Description Usage Arguments Details Value Examples
View source: R/SuessR_Package.R
The reg.uptake() function calculates the regional uptake constant required to modify the global Suess effect curve to be region-specific.
1 | reg.uptake(year1, year2, d13c.change)
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year1 |
The year in which samples were collected for the first set of DIC δ13C |
year2 |
The year in which samples were collected for the second set of DIC δ13C |
d13c.change |
The observed change in DIC δ13C between the two years. |
This function calculates the regional uptake constant used to modify the global Suess effect curve to make it specific to a region. This method requires δ13C values for DIC from the area of interest from two different time points, ideally separated by at least a decade. The function uses the magnitude (i.e., absolute value) of the observed change in DIC δ13C ('d13c.change'), the year of the first observation ('year1'), and the year of the second observation ('year2') to calculate the regional uptake constant. This value can then be supplied as part of the 'custom.region.data' argument (filling a column titled 'up.con') for the SuessR.custom() function.
Returns a numerical value representing the regional uptake constant. This value can be supplied as part of the 'custom.region.data' (filling a column titled 'up.con') argument for the SuessR.custom() function.
1 2 3 4 5 | year1 <- 1970
year2 <- 1980
d13c.change <- 0.3
reg.uptake(year1 = year1, year2 = year2, d13c.change = d13c.change)
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