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dc.date.accessioned2024-02-11T18:15:57Z
dc.date.available2024-02-11T18:15:57Z
dc.date.created2023-10-19T09:09:26Z
dc.date.issued2023
dc.identifier.citationWilcox, Kevin R. Chen, Anping Avolio, Meghan L. Butler, Ethan E. Collins, Scott Fisher, Rosie Keenan, Trevor Kiang, Nancy Y. Knapp, Alan K. Koerner, Sally E. Kueppers, Lara Liang, Guopeng Lieungh, Eva Loik, Michael Luo, Yiqi Poulter, Ben Reich, Peter Renwick, Katherine Smith, Melinda D. Walker, Anthony Weng, Ensheng Komatsu, Kimberly J. . Accounting for herbaceous communities in process-based models will advance our understanding of “grassy” ecosystems. Global Change Biology. 2023
dc.identifier.urihttp://hdl.handle.net/10852/107907
dc.description.abstractGrassland and other herbaceous communities cover significant portions of Earth's terrestrial surface and provide many critical services, such as carbon sequestration, wildlife habitat, and food production. Forecasts of global change impacts on these services will require predictive tools, such as process-based dynamic vegetation models. Yet, model representation of herbaceous communities and ecosystems lags substantially behind that of tree communities and forests. The limited representation of herbaceous communities within models arises from two important knowledge gaps: first, our empirical understanding of the principles governing herbaceous vegetation dynamics is either incomplete or does not provide mechanistic information necessary to drive herbaceous community processes with models; second, current model structure and parameterization of grass and other herbaceous plant functional types limits the ability of models to predict outcomes of competition and growth for herbaceous vegetation. In this review, we provide direction for addressing these gaps by: (1) presenting a brief history of how vegetation dynamics have been developed and incorporated into earth system models, (2) reporting on a model simulation activity to evaluate current model capability to represent herbaceous vegetation dynamics and ecosystem function, and (3) detailing several ecological properties and phenomena that should be a focus for both empiricists and modelers to improve representation of herbaceous vegetation in models. Together, empiricists and modelers can improve representation of herbaceous ecosystem processes within models. In so doing, we will greatly enhance our ability to forecast future states of the earth system, which is of high importance given the rapid rate of environmental change on our planet.
dc.description.abstractAccounting for herbaceous communities in process-based models will advance our understanding of “grassy” ecosystems
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleAccounting for herbaceous communities in process-based models will advance our understanding of “grassy” ecosystems
dc.title.alternativeENEngelskEnglishAccounting for herbaceous communities in process-based models will advance our understanding of “grassy” ecosystems
dc.typeJournal article
dc.creator.authorWilcox, Kevin R.
dc.creator.authorChen, Anping
dc.creator.authorAvolio, Meghan L.
dc.creator.authorButler, Ethan E.
dc.creator.authorCollins, Scott
dc.creator.authorFisher, Rosie
dc.creator.authorKeenan, Trevor
dc.creator.authorKiang, Nancy Y.
dc.creator.authorKnapp, Alan K.
dc.creator.authorKoerner, Sally E.
dc.creator.authorKueppers, Lara
dc.creator.authorLiang, Guopeng
dc.creator.authorLieungh, Eva
dc.creator.authorLoik, Michael
dc.creator.authorLuo, Yiqi
dc.creator.authorPoulter, Ben
dc.creator.authorReich, Peter
dc.creator.authorRenwick, Katherine
dc.creator.authorSmith, Melinda D.
dc.creator.authorWalker, Anthony
dc.creator.authorWeng, Ensheng
dc.creator.authorKomatsu, Kimberly J.
cristin.unitcode185,28,8,1
cristin.unitnameGeo-økologisk forskningsgruppe
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin2186174
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Global Change Biology&rft.volume=&rft.spage=&rft.date=2023
dc.identifier.jtitleGlobal Change Biology
dc.identifier.volume29
dc.identifier.issue23
dc.identifier.startpage6453
dc.identifier.endpage6477
dc.identifier.doihttps://doi.org/10.1111/gcb.16950
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1354-1013
dc.type.versionPublishedVersion


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