Species 2020
Spatial and non-spatial data are available as foreign tables pointing at external files (shp, gdb, csv, xlsx) files in different schemas.
Each foreign table is converted to real table (geometric or non-geometric) inside the schema species_202001 using this sql script, with following parameters (where they apply):
WHERE presence IN (1,2) AND origin IN (1,2) AND seasonal IN (1,2,3)
which will include: Extant and Probably Extant (IUCN will discontinue this code); Native and Reintroduced; Resident, Breeding Season and Non-breeding Season.
BIRDLIFE tables
Spatial and non-spatial data for birds are available as foreign tables pointing at gdb file in schema species_birdlife_201903, and they contain the fields (relevants in bold):
Birdlife: spatial table “All_species”
- fid bigint,
- shape geometry(MultiPolygon,4326),
- sisid integer (corresponds to IUCN spatial table field: id_no),
- sciname character varying (corresponds to IUCN spatial table field: binomial),
- date_ character varying,
- source character varying,
- presence integer,
- origin integer,
- seasonal integer,
- data_sens character varying,
- sens_comm character varying,
- compiler character varying,
- tax_com character varying,
- dist_com character varying,
- reviewers character varying,
- citation character varying,
- version character varying,
- shape_length double precision,
- shape_area double precision,
- filename character varying,
- vxcount integer
Birdlife: non-spatial table “SppListAdditional”
- fid bigint,
- id_no integer,
- binomial character varying,
- common_name character varying,
- kingdom character varying,
- phylum character varying,
- class character varying,
- order_ character varying,
- family character varying,
- genus character varying,
- category character varying,
- criteria character varying,
- assessor character varying,
- assessment_date timestamp with time zone,
- biome_marine character varying (corresponds to IUCN spatial table field: marine),
- biome_terrestrial character varying (corresponds to IUCN spatial table field: terrestrial),
- biome_freshwater character varying (corresponds to IUCN spatial table field: freshwater),
- publication_yr smallint,
- population_trend character varying
Birdlife: non-spatial table “BirdLife_HBW_Taxonomic_Checklist_V4”
- fid bigint,
- sequence integer,
- order_ character varying,
- family_name character varying (corresponds to IUCN spatial table field: family),
- family character varying,
- subfamily_name character varying,
- tribe_name character varying,
- common_name character varying,
- scientific_name character varying (corresponds to IUCN spatial table field: binomial),
- authority character varying,
- birdlife_taxonomic_treatment character varying,
- f2019_iucn_red_list_category character varying (corresponds to IUCN spatial table field: category),
- synonyms character varying,
- alternative_common_names character varying,
- taxonomic_notes character varying,
- taxonomic_source character varying,
- sisrecid integer (corresponds to IUCN spatial table field: id_no),
- marine character varying,
- freshwater character varying,
- terrestrial character varying
An additional non spatial table is available as foreign table pointing at xlsx file in schema/table species_birdlife_non_spatial_201903.sheet1, and contains just a list with five species ( 22712690, 22716650, 22732350, 103774724, 103878817) missing information related to ecosystems.
IUCN tables
IUCN spatial tables for corals, chondrichthyes, amphibians, mammals
Spatial data are available as foreign tables pointing at shps files in schema species_iucn_spatial_202001, and they all contain the fields (relevants in bold):
- fid bigint,
- geom geometry(Polygon,4326),
- id_no bigint,
- binomial character varying,
- presence integer,
- origin integer,
- seasonal integer,
- compiler character varying,
- yrcompiled integer,
- citation character varying,
- source character varying,
- dist_comm character varying,
- island character varying,
- subspecies character varying,
- subpop character varying,
- legend character varying,
- tax_comm character varying,
- kingdom character varying,
- phylum character varying,
- class character varying,
- order_ character varying,
- family character varying,
- genus character varying,
- category character varying,
- marine character varying,
- terrestial character varying,
- freshwater character varying,
- shape_leng double precision,
- shape_area double precision
These fields are (partially?) described on Mapping and Distribution Data Attribute Standards for the IUCN Red List of Threatened Species
fid is a weak, temporary, serial field (is not unique in case of appended corals). The field id_no is unique by species, but redundant by fields (within the ones of some interest for the analysis): presence, origin, seasonal, subspecies, subpop, (others?), and each row corresponds to a different polygon. The next steps in spatial processing will merge/dissolve these polygons by id_no, making this field unique, Primary Key.
IUCN non-spatial tables
Because of limits (10K records) of the IUCN website, downloads are split in:
- species_iucn_non_spatial_non_passeriformes_202001
- species_iucn_non_spatial_only_passeriformes_202001
All the non-spatial tables are:
- all_other_fields
- assessments
- common_names
- conservation_needed
- countries
- credits
- dois
- fao (not available for all the groups)
- habitats
- lme (not available for all the groups)
- plant_specific (not available for all the groups)
- references
- research_needed
- simple_summary
- synonyms
- taxonomy
- threats
- usetrade
The available fields (by table) are:
- all_other_fields.aoo_range
- all_other_fields.arearestricted_isrestricted
- all_other_fields.assessmentid
- all_other_fields.congregatory_value
- all_other_fields.cropwildrelative_isrelative
- all_other_fields.depthlower_limit
- all_other_fields.depthupper_limit
- all_other_fields.elevationlower_limit
- all_other_fields.elevationupper_limit
- all_other_fields.eoo_range
- all_other_fields.fid
- all_other_fields.generationlength_range
- all_other_fields.inplaceeducationcontrolled_value
- all_other_fields.inplaceeducationinternationallegislation_value
- all_other_fields.inplaceeducationsubjecttoprograms_value
- all_other_fields.inplacelandwaterprotectionareaplanned_value
- all_other_fields.inplacelandwaterprotectioninpa_value
- all_other_fields.inplacelandwaterprotectioninvasivecontrol_value
- all_other_fields.inplacelandwaterprotectionpercentprotected_value
- all_other_fields.inplacelandwaterprotectionsitesidentified_value
- all_other_fields.inplaceresearchmonitoringscheme_value
- all_other_fields.inplaceresearchrecoveryplan_value
- all_other_fields.inplacespeciesmanagementexsitu_value
- all_other_fields.inplacespeciesmanagementharvestplan_value
- all_other_fields.internaltaxonid
- all_other_fields.locationsnumber_range
- all_other_fields.movementpatterns_pattern
- all_other_fields.nothreats_nothreats
- all_other_fields.populationsize_range
- all_other_fields.scientificname
- all_other_fields.severefragmentation_isfragmented
- all_other_fields.subpopulationnumber_range
- all_other_fields.threatsunknown_value
- all_other_fields.yearofpopulationestimate_value
- assessments.assessmentdate
- assessments.assessmentid
- assessments.conservationactions
- assessments.criteriaversion
- assessments.fid
- assessments.habitat
- assessments.internaltaxonid
- assessments.language
- assessments.population
- assessments.populationtrend
- assessments.possiblyextinct
- assessments.possiblyextinctinthewild
- assessments.range
- assessments.rationale
- assessments.realm
- assessments.redlistcategory
- assessments.redlistcriteria
- assessments.scientificname
- assessments.scopes
- assessments.systems
- assessments.threats
- assessments.usetrade
- assessments.yearlastseen
- assessments.yearpublished
- common_names.fid
- common_names.internaltaxonid
- common_names.language
- common_names.main
- common_names.name
- common_names.scientificname
- conservation_needed.assessmentid
- conservation_needed.code
- conservation_needed.fid
- conservation_needed.internaltaxonid
- conservation_needed.name
- conservation_needed.note
- conservation_needed.scientificname
- countries.assessmentid
- countries.code
- countries.fid
- countries.formerlybred
- countries.internaltaxonid
- countries.name
- countries.origin
- countries.presence
- countries.scientificname
- countries.seasonality
- credits.assessmentid
- credits.fid
- credits.full
- credits.internaltaxonid
- credits.order
- credits.scientificname
- credits.text
- credits.type
- credits.value
- dois.assessmentid
- dois.doi
- dois.fid
- dois.internaltaxonid
- dois.scientificname
- fao.assessmentid
- fao.code
- fao.fid
- fao.formerlybred
- fao.internaltaxonid
- fao.name
- fao.origin
- fao.presence
- fao.scientificname
- fao.seasonality
- habitats.assessmentid
- habitats.code
- habitats.fid
- habitats.internaltaxonid
- habitats.majorimportance
- habitats.name
- habitats.scientificname
- habitats.season
- habitats.suitability
- lme.assessmentid
- lme.code
- lme.fid
- lme.formerlybred
- lme.internaltaxonid
- lme.name
- lme.origin
- lme.presence
- lme.scientificname
- lme.seasonality
- plant_specific.assessmentid
- plant_specific.code
- plant_specific.fid
- plant_specific.internaltaxonid
- plant_specific.name
- plant_specific.scientificname
- references.assessmentid
- references.author
- references.citation
- references.fid
- references.internaltaxonid
- references.scientificname
- references.title
- references.year
- research_needed.assessmentid
- research_needed.code
- research_needed.fid
- research_needed.internaltaxonid
- research_needed.name
- research_needed.note
- research_needed.scientificname
- simple_summary.assessmentid
- simple_summary.authority
- simple_summary.classname
- simple_summary.criteriaversion
- simple_summary.familyname
- simple_summary.fid
- simple_summary.genusname
- simple_summary.infraauthority
- simple_summary.infraname
- simple_summary.infratype
- simple_summary.internaltaxonid
- simple_summary.kingdomname
- simple_summary.ordername
- simple_summary.phylumname
- simple_summary.populationtrend
- simple_summary.redlistcategory
- simple_summary.redlistcriteria
- simple_summary.scientificname
- simple_summary.scopes
- simple_summary.speciesname
- synonyms.fid
- synonyms.genusname
- synonyms.infrarankauthor
- synonyms.infratype
- synonyms.internaltaxonid
- synonyms.name
- synonyms.scientificname
- synonyms.speciesauthor
- synonyms.speciesname
- taxonomy.authority
- taxonomy.classname
- taxonomy.familyname
- taxonomy.fid
- taxonomy.genusname
- taxonomy.infraauthority
- taxonomy.infraname
- taxonomy.infratype
- taxonomy.internaltaxonid
- taxonomy.kingdomname
- taxonomy.ordername
- taxonomy.phylumname
- taxonomy.scientificname
- taxonomy.speciesname
- taxonomy.subpopulationname
- taxonomy.taxonomicnotes
- threats.ancestry
- threats.assessmentid
- threats.code
- threats.fid
- threats.ias
- threats.internaltaxonid
- threats.internationaltrade
- threats.name
- threats.scientificname
- threats.scope
- threats.severity
- threats.stresscode
- threats.stressname
- threats.text
- threats.timing
- threats.virus
- usetrade.assessmentid
- usetrade.code
- usetrade.fid
- usetrade.internaltaxonid
- usetrade.international
- usetrade.name
- usetrade.national
- usetrade.other
- usetrade.scientificname
- usetrade.subsistence
The analysis and selection of the relevant fields out of the total (216) is one of the target of the preprocessing task.