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dc.contributor.authorCardenas, LM
dc.contributor.authorOlde, L
dc.contributor.authorLoick, N
dc.contributor.authorGriffith, B
dc.contributor.authorHill, T
dc.contributor.authorEvans, J
dc.contributor.authorCowan, N
dc.contributor.authorSegura, C
dc.contributor.authorSint, H
dc.contributor.authorHarris, P
dc.contributor.authorMcCalmont, J
dc.contributor.authorZhu, S
dc.contributor.authorDobermann, A
dc.contributor.authorLee, MRF
dc.date.accessioned2022-09-08T11:18:31Z
dc.date.issued2022-03-26
dc.date.updated2022-09-08T10:20:25Z
dc.description.abstractGrasslands cover around 25% of the global ice-free land surface, they are used predominantly for forage and livestock production and are considered to contribute significantly to soil carbon (C) sequestration. Recent investigations into using 'nature-based solutions' to limit warming to <2 °C suggest up to 25% of GHG mitigation might be achieved through changes to grassland management. In this study we evaluate pasture management interventions at the Rothamsted Research North Wyke Farm Platform, under commercial farming conditions, over two years and consider their impacts on net CO2 exchange. We investigate if our permanent pasture system (PP) is, in the short-term, a net sink for CO2 and whether reseeding this with deep-rooting, high-sugar grass (HS) or a mix of high-sugar grass and clover (HSC) might increase the net removal of atmospheric CO2. In general CO2 fluxes were less variable in 2018 than in 2017 while overall we found that net CO2 fluxes for the PP treatment changed from a sink in 2017 (-5.40 t CO2 ha-1 y-1) to a source in 2018 (6.17 t CO2 ha-1 y-1), resulting in an overall small source of 0.76 t CO2 ha-1 over the two years for this treatment. HS showed a similar trend, changing from a net sink in 2017 (-4.82 t CO2 ha-1 y-1) to a net source in 2018 (3.91 t CO2 ha-1 y-1) whilst the HSC field was a net source in both years (3.92 and 4.10 t CO2 ha-1 y-1, respectively). These results suggested that pasture type has an influence in the atmospheric CO2 balance and our regression modelling supported this conclusion, with pasture type and time of the year (and their interaction) being significant factors in predicting fluxes.en_GB
dc.description.sponsorshipBiotechnology and Biological Sciences Research Council (BBSRC)en_GB
dc.format.extent154819-
dc.format.mediumPrint-Electronic
dc.identifier.citationVol. 831, article 154819en_GB
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2022.154819
dc.identifier.grantnumberBBS/E/C/000I0320en_GB
dc.identifier.grantnumberBBS/E/C/000J0100en_GB
dc.identifier.urihttp://hdl.handle.net/10871/130746
dc.identifierORCID: 0000-0002-1740-930X (Hill, T)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/35346701en_GB
dc.relation.urlhttps://nwfp.rothamsted.ac.uk/en_GB
dc.rights© 2022 Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectCarbon fluxen_GB
dc.subjectCloveren_GB
dc.subjectLivestocken_GB
dc.subjectPastureen_GB
dc.subjectSoilsen_GB
dc.titleCO2 fluxes from three different temperate grazed pastures using Eddy covariance measurementsen_GB
dc.typeArticleen_GB
dc.date.available2022-09-08T11:18:31Z
dc.identifier.issn0048-9697
exeter.article-number154819
exeter.place-of-publicationNetherlands
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.descriptionData availability: the raw data is available on the Farm Platform Portal (https://nwfp.rothamsted.ac.uk/).en_GB
dc.identifier.eissn1879-1026
dc.identifier.journalScience of the Total Environmenten_GB
dc.relation.ispartofSci Total Environ, 831
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-03-21
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-03-26
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-09-08T11:15:34Z
refterms.versionFCDVoR
refterms.dateFOA2022-09-08T11:18:58Z
refterms.panelCen_GB


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© 2022 Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2022 Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).