2014
DOI: 10.5194/bg-11-3069-2014
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Seasonal trends of dry and bulk concentration of nitrogen compounds over a rain forest in Ghana

Abstract: Abstract. African tropical forests of the equatorial belt might receive significant input of extra nitrogen derived from biomass burning occurring in the north savanna belt and transported equatorward by northeastern winds. In order to test this hypothesis an experiment was set up in a tropical rain forest in the Ankasa Game Reserve and Nini-Suhien National Park (Ghana) aimed at quantifying magnitude and seasonal variability of concentrations of N compounds, present as gas and aerosol (dry nitrogen) or in the … Show more

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Cited by 9 publications
(3 citation statements)
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“…We found FLUXCOM consistently underestimated both Amazonia and West African forests GPP (Figure 4), and MODIS GPP was even lower. It seems likely that dynamic vegetation models also underestimate West African forests GPP because previous studies involving our wet rainforest site Ankasa 19,20 found model GPP estimates lower than the flux-tower GPP (yearly mean varying from 22 to 36 MgC/ha/year) that is smaller than in-situ biometric measurements (40.1 MgC/ha/year) [35][36][37] . The above synthesis reveals an acute data-model discrepancy in tropical forests productivity estimates, especially for West African forests, which require more detailed investigation.…”
Section: Amazonia and West Africamentioning
confidence: 83%
See 1 more Smart Citation
“…We found FLUXCOM consistently underestimated both Amazonia and West African forests GPP (Figure 4), and MODIS GPP was even lower. It seems likely that dynamic vegetation models also underestimate West African forests GPP because previous studies involving our wet rainforest site Ankasa 19,20 found model GPP estimates lower than the flux-tower GPP (yearly mean varying from 22 to 36 MgC/ha/year) that is smaller than in-situ biometric measurements (40.1 MgC/ha/year) [35][36][37] . The above synthesis reveals an acute data-model discrepancy in tropical forests productivity estimates, especially for West African forests, which require more detailed investigation.…”
Section: Amazonia and West Africamentioning
confidence: 83%
“…For example, GPP can be estimated by non-biometric methods, such as eddy covariance tower measurements and remote sensing. However, in the entire African tropical forest region, there was only one eddy covariance tower (in Ankasa, Ghana), reporting three years of GPP (2011-2014) 19,20 .…”
Section: Introductionmentioning
confidence: 99%
“…This value is close to concentrations measured at residential (21.9 ± 5.2 ppb) and industrial (20.7 ± 0.7 ppb) sites. Ammonia concentrations measured in Abidjan are very high compared to the concentrations measured in rural African environments, where concentrations range from 1 to 9 ppb (Adon et al, 2010;Carmichael et al, 2003;Fattore et al, 2014;Martins et al, 2007), and are similar to concentrations found near agriculture sources.…”
Section: Ammonia (Nh 3 )mentioning
confidence: 59%