Set of functions used to calculate tissue moisture from water potential and viceversa.
moisture_symplasticRWC(psiSym, pi0, epsilon)
moisture_symplasticPsi(RWC, pi0, epsilon)
moisture_apoplasticRWC(psiApo, c, d)
moisture_apoplasticPsi(RWC, c, d)
moisture_turgorLossPoint(pi0, epsilon)
moisture_tissueRWC(psiSym, pi0, epsilon,
psiApo, c, d,
af, femb = 0)
moisture_cohortFMC(spwb, SpParams)
moisture_cohortFMCDay(spwb_day, x, SpParams)
moisture_pressureVolumeCurvePlot(x, segment="leaf",
fraction = "all",
psiVec = seq(-0.1, -8.0, by =-0.01),
speciesNames = FALSE)
Symplastic or apoplastic water potential (MPa).
Relative water content [0-1].
Full turgor osmotic potential (MPa).
Bulk modulus of elasticity (MPa).
Parameters of the xylem vulnerability curve.
Apoplastic fraction (proportion) in the segment (e.g. leaf or stem).
Fraction of embolized conduits.
An object of class spwbInput
.
Segment whose relative water content curve to plot, either "stem"
or "leaf"
.
Tissue fraction, either "symplastic"
, "apoplastic"
or "all"
.
Vector of water potential values to evaluate for the pressure-volume curve.
A flag to indicate the use of species names instead of cohort names in plots.
Object returned by function spwb_day
or growth_day
.
A data frame with species parameters (see SpParamsMED
and SpParamsMED
).
Values returned for each function are:
moisture_symplasticRWC
: Relative water content [0-1] of the symplastic fraction.
moisture_apoplasticRWC
: Relative water content [0-1] of the apoplastic fraction.
moisture_symplasticWaterPotential
: Water potential (in MPa) of the symplastic fraction.
moisture_apoplasticWaterPotential
: Water potential (in MPa) of the apoplastic fraction.
moisture_turgorLossPoint
: Water potential (in MPa) corresponding to turgor loss point.
moisture_segmentRWC
: Segment relative water content [0-1].
moisture_cohortFMC
: A matrix with daily moisture content per dry weight (in percent) of each cohort.
moisture_cohortFMCDay
: A vector with moisture content per dry weight (in percent) of each cohort.
Details of the tissue moisture calculations are given in a vignette. Function moisture_cohortFMC()
calculates the fuel moisture content of leaves of each cohort, from the results of soil water balance.
Bartlett, M.K., Scoffoni, C., Sack, L. 2012. The determinants of leaf turgor loss point and prediction of drought tolerance of species and biomes: a global meta-analysis. Ecology Letters 15: 393<U+2013>405.
H<U+00F6>ltt<U+00E4>, T., Cochard, H., Nikinmaa, E., Mencuccini, M. 2009. Capacitive effect of cavitation in xylem conduits: Results from a dynamic model. Plant, Cell and Environment 32: 10<U+2013>21.
Martin-StPaul, N., Delzon, S., Cochard, H. 2017. Plant resistance to drought depends on timely stomatal closure. Ecology Letters 20: 1437<U+2013>1447.
# NOT RUN {
psi = seq(-10,0, by=0.1)
rwc_s = rep(NA, length(psi))
for(i in 1:length(psi)) rwc_s[i] = moisture_symplasticRWC(psi[i],-3,12)
plot(psi, rwc_s, type="l", xlab="Water potential (MPa)", ylab = "Symplasmic RWC")
# }
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