title: Light-driven growth in Amazon evergreen forests explained by seasonal variations of vertical canopy structure.
abstract: Light-regime variability is an important limiting factor constraining tree growth in tropical forests. However, there is considerable debate about whether radiation-induced green-up during the dry season is real, or an apparent artifact of the remote-sensing techniques used to infer seasonal changes in canopy leaf area. Direct and widespread observations of vertical canopy structures that drive radiation regimes have been largely absent. Here we analyze seasonal dynamic patterns between the canopy and understory layers in Amazon evergreen forests using observations of vertical canopy structure from a spaceborne lidar. We discovered that net leaf flushing of the canopy layer mainly occurs in early dry season, and is followed by net abscission in late dry season that coincides with increasing leaf area of the understory layer. Our observations of understory development from lidar either weakly respond to or are not correlated to seasonal variations in precipitation or insolation, but are strongly related to the seasonal structural dynamics of the canopy layer. We hypothesize that understory growth is driven by increased light gaps caused by seasonal variations of the canopy. This light-regime variability that exists in both spatial and temporal domains can better reveal the drought-induced green-up phenomenon, which appears less obvious when treating the Amazon forests as a whole.
authors.affiliation: Department of Geographical Sciences, University of Maryland, College Park, MD 20742 htang@umd.edu.
authors.forename: Hao
authors.initials: H
authors.lastname: Tang
authors.affiliation: Department of Geographical Sciences, University of Maryland, College Park, MD 20742.
authors.forename: Ralph
authors.initials: R
authors.lastname: Dubayah
mesh_terms: D065928:Forests; D008027:Light; D010788:Photosynthesis / Q000502:physiology / Q000528:radiation effects; D018515:Plant Leaves / Q000254:growth & development* / Q000528:radiation effects; D045483:Rivers; D012621:Seasons; D014197:Trees / Q000502:physiology*; D014329:Tropical Climate
keywords: Amazon; forest structure; phenology; precipitation; remote sensing