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Invasive species - Chinese muntjac (Muntiacus reevesi) in Flanders, Belgium

最新バージョン Research Institute for Nature and Forest (INBO) によって公開 Mar 14, 2019 Research Institute for Nature and Forest (INBO)

Invasive species - Chinese muntjac (Muntiacus reevesi) in Flanders, Belgium is a sampling event dataset published by the Research Institute of Nature and Forest (INBO). It contains information on 120 sampling events with 64 validated occurrences of invasive muntjac (M. reevesi) and native roe deer (Capreolus capreolus) starting from 2004. These occurrences mainly originate from casual observations or cullings of individuals. Here the dataset is published as a standardized Darwin Core Archive and includes for each event: a stable eventID, date and location of 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, sex, life stage, and a reference to the observer and identifier 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 INBO norms for data use (https://www.inbo.be/en/norms-data-use) 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 opendata@inbo.be.

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、138 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。

  • Event (コア)
    138
  • Occurrence 
    69

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。

ダウンロード

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 138 レコード English で (12 KB) - 更新頻度: as needed
EML ファイルとしてのメタデータ ダウンロード English で (20 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (17 KB)

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。:

Casaer J, Devisscher S, Adriaens T, Brosens D, Desmet P, Reyserhove L (2018): Invasive species - Chinese muntjac (Muntiacus reevesi) in Flanders, Belgium. v1.1. Research Institute for Nature and Forest (INBO). Dataset/Samplingevent. https://ipt.inbo.be/resource?r=invasive-muntjak-occurrences&v=1.1

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: 3c7768dd-8101-4318-8de3-f848878eeea0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; Chinese muntjac; Reeve’s muntjac; Muntiacus reevesi; roe deer; Capreolus capreolus; Belgium; alien species; TrIAS

連絡先

リソースを作成した人:

Jim Casaer
Research Institute for Nature and Forest (INBO) BE
Sander Devisscher
Research Institute for Nature and Forest (INBO) BE
Tim Adriaens
Research Institute for Nature and Forest (INBO) BE +32497354796
Dimitri Brosens
Research Institute for Nature and Forest (INBO) / Belgian Biodiversity Platform BE
Peter Desmet
Research Institute for Nature and Forest (INBO) BE
Lien Reyserhove
Research Institute for Nature and Forest (INBO) BE

リソースに関する質問に答えることができる人:

Tim Adriaens
Research Institute for Nature and Forest (INBO) BE +32497354796

メタデータを記載した人:

Sander Devisscher
Research Institute for Nature and Forest (INBO) BE
Tim Adriaens
Research Institute for Nature and Forest (INBO) BE +32497354796
Peter Desmet
Research Institute for Nature and Forest (INBO) BE
Lien Reyserhove
Research Institute for Nature and Forest (INBO)

地理的範囲

Flanders, Belgium

座標(緯度経度) 南 西 [50.67, 2.53], 北 東 [51.51, 5.94]

生物分類学的範囲

This survey reports on the occurrences of the invasive Chinese muntjac (Muntiacus reevesi) and roe deer (Capreolus capreolus) in Flanders in the wild. Chinese muntjac is listed as an invasive species of EU concern sensu the EU Regulation 1143/2014, which requires member states to prevent or manage its introduction and spread.

Kingdom  Animalia
Phylum  Chordata
Class  Mammalia
Species  Muntiacus reevesi (Chinese muntjac),  Capreolus capreolus (roe deer)

時間的範囲

開始日 / 終了日 2004-01-01 / 2018-01-01

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:

論文著者
Tim Adriaens
論文著者
Peter Desmet
研究代表者
Quentin Groom
論文著者
Diederik Strubbe
論文著者
Sonia Vanderhoeven

収集方法

Every observation is reported to the INBO through email (faunabeheer@inbo.be), by telephone or other means. A standard field observations form is provided in Casaer et al. (2015). This form includes: date, site name, name of the observer, location, hour of arrival at and departure from the site, weather conditions (temperature, wind, fog, cloud cover, rain), species information (muntjak or roe deer), sex, life stage (adult or juvenile), total amount of individuals observed or culled. This form is transmitted to the INBO and fed into the INBO survey database.

Study Extent This dataset contains validated observational data (observations, roadkill) of muntjac and roe deer in Flanders reported directly to the Research Institute for Nature and Forest (INBO). Observations were made by citizens or hunters. It also contains data from muntjac that are subject to a control campaign in Flanders under coordination of the Agency for Nature and Forest (ANB). This mostly involves coordinated shooting of muntjac from high seats.
Quality Control See step description.

Method step description:

  1. The source data for this standardized occurrences dataset is contained in the survey database of the Research Institute of Nature and Forest (INBO).
  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-muntjak-occurrences/scr) 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.

書誌情報の引用

  1. Casaer J, Boone N, Devisscher S, Vercammen J, Adriaens T (2015) Best practice voor beheer van Chinese muntjak Muntiacus reevesi in Vlaanderen. Rapporten van het Instituut voor Natuur- en Bosonderzoek 2015 (INBO.R.2015.7092003). Instituut voor Natuur- en Bosonderzoek, Brussel.
  2. Regulation (EU) No 1143/2014 of the European Parliament and of the Council of 22 October 2014 on the prevention and management of the introduction and spread of invasive alien species. Official Journal of the European Union 317, 4.11.2014, p. 35–55 (BG, ES, CS, DA, DE, ET, EL, EN, FR, GA, HR, IT, LV, LT, HU, MT, NL, PL, PT, RO, SK, SL, FI, SV)
  3. 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

代替識別子 https://ipt.inbo.be/resource?r=invasive-muntjak-occurrences