說明
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).
資料紀錄
此資源sampling event的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 138 筆紀錄。
亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。
此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。
版本
以下的表格只顯示可公開存取資源的已發布版本。
如何引用
請注意，此資料集為舊版本。 研究者應依照以下指示引用此資源。:
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
權利
研究者應尊重以下權利聲明。:
此資料的發布者及權利單位為 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 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: 3c7768dd-8101-4318-8de3-f848878eeea0。 Research Institute for Nature and Forest (INBO) 發佈此資源，並經由Belgian Biodiversity Platform同意向GBIF註冊成為資料發佈者。
關鍵字
Samplingevent; Chinese muntjac; Reeve’s muntjac; Muntiacus reevesi; roe deer; Capreolus capreolus; Belgium; alien species; TrIAS
聯絡資訊
- 出處
http://orcid.org/0000-0001-6788-5876
- 元數據提供者 ●
- 出處
- 元數據提供者 ●
- 出處 ●
- 連絡人
- 出處
- 元數據提供者 ●
- 出處
- 元數據提供者 ●
- 出處
地理涵蓋範圍
Flanders, Belgium
| 界定座標範圍 | 緯度南界 經度西界 [50.67, 2.53], 緯度北界 經度東界 [51.51, 5.94] |
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分類群涵蓋範圍
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) |
時間涵蓋範圍
| 起始日期 / 結束日期 | 2004-01-01 / 2018-01-01 |
|---|
計畫資料
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).
| 計畫名稱 | Tracking Invasive Alien Species (TrIAS) |
|---|---|
| 辨識碼 | TrIAS |
| 經費來源 | TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN). |
| 研究區域描述 | Belgium. |
| 研究設計描述 | 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. |
參與計畫的人員:
取樣方法
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.
| 研究範圍 | 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. |
|---|---|
| 品質控管 | See step description. |
方法步驟描述:
- The source data for this standardized occurrences dataset is contained in the survey database of the Research Institute of Nature and Forest (INBO).
- 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:
- 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.
引用文獻
- 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.
- 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)
- 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