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Characteristics of a sample of West African rivers.

Format

A data frame of 39 observations on the following 6 variables:

river

name of the river.

richness

fish species richness.

surface

surface area in \(km^2\).

disch

mean annual discharge in \(\frac{m^3}{s}\).

vegdiv

terrestrial vegetation diversity (Shannon's diversity index of vegetation in drainage).

forperc

percentage of drainage area covered by lowland rain forest.

Source

From Table 1 in Hugueny, B. 1989. West African rivers as biogeographic islands: species richness of fish communities. Oecologia 79:236-243. CSV file

Topic(s)

  • Other

Examples

data(AfricanRivers)
str(AfricanRivers)
#> 'data.frame':	39 obs. of  6 variables:
#>  $ river   : Factor w/ 39 levels "Agnebi","Bandama",..: 23 33 9 36 12 11 10 34 17 15 ...
#>  $ richness: int  127 110 89 55 74 58 65 61 44 45 ...
#>  $ surface : int  3349000 441000 77000 23200 16470 7540 7750 19050 18760 8260 ...
#>  $ disch   : int  2640 687 170 NA 353 NA NA NA NA NA ...
#>  $ vegdiv  : num  2.62 0.97 0.5 NA 0 NA NA NA NA NA ...
#>  $ forperc : int  8 3 20 NA 100 NA NA NA NA NA ...
head(AfricanRivers)
#>      river richness surface disch vegdiv forperc
#> 1     Nile      127 3349000  2640   2.62       8
#> 2  Senegal      110  441000   687   0.97       3
#> 3   Gambia       89   77000   170   0.50      20
#> 4   Tomine       55   23200    NA     NA      NA
#> 5 Konkoure       74   16470   353   0.00     100
#> 6  Kolente       58    7540    NA     NA      NA