diat_lobo: Calculates the Lobo Index (LOBO)

In diathor: Calculate Ecological Information and Diatom Based Indices

Calculates the Lobo Index (LOBO)

Description

The input for all of these functions is the resulting dataframe (resultLoad) obtained from the diat_loadData() function A CSV or dataframe cannot be used directly with these functions, they have to be loaded first with the diat_loadData() function so the acronyms and species' names are recognized References for the index:

• Lobo, E. A., Callegaro, V. L. M., & Bender, E. P. (2002). Utilização de algas diatomáceas epilíticas como indicadoras da qualidade da água em rios e arroios da Região Hidrográfica do Guaíba, RS, Brasil. Edunisc.

• Lobo, E. A., Bes, D., Tudesque, L., & Ector, L. (2004). Water quality assessment of the Pardinho River, RS, Brazil, using epilithic diatom assemblages and faecal coliforms as biological indicators. Vie et Milieu, 54(2-3), 115-126.

Sample data in the examples is taken from:

• Nicolosi Gelis, María Mercedes; Cochero, Joaquín; Donadelli, Jorge; Gómez, Nora. 2020. "Exploring the use of nuclear alterations, motility and ecological guilds in epipelic diatoms as biomonitoring tools for water quality improvement in urban impacted lowland streams". Ecological Indicators, 110, 105951. https://doi:10.1016/j.ecolind.2019.105951

Usage

diat_lobo(resultLoad, maxDistTaxa = 2)

Arguments

resultLoad	The resulting list obtained from the diat_loadData() function
maxDistTaxa	Integer. Number of characters that can differ in the species' names when compared to the internal database's name in the heuristic search. Default = 2

Examples

# Example using sample data included in the package (sampleData):
data("diat_sampleData")
# First, the diat_loadData() function has to be called to read the data
# The data will be stored into a list (loadedData)
# And an output folder will be selected through a dialog box if resultsPath is empty
# In the example, a temporary directory will be used in resultsPath
df <- diat_loadData(diat_sampleData, resultsPath = tempdir())
loboResults <- diat_lobo(df)

diathor documentation built on March 18, 2022, 7:25 p.m.