calc_RRs_Chambers2014: Determine resilience & resistance classes (sensu Chambers et...

View source: R/SoilMoistureTemperatureRegimes.R

calc_RRs_Chambers2014R Documentation

Determine resilience & resistance classes (sensu Chambers et al. 2014) based on soil moisture and soil temperature regimes

Description

Determine resilience & resistance classes (sensu Chambers et al. 2014) based on soil moisture and soil temperature regimes

Usage

calc_RRs_Chambers2014(Tregime, Sregime, MAP_mm)

Arguments

Tregime

A named numeric vector. The soil temperature regime “STR” element of the return object of calc_SMTRs.

Sregime

A named numeric vector. The soil moisture regime “SMR” element of the return object of calc_SMTRs.

MAP_mm

A numeric value. The mean annual precipitation in millimeters.

Value

A named numeric vector of 0s and 1s indicating the matching resilience and resistance class. Note: All elements may be 0 if the input soil moisture/temperature regimes are not covered by Chambers et al. 2014.

References

Chambers, J. C., D. A. Pyke, J. D. Maestas, M. Pellant, C. S. Boyd, S. B. Campbell, S. Espinosa, D. W. Havlina, K. E. Mayer, and A. Wuenschel. 2014. Using Resistance and Resilience Concepts to Reduce Impacts of Invasive Annual Grasses and Altered Fire Regimes on the Sagebrush Ecosystem and Greater Sage-Grouse: A Strategic Multi-Scale Approach. Gen. Tech. Rep. RMRS-GTR-326. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO.

Examples

# Calculate soil moisture and soil temperature regimes
sw_in <- rSOILWAT2::sw_exampleData
sw_out <- rSOILWAT2::sw_exec(inputData = sw_in)
SMTR <- calc_SMTRs(sim_in = sw_in, sim_out = sw_out)

# Determine average across years and set aggregation agreement level
Tregime <- colMeans(SMTR[["STR"]]) >= 0.9
Sregime <- colMeans(SMTR[["SMR"]]) >= 0.9

# Calculate resilience and resistance categories
clim <- rSOILWAT2::calc_SiteClimate(
  weatherList = rSOILWAT2::get_WeatherHistory(sw_in)
)
calc_RRs_Chambers2014(Tregime, Sregime, MAP_mm = 10 * clim[["MAP_cm"]])


DrylandEcology/rSW2funs documentation built on June 28, 2023, 2:51 a.m.