Evaluation of forest canopy models for estimating isoprene emissions
Author(s) -
Lamb Brian,
Pierce Thomas,
Baldocchi Dennis,
Allwine Eugene,
Dilts Steve,
Westberg Hal,
Geron Christopher,
Guenther Alex,
Klinger Lee,
Harley Peter,
Zimmerman Pat
Publication year - 1996
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/96jd00056
Subject(s) - canopy , atmospheric sciences , environmental science , transpiration , isoprene , biomass (ecology) , meteorology , photosynthesis , botany , ecology , chemistry , geology , physics , organic chemistry , copolymer , biology , polymer
During the summer of 1992, isoprene emissions were measured in a mixed deciduous forest near Oak Ridge, Tennessee. Measurements were aimed at the experimental scale‐up of emissions from the leaf level to the forest canopy to the mixed layer. Results from the scale‐up study are compared to different canopy models for determining the leaf microclimate as input to isoprene emission algorithms. These include (1) no canopy effects, (2) a simple vertical scaling canopy model with a leaf energy balance, and (3) a numerical canopy model which accounts for leaf‐sun geometries, photosynthesis, respiration, transpiration, and gas transport in the canopy. Initial evaluation of the models was based upon a standard emission rate factor of 90 μgC g −1 hr −1 (0.42 nmol g −1 s −1 ) taken from leaf cuvette measurements and a biomass density factor of 203 g m −2 taken from biomass surveys and a flux footprint analysis. The results indicated that predicted fluxes were consistent among the models to within approximately ±20%, but that the models overestimated the mean flux by about a factor of 2 and overestimated the maximum observed flux by 30 to 50%. Adjusting the standard emission factor and biomass density each downward by 20% yielded predicted means approximately 20% greater than the observed means and predicted maxima approximately 25% less than the observed maxima. Accounting for changes in biomass density as a function of direction upwind of the tower improved the overall model performance.
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