| BIEN_stem_species | R Documentation | 
BIEN_stem_species downloads occurrence records for specific species from the BIEN database.
BIEN_stem_species(
  species,
  cultivated = FALSE,
  new.world = NULL,
  all.taxonomy = FALSE,
  native.status = FALSE,
  natives.only = TRUE,
  political.boundaries = FALSE,
  collection.info = FALSE,
  all.metadata = FALSE,
  ...
)
species | 
 A single species, or a vector of species. Genus and species should be separated by a space. Genus should be capitalized.  | 
cultivated | 
 Return known cultivated records as well? Default is FALSE.  | 
new.world | 
 NULL (The default) returns global records, TRUE returns only New World, and FALSE only Old World.  | 
all.taxonomy | 
 Return all taxonomic information? This includes the raw data as well as the "scrubbed" data.  | 
native.status | 
 Return information on introduction status? The default value is FALSE. A value of TRUE also returns additional information on introduction status.  | 
natives.only | 
 Exclude detected introduced species? Default is TRUE.  | 
political.boundaries | 
 Return information on political boundaries for an observation? The default value is FALSE.  | 
collection.info | 
 Return additional information about collection and identification? The default value is FALSE.  | 
all.metadata | 
 Should additional plot metadata be returned? Default is FALSE.  | 
... | 
 Additional arguments passed to internal functions.  | 
Dataframe containing stem data for the specified species.
US FIA coordinates have been fuzzed and swapped, for more details see: https://www.fia.fs.fed.us/tools-data/spatial/Policy/index.php
Setting either "cultivated" or "native.status" to TRUE will significantly slow the speed of a query.
Other stem functions: 
BIEN_stem_datasource(),
BIEN_stem_family(),
BIEN_stem_genus(),
BIEN_stem_sampling_protocol()
## Not run: 
BIEN_stem_species("Abies amabilis")
species_vector<-c("Abies amabilis", "Acer nigrum")
BIEN_stem_species(species_vector)
BIEN_stem_species(species_vector,all.taxonomy = TRUE)
## End(Not run)
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