hill_func_parti {hillR} | R Documentation |
Decompostion of functional diversity through Hill Numbers
Description
Calculate functional gamma, alpha, and beta diversity for all communities, as well as site similarity. These values are based on ALL communities.
Usage
hill_func_parti(
comm,
traits,
traits_as_is = FALSE,
q = 0,
base = exp(1),
check_data = TRUE,
rel_then_pool = TRUE,
ord = c("podani", "metric"),
stand_dij = FALSE,
show_warning = TRUE
)
Arguments
comm |
A data frame of vegetation data. Sites as rows, species as columns. |
traits |
A data frame of species functional traits data. Species as rows, traits as columns. It can include both continuous and categorical data. It will be transformed into a distance matrix using 'FD::gowdis(traits)'. If all traits are numeric, then it will use Euclidean distance. |
traits_as_is |
if |
q |
Hill number, |
base |
default is |
check_data |
whether to check data first? Default is |
rel_then_pool |
default is |
ord |
ord in |
stand_dij |
whether to standardize distance matrix to have max value of 1? Default is |
show_warning |
whether to print warning, default is |
Value
a data frame with one row (across all sites), including these columns: q, RaoQ of pooled assemblage, gamma diversity, alpha diversity, beta diversity, local species overlap (similar to Sorensen), and region species overlap (similar to Jaccard). See Chiu and Chao 2014 Table 3 for more information.
References
Chao, Anne, Chun-Huo Chiu, and Lou Jost. Unifying Species Diversity, Phylogenetic Diversity, Functional Diversity, and Related Similarity and Differentiation Measures Through Hill Numbers. Annual Review of Ecology, Evolution, and Systematics 45, no. 1 (2014): 297–324. <doi:10.1146/annurev-ecolsys-120213-091540>.
Chiu, Chun-Huo, and Anne Chao. Distance-Based Functional Diversity Measures and Their Decomposition: A Framework Based on Hill Numbers. PLoS ONE 9, no. 7 (July 7, 2014): e100014. <doi:10.1371/journal.pone.0100014>.
See Also
Examples
dummy = FD::dummy
hill_func_parti(comm = dummy$abun, traits = dummy$trait, q = 0)
hill_func_parti(comm = dummy$abun, traits = dummy$trait, q = 1)
hill_func_parti(comm = dummy$abun, traits = dummy$trait, q = 0.9999)
hill_func_parti(comm = dummy$abun, traits = dummy$trait, q = 2)
hill_func_parti(comm = dummy$abun, traits = dummy$trait, q = 3)