The Monitoring of invasive alien plants in the LIFE RIPARIAS areas in Flanders, Belgium is a sampling event dataset generated by Landmax (https://landmax.be) and published by the Agency for nature and forests (ANB) (Flanders, Belgium). The data are collected in the context of targeted monitoring on watercourses and ponds within the river basins of the Dijle, Zenne and Mark, during the summer of 2022. Only invasive alien species are presented in this dataset. The data are published as a standardized Darwin Core Archive and includes for each sampling event record an event ID, location, date and time (in the event core), supplemented with information about the occurrence of a species and its abundance (in the occurrence extension) and any measurements associated with the occurrence (in the measurements or facts extension).Issues with the dataset can be reported at https://github.com/riparias/anb-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 firstname.lastname@example.org.
The data in this sampling event 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 1,845 records.
2 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.
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.
Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Lequeu J, Pardon N, Reyserhove L, Oldoni D (2022): Monitoring of invasive alien plants in the LIFE RIPARIAS areas in Flanders, Belgium. v1.1. Agency for Nature and Forests (Flemish Government). Dataset/Samplingevent. https://ipt.inbo.be/resource?r=anb-plants-occurrences&v=1.1
Researchers should respect the following rights statement:
The publisher and rights holder of this work is Agency for Nature and Forests (Flemish Government). This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.
This resource has been registered with GBIF, and assigned the following GBIF UUID: ed5b2e6b-3013-4177-bf40-726b1f215568. Agency for Nature and Forests (Flemish Government) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Belgian Biodiversity Platform.
Samplingevent; Riparian plants; water plants; Invasive alien species; Agency for nature and forests; ANB; LIFE RIPARIAS
Who created the resource:
Who can answer questions about the resource:
Who filled in the metadata:
Riparian zones of the Dijle, Zenne and Mark river basin in Flanders, Belgium
|Bounding Coordinates||South West [50.67, 2.53], North East [51.51, 5.94]|
Riparian plants and water plants
|Start Date / End Date||2022-06-01 / 2022-09-30|
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 (@LIFEriparias) and Facebook (LIFE Riparias)
|Title||Reaching Integrated and Prompt Action in Response to Invasive Alien Species (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:
|Study Extent||River Basins of the Dijle, Zenne and Mark in Flanders, Belgium|
|Quality Control||All inventarisations are performed and controlled by people with sufficient biological knowledge.|
Method step description:
- The source data for this standardized sampling event dataset is an Excel spreadsheet managed by the Agency for Nature and Forests.
- This data file was uploaded to a github repository (https://github.com/riparias/anb-plants-occurrences/tree/main/data/raw).
- We developed an RMarkdown (https://github.com/riparias/anb-plants-occurrences/blob/main/src/dwc_mapping.Rmd) and SQL (https://github.com/riparias/anb-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 event core (https://rs.gbif.org/core/dwc_event_2022-02-02.xml), an occurrence extension (https://rs.gbif.org/core/dwc_occurrence_2022-02-02.xml) and a measurements or facts extension (https://rs.gbif.org/extension/dwc/measurements_or_facts_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.