2007
DOI: 10.1073/pnas.0611338104
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Large seasonal swings in leaf area of Amazon rainforests

Abstract: Despite early speculation to the contrary, all tropical forests studied to date display seasonal variations in the presence of new leaves, flowers, and fruits. Past studies were focused on the timing of phenological events and their cues but not on the accompanying changes in leaf area that regulate vegetation-atmosphere exchanges of energy, momentum, and mass. Here we report, from analysis of 5 years of recent satellite data, seasonal swings in green leaf area of Ϸ25% in a majority of the Amazon rainforests. … Show more

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Cited by 393 publications
(431 citation statements)
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“…The increase of E T in eastern Amazonia from September to November is consistent with higher values of EVI and R n , as observed by Huete et al (2006). However, the adjacent deforested areas presented lower values of E T as well as of the EVI during the dry season, as reported in other studies (Huete et al 2006, Myneni et al 2007). …”
Section: Isccp R N Datasupporting
confidence: 89%
“…The increase of E T in eastern Amazonia from September to November is consistent with higher values of EVI and R n , as observed by Huete et al (2006). However, the adjacent deforested areas presented lower values of E T as well as of the EVI during the dry season, as reported in other studies (Huete et al 2006, Myneni et al 2007). …”
Section: Isccp R N Datasupporting
confidence: 89%
“…The degree of biomass accumulation available for fire (i.e. the fuel load) in the Brazilian Amazon may be related to the antecedent precipitation, although the role of the seasonality of sunlight and rainfall in biomass production is subject to ongoing debate (Saleska et al 2003;Myneni et al 2007;Morton et al 2014). It is unknown, however, if these precipitation factors influence the occurrence of different fire types, although as discussed earlier, different fire types are expected to have different fuel loads and may be ignited at different times of the year.…”
Section: Precipitationmentioning
confidence: 99%
“…With the support of satellite imagery time-series data it became possible for researchers to obtain phenological information at various spatial and temporal intervals. Looking at publications in the 32 Hussein et al (2017) area, it should be stated that the first use of satellite data in the identification of key phenological parameters using NDVI was described in publications by Tucker and Myneni (Tucker et al, 2001;Myneni et al, 2007).…”
Section: Introductionmentioning
confidence: 99%