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The incorporation of Landsat Thematic Mapper data coupled with a physiologically based productivity model (PnET), soil water holding capacity, and historic and projected climatic data provides an opportunity to enhance field plot based forest inventory and monitoring methodologies.
Sensitivity analyses consisting of comparative simulations using the model show that soil characteristics, like water holding capacity, influence SM in the root zone and affect seasonal total ET estimates at the climatological time-scale.
Evapotranspiration rates for the reference conditions were estimated using a monthly water budget model that integrates the roles of the soil water holding capacity and a climate-driven evaporative coefficient (k) representing the mean annual conductance of the vegetation canopy.
PICUS3G requires plant-available nitrogen (kg/ha) and water holding capacity (mm) as well as temperature, precipitation, vapor pressure deficit, and radiation data at monthly resolution as model drivers.
The SWAT model was modified to better represent NO3 cycling in soils with various degrees of water holding capacity.
The model allows to calculate the role of the antecedent precipitation index and the soil water holding capacity in the runoff yield.
These hydrogels exhibited appreciable water holding capacity.
In this paper, spatial variability is modelled using a random field and coupled with finite element analysis to obtain a probabilistic characterisation of holding capacity.
Rainfall, potential evapotranspiration and soil water holding capacity are input.
One of these properties is water holding capacity (WHC).
Our vineyard soils vary greatly in their water holding capacity.
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