Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration

dc.contributor.authorHollinger, David Y.
dc.contributor.authorOllinger, S. V.
dc.contributor.authorRichardson, Andrew D.
dc.contributor.authorMeyers, T. P.
dc.contributor.authorDail, D. B.
dc.contributor.authorMartin, M. E.
dc.contributor.authorScott, N. A.
dc.contributor.authorArkebauer, T. J.
dc.contributor.authorBaldocchi, Dennis D.
dc.contributor.authorClark, K. L.
dc.contributor.authorCurtis, P. S.
dc.contributor.authorDesai, Ankur R.
dc.contributor.authorDragoni, Danilo
dc.contributor.authorGoulden, Michael L.
dc.contributor.authorGu, Lianhong
dc.contributor.authorKatul, Gabriel G.
dc.contributor.authorPallardy, S. G.
dc.contributor.authorPaw U, Kyaw Tha
dc.contributor.authorSchmid, H. P.
dc.contributor.authorStoy, Paul C.
dc.contributor.authorSuyker, Andrew E.
dc.contributor.authorVerma, Shashi B.
dc.date.accessioned2019-02-25T16:09:16Z
dc.date.available2019-02-25T16:09:16Z
dc.date.issued2010-02
dc.description.abstractVegetation albedo is a critical component of the Earth's climate system, yet efforts to evaluate and improve albedo parameterizations in climate models have lagged relative to other aspects of model development. Here, we calculated growing season albedos for deciduous and evergreen forests, crops, and grasslands based on over 40 site‐years of data from the AmeriFlux network and compared them with estimates presently used in the land surface formulations of a variety of climate models. Generally, the albedo estimates used in land surface models agreed well with this data compilation. However, a variety of models using fixed seasonal estimates of albedo overestimated the growing season albedo of northerly evergreen trees. In contrast, climate models that rely on a common two‐stream albedo submodel provided accurate predictions of boreal needle‐leaf evergreen albedo but overestimated grassland albedos. Inverse analysis showed that parameters of the two‐stream model were highly correlated. Consistent with recent observations based on remotely sensed albedo, the AmeriFlux dataset demonstrated a tight linear relationship between canopy albedo and foliage nitrogen concentration (for forest vegetation: albedo=0.01+0.071%N, r2=0.91; forests, grassland, and maize: albedo=0.02+0.067%N, r2=0.80). However, this relationship saturated at the higher nitrogen concentrations displayed by soybean foliage. We developed similar relationships between a foliar parameter used in the two‐stream albedo model and foliage nitrogen concentration. These nitrogen‐based relationships can serve as the basis for a new approach to land surface albedo modeling that simplifies albedo estimation while providing a link to other important ecosystem processes.en_US
dc.identifier.citationHollinger, D. Y., S. V. Ollinger, A. D. Richardson, T. P. Meyers, D. B. Dail, M. E. Martin, N. A. Scott, T. J. Arkebauer, D. D. Baldocchi, K. L. Clark, P. S. Curtis, A. R. Desai, D. Dragoni, M. L. Goulden, L. Gu, G. G. Katul, S. G. Pallardy, K. T. Paw U, H. P. Schmid, Paul C. Stoy, A. E. Suyker, and S. B. Verma. “Albedo Estimates for Land Surface Models and Support for a New Paradigm Based on Foliage Nitrogen Concentration.” Global Change Biology 16, no. 2 (February 2010): 696–710. doi:10.1111/j.1365-2486.2009.02028.x.en_US
dc.identifier.issn1365-2486
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/15290
dc.language.isoenen_US
dc.rightsA government work is generally not subject to copyright in the United States and there is generally no copyright restriction on reproduction, derivative works, distribution, performance, or display of a government work.en_US
dc.rights.urihttps://www.usa.gov/government-works/en_US
dc.titleAlbedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentrationen_US
dc.typeArticleen_US
mus.citation.extentfirstpage696en_US
mus.citation.extentlastpage710en_US
mus.citation.issue2en_US
mus.citation.journaltitleGlobal Change Biologyen_US
mus.citation.volume16en_US
mus.data.thumbpage5en_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1111/j.1365-2486.2009.02028.xen_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.departmentLand Resources & Environmental Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US

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