Abstract
Leaf respiration in the dark (Rdark) and light (Rday) is poorly characterized in diverse tropical ecosystems, and little to no information exists on the degree of light suppression in common tree species within the Amazon basin, and their dependences upon plant functional traits and position within the canopy. We quantified Rdark and apparent Rday using the Kok method and measured key leaf traits in 26 tree individuals of different species distributed in three different canopy positions: canopy, lower canopy, and understory. To explore the relationships between the leaf traits we used the standardized major axis (SMA). We found that canopy trees had significantly higher rates of Rdark and Rday than trees in the understory. The difference between Rdark and Rday (the light suppression of respiration) was greatest in the understory (68 ± 9%, 95% CI) and lower canopy (49 ± 9%, 95% CI) when compared to the canopy (37 ± 10%, 95% CI). We also found that Rday was significantly and strongly correlated with Rdark (p < 0.001) for all the canopy positions. Also, leaf mass per area (LMA) and leaf Phosphorus concentration (P) had a significant relationship with Rdark (p < 0.001; p = 0.003), respectively. In addition, a significant relationship was found for LMA in the canopy and lower canopy positions (p = 0.009; p = 0.048) while P was only significant in the canopy (p = 0.044). Finally, no significant relationship was found between Rdark and nitrogen, sugars, and starch. Our results highlight the importance of including representation of the light suppression of leaf respiration in terrestrial biosphere models and also of accounting for vertical gradients within forest canopies and connections with functional traits.
Original language | English |
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Article number | 723539 |
Journal | Frontiers in Forests and Global Change |
Volume | 4 |
DOIs | |
State | Published - Sep 30 2021 |
Funding
Logistical and scientific support is acknowledged by the Forest Management laboratory (LMF), Tropical Forest Science (CFT) and Large Scale Biosphere-Atmosphere (LBA) programs at the National Institute for Amazon Research (INPA). The assistance of Sidnei Pereira in the field is acknowledged. We would also like to acknowledge Pacific Northwest National Laboratory for NSC analysis. This material is based upon work supported as part of the Next Generation Ecosystem Experiments-Tropics (NGEE-Tropics) funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research’s Terrestrial Ecosystem Science Program through contracts No. DE-AC02-05CH11231 to LBNL, No. DESC0012704 to BNL, and No. DE-AC05-1008 00OR22725 to ORNL (managed by UT-Battelle, LLC, for the DOE). Additional funding for this research was provided by the Brazilian Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
Keywords
- Kok method
- R
- R
- carbon cycle
- leaf traits
- tropical forest