DEMNA-DNE : Exotic animal occurrences in Wallonia, Belgium

Description :

 
"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.

Link GBIF portal : https://www.gbif.org/dataset/cdc76698-d92d-4a0b-b8d5-04ba3b22defd

Project :
Title : Tracking Invasive Alien Species (TrIAS)
Abstract : 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).
Funding : TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN).
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Publication dates :

First diffusion : 09/04/2021 

Last update : 08/04/2022