A 'type' refers to either a (main) habitat type, a
habitat subtype or a regionally important biotope (RIB).
The function reads the data into the current R session if file exists.
If the file does not exist, it will attempt to download it and read it
after the download has completed.
The original source for the data is Van Calster et al. (2020).
read_favenv( file = file.path(locate_n2khab_data(), "10_raw/favenv", paste0("VanCalster_etal_2020_Gunstig_abiotisch_bereik_per_milieuvariabele", "_en_habitatsubtype_v01_00.txt")), version = c("favenv_v1.0"), lang = c("nl") )
| file | The absolute or relative file path of the data source.
The default follows the data management advice in the
vignette on data storage (run |
|---|---|
| version | Version ID of the data source. Defaults to the latest available version defined by the package. |
| lang | An
IETF BCP 47 language tag, such as |
A tibble.
The first row is a column header and represents the variable name. The following list provides a brief description for each variable:
type: Natura 2000 (sub)type habitat code
subspecification: code/name of possible vegetation variants.
For aquatic habitats: this is the watertype as used in the Water Framework
Directive and thus also in the Flemish law texts (main use of this field).
In other cases: a subtype that is not officially recognized in the list of
Natura 2000 habitat subtypes in Flanders, for instance a phytosociological
association or a variant like acidophilous or calcarophilous, ...
compartment: soil, groundwater, inundation water (flooding with
water of external origin), water column/surface water, air
variable: name of the environmental variable.
abbreviation: abbreviation used for the environmental variable
unit: unit used for the environmental variable
summary_statistic: for aquatic types, measurements are first summarized
using certain statistics such as percentiles, mean, etc. (in accordance with
Water Framework Directive-Integrated Water Policy Objectives)
range_type: range type
LL-UL: lower limit-upper limit
10-90 perc: 10-90 percentile values
min-max: minimum - maximum
< - >: less than - greater than
environmental_range: overall measurement range of an environmental variable
within which a habitat type can function sustainably:
environmental_range: range as text field
lower_limit_text - upper_limit_text: lower and upper limit as text field
lower_limit - upper_limit: lower and upper limit as numerical value
(where conversion was possible)
n_favourable: number of test plots in favourable conservation status used
for the calculation. The definition of favourable conservation status is
based on Oosterlynck et al. (2020, version 3).
status: source and method by which the range was derived:
Dp: ranges calculated with INBO data, prediction intervals, local conservation status (LCS) known
Dt: ranges determined using Titan method (Baker & King 2010), LCS unknown
Dk: ranges calculated with INBO data, quantiles, insufficient data to calculate prediction intervals
Lg: ranges derived from literature (LCS clearly indicated)
Lk: ranges derived from literature (LCS derived, based on site characteristics)
reference: references based on which the abiotic range was determined
remarks: remarks
changes: whether this record has been modified compared to Van Calster
et al. (2020) and how
Van Calster H., Cools N., De Keersmaeker L., Denys L., Herr C., Leyssen A., Provoost S., Vanderhaeghe F., Vandevoorde B., Wouters J. en M. Raman (2020). Gunstige abiotische bereiken voor vegetatietypes in Vlaanderen. Rapporten van het Instituut voor Natuur- en Bosonderzoek 2020 (44). Instituut voor Natuur- en Bosonderzoek, Brussel. DOI: doi.org/10.21436/inbor.19362510D
Oosterlynck P., De Saeger S., Leyssen A., Provoost S., Thomaes A., Vandevoorde B., Wouters J., & Paelinckx D. (2020). Criteria voor de beoordeling van de lokale staat van instandhouding van de Natura2000 habitattypen in Vlaanderen. Rapporten van het Instituut voor Natuur- en Bosonderzoek 2020 (27). Instituut voor Natuur- en Bosonderzoek, Brussel. DOI: doi.org/10.21436/inbor.14061248
if (FALSE) { favenv <- read_favenv() }