説明
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).
データ レコード
この sampling event リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、274 レコードが含まれています。
拡張データ テーブルは1 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。
この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。
バージョン
次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。
引用方法
研究者はこの研究内容を以下のように引用する必要があります。:
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
権利
研究者は権利に関する下記ステートメントを尊重する必要があります。:
パブリッシャーとライセンス保持者権利者は 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.
GBIF登録
このリソースをはGBIF と登録されており GBIF UUID: 8854d25e-05f9-48f0-88da-7c413b24f535が割り当てられています。 Belgian Biodiversity Platform によって承認されたデータ パブリッシャーとして GBIF に登録されているResearch Institute for Nature and Forest (INBO) が、このリソースをパブリッシュしました。
キーワード
Samplingevent; Alien species; plants; Crassula helmsii; New Zealand pigmyweed; Flanders; Belgium; TrIAS; Samplingevent
連絡先
- 最初のデータ採集者 ●
- 連絡先
http://orcid.org/0000-0002-4756-4247
- 最初のデータ採集者
- 最初のデータ採集者
- メタデータ提供者 ●
- 最初のデータ採集者
- メタデータ提供者
地理的範囲
Flanders, Belgium.
| 座標（緯度経度） | 南 西 [50.67, 2.54], 北 東 [51.51, 5.94] |
|---|
生物分類学的範囲
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) |
時間的範囲
| 開始日 / 終了日 | 2013-06-12 / 2013-09-26 |
|---|
プロジェクトデータ
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).
| タイトル | Tracking Invasive Alien Species (TrIAS) |
|---|---|
| 識別子 | TrIAS |
| ファンデイング | TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN). |
| Study Area Description | Belgium. |
| 研究の意図、目的、背景など（デザイン） | 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. |
プロジェクトに携わる要員:
収集方法
Braun-Blanquet cover-abundance scale for vegetation analysis
| Study Extent | Flanders |
|---|
Method step description:
- 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.
書誌情報の引用
- 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
追加のメタデータ
| 目的 | 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. |
|---|---|
| 代替識別子 | 8854d25e-05f9-48f0-88da-7c413b24f535 |
| https://ipt.inbo.be/resource?r=invasive-crassula-occurrences |