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Abstract
Predictions of the magnitude and timing of leaf phenology in Amazonian forests remain highly controversial. Here, we use terrestrial LiDAR surveys every two weeks spanning wet and dry seasons in Central Amazonia to show that plant phenology varies strongly across vertical strata in old-growth forests, but is sensitive to disturbances arising from forest fragmentation. In combination with continuous microclimate measurements, we find that when maximum daily temperatures reached 35 °C in the latter part of the dry season, the upper canopy of large trees in undisturbed forests lost plant material. In contrast, the understory greened up with increased light availability driven by the upper canopy loss, alongside increases in solar radiation, even during periods of drier soil and atmospheric conditions. However, persistently high temperatures in forest edges exacerbated the upper canopy losses of large trees throughout the dry season, whereas the understory in these light-rich environments was less dependent on the altered upper canopy structure. Our findings reveal a strong influence of edge effects on phenological controls in wet forests of Central Amazonia.
Even evergreen tropical forests can have seasonal dynamics, which may be sensitive to disturbance. Here, the authors combine high-resolution remote sensing observations and microclimate data to show that forest fragmentation impacts canopy phenology dynamics in the Amazon forest.
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1 University of Helsinki, Department of Geosciences and Geography, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)
2 Biological Dynamics of Forest Fragment Project, National Institute for Amazonian Research, Manaus, Brazil (GRID:grid.419220.c) (ISNI:0000 0004 0427 0577)
3 AMAP, Univ Montpellier, IRD, CIRAD, CNRS, INRAE, Montpellier, France (GRID:grid.503016.1) (ISNI:0000 0001 2160 870X)
4 CAVElab—Computational and Applied Vegetation Ecology, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798)
5 Institute of Biology, University of Campinas, Department of Plant Biology, Campinas, Brazil (GRID:grid.411087.b) (ISNI:0000 0001 0723 2494)
6 School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, Australia (GRID:grid.117476.2) (ISNI:0000 0004 1936 7611)
7 Institute of Geography and Geoecology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (GRID:grid.7892.4) (ISNI:0000 0001 0075 5874); Centre for Landscape and Climate Research, School of Geography, Geology and the Environment, University of Leicester, Leicester, UK (GRID:grid.9918.9) (ISNI:0000 0004 1936 8411)
8 National Institute of Amazonian Research, Manaus, Brazil (GRID:grid.419220.c) (ISNI:0000 0004 0427 0577)
9 Michigan State University, Department of Forestry, East Lansing, USA (GRID:grid.17088.36) (ISNI:0000 0001 2150 1785)
10 University of Helsinki, Department of Geosciences and Geography, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071); Area of Ecology and Biodiversity, School of Biological Sciences, Faculty of Science, The University of Hong Kong, Hong Kong, Hong Kong SAR (GRID:grid.194645.b) (ISNI:0000000121742757)