| AMBI_species | R Documentation |
AMBI_species() returns a dataframe with list of species and AMBI group.
Called by the function AMBI() and then used to match species in observed
data and find species groups.
latest version 8th October 2024
AMBI_species(version = "")
version |
string, version of the species list to return.
The default value is the empty string ( |
The species groups, as described by Borja et al. (2000):
Group I
Species very sensitive to organic enrichment
and present under unpolluted conditions (initial state). They include the
specialist carnivores and some deposit-feeding tubicolous polychaetes.
Group II
Species indifferent to enrichment, always present in low densities with
non-significant variations with time (from initial state, to slight unbalance).
These include suspension feeders, less selective carnivores and scavengers.
Group III
Species tolerant to excess organic matter enrichment. These species
may occur under normal conditions, but their populations are stimulated by
organic enrichment (slight unbalance situations). They are surface
deposit-feeding species, such as tubicolous spionids.
Group IV
Second-order opportunistic species (slight to pronounced unbalanced
situations). Mainly small sized polychaetes: subsurface deposit-feeders,
such as cirratulids.
Group V
First-order opportunistic species (pronounced unbalanced
situations). These are deposit-feeders, which proliferate in reduced
sediments.
A data frame with 11,952 rows* and 3 columns:
Species name or genus (spp.)
Species group for AMBI index calculation: 1, 2,
3, 4 or 5. A value of 0 indicates that the
species is not assigned to a species group.
reallocatable (0 or 1), a 1 indicates that a
species could be re-assigned to a different
species group.
Borja, Á., Franco, J., Pérez, V. (2000). “A Marine Biotic Index to Establish the Ecological Quality of Soft-Bottom Benthos Within European Estuarine and Coastal Environments.” Marine Pollution Bulletin 40 (12): 1100–1114. \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.1016/S0025-326X(00)00061-8")}.
AMBI() which uses the species list to calculate the AMBI index.
AMBI_species() %>% head()
AMBI_species() %>% tail()
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