Skip to contents

Computation of Ecological indicators (Landolt, Ellenberg) from vertical point-quadrat method surveys

Source: R/ecological_indexes.R
ecological_indexes.Rd

Computation of Ecological indicators, which can be either weighted or not weighted with SRA. Occasional species can be taken into account. If occasional species are considered, SRA correspond to "SRA_SC.fo.occ" (see vegetation_abundance)

Usage

ecological_indexes(
  database.vegetation,
  database.indexes,
  occasional.species,
  species.cover.coefficient,
  weight
)

Arguments

database.vegetation

database with Frequency of occurrence (FO) and occasional species as 999 (see vegetation_abundance). Rows are species and columns are surveys. The column of species names must be imported. Database class must be data.frame

database.indexes

database with Ecological indicators, without the column of species names. NA values must indicated as 999

occasional.species

Logical. TRUE if you want to take into account occasional species. If occasional species are considered, SRA correspond to "SRA_SC.fo.occ" (see vegetation_abundance)

species.cover.coefficient

only if "occasional.species=TRUE". Coeffient that multiplies FS so that the number of total touches refer to 100

weight

Logical. TRUE if you want to weight Ecological indicators with SRA.

Value

database with Ecological indicators for each survey.

Examples

# Structure of the ecological indicator database:
# Rows represent species and columns represent ecological indicators.
# Column headings must be provided.
# The species name column must not be included.

ecological_indicators <- data.frame(
  N_Landolt = c(2, 5, 4),
  T_Landolt = c(5, 1, 999)
)

# Use 999 for species with missing ecological indicator values.

# See also the package vignettes for complete examples.