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| Titel |
Inferring Amazon leaf demography from satellite observations of leaf area index |
| VerfasserIn |
S. Caldararu, P. I. Palmer, D. W. Purves |
| 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 ; 9, no. 4 ; Nr. 9, no. 4 (2012-04-16), S.1389-1404 |
| Datensatznummer |
250006949
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| Publikation (Nr.) |
 copernicus.org/bg-9-1389-2012.pdf |
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| Zusammenfassung |
| Seasonal and year-to-year variations in leaf cover imprint significant
spatial and temporal variability on biogeochemical cycles, and affect
land-surface properties related to climate. We develop a demographic model of
leaf phenology based on the hypothesis that trees seek an optimal leaf area
index (LAI) as a function of available light and soil water, and fit it to
spaceborne observations of LAI over the Amazon basin, 2001–2005. We find the
model reproduces the spatial and temporal LAI distribution whilst also
predicting geographic variation in leaf age from the basin centre
(2.1 ± 0.2 years), through to the lowest values over the deciduous
eastern and southern Amazon (6 ± 2 months). The model explains the
observed increase in LAI during the dry season as a net addition of leaves in
response to increased solar radiation. We anticipate our work to be a
starting point from which to develop better descriptions of leaf phenology to
incorporate into more sophisticated earth system models. |
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