Package 'taxify'

Description

Joins AlgaeTraits (Vranken et al. 2023) macroalgal functional traits to a taxify() result by looking up accepted_name. AlgaeTraits provides morphological, ecological, and life-history traits for European seaweeds.

Usage

add_algae_traits(x, verbose = TRUE)

Arguments

Details

Source: AlgaeTraits (Vranken et al. 2023, VLIZ Marine Data Archive, CC BY 4.0). Coverage: ~1,745 European macroalgae species.

Value

The same data.frame with additional columns:

algae_body_size_cm

Maximum body size in centimetres.

algae_growth_form

Growth form / body shape (e.g., filamentous, foliose, crustose).

algae_calcification

Calcification type (e.g., uncalcified, articulated, encrusting).

algae_life_span

Life span category (annual, perennial, etc.).

algae_tidal_zone

Tidal zonation (e.g., supralittoral, eulittoral, sublittoral).

algae_wave_exposure

Wave exposure tolerance (sheltered, moderately exposed, exposed).

algae_environment

Habitat environment (marine, brackish, freshwater).

algae_substrate

Environmental position / substrate type.

References

Vranken S et al. (2023) AlgaeTraits: a trait database for (European) seaweeds. Earth System Science Data 15:2711-2754. doi:10.5194/essd-15-2711-2023

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Fucus vesiculosus", backend = "gbif") |>
  add_algae_traits()

options(old)

Description

Joins alien species first record data to a taxify() result, filtered by country. Data from the Global Alien Species First Record Database (Seebens et al. 2017).

Usage

add_alien_first_records(x, country, verbose = TRUE)

Arguments

Details

Source: Global Alien Species First Record Database v3.1 (Seebens et al. 2017, Nature Communications 8, 14435). CC BY 4.0. Coverage: ~77k species x country combinations across all taxa.

Value

The same data.frame with additional column(s):

alien_first_record

Year of the first record (integer), or NA if not recorded for that country.

alien_first_record_source

Database that contributed the record (e.g., "GAVIA", "CABI ISC").

alien_first_record_reference

Original citation or reference for the record.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Robinia pseudoacacia") |>
  add_alien_first_records(country = "AT")

taxify(c("Robinia pseudoacacia", "Ailanthus altissima")) |>
  add_alien_first_records(country = c("AT", "DE"))

options(old)

Description

Joins AmphiBIO amphibian life-history and ecological traits to a taxify() result by looking up accepted_name.

Usage

add_amphibio(x, verbose = TRUE)

Arguments

Details

Source: AmphiBIO (Oliveira et al. 2017, CC BY 4.0). Coverage: ~6,800 amphibian species. Amphibians only.

Value

The same data.frame with additional columns:

body_size_mm

Maximum body size in mm (snout-vent length).

age_maturity_d

Age at maturity in days.

longevity_d

Maximum longevity in days.

litter_size

Clutch/litter size.

reproductive_output

Reproductive output per year.

offspring_size_mm

Offspring size in mm.

direct_development

Direct development (0/1).

larval

Has larval stage (0/1).

aquatic

Aquatic habitat (0/1).

fossorial

Fossorial habitat (0/1).

arboreal

Arboreal habitat (0/1).

diurnal

Diurnal activity (0/1).

nocturnal_amphibio

Nocturnal activity (0/1). Named nocturnal_amphibio to avoid collision with EltonTraits' nocturnal column.

References

Oliveira BF, Sao-Pedro VA, Santos-Barrera G, Penone C, Costa GC (2017) AmphiBIO, a global database for amphibian ecological traits. Scientific Data 4:170123.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Bufo bufo", backend = "gbif") |>
  add_amphibio()

options(old)

Description

Joins AnAge (Animal Ageing and Longevity Database) traits to a taxify() result by looking up accepted_name.

Usage

add_anage(x, verbose = TRUE)

Arguments

Details

Source: AnAge (de Magalhaes & Costa 2009, CC BY). Coverage: ~4.7k vertebrate species (mammals, birds, reptiles, amphibians, fish).

Value

The same data.frame with additional columns:

max_longevity_yr

Maximum longevity in years.

anage_body_mass_g

Adult body mass in grams.

metabolic_rate_w

Basal metabolic rate in watts.

female_maturity_d

Female age at sexual maturity in days.

male_maturity_d

Male age at sexual maturity in days.

gestation_incubation_d

Gestation or incubation length in days.

anage_litter_size

Litter or clutch size.

birth_mass_g

Mass at birth in grams.

growth_rate

Growth rate (1/days).

temperature_k

Body temperature in Kelvin.

References

de Magalhaes JP, Costa J (2009) A database of vertebrate longevity records and their relation to other life-history traits. Journal of Evolutionary Biology 22:1770-1774.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Vulpes vulpes", backend = "gbif") |>
  add_anage()

options(old)

Description

Joins AnimalTraits body mass and metabolic rate data to a taxify() result by looking up accepted_name.

Usage

add_animaltraits(x, verbose = TRUE)

Arguments

Details

Source: AnimalTraits (Hebert et al. 2022, CC0). Coverage: ~2k species across arthropods, vertebrates, molluscs, and annelids. Individual-level observations aggregated to species medians.

Value

The same data.frame with additional columns:

animaltraits_body_mass_kg

Median body mass in kg.

animaltraits_metabolic_rate_w

Median metabolic rate in watts.

References

Hebert K et al. (2022) AnimalTraits – a curated animal trait database for body mass, metabolic rate and brain size. Scientific Data 9:265.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Drosophila melanogaster", backend = "gbif") |>
  add_animaltraits()

options(old)

Description

Joins the Northwestern European Arthropod Life Histories dataset to a taxify() result by looking up accepted_name.

Usage

add_arthropod_traits(x, verbose = TRUE)

Arguments

Details

Source: Logghe et al. (2025, CC BY-NC). Coverage: ~4.9k arthropod species from NW Europe across 10 orders (Coleoptera, Hemiptera, Orthoptera, Araneae, Diptera, Hymenoptera, Lepidoptera, etc.).

Value

The same data.frame with additional columns:

arthropod_body_size_mm

Body size in mm.

arthropod_dispersal

Dispersal ability (0–1 ratio within order).

arthropod_voltinism

Mean number of generations per year.

arthropod_fecundity

Fecundity (number of eggs/offspring).

arthropod_development_d

Development time in days.

arthropod_lifespan_d

Adult lifespan in days.

arthropod_thermal_mean

Mean thermal niche (degrees C).

arthropod_diurnality

Activity period (diurnal/nocturnal/both).

arthropod_feeding_guild

Feeding guild of adult.

arthropod_trophic_range

Trophic range of adult (specialist/generalist).

References

Logghe A et al. (2025) An in-depth dataset of northwestern European arthropod life histories and ecological traits. Biodiversity Data Journal 13:e146785.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Abax parallelepipedus", backend = "gbif") |>
  add_arthropod_traits()

options(old)

Description

Joins AVONET species-level averages for bird morphology, ecology, and migration to a taxify() result by looking up accepted_name.

Usage

add_avonet(x, verbose = TRUE)

Arguments

Details

Source: AVONET (Tobias et al. 2022, Figshare, CC BY 4.0). Coverage: ~11k bird species. Birds only.

Value

The same data.frame with additional columns:

beak_length

Beak length in mm (culmen, species mean).

beak_depth

Beak depth in mm (species mean).

wing_length

Wing length in mm (species mean).

tail_length

Tail length in mm (species mean).

tarsus_length

Tarsus length in mm (species mean).

avonet_body_mass_g

Body mass in grams (species mean).

hand_wing_index

Hand-wing index (pointedness, species mean).

habitat

Primary habitat classification.

trophic_level

Trophic level classification.

trophic_niche

Trophic niche classification.

migration

Migration strategy: "sedentary", "partial", or "full".

References

Tobias JA et al. (2022) AVONET: morphological, ecological and geographical data for all birds. Ecology Letters 25:581-597.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Parus major", backend = "gbif") |>
  add_avonet()

options(old)

Description

Joins Baseflor (Julve, Programme Catminat) plant traits to a taxify() result by looking up accepted_name. Baseflor covers the vascular flora of France and neighbouring regions, providing flowering phenology, pollination and breeding biology, dispersal mode, and floral and fruit morphology.

Usage

add_baseflor(x, verbose = TRUE)

Arguments

Details

Source: Baseflor, Programme Catminat (Julve 1998 ff.). Coverage: ~7,000 vascular plant taxa of France and neighbouring regions. Data are released under ODbL 1.0 / CC BY-SA 2.0.

For ecological indicator values on the light, temperature, moisture, reaction, and nutrient axes, see add_eive() (European calibration). For Raunkiaer life form and seed, leaf, and clonality traits of the Northwest European flora, see add_leda().

Value

The same data.frame with additional columns:

flower_begin_month

First month of flowering (1-12).

flower_end_month

Last month of flowering (1-12). A value smaller than flower_begin_month denotes a flowering period that wraps across the new year (e.g. begin 10, end 6).

pollination_vector

Pollination vector(s): insect, wind, water, self, apogamy. Comma-separated when more than one applies.

dispersal_mode

Diaspore dispersal mode(s): anemochory, barochory, epizoochory, endozoochory, myrmecochory, hydrochory, autochory, dyszoochory. Comma-separated when more than one applies.

breeding_system

Sexual system: hermaphroditic, monoecious, dioecious, gynodioecious, androdioecious, gynomonoecious, polygamous.

flower_colour

Flower colour(s): white, yellow, pink, green, blue, brown, black. Comma-separated when more than one applies.

fruit_type

Fruit type: achene, capsule, caryopsis, drupe, legume, silique, berry, follicle, cone, samara, pyxid.

woody_growth_form

Woody growth form for woody taxa: tree, small tree, large tree, shrub, bush, subshrub, liana, parasite. NA for non-woody (herbaceous) taxa.

continentality

Ellenberg-style continentality indicator value (1-9), the axis absent from EIVE.

salinity

Ellenberg-style salinity indicator value (0-9), the axis absent from EIVE.

References

Julve, Ph. (1998 ff.) baseflor. Index botanique, ecologique et chorologique de la Flore de France. Programme Catminat.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Bellis perennis") |>
  add_baseflor()

options(old)

Description

Joins extra Catalogue of Life columns to a taxify() result by looking up taxon_id in the COL backbone. Only enriches rows where backend == "col".

Usage

add_col_info(x)

Arguments

Value

The same data.frame with additional columns:

notho

Hybrid type from COL: "generic", "specific", "infrageneric", or "infraspecific".

nomenclaturalCode

Nomenclatural code ("ICN", "ICZN", etc.).

nomenclaturalStatus

Nomenclatural status.

namePublishedIn

Original publication reference.

kingdom

Kingdom classification.

phylum

Phylum classification.

col_class

Class classification (renamed to avoid conflict with R's class function).

order

Order classification.

infraspecificEpithet

Infraspecific epithet.

is_extinct

Logical. Whether the species is extinct (from SpeciesProfile, if available).

is_marine

Logical. Whether the species is marine.

is_freshwater

Logical. Whether the species is freshwater.

is_terrestrial

Logical. Whether the species is terrestrial.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Quercus robur", backend = "col") |>
  add_col_info()

options(old)

Description

Joins vernacular names to a taxify() result by looking up accepted_name, filtered by language.

Usage

add_common_names(x, lang = "en", verbose = TRUE)

Arguments

Details

Common names are merged from three sources:

• GBIF backbone vernacular names (CC0) — multi-language via ISO 639-1 codes.

• NCBI Taxonomy common names (public domain) — no language tag (lang = NA).

• Open Tree of Life common names (CC0) — no language tag (lang = NA).

When multiple common names exist for a species in the requested language, the first (most commonly used) is returned.

Value

The same data.frame with an additional column:

common_name

The vernacular name in the requested language, or NA if none is available.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Quercus robur") |>
  add_common_names()

taxify("Quercus robur") |>
  add_common_names(lang = "de")

options(old)

Description

Joins IUCN Red List conservation status to a taxify() result by looking up accepted_name in the conservation status enrichment.

Usage

add_conservation_status(x, verbose = TRUE)

Arguments

Details

Conservation status values are compiled from publicly available sources including GBIF and the IUCN Red List API. Coverage is global across all taxonomic groups (~166k species).

Value

The same data.frame with an additional column:

conservation_status

IUCN category: "LC" (Least Concern), "NT" (Near Threatened), "VU" (Vulnerable), "EN" (Endangered), "CR" (Critically Endangered), "EW" (Extinct in the Wild), "EX" (Extinct), or NA if not assessed.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Panthera tigris", backend = "gbif") |>
  add_conservation_status()

options(old)

Description

Joins an external data source (CSV file or data.frame) to a taxify() result. Species names in the external data are matched through the same backbone(s) used in the original taxify() call, and the join is performed on accepted_id — so synonyms in either dataset resolve to the same key.

Usage

add_data(
  x,
  data,
  species_col = NULL,
  table = NULL,
  sheet = NULL,
  start_row = NULL,
  cols = NULL,
  group_col = NULL,
  groups = "all",
  fuzzy = TRUE,
  fuzzy_threshold = 0.2,
  verbose = TRUE
)

Arguments

Details

The workflow:

1. Read data (CSV or data.frame).

2. Identify the species column (explicit or auto-detected).

3. Match species names through the same backbone(s) as the original taxify() call, obtaining accepted_id for each row.

4. Check for conflicting duplicates: if multiple rows in data resolve to the same accepted_id with different values, an error is raised (unless group_col is set). Exact duplicates produce a warning and are deduplicated.

5. Left-join on accepted_id.

Grouped data

When your data has multiple rows per species (e.g., one row per species per country), set group_col to produce wide output with suffixed columns. This is the same format as the built-in grouped enrichments.

Auto-detection

When species_col is not specified, add_data() takes the first 10 rows of each character column and runs them through taxify(). The column with the highest match rate is selected. If no column achieves at least 50% matches, an error is raised asking the user to specify species_col explicitly.

Value

The input data.frame with additional columns from data, joined via backbone-resolved accepted_id. Columns from data that collide with existing columns in x are prefixed with "data_".

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

result <- taxify(c("Quercus robur", "Pinus sylvestris"))
traits <- data.frame(species = c("Quercus robur", "Pinus sylvestris"),
                     height = c(30, 25))
result |> add_data(traits, species_col = "species")

options(old)

Description

Joins species-level mean seed mass and plant height from Diaz et al. (2022) to a taxify() result by looking up accepted_name.

Usage

add_diaz_traits(x, verbose = TRUE)

Arguments

Details

Source: Diaz et al. 2022, TRY File Archive (CC BY 3.0). Coverage: ~46k plant species. Plants only.

Value

The same data.frame with additional columns:

seed_mass_mg

Seed mass in milligrams (species-level mean).

plant_height_m

Plant height in metres (species-level mean).

References

Diaz S et al. (2022) The global spectrum of plant form and function: enhanced species-level trait data. TRY File Archive.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Quercus robur") |>
  add_diaz_traits()

options(old)

Description

Joins traits from the Ecological Flora of the British Isles (Fitter & Peat 1994) to a taxify() result by looking up accepted_name. Ecoflora covers the vascular flora of the British Isles, providing canopy height, leaf traits, life form, flowering phenology, pollination and reproduction, seed weight, and British-calibrated Ellenberg indicator values. Every column carries a ⁠_uk⁠ suffix to mark the British-flora calibration and to avoid collisions when chained with other plant-trait enrichments (e.g. add_baseflor() for France, add_floraweb() for Germany).

Usage

add_ecoflora(x, verbose = TRUE)

Arguments

Details

Source: Ecoflora (Ecological Flora of the British Isles). Ecoflora has no bulk download or API; the bundled dataset was collected one species at a time and is redistributed under the source licence (CC BY-NC-SA 4.0). The .vtr is downloaded from the taxify release on first use and cached.

For French-flora traits see add_baseflor(); for German-flora traits see add_floraweb(); for European-calibration indicator values see add_eive().

Value

The same data.frame with additional ⁠_uk⁠ columns:

height_max_mm_uk, height_min_mm_uk

Canopy height range (mm).

leaf_area_uk

Leaf area class.

leaf_longevity_uk

Leaf longevity (e.g. evergreen, deciduous).

root_system_uk

Root system type.

photosynthetic_pathway_uk

Photosynthetic pathway (C3/C4/CAM).

life_form_uk

Raunkiaer life form.

reproduction_uk

Reproduction method.

flower_begin_month_uk, flower_end_month_uk

Flowering months (1-12).

pollination_vector_uk

Pollen vector(s).

seed_weight_mg_uk

Seed weight (mg).

propagule_uk

Propagule / dispersule type.

ell_light_uk, ell_moisture_uk, ell_reaction_uk, ell_nitrogen_uk, ell_salt_uk

Ellenberg indicator values calibrated for the British flora (light, moisture, reaction, nitrogen, salt).

References

Fitter AH, Peat HJ (1994) The Ecological Flora Database. Journal of Ecology 82:415-425.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Bellis perennis") |>
  add_ecoflora()

options(old)

Description

Joins EIVE 1.0 (Dengler et al. 2023) ecological indicator values to a taxify() result by looking up accepted_name. EIVE provides continuous indicator values for European vascular plants, superseding the original ordinal Ellenberg values.

Usage

add_eive(x, verbose = TRUE)

Arguments

Details

Source: EIVE 1.0 (Dengler et al. 2023, Zenodo, CC BY 4.0). Coverage: ~14.5k European vascular plant species.

Value

The same data.frame with additional columns:

eive_light

Light indicator value (continuous).

eive_temperature

Temperature indicator value (continuous).

eive_moisture

Moisture indicator value (continuous).

eive_reaction

Soil reaction (pH) indicator value (continuous).

eive_nutrients

Nutrient indicator value (continuous).

References

Dengler J et al. (2023) EIVE 1.0 – a standardized set of Ecological Indicator Values for Europe. Vegetation Classification and Survey 4:7-29. doi:10.3897/VCS.98324

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Arrhenatherum elatius") |>
  add_eive()

options(old)

Description

Joins EltonTraits 1.0 diet composition, foraging strata, body mass, and activity data to a taxify() result by looking up accepted_name.

Usage

add_elton_traits(x, verbose = TRUE)

Arguments

Details

Source: EltonTraits 1.0 (Wilman et al. 2014, Figshare, CC0). Coverage: ~15.4k species. Birds and mammals only.

Value

The same data.frame with additional columns:

diet_inv

Percentage of diet: invertebrates.

diet_vend

Percentage of diet: endothermic vertebrates.

diet_vect

Percentage of diet: ectothermic vertebrates.

diet_vfish

Percentage of diet: fish.

diet_vunk

Percentage of diet: unknown vertebrates.

diet_scav

Percentage of diet: scavenging.

diet_fruit

Percentage of diet: fruit.

diet_nect

Percentage of diet: nectar.

diet_seed

Percentage of diet: seeds and nuts.

diet_plantother

Percentage of diet: other plant material.

foraging_water

Percentage of foraging: below water surface.

foraging_ground

Percentage of foraging: on ground.

foraging_understory

Percentage of foraging: in understory.

foraging_midhigh

Percentage of foraging: in mid to high strata.

foraging_canopy

Percentage of foraging: in canopy.

foraging_aerial

Percentage of foraging: aerial.

elton_body_mass_g

Body mass in grams.

nocturnal

Nocturnal activity (0 = diurnal, 1 = nocturnal).

References

Wilman H et al. (2014) EltonTraits 1.0: Species-level foraging attributes of the world's birds and mammals. Ecology 95:2027.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Parus major", backend = "gbif") |>
  add_elton_traits()

options(old)

Description

Joins FISHMORPH morphological trait data to a taxify() result by looking up accepted_name.

Usage

add_fish_traits(x, verbose = TRUE)

Arguments

Details

Source: FISHMORPH (Brosse et al. 2021, Figshare, CC BY 4.0). Coverage: ~8.3k freshwater fish species.

Value

The same data.frame with additional columns:

fish_max_body_length

Maximum body length (cm).

fish_body_elongation

Body elongation (body length / body depth).

fish_vertical_eye_position

Vertical eye position (eye position / head depth).

fish_relative_eye_size

Relative eye size (eye diameter / head length).

fish_oral_gape_position

Oral gape position (mouth position: 0 = inferior, 0.5 = terminal, 1 = superior).

fish_relative_maxillary_length

Relative maxillary length (maxillary length / head length).

fish_body_lateral_shape

Body lateral shape (body depth / caudal peduncle depth).

fish_pectoral_fin_position

Pectoral fin vertical position (fin insertion depth / body depth).

fish_pectoral_fin_size

Pectoral fin size (fin length / body length).

fish_caudal_peduncle_throttling

Caudal peduncle throttling (caudal peduncle depth / caudal fin depth).

References

Brosse S, Charpin N, Su G, Toussaint A, Herrera-R GA, Tedesco PA, Villegé r S (2021) FISHMORPH: A global database on morphological traits of freshwater fishes. Global Ecology and Biogeography 30:2330-2336. doi:10.1111/geb.13395

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Salmo trutta", backend = "gbif") |>
  add_fish_traits()

options(old)

Description

Joins FishBase morphological and ecological traits to a taxify() result by looking up accepted_name.

Usage

add_fishbase(x, verbose = TRUE)

Arguments

Details

Source: FishBase via rfishbase (Froese & Pauly, CC BY-NC 3.0). Coverage: ~35k fish species. Fishes only.

The build-from-source fallback requires the rfishbase package (available on CRAN). Pre-built .vtr files do not require rfishbase.

Value

The same data.frame with additional columns:

fb_body_length_cm

Maximum body length in centimetres.

fb_body_mass_g

Body mass in grams (estimated from length-weight relationships where available).

fb_trophic_level

Trophic level.

fb_depth_min_m

Minimum depth in metres.

fb_depth_max_m

Maximum depth in metres.

fb_vulnerability

Vulnerability index (0–100).

fb_habitat

Habitat type (e.g. demersal, pelagic).

fb_importance

Commercial importance category.

References

Froese R, Pauly D (eds.) (2024) FishBase. World Wide Web electronic publication, https://www.fishbase.org.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Gadus morhua", backend = "gbif") |>
  add_fishbase()

options(old)

Description

Joins traits from FloraWeb (Bundesamt fuer Naturschutz) to a taxify() result by looking up accepted_name. FloraWeb is the live national portal carrying the BiolFlor trait data (Klotz, Kuehn & Durka 2002) together with Rothmaler morphology and Ellenberg indicator values. This enrichment covers the full per-species trait profile scraped from the four FloraWeb trait pages: morphology, reproductive biology, the nine Ellenberg indicator values, ploidy and chromosome number, and chorological distribution. Every column carries a ⁠_de⁠ suffix to mark the German-flora calibration and to avoid collisions when chained with other plant-trait enrichments (e.g. add_ecoflora() for Britain, add_baseflor() for France).

Usage

add_floraweb(x, verbose = TRUE)

Arguments

Details

Source: FloraWeb (https://www.floraweb.de/), Bundesamt fuer Naturschutz, Bonn. FloraWeb has no bulk export or API; the bundled dataset was scraped per species (accessed 2026-06-24) and that access date is the dataset version. The trait data largely derive from BiolFlor, which per the BioFresh metadata statement is publicly available and may be used without restrictions provided it is acknowledged and cited correctly. The .vtr is downloaded from the taxify release on first use and cached.

For British-flora traits see add_ecoflora(); for French-flora traits see add_baseflor(); for European-calibration indicator values see add_eive().

Value

The same data.frame with German trait columns (all suffixed ⁠_de⁠), grouped as:

Morphology

height_de, life_form_de, leaf_shape_de, leaf_anatomy_de, leaf_persistence_de, storage_organs_de, flowering_months_de, flowering_months_biolflor_de, flowering_phase_de, phenological_season_de, description_de.

Reproductive biology

pollination_vector_de, pollinator_de, pollinator_reward_de, flower_type_de, flower_class_de, dispersal_type_de, diaspore_type_de, germinule_type_de, reproduction_type_de, vegetative_spread_de, fertilization_type_de, apomixis_de, dicliny_de, dichogamy_de, self_incompatibility_de, si_mechanism_de, ploidy_de, chromosome_number_de, chromosome_freq_de, chromosomes_de.

Ecology

the nine Ellenberg indicator values ell_light_de, ell_temperature_de, ell_continentality_de, ell_moisture_de, ell_moisture_variability_de, ell_reaction_de, ell_nitrogen_de, ell_salt_de, heavy_metal_resistance_de, plus strategy_type_de (Grime CSR), habitat_site_de, formation_de, plant_community_de, biotope_type_de, forest_binding_de, hemeroby_de, urbanity_de.

Distribution

floristic_zones_de, areal_formula_de, areal_type_de, oceanity_de, range_centre_de, world_range_size_de, world_range_frequency_de, world_range_position_de, world_range_hazard_de, germany_range_share_de, germany_responsibility_de.

Categorical traits with several applicable values are joined with "; ". Trait values are German (as published by FloraWeb / BiolFlor).

References

Klotz S, Kuehn I, Durka W (2002) BIOLFLOR - Eine Datenbank zu biologisch-oekologischen Merkmalen der Gefaesspflanzen in Deutschland. Schriftenreihe fuer Vegetationskunde 38. Bundesamt fuer Naturschutz, Bonn.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Bellis perennis") |>
  add_floraweb()

options(old)

Description

Joins FungalTraits (Polme et al. 2020) genus-level trait data to a taxify() result by looking up genus. Unlike other enrichments that join on species-level accepted_name, FungalTraits is a genus-level database and joins on the genus column already present in taxify output.

Usage

add_fungal_traits(x, verbose = TRUE)

Arguments

Details

Source: FungalTraits (Polme et al. 2020, Fungal Diversity, CC BY 4.0). Coverage: ~10k fungal genera. Genus-level only (not species-level).

Value

The same data.frame with additional columns:

primary_lifestyle

Primary ecological role (e.g., saprotroph, mycorrhizal, pathogen, endophyte, lichenized, parasite).

secondary_lifestyle

Secondary ecological role, if any.

growth_form

Morphological growth form (e.g., agaricoid, corticioid, polyporoid, yeast).

fruitbody_type

Fruiting body morphology (e.g., gasteroid, pileate, resupinate).

decay_substrate

Substrate type for saprotrophic genera (e.g., wood, litter, dung, soil).

plant_pathogenic_capacity

Capacity to cause plant disease (e.g., high, medium, low, none).

animal_biotrophic_capacity

Capacity for animal biotrophy.

endophytic_interaction_capability

Capacity for endophytic interactions with plants.

ectomycorrhiza_exploration_type

Exploration type for ectomycorrhizal genera (e.g., contact, short, medium, long).

References

Polme S et al. (2020) FungalTraits: a user-friendly traits database of fungi and fungus-like stramenopiles. Fungal Diversity 105:1-16. doi:10.1007/s13225-020-00466-2

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Amanita muscaria", backend = "gbif") |>
  add_fungal_traits()

options(old)

Description

Joins FUNGuild trophic mode, guild, growth morphology, and confidence data to a taxify() result by looking up accepted_name. Species-level matches take priority; genus-level guild assignments are used as fallback for unmatched species.

Usage

add_funguild(x, verbose = TRUE)

Arguments

Details

Source: FUNGuild (Nguyen et al. 2016, CC BY 4.0). Coverage: ~13k taxa. Fungi only.

The enrichment first attempts species-level matching. For species without a direct match, it falls back to genus-level guild assignments from FUNGuild's genus-rank entries.

Value

The same data.frame with additional columns:

trophic_mode

Trophic mode (e.g., Pathotroph, Saprotroph, Symbiotroph, or hyphenated combinations).

guild

Functional guild (e.g., "Ectomycorrhizal", "Plant Pathogen", "Wood Saprotroph").

funguild_growth_form

Growth morphology (e.g., "Agaricoid", "Microfungus"). Prefixed to avoid collision with FungalTraits.

confidence_ranking

Confidence of the guild assignment (Possible, Probable, Highly Probable).

References

Nguyen NH et al. (2016) FUNGuild: An open annotation tool for parsing fungal community datasets by ecological guild. Fungal Ecology 20:241-248.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Amanita muscaria", backend = "gbif") |>
  add_funguild()

options(old)

Description

Joins extra GBIF backbone columns to a taxify() result by looking up taxon_id in the GBIF backbone. Only enriches rows where backend == "gbif".

Usage

add_gbif_info(x)

Arguments

Value

The same data.frame with additional columns:

notho_type

Hybrid type: "GENERIC", "SPECIFIC", or "INFRASPECIFIC".

nom_status

Nomenclatural status (may contain multiple values).

bracket_authorship

Basionym author in parentheses.

bracket_year

Basionym author year.

gbif_year

Combining author year.

name_published_in

Publication citation.

origin

How the name entered the backbone.

infra_specific_epithet

Infraspecific epithet.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Quercus robur", backend = "gbif") |>
  add_gbif_info()

options(old)

Description

Joins GloNAF (Global Naturalized Alien Flora) data to a taxify() result, filtered by region.

Usage

add_glonaf(x, region, verbose = TRUE)

Arguments

Details

Source: GloNAF v2.0 (van Kleunen et al. 2019, Davis et al. 2025, CC BY 4.0). Coverage: ~16k alien plant taxa across ~1,300 regions. Plants only.

Value

The same data.frame with additional column(s):

naturalized

Integer 1 if the species is recorded as naturalized in that region, NA otherwise.

References

van Kleunen M et al. (2019) The Global Naturalized Alien Flora (GloNAF) database. Ecology 100:e02542.

Davis K et al. (2025) The updated Global Naturalized Alien Flora (GloNAF 2.0) database. Ecology, e70245.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Robinia pseudoacacia") |>
  add_glonaf(region = "EUR")

taxify("Robinia pseudoacacia") |>
  add_glonaf(region = c("EUR", "NAM"))

options(old)

Description

Parses the input_name column from a taxify() result to extract hybrid parent names and classify the hybrid type.

Usage

add_hybrid_info(x)

Arguments

Value

The same data.frame with additional columns:

hybrid_parent_1

First parent (full binomial), NA if not a hybrid formula.

hybrid_parent_2

Second parent (full binomial, abbreviated genus expanded), NA if not a hybrid formula.

hybrid_type

One of "nothogenus", "nothospecies", "formula", or NA if not a hybrid.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Quercus pyrenaica x Q. petraea") |>
  add_hybrid_info()

options(old)

Description

Joins GRIIS (Global Register of Introduced and Invasive Species) data to a taxify() result, filtered by country.

Usage

add_invasive_status(x, country, verbose = TRUE)

Arguments

Details

Source: GRIIS (Zenodo combined CSV, CC BY 4.0, 196 countries). Coverage: ~23k name x country combinations.

Value

The same data.frame with additional column(s):

invasive_status

One of "native", "introduced", "invasive", or NA if not recorded for that country.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Robinia pseudoacacia") |>
  add_invasive_status(country = "AT")

taxify("Robinia pseudoacacia") |>
  add_invasive_status(country = c("AT", "DE"))

options(old)

Description

Joins LEDA Traitbase (Kleyer et al. 2008) plant functional traits to a taxify() result by looking up accepted_name. LEDA provides species-level trait data for NW European plant species, covering life form, dispersal, seed, leaf, and clonality traits.

Usage

add_leda(x, verbose = TRUE)

Arguments

Details

Source: LEDA Traitbase (Kleyer et al. 2008). Coverage: ~8,000 NW European plant species.

The Raunkiaer life form is a bud-position classification system: phanerophyte = buds >25 cm above soil, chamaephyte = buds near soil surface, hemicryptophyte = buds at soil surface, geophyte (cryptophyte) = buds below soil, therophyte = annual that survives as seed.

Value

The same data.frame with additional columns:

raunkiaer_life_form

Primary Raunkiaer life form classification (phanerophyte, chamaephyte, hemicryptophyte, geophyte, therophyte, helophyte, hydrophyte).

raunkiaer_variable

1 if species assigned to multiple Raunkiaer forms, 0 otherwise.

dispersal_type

Primary dispersal type (anemochory, zoochory, hydrochory, autochory, barochory, dysochory).

terminal_velocity_ms

Seed terminal velocity in m/s (species median).

seed_mass_mg

Seed mass in mg (species median). Prefixed with leda_ in the .vtr to avoid collision with Diaz traits.

canopy_height_m

Canopy height in meters (species median).

leaf_mass_mg

Leaf dry mass in mg (species median).

sla_mm2_mg

Specific leaf area in mm$^2$/mg (species median).

clonal_growth

Capable of clonal growth (1 = yes, 0 = no).

buoyancy

Seed buoyancy classification.

References

Kleyer M et al. (2008) The LEDA Traitbase: a database of life-history traits of the Northwest European flora. Journal of Ecology 96:1266-1274.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Arrhenatherum elatius") |>
  add_leda()

options(old)

Description

Joins LepTraits 1.0 butterfly life-history and ecological traits to a taxify() result by looking up accepted_name.

Usage

add_leptraits(x, verbose = TRUE)

Arguments

Details

Source: LepTraits 1.0 (Shirey et al. 2022, CC0). Coverage: ~12.4k butterfly species globally (Papilionoidea).

Value

The same data.frame with additional columns:

wingspan_mm

Wingspan in mm (midpoint of lower and upper bounds).

voltinism

Number of generations per year.

diapause_stage

Overwintering/diapause life stage.

canopy_affinity

Canopy association category.

edge_affinity

Edge/gap affinity category.

moisture_affinity

Moisture affinity category.

disturbance_affinity

Disturbance affinity category.

n_hostplant_families

Number of host plant families used.

flight_months

Number of months with adult flight activity.

References

Shirey V et al. (2022) LepTraits 1.0: A globally comprehensive dataset of butterfly traits. Scientific Data 9:398.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Vanessa cardui", backend = "gbif") |>
  add_leptraits()

options(old)

Description

Joins lizard trait data from Meiri (2018) to a taxify() result by looking up accepted_name.

Usage

add_lizard_traits(x, verbose = TRUE)

Arguments

Details

Source: Meiri (2018, Global Ecology and Biogeography, CC BY 4.0). Coverage: ~6,600 lizard species. Lizards only.

Value

The same data.frame with additional columns:

lizard_body_mass_g

Body mass in grams.

lizard_svl_mm

Snout-vent length in mm.

lizard_tail_length_mm

Tail length in mm.

lizard_clutch_size

Clutch size.

lizard_clutch_frequency

Clutches per year.

lizard_longevity_yr

Maximum longevity in years.

lizard_diet

Diet category.

lizard_habitat

Habitat type.

lizard_activity_time

Activity time (diurnal/nocturnal/crepuscular).

lizard_foraging_mode

Foraging mode (sit-and-wait/active).

References

Meiri S (2018) Traits of lizards of the world: Variation around a successful evolutionary design. Global Ecology and Biogeography 27:1168-1172.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Pogona vitticeps", backend = "gbif") |>
  add_lizard_traits()

options(old)

Description

Joins PanTHERIA mammal life-history and ecological traits to a taxify() result by looking up accepted_name.

Usage

add_pantheria(x, verbose = TRUE)

Arguments

Details

Source: PanTHERIA (Jones et al. 2009, Ecological Archives, CC0). Coverage: ~5.4k mammal species. Mammals only.

Value

The same data.frame with additional columns:

pantheria_body_mass_g

Adult body mass in grams.

longevity_mo

Maximum longevity in months.

litter_size

Litter size (mean).

gestation_d

Gestation length in days.

weaning_d

Weaning age in days.

home_range_km2

Home range size in km$^2$.

diet_breadth

Diet breadth (number of diet categories).

habitat_breadth

Habitat breadth (number of habitat types).

References

Jones KE et al. (2009) PanTHERIA: a species-level database of life history, ecology, and geography of extant and recently extinct mammals. Ecology 90:2648.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Vulpes vulpes", backend = "gbif") |>
  add_pantheria()

options(old)

Description

Fetches Italian Ellenberg-type indicator values, life form, and chorotype from Pignatti's Flora d'Italia (Pignatti, Menegoni & Pietrosanti 2005) for the species in a taxify() result, using the TR8 package, and joins them by accepted_name. TR8 ships these values bundled, so this works offline.

Usage

add_pignatti(x, verbose = TRUE)

Arguments

Details

These values originate in a copyrighted publication, so taxify does not redistribute them. This function reads the copy bundled in the suggested package TR8 (which redistributes it under TR8's GPL, with attribution); taxify ships none of it and no internet access is required. For European-calibration indicator values see add_eive().

Value

The same data.frame with additional columns:

light_it, temperature_it, continentality_it, moisture_it, reaction_it, nutrients_it, salinity_it

Ellenberg-type indicator values calibrated for the Italian flora (codes; X = indifferent, 0 = not applicable).

life_form_it

Life form for the Italian flora.

chorotype_it

Chorological type (distribution).

References

Pignatti S, Menegoni P, Pietrosanti S (2005) Bioindicazione attraverso le piante vascolari. Braun-Blanquetia 39. Bocci G (2015) TR8: an R package for easily retrieving plant species traits. Methods in Ecology and Evolution 6:347-350.

Examples

old <- options(taxify.data_dir = taxify_example_data())


# add_pignatti() fetches Italian trait data on demand via the TR8 package.
taxify("Abies alba") |>
  add_pignatti()


options(old)

Description

Parses the input_name column from a taxify() result to extract taxonomic qualifiers (cf., aff., s.l., etc.) and their positions.

Usage

add_qualifier_info(x)

Arguments

Value

The same data.frame with additional columns:

qualifier

The qualifier found (e.g., "cf.", "aff."), or NA if none.

qualifier_position

Integer position (character index) of the qualifier in the original name, or NA if none.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Pinus cf. sylvestris") |>
  add_qualifier_info()

options(old)

Description

Joins WCVP (World Checklist of Vascular Plants, Kew) native range data to a taxify() result, filtered by TDWG botanical region.

Usage

add_wcvp(x, region, verbose = TRUE)

Arguments

Details

Source: WCVP (Kew, CC BY). Coverage: ~340k plant species. Plants only.

Value

The same data.frame with additional column(s):

native_status

One of "native", "introduced", "extinct", or NA if not recorded for that region.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Quercus robur") |>
  add_wcvp(region = "EUR")

taxify("Quercus robur") |>
  add_wcvp(region = c("EUR", "NAM"))

options(old)

Description

Joins extra World Flora Online columns to a taxify() result by looking up taxon_id in the WFO backbone.

Usage

add_wfo_info(x)

Arguments

Value

The same data.frame with additional columns:

scientificNameID

WFO scientificNameID.

parentNameUsageID

WFO parentNameUsageID.

namePublishedIn

Publication reference.

higherClassification

Higher classification string.

taxonRemarks

Taxonomic remarks.

infraspecificEpithet

Infraspecific epithet (for subspecies, varieties, forms).

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Quercus robur") |>
  add_wfo_info()

options(old)

Description

Joins woodiness data from Zanne et al. (2014) to a taxify() result by looking up accepted_name.

Usage

add_woodiness(x, verbose = TRUE)

Arguments

Details

Source: Zanne et al. 2014, Nature (Dryad, CC0). Coverage: ~50k plant species. Plants only.

Value

The same data.frame with an additional column:

woodiness

One of "woody", "herbaceous", "variable", or NA if not in the dataset.

References

Zanne AE et al. (2014) Three keys to the radiation of angiosperms into freezing environments. Nature 506:89-92.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

taxify("Quercus robur") |>
  add_woodiness()

options(old)

Description

Prints formatted citations for the taxonomic backbone(s), enrichment layers, and the taxify package itself. Optionally writes a BibTeX file.

Usage

cite(x, file = NULL)

Arguments

Value

x, invisibly (pipe-friendly).

Examples

result <- taxify("Quercus robur", backend = "wfo")
result |> cite()
result |> cite(file = tempfile(fileext = ".bib"))

Description

Writes a taxify() result (with any enrichments) to disk in one of several formats. The default .vtr format preserves column types and is fast to re-read with add_data().

Usage

export_data(x, path, overwrite = FALSE)

Arguments

Value

Invisibly returns path.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

result <- taxify(c("Quercus robur", "Pinus sylvestris"))
result |> export_data(tempfile(fileext = ".vtr"))
result |> export_data(tempfile(fileext = ".csv"))
result |> export_data(tempfile(fileext = ".tsv"))

options(old)

Description

Returns a summary of all enrichment layers available in the taxify manifest, including version, row count, whether the dataset is static, and which trait columns are provided.

Usage

list_enrichments(verbose = TRUE)

Arguments

Value

A data.frame with columns: name, version, nrow, static, trait_cols (comma-separated), and source_url.

Examples

list_enrichments()

Description

Returns the register row for the given genus, or NULL if not found. Auto-loads the register on first call.

Usage

lookup_genus(genus)

Arguments

Value

A one-row data.frame, or NULL if the genus is not in the register.

Description

Delegates to the standard data.frame print method.

Usage

## S3 method for class 'taxify_result'
print(x, ...)

Arguments

Value

x, invisibly.

Description

Prints a compact digest of match quality and life-form scope to the console. Uses cat() so output is captured by capture.output() and rendered correctly in knitr chunks.

Usage

## S3 method for class 'taxify_result'
summary(object, ...)

Arguments

Value

object, invisibly.

Description

Matches a vector of taxonomic names against locally stored Darwin Core backbone databases. Returns a data.frame with one row per input name containing the matched name, accepted name, taxonomic hierarchy, and match quality information.

Usage

taxify(
  x,
  backend = "wfo",
  fuzzy = TRUE,
  fuzzy_threshold = 0.2,
  fuzzy_method = c("dl", "levenshtein", "jw"),
  verbose = TRUE
)

Arguments

Details

When multiple backends are specified, names are matched against each backend in order. Names matched by an earlier backend are not re-matched by later ones (fallback chain).

Value

A data.frame with one row per input name and the following columns:

input_name

The original name as provided.

matched_name

Full name in the backbone that matched.

accepted_name

Resolved accepted name (equals matched_name if not a synonym).

taxon_id

Backend-specific ID of the matched name.

accepted_id

ID of the accepted name.

rank

Taxonomic rank (species, subspecies, genus, etc.).

family

Family name.

genus

Genus name.

epithet

Specific epithet.

authorship

Authorship of the matched name.

accepted_authorship

Authorship of the accepted name. For a synonym this is the author of the resolved accepted name, not the synonym's own author, so accepted_name and accepted_authorship together form the accepted name's full citation.

is_synonym

Logical. Was the match a synonym?

is_hybrid

Logical. Was a hybrid marker detected in the input?

match_type

One of "exact", "exact_ci", "fuzzy", "abbrev" (an abbreviated genus such as "Q. robur" resolved via genus initial plus epithet), or "none".

fuzzy_dist

Normalized string distance (0–1), NA if exact.

is_ambiguous

Logical. TRUE when the matched scientificName had multiple synonym rows pointing to different accepted taxa at the same priority tier (homonym ambiguity). Disambiguated via nomenclaturalStatus = "Valid" when that column is in the backbone; for irreducible ambiguity, the scalar columns hold one candidate.

ambiguous_targets

Character. |-joined list of conflicting accepted taxon IDs when is_ambiguous = TRUE; NA otherwise.

backend

Which backend was used (e.g., "wfo", "col", "gbif").

backbone_version

Backend name, version, and download date (e.g., "wfo:2024-12 (2026-04-01)"). Useful for reproducibility.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

# Match a few names
taxify(c("Quercus robur", "Pinus sylvestris"))

# Disable fuzzy matching
taxify("Quercus robus", fuzzy = FALSE)

# Fallback chain: try WFO first, then COL for unmatched
taxify(c("Quercus robur", "Panthera leo"),
       backend = c("wfo", "col"))

options(old)

Description

Removes all loaded backbone handles from memory. The next call to taxify() will re-load from disk.

Usage

taxify_clear_cache()

Value

No return value, called for side effects.

Description

Returns the directory where taxify stores downloaded backbone and enrichment .vtr files. By default this is the platform-appropriate per-user cache returned by tools::R_user_dir() (available since R 4.0).

Usage

taxify_data_dir()

Details

The location can be overridden, in order of precedence, by the taxify.data_dir option (getOption("taxify.data_dir")) or the TAXIFY_DATA_DIR environment variable. This is useful to point taxify at a shared cache, or at the small bundled example database returned by taxify_example_data().

Value

Character string. Path to the data directory.

Description

Downloads the latest Darwin Core snapshot for the specified backend and converts it to vectra's .vtr format for fast repeated queries.

Usage

taxify_download(backend, dest = NULL, verbose = TRUE, ...)

Arguments

Details

Always re-downloads the latest release, overwriting any existing backbone. Use taxify() for day-to-day matching — it auto-downloads on first use and reuses the local copy thereafter.

Value

The path to the .vtr file (invisibly).

Description

Downloads pre-built enrichment .vtr files from the taxify manifest.

Usage

taxify_download_enrichment(enrichment, version = "latest", verbose = TRUE)

Arguments

Details

Available enrichments:

conservation_status

IUCN conservation status (LC/NT/VU/EN/CR/EW/EX)

griis

GRIIS invasive species status by country

woodiness

Zanne et al. 2014 woody/herbaceous classification

wcvp

WCVP native range by TDWG botanical region

eive

EIVE 1.0 ecological indicator values (European plants)

diaz_traits

Diaz et al. 2022 seed mass and plant height

elton_traits

EltonTraits 1.0 diet and foraging (birds + mammals)

avonet

AVONET bird morphology and migration

pantheria

PanTHERIA mammal life-history traits

common_names

GBIF vernacular names (multi-language)

amphibio

AmphiBIO amphibian life-history and ecological traits

leda

LEDA Traitbase NW European plant traits (Kleyer et al. 2008)

Value

The path(s) to the downloaded .vtr file(s) (invisibly).

Description

Downloads a pre-built .vtr backbone from Zenodo using the taxify manifest. Progress is always shown. No prompts are shown — calling this function is consent.

Usage

taxify_download_vtr(backend = "wfo", version = "latest", verbose = TRUE)

Arguments

Value

The path(s) to the downloaded .vtr file(s) (invisibly).

Description

taxify ships a tiny example database (a handful of species per backbone plus matching enrichment tables) so that examples and quick experiments run offline, without downloading the full multi-million-row backbones.

Usage

taxify_example_data()

Details

Point taxify at it for the current session by setting the taxify.data_dir option:

old <- options(taxify.data_dir = taxify_example_data())
taxify("Quercus robur") |> add_woodiness()
options(old)  # restore the real data directory

The example database is read-only and covers only the species used in the package examples; use the full downloaded backbones for real work.

Value

Character string. Path to the bundled example database directory, or "" if it is not installed.

See Also

taxify_data_dir()

Description

Reads genus_register.vtr from disk and caches it as a data.frame in .taxify_env$register. Subsequent calls reuse the cached version unless force = TRUE.

Usage

taxify_load_register(force = FALSE, verbose = TRUE)

Arguments

Details

The register contains one row per genus with columns: genus, kingdom, phylum, class, order, family, life_form.

Value

The register data.frame (invisibly).

Description

Converts wide-format columns produced by grouped enrichments (e.g., invasive_status_AT, invasive_status_DE) back to long format with one row per species x group combination.

Usage

taxify_long(x, cols = NULL, group_col = NULL, drop_na = FALSE)

Arguments

Details

When cols and group_col are omitted, taxify_long() reads the reshape metadata attached by grouped enrichment functions (add_invasive_status(), add_alien_first_records(), add_wcvp(), add_common_names()). If multiple grouped enrichments were applied, all are reshaped together (they must share the same group column).

Column matching uses the explicit base names in cols to avoid ambiguity. For example, given cols = c("alien_first_record", "alien_first_record_source"), the column alien_first_record_source_AT is correctly matched to base alien_first_record_source (not alien_first_record with suffix source_AT), because longer base names are matched first.

If the columns in x exactly match cols (no suffixed variants), the data is already in single-group format. In this case, the data.frame is returned unchanged with group_col set to NA.

Value

A data.frame in long format. All columns from x that are not part of the reshape are preserved. The reshaped columns use their base names (without suffix), and a new group_col column contains the group code extracted from the suffix.

Examples

# Runs offline against the bundled example database.
old <- options(taxify.data_dir = taxify_example_data())

# Auto-detected: no cols or group_col needed
taxify("Robinia pseudoacacia") |>
  add_alien_first_records(country = c("AT", "DE")) |>
  taxify_long()

# Explicit: override auto-detection
taxify("Robinia pseudoacacia") |>
  add_invasive_status(country = c("AT", "DE")) |>
  taxify_long(cols = "invasive_status", group_col = "country")

options(old)

Description

Forces the next fetch_manifest() call to re-fetch from the network. Useful after the maintainer updates the manifest between R sessions without restarting R.

Usage

taxify_refresh_manifest()

Value

No return value, called for side effects.

Description

Queries backend_coverage.vtr to determine which backends contain the given genus, along with the backbone version at time of indexing.

Usage

taxify_register_coverage(genus)

Arguments

Value

A data.frame with columns genus, backend, version, date_added. Returns a zero-row data.frame if the genus is not found in any backend.