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dc.contributor.authorRitchie, P
dc.contributor.authorHarper, A
dc.contributor.authorSmith, G
dc.contributor.authorKahana, R
dc.contributor.authorKendon, EJ
dc.contributor.authorLewis, H
dc.contributor.authorFezzi, C
dc.contributor.authorHalleck Vega, S
dc.contributor.authorBoulton, C
dc.contributor.authorBateman, IJ
dc.contributor.authorLenton, T
dc.date.accessioned2019-10-01T11:15:34Z
dc.date.issued2019-09-30
dc.description.abstractThe impact of climate change on vegetation including agricultural production has been the focus of many studies. Climate change is expected to have heterogeneous effects across locations globally, and the diversity of land uses characterising Great Britain (GB) presents a unique opportunity to test methods for assessing climate change effects and impacts. GB is a relatively cool and damp country, hence, the warmer and generally drier growing season conditions projected for the future are expected to increase arable production. Here we use state-of-the-art, kilometre-scale climate change scenarios to drive a land surface model (JULES; Joint UK Land Environment Simulator) and an ECOnometric AGricultural land use model (ECO-AG). Under unmitigated climate change, by the end of the century, the growing season in GB is projected to get >5°C warmer and 140 mm drier on average. Rising levels of atmospheric CO2 are predicted to counteract the generally negative impacts of climate change on vegetation productivity in JULES. Given sufficient precipitation, warming favours higher value arable production over grassland agriculture, causing a predicted westward expansion of arable farming in ECO-AG. However, drying in the East and Southeast, without any CO2 fertilisation effect, is severe enough to cause a predicted reversion from arable to grassland farming. Irrigation, if implemented, could maintain this land in arable production. However, the predicted irrigation demand of ~200 mm (per growing season) in many locations is comparable to annual predicted runoff, potentially demanding large-scale redistribution of water between seasons and/or across the country. The strength of the CO2 fertilisation effect emerges as a crucial uncertainty in projecting the impact of climate change on GB vegetation, especially farming land-use decisions.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipJoint UK BEIS/Defra Met Office Hadley Centre Climate Programmeen_GB
dc.identifier.citationPublished online 30 September 2019en_GB
dc.identifier.doi10.1088/1748-9326/ab492b
dc.identifier.grantnumberNE/P007880/1en_GB
dc.identifier.grantnumberGA01101en_GB
dc.identifier.urihttp://hdl.handle.net/10871/38994
dc.language.isoenen_GB
dc.publisherIOP Publishingen_GB
dc.relation.urlhttps://code.metoffice.gov.uk/trac/roses-uen_GB
dc.rights© 2019 The Author(s). Published by IOP Publishing Ltd. Open access under a CC BY 3.0 licenceen_GB
dc.titleLarge changes in Great Britain’s vegetation and agricultural land-use predicted under unmitigated climate changeen_GB
dc.typeArticleen_GB
dc.date.available2019-10-01T11:15:34Z
dc.descriptionThis is the author accepted manuscript. The final version is available from IOP Publishing via the DOI in this recorden_GB
dc.descriptionData availability: The parameter values used for JULES is available from the suite u-ao645 and branch ‘full_UK’ on the Rosie repository: https://code.metoffice.gov.uk/trac/roses-u (registration required). The data that support the findings of this study are openly available at DOI.en_GB
dc.identifier.journalEnvironmental Research Lettersen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/3.0en_GB
dcterms.dateAccepted2019-09-30
exeter.funder::Natural Environment Research Council (NERC)en_GB
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2019-08-30
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-10-01T11:11:38Z
refterms.versionFCDAM
refterms.dateFOA2019-10-01T11:15:40Z
refterms.panelBen_GB


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© 2019 The Author(s). Published by IOP Publishing Ltd. Open access under a CC BY 3.0 licence
Except where otherwise noted, this item's licence is described as © 2019 The Author(s). Published by IOP Publishing Ltd. Open access under a CC BY 3.0 licence