DEMNA-DNE : Exotic animal occurrences in Wallonia, Belgium

Latest version published by Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole (SPW – DEMNA) on Jul 4, 2019 Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole (SPW – DEMNA)

"DEMNA-DNE : Exotic animal occurrences in Wallonia, Belgium" is a presence-only dataset, aggregating exotic fauna occurrences from various data sources maintained by the Département de l’Étude du Milieu Naturel et Agricole (SPW – DGARNE - DEMNA).

Original data sources compiled (listed below) are heterogeneous in the sense that they result from surveys performed by a variety of actors : Department officers, citizen observations, external partners. Attention should therefore be paid to the DC term: "CollectionCode” when figuring out the features of a given record. Also, geo-referencing should be carefuly done considering the term ‘FootprintWKT’ when given, as the dataset includes both grid-derived and point data.

Main original data sources are the following :

"Encodage en ligne OFFH" (12197 records) is the core encoding module of the Département de l’Étude du Milieu Naturel et Agricole (SPW – DGARNE - DEMNA). This encoding tool (http://observatoire.biodiversite.wallonie.be/encodage) is used by the department's officers, but also by third-party users registered in the system.

"Enquêtes OFFH"(669 records) are variants of the previous tool, specifically dedicated to survey exotic or invasive species. These specific surveys, set up by the Cellule interdépartementale Espèces invasives (CiEi), are open to the general public and can be found at :http://observatoire.biodiversite.wallonie.be/enquetes .

"Ecrevisses invasives" (1618 records) is a set of exotic crayfish data compiled and shared by Roger Cammaerts as part of the monitoring of crayfish populations in Wallonia.

All records have been validated by the department experts based on a set of rules relying on pictures, the observer’s taxonomic expertise, ecological relevance or additional information requested to the observer (see DC term :IdentificationVerificationStatus).

This dataset content is under a CC-BY license. Please make sure to quote the Département de l’Étude du Milieu Naturel et Agricole (SPW – DGARNE - DEMNA) if you make any use of the data.

Please contact the department for additional information about the dataset or about our biodiversity/IAS related activities. Returns and comments are highly appreciated.

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 14,579 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.

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 14,579 records in English (666 KB) - Update frequency: annually
Metadata as an EML file download in English (20 KB)
Metadata as an RTF file download in English (18 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:

DEMNA-DNE : Exotic animal occurrences in Wallonia. v1. Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole - Direction Nature et Eau (SPW – DEMNA - DNE). Dataset/Occurrence.

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole (SPW – DEMNA). 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: cdc76698-d92d-4a0b-b8d5-04ba3b22defd.  Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole (SPW – DEMNA) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Belgian Biodiversity Platform.

Keywords

Exotic species; Animalia; Département de l'Étude du Milieu naturel et agricole; Belgium; Wallonia; TrIAS project; Occurence

Contacts

Who created the resource:

DEMNA-DNE & collaborators
Department officers and external contributors
Département d'Etude du Milieu Naturel et Agricole Avenue Maréchal Juin, 23 B-5030 Gembloux Namur BE

Who can answer questions about the resource:

Maxime Coupremanne
Data liaison officer
Belgian Biodiversity Platform Avenue Maréchal Juin, 23 B-5030 Gembloux Namur BE

Who filled in the metadata:

Yvan Barbier
Biodiversity Expert - IT manager
Department d'Etude du Milieu Naturel et Agricole Avenue Maréchal Juin, 23 B-5030 Gembloux Namur BE
Maxime Coupremanne
Data liaison officer
Belgian Biodiversity Platform Avenue Maréchal Juin, 23 B-5030 Gembloux Namur BE

Who else was associated with the resource:

Programmer
Yvan Barbier
Biodiversity Expert - IT manager
Department d'Etude du Milieu Naturel et Agricole Avenue Maréchal Juin, 23 B-5030 Gembloux Namur BE
Reviewer
Sonia Vanderhoeven
Science Officer - IAS expert
Belgian Biodiversity Platform Avenue Maréchal Juin, 23 B-5030 Gembloux Namur BE
Reviewer
Etienne Branquart
IAS expert
Département d'Etude du Milieu Naturel et Agricole Avenue Maréchal Juin 23 B-5030 Gembloux Namur BE
Reviewer
Adrien Latli
IAS expert
Département d'Etude du Milieu Naturel et Agricole Avenue Maréchal Juin 23 B-5030 Gembloux Namur BE
Content Provider
Roger Cammaerts
Biodiversity expert
BE

Geographic Coverage

Wallonia, Southern Belgium. Occasionally, some data can be outstide the area, in neighboring regions or countries.

Bounding Coordinates South West [49.446, 2.903], North East [50.848, 6.372]

Taxonomic Coverage

The identification of exotic taxa has been done with reference to the Global Register of Introduced and Invasive Species - Belgium (DOI : 10.15468/xoidmd) implemented by the IAS experts of the department. The actual version covers 53 taxa identified at the species level(51) or subspecies level (2).

Kingdom  Animalia (Animals)

Temporal Coverage

Start Date / End Date 1902-09-10 / 2019-03-13

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 (http://www.lifewatch.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

Multiple sources involving different types of data collection. The dataset encompasses mainly citizen observations and expert surveys.

Study Extent Wallonia, Southern Belgium. Some opportunistic data may be slightly out of the described area. This dataset includes data from different projects that may also have very different time distributions.
Quality Control The validation of occurrence records is carried out by experts from the department. Each validator is assigned to a taxonomic group according to his expertise and has access to corresponding records. The validation may be based on a document (picture), on rules (credibility of the occurrence, of the observer expertise, etc.) or without any supporting document (additional informations provided by the observer). It is documented by the "DC-Term : IdentificationVerificationStatus". Only validated data are included in this publication. The Department is ISO9001 certified.

Method step description:

  1. Fusion of different animal occurrences data sources.
  2. Selection of exotic animal taxa based on officers expertise and TrIAS Global Register of Introduced and Invasive Species - Belgium.
  3. Selection of validated occurrence data (see 'Quality Control').
  4. Darwin Core formatting and publication.

Bibliographic Citations

  1. Groom Q, Brosens D, Adriaens T, Vanderhoeven S (2017). TrIAS Data Management Plan. Version 1.2.
  2. 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
  3. Groom, Q., Desmet, P., Vanderhoeven, S. and Adriaens, T. The importance of open data for invasive alien species research, policy and management. Management of Biological Invasions 6, 2 (2015), 119–125. DOI: http://dx.doi.org/10.3391/mbi.2015.6.2.02
  4. Vanderhoeven, S., Adriaens, T., Desmet, P., Strubbe, D., & Davis, A. and Groom, Q. (2018). Mobilizing data to improve IAS policy - beyond good intentions. DOI: 10.13140/RG.2.2.15159.37285

Additional Metadata

This publication is to be updated on a yearly basis with new validated data integrated into the source databases and the inclusion of new exotic species in the Global Register of Introduced and Invasive Species - Belgium.

Purpose The dataset was published within the framework of the TrIAS project (Tracking Invasive Alien Species, Vanderhoeven et al. 2017 - http://trias-project.be) .The aim of TrIAS is to establish an open data framework to follow the progression of exotic species, identify emerging species, assess the risk and inform the IAS policies.
Maintenance Description This dataset will be updated annually.
Alternative Identifiers cdc76698-d92d-4a0b-b8d5-04ba3b22defd
https://ipt.biodiversity.be/resource?r=demna_zooexot