"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" (14506 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"(2064 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.
Registros de Dados
Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 1.679 registros.
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.
Baixe a última versão do recurso de dados, como um Darwin Core Archive (DwC-A) ou recurso de metadados, como EML ou RTF:
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
Pesquisadores deveriam citar esta obra da seguinte maneira:
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.
Pesquisadores devem respeitar a seguinte declaração de direitos:
O editor e o detentor dos direitos deste trabalho é 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.
Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: cdc76698-d92d-4a0b-b8d5-04ba3b22defd. Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole (SPW – DEMNA) publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Belgian Biodiversity Platform.
Exotic species; Animalia; Département de l'Étude du Milieu naturel et agricole; Belgium; Wallonia; TrIAS project; Occurence; Occurrence
Quem criou esse recurso:
Quem pode responder a perguntas sobre o recurso:
Quem preencher os metadados:
Quem mais foi associado com o recurso:
Wallonia, Southern Belgium. Occasionally, some data can be outstide the area, in neighboring regions or countries.
|Coordenadas delimitadoras||Sul Oeste [49,446, 2,903], Norte Leste [50,849, 6,372]|
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 85 taxa identified at the species level or subspecies level (2).
|Data Inicial / Data final||1902-09-10 / 2021-12-31|
Dados Sobre o Projeto
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).
|Título||Tracking Invasive Alien Species (TrIAS)|
|Financiamento||TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN).|
|Descrição da Área de Estudo||Belgium|
|Descrição do Design||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.|
O pessoal envolvido no projeto:
Métodos de Amostragem
Multiple sources involving different types of data collection. The dataset encompasses mainly citizen observations and expert surveys.
|Área de Estudo||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.|
|Controle de Qualidade||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.|
Descrição dos passos do método:
- Fusion of different animal occurrences data sources.
- Selection of exotic animal taxa based on officers expertise and TrIAS Global Register of Introduced and Invasive Species - Belgium.
- Selection of validated occurrence data (see 'Quality Control').
- Darwin Core formatting and publication.
- Groom Q, Brosens D, Adriaens T, Vanderhoeven S (2017). TrIAS Data Management Plan. Version 1.2.
- 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
- 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
- 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
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.
|Propósito||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.|
|Descrição da manutenção||This dataset will be updated annually.|