On Measuring And Modeling Energy Fluxes Above The Floor Of A Homogeneous And Heterogeneous Conifer Forest

  • Sites: CA-Ojp, US-Me4
  • Baldocchi, D. D., Law, B. E., Anthoni, P. M. (2000/05) On Measuring And Modeling Energy Fluxes Above The Floor Of A Homogeneous And Heterogeneous Conifer Forest, Agricultural And Forest Meteorology, 102(2-3), 187-206. https://doi.org/10.1016/s0168-1923(00)00098-8
  • Funding Agency: —

  • Information on mass and energy exchange at the soil surface under vegetation is a critical component of micrometeorological, climate, biogeochemical and hydrological models. Under sparse boreal and western conifer forests as much as 50% of incident solar energy reaches the soil surface. How this energy is partitioned into evaporating soil moisture, heating the air and soil remains a topic of scientific inquiry, as it is complicated by such factors as soil texture, litter, soil moisture, available energy, humidity deficits and turbulent mixing.

    Fluxes of mass and energy near the forest floor of a temperate ponderosa pine and a boreal jack pine stand were evaluated with eddy covariance measurements and a micrometeorological soil/plant/atmosphere exchange model. Field tests showed that the eddy covariance method is valid for studying the mean behavior of mass and energy exchange below forest canopies. On the other hand, large shade patches and sunflecks, along with the intermittent nature of atmospheric turbulence, cause run-to-run variability of mass and energy exchange measurements to be large.

    In general, latent heat flux densities are a non-linear function of available energy when the forest floor is dry. Latent heat flux densities (λE) are about one-quarter of available energy, when this energy is below 100 W m−2. Latent heat flux density (λE) peaks at about 35 W m−2 when available energy exceeds this threshold. A diagnosis of measurements with a canopy micrometeorological model indicates that the partitioning of solar energy into sensible, latent and soil heat flux is affected by atmospheric thermal stratification, surface wetness and the thickness of the litter layer.