Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/45872
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dc.contributor.authorTang, Fiona H Men
dc.contributor.authorMaggi, Federicoen
dc.date.accessioned2022-03-02T02:43:10Z-
dc.date.available2022-03-02T02:43:10Z-
dc.date.issued2021-04-
dc.identifier.citationEnvironmental Research Letters, 16(4), p. 1-10en
dc.identifier.issn1748-9326en
dc.identifier.urihttps://hdl.handle.net/1959.11/45872-
dc.description.abstractIn modern agriculture, pesticides are used in combinations to protect crops. The co-existence of multiple pesticides in soil can threaten the soil biodiversity that maintains ecosystem services, hence further posing a long-term risk on food security. Here, we introduce an assessment of global soil contamination by the residue of pesticide mixtures in nine cropping systems using a fully mechanistic, spatially explicit, and time-resolved model at 0.5<sup>◦</sup> × 0.5<sup>◦</sup> spatial resolution (approximately 55 × 55 km at the equator) fed with georeferenced agricultural quantities, soil properties, and hydroclimatic variables. We found that 8.3 million km<sup>2</sup> of treated land have more than one detectable pesticide, with pendimethalin, glyphosate, paraquat, chlorpyrifos, and chlorothalonil being the five most frequently detected. The highest pesticide mixture content was found in the 'orchards and grapes' cropping system (95th percentile at 7.3 mg kg soil<sup>-1</sup>). Globally, the pesticide mixture in the topsoil of approximately 1.88 million km<sup>2</sup> exceeded 1 mg kg soil<sup>-1</sup> for more than 180 d in a year. We estimate that 0.2 million tonnes of pesticides leach below the root zone each year globally, with glyphosate contributing the greatest fraction. The major hotspots of soil pesticide contamination are located in South America and Asia, mainly in Brazil, Argentina, Chile, China, Malaysia, and Japan. Our study shows that the accumulation of pesticide mixtures in soil is a global environmental issue that has to be explicitly accounted for in the sustainability assessment of agricultural production. We propose the use of mechanistic modelling as a tool to aid in designing pesticide management strategies and minimise residue contamination.</p>en
dc.languageenen
dc.publisherInstitute of Physics Publishing Ltden
dc.relation.ispartofEnvironmental Research Lettersen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titlePesticide mixtures in soil: a global outlooken
dc.typeJournal Articleen
dc.identifier.doi10.1088/1748-9326/abe5d6en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameFiona H Men
local.contributor.firstnameFedericoen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailftang2@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.identifier.runningnumber044051en
local.format.startpage1en
local.format.endpage10en
local.identifier.scopusid85104917030en
local.peerreviewedYesen
local.identifier.volume16en
local.identifier.issue4en
local.title.subtitlea global outlooken
local.access.fulltextYesen
local.contributor.lastnameTangen
local.contributor.lastnameMaggien
dc.identifier.staffune-id:ftang2en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/45872en
local.date.onlineversion2021-04-06-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitlePesticide mixtures in soilen
local.relation.fundingsourcenoteThis work is funded by the SREI2020 EnviroSphere research program of the University of Sydney. The authors acknowledge the Sydney Informatics Hub and the University of Sydney's high performance computing cluster Artemis for providing the high performance computing resources that have contributed to the results reported within this work. The authors acknowledge the use of the National Computational Infrastructure (NCI) which is supported by the Australian Government, and accessed through the Sydney Informatics Hub HPC Allocation Scheme supported by the Deputy Vice-Chancellor (Research), the University of Sydney and the ARC LIEF, 2019: Smith, Muller, Thornber et al Sustaining and strengthening merit-based access to National Computational Infrastructure (LE190100021).en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorTang, Fiona H Men
local.search.authorMaggi, Federicoen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/72a594b8-b709-40be-aff7-d9721dda029den
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000637348900001en
local.year.available2021en
local.year.published2021en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/72a594b8-b709-40be-aff7-d9721dda029den
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/72a594b8-b709-40be-aff7-d9721dda029den
local.subject.for2020410601 Land capability and soil productivityen
local.subject.for2020410402 Environmental assessment and monitoringen
local.subject.seo2020180605 Soilsen
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School of Environmental and Rural Science
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