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Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium

Latest version published by Research Institute for Nature and Forest (INBO) on May 15, 2019 Research Institute for Nature and Forest (INBO)

Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium is a sampling event dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 274 sampling events with 162 occurrences of invasive New Zealand pigmyweed starting from 2013. This dataset is a subset of a larger vegetation analysis and focuses only on the Crassula helmsii occurrences. Here the dataset is published as a standardized Darwin Core Archive and includes for each event: a stable eventID, date and location of the observation, and a short description of the sampling protocol (in the event core), supplemented with specific information for each occurrence: a stable occurrenceID, the scientific name and higher classification of the observed species, the number of recorded individuals and a reference to the observer of the record (in the occurrence extension). Issues with the dataset can be reported at https://github.com/inbo/data-publication/issues

We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) 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 https://twitter.com/trias_project.

This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO).

Data Records

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 274 records. 1 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.

  • Event (core)
    274
  • Occurrence 
    162

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.

Downloads

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 274 records in English (17 KB) - Update frequency: not planned
Metadata as an EML file download in English (16 KB)
Metadata as an RTF file download in English (15 KB)

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:

Scheers K, Packet J, Denys L, Jambon W, Brosens D (2019): Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium. v1.8. Research Institute for Nature and Forest (INBO). Dataset/Samplingevent. https://doi.org/10.15468/ckq9l7

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Research Institute for Nature and Forest (INBO). To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 8854d25e-05f9-48f0-88da-7c413b24f535.  Research Institute for Nature and Forest (INBO) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Belgian Biodiversity Platform.

Keywords

Samplingevent; Alien species; plants; Crassula helmsii; New Zealand pigmyweed; Flanders; Belgium; TrIAS

Contacts

Who created the resource:

Kevin Scheers
Research Institute for Nature and Forest (INBO) BE
Jo Packet
Research Institute for Nature and Forest (INBO) BE
Luc Denys
Research Institute for Nature and Forest (INBO) BE
Wim Jambon
Research Institute for Nature and Forest (INBO) BE
Dimitri Brosens
Research Institute for Nature and Forest (INBO) / Belgian Biodiversity Platform BE

Who can answer questions about the resource:

Kevin Scheers
Research Institute for Nature and Forest (INBO) BE

Who filled in the metadata:

Dimitri Brosens
Research Institute for Nature and Forest (INBO) / Belgian Biodiversity Platform BE
Lien Reyserhove
Research Institute for Nature and Forest (INBO) BE

Geographic Coverage

Flanders, Belgium.

Bounding Coordinates South West [50.67, 2.54], North East [51.51, 5.94]

Taxonomic Coverage

This survey reports on the occurrences of the invasive New Zealand pigmyweed (Crassula helmsii) in Flanders in the wild.

Kingdom  Plantae (plants)
Phylum  Tracheophyta (vascular plants)
Species  Crassula helmsii (New Zealand pigmyweed)

Temporal Coverage

Start Date / End Date 2013-06-12 / 2013-09-26

Project Data

Imagine a future where dynamically, from year to year, we can track the progression of alien species (AS), identify emerging species, assess their current and future risk and timely inform policy in a seamless data-driven workflow. One that is built on open science and open data infrastructures. By using international biodiversity standards and facilities, we would ensure interoperability, repeatability and sustainability. This would make the process adaptable to future requirements in an evolving IAS policy landscape both locally and internationally. The project Tracking Invasive Alien Species (TrIAS) aims to do this for Belgium. For a full project description, see Vanderhoeven et al. (2017, https://doi.org/10.3897/rio.3.e13414).

Title Tracking Invasive Alien Species (TrIAS)
Identifier TrIAS
Funding TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN).
Study Area Description Belgium.
Design Description The project builds on two components: 1) The establishment of a data mobilization framework for alien species data from diverse data sources and 2) the development of data-driven procedures for risk evaluation based on risk modelling, risk mapping and risk assessment. TrIAS uses facilities from the Global Biodiversity Information Facility (GBIF, http://www.gbif.org), standards from the Biodiversity Information Standards organization (TDWG, http://www.tdwg.org) and expertise from LifeWatch INBO (http://lifewatch.inbo.be) to create and facilitate a systematic workflow. Alien species data are gathered from a large set of regional, national and international initiatives, including citizen science data, with a wide taxonomic scope from marine, terrestrial and freshwater environments. Observation data are funnelled in repeatable ways to GBIF. In parallel, a Belgian checklist of alien species is established, benefiting from various taxonomic and project-based checklists foreseen for GBIF publication.

The personnel involved in the project:

Sampling Methods

Braun-Blanquet cover-abundance scale for vegetation analysis

Study Extent Flanders

Method step description:

  1. The source data for this dataset is the survey "Crassula helmsii standplaatsonderzoek" in the INBO NBN databse.
  2. A SQL script was developed to extract and transform the data to Darwin Core. This mapping script was uploaded to a GitHub repository (https://github.com/inbo/data-publication/tree/master/datasets/invasive-crassula-occurrences/src) and includes the following steps:
  3. Perform some basic data cleaning of the raw data
  4. Generate stable and unique identifiers for each event (eventID) and occurrence (occurrenceID).
  5. Create an event core file with all sampling events whether or not the target species was observed (http://rs.gbif.org/core/dwc_event_2016_06_21.xml).
  6. Create a occurrence extension file (http://rs.gbif.org/core/dwc_occurrence_2015-07-02.xml).
  7. The resulting Darwin Core views are connected with the INBO IPT and documented with metadata.
  8. The dataset is published and registered with GBIF.

Bibliographic Citations

  1. Vanderhoeven S, Adriaens T, Desmet P, Strubbe D, Backeljau T, Barbier Y, Brosens D, Cigar J, Coupremanne M, De Troch R, Eggermont H, Heughebaert A, Hostens K, Huybrechts P, Jacquemart A, Lens L, Monty A, Paquet J, Prévot C, Robertson T, Termonia P, Van De Kerchove R, Van Hoey G, Van Schaeybroeck B, Vercayie D, Verleye T, Welby S, Groom Q (2017) Tracking Invasive Alien Species (TrIAS): Building a data-driven framework to inform policy. Research Ideas and Outcomes 3: e13414. https://doi.org/10.3897/rio.3.e13414

Additional Metadata

Purpose The dataset was created to analyse and study the habitat of Crassula helmsii in Flanders. Only the Crassula helmsii occurrences were published, to make sure these occurrences can be used for the TrIAS project.
Alternative Identifiers 8854d25e-05f9-48f0-88da-7c413b24f535
https://ipt.inbo.be/resource?r=invasive-crassula-occurrences