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

Последняя версия опубликована Research Institute for Nature and Forest (INBO) 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).

Записи данных

Данные этого sampling event ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 274 записей. Также в наличии 1 таблиц с данными расширений. Записи расширений содержат дополнительную информацию об основной записи. Число записей в каждой таблице данных расширения показано ниже.

  • Event (core)
    274
  • Occurrence 
    162

Данный экземпляр IPT архивирует данные и таким образом служит хранилищем (репозиторием) данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. Перечень версий служит для отображения истории публикации версий данного ресурса.

Загрузки

Скачайте последнюю версию данных этого ресурса в формате Darwin Core Archive (DwC-A) или метаданных ресурса в форматах EML или RTF:

Данные в формате DwC-A Скачать 274 Записи в English (17 KB) - Частота обновления: not planned
Метаданные в формате EML Скачать в English (16 KB)
Метаданные в формате RTF Скачать в English (15 KB)

Версии

В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.

Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

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

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является 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.

Регистрация в GBIF

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 8854d25e-05f9-48f0-88da-7c413b24f535.  Research Institute for Nature and Forest (INBO) отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке Belgian Biodiversity Platform.

Ключевые слова

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

Контакты

Кто является создателем ресурса:

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

Кто может ответить на вопросы о ресурсе:

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

Кем заполнены метаданные:

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

Географический охват

Flanders, Belgium.

Ограничивающие координаты Юг Запад [50.67, 2.54], Север Восток [51.51, 5.94]

Таксономический охват

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

Kingdom  Plantae (plants)
Phylum  Tracheophyta (vascular plants)
Species  Crassula helmsii (New Zealand pigmyweed)

Временной охват

Дата начала / Дата окончания 2013-06-12 / 2013-09-26

Данные проекта

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).

Название Tracking Invasive Alien Species (TrIAS)
Идентификатор TrIAS
Финансирование TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN).
Описание района исследования Belgium.
Описание плана выполнения исследований 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.

Исполнители проекта:

Методы сбора

Braun-Blanquet cover-abundance scale for vegetation analysis

Охват исследования Flanders

Описание этапа методики:

  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.

Библиографические ссылки

  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

Дополнительные метаданные

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