extrapolateEstimate {redlistr}

Extrapolate Estimate

Description

extrapolateEstimate uses rates of decline from getDeclineStats to extrapolate estimates to a given time

Usage

extrapolateEstimate(A.t1, year.t1, nYears, ARD = NA, PRD = NA, ARC = NA)

Arguments

A.t1

Area at time t1

year.t1

Year of time t1

nYears

Number of years since t1 for prediction. Use negative values for backcasting

ARD

Absolute rate of decline

PRD

Proportional rate of decline

ARC

Annual rate of change

Value

A dataframe with the forecast year, and a combination of:

• Values as extrapolated with absolute rate of decline (ARD)

• Values as extrapolated with proportional rate of decline (PRD)

• Values as extrapolated with annual rate of change (ARC)

Author(s)

Nicholas Murray [e-mail], Calvin Lee [e-mail]

References

Bland, L.M., Keith, D.A., Miller, R.M., Murray, N.J. and Rodriguez, J.P. (eds.) 2016. Guidelines for the application of IUCN Red List of Ecosystems Categories and Criteria, Version 1.0. Gland, Switzerland: IUCN. ix + 94pp. Available at the following web site: https://iucnrle.org/

See Also

Other change_functions: futureAreaEstimate(), sequentialExtrapolate()

Examples

a.r1 <- 23.55
a.r2 <- 15.79
decline.stats <- getDeclineStats(a.r1, a.r2, year.t1 = 1990, year.t2 = 2012,
                                 methods = 'PRD')
a.2040.PRD <- extrapolateEstimate(a.r1, a.r2, year.t1 = 1990, nYears = 50,
                                  PRD = decline.stats$PRD)