Abstract
Open-canopy forested systems are found across a range of terrestrial biomes. Forest structure and organization in open-canopy systems exhibit substantial controls on system process dynamics such as evapotranspiration (ET). The energy reaching sub-canopy forest layers is greater in open-canopy systems compared to closed canopy systems, with high spatiotemporal variability in the distribution of energy that both drives ET and controls sub canopy species composition and organization. Yet the impact of their structural complexity and organization on whole system ET dynamics is poorly understood. Using the BETA+ model and measured eddy covariance-based ET fluxes from a boreal treed peatland, we critically evaluate how stand compositional and organizational complexity influences ET dynamics. Model simulations iteratively increase complexity from a simple ‘big-leaf’ model to a model representing spatial complexity of all system layers, demonstrating the effect of each complex system component on stand ET dynamics. We show that including forest stand complexity and associated canopy and radiation variability increases ET model estimates by ~26%. In addition to changes in the ET estimates, the inclusion of this spatial complexity is shown to induce temporal variations in the simulated ET that improves model performance by reducing unexplained variance between modelled and measured ET by 10% and reducing hysteresis in model results. These results have clear implications for flux modelling of forest systems and for larger scale climate models where open canopy systems such as this dominate the landscape. Demonstrating that whilst big leaf simulation can approximate ET fluxes, the inclusion of forest-stand complexity and its influence on spatiotemporal radiation fluxes and ecohydrological processes are necessary to effectively represent ET dynamics within open canopies.
Original language | English |
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Article number | e14761 |
Number of pages | 15 |
Journal | Hydrological Processes |
Volume | 36 |
Issue number | 12 |
Early online date | 12 Nov 2022 |
DOIs | |
Publication status | Published - Dec 2022 |
Bibliographical note
Funding Information:Thanks to Adam Green, George Sutherland, Patrick Pow, Max Lukenbach and Greg Carron for collection of eddy covariance data. We thank the Government of Alberta, Alberta Environment and Parks for the 2008 lidar data (under MoU 1907M20 a partnership with Dr Danielle Cobbaert, Dr Laura Chasmer and Dr Chris Hopkinson). We also thank Dr Thomas Pugh, Professor Fred Worrall, and two anonymous reviewers for their feedback on this work. Financial support was provided by a Natural Environment Research Council studentship funding (NE/L501712/1), Syncrude Canada Ltd. and Canadian Natural Resources Ltd. (SCL4600100599 to Kevin J. Devito, Richard M. Petrone, Carl Mendoza, Nicholas Kettridge and James Michael Waddington) and Natural Sciences and Engineering Research Council (NSERC‐CRD, CRDPJ477235‐14 to Kevin J. Devito, Richard M. Petrone, Carl Mendoza and James Michael Waddington).
Publisher Copyright:
© 2022 The Authors. Hydrological Processes published by John Wiley & Sons Ltd.
Keywords
- boreal forest
- eddy covariance
- evapotranspiration
- modelling
- peatland
ASJC Scopus subject areas
- Water Science and Technology