Description
Monitoring of invasive alien species by the Province East Flanders, Belgium dataset is an occurrence dataset published by the Province East Flanders (Belgium). The dataset is created by ad-hoc in-field spotting of invasive species. Here it is published as a standardized Darwin Core Archive and includes for each occurrence record an occurrenceID, date, location, quantification where available and scientific name. Issues with the dataset can be reported at https://github.com/riparias/pov-ias-plants-occurrences/issues.
We have released this dataset to the public domain under a Creative Commons Attribution License. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.
Data Records
The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 1,118 records.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versions
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Mahieu F, Van Roeyen K, Oldoni D, Reyserhove L (2024). Monitoring of invasive alien species by the Province East Flanders, Belgium. Version 1.81. Province East Flanders. Occurrence dataset. https://ipt.inbo.be/resource?r=pcm-ias-plant-occurrences&v=1.81
Rights
Researchers should respect the following rights statement:
The publisher and rights holder of this work is Province East Flanders. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
This resource has been registered with GBIF, and assigned the following GBIF UUID: 4ba6a4ac-bf1c-4631-a6d5-4f2d29d22e40. Province East Flanders publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Belgian Biodiversity Platform.
Keywords
Occurrence; Observation; invasive alien species; province East-Flanders; LIFE RIPARIAS
Contacts
- Metadata Provider ●
- Originator ●
- Point Of Contact
- Originator
http://orcid.org/0000-0003-3445-7562
- Originator
Geographic Coverage
East-Flanders
| Bounding Coordinates | South West [50.67, 2.53], North East [51.51, 5.94] |
|---|
Taxonomic Coverage
Invasive alien species, not limited to a regulation (i.e. EU) list
| Kingdom | Plantae (plants) |
|---|
Temporal Coverage
| Start Date / End Date | 2015-01-01 / 2022-10-17 |
|---|
Project Data
The spread of invasive alien species (IAS) is not hampered by administrative borders. Aquatic IAS, in particular, spread rapidly through the hydrographic network. To effectively control such species requires coordinated management at higher spatial scales. LIFE RIPARIAS (Reaching Integrated and Prompt Action in Response to Invasive Alien Species) aims to achieve such coordination across regional borders in Belgium, supported by open data and open infrastructure for early warning and management reporting. LIFE RIPARIAS aims at improving decision making on IAS management, early warning systems and management reporting tools. To this end, it develops an evidence-based workflow, translating national management objectives into concrete actions in an efficient manner. Ultimately the project aims at increasing the conservation status of aquatic and riparian habitats. More information on LIFE RIPARIAS is available at the project homepage: https://www.riparias.be/. You can also follow LIFE RIPARIAS on Twitter and Facebook.
| Title | Reaching Integrated and Prompt Action in Response to Invasive Alien Species (LIFE RIPARIAS) |
|---|---|
| Identifier | LIFE RIPARIAS |
| Funding | LIFE RIPARIAS is co-funded by the three Belgian regions and the European Union in the framework of the LIFE Programme (LIFE19 NAT/BE/000953). It is running from 2021 to 2026. |
| Study Area Description | Dijle, Mark and Zenne river basin of the Scheldt district, Belgium. |
| Design Description | LIFE RIPARIAS focuses on aquatic and riparian plants as well as crayfish species located in the Dijle, Mark and Zenne river basin of the Scheldt district in Belgium. Cumulative observation data collected in 2000-2015, completed by data gathered from field surveillance in 2021-2022, will provide the baseline to design management objectives and define quantitative targets. |
The personnel involved in the project:
- Author
- Author
- Author
Sampling Methods
Ad-hoc inventorisation when working on the field or performing general inventarisations.
| Study Extent | Province East Flanders and small parts around. |
|---|---|
| Quality Control | All inventarisations are performed or controlled by people with sufficient biological knowledge. |
Method step description:
- The source data for this standardized occurrence dataset is retrieved from a web feature service (WFS)
- This data file was uploaded to a github repository (https://github.com/riparias/pov-ias-plants-occurrences/blob/main/data/raw/invasieve_uitheemse_soorten.csv
- We developed a RMarkdown (https://github.com/riparias/pov-ias-plants-occurrences/blob/main/src/dwc_mapping.Rmd) and SQL (https://github.com/riparias/pov-ias-plants-occurrences/tree/main/sql) script to document and perform the transformation of the data to Darwin Core, which includes transforming the data to an occurrence core (https://rs.gbif.org/core/dwc_occurrence_2022-02-02.xml)
- The resulting Darwin Core data files are uploaded to the INBO IPT and documented with metadata.
- The dataset is published and registered with GBIF.
Additional Metadata
| Alternative Identifiers | 4ba6a4ac-bf1c-4631-a6d5-4f2d29d22e40 |
|---|---|
| https://ipt.inbo.be/resource?r=pcm-ias-plant-occurrences |