Description
Observations.be - Non-native species occurrences in Wallonia, Belgium is a species occurrence dataset published by Natagora. The dataset contains over 190,000 occurrences of animal, plant and 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 327 447 enregistrements.
Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour 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.
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 (2024). Observations.be - Non-native species occurrences in Wallonia, Belgium. Version 1.42. Natagora. Occurrence dataset. 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. En vertu de la loi, l'éditeur a abandonné ses droits par rapport à ces données et les a dédié au Domaine Public (CC0 1.0). Les utilisateurs peuvent copier, modifier, distribuer et utiliser ces travaux, incluant des utilisations commerciales, sans aucune 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; Occurrence
Contacts
- Fournisseur Des Métadonnées ●
- Créateur
http://orcid.org/0000-0002-2068-7976
- Fournisseur Des Métadonnées ●
- Créateur ●
- Personne De Contact
- Fournisseur Des Métadonnées ●
- Créateur
- Fournisseur Des Métadonnées ●
- Créateur
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 | 1924-07-24 / 2030-12-31 |
|---|
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:
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:
- Not provided
Citations bibliographiques
- 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 |