H2fun: Specialisation of a bipartite web.

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Calculates the overall level of specialisation of all interacting species in a bipartite web.

Usage

1
H2fun(web, H2_integer=TRUE)

Arguments

web

A matrix representing the interactions observed between higher trophic level species (columns) and lower trophic level species (rows). Usually this will be number of pollinators on each species of plants or number of parasitoids on each species of prey.

H2_integer

logical; indicates whether web entries are integer numbers. If set to false, H2fun can be used also on rates, percentages and other non-integer values indicating the intensity of an interaction.

Details

H2' is an index describing the level of “complementarity specialisation” (or should one say: selectiveness?) of an entire bipartite network (Blüthgen et al. 2006). It describes to which extent observed interactions deviate from those that would be expected given the species marginal totals. The more selective a species, the larger is H2' for the web.

H2' is an extension of d' (see dfun) for the entire network.

For non-integer values, H2 max can be readily computed and is thus more reliable and much faster.

For internet implementation see also: http://www.sys-bio.net/resources.

Value

H2

The H2'-value for the web matrix.

H2min

Heuristic minimum H2-value for the web matrix.

H2max

Heuristic maximum H2-value for the web matrix.

H2uncorr

Uncorrected H2-values (before ranging between min and max), rounded to three digits.

Author(s)

Carsten F. Dormann and Jochen Fründ

References

Blüthgen, N., Menzel, F. and Blüthgen, N. (2006) Measuring specialization in species interaction networks. BMC Ecology 6, 9.

See Also

dfun following the same idea for each species in the web matrix.

Examples

1
2

bipartite documentation built on May 19, 2017, 11:36 p.m.

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