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Titel |
The interannual variability of Africa's ecosystem productivity: a multi-model analysis |
VerfasserIn |
U. Weber, M. Jung, M. Reichstein, C. Beer, M. C. Braakhekke, V. Lehsten, D. Ghent, J. Kaduk, N. Viovy, P. Ciais, N. Gobron, C. Rödenbeck |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1726-4170
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Digitales Dokument |
URL |
Erschienen |
In: Biogeosciences ; 6, no. 2 ; Nr. 6, no. 2 (2009-02-25), S.285-295 |
Datensatznummer |
250003437
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Publikation (Nr.) |
copernicus.org/bg-6-285-2009.pdf |
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Zusammenfassung |
We are comparing spatially explicit process-model based estimates of the
terrestrial carbon balance and its components over Africa and confront them
with remote sensing based proxies of vegetation productivity and atmospheric
inversions of land-atmosphere net carbon exchange. Particular emphasis is on
characterizing the patterns of interannual variability of carbon fluxes and
analyzing the factors and processes responsible for it. For this purpose
simulations with the terrestrial biosphere models ORCHIDEE, LPJ-DGVM,
LPJ-Guess and JULES have been performed using a standardized modeling
protocol and a uniform set of corrected climate forcing data.
While the models differ concerning the absolute magnitude of carbon fluxes,
we find several robust patterns of interannual variability among the models.
Models exhibit largest interannual variability in southern and eastern
Africa, regions which are primarily covered by herbaceous vegetation.
Interannual variability of the net carbon balance appears to be more
strongly influenced by gross primary production than by ecosystem
respiration. A principal component analysis indicates that moisture is the
main driving factor of interannual gross primary production variability for
those regions. On the contrary in a large part of the inner tropics
radiation appears to be limiting in two models. These patterns are partly
corroborated by remotely sensed vegetation properties from the SeaWiFS
satellite sensor. Inverse atmospheric modeling estimates of surface carbon
fluxes are less conclusive at this point, implying the need for a denser
network of observation stations over Africa. |
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