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dc.contributor.authorJones, CD
dc.contributor.authorReddy, AD
dc.contributor.authorJeong, J
dc.contributor.authorWilliams, JR
dc.contributor.authorHamilton, SK
dc.contributor.authorHussain, MZ
dc.contributor.authorBandaru, V
dc.contributor.authorIzaurralde, RC
dc.date.accessioned2021-07-20T01:47:47Z
dc.date.available2021-07-20T01:47:47Z
dc.date.issued2021
dc.identifier.issn1364-8152en_US
dc.identifier.doi10.1016/j.envsoft.2021.105111en_US
dc.identifier.urihttp://hdl.handle.net/10072/405959
dc.description.abstractA Richards-based soil water model was implemented in the APEX and EPIC terrestrial ecosystem models to improve their hydrologic modeling capabilities. The Richards model together with two existing soil water models were calibrated and evaluated to assess their performance for simulating watershed-level hydrology under scenarios of landscape conversion to bioenergy crop production. The Richards model was shown to better reflect observed soil-water dynamics in grain (corn) and cellulosic (switchgrass) bioenergy agroecosystems, whereas all three models simulated historic streamflows comparably. Application of the models to understand the impacts of widespread landscape conversion from traditional agriculture to bioenergy producing landscapes indicated disparate conclusions, with the Richards-based simulations indicating a modest 1.0% reduction in streamflow whereas the existing models simulated sizable reductions of 10.6–16.1%. This study clearly demonstrates the impact of model methodology on system understanding and contextualizes the wide range of simulated streamflow impacts from bioenergy conversions reported in the literature.en_US
dc.description.peerreviewedYesen_US
dc.languageenen_US
dc.publisherElsevier BVen_US
dc.relation.ispartofpagefrom105111en_US
dc.relation.ispartofjournalEnvironmental Modelling and Softwareen_US
dc.relation.ispartofvolume143en_US
dc.subject.fieldofresearchPhysical Geography and Environmental Geoscienceen_US
dc.subject.fieldofresearchFreshwater Ecologyen_US
dc.subject.fieldofresearchcode0406en_US
dc.subject.fieldofresearchcode060204en_US
dc.titleImproved hydrological modeling with APEX and EPIC: Model description, testing, and assessment of bioenergy producing landscape scenariosen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationJones, CD; Reddy, AD; Jeong, J; Williams, JR; Hamilton, SK; Hussain, MZ; Bandaru, V; Izaurralde, RC, Improved hydrological modeling with APEX and EPIC: Model description, testing, and assessment of bioenergy producing landscape scenarios, Environmental Modelling and Software, 2021, 143, pp. 105111en_US
dcterms.licensehttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.date.updated2021-07-12T22:42:01Z
dc.description.versionAccepted Manuscript (AM)en_US
gro.rights.copyright© 2021 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.en_US
gro.hasfulltextFull Text
gro.griffith.authorHamilton, Stephen K.


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