2009
DOI: 10.1111/j.1365-2486.2008.01813.x
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The land–atmosphere water flux in the tropics

Abstract: Tropical vegetation is a major source of global land surface evapotranspiration, and can thus play a major role in global hydrological cycles and global atmospheric circulation. Accurate prediction of tropical evapotranspiration is critical to our understanding of these processes under changing climate. We examined the controls on evapotranspiration in tropical vegetation at 21 pan-tropical eddy covariance sites, conducted a comprehensive and systematic evaluation of 13 evapotranspiration models at these sites… Show more

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Cited by 228 publications
(198 citation statements)
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“…2 shows that equatorial forests exhibit a seasonal cycle of E peaking with net radiation during the dry season, transitional southern forests show either a flat seasonal cycle (due to less seasonality in available light) or a slight dry season depression (some degree of water limitation), and Cerrado demonstrates a strong dry season depression (both due to reductions in light and water). These results corroborate those of previous work which showed a general trend of increasing water limitation from north to south (Hasler and Avissar, 2007;Juarez et al, 2007;Borma et al, 2009;da Rocha et al, 2002da Rocha et al, , 2009Fisher et al, 2009). While BAN and RJA differed slightly in their respective seasonalities of E (BAN has a more pronounced dry season depression compared to RJA), overall the individual site E seasonalities corresponded to the mean E seasonality of the grouped sites (see Appendix D of the supplement for individual site seasonalities).…”
Section: Site and Model Representation In Analysessupporting
confidence: 81%
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“…2 shows that equatorial forests exhibit a seasonal cycle of E peaking with net radiation during the dry season, transitional southern forests show either a flat seasonal cycle (due to less seasonality in available light) or a slight dry season depression (some degree of water limitation), and Cerrado demonstrates a strong dry season depression (both due to reductions in light and water). These results corroborate those of previous work which showed a general trend of increasing water limitation from north to south (Hasler and Avissar, 2007;Juarez et al, 2007;Borma et al, 2009;da Rocha et al, 2002da Rocha et al, , 2009Fisher et al, 2009). While BAN and RJA differed slightly in their respective seasonalities of E (BAN has a more pronounced dry season depression compared to RJA), overall the individual site E seasonalities corresponded to the mean E seasonality of the grouped sites (see Appendix D of the supplement for individual site seasonalities).…”
Section: Site and Model Representation In Analysessupporting
confidence: 81%
“…We interpreted consistency between model-derived and observation-derived R 2 and slope values as one metric of realism of modeled controls on E. For these regressions, we approximated available energy with the sum of latent and sensible heat (LE + H). Using LE + H as an estimate of available energy instead of R n is an approach recently adopted by a pan-tropical review of LE (Fisher et al, 2009) as an alternative to filtering out periods of poor energy budget closure (periods when LE + H fall short of net radiation, R n ), which can reduce the number of daily replicates comprising a monthly mean (Costa et al, 2010). We recognize that such an approach inflates R 2 values and increases the slope, but absolute values are not the emphasis here.…”
Section: Atmospheric and Vegetation Controls On Ementioning
confidence: 99%
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“…It is particularly important because of its prominent role in carbon and water cycles. Its vegetation stores about 90 Pg (1 Pg = 10 15 g) of carbon (Saatchi et al, 2007), and about 50 % of the rainfall in the region comes from water cycled via transpiration (Salati, 1987;Fisher et al, 2009). Net productivity of tropical forests may be limited by several factors, including nutrient defi ciency (Vitousek et al, 2010), sunlight (Graham et al, 2003) and soil water content (Wagner et al, 2012).…”
Section: Introductionmentioning
confidence: 99%