dehli | R Documentation |
This function calculates the Average Score Per Taxon index following Armitage et al. (1983), Davy-Bowker et al. (2007) and Alba-Tercedor & Sanchez-Ortega (1988) implementations.
dehli(x, method = "chadd_2017", agg = TRUE, exceptions = NULL, traceB = FALSE)
x |
Result of |
method |
The implementation of DEHLI needed to calculate ASPT. The only choice is |
agg |
This option allows the composite family approach. It can be |
exceptions |
Taxa that need to be excluded from the calculation. This option can be useful, for instance, to exclude an alien species belonging to an autochthonous family. |
traceB |
If set to |
The DEHLI index measures the effect of flow intermittency on the macroinvertebrate community. It assigning weights to taxa on the basis of their likely association with key stages of channel drying. DEHLI is the average score of the taxa receiving a score, similary to aspt.
The follwing composite taxa are used:
Philopotamus (inc. Wormaldia)
Brachyptera (inc. Rhabdiopteryx)
Protonemura (inc. Amphinemura)
Protonemura (inc. Nemurella)
Habrophlebia (inc. Leptophlebia)
The dehli()
function automatically check for parent-child pairs in the scoring system, see the Value section for a definition.
All the information used for dehli()
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
Result of dehli()
.
taxa_df
The data.frame
used for the calculation containing the abundance of taxa receiving a score.
composite_taxa
Taxa aggregated following the aggregation rules when agg
is not NULL
.
exceptions
A data.frame
containing the changes made by excluding the taxa included in exceptions
.
parent_child_pairs
For instance in Spanish ASPT both Ferrissia and Planorbidae receive a score.
Abundances of the higher taxonomic level need therefore to be adjusted by subtracting the abundances of the lower taxonomic level.
Chadd, R. P., England, J. A., Constable, D., Dunbar, M. J., Extence, C. A., Leeming, D. J., Murray-Bligh Wood J.A., P. J. (2017). An index to track the ecological effects of drought development and recovery on riverine invertebrate communities. Ecological Indicators, 82, 344-356.
aggregate_taxa bmwp
data(macro_ex)
data_bio <- as_biomonitor(macro_ex)
data_agr <- aggregate_taxa(data_bio)
dehli(data_agr)
dehli(data_agr)
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