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Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium

Última versión Publicado por Research Institute for Nature and Forest (INBO) en May 15, 2019 Research Institute for Nature and Forest (INBO)

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).

Registros

Los datos en este evento de muestreo recurso han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 274 registros. también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.

  • Event (core)
    274
  • Occurrence 
    162

Este IPT archiva los datos, sirviendo así como repositorio de datos. Los datos y metadatos están disponibles para descargar en la sección de descargas. La tabla de versiones muestra otras versiones del recurso que se han hecho accesibles al público y permite el seguimiento de los cambios hechos al recurso en el tiempo.

Descargas

Descargue la última versión de los datos como un Archivo Darwin Core (DwC-A) o los metadatos como EML o RTF:

Datos como un archivo DwC-A descargar 274 registros en Inglés (17 KB) - Frecuencia de actualización: no planeado
Metadatos como un archivo EML descargar en Inglés (16 KB)
Metadatos como un archivo RTF descargar en Inglés (15 KB)

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

Scheers K, Packet J, Denys L, Jambon W, Brosens D (2019): Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium. v1.8. Research Institute for Nature and Forest (INBO). Dataset/Samplingevent. https://doi.org/10.15468/ckq9l7

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Research Institute for Nature and Forest (INBO). 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.

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: 8854d25e-05f9-48f0-88da-7c413b24f535.  Research Institute for Nature and Forest (INBO) publica este recurso, y está registrado en GBIF como un publicador de datos avalado por Belgian Biodiversity Platform.

Palabras Clave

Samplingevent; Alien species; plants; Crassula helmsii; New Zealand pigmyweed; Flanders; Belgium; TrIAS

Contactos

¿Quién creó el recurso?:

Kevin Scheers
Research Institute for Nature and Forest (INBO) BE
Jo Packet
Research Institute for Nature and Forest (INBO) BE
Luc Denys
Research Institute for Nature and Forest (INBO) BE
Wim Jambon
Research Institute for Nature and Forest (INBO) BE
Dimitri Brosens
Research Institute for Nature and Forest (INBO) / Belgian Biodiversity Platform BE

¿Quién puede resolver dudas acerca del recurso?:

Kevin Scheers
Research Institute for Nature and Forest (INBO) BE

¿Quién documentó los metadatos?:

Dimitri Brosens
Research Institute for Nature and Forest (INBO) / Belgian Biodiversity Platform BE
Lien Reyserhove
Research Institute for Nature and Forest (INBO) BE

Cobertura Geográfica

Flanders, Belgium.

Coordenadas límite Latitud Mínima Longitud Mínima [50.67, 2.54], Latitud Máxima Longitud Máxima [51.51, 5.94]

Cobertura Taxonómica

This survey reports on the occurrences of the invasive New Zealand pigmyweed (Crassula helmsii) in Flanders in the wild.

Reino  Plantae (plants)
Filo  Tracheophyta (vascular plants)
Especie  Crassula helmsii (New Zealand pigmyweed)

Cobertura Temporal

Fecha Inicial / Fecha Final 2013-06-12 / 2013-09-26

Datos del Proyecto

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
Fuentes de Financiación TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN).
Descripción del Área de Estudio Belgium.
Descripción del Diseño 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.

Personas asociadas al proyecto:

Métodos de Muestreo

Braun-Blanquet cover-abundance scale for vegetation analysis

Área de Estudio Flanders

Descripción de la metodología paso a paso:

  1. The source data for this dataset is the survey "Crassula helmsii standplaatsonderzoek" in the INBO NBN databse.
  2. 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:
  3. Perform some basic data cleaning of the raw data
  4. Generate stable and unique identifiers for each event (eventID) and occurrence (occurrenceID).
  5. 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).
  6. Create a occurrence extension file (http://rs.gbif.org/core/dwc_occurrence_2015-07-02.xml).
  7. The resulting Darwin Core views are connected with the INBO IPT and documented with metadata.
  8. The dataset is published and registered with GBIF.

Referencias 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

Metadatos Adicionales

Propósito 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.
Identificadores Alternativos 8854d25e-05f9-48f0-88da-7c413b24f535
https://ipt.inbo.be/resource?r=invasive-crassula-occurrences