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Date of publication: August 22, 2024

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Date of publication: August 22, 2024

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Occurrence Metrics for Invasive Alien Species of Union Concern in EU27: A 10 km prototype using GBIF occurrence cubes

by Lina Estupinan-Suarez

This dataset includes GBIF occurrences of species listed under Regulation (EU) 1143/2014 on invasive alien species (IAS). The IAS list, adopted in 2016 and updated in 2017, 2019, and 2022, currently includes 88 species subject to strict environmental restrictions.

For this study, we used the most recent IAS list from the European Topic Centre on Biodiversity and Ecosystems (ETC BE) and the European Environment Agency (EEA) as of June 2 ...(continue reading)

10.25829/w0vf54
Data: netCDF (2.75MB)
Metadata: ACDD (JSON) | EML (XML)

Invasive alien species of union concernEuropean UnionSpecies occurrenceBasis of recordCube occurrenceGBIF records

83
The title of the dataset. Occurrence Metrics for Invasive Alien Species of Union Concern in EU27: A 10 km prototype using GBIF occurrence cubes
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
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This dataset includes GBIF occurrences of species listed under Regulation (EU) 1143/2014 on invasive alien species (IAS). The IAS list, adopted in 2016 and updated in 2017, 2019, and 2022, currently includes 88 species subject to strict environmental restrictions.

For this study, we used the most recent IAS list from the European Topic Centre on Biodiversity and Ecosystems (ETC BE) and the European Environment Agency (EEA) as of June 2024. We matched these species' scientific names with the GBIF backbone taxonomy to obtain the accepted GBIF names and species keys.

Using the GBIF API in R, we generated CSV cubes of species occurrences, applying the EEA spatial grid at a 10 km resolution. Monthly occurrence data were collected for 77 species, and the following metrics were calculated for each grid cell in the cube:
• Total number of occurrences
• Earliest date of occurrences
• Latest date of occurrences
• Basis of record for the earliest date of occurrences
• Basis of record for the latest date of occurrences

This dataset was developed by the Biodiversity Building Blocks for Policy (B3) project and was funded by the European Union’s Horizon Europe Research and Innovation Programme (ID No 101059592).
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https://doi.org/
10.15468/dl.m4694q
The method of production of the original data.
Hover to see a suggestion for a minimum description. These are the general steps to calculate the metrics of IAS of union concern based on GBIF records:

1. The field Currently valid full name from the latest IAS list by ETC in June 2024 was matched against the GBIF backbone taxonomy [1]. Thus, we obtained the accepted scientific name in GBIF and the corresponding species key. All names had an EXACT match, but four of them were considered SYNONYMS. We replaced all four SYNONYMS with the corresponding ACCEPTED scientific name and species key.

2. Using the Species occurrence cubes software developed by B3 and GBIF [2], we created species occurrence cubes in a CSV format matching the EEA grid at 10 Km for records available from 1900 until mid June 2024. The query is in a JSON file and available at GitHub as well as the R script to submit the JSON query using GBIF API [3]. Importantly only records for 77 species were found.

3. We loaded the CSV occurrence cubes using the b3gbi library, and calculated the following metrics: total number of occurrences, earliest date of records, latest date of records, basis of record of the earliest date, and basis of records of the latest date.

4. After rasterization of the metrics, data was converted to the EBVCube format.

Steps 2 to 5 were conducted in R. All scripts are available at GitHub [3]

[1]https://www.gbif.org/tools/species-lookup
[2]https://techdocs.gbif.org/en/data-use/data-cubes
[3]https://github.com/EBVcube/B-Cubed_data_mobilization
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The name of the Project.
The URL from the project website. https://b-cubed.eu/
The name of the person or other creator type principally responsible for creating this data.
The email of the person or other creator type principally responsible for creating this data. lina.estupinans@gmail.com
lina.estupinans@idiv.de
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Please select the CC license from the list. We recommend the use of CC BY 4.0

Essential Biodiversity Variables

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Genetic composition
Intraspecific genetic diversity
Genetic differentiation
Effective population size
Inbreeding
Other
Species populations
Species distributions
Species abundances
Other
Species traits
Morphology
Physiology
Phenology
Movement
Other
Community composition
Community abundance
Taxonomic and phylogenetic diversity
Trait diversity
Interaction diversity
Other
Ecosystem functioning
Primary productivity
Ecosystem phenology
Ecosystem disturbances
Other
Ecosystem structure
Live cover fraction
Ecosystem distribution
Ecosystem Vertical Profile
Other
Ecosystem services
Pollination
Other
Cross-cutting

Biological entity

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Species
Communities
Ecosystems
Other
None
A description of the range of taxa or ecosystem types addressed in the dataset. E.g. "300 species of mammals”, “Forests”, etc.
The reference as a URL. N/A

Metric

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Scenario

Spatial domain

Global
Continental/Regional
National
Sub-national/Local
Name of the continent/region/country/area, separated by comma
meter
southWest lat: 700000, lon: 0
northEast lat: 7500000, lon: 8400000

Temporal domain

The targeted time period between each value in the dataset.
decadal
annually
monthly
weekly
daily
Other
Irregular
Single time
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When the dataset represents a Single time, then use the same start and end date.
__

Environmental domain *

Terrestrial
Marine
Freshwater
Miscellaneous information about the data, not captured elsewhere. Of the 87 species included in the EU list of IAS of concern, we found data for 77 species through the generation of species occurrence cubes. From the remaining ten, two are subspecies (Herpestes javanicus auropunctatus; Vespa velutina nigrithorax) and one is a variety (Pueraria montana var. lobata) that cannot be identified by the speciesKey. For the others species there is no data in GBIF and therefore they were not included.

Of the 77 species, 73 species have the same scientific name in the GBIF Backbone taxonomy and in the EEA updated offcial list. In other words the scientific name holds the category ACCEPTED. For the SYNONYMS, we used the ACCEPTED name in GBIF. Below the list of corresponding scientific names.

1. ETC SCIENTIFIC NAME: Cortaderia selloana subsp. jubata (Lemoine) Testoni & Villamil; GBIF SCIENTIFIC NAME: Cortaderia jubata (Lemoine) Stapf
2. ETC SCIENTIFIC NAME: Heracleum persicum Fischer; GBIF SCIENTIFIC NAME: Heracleum persicum Desf.
3. ETC SCIENTIFIC NAME: Neltuma juliflora (Sw.) Raf.; GBIF SCIENTIFIC NAME: Prosopis juliflora (Sw.) DC.
4. ETC SCIENTIFIC NAME: Urva auropunctata (Hodgson, 1836), GBIF SCIENTIFIC NAME: Herpestes javanicus subsp. auropunctatus (Hodgson, 1836)

The 10 species with no records via the GBIF occurrence cube software are listed using the GBIF Backbone Taxonomy. If the scientific name differs from the ETC nomenclature this is indicated in square brackets.
- Channa argus (Cantor, 1842)
- Cortaderia jubata (Lemoine) Stapf [Cortaderia selloana subsp. jubata (Lemoine) Testoni & Villamil]
- Limnoperna fortunei (Dunker, 1857)
- Morone americana (Gmelin, 1789)
- Plotosus lineatus (Thunberg, 1787)
- Pueraria montana var. lobata (Willd.) Maesen & S.M.Almeida ex Sanjappa & Predeep
- Solenopsis geminata (Fabricius, 1804)
- Solenopsis richteri Forel, 1909
- Herpestes javanicus subsp. auropunctatus (Hodgson, 1836) [Urva auropunctata (Hodgson, 1836)]
- Vespa velutina nigrithorax Buysson, 1905

***Coding for Basis of record
[1] "HUMAN_OBSERVATION"
[2] "LIVING_SPECIMEN"
[3] "MACHINE_OBSERVATION"
[4] "MATERIAL_CITATION"
[5] "MATERIAL_SAMPLE"
[6] "OBSERVATION"
[7] "OCCURRENCE"
[8] "PRESERVED_SPECIMEN"