsen and Steenberg 2004)aswellasendophytic entomopathogens on A. gossypii (Gurulingappa et al. 2010). Besides invertebrates, vertebrates can assume an important role in the biological control of several of the target pests. Frogs, fish and ducks can consume large numbers of rice pests, including planthoppers (Khatiwada et al. 2016; Zou et al. 2017; Sheng-miao et al. 2004); for WCR and wireworms, birds act as key predators and can suppress field populations (Bollinger and Caslick 1985; Sheng-miao et al. 2004) and rodents possibly engage in larval predation (Tschumi et al. 2018). A phase-out of neonicotinoid use is key to safeguard and fully exploit these vertebrate-mediated pest control services (e.g., (Humann-Guilleminot et al. 2019b). For example, Gurr et al. (2016) have indicated that pest suppression in ecologically engineered rice fields in China was greatest where farmers suspended the use of chemical insecticides. Different trophic levels can also play a role, with aphid suppression related to Collembola-mediated changes in nitrogen resource allocation and wheat crop growth (Schütz et al. 2008). CBC carries ample potential in the management of target pests in our four focal arable crops. However, the success of CBC will be related to the effective communication to growers of ecological concepts and encouragement of adoption through participatory research or because of recognized economic advantages from crop diversification (e.g., producing sesame on rice bunds). Such features have encouraged the rapid adoption of ecological engineering for planthopper management in Asia (Westphal et al. 2015;Gurretal.2016; Horgan et al. 2016). However, for many crop × pest systems, Fig. 3 Number of countries indicating varying share (%) of fields in which either of the 4 target herbivores could be effectively managed with (non-chemical) IPM alternatives, as drawn from the online survey with 16 experts. BPH = brown planthopper, WCR = western corn rootworm, WA = bird cherry-oat aphid, WW = wireworm Fig. 2 Number of countries with varying share of “high-risk”fields and of neonicotinoid-treated fields for each of the 4 target herbivores, as based on the online survey involving 16 experts. BPH = brown planthopper (foliar and seed treatment), WCR = western corn rootworm (soil insecticide), WA = bird cherry-oat aphid (foliar and seed treatment), WW = wireworm (soil insecticide) 29874 Environ Sci Pollut Res (2020) 27:29867–29899 comprehensive evaluations of natural enemy impacts on pest populations have not been carried out and key information is thus absent to guide the development of habitat manipulation schemes. The scientifically guided introduction of specialist natural enemies for control of invasive pests is a powerful and selfpropelling method of biological control (Wyckhuys et al. 2019b) that carries potential for the management of several target pests. For A. gossypii, introductions have been made of several natural enemies—including aphidiine and aphelinid wasps, and syrphid flies—in the Pacific islands (Waterhouse 1998). Opportunities may also exist to employ non-native natural enemies for the control of WCR in its invaded range in Europe (Kuhlmann and van der Burgt 1998; Toepfer et al. 2009). Cultural or mechanical control Crop husbandry or cultural practices such as crop rotation, or adapted fertilisation and water management, have received ample attention for the control of silverleaf whitefly in cotton, wireworms in maize and winter wheat, and brown planthopper in rice (Table 1). Experts signaled that various cultural practices are used against brown planthopper, western corn rootworm, and wireworm in the above crops (Fig. 1). For wireworm, crop rotation measures are either “in practice”or “ready for implementation”in all countries, except for USA (Table 5). Soil fertility management was in practice—with certain environmental constraints—in Germany, and ready to use in Italy. Tillage is commonly practiced in Hungary and in Spain, and ready for implementation in Slovenia, while Table 2 Technology “readiness”of pest management alternatives for bird-cherry oat aphid (Rhopalosiphum padi) in winter wheat, and locally perceived obstacles for their further farmer-uptake and diffusion (based on the expert consultation) - first part Categories Subcategories IPM alternatives identified Evaluation criteriaa Roadblocks b RESEAR READY PRACTIC ENVI ECON Biological control Biopesticides Phenolic acid extracts from leaves of black currant (Ribes nigrum L.), sour cherry (Prunus cerasus L.) and walnut (Juglans regia L.), and from the green husks of walnut have insecticidal effect (Chrzanowski et al. 2012) HU Biopesticides Garlic oil blend can be used for aphid control (Zhou et al. 2013) IT HU Systemic defense priming DIMBOA increases aphid susceptibility to electrophilic agents and insecticides (Mukanganyama et al. 2003) HU CBC, predators Diverse arthropod predator community, including Pardosa and Enoplognatha spiders, reduces aphids to low densities (Kuusk et al. 2008, Opatovsky et al. 2012) HU,US ES,IT CBC, parasitoids Leguminose flower strips allow (non-pest) aphid species to build up, thus increasing parasitoid populations and enhancing in-field biological control (Langer and Hance 2004) HU,ES, SI,US IT ES CBC, predators and parasitoids Both foliage- and ground-foraging natural enemies reduced aphid numbers by 90-93%, whereas ground-foraging predators alone achieved a 18-40% reduction (depending upon width of field margin) (Holland et al. 2008) HU,US IT CBC, fungi Insect-killing fungi infect aphids on its winter host bird cherry (Nielsen and Steenberg 2004) HU IT ES CBC Soil-inhabiting decomposer communities (incl. Collembola) benefit wheat growth and slow aphid reproduction (Schütz, Bonkowski, and Scheu 2008) HU ES Landscape effect Lower aphid numbers under organic farming schemes (at the time of wheat flowering). Complex landscapes provided more overwintering sites, alternative hosts, and nectar sources and boosted parasitism levels (Roschewitz et al. 2005) ES, US HU IT US Landscape effect Complex landscapes had 46% higher rates of pest control than simplified ones (i.e., dominated by cultivated land) (Rusch et al. 2016) US HU IT SI a PRACT = is widely used in the country; RESEAR = at research state only; READY=IPM alternative available for immediate implementation; b frequently listed roadblocks, preventing technology diffusion: ENVI = it would not be effective under the environmental conditions of the country; ECON = deemed too expensive—so it is not widely adopted; ES (Spain), IT (Italy), SI (Slovenia),HU (Hungary), US (United States), DE (Germany), HR (Croatia) 29875Environ Sci Pollut Res (2020) 27:29867–29899 For wireworms, a range of abiotic factors (e.g., altitude, precipitation, temperature, pH, organic matter content) can be incorporated as predictive variables (Jung et al. 2014; Staudacher et al. 2013; Hermann et al. 2013; Furlan et al. 2017a,2017b). For aphid pests, abiotic factors, presence, and abundance of natural enemies and aphid identification modules are built into DSS models such as GETLAUS, CEAS, and APHIDSim (Gosselke et al. 2001; Piyaratne et al. 2013; Rossing et al. 1994; Gonzalez-Andujar et al. 1993;KwonandKim2017). Aside from theoretical models (Wu et al. 2014; Fabre et al. 2010;Maetal.2001;Xianetal. 2007; Giarola et al. 2006), spatially explicit models can account for landscape composition and configuration, or for other factors such as wind speed and wind direction (Parry et al. 2006). Thresholds have been defined for wireworms (Furlan 2014), brown planthopper (Zheng et al. 2007) and for different cotton pests, including A. gossypii (Silvieetal. 2013; Sequeira and Naranjo 2008). Data input for DSS are regularly collected through field-level monitoring: WCR and wireworms can be monitored using sticky traps, pheromone traps or bait traps (Sufyan et al. 2011;Vutsetal.2014; Benefer et al. 2012;Parker1994,1996; van Herk and Vernon 2013;Tóthetal.2002;Tóthetal.2007;Vutsetal. 2012; Tóth 2013;Tóthetal.2015; Furlan et al. 2017a,2017b; Bažok et al. 2011; Kos et al. 2014). In Northern Italy (Emilia- Romagna region) a monitoring net for two wireworm species has been employed in 2017 and 2018 using about 1100 pheromone traps per year, providing provisional threshold to alert farmers on infestation risk. For other pests, yellow pan trapping, sweep-net sampling or other kind of population assessments can be used. IPM approach Although the principles of IPM are universally applicable, certain environmental and socio-economic factors can hamper IPM adoption (Vasileiadis et al. 2011). IPM entails the exhaustive use of non-insecticidal approaches (i.e., cultural, mechanical, phytosanitary practices) to prevent herbivores from reaching damaging population densities, draws on biological control as both a preventative and curative tactic, pursues the integrated use of mutually compatible technologies, and treats synthetic pesticides as a measure of “last resort”(Pedigo 1989). Prophylactic applications of systemic insecticides— e.g., as seed dressings or dips at the onset of the cropping season—are in direct conflict with this IPM concept, and have no room in IPM-managed systems. For bird cherry-oat aphid, the following measures do fit under the IPM umbrella: Table 9 Technology “readiness”of pest management alternatives for brown planthopper (Nilaparvata lugens) in rice, and locally perceived obstacles for their further farmer-uptake and diffusion (based on the expert consultation) - second part Categories Subcategories IPM alternatives identified Evaluation criteriaa Roadblocks b RESEARCH READY PRACICEDT ENVI ECON DSS Threshold Thresholds for BPH should be corrected for pest levels of the rice leaffolder (Cnaphalocrocis medinalis) (Zheng et al. 2007) VN2 PG, V- N3 Model BPH occurrence system is a chaotic system and predictable time-scale of 79-175 days (Ma, Ding, and Cheng 2001) PG, VN4 VN3 Model ENSO (El Nino/Southern Oscillation) model indices can be indicative of early-season BPH immigration (Xian et al. 2007) PG VN3 Innov. pestic. and appl. reg. Innovative insecticide Validamycin plays a regulatory role in BPH chitin synthesis, thus interfering with the molting process from larvae to adult (Tang et al. 2017)—note field level use of antibiotics raise environmental issues VN1, PG Innovative insecticide Feeding of dsRNAs of overexpressed nuclear receptor (NR) genes caused significant nymph mortality (Xu et al. 2017) PG Host plant resistance Res. var. Several wild rice species have proven resistance to BPH PG, VN3 Res. Var. Six rice varieties from South Asia were consistently resistant to BPH, but many varieties with known resistance genes had only weak resistance due to planthopper adaptation (Horgan et al. 2015) VN1, VN3 PG, VN4 VN4, ID Res. var. Varieties have been developed using marker-assisted selection to pyramid genes for resistance to rice blast, bacterial blight (BB), and BPH (Ji et al. 2016, Korinsak et al. 2016) PG a PRACTICED = is widely used in the country; RESEARCH = at research state only; READY=IPM alternative available for immediate implementation; b frequently listed roadblocks, preventing technology diffusion: ENVI = it would not be effective under the environmental conditions of the country; ECON = deemed too expensive—so it is not widely adopted; ID (Indonesia), PG (Papua New Guinea), VN1, VN2,-VN3, VN4 (Vietnam) 29882 Environ Sci Pollut Res (2020) 27:29867–29899 biological control, targeted chemical control—preferably with compatible products—as guided by decision rules and threshold levels, plant resistance and certain farming practices such as delayed sawing or nutrition management (Dedryver et al. 2010). For A. gossypii, mandatory dates for planting and harvest, post-harvest sanitation, and establishment of host-free periods along with—minimal—tactical use of insecticides can aid the recovery of cotton agro-ecosystems and concurrently lower pest pressure (Ellsworth and Martinez-Carrillo 2001;Naranjo2001). Also, the establishment of groundcover, intercropping or trap crops help conserve resident natural enemy communities and prevent build-up of pest populations (Deguine et al. 2008). For B. tabaci, the IPM “pyramid”is composed of three main components: regular pest sampling, preventative measures, and a minimal, scientifically guided use of insecticides—prioritizing compatible insect growth regulators, IGRs (Ellsworth and Martinez-Carrillo 2001). Though genetically engineered crops are compatible with biological control (Romeis et al. 2018), large-scale, genetically uniform plantings of GM cotton can disproportionately favor whitefly pests. In those systems, measures can still be adopted to conserve arthropod natural enemies (Deguine et al. 2008). For aphid control, integrated weed and insect management strategies can reduce application costs without sacrificing the efficacy of either strategy, though full advantage needs to be taken of non-chemical measures (Ma et al. 2016). In rice systems, non-chemical technologies are well-advanced for insect pest management (Hong-xing et al. 2017). For rice brown planthopper, in addition to host plant resistance, adequate nutrient or irrigation management and conservation biological control (e.g.,(Gurr et al. 2016, Hemerik et al. 2018), particular fungicides interfere with pest development and can be included in IPM packages (Nanthakumar et al. 2012; Shentu et al. 2016). For each of the above pests, IPM packages are at different stages of development—ranging from scientific evaluation, farm-level validation and adaptation, to grower adoption. In Europe, complete and economically viable IPM packages are available for the management of wireworms and western corn rootworm in maize. Risk assessment and IPM “readiness”for selected crop ×pestsystems Overall, pest risk levels were rated low to medium (i.e., brown planthopper) for all target pests, independent of the use of neonicotinoids (Fig. 2). Soil/seed treatments and foliar use of neonicotinoids varied among crop × pest systems and regions (Fig. 2), with nearly 100% of rice fieldsroutinely treated against brown planthopper. Even so, 25–75% of those fields could be managed with alternative tools. Extent of field application with neonicotinoids was lowest for winter wheat (i.e., to control R. padi), and this likely can be entirely replaced with alternative tools (Fig. 3). In the following section, results from the expert evaluation and associated risk assessment are presented according to pest species. Bird cherry-oat aphid in winter wheat Overall, pest status—and economic importance—of R. padi in European winter wheat is low to very low (0–25%) (Table 10, Fig. 2), largely because of a complex of effective resident natural enemies that colonize fields at the onset of the cropping season. In Slovenia, pyrethroid applications against the cereal leaf beetle Oulema melanopus (L.) can indirectly control R. padi. The pest is of local concern in certain areas, where foliar sprays are used for its control. In none of the European countries, experts voiced a need to use neonicotinoids as either seed or foliar applications (Table 10, Fig. 2). Yet, the current extent of reliance upon these products varied greatly between countries. In Spain, growers tend to resort to neonicotinoids to prevent barley yellow dwarf virus (BYDV) infection, though this is not regularly warranted: most Spanish farmers alter the sowing date to reduce aphid infestation and thus minimize the risk of virus attack. In Italy, 50-75% of fields rely upon CBC, and aphid infestations on organic farms are significantly lower than in those practicing IPM. In Slovenia, 25–50% of fields are managed through alternative tools—including those that rely upon IPM to manage O. melanopus. On the other hand, in the Western USA, 25–50% of wheat fields are planted with neonicotinoid-coated seeds, though the economic rationale for this high level of usage may be entirely lacking. Overall, biological control (including CBC), landscape-level management, farming systems adaptation (i.e., crop rotation, cultural practices), DSS, host plant resistance, and innovative pesticide application are available R. padi management tactics yet are not widely known or exist solely at the research stage. Most alternatives are either practiced or ready for implementation in Italy, Hungary, and Spain: CBC and landscape-level interventions are in practice in Italy and Spain. Locally, diverse and abundant arthropod natural enemies and entomopathogenic fungi exist in or near wheat fields and contribute to aphid biological control. In the Carpathian Basin, farmers recognize that an optimized plant density and nitrogen supply are cost-effective measures for R. padi control. Also, intercropping with oilseed rape, garlic or less susceptible varieties are interesting alternatives that are ready for implementation. In the Western USA, growers do alter sowing dates, while nutrition management tactics are still at the research stage. DSS such as the Cereal Aphid Expert System (CAES) are practiced in Italy and ready for deployment in Spain. Lastly, organic farming and full-fledged IPM packages are practiced in Italy and Slovenia. None of the experts evaluated bird cherry-oat aphid as a high-risk pest (Table 10,Fig.2), possibly due to the low degree of usage of non-selective insecticides, an enhanced adoption of field-level diversification tactics, and a resulting 29883Environ Sci Pollut Res (2020) 27:29867–29899 increased impact of locally occurring natural enemies. In Europe, CBC can be the primary alternative to neonicotinoids, while nutrition management, host plant resistance and DSS carry ample potential for further development, fine-tuning, and promotion (Gosselke et al. 2001; Gonzalez-Andujar et al. 1993; Day et al. 2015). In the USA, R. padi was equally Table 10 Actual use and potential reduction of neonicotinoids in arable crops and major alternative tools in practice (based on the expert consultation) Combination COUNTRY REGION IPM High pest risk (% of crop land) ACTUAL USE (% of crop land) TARGET (% treated cultivated land) IPM tools in practice Maize/soil pests Italy North a < 5% Crop rotation, monitoring, agronomic strategies such as tillage prior to sowing, attract and kill, biocidal plants, pheromone traps, DSS Italy Rest of Italy a0–25% < 5% Hungary a 0–25% 0–25% 5% Poland a 0–25% 0–25% 0% Croatia a 0–25% 0–25% 25% Slovenia a 25–50% 50–75% 25% Germany a 0–25% 0–25% 0% Spain a 0–25% 75–100% 10% USA Western US a0–25% 75–100% < 25% USA IOWA, Indian- a a75–100% < 5% Winter wheat/soil pests. Italy North a 0–25% 0–25% 0% Crop rotation, monitoring, agronomic strategies such as tillage prior to sowing, attract and kill, biocidal plants, pheromone traps, DSS Italy Rest of Italy a0–25% 0–25% 0% Hungary a 0–25% 0–25% 0% Croatia a 0–25% 0–25% 0% Slovenia a 0–25% 0–25% 0% Spain a 0–25% 0–25% 0% Germany a 0–25% 0–25% 0% USA Western US a50–75% 75–100% 0% USA IOWA, Indian- a b0–25% < 5% Winter wheat/- aphid Hungary a 0–25% 0–25% 0% Conservation biological control, landscape management, nutrition management, plant density and sowing date, DSS Croatia a 0–25% 0–25% 0% Italy a 0–25% 0–25% 0% Slovenia a 0–25% 0–25% 25% Spain a 0–25% 0–25% 0% USA Western US a0–25% 25–50% 0% Rice/plant hopper Vietnam North bc 25–50% 50–75% 25–50% water management, nutrition management, resistant varieties, 3 reductions program, 5 reductions program Vietnam South ac 0–25% 0–25% 0% Vietnam South (Mekong Delta) bc 25–50% 75–100% 25–50% China c 25–50% 75–100% 25–50% Philippines c 25–50% 25–50% (a) Ready—immediate implementation; (b) to be adapted; (c) to be set up 29884 Environ Sci Pollut Res (2020) 27:29867–29899 perceived to be a low-risk pest, yet 25–50% of current winter wheat acreage is annually sown with neonicotinoid-coated seeds. For a low-risk pest, such high levels of neonicotinoid use seem unwarranted. Wireworm in maize and winter wheat Wireworms were historically regarded as limiting pests of several cultivated crops in Europe. However, our expert assessment reveals that the perceived risk of wireworms is generally low, except for Croatia (25–50%) and the western USA (25–50%). A long-term risk assessment is available for wireworm in Europe. Furlan et al. (2017a) showed how certain parameters (e.g. grassland in rotation or in the vicinity of the field) greatly increase the risk of crop damage from wireworms in maize. The probability of economic damage was less than 4% (as studied over a 29-year period) in Italy, and these patterns equally hold for other EU countries. Overall, plant damage was low or even negligible inmostcases (> 90% had less than 5% wireworm plant damage). In (few) cases with > 15% plant damage, maize yield did not differ between untreated plots and those were soil insecticide was used. The decision to treat crops with soil insecticides (including neonicotinoid seed coating) is based exclusively on wireworm risk assessment, considering that no chemical treatments at maize sowing are needed to control black cutworm, western corn rootworm, and other minor soil pests (Kaster and Showers 1984; Furlan and Kreutzweiser 2015). Some local exceptions may occur to address e.g. Tanymecus dilaticollis Gyll. damage in some areas of Romania (Saringer and Takács 1994); thus local adaptations of IPM strategies need to be considered. Even in areas where wireworms are ranked as a key pest, their impact on crop yields tends to be low and possibly of minor economic importance (Table 10,Fig.2), except for Pennsylvania (USA), where wireworm damage— though often confined to certain areas of a field—can cause stand losses up to 75–80%. Wireworm damage is patchily distributed, usually remains undetected and infrequently exceeds 15% of a standing crop. It can besevere in some cases— reaching high infestation levels. In Europe, nosoil insecticides are used in winter wheat and no significant wireworm damage is recorded, though maize fields are regularly treated with soil insecticides, including neonicotinoids (Table 10, Fig. 2). In the Western USA however, virtually 100% of maize and wheat fields are treated with neonicotinoid soil-insecticides. As resident wireworm populations are likely to be of minor economicimportance, there is ample room for implementation of non-chemical alternatives (Table 10, Fig. 2). For example, incorporating barley and oats into crop rotations can reduce wireworm attack (Milosavljevićet al. 2019). In the US Midwest, near-universal applications of soil insecticides are directed against western corn rootworm, while negligible wireworm damage is recorded in untreated plots. In Europe, wireworm management differs greatly between countries and production areas. In Slovenia, 40–65% of maize growers use soil insecticides or seed treatments, and similar patterns are reported for Italy. Although no specific measures are used against wireworms, crop rotation, tillage, non-neonicotinoid insecticides and the planting of biocidal plants are widely practiced by local growers. Slovenian livestock producers are affected by wireworms when including meadows in rotation schemes and regularly revert to neonicotinoids. Yet, most producers do not conduct pest monitoring, and thus remain uniformed whether local wireworm populations exceed economic thresholds and cause economically significant losses. In Spain, insecticidal soil treatments are regularly used in a prophylactic manner and may be largely superfluous. Our expert evaluation revealed how numerous tools are either practiced or “implementation ready”(Tables 5and 6). Biological control, e.g., entomopathogenic fungi Beauveria bassiana and Metarhizium anisopliae, are used in Germany and ready for use in Italy and Slovenia. In Hungary, environmental conditions (i.e., drought) may limit the use of nematodes but could favor field application of Metarhizium spp. In the USA, biological control options are mainly at a research stage. Crop rotation is commonly practiced in all countries. In Hungary, the use of Phacelia tanacetifolia as green manure causes high levels of pest mortality, while the repellent effect of CaCN 2 is recognized in Italy, but not yet practiced. In Germany, the latter alternative is practiced, but does require a careful timing of application. Lastly, tillage is widely adopted as a management strategy in Hungary and Spain. Monitoring tools and DSS in general are practiced in the USA but only used to a limited extent in Europe (e.g., Hungary, Slovenia). In Italy’s Emilia-Romagna region, a monitoring network with pheromone traps has been deployed to forecast area-wide risk of wireworm attack: when a 700– 1000 captures/trap threshold is reached for particular wireworm species, larval sampling is suggested to further guide management actions. Also, once the above threshold is exceeded, the use of soil treatments is restricted to max. 50% of field area. In Germany, simple traps are used and abiotic risk factors are taken into account for wireworm management. Attract and kill and alternative insecticides are either unknown or not applicable for most of the countries given existing restrictions on the use of fipronil, bifenthrin and lindane. In Germany, attract and kill is used with a different product (ATTRACAP), while chlorpyrifos is used in Spain for soil treatment—though concerns exist over its potential environmental impacts. Western corn rootworm in maize Overall, the risk of western corn rootworm damage was rated low (except Slovenia). However, western corn rootworm risk is inflated in systems with continuous mono-culture planting, 29885Environ Sci Pollut Res (2020) 27:29867–29899 as compared to those where crop rotation is used. Especially dairy farmers appear to be reluctant to adopt crop rotation given their often-exclusive reliance upon maize as animal feed, and regularly suffer western corn rootworm damage of up to 50%. Yet, there are ample rotation options that can improve both milk quality and farm profit (Furlan et al. 2018). Across Europe, neonicotinoids are used in less than 25% of maize area (Table 10,Fig.2). In contrast, in the USA, most maize fields are treated with soil-applied neonicotinoids (Table 10,Fig.2)and25–50% of untreated fields are effectively managed with alternative tools. Hence, there is ample potential for these tools to be used over substantially greater areas. Most alternatives are exclusively at the research stage or not widely known (Table 7), except for crop rotation and pheromone trapping for monitoring purposes. In Hungary, models to guide crop rotation are used. In the USA, Diabrotica-resistant GM corn hybrids are used along with planting refuges. Lastly, nematode biological control is ready for use in Germany and GM tactics wait to be deployed in Hungary. Our expert evaluation yielded few western corn rootworm management tools. In Slovenia, DSS are available that use degree-day models to predict adult emergence while pheromone-based mating disruption and nematode application is at the research stage. In Germany, laboratory research is ongoing to refine attract and kill using CO 2 -release capsules and Metarhizium fungi. Experts regularly list environmental and economic impediments to the further adoption and upscaling of biological control. Despite low rate of seed or soil treatments (except for Slovenia), the perceived western corn rootworm risk across Europe is still low. In the USA, there is ample potential to reduce reliance upon neonicotinoids, as numerous alternatives are already in practice: crop rotation, Bt corn, monitoring traps, refuges along with Diabrotica-resistant hybrids. The main driver of western corn rootworm attacks is continuous corn planting, and system-level changes—e.g., adoption of crop rotation—can thus drastically lower pest issues. Biological control with Bt, nematodes, or entomopathogenic fungi and biopesticides is equally effective: Azadirachta indica A. Juss. (L.) fruit and leaves have insecticidal effects, while Gliricidia sepium and turmeric act as repellents. Attract and kill options can either use natural attractants (e.g., powdered roots of buffalo gourd, corn seedling volatiles, CO 2 , extracts of germinating corn) or synthetic volatiles to attract larvae. Lastly, pheromone-based monitoring can feed DSS and guide farmers’management decisions. In conclusion, multiple alternatives and IPM technology packages are welltailored to maize production systems globally, and can simultaneously resolve wireworm and western corn rootworm issues. European maize and wheat has historically been grown in a profitable fashion without any chemical insecticides. If today’s growers can steer clear of continuous maize cropping, they can side-step wireworm issues and avoid financial expenditures for insecticide usage. Brown planthopper in rice Largely considered a minor rice pest until the mid-1960s, Nilaparvata lugens has assumed the status of destructive pest due to “green revolution”style crop intensification (Pathak and Dhaliwal 1981; Heinrichs and Mochida 1984). Though sharp reductions in pesticide use restored natural enemy communities and resolved N. lugens pest issues during the 1980s and 1990s, (neonicotinoid) insecticides are once again increasingly used, leading to major insecticide resistance issues and triggering N. lugens outbreaks over extensive areas in tropical Asia (Bottrell and Schoenly 2012). In general, N. lugens outbreaks are indicative of crop mismanagement, insecticide abuse and unsustainable rice intensification (Sogawa et al. 2009). In only a few areas, the risk of N. lugens is considered zero e.g., in a high percentage of fields in southern Vietnam. Adoption levels of alternatives greatly vary between sites and individual countries. Overall, the pest status of brown planthopper was considered medium (25–50%), and its economic damage was rated as low to medium by experts. Yet, neonicotinoid granules are used on 50–75% of the rice area in Vietnam’sMekongDelta and on 25–50% fields in northern parts of this country (Table 10, Fig. 2). In China, no granular neonicotinoids are used, and 50–75% of untreated fields are managed using alternatives (Table 10). However, both Chinese and northern Vietnamese rice growers adopt foliar sprays of neonicotinoids in 75–100% of fields—though alternatives could readily be used over much of this area (Fig. 2). The high use of insecticide in northern Vietnam and China is associated with high adoption of hybrid rice varieties (> 70% of rice production area), many of which are hyper-susceptible to the white planthopper, Sogatella furcifera, and susceptible to brown planthopper (Horgan and Crisol 2013). In recent years, much research attention has been placed on developing improved hybrid varieties with resistance to both planthopper species (Horgan 2018). In southern Vietnam, large numbers of fields are treated with alternatives as promoted through national programs such as Three Reductions Three Gains (3R3G—reduce seeds, fertilizer, pesticides and gain yield, crop output, and net income) or the “1 Must Do 5 Reductions”(1M5R), which entails using certified seed while pursuing reductions in seed, fertilizer, chemical pesticide inputs, water use, and postharvest losses. Alternative tools are practiced in several key riceproducing regions: fertility management (i.e., silicon addition, balanced nitrogen inputs) and resistant varieties are adopted in Vietnam and Indonesia. On the other hand, adapted potassium fertilization is ready for implementation in some countries. Also, IPM packages consisting of appropriate water 29886 Environ Sci Pollut Res (2020) 27:29867–29899 management (i.e., avoidance of water-stress), insecticide reduction and host plant resistance are adopted in Vietnam. In both Vietnam and Indonesia, the planting of varieties with brown planthopper resistance genes has been hindered by the widespread and rapid adaptation of planthoppers to resistant varieties; however, some success was achieved in Indonesia with the local variety Inapari 13. Landscape-level diversification is practiced in Indonesia and in southern Vietnam, and is ready for implementation in the Philippines. However, although the effects of diversification on planthoppers have been relatively well studied, their impact on multi-species pest complexes has been difficult to anticipate and diversification recommendations thus need to be fine-tuned and locally adapted. Numerous additional tools were considered to be “implementation ready”: biopesticides for example are ready to use in Vietnam. In the Philippines, many alternatives have received research attention, but their practical application (or field-level evaluation and adaptation) is lagging. Experiences in southern Vietnam and in Indonesia show that holistic, systems-level interventions that combine good agronomy (including the incorporation of organic matter and animal manure), synchronous planting, host plant resistance, and biological control (e.g., 3R3G, 1M5R, or the application of plant growth promoting rhizobacteria), could successfully lower—or even completely eliminate—synthetic insecticides. These kinds of approaches urgently wait to be transferred to other areas and adapted to meet local growers’needs, conditions, and farming contexts. Discussion This study offers a synthetic review of the extent of usage of neonicotinoid insecticides in four globally important arable cropping systems (i.e., wheat, maize, rice, and cotton), and provides a systematic listing of non-chemical alternatives to replace these products in each system. Our work shows that neonicotinoid use is highest in rice against brown planthopper and in maize against soil-borne pests, and lowest in winter wheat against bird cherry-oat aphid and wireworms though only based on European data. For each of the crop × pest systems, myriad well-tested, cost-effective alternatives are available to swiftly transition away from neonicotinoids. As insect herbivores generally pose low risk in European cereal systems, we do not anticipate notable increases in crop damage (or declines in farm-level revenue) following the continent-wide ban on various popular neonicotinoids. Instead, current EU-wide restrictions on the use of imidacloprid, clothianidin, and thiamethoxam will help restore on-farm biodiversity, strengthen ecosystem services, and enhance in-field biological control. Furthermore, multiple alternatives are available at differing stages of readiness, several of which have been validated, adapted, and successfully used by farmers. Alternatives are locally adopted by nonnegligible numbers of farmers in winter wheat to control bird cherry-oat aphid (in Hungary and in Spain), yet farmers wait to adopt alternatives for wireworm management in most countries (Italy, Croatia, Germany, USA). Similar to cereal-based systems, numerous IPM alternatives are available and validated for maize systems, but their farm-level adaptation has not yet fully been realized, especially outside Europe. This may be explained by the higher gross margin of maize compared to cereals, or to the different land-use patterns and agrolandscape structure in Europe as compared to the rest of the word. Overall, we can confidently say that farmers who adopt non-chemical alternatives in small cereals and maize systems are likely to increase profitability of their operations, protect the environment while securing a steady output of safe, nutrient-rich farm produce. For each of the target pests, despite the current overreliance on neonicotinoids, promising trends can be observed in all arable crop systems. In the USA and Spain, current coverage of neonicotinoid-treated cereal crops is very high, and there may be considerable potential for reduction. For maize and winter wheat, IPM packages and “regenerative” farming schemes have been devised and field-tested, under which crop yields are sustained and farm profit can even be doubled (e.g.,(LaCanne and Lundgren 2018)). For A. gossypii and B. tabaci, though alternatives are well-described in the literature, research findings urgently need to be translated into practice. In certain systems, e.g., Arizona cotton, IPM packages consisting of altered planting dates, sanitary measures, and host-free periods permit a drastic reduction in insecticide use while maximizing field-level abundance and pest suppression potential of natural enemies (e.g., Ellsworth and Martinez-Carrillo (2001); Naranjo (2001)), and these experiences can readily be transferred to other production regions, e.g., in China, Pakistan, Egypt, or West Africa. Also, the welldeveloped biological control programs for pests such as Bemisia tabaci in greenhouse settings can help feed the design of CBC schemes (and possibly augmentative biological control interventions) in open-field crops. Our survey reveals comparatively high levels of neonicotinoid use in rice production, and low degrees of adoption of alternatives (except for areas in Vietnam, where rice growers have embraced 3R3G or 1M5R). More research is needed to develop full-fledged IPM packages that need to be validated by farmer groups. For brown planthopper in rice, one can now build upon initial successes with these 3R3G or 1M5R, and pursue a further incorporation of semio-chemicals, ecological engineering tactics and agronomic measures to achieve further reductions in insecticide use; however, past successes have been achieved through dedicated attention and due investment in communication strategies and campaign-type implementation. Evidence suggests that once funding for such communication 29887Environ Sci Pollut Res (2020) 27:29867–29899 campaigns declines or the campaigns otherwise cease, insecticide use will likely increase (Horgan 2018). For all crops, organic farming practices can equally restore or bolster ecosystem services such as biological control and help suppress pest populations, though their efficacy is likely pest-dependent (Muneret et al. 2018). In rice, participatory farmer training programs—eventually complemented with mass-media communication campaigns (including farmer-to- farmer video)—can help validate and adapt non-chemical alternatives to local farming contexts and rice production typologies (e.g., upland, low-land paddy). To facilitate these transitions, we introduce some guiding concepts and illuminate examples of successful agricultural extension (and transformation) programs in the section below. From theory to practice: facilitating the diffusion of alternatives Our work reveals how several nuclei of farmers worldwide havesuccessfully transitioned away from neonicotinoid insecticides, and instead employ non-chemical management alternatives. Opportunities exist to accelerate this process, engage more growers in regenerative styles of farming and ultimately reach a “tipping point”towards ecological intensification (e.g. (Tittonell 2014,Bommarcoetal.2013, Pretty et al. 2018). In order to enable this transition, a sound understanding is required of the various factors that shape farmers’technology adoption and the relative contribution of, e.g., cultural, social, economic, climatic, agronomic and in-field ecological processes. Farmer decision-making is complex, and a “systemslevel”perspective is essential to fully appreciate why growers in particular localities refrain from using, e.g., biological control while continuing to rely upon (insecticide-based) approaches despite their—often—questionable efficacy, cost-ef- fectiveness, and environmental profile. To successfully upscale alternatives, a focus on “innovation systems”instead of technical particularities of individual technologies is required (Schut et al. 2014), and an integration of individual practices under an IPM umbrella is a must (Stenberg 2017). Using Rogers’(1962)“Diffusion of innovations”framework, Wyckhuys et al. (2018) identified five key “roadblocks”for a broader adoption of biological control. We adopt this same framework to examine current adoption patterns of neonicotinoid alternatives, and list concrete opportunities to remediate certain “roadblocks”for individual farming contexts and crop × pest systems. Availability of sufficient knowledge on neonicotinoid alternatives Diagnosing the “readiness”status of alternative technologies in 7 pest × crop complexes, our works reveals an immense disparity in the local availability of alternatives (and supporting ecological knowledge) between cropping systems, IPM categories and geographies. For example, while 7 different management alternatives are “under research”for brown planthopper in Papua New Guinea, there is only one biological control option “ready for implementation”and none in practice. Earlier work has revealed an overall absence of CBC options for several of the world’s crops and accentuated how multiple insecticide-importing nations have limited or no alternative technologies on offer (Wyckhuys et al. 2013), with only a few commercially available natural enemies in the tropics (van Lenteren 2012). As local absence of alternatives effectively impedes their field-level adoption, our work calls for an acceleration of applied research in rice and for a (farm-level, participatory) technology validation in rice and maize. As a next step, locally validated technologies can be shared with farmers and the general public through, e.g., (mass-media) extension campaigns, “innovation”platforms for knowledge co-creation and sharing, farmer-to-farmer video channels, or online public media (Van Mele et al. 2009; Pretty et al. 2018;Wyckhuysetal.2019c). Divergent interests and priorities of farmers In their daily chores, farmers have to find a delicate balancing act, diverting their attention, time and (often scarce) resources to address multiple concerns. Unpredictable weather patterns, inadequate plant nutrition, crop failure, shifts in availability (or pricing) of inputs and supplies, and fluctuations in demand for harvested produce are all issues on farmers’minds, and shape farming decisions. Insect pests indeed can constrain crop production and have been shown to reduce yields by 10–16% worldwide (Oerke 2006), and farmers thus rightly worry about an eventual occurrence of pest outbreaks. Also, given their busy schedules, risk-averse farmers with sufficient financial resources regularly favor practices that circumvent laborious monitoring and require little thought (e.g., calendar-based sprays or “convenience”application modes), so-called “lazyman tactics”(i.e., insecticide seed coating) and other preventative measures. Also, farmers’actions are often guided by their beliefs and perceptions—instead of by actual pest numbers, pest-induced crop loss or the real financial implications of taking pest control action (Heong et al. 2002;Mourtzinis et al. 2019). Given that our expert panel ranked all target pests as “low- to intermediate-risk”and that many pest problems are secondary (i.e., triggered by farmers’own insecticide use), it is clear that those perceptions—and associated actions—are radically misguided. For example, in cotton production in the San Joaquin Valley (California), farmers who opt for “preventative”early-season insecticide sprays suffered from secondary pest problems and spent an additional $15/ha to resolve those, once again with synthetic insecticides (Gross and Rosenheim 2011). In Nicaraguan cabbage production, farmers who refrained from insecticide use ran substantially higher profits than those who did not (Bommarco et al. 2011); similar findings have been made for Philippine and Indonesian rice systems. Well-conceptualized and concerted efforts to rectify 29888 Environ Sci Pollut Res (2020) 27:29867–29899 farmers’perceptions (and related risk-averse behavior) can thus prevent induced pest issues while greatly benefiting farmers’pockets. Weak (agro-ecological) knowledge base When interviewing farmers in the 1990s, anthropologists were regularly told “nothing kills insects, except for insecticides”(Wyckhuys et al. 2019a,2019c). Though one might expect shallow ecological knowledge among illiterate, unschooled or resourcepoor growers in the developing world, similar patterns— rather surprisingly—have been recorded among contemporary farmers in Western Europe (Zhang et al. 2018). Aside for honeybee pollinators and ladybugs, human beings somehow face supreme difficulties to recognize or enumerate beneficial invertebrates irrespective of their multi-billion dollar contribution to pest management (Losey and Vaughan 2006). For example, overall knowledge of insects among USA college students is restricted to a mere 13 species (Bixler 2017). Switzerland and Japan—countries that top the ranks globally in terms of general education—reported similar patterns (Breuer et al. 2015;Hosakaetal.2017). In Canada, a national phone survey recorded a positive attitude towards biological control, but also commended intensifying tailored outreach and education (McNeil et al. 2010). In addition to a general disinterest or even fear towards invertebrate natural enemies (including spiders), locally held beliefs can preclude the on-farm trialing and adoption of non-pesticidal alternatives such as biological control (e.g., (Winarto 2004)). Many of the alternatives outlined in this paper are knowledge-inten- sive, i.e., require a fair degree of specialized (agro-ecological) knowledge on behalf of farmers to secure their successful onfarm adoption. Scientists often assume that farmers do possess the necessary knowledge base to successfully implement IPM; yet this assumption is false. In fact, the vast majority of farmers (and the general public) has no understanding whatsoever of insect-killing fungi or viruses, minute endoparasitoids or predatory mites (Wyckhuys et al. 2019a). Hence, thoughtfully crafted communication initiatives are required to build or strengthen farmers’ecological knowledge, provide workable alternatives and steer their decision-making away from costly and environmentally damaging insecticides. Perceived attributes of alternatives Several elements inherent to pest management—and perceived by individual farmers in different ways—can either accelerate or impede the uptake and subsequent diffusion of non-chemical alternatives. Five technology attributes in particular constrain the adoption of alternatives such as biological control (Wyckhuys et al. 2019c;Wyckhuysetal.2018): (i) relative advantage, (ii) compatibility, (iii) complexity, (iv) traceability, and (v) observability. More specifically, (i) USA walnut and pear growers praise the low (financial, human health) cost and environmentally friendly profile of biological control, though often question its advantage in terms of effectiveness (Goldberger and Lehrer 2016). Despite major geographical and temporal variability in cost-effectiveness and yield benefit (Tooker et al. 2017) and inconsistent benefits for farm-level profitability (LaCanne and Lundgren 2018)), neonicotinoids seemingly have other comparative advantages that explain their present-day use on tens of millions of hectares worldwide. (ii) As the efficacy of biological control is often context-de- pendent, complementary on-farm and landscape-level CBC actions can be taken to bolster its success rates (Shields et al. 2019). Also, certain alternatives are not compatible with (conventional) farm management schemes, e.g., when there is zero weed tolerance on large-scale “manicured”farms (Marshall et al. 2003) or when unguided insecticide applications remain in use (e.g., (Fogel et al. 2013). (iii) A third possible impediment is the (perceived) complexity of alternatives such as CBC floral strips (Gurr et al. 2016), beetle banks or DSS, as compared to neonicotinoid seed coatings—which are readily applied at the time of seed drilling. Certain technologies—such as the non-use of insecticides (Goldberger and Lehrer 2016)—are far less complex, and could yield satisfactory results when coupled with supporting CBC measures and promoted through thoughtful, targeted messaging. (iv) Neonicotinoid-based technologies regularly score high in terms of trialability, as it is easier for a farmer to test the efficacy of seed coatings in a field corner than to effectively trial, e.g., habitat management interventions. In Asia’s rice-growing areas, insecticides are sold “over the counter”in small sachets—similar to fast-moving consumer goods such as candy bars, soap or shampoo, thus further encouraging their trial-adoption. To encourage farmers with the trialing of alternative technologies, one-time economic incentives could be considered (e.g., (Cullen et al. 2008). (v) Observability is a major impediment for technologies that rely upon the use of, e.g., small-sized predatory mites or endophagous parasitoids. On the other hand, farmers— across the globe—take joy in observing the “knock-down” effect of certain insecticides and are often satisfied when there is a total absence of insects—irrespective of them being pests or natural enemies—in crops established with neonicotinoidcoated seed. Hence, when developing and up-scaling nonchemical alternatives, it is important to thoroughly examine the above technology attributes (and the associated decisionmaking processes). Perceived type of innovation-decision Three types of innovation-decision (Rogers 1962), can be distinguished: (i) optional, (ii) collective, and (iii) authority innovation-deci- sions. All three types are relevant when promoting neonicotinoid alternatives and carry variable potential under different geographical, crop × pest or socio-cultural contexts. A fair share of management decisions in European or USA agriculture are directly made by individual farmers. This may 29889Environ Sci Pollut Res (2020) 27:29867–29899 be different for contract farming, where there might be both lucrative opportunities (Sullivan et al. 1999); for Guatemalan snow pea) and important roadblocks (Grossman 1999); for conventional plantation-style banana) to further ecologically centered IPM. The role of collective decision-making processes can best be exemplified by the voluntary enrollment in mutual funds and pest-insurance schemes by entire groups of Italian maize growers, collective efforts to pursue agricultural systems “redesign”(Pretty et al. 2018), or farmers’organized supply of “quality produce”to supermarkets, e.g., in Vietnam (Moustier et al. 2010). The UN-sponsored “areawide pest management (AW-IPM)”approach (Vreysen et al. 2007) possibly could be used as an operational framework to phase out neonicotinoid insecticides over large areas and collectively move toward implementation of alternatives. Under such schemes, authority decisions can equally help propel alternatives, as exemplified by Cuba’s 1990s conversion of a staggering 1 million ha to biological control under well-coor- dinated, state-sponsored programs (Nicholls et al. 2002). Several of the above modus operandi carry potential to deliver pest management alternatives for the arable crops covered in this paper and can help ensure lasting (if not transformative) change at scale. Conclusion Our work reiterates how (neonicotinoid) insecticides are not necessarily employed to resolve economically important pest issues, but instead often constitute superfluous cost components in farming operations. Their unguided use can further trigger pest resurgence, degrade ecological resilience of agroecosystems and compromise long-term farm profitability. Also, their prophylactic application (e.g., as seed coatings or stem dips) is in direct conflict with globally valid IPM concepts and contributes to biodiversity loss. Our expert panel and scientific literature review reveal how (a) in most systems, pest populations rarely exceed economic threshold levels and the recurrent broad-scale (often prophylactic) use of these products is unjustified; (b) effective IPM procedures and tools are available to immediately reduce or suspend (neonicotinoid) insecticide use; and (c) that such insecticide phase-out can help improve or sustain farm-level revenue streams. Our study identifies several effective alternatives to (neonicotinoid) insecticide use in most important arable crops in the world; some of these alternatives are ready to be used for all the crop × pest combinations. The first and most powerful alternative is justthe concrete implementationof the IPM principles: low cost pest risk assessment with complementary limited in field evaluation to identify fields that do not require pest control. For most crop × pest combinations, practical methods are available to identify fields where pest control is needed. Their field-level implementation can be facilitated by establishing an effective independent advisory system and by providing insurance tools that make farmers comfortable with IPM implementation. As to Diabrotica,rotationprovedtobe the most effective and sustainable alternative. Rotation schemes may be flexible: maize may be rotated at varying frequencies (even after several years), only when monitoring reveals that WCR population levels are increasing, as demonstrated in practice by Furlan et al. 2018. For most crop × pest combinations, landscape management increasing biodiversity proves to be a sound as it can bolster biological control. In rice, pest-resistant varieties can mitigate insecticide use against Nilaparvata lugens. To facilitate the broad diffusion and farm-level implementation of IPM alternatives, it is necessary to pursue the following five steps: (1) effectively communicate low-cost, labor-saving IPM alternatives among a broad range of stakeholders, including farmers, to trigger farmer experimentation, induce innovation and stimulate technology diffusion (Furlan et al. 2017b); (2) set precise and verifiable targets for IPM implementation for each crop × pest system in the different geographies (e.g., annually diminishing maximum % of insecticide-treated cultivated land); (3) create or re-constitute an independent advisory system that provides objective guidance and scientifically underpinned information on local availability and efficacy of (non-chemical) alternatives; (4) support insurance approaches—e.g., mutual funds—to account for eventual agro-ecological upsets and uncertainties involved in IPM implementation; (5) carry out comprehensive, unbiased risk assessment and development of plant health strategies for those crop × pest systems that currently lack solid and effective IPM packages. By judiciously following these steps, deploying supportive policies and enabling an effective implementation of ecologically centered IPM, neonicotinoid insecticide use can be scaled down swiftly and substantially. Doing so will carry considerable benefits for the environment, farmers and society at large. Acknowledgments The authors would like to thank the Stichting Triodos Foundation (The Netherlands) for funding the Task Force on Systemic Pesticides (TFSP) as a totally independent research group, for making this study and the relative open access possible. The Stichting Triodos Foundation received funds from the Umwelt Stiftung Greenpeace (Germany), Pollinis (France) and the M.A.O.C. Gravin van Bylandt Stichting (The Netherlands). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. In addition, the authors are very grateful to Finbarr Horgan for his valuable contribution about rice pests. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the 29890 Environ Sci Pollut Res (2020) 27:29867–29899 source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. References Ahmad M, Arif MI (2008) Susceptibility of Pakistani populations of cotton aphid Aphis gossypii (Homoptera: Aphididae) to endosulfan, organophosphorus and carbamate insecticides. Crop Prot 27(3): 523–531. https://doi.org/10.1016/j.cropro.2007.08.006 Alford AM, Krupke CH (2019) Movement of the neonicotinoid seed treatment clothianidin into groundwater, aquatic plants, and insect herbivores. Environ Sci Technol 53(24):14368–14376. https://doi. org/10.1021/acs.est.9b05025 Alix VC, Mercier T (2009) Risks to bees from dusts emitted at sowing of coated seeds: concerns, risk assessment and risk management. Julius-Kühn Archive Al-mazra’awi MS, Ateyyat M (2009) Insecticidal and repellent activities of medicinal plant extracts against the sweet potato whitefly, Bemisia tabaci (Hom.: Aleyrodidae) and its parasitoid Eretmocerus mundus (Hym.: Aphelinidae). J Pest Sci 82(2):149– 154 An R, Orellana D, Phelan LP, Cañas L, Grewal PS (2016) Entomopathogenic nematodes induce systemic resistance in tomato against Spodoptera exigua, Bemisia tabaci and Pseudomonas syringae. Biol Control 93:24–29. https://doi.org/10.1016/j. biocontrol.2015.11.001 Ansari MA, Evans M, Butt TM (2009) Identification of pathogenic strains of entomopathogenic nematodes and fungi for wireworm control. Crop Prot 28(3):269–272. https://doi.org/10.1016/j.cropro. 2008.11.003 Antony B, Palaniswami MS, Kirk AA, Henneberry TJ (2004) Development of Encarsia bimaculata (Heraty and Polaszek) (Hymenoptera: Aphelinidae) in Bemisia tabaci (Gennadius) (Homoptera: Aleyrodidae) nymphs. Biol Control 30(3):546–555. https://doi.org/10.1016/j.biocontrol.2004.01.018 Aqueel MA, Leather SR (2011) Effect of nitrogen fertilizer on the growth and survival of Rhopalosiphum padi (L.) and Sitobion avenae (F.) (Homoptera: Aphididae) on different wheat cultivars. Crop Prot 30(2):216–221. https://doi.org/10.1016/j.cropro.2010.09.013 Azzam S, Wang F, Wu J-C, Shen J, Wang L-P, Yang G-Q, Guo Y-R (2009) Comparisons of stimulatory effects of a series of concentrations of four insecticides on reproduction in the rice brown planthopper Nilaparvata lugens Stål (Homoptera: Delphacidae). Int J Pest Manag 55(4):347–358. https://doi.org/10.1080/ 09670870902934872 Azzam S, Yang F, Wu J-C, Geng J, Yang G-Q (2011) Imidaclopridinduced transference effect on some elements in rice plants and the brown planthopper Nilaparvata lugens (Hemiptera: Delphacidae). Insect Sci 18(3):289–297. https://doi.org/10.1111/j.1744-7917. 2010.01352.x Bale JS, van Lenteren JC, Bigler F (2008) Biological control and sustainable food production. Philos Trans R Soc Lond Ser B Biol Sci 363(1492):761–776. https://doi.org/10.1098/rstb.2007.2182 Barratt BIP, Moran VC, Bigler F, van Lenteren JC (2018) The status of biological control and recommendations for improving uptake for the future. BioControl 63(1):155–167. https://doi.org/10.1007/ s10526-017-9831-y Barzman M, Paolo B, Nicholas A, Birch E, Boonekamp P, Dachbrodt- Saaydeh S, Graf B, Hommel B, Jensen JE, Kiss J, Kudsk P, Lamichhane JR, Messéan A, Moonen A-C, Ratnadass A, Ricci P, Sarah J-L, Sattin M (2015) Eight principles of integrated pest management. Agron Sustain Dev 35(4):1199–1215. https://doi.org/10. 1007/s13593-015-0327-9 Basanth YS, Sannaveerappanavar VT, Sidde Gowda DK (2013) susceptibility of different populations of Nilaparvata lugens from major rice growing areas of Karnataka, India to Different Groups of Insecticides. Rice Sci 20(5):371–378. https://doi.org/10.1016/ S1672-6308(13)60147-X Bass C, Denholm I, Williamson MS, Nauen R (2015) The global status of insect resistance to neonicotinoid insecticides. Pestic Biochem Physiol 121:78–87. https://doi.org/10.1016/j.pestbp.2015.04.004 Bateman R (2016) The Role of Pesticides in SE Asian Rice IPM: a view from the Mekong Delta. Outlooks Pest Manag 27(2):53–60. https:// doi.org/10.1564/v27_apr_02 Bažok R, Sivčev I, Kos T, BarčićJI, Kiss J, JankovičS (2011) Pherocon AM trapping and the “whole plant count”method—a comparison of two sampling techniques to estimate the WCR adult densities in Central Europe. Cereal Res Commun 39(2):298–305 https:// www.bib.irb.hr/444719?〈=ENLiving&rad = 444719 Bellamy DE, Asplen MK, Byrne DN (2004) Impact of Eretmocerus eremicus (Hymenoptera: Aphelinidae) on open-field Bemisia tabaci (Hemiptera: Aleyrodidae) populations. Biol Control 29(2):227–234. https://doi.org/10.1016/S1049-9644(03)00150-6 Benefer CM, Knight ME, Ellis JS, Hicks H, Blackshaw RP (2012) Understanding the relationship between adult and larval Agriotes distributions: The effect of sampling method, species identification and abiotic variables. Appl Soil Ecol 53:39–48. https://doi.org/10. 1016/j.apsoil.2011.11.004 Bi JL, Toscano NC, Madore MA (2003) Effect of urea fertilizer application on soluble protein and free amino acid content of cotton petioles in relation to silverleaf whitefly (Bemisia argentifolii) populations. J Chem Ecol 29(3):747–761. https://doi.org/10.1023/a: 1022880905834 Bixler RD (2017) Beautiful bugs, bothersome bugs, and FUN bugs: examining human interactions with insects and other arthropods AU - Shipley, Nathan J. Anthrozoös 30(3):357–372. https://doi.org/10. 1080/08927936.2017.1335083 Blacquière T, Smagghe G, van Gestel CAM, Mommaerts V (2012) Neonicotinoids in bees: a review on concentrations, side-effects and risk assessment. Ecotoxicology 21(4):973–992. https://doi.org/ 10.1007/s10646-012-0863-x Bollinger EK, Caslick JW (1985) Northern corn rootworm beetle densities near a red-winged blackbird roost. Can J Zool 63(3):502–505. https://doi.org/10.1139/z85-073 Bommarco R, Miranda F, Bylund H, Björkman C (2011) Insecticides suppress natural enemies and increase pest damage in cabbage. J Econ Entomol 104(3):782–791. https://doi.org/10.1603/EC10444 Bommarco R, Kleijn D, Potts SG (2013) Ecological intensification: harnessing ecosystem services for food security. Trends Ecol Evol 28(4):230–238. https://doi.org/10.1016/j.tree.2012.10.012 Bonmatin JM, Giorio C, Girolami V, Goulson D, Kreutzweiser DP, Krupke C, Liess M, Long E, Marzaro M, Mitchell EA, Noome DA, Simon-Delso N, Tapparo A (2015) Environmental fate and exposure; neonicotinoids and fipronil. Environ Sci Pollut Res Int 22(1):35–67. https://doi.org/10.1007/s11356-014-3332-7 Bortolotti L, Sabatini AG, Mutinelli F, Astuti M, Lavazza A, Piro R, Tesoriero D, Medrzycki P, Sgolastra F, Porrini C (2009) Spring honey bee losses in Italy, pp 148–152 https://www.cabdirect.org/ cabdirect/abstract/20113401186 Bottrell DG, Schoenly KG (2012) Resurrecting the ghost of green revolutions past: the brown planthopper as a recurring threat to highyielding rice production in tropical Asia. J Asia Pac Entomol 15(1):122–140. https://doi.org/10.1016/j.aspen.2011.09.004 29891Environ Sci Pollut Res (2020) 27:29867–29899 proximus and A. lineatus (Coleoptera: Elateridae): a comparative study on the pheromone composition and cytochrome c oxidase subunit I gene sequence. Chemoecology 22(1):23–28. https://doi. org/10.1007/s00049-011-0091-5 Vuts J, Furlan L, Csonka ÉB, Woodcock CM, Caulfield JC, Mayon P, Pickett JA, Birkett MA, Tóth M (2014) Development of a female attractant for the click beetle pest Agriotes brevis. Pest Manag Sci 70(4):610–614. https://doi.org/10.1002/ps.3589 Ward DP, DeGooyer TA, Vaughn TT, Head GP, McKee MJ, Astwood JD, Pershing JC (2004) Genetically enhanced maize as a potential management option for corn rootworm: YieldGard rootworm maize case study. In: Vidal S, Kuhlmann U, Edwards CR (eds) Western corn rootworm: ecology and management. CABI, Wallingford, p 320. https://doi.org/10.1079/9780851998176.0000 Waterhouse DF (1998) Biological control of insect pests : Southeast Asian prospects / D.F. Waterhouse. Edited by Research Australian Centre for International Agricultural, ACIAR monograph series ; no. 51. Australian Centre for International Agricultural Research, Canberra Wesseler J, Fall EH (2010) Potential damage costs of Diabrotica virgifera virgifera infestation in Europe –the ‘no control’scenario. J Appl Entomol 134(5):385–394. https://doi.org/10.1111/j.1439-0418. 2010.01510.x Westphal C, Vidal S, Horgan FG, Gurr GM, Escalada M, Van Chien H, Tscharntke T, Heong KL, Settele J (2015) Promoting multiple ecosystem services with flower strips and participatory approaches in rice production landscapes. Basic Appl Ecol 16(8):681–689. https:// doi.org/10.1016/j.baae.2015.10.004 Whitehorn PR, O’Connor S, Wackers FL, Goulson D (2012) Neonicotinoid pesticide reduces bumble bee colony growth and queen production. Science. 336:351–352. https://doi.org/10.1126/ science.1215025 Winarto YT (2004) Seeds of knowledge: the beginning of integrated pest management in Java. Wu W, Piyaratne MKDK, Zhao H, Li C, Hu Z, Xiangshun H (2014) Butterfly catastrophe model for wheat aphid population dynamics: construction, analysis and application. Ecol Model 288:55–61. https://doi.org/10.1016/j.ecolmodel.2014.05.017 Wyckhuys K, Lu Y, Morales H, Vázquez LL Moreno JL, Eliopoulos P, Mahecha LMH (2013) Current status and potential of conservation biological control for agriculture in the developing world. Vol 65 Wyckhuys KAG, Burra DD, Tran DH, Graziosi I, Walter AJ, Nguyen TG, Trong HN, Le BV, Le TTN, Fonte SJ (2017) Soil fertility regulates invasive herbivore performance and top-down control in tropical agroecosystems of Southeast Asia. Agric Ecosyst Environ 249:38–49. https://doi.org/10.1016/j.agee.2017.08.006 Wyckhuys KAG, Bentley JW, Lie R, Nghiem LTP, Fredrix M (2018) Maximizing farm-level uptake and diffusion of biological control innovations in today’s digital era. BioControl 63(1):133–148. https://doi.org/10.1007/s10526-017-9820-1 Wyckhuys KAG, Heong KL, Sanchez-Bayo F, Bianchi FJJA, Lundgren JG, Bentley JW (2019a) Ecological illiteracy can deepen farmers’ pesticide dependency. Environ Res Lett 14(9):093004. https://doi. org/10.1088/1748-9326/ab34c9 Wyckhuys KAG, Hughes AC, Buamas C, Johnson AC, Vasseur L, Reymondin L, Deguine JP, Sheil D (2019b) Biological control of an agricultural pest protects tropical forests. Commun Biol 2(1):10. https://doi.org/10.1038/s42003-018-0257-6 Wyckhuys KAG, Pozsgai G, Lovei GL, Vasseur L, Wratten SD, Gurr GM, Reynolds OL, Goettel M (2019c) Global disparity in public awareness of the biological control potential of invertebrates. Sci Total Environ 660:799–806. https://doi. org/10.1016/j.scitotenv.2019.01.077 Xian X, Zhai B, Zhang X, Cheng X, Wang J (2007) Teleconnection between the early immigration of brown planthopper (Nilaparvata lugens Stål) and ENSO indices: implication for its medium- and long-term forecast. Acta Ecol Sin 27(8):3144–3154. https://doi. org/10.1016/S1872-2032(07)60069-9 Yang N-W, Wan F-H (2011) Host suitability of different instars of Bemisia tabaci biotype B for the parasitoid Eretmocerus hayati. Biol Control 59(2):313–317. https://doi.org/10.1016/j.biocontrol. 2011.07.019 Yang Y-j, Dong B-q, Xu H-x, Zheng X-s, Heong KL, Zhong-xian L (2014) Susceptibility to insecticides and ecological fitness in resistant rice varieties of field Nilaparvata lugens Stål population free from insecticides in laboratory. Rice Sci 21(3):181–186. https:// doi.org/10.1016/S1672-6308(13)60181-X Yang L, Han Y, Li P, Wen L, Hou M (2017) Silicon amendment to rice plants impairs sucking behaviors and population growth in the phloem feeder Nilaparvata lugens (Hemiptera: Delphacidae). Sci Rep 7(1):1101. https://doi.org/10.1038/s41598-017-01060-4 Yao F-L, Yu Z, Zhao J-W, Desneux N, He Y-X, Weng Q-Y (2015) Lethal and sublethal effects of thiamethoxam on the whitefly predator Serangium japonicum (Coleoptera: Coccinellidae) through different exposure routes. Chemosphere 128:49–55. https://doi.org/10. 1016/j.chemosphere.2015.01.010 Yin J-L, Xu H-W, Wu J-C, Hu J-H, Yang G-Q (2014) Cultivar and insecticide applications affect the physiological development of the brown planthopper, Nilaparvata lugens (Stål) (Hemiptera: Delphacidae). Environ Entomol 37(1):206–212. https://doi.org/10. 1603/0046-225x(2008)37[206:caiaat]2.0.co;2 Zhang X-m, Yang N-w, Wan F-h, Lövei GL (2014) Density and seasonal dynamics of Bemisia tabaci (Gennadius) Mediterranean on common crops and weeds around cotton fields in Northern China. J Integr Agric 13(10):2211–2220. https://doi.org/10.1016/S2095-3119(13)60613-9 Zhang X, Liao X, Mao K, Zhang K, Hu W, Li J (2016) Insecticide resistance monitoring and correlation analysis of insecticides in field populations of the brown planthopper Nilaparvata lugens (stål) in China 2012–2014. Pestic Biochem Physiol 132:13–20. https://doi. org/10.1016/j.pestbp.2015.10.003 Zhang H, Potts SG, Breeze T, Bailey A (2018) European farmers’incentives to promote natural pest control service in arable fields. Land Use Policy 78:682–690. https://doi.org/10.1016/j.landusepol.2018. 07.017 Zheng Y-L, Xu L, Wu J-C, Liu J-L, DuanMu H-L (2007) Time of occurrence of hopperburn symptom on rice following root and leaf cutting and fertilizer application with brown planthopper, Nilaparvata lugens (stål) infestation. Crop Prot 26(2):66–72. https://doi.org/10.1016/j.cropro.2006.04.001 Zhu Z-R, Cheng J-A, Jiang M-X, Zhang X-X (2004) Complex influence of rice variety, fertilization timing, and insecticide on population dynamics of Sogatella furcifera (Horvath) , Nilaparvata lugens (Stål) (Homoptera: Delphacidae) and their natural enemies in rice in Hangzhou, China. Vol 77 Zou Y, de Kraker J, Bianchi FJJA, van Telgen MD, Xiao H, van der Werf W (2017) Video monitoring of brown planthopper predation in rice shows flaws of sentinel methods. Sci Rep 7:42210–42210. https:// doi.org/10.1038/srep42210 Websites https://www.nature.com/articles/palcomms201771#supplementaryinformation 29898 Environ Sci Pollut Res (2020) 27:29867–29899 Gov. of Ontario (2015) https://www.ontario.ca/page/neonicotinoidregulations ,https://www.ontario.ca/page/ministers-report-toxics- reduction-2015 NAWQA (2014) https://water.usgs.gov/nawqa/pnsp/usage/maps/ PAN International’s list of highly hazardous pesticides (2010) http://paninternational.org/ USEPA (2014) https://www.epa.gov/pollinator-protection Publisher’snote Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Affiliations Andrea Veres 1 &Kris A. G. Wyckhuys 2,3,4,5 &Jozsef Kiss 1 &Ferenc Tóth 1 &Giovanni Burgio 6 &Xavier Pons 7 & Carlos Avilla 8 &Stefan Vidal 9 &Jaka Razinger 10 &Renata Bazok 11 &Ewa Matyjaszczyk 12 &Ivan Milosavljević 13 & Xuan Vi Le 14 &Wenwu Zhou 15 &Zeng-Rong Zhu 15 &Hagus Tarno 16 &Buyung Hadi 17 &Jonathan Lundgren 18 & Jean-Marc Bonmatin 19 &Maarten Bijleveld van Lexmond 20 &Alexandre Aebi 21 &Aunu Rauf 22 &Lorenzo Furlan 23 1 Department of Integrated Plant Protection / Plant Protection Institute, Szent István University (SZIE), Páter Károly út 1, Gödöllő2103, Hungary 2 China Academy of Agricultural Sciences, Beijing, China 3 University of Queensland, Brisbane, Australia 4 Fujian Agriculture and Forestry University, Fuzhou, China 5 Chrysalis, Hanoi, Vietnam 6 Department of Agricultural and Food Sciences, Alma Mater Studiorum University of Bologna (UNIBO), Bologna, Italy 7 University of Lleida, Lleida, Spain 8 University of Seville, Seville, Spain 9 Department of Crop Sciences/Agricultural Entomology, Georg- August-University, Göttingen, Germany 10 Agricultural Institute of Slovenia, Ljubljana, Slovenia 11 Department for Agricultural Zoology, University of Zagreb Faculty of Agriculture, Zagreb, Croatia 12 Institute of Plant Protection –National Research Institute, Poznań, Poland 13 Department of Entomology, University of California, Riverside, CA, USA 14 Plant Protection Research Institute, Hanoi, Vietnam 15 Institute of Insect Sciences, Zhejiang University, Hangzhou, China 16 Brawijaya University, Malang, Indonesia 17 IRRI Cambodia Office, Phnom Penh, Cambodia 18 Ecdysis Foundation, Estelline, USA 19 Centre de Biophysique Moléculaire, Centre National de la Recherche Scientifique (CNRS), Orléans, France 20 IUCN, Neuchâtel, Switzerland 21 Laboratory of Soil Biodiversity, Institute of Ethnology, University of Neuchâtel, Neuchâtel, Switzerland 22 Bogor Agricultural University, Bogor, Indonesia 23 Agricultural Research Department, Veneto Agricoltura, Legnaro, Italy 29899Environ Sci Pollut Res (2020) 27:29867–29899