epsi | R Documentation |
This function calculates the Empyrically-weighted Proportion of Sediment-sensitive Invertebrates index (ePSI) according to the most recent version used in UK.
epsi(
x,
method = "uk",
agg = FALSE,
abucl = c(1, 9, 99, 999),
exceptions = NULL,
traceB = FALSE
)
x |
Results of |
method |
The only avialble method is |
agg |
Default to |
abucl |
Log abundance categories. Tresholds are set to 1, 9, 99, 999. |
exceptions |
Taxa that need to be exluded from the calculation.
This option can be useful, for instance, to exclude an alien species belonging to an autochthonous family.
|
traceB |
If set to |
epsi()
implementation take into account composite taxa as follow:
Tipulidae (inc. Limoniidae, Pediciidae & Cylindrotomidae)
Siphlonuridae (inc. Ameletidae)
Hydrophilidae (inc. Georissidae, Helophoridae & Hydrochidae)
epsi()
automatically check for parent-child pairs in the scoring system, see the return section for a definition.
All the information used for epsi()
calculation can be retrieved with the function show_scores
.
If traceB
is set to TRUE
a list with the following elements will be returned:
results
Results of epsi()
.
taxa_df
The data.frame
used for the calculation containing the abundance of taxa receiving a score.
epsi_df
The data.frame
used for the calculation containing scores and abundance classes for each site.
composite_taxa
Taxa aggregated following the aggregation of the default method or set in agg
.
exceptions
A data.frame
containing the containing changes made by excluding the taxa included in exceptions
.
parent_child_pairs
Parent-child pairs are not present in the default implementation of epsi. A data.frame
if both a taxon and a parent
taxon receive a score.
We thank Carol Fitzpatrick, Richard Chadd, Judy England and Rachel Stubbington for providing us with the most updated ePSI scores and algorithms.
Turley MD, Bilotta GS, Chadd RP, Extence CA, Brazier RE, Burnside NG, Pickwell AG. 2016. A sediment-specific family-level biomonitoring tool to identify the impacts of fine sediment in temperate rivers and streams. Ecological Indicators 70, 151-165.
Turley MD, Bilotta GS, Krueger T, Brazier RE, Extence CA. 2015. Developing an improved biomonitoring tool for fine sediment: combining expert knowledge and empirical data. Ecological indicators 54, 82-86.
aggregate_taxa
data(macro_ex)
data_bio <- as_biomonitor(macro_ex)
data_agr <- aggregate_taxa(data_bio)
epsi(data_agr)
# provide your own score sistem. Scores and aggregation rules are for example purpose only.
epsi_scores <- data.frame(
Taxon = c("Ephemerellidae", "Leuctridae", "Chironomidae"),
Scores = c(0.1, 0.5, 0.2)
)
epsi_acc <- data.frame(Taxon = "Ephemerellidae", Correct_Taxon = "Chironomidae")
epsi(data_agr, method = epsi_scores, agg = epsi_acc, traceB = TRUE)
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