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Title: Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks.
Authors: Ollinger, S.V.
Richardson, A.D.
Martin, M.E.
Hollinger, D.Y.
Frolking, S.E.
Reich, P.B.
Plourde, L.C.
Katul, G.G.
Munger, J.W.
Oren, R.
Smith, M.-L.
Paw U, K.T.
Bolstad, P.V.
Cook, B.D.
Day, M.C.
Martin, T.A.
Monson, R.K.
Schmid, H.P.
USDA, FS
Source: Proceedings of the National Academy of Sciences of the United States of America. 2008 Dec. 9, v. 105, no. 49 National Academy of Sciences, p. 19336-19341.
NALT Subjects: temperate forests
boreal forests
canopy
overstory
nitrogen content
leaves
conifer needles
photosynthesis
albedo (reflectance)
spatial variation
remote sensing
climatic factors
United States
Issue Date: 9-Dec-2008
Abstract: The availability of nitrogen represents a key constraint on carbon cycling in terrestrial ecosystems, and it is largely in this capacity that the role of N in the Earth's climate system has been considered. Despite this, few studies have included continuous variation in plant N status as a driver of broad-scale carbon cycle analyses. This is partly because of uncertainties in how leaf-level physiological relationships scale to whole ecosystems and because methods for regional to continental detection of plant N concentrations have yet to be developed. Here, we show that ecosystem CO₂ uptake capacity in temperate and boreal forests scales directly with whole-canopy N concentrations, mirroring a leaf-level trend that has been observed for woody plants worldwide. We further show that both CO₂ uptake capacity and canopy N concentration are strongly and positively correlated with shortwave surface albedo. These results suggest that N plays an additional, and overlooked, role in the climate system via its influence on vegetation reflectivity and shortwave surface energy exchange. We also demonstrate that much of the spatial variation in canopy N can be detected by using broad-band satellite sensors, offering a means through which these findings can be applied toward improved application of coupled carbon cycle-climate models.
URI: http://hdl.handle.net/10113/22086
Appears in Collections:USDA Research and Information

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