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dc.contributor.authorBebber, DP
dc.date.accessioned2019-05-07T10:14:18Z
dc.date.issued2019-05-06
dc.description.abstractClimate change has significantly altered species distributions in the wild and has the potential to affect the interactions between pests and diseases and their human, animal and plant hosts. While several studies have projected changes in disease distributions in the future, responses to historical climate change are poorly understood. Such analyses are required to dissect the relative contributions of climate change, host availability and dispersal to the emergence of pests and diseases. Here, we model the influence of climate change on the most damaging disease of a major tropical food plant, Black Sigatoka disease of banana. Black Sigatoka emerged from Asia in the late twentieth Century and has recently completed its invasion of Latin American and Caribbean banana-growing areas. We parametrize an infection model with published experimental data and drive the model with hourly microclimate data from a global climate reanalysis dataset. We define infection risk as the sum of the number of modelled hourly spore cohorts that infect a leaf over a time interval. The model shows that infection risk has increased by a median of 44.2% across banana-growing areas of Latin America and the Caribbean since the 1960s, due to increasing canopy wetness and improving temperature conditions for the pathogen. Thus, while increasing banana production and global trade have probably facilitated Black Sigatoka establishment and spread, climate change has made the region increasingly conducive for plant infection. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. This issue is linked with the subsequent theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.en_GB
dc.description.sponsorshipBiotechnology & Biological Sciences Research Council (BBSRC)en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.identifier.citationVol. 374 (1775), article 20180269en_GB
dc.identifier.doi10.1098/rstb.2018.0269
dc.identifier.grantnumberBB/N020847/1en_GB
dc.identifier.grantnumber727624en_GB
dc.identifier.urihttp://hdl.handle.net/10871/36984
dc.language.isoenen_GB
dc.publisherRoyal Societyen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/31056056en_GB
dc.rights© 2019 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.en_GB
dc.subjectBlack Leaf Streak Diseaseen_GB
dc.subjectMusaen_GB
dc.subjectMycosphaerella fijiensisen_GB
dc.subjectPseudocercospora fijiensisen_GB
dc.subjectepidemiologyen_GB
dc.subjectinvasive speciesen_GB
dc.titleClimate change effects on Black Sigatoka disease of bananaen_GB
dc.typeArticleen_GB
dc.date.available2019-05-07T10:14:18Z
exeter.place-of-publicationEnglanden_GB
dc.descriptionThis is the final version. Available on open access from the Royal Society via the DOI in this record en_GB
dc.descriptionData accessibility: JRA55 data are available from the Research Data Archive of the National Center for Atmospheric Research at https://rda.ucar.edu. SPAM crop distribution data area available from http://mapspam.info.en_GB
dc.identifier.eissn1471-2970
dc.identifier.journalPhilosophical Transactions B: Biological Sciencesen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-01-15
exeter.funder::Biotechnology & Biological Sciences Research Council (BBSRC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-01-15
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-05-07T10:11:18Z
refterms.versionFCDAM
refterms.dateFOA2019-05-07T10:14:23Z
refterms.panelAen_GB


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© 2019 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution
License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original
author and source are credited.
Except where otherwise noted, this item's licence is described as © 2019 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.