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dc.contributor.authorChaloner, TM
dc.contributor.authorGurr, SJ
dc.contributor.authorBebber, DP
dc.date.accessioned2021-08-06T12:43:56Z
dc.date.issued2021-08-05
dc.description.abstractGlobal food security is strongly determined by crop production. Climate change-induced losses to production can occur directly or indirectly, including via the distributions and impacts of plant pathogens. However, the likely changes in pathogen pressure in relation to global crop production are poorly understood. Here we show that temperature-dependent infection risk, r(T), for 80 fungal and oomycete crop pathogens will track projected yield changes in 12 crops over the twenty-first century. For most crops, both yields and r(T) are likely to increase at high latitudes. In contrast, the tropics will see little or no productivity gains, and r(T) is likely to decline. In addition, the United States, Europe and China may experience major changes in pathogen assemblages. The benefits of yield gains may therefore be tempered by the greater burden of crop protection due to increased disease and unfamiliar pathogens.en_GB
dc.description.sponsorshipBiotechnology and Biological Sciences Research Councilen_GB
dc.description.sponsorshipBill and Melinda Gates Foundationen_GB
dc.description.sponsorshipCIFARen_GB
dc.identifier.citationVol. 11, pp. 710 - 715en_GB
dc.identifier.doi10.1038/s41558-021-01104-8
dc.identifier.grantnumberBB/N020847/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/126693
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://www.isimip.orgen_GB
dc.relation.urlhttps://doi.org/10.5061/dryad.tqjq2bvw6en_GB
dc.relation.urlhttp://www.fao.orgen_GB
dc.relation.urlhttps://www.worldclim.orgen_GB
dc.relation.urlhttps://www.earthstat.orgen_GB
dc.relation.urlhttps://www.uni-frankfurt.de/45218031/data_downloaden_GB
dc.relation.urlhttp://www.speciesfungorum.org/en_GB
dc.relation.urlhttp://www.mycobank.org/en_GB
dc.relation.urlhttps://data.worldbank.org/en_GB
dc.relation.urlhttps://cds.climate.copernicus.euen_GB
dc.relation.urlhttps://www.gadm.orgen_GB
dc.rights.embargoreasonUnder embargo until 5 February 2022 in compliance with publisher policyen_GB
dc.rightsCopyright © 2021, The Author(s), under exclusive licence to Springer Nature Limiteden_GB
dc.subjectAgroecologyen_GB
dc.subjectAgricultureen_GB
dc.subjectClimate-change ecologyen_GB
dc.subjectInvasive speciesen_GB
dc.titlePlant pathogen infection risk tracks global crop yields under climate changeen_GB
dc.typeArticleen_GB
dc.date.available2021-08-06T12:43:56Z
dc.identifier.issn1758-678X
dc.descriptionThis is the author accepted manuscript. The final version is available from Nature Research via the DOI in this recorden_GB
dc.descriptionThe fungal and oomycete cardinal temperature data are available in Dryad42 (https://doi.org/10.5061/dryad.tqjq2bvw6) and from ref. 16. The data on annual crop yield projections used in this study are from the Inter-Sectoral Model Intercomparison Project (https://www.isimip.org). The fungal and oomycete host plant data and geographical distributions (the Plantwise database) were used under license for the current study and are available with permission from CABI. The FAOSTAT commodity list is available from http://www.fao.org. The global gridded climate data and climate projections are available from WorldClim (https://www.worldclim.org). The global gridded crop distribution data used in this study are available from EarthStat (https://www.earthstat.org) and MIRCA2000 (https://www.uni-frankfurt.de/45218031/data_download). The fungal and oomycete names and name disambiguation data were obtained from Species Fungorum (http://www.speciesfungorum.org/) and MycoBank (http://www.mycobank.org/). The annual per capita GDP (PPP) data were obtained from the World Bank (https://data.worldbank.org/). Coupled Model Intercomparison Project 5 single-level monthly near-surface RH data were obtained from the Climate Data Store (https://cds.climate.copernicus.eu). Administrative boundaries for the maps were obtained from GADM (https://www.gadm.org). The coastal outlines were obtained from package rworldmap version 1.3–6 for R version 4.0.1.en_GB
dc.descriptionAll analyses were conducted using existing functions for R version 4.0.1. No substantial custom code was used. R code used for data manipulation is available from the corresponding author on reasonable request.en_GB
dc.identifier.eissn1758-6798
dc.identifier.journalNature Climate Changeen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2021-06-29
rioxxterms.funderBiotechnology and Biological Sciences Research Councilen_GB
rioxxterms.identifier.projectBB/M009122/1en_GB
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2021-08-05
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-08-06T12:32:20Z
refterms.versionFCDAM
refterms.dateFOA2022-02-05T00:00:00Z
refterms.panelAen_GB
rioxxterms.funder.projecte6bcb320-0fd8-41ea-b197-0b19bc76ff14en_GB


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