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dc.contributor.authorField, John L.
dc.contributor.authorRichard, Tom L.
dc.contributor.authorSmithwick, Erica A. H.
dc.contributor.authorCai, Hao
dc.contributor.authorLaser, Mark S.
dc.contributor.authorLeBauer, David S.
dc.contributor.authorLong, Stephen P.
dc.contributor.authorPaustian, Keith
dc.contributor.authorQin, Zhangcai
dc.contributor.authorSheehan, John J.
dc.contributor.authorSmith, Pete
dc.contributor.authorWang, Michael Q. L.
dc.contributor.authorLynd, Lee R
dc.date.accessioned2020-09-08T16:35:01Z
dc.date.available2020-09-08T16:35:01Z
dc.date.issued2020-09-08
dc.identifier.citationField , J L , Richard , T L , Smithwick , E A H , Cai , H , Laser , M S , LeBauer , D S , Long , S P , Paustian , K , Qin , Z , Sheehan , J J , Smith , P , Wang , M Q L & Lynd , L R 2020 , ' Robust paths to net greenhouse gas mitigation and negative emissions via advanced biofuels ' , PNAS , vol. 117 , no. 36 , pp. 21968-21977 . https://doi.org/10.1073/pnas.1920877117en
dc.identifier.issn0027-8424
dc.identifier.otherPURE: 171741797
dc.identifier.otherPURE UUID: d5110f3c-65be-454a-b494-7156be2995f5
dc.identifier.otherPubMed: 32839342
dc.identifier.otherScopus: 85090614213
dc.identifier.otherWOS: 000572967300024
dc.identifier.urihttps://hdl.handle.net/2164/15109
dc.descriptionACKNOWLEDGEMENTS We thank Dennis Ojima and Daniel L. Sanchez for their encouragement on this topic. The authors gratefully acknowledge partial support as follows: J.L.F., L.R.L., T.L.R., E.A.H.S., and J.J.S., the Sao Paulo Research Foundation (FAPESP grant# 2014/26767-9); J.L.F., L.R.L., K.P., and T.L.R., The Center for Bioenergy Innovation, a U.S. Department of Energy Research Center supported by the Office of Biological and Environmental Research in the DOE Office of Science (grant# DE-AC05-00OR22725); L.R.L., the Sao Paulo Research Foundation, and the Link Foundation; J.L.F. and K.P., USDA/NIFA (grant# 2013-68005-21298 and 2017-67019-26327); T.L.R., USDA/NIFA (grant# 2012-68005-19703); D.S.L. and S.P.L., the Energy Biosciences Institute. Data availability The DayCent model (https://www2.nrel.colostate.edu/projects/daycent/) is freely available upon request. Specification of DayCent model runs and automated model initialization, calibration, scenario simulation, results analysis, and figure generation were implemented in Python 2.7, using the numpy module for data processing and the matplotlib module for figure generation. Analysis code is available in a version-controlled repository (https://github.com/johnlfield/Ecosystem_dynamics). A working copy of the code, all associated DayCent model inputs, and analysis outputs are also available in an online data repository (https://figshare.com/s/4c14ec168bd550db4bad; note this URL is for accessing a private version of the repository, and will eventually be replaced with an updated URL for the public version of the repository, which will only be accessible after the journal-specified embargo date).en
dc.format.extent10
dc.language.isoeng
dc.relation.ispartofPNASen
dc.rightsCopyright © 2020 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectSDG 7 - Affordable and Clean Energyen
dc.subjectSDG 12 - Responsible Consumption and Productionen
dc.subjectSDG 13 - Climate Actionen
dc.subjectSDG 15 - Life on Landen
dc.subjectBiofuelsen
dc.subjectBECCSen
dc.subjectnatural climate solutionsen
dc.subjectmitigationen
dc.subjectnegative emissionsen
dc.subjectecosystem modelingen
dc.subjectlife cycle assessmenten
dc.subjectbiofuelsen
dc.subjectGE Environmental Sciencesen
dc.subjectQH301 Biologyen
dc.subjectGeneralen
dc.subjectSupplementary Dataen
dc.subject.lccGEen
dc.subject.lccQH301en
dc.titleRobust paths to net greenhouse gas mitigation and negative emissions via advanced biofuelsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1073/pnas.1920877117
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85090614213&partnerID=8YFLogxKen
dc.identifier.vol117en
dc.identifier.iss36en


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