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Output of analyzing test data with Biodiverse.

Usage

biod_results

Format

A tibble (dataframe) with 127 rows and 7 columns. Columns include:

site

Site name; corresponds to row names of biod_example$comm

pd_biodiv

Phylogenetic diversity (PD; PD_P in Biodiverse)

pd_alt_biodiv

Alternative PD (PD measured on tree with all branchlengths equal; PHYLO_RPD_NULL2 in Biodiverse)

rpd_biodiv

Relative PD (PD divided by alternative PD; PHYLO_RPD_NULL2 in Biodiverse)

pe_biodiv

Phylogenetic endemism (PE; PE_WE_P in Biodiverse)

pe_alt_biodiv

Alternative PE (PE measured on tree with all branchlengths equal; PHYLO_RPE_NULL2 in Biodiverse)

rpe_biodiv

Relative PE (PE divided by alternative PD; PHYLO_RPE2 in Biodiverse)

Details

The example_project.bps # nolint example data set was used as input,which corresponds to the biod_example dataset in this package.

For a description of all Biodiverse metrics, see the Biodiverse wiki. # nolint

References

Laffan, S.W., Lubarsky, E. & Rosauer, D.F. (2010) Biodiverse, a tool for the spatial analysis of biological and related diversity. Ecography. Vol 33, 643-647 (Version 3.1). doi:10.1111/j.1600-0587.2010.06237.x

Examples

biod_results
#> # A tibble: 127 × 7
#>    site    pd_biodiv pd_alt_biodiv rpd_biodiv pe_biodiv pe_alt_biodiv rpe_biodiv
#>    <chr>       <dbl>         <dbl>      <dbl>     <dbl>         <dbl>      <dbl>
#>  1 195000…    0.0469        0.0690      0.680   0.00661       0.00290      2.28 
#>  2 195000…    0.0469        0.0690      0.680   0.00661       0.00290      2.28 
#>  3 205000…    0.0931        0.172       0.540   0.00833       0.00504      1.65 
#>  4 205000…    0.0469        0.0690      0.680   0.00661       0.00290      2.28 
#>  5 215000…    0.0469        0.155       0.302   0.00146       0.00236      0.620
#>  6 215000…    0.0683        0.172       0.396   0.00259       0.00327      0.793
#>  7 215000…    0.0931        0.172       0.540   0.00833       0.00504      1.65 
#>  8 225000…    0.0469        0.155       0.302   0.00173       0.00258      0.673
#>  9 225000…    0.0931        0.172       0.540   0.00806       0.00482      1.67 
#> 10 225000…    0.182         0.276       0.659   0.0109        0.00755      1.45 
#> # ℹ 117 more rows