Seasonal and drought‐related changes in leaf area profiles depend on height and light environment in an Amazon forest
0301 basic medicine
leaf area
Light
Plant Biology & Botany
Plant Biology
LiDAR remote sensing
forest canopy structure
Forests
phenology
Ecological applications
03 medical and health sciences
Amazon forest
El Nino drought
El Niño drought
Plant biology
El Nino-Southern Oscillation
Ecology
Agricultural and Veterinary Sciences
Biological Sciences
15. Life on land
6. Clean water
Droughts
Plant Leaves
climate change
Climate change impacts and adaptation
13. Climate action
Seasons
Brazil
DOI:
10.1111/nph.15726
Publication Date:
2019-02-05T14:37:58Z
AUTHORS (18)
ABSTRACT
Summary
Seasonal dynamics in the vertical distribution of leaf area index (LAI) may impact the seasonality of forest productivity in Amazonian forests. However, until recently, fine‐scale observations critical to revealing ecological mechanisms underlying these changes have been lacking.
To investigate fine‐scale variation in leaf area with seasonality and drought we conducted monthly ground‐based LiDAR surveys over 4 yr at an Amazon forest site. We analysed temporal changes in vertically structured LAI along axes of both canopy height and light environments.
Upper canopy LAI increased during the dry season, whereas lower canopy LAI decreased. The low canopy decrease was driven by highly illuminated leaves of smaller trees in gaps. By contrast, understory LAI increased concurrently with the upper canopy. Hence, tree phenological strategies were stratified by height and light environments. Trends were amplified during a 2015–2016 severe El Niño drought.
Leaf area low in the canopy exhibited behaviour consistent with water limitation. Leaf loss from short trees in high light during drought may be associated with strategies to tolerate limited access to deep soil water and stressful leaf environments. Vertically and environmentally structured phenological processes suggest a critical role of canopy structural heterogeneity in seasonal changes in Amazon ecosystem function.
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