weighted_endemism

<code>weighted_endemism</code> is species richness inversely weighted
by species ranges.

bioregion

Computational infrastructure for biogeography, community ecology,
and biodiversity conservation (Daru et al. 2020) <doi:10.1111/2041-210X.13478>.
It is based on the methods described in Daru et al. (2020) <doi:10.1038/s41467-020-15921-6>.
The original conceptual work is described in Daru et al. (2017) <doi:10.1016/j.tree.2017.08.013>
on patterns and processes of biogeographical regionalization. Additionally, the package
contains fast and efficient functions to compute more standard conservation measures
such as phylogenetic diversity, phylogenetic endemism, evolutionary distinctiveness
and global endangerment, as well as compositional turnover (e.g., beta diversity).

Barnabas H. Daru

phyloregion

Biogeographic Regionalization and Macroecology

Piyal Karunarathne

Klaus Schliep

Xiaobei Zhao

Albin Sandelin

Luciano Pataro

weighted_endemism function

<dl><dt>x</dt>
<dd>A (sparse) community matrix.</dd></dl>

Arguments

Measure the distribution of narrow-ranged or endemic species. — weighted_endemism

<dl>

<dt>x</dt>
<dd>A (sparse) community matrix.</dd>

</dl>

weighted_endemism: Measure the distribution of narrow-ranged or endemic species.

Description

Usage

Value

Arguments

References

Examples