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https://hdl.handle.net/1959.11/45872
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DC Field | Value | Language |
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dc.contributor.author | Tang, Fiona H M | en |
dc.contributor.author | Maggi, Federico | en |
dc.date.accessioned | 2022-03-02T02:43:10Z | - |
dc.date.available | 2022-03-02T02:43:10Z | - |
dc.date.issued | 2021-04 | - |
dc.identifier.citation | Environmental Research Letters, 16(4), p. 1-10 | en |
dc.identifier.issn | 1748-9326 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/45872 | - |
dc.description.abstract | In 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.language | en | en |
dc.publisher | Institute of Physics Publishing Ltd | en |
dc.relation.ispartof | Environmental Research Letters | en |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Pesticide mixtures in soil: a global outlook | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1088/1748-9326/abe5d6 | en |
dcterms.accessRights | UNE Green | en |
local.contributor.firstname | Fiona H M | en |
local.contributor.firstname | Federico | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | ftang2@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | United Kingdom | en |
local.identifier.runningnumber | 044051 | en |
local.format.startpage | 1 | en |
local.format.endpage | 10 | en |
local.identifier.scopusid | 85104917030 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 16 | en |
local.identifier.issue | 4 | en |
local.title.subtitle | a global outlook | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Tang | en |
local.contributor.lastname | Maggi | en |
dc.identifier.staff | une-id:ftang2 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/45872 | en |
local.date.onlineversion | 2021-04-06 | - |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Pesticide mixtures in soil | en |
local.relation.fundingsourcenote | This 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.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Tang, Fiona H M | en |
local.search.author | Maggi, Federico | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/72a594b8-b709-40be-aff7-d9721dda029d | en |
local.uneassociation | No | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.identifier.wosid | 000637348900001 | en |
local.year.available | 2021 | en |
local.year.published | 2021 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/72a594b8-b709-40be-aff7-d9721dda029d | en |
local.fileurl.openpublished | https://rune.une.edu.au/web/retrieve/72a594b8-b709-40be-aff7-d9721dda029d | en |
local.subject.for2020 | 410601 Land capability and soil productivity | en |
local.subject.for2020 | 410402 Environmental assessment and monitoring | en |
local.subject.seo2020 | 180605 Soils | en |
Appears in Collections: | Journal Article School of Environmental and Rural Science |
Files in This Item:
File | Description | Size | Format | |
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openpublished/PesticideTang2021JournalArticle.pdf | Published Version | 1.78 MB | Adobe PDF Download Adobe | View/Open |
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