4.6 Article

Forest stand complexity controls ecosystem-scale evapotranspiration dynamics: Implications for landscape flux simulations

期刊

HYDROLOGICAL PROCESSES
卷 36, 期 12, 页码 -

出版社

WILEY
DOI: 10.1002/hyp.14761

关键词

boreal forest; eddy covariance; evapotranspiration; modelling; peatland

资金

  1. Natural Environment Research Council studentship funding [NE/L501712/1]
  2. Syncrude Canada Ltd.
  3. Canadian Natural Resources Ltd. [SCL4600100599]
  4. Natural Sciences and Engineering Research Council of Canada(NSERC) Collaborative Research and Development (CRD) [CRDPJ477235-14]

向作者/读者索取更多资源

This study critically evaluates the influence of compositional and organizational complexity on evapotranspiration (ET) dynamics in open-canopy forest systems. The results demonstrate that including forest stand complexity and associated radiation variability increases ET model estimates and improves model performance.
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 similar to 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.

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