Retrieve specific trait values at a high taxonomic level.
GIFT_traits_tax(
trait_IDs = "",
agreement = 0.66,
bias_ref = TRUE,
bias_deriv = TRUE,
api = "https://gift.uni-goettingen.de/api/extended/",
GIFT_version = "latest"
)
A long-format data frame with 7 columns: taxon_ID
, taxon_name
,
trait_value
, agreement
, references
and negative
.
a character string indicating which trait you want to retrieve. Traits must belong to the available list of traits.
Percentage of resources that agree on an aggregated trait value, entries below this threshold will be omitted.
When FALSE
, exclude entries that are only based on a
resource that potentially introduces a bias (e.g. a resource only including
trees).
When FALSE
, exclude entries that are only based on a
derivation that potentially introduces a bias (e.g. all phanerophytes being
woody but some life forms being ambiguous).
character string defining from which API the data will be retrieved.
character string defining the version of the GIFT
database to use. The function retrieves by default the latest
stable
version. If set to beta
, the most up-to-date version which is still
subject to changes and edits is used.
Here is the detail of each column:
taxon_ID - Identification number of the taxon
taxon_name - Name of the taxon
agreement - Agreement score between the different sources for that
trait value, only for categorical traits
references - Source of the trait values (ref_ID
)
negative - Does the record indicate the absence of trait value in
taxon_ID
and then one column per trait with the respective trait values
Denelle, P., Weigelt, P., & Kreft, H. (2023). GIFT—An R package to
access the Global Inventory of Floras and Traits. Methods in Ecology
and Evolution, 14, 2738-2748.
https://doi.org/10.1111/2041-210X.14213 Weigelt, P, König, C, Kreft, H. GIFT – A Global Inventory of Floras and
Traits for macroecology and biogeography. J Biogeogr. 2020; 47: 16– 43.
https://doi.org/10.1111/jbi.13623
GIFT_traits_meta()
# \donttest{
ex <- GIFT_traits_tax(trait_IDs = c("1.2.1", "1.4.1"),
bias_ref = FALSE, bias_deriv = FALSE)
# }
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