Challenges and ways forward in pesticide emission and toxicity characterization modeling for tropical conditions
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In tropical cropping systems, pesticides are extensively used to fight pests and ensure high crop yields. However, pesticide use also leads to environmental and health impacts. While pesticide emissions and impacts are influenced by farm management practices and environmental conditions, available Life Cycle Inventory (LCI) emission models and Life Cycle Impact Assessment (LCIA) toxicity characterization models are generally designed based on temperate conditions. There is, hence, a need for adapting LCI and LCIA models for evaluating pesticides under tropical conditions. To address this need, we aim to identify the characteristics that determine pesticide emissions and related impacts under tropical conditions, and to assess to what extent LCI and LCIA models need to be adapted to better account for these conditions.
We investigated the state-of-knowledge with respect to characteristics that drive pesticide emission patterns, environmental fate, human and ecological exposures, and toxicological effects under tropical conditions. We then discuss the applicability of existing LCI and LCIA models to tropical regions as input for deriving specific recommendations for future modeling refinements.
Results and discussion
Our results indicate that many pesticide-related environmental processes, such as degradation and volatilization, show higher kinetic rates under tropical conditions mainly due to higher temperatures, sunlight radiation, and microbial activity. Heavy and frequent rainfalls enhance leaching and runoff. Specific soil characteristics (e.g., low pH), crops, and cropping systems (e.g., mulching) are important drivers of distinct pesticide emission patterns under tropical conditions. Adapting LCI models to tropical conditions implies incorporating specific features of tropical cropping systems (e.g., intercropping, ground cover management), specific drift curves for tropical pesticide application techniques, and better addressing leaching processes. The validity domain of the discussed LCI and LCIA models could be systematically extended to tropical regions by considering tropical soil types, climate conditions, and crops, and adding active substances applied specifically under tropical conditions, including the consideration of late applications of pesticides before harvest and their effect on crop residues and subsequent human intake.
Current LCI and LCIA models are not fully suitable for evaluating pesticide emissions and impacts for crops cultivated in tropical regions. Models should be adapted and parameterized to better account for various characteristics influencing emission and impact patterns under tropical conditions using best available data and knowledge. Further research is urgently required to improve our knowledge and data with respect to understanding and evaluating pesticide emission and impact processes under tropical conditions.
KeywordsLife cycle assessment Pesticides Emission models Toxicity characterization models Tropical regions
The present study was supported by ADEME (French Environment and Energy Management Agency) of Martinique (InnovACV project no. 17MAC0038), by CIRAD and the European Regional Development Fund of Martinique through the Rivage project (MQ0003772-CIRAD), and by the OLCA-Pest project financially supported by ADEME (grant agreement no. 17-03-C0025).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Basset-Mens C, Edewa A, Gentil C (2019) An LCA of French beans from Kenya for decision-makers. Indones J Life Cycle Assess Sust 3:11Google Scholar
- Biénabe E, Rival A, Loeillet D (2016) Développement durable et filières tropicales, Quae. Versailles, FranceGoogle Scholar
- Bojacá CR, Gil R, Casilimas H et al (2012) Modelling the environmental impact of pesticides sprayed on greenhouse tomatoes: a regional case study in Colombia. Acta Hortic 61–68. https://doi.org/10.17660/ActaHortic.2012.957.6
- Brock TC, Alix A, Brown C et al (2009) Linking aquatic exposure and effects: risk assessment of pesticides. CRC PressGoogle Scholar
- Charlier JB, Cattan P, Voltz M, Moussa R (2009) Transport of a nematicide in surface and groundwaters in a tropical volcanic catchment. J Environ Qual 38:1031–1041Google Scholar
- Dickinson NM, Lepp NW (1984) Pollution of tropical plantation crops by copper fungicides: a copper budget for Kenyan coffee plantation. Stud Environ Sci:341–346Google Scholar
- Dijkman TJ (2013) Modelling of pesticide emissions for Life Cycle Inventory analysis: model development, applications and implications. Department of Management Engineering, Technical University of Denmark, DissertationGoogle Scholar
- Fantke P (2019) Modeling the environmental impacts of pesticides in agriculture. In: Weidema, B.P. (Ed) Assessing the environmental impact of agriculture, Burleigh Dodds Science Publishing. Cambridge, United Kingdom, pp 177–228. https://doi.org/10.19103/AS.2018.0044.08
- Fantke P, Antón A, Grant T, Hayashi K (2017a) Pesticide emission quantification for life cycle assessment: a global consensus building process. J Life Cycle Assess 13:245–251Google Scholar
- Fantke P, Aurisano N, Bare J, Backhaus T, Bulle C, Chapman PM, de Zwart D, Dwyer R, Ernstoff A, Golsteijn L, Holmquist H, Jolliet O, McKone TE, Owsianiak M, Peijnenburg W, Posthuma L, Roos S, Saouter E, Schowanek D, van Straalen NM, Vijver MG, Hauschild M (2018) Toward harmonizing ecotoxicity characterization in life cycle impact assessment. Environ Toxicol Chem 37:2955–2971CrossRefGoogle Scholar
- Fantke P, Bijster M, Guignard C et al (2017b) USEtox® 2.0 documentation (Version1)Google Scholar
- FAOSTAT (2019) FAOSTAT. In: FAOSTAT. http://www.fao.org/faostat/en/#home. Accessed 15 Jan 2019
- Franke AC, Kempenaar C, Holterman HJ, van de Zande JC (2010) Spray drift from knapsack sprayers, a study conducted within the framework of the Sino-Dutch pesticide environmental risk assessment project PERAP. Wageningen, Plant Research International B.VGoogle Scholar
- Ganzelmeier H, Rautmann D, Spangenberg R et al (1995) Studies on the spray drift of plant protection products. Federal Biological Research Centre for Agriculture and Forestry, BerlinGoogle Scholar
- Gouda AI, Mehoba MHL, Toko II et al (2018) Comparison of drift of two types of sprayers used in cotton production in Benin. Biotechnol Agron Soc 22:94–105Google Scholar
- Hauschild MZ (2000) Estimating pesticide emissions for LCA of agricultural products. In: Weidema BP (ed) Agricultural data for life cycle assessments. Agricultural Economics Research Institute (LEI), The Hague, pp 64–79Google Scholar
- Henderson AD, Hauschild MZ, van de Meent D, Huijbregts MAJ, Larsen HF, Margni M, McKone TE, Payet J, Rosenbaum RK, Jolliet O (2011) USEtox fate and ecotoxicity factors for comparative assessment of toxic emissions in life cycle analysis: sensitivity to key chemical properties. Int J Life Cycle Assess 16:701–709CrossRefGoogle Scholar
- Holterman HJ, van de Zande JC (2003) IMAG Drift Calculator v1.1: user manual. http://www.pesticidemodels.eu/sites/default/files/documents/IDCmanual_0.pdf. Accessed 28 Dec 2018
- Hossain MS, Fakhruddin ANM, Chowdhury MAZ et al (2015) Health risk assessment of selected pesticide residues in locally produced vegetables of Bangladesh. Int Food Res J 22:110–115Google Scholar
- Laplace D (2018) L’usage des phytosanitaires dans le bassin amazonien : entre problèmes spécifiques à l’agriculture en zone tropicale et fragilité de l’écosystème. Innovations Agronomiques:1–10 https://doi.org/dx.doi.org/10.15454/1.5407989444908796E12
- Leboulanger C, Schwartz C, Somville P, Diallo AO, Pagano M (2011) Sensitivity of two mesocyclops (Crustacea, Copepoda, Cyclopidae), from tropical and temperate origins, to the herbicides, Diuron and Paraquat, and the insecticides, Temephos and Fenitrothion. B Environ Contam Tox 87:487–493CrossRefGoogle Scholar
- Mitoko GJAO (1997) Occupational pesticide exposure among Kenyan agricultural workers : an epidemiological and public health perspective. Ohayo-MitokoGoogle Scholar
- Mottes C, Lesueur-Jannoyer M, Le Bail M, Guéné M, Carles C, Malézieux E (2017) Relationships between past and present pesticide applications and pollution at a watershed outlet: the case of a horticultural catchment in Martinique, French West Indies. Chemosphere 184:762–773Google Scholar
- Mottes C, Lesueur-Jannoyer M, Le Bail M, Malézieux E (2014) Pesticide transfer models in crop and watershed systems: a review. Agron Sustain Dev 34:229–250Google Scholar
- Mutua GK, Ngigi AN, Getenga ZM (2016) Degradation characteristics of metribuzin in soils within the Nzoia River Drainage Basin, Kenya. Toxicol Environ Chem 98:800–813Google Scholar
- Nemecek T, Schnetzer J (2011) Methods of assessment of direct field emissions for LCIs of agricultural production systems. Data v3.0. Swiss Center for Life Cycle Inventories, Duebendord, SwitzerlandGoogle Scholar
- Oturan N, Trajkovska S, Oturan MA, Couderchet M, Aaron JJ (2008) Study of the toxicity of diuron and its metabolites formed in aqueous medium during application of the electrochemical advanced oxidation process “electro-Fenton.” Chemosphere 73:1550–1556Google Scholar
- Racke KD, Skidmore MW, Hamilton DJ, Unsworth JB, Miyamoto J, Cohen SZ (1997) Pesticides report .38. Pesticide fate in tropical soils - (Technical report). Pure Appl Chem 69:1349–1371Google Scholar
- Raksanam B, Taneepanichskul S, Siriwong W, Robson MG (2012) Factors associated with pesticide risk behaviors among rice farmers in rural community, Thailand. J Environ Earth Sci 2:32–39Google Scholar
- Rosenbaum RK, Bachmann TM, Gold LS, Huijbregts MAJ, Jolliet O, Juraske R, Koehler A, Larsen HF, MacLeod M, Margni M, McKone TE, Payet J, Schuhmacher M, van de Meent D, Hauschild MZ (2008) USEtox—the UNEP-SETAC toxicity model: recommended characterisation factors for human toxicity and freshwater ecotoxicity in life cycle impact assessment. Int J Life Cycle Assess 13:532–546CrossRefGoogle Scholar
- Rosenbaum RK, Huijbregts MAJ, Henderson AD, Margni M, McKone TE, van de Meent D, Hauschild MZ, Shaked S, Li DS, Gold LS, Jolliet O (2011) USEtox human exposure and toxicity factors for comparative assessment of toxic emissions in life cycle analysis: sensitivity to key chemical properties. Int J Life Cycle Assess 16:710–727CrossRefGoogle Scholar
- Sansoulet J, Cabidoche YM, Cattan P (2007) Adsorption and transport of nitrate and potassium in an Andosol under banana (Guadeloupe, French West Indies). Eur J Soil Biol 58:478–489Google Scholar
- Thorbek P, Forbes EV, Heimbach F et al (2009) Ecological models for regulatory risk assessments of pesticides: developing a strategy for the future. CRC PressGoogle Scholar
- Vázquez-Rowe I, Torres-García JR, Cáceres AL et al (2017) Assessing the magnitude of potential environmental impacts related to water and toxicity in the Peruvian hyper-arid coast: a case study for the cultivation of grapes for pisco production. Sci Total Environ 601–602:532–542CrossRefGoogle Scholar
- Wannaz C, Fantke P, Lane J, Jolliet O (2018) Source-to-exposure assessment with the Pangea multi-scale framework – case study in Australia. Environ Sci: Processes Impacts 20:133–144Google Scholar