Influence of climate change and pesticide use practices on the ecological risks of pesticides in a protected Mediterranean wetland: A Bayesian network approach

dc.contributor.authorMartínez Megías, Claudia
dc.contributor.authorMentzel, Sophie
dc.contributor.authorFuentes Edfuf, Yasser
dc.contributor.authorMoe, Jannicke
dc.contributor.authorRico, Andreu
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades
dc.contributor.funderGeneralitat Valenciana
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2024-07-08T13:14:13Z
dc.date.available2024-07-08T13:14:13Z
dc.date.issued2023
dc.description.abstractPollution by agricultural pesticides is one of the most important pressures affecting Mediterranean coastal wetlands. Pesticide risks are expected to be influenced by climate change,which will result in an increase of temperatures and a decrease in annual precipitation. On the other hand,pesticide dosages are expected to change given the increase in pest resistance and the implementation of environmental policies like the European ´Farm-to-Fork` strategy,which aims for a 50 % reduction in pesticide usage by 2030. The influence of climate change and pesticide use practices on the ecological risks of pesticides needs to be evaluated making use of realistic environmental scenarios. This study investigates how different climate change and pesticide use practices affect the ecological risks of pesticides in the Albufera Natural Park (Valencia,Spain),a protected Mediterranean coastal wetland. We performed a probabilistic risk assessment for nine pesticides applied in rice production using three climatic scenarios (for the years 2008,2050 and 2100),three pesticide dosage regimes (the recommended dose,and 50 % increase and 50 % decrease),and their combinations. The scenarios were used to simulate pesticide exposure concentrations in the water column of the rice paddies using the RICEWQ model. Pesticide effects were characterized using acute and chronic Species Sensitivity Distributions built with toxicity data for aquatic organisms. Risk quotients were calculated as probability distributions making use of Bayesian networks. Our results show that future climate projections will influence exposure concentrations for some of the studied pesticides,yielding higher dissipation and lower exposure in scenarios dominated by an increase of temperatures,and higher exposure peaks in scenarios where heavy precipitation events occur right after pesticide application. Our case study shows that pesticides such as azoxystrobin,difenoconazole and MCPA are posing unacceptable ecological risks for aquatic organisms,and that the implementation of the ´Farm-to-Fork` strategy is crucial to reduce them. © 2023 The Authors
dc.description.fundingtypeThis study was funded by the CICLIC project (Smart tools and technologies to assess the environmental fate and risks of Contaminants under Climate Change) funded by the Spanish Ministry of Science, Innovation and Universities ( RTI 2018_097158_A_C32 ); the H2020-MSCA-ITN ECORISK2050 project, funded by the European Union's Horizon 2020 research and innovation program (grant agreement No. 813124 ); and the Talented Researcher Support Programme - PlanGenT ( CIDEGENT/2020/043 ) of the Generalitat Valenciana . We would like to thank J. Soria for the 2008 water flow data and L. Blanch for the information on rice production and pesticide management practices.
dc.description.peerreviewedyes
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationMartínez-Megías, C., Mentzel, S., Fuentes-Edfuf, Y., Moe, S. J., & Rico, A. (2023). Influence of climate change and pesticide use practices on the ecological risks of pesticides in a protected Mediterranean wetland: A Bayesian network approach. Science of the Total Environment, 878, 163018.
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2023.163018
dc.identifier.issn489697
dc.identifier.officialurlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85150919792&doi=10.1016%2fj.scitotenv.2023.163018&partnerID=40&md5=5882d5245adbbfa447fa732d69a2dee7
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3022
dc.journal.titleScience of the Total Environment
dc.language.isoen
dc.publisherElsevier B.V.
dc.relation.departmentStrategy
dc.relation.entityIE University
dc.relation.projectIDMCIU: H2020-MSCA-ITN ECORISK2050
dc.relation.projectID RTI 2018_097158_A_C32
dc.relation.projectID  Horizon 2020: 813124
dc.relation.schoolIE Business School
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.otherAquatic organisms
dc.subject.otherBayesian networks
dc.subject.otherEcology
dc.subject.otherEnvironmental protection
dc.subject.otherFarms
dc.subject.otherPesticides
dc.subject.otherProbability distributions
dc.subject.otherRisk assessment
dc.subject.otherRisk perception
dc.subject.otherWetlands
dc.subject.otherAgricultural pesticides
dc.subject.otherBayesia n networks
dc.subject.otherCoastal wetlands
dc.subject.otherEcological risks
dc.subject.otherExposure concentration
dc.subject.otherFarm-to-fork strategy
dc.subject.otherPesticide use
dc.subject.otherPlant protection products
dc.subject.otherProbabilistic Risk Assessment
dc.subject.otherRice farming
dc.subject.otherClimate change
dc.subject.other2 (4 chloro 2 methylphenoxy)acetic acid
dc.subject.otherPesticide
dc.subject.otherBayesian analysis
dc.subject.otherClimate change
dc.subject.otherCoastal wetland
dc.subject.otherCrop production
dc.subject.otherEcological impact
dc.subject.otherEnvironmental impact
dc.subject.otherMediterranean environment
dc.subject.otherAlbufera Natural Park
dc.subject.otherComunidad Valencia
dc.subject.otherSpain
dc.subject.otherValencia [Comunidad Valencia]
dc.subject.otherAgriculture
dc.subject.otherAquatic Organisms
dc.subject.otherBayes Theorem
dc.subject.otherClimate Change
dc.subject.otherPesticides
dc.subject.otherWater Pollutants
dc.subject.otherChemical
dc.subject.otherWetlands
dc.titleInfluence of climate change and pesticide use practices on the ecological risks of pesticides in a protected Mediterranean wetland: A Bayesian network approach
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number878
dspace.entity.typePublication
person.identifier.scopus-author-id57204592021
person.identifier.scopus-author-id57224919474
person.identifier.scopus-author-id57191627008
person.identifier.scopus-author-id57210861272
person.identifier.scopus-author-id35096511800

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