Description Usage Arguments Value References Examples
View source: R/thibaut_connolly_dsr.r
Calculate the Thibaut and Connolly diversity-stability relationship
1 | thibaut_connolly_dsr(x, synchrony, z, overyielding)
|
x |
A matrix or dataframe of abundance or biomass data. The columns should represent different subpopulations or species. The rows should represent the values through time. |
synchrony |
The Loreau and de Mazencourt synchrony index. See
|
z |
Taylor's power law exponent from variance = c * mean^z.
See |
overyielding |
The overyielding coefficient. This reflects the increase in abundance or biomass with increasing diversity and is relevant to community portfolio effects. |
A list containing the CV of the observed community
(portfolio) cv_p
expected CV of the community in monoculture
cv_1
and the ratio of the monoculture CV to the observed
community or portfolio CV pe
.
Thibaut, L.M. & Connolly, S.R. (2013). Understanding diversity-stability relationships: towards a unified model of portfolio effects. Ecology Letters, 16, 140-150.
1 2 | dat = data.frame(x1 = rnorm(20, 10), x2 = rnorm(20, 10), x3 = rnorm(20,10))
thibaut_connolly_dsr(dat, synchrony = 0.7, z = 2, overyielding = 1)
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