Description
Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium is a sampling event dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 274 sampling events with 162 occurrences of invasive New Zealand pigmyweed starting from 2013. This dataset is a subset of a larger vegetation analysis and focuses only on the Crassula helmsii occurrences. Here the dataset is published as a standardized Darwin Core Archive and includes for each event: a stable eventID, date and location of the observation, and a short description of the sampling protocol (in the event core), supplemented with specific information for each occurrence: a stable occurrenceID, the scientific name and higher classification of the observed species, the number of recorded individuals and a reference to the observer of the record (in the occurrence extension). Issues with the dataset can be reported at https://github.com/inbo/data-publication/issues
We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project.
This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO).
Enregistrements de données
Les données de cette ressource données d'échantillonnage 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 274 enregistrements.
1 tableurs de données d'extension existent également. Un enregistrement d'extension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre d'enregistrements dans chaque tableur de données d'extension est illustré ci-dessous.
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:
Scheers K, Packet J, Denys L, Jambon W, Brosens D (2021): Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium. v1.9. Research Institute for Nature and Forest (INBO). Dataset/Samplingevent. https://doi.org/10.15468/ckq9l7
Droits
Les chercheurs doivent respecter la déclaration de droits suivante:
L’éditeur et détenteur des droits de cette ressource est Research Institute for Nature and Forest (INBO). 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 : 8854d25e-05f9-48f0-88da-7c413b24f535. Research Institute for Nature and Forest (INBO) publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Belgian Biodiversity Platform.
Mots-clé
Samplingevent; Alien species; plants; Crassula helmsii; New Zealand pigmyweed; Flanders; Belgium; TrIAS; Samplingevent
Contacts
- Créateur ●
- Personne De Contact
- Créateur
- Créateur
- Fournisseur Des Métadonnées ●
- Créateur
- Fournisseur Des Métadonnées
Couverture géographique
Flanders, Belgium.
Enveloppe géographique | Sud Ouest [50,67, 2,54], Nord Est [51,51, 5,94] |
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Couverture taxonomique
This survey reports on the occurrences of the invasive New Zealand pigmyweed (Crassula helmsii) in Flanders in the wild.
Kingdom | Plantae (plants) |
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Phylum | Tracheophyta (vascular plants) |
Species | Crassula helmsii (New Zealand pigmyweed) |
Couverture temporelle
Date de début / Date de fin | 2013-06-12 / 2013-09-26 |
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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) |
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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 LifeWatch INBO (http://lifewatch.inbo.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. |
Les personnes impliquées dans le projet:
Méthodes d'échantillonnage
Braun-Blanquet cover-abundance scale for vegetation analysis
Etendue de l'étude | Flanders |
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Description des étapes de la méthode:
- The source data for this dataset is the survey "Crassula helmsii standplaatsonderzoek" in the INBO NBN databse.
- A SQL script was developed to extract and transform the data to Darwin Core. This mapping script was uploaded to a GitHub repository (https://github.com/inbo/data-publication/tree/master/datasets/invasive-crassula-occurrences/src) and includes the following steps:
- Perform some basic data cleaning of the raw data
- Generate stable and unique identifiers for each event (eventID) and occurrence (occurrenceID).
- Create an event core file with all sampling events whether or not the target species was observed (http://rs.gbif.org/core/dwc_event_2016_06_21.xml).
- Create a occurrence extension file (http://rs.gbif.org/core/dwc_occurrence_2015-07-02.xml).
- The resulting Darwin Core views are connected with the INBO IPT and documented with metadata.
- The dataset is published and registered with GBIF.
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
Objet | The dataset was created to analyse and study the habitat of Crassula helmsii in Flanders. Only the Crassula helmsii occurrences were published, to make sure these occurrences can be used for the TrIAS project. |
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Identifiants alternatifs | 8854d25e-05f9-48f0-88da-7c413b24f535 |
https://ipt.inbo.be/resource?r=invasive-crassula-occurrences |