Observations.be - Non-native species occurrences in Wallonia, Belgium

Versão mais recente publicado por Natagora em Jul 13, 2020 Natagora

Observations.be - Non-native species occurrences in Wallonia, Belgium is a species occurrence dataset published by Natagora. The dataset contains over 150,000 occurrences of 324 animal, 1,169 plant and 1 fungal non-native species, recorded by volunteers (citizen scientists), mainly since 2008. The occurrences are derived from the database http://www.observations.be, an initiative from the nature conservation NGO Natagora (https://www.natagora.be) in collaboration with Stichting Natuurinformatie and Natuurpunt. Standardized information regarding the occurrence's sex, reproductiveCondition, behavior, occurrenceRemarks, and samplingProtocol is included as well. Issues with the dataset can be reported at https://github.com/trias-project/natagora-alien-occurrences

Generalized and/or withheld information: for some occurrences, location information is generalized to grid cells, as requested by the observer (usually to avoid disturbance or collecting). Observer name, toponyms, and photographs are not included in the published dataset, but are known in the source database.

We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate however, if you read and follow these norms for data use (https://www.natagora.be/donnees_naturalistes_usage) and provide a link to the original data set whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to provide more information or know how you have used the data, so please contact us via the contact information provided in the metadata or via biodata@natagora.be.

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 154,508 registros.

Este IPT armazena os dados e, portanto, serve como um repositório de dados. Os dados e os metadados do recurso estão disponíveis para download no seção de downloads. A tabela de versões lista outras versões do recurso que foram disponibilizadas ao público e permite o rastreamento das alterações realizadas no recurso ao longo do tempo.


Baixe a última versão do recurso de dados, como um Darwin Core Archive (DwC-A) ou recurso de metadados, como EML ou RTF:

Dados como um arquivo DwC-A download 154,508 registros em English (8 MB) - Frequência de atualização: bianual
Metadados como um arquivo EML download em English (17 KB)
Metadados como um arquivo RTF download em English (12 KB)


A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Paquet J, Bronne L, Reyserhove L, Desmet P (2020): Observations.be - Non-native species occurrences in Wallonia, Belgium. v1.4. Natagora. Dataset/Occurrence. https://doi.org/10.15468/p58ip1


Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é Natagora. 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

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 629befd5-fb45-4365-95c4-d07e72479b37.  Natagora publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Belgian Biodiversity Platform.


Occurrence; non-native species; citizen science; Natagora; observations.be; observation.org; Wallonia; Observation; non-native species; invasive species; exotic species; plants; animals; fungi; Wallonia; observations; citizen science; Natagora; observations.be; observation.org


Quem criou esse recurso:

Lien Reyserhove
Research Institute for Nature and Forest (INBO) BE
Peter Desmet
Research Institute for Nature and Forest (INBO) BE

Quem pode responder a perguntas sobre o recurso:

Quem preencher os metadados:

Lien Reyserhove
Data Publisher
Research Institute for Nature and Forest (INBO) BE
Peter Desmet
Research Institute for Nature and Forest (INBO) BE

Cobertura Geográfica

Walloon Region. This region is located in the south of Belgium and covers an area of 16,844 km².

Coordenadas delimitadoras Sul Oeste [49.49, 2.785], Norte Leste [50.823, 6.41]

Cobertura Taxonômica

Nenhuma descrição disponível

Reino  Plantae (Plants),  Animalia (Animals),  Fungi (Fungi)

Cobertura Temporal

Data Inicial / Data final 1925-08-31 / 2020-06-30

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)
Identificador 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 the Open science lab for biodiversity (https://twitter.com/oscibio) 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:

Pesquisador Principal
Quentin Groom
Diederik Strubbe
Sonia Vanderhoeven

Métodos de Amostragem

The observations (species, date, location, observer) were recorded by volunteers (citizen scientists) at http://www.observations.be. The dataset is a mixture of presence-only data and checklists.

Área de Estudo See geographic coverage.
Controle de Qualidade Recorded data are constantly verified by species group specialists (including professionals) taking collection specimens, the observer’s species knowledge, added photographs and known species list of locations into account. The validation procedure from observations.be consists of an interactive procedure in which observers can be asked for additional information by a team of validators, after which the validator manually adds a validation status. Records that are not manually validated are additionally checked by an automated validation procedure that takes into account the number of manually validated observations within a specified date and distance range. The validation status is indicated in the field identificationVerificationStatus, the link to the original record is in references.

Descrição dos passos do método:

  1. Not provided

Citações bibliográficas

  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

Metadados Adicionais

Identificadores alternativos 629befd5-fb45-4365-95c4-d07e72479b37