pwb: Plant water balance

In medfate: Mediterranean Forest Simulation

Plant water balance

Description

Function pwb() performs plant water balance only (i.e. soil moisture dynamics is an input) at daily steps for a given forest stand during a period specified in the input climatic data. It works much as spwb but imposing soil moisture dynamics. Plant transpiration and photosynthesis processes are conducted with different level of detail depending on the transpiration mode.

Usage

pwb(
  x,
  meteo,
  W,
  latitude,
  elevation,
  slope = NA_real_,
  aspect = NA_real_,
  canopyEvaporation = numeric(0),
  snowMelt = numeric(0),
  soilEvaporation = numeric(0),
  herbTranspiration = numeric(0),
  CO2ByYear = numeric(0)
)

Arguments

x	An object of class spwbInput.
meteo	A data frame with daily meteorological data series (see spwb).
W	A matrix with the same number of rows as meteo and as many columns as soil layers, containing the soil moisture of each layer as proportion of field capacity.
latitude	Latitude (in degrees).
elevation, slope, aspect	Elevation above sea level (in m), slope (in degrees) and aspect (in degrees from North).
canopyEvaporation	A vector of daily canopy evaporation (from interception) values (mm). The length should match the number of rows in meteo.
snowMelt	A vector of daily snow melt values (mm). The length should match the number of rows in meteo.
soilEvaporation	A vector of daily bare soil evaporation values (mm). The length should match the number of rows in meteo.
herbTranspiration	A vector of daily herbaceous transpiration values (mm). The length should match the number of rows in meteo.
CO2ByYear	A named numeric vector with years as names and atmospheric CO2 concentration (in ppm) as values. Used to specify annual changes in CO2 concentration along the simulation (as an alternative to specifying daily values in meteo).

Details

See details in spwb.

Value

A list of class 'pwb' with the same elements as explained in spwb.

Author(s)

• Miquel De Cáceres Ainsa, CREAF

• Nicolas Martin-StPaul, URFM-INRAE

References

De Cáceres M, Martínez-Vilalta J, Coll L, Llorens P, Casals P, Poyatos R, Pausas JG, Brotons L. (2015) Coupling a water balance model with forest inventory data to predict drought stress: the role of forest structural changes vs. climate changes. Agricultural and Forest Meteorology 213: 77-90 (doi:10.1016/j.agrformet.2015.06.012).

De Cáceres M, Mencuccini M, Martin-StPaul N, Limousin JM, Coll L, Poyatos R, Cabon A, Granda V, Forner A, Valladares F, Martínez-Vilalta J (2021) Unravelling the effect of species mixing on water use and drought stress in holm oak forests: a modelling approach. Agricultural and Forest Meteorology 296 (doi:10.1016/j.agrformet.2020.108233).

Granier A, Bréda N, Biron P, Villette S (1999) A lumped water balance model to evaluate duration and intensity of drought constraints in forest stands. Ecol Modell 116:269–283. https://doi.org/10.1016/S0304-3800(98)00205-1.

Ruffault J, Pimont F, Cochard H, Dupuy JL, Martin-StPaul N (2022) SurEau-Ecos v2.0: a trait-based plant hydraulics model for simulations of plant water status and drought-induced mortality at the ecosystem level. Geoscientific Model Development 15, 5593-5626 (doi:10.5194/gmd-15-5593-2022).

Sperry, J. S., M. D. Venturas, W. R. L. Anderegg, M. Mencuccini, D. S. Mackay, Y. Wang, and D. M. Love. 2017. Predicting stomatal responses to the environment from the optimization of photosynthetic gain and hydraulic cost. Plant Cell and Environment 40, 816-830 (doi: 10.1111/pce.12852).

See Also

spwbInput, spwb_day, plot.spwb, extract, summary.spwb, forest, spwb, aspwb

medfate documentation built on Sept. 3, 2026, 9:06 a.m.