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Scaling foliar respiration to the stand level throughout the growing season in a Quercus rubra forest
Journal article   Peer reviewed

Scaling foliar respiration to the stand level throughout the growing season in a Quercus rubra forest

Cheng Yuan Xu and K L Griffin
Tree Physiology, Vol.28(4), pp.637-646
2008
url
https://doi.org/10.1093/treephys/28.4.637View
Published Version

Abstract

Forestry Sciences Plant Biology Ecology canopy carbon loss dark respiration thermal acclimation
Stand-level, canopy foliar carbon loss (Rcan) was modeled for a virtual Quercus rubra L. monoculture at two sites differing in soil water availability in a northeastern deciduous forest (USA) throughout the 2003 growing season. Previously reported foliar respiratory temperature responses of Q. rubra were used to parameterize a full distributed physiology model that estimates Rcan by integrating the effects of season, site and canopy position, and represents the best estimation of Rcan. Model sensitivity to five simplified parameterization scenarios was tested, and a reasonable procedure of simplification was established. Neglecting effects of season, site or canopy position on respiration causes considerable relative error in Rcan estimation. By contrast, assuming a constant E0 (a temperature response variable of the respiration model), or a constant night temperature (mean nighttime temperature) caused only a small relative error (less than 10%) compared with the full model. From June 8 to October 28, 2003, modeled Rcan of the virtual Q. rubra monoculture was, on average, 45.3 mmol CO2 m-2 night-1 on a ground-area basis (or 334 mmol CO2 kg-1 night-1 on a biomass basis) and 101 mmol CO2 m-2 night-1 (or 361 mmol CO2 kg-1 night-1) at the drier site and the more mesic site, respectively. To model Rcan of Q. rubra (or other Quercus species with similar respiratory properties), variations in the base respiration rate across season, site and canopy position need to be fully accounted for, but E0 may be assumed constant. Modeling Rcan at the mean nighttime temperature would not strongly affect estimated canopy carbon loss.

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