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

Dernière version Publié par Natagora le 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.

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 154,508 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées des ressources sont disponibles au téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Téléchargements

Téléchargez la dernière version de la ressource en tant qu'Archive Darwin Core (DwC-A), ou les métadonnées de la ressource au format EML ou RTF :

Données sous forme de fichier DwC-A (zip) télécharger 154,508 enregistrements dans Anglais (8 MB) - Fréquence de mise à jour: bi-annuel
Métadonnées sous forme de fichier EML télécharger dans Anglais (17 KB)
Métadonnées sous forme de fichier RTF télécharger dans Anglais (12 KB)

Versions

Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

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

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est 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.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 629befd5-fb45-4365-95c4-d07e72479b37.  Natagora publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Belgian Biodiversity Platform.

Mots-clé

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

Contacts

Personne ayant créé cette ressource:

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

Personne pouvant répondre aux questions sur la ressource:

Personne ayant renseigné les métadonnées:

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

Couverture géographique

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

Enveloppe géographique Sud Ouest [49.49, 2.785], Nord Est [50.823, 6.41]

Couverture taxonomique

Pas de description disponible

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

Couverture temporelle

Date de début / Date de fin 1925-08-31 / 2020-06-30

Données sur le projet

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).

Titre Tracking Invasive Alien Species (TrIAS)
Identifiant TrIAS
Financement TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN).
Description du domaine d'étude / de recherche Belgium.
Description du 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.

Les personnes impliquées dans le projet:

Chercheur Principal
Quentin Groom
Auteur
Diederik Strubbe
Auteur
Sonia Vanderhoeven

Méthodes d'échantillonnage

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.

Etendue de l'étude See geographic coverage.
Contrôle qualité 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.

Description des étapes de la méthode:

  1. Not provided

Citations bibliographiques

  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

Métadonnées additionnelles

Identifiants alternatifs 629befd5-fb45-4365-95c4-d07e72479b37
https://ipt.biodiversity.be/resource?r=natagora-alien-occurrences