DEMNA-DNE : Exotic animal occurrences in Wallonia, Belgium

出現紀錄
最新版本 published by Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole (SPW – DEMNA) on 六月 6, 2023 Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole (SPW – DEMNA)

下載最新版本的 Darwin Core Archive (DwC-A) 資源,或資源詮釋資料的 EML 或 RTF 文字檔。

DwC-A資料集 下載 7,116 紀錄 在 English 中 (316 KB) - 更新頻率: 每年一次
元數據EML檔 下載 在 English 中 (26 KB)
元數據RTF文字檔 下載 在 English 中 (18 KB)

說明

"DEMNA-DNE : Exotic animal occurrences in Wallonia, Belgium" is a presence-only dataset, aggregating non-native fauna occurrences from various data sources maintained by the Département de l’Étude du Milieu Naturel et Agricole (SPW – DGARNE - DEMNA).

Original data sources compiled (listed below) are heterogeneous in the sense that they result from surveys performed by a variety of actors : Department officers, citizen observations, external partners. Geo-referencing should be carefuly done considering the term ‘FootprintWKT’ when given, as the dataset includes both grid-derived and point data.

Main original data sources gathered are the following :

"Encodage en ligne OFFH" is the core encoding module of the Département de l’Étude du Milieu Naturel et Agricole (SPW – DGARNE - DEMNA). This encoding tool (http://observatoire.biodiversite.wallonie.be/encodage) is used by the department's officers, but also by third-party users registered in the system.

"Enquêtes OFFH" are variants of the previous tool, specifically dedicated to survey exotic or invasive species. These specific surveys, set up by the Cellule interdépartementale Espèces invasives (CiEi), are open to the general public and can be found at :http://observatoire.biodiversite.wallonie.be/enquetes .

"Ecrevisses invasives" is a set of exotic crayfish data compiled and shared by Roger Cammaerts as part of the monitoring of crayfish populations in Wallonia.

All records have been validated by the department experts based on a set of rules relying on pictures, the observer’s taxonomic expertise, ecological relevance or additional information requested to the observer (see DC term :IdentificationVerificationStatus). Please notice that since 2022, the Early Warning dataset [DOI10.15468/dc2dyg] allows daily-updated access to some invasive species records and should be considered as complementary to this present dataset, without duplicates.

This dataset content is under a CC-BY license. Please make sure to quote the Département de l’Étude du Milieu Naturel et Agricole (SPW – DGARNE - DEMNA) if you make any use of the data.

Please contact the department for additional information about the dataset or about our biodiversity/IAS related activities. Returns and comments are highly appreciated.

資料紀錄

此資源出現紀錄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 7,116 筆紀錄。

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

研究者應依照以下指示引用此資源。:

DEMNA-DNE : Exotic animal occurrences in Wallonia. v1. Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole - Direction Nature et Eau (SPW – DEMNA - DNE). Dataset/Occurrence.

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 Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole (SPW – DEMNA)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: cdc76698-d92d-4a0b-b8d5-04ba3b22defd。  Service Public de Wallonie – Département d’Etude du Milieu Naturel et Agricole (SPW – DEMNA) 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

Exotic species; Animalia; Département de l'Étude du Milieu naturel et agricole; Belgium; Wallonia; TrIAS project; Occurence; Occurrence

聯絡資訊

SPW DEMNA & collaborators
  • 出處
Department officers and external contributors
Département d'Etude du Milieu Naturel et Agricole
Avenue Maréchal Juin, 23
B-5030 Gembloux
Namur
BE
Yvan Barbier
  • 元數據提供者
  • 程式設計師
Biodiversity Expert - IT manager
Department d'Etude du Milieu Naturel et Agricole
Avenue Maréchal Juin, 23
B-5030 Gembloux
Namur
BE
Maxime Coupremanne
  • 元數據提供者
  • 連絡人
Data liaison officer
Belgian Biodiversity Platform
Avenue Maréchal Juin, 23
B-5030 Gembloux
Namur
BE
Sonia Vanderhoeven
  • 審閱者
Science Officer - IAS expert
Belgian Biodiversity Platform
Avenue Maréchal Juin, 23
B-5030 Gembloux
Namur
BE
Etienne Branquart
  • 審閱者
IAS expert
Département d'Etude du Milieu Naturel et Agricole
Avenue Maréchal Juin 23
B-5030 Gembloux
Namur
BE
Adrien Latli
  • 審閱者
IAS expert
Département d'Etude du Milieu Naturel et Agricole
Avenue Maréchal Juin 23
B-5030 Gembloux
Namur
BE
Roger Cammaerts
  • 內容提供者
Biodiversity expert
BE

地理涵蓋範圍

Wallonia, Southern Belgium. Occasionally, some data can be outstide the area, in neighboring regions or countries.

界定座標範圍 緯度南界 經度西界 [49.446, 2.903], 緯度北界 經度東界 [50.849, 6.372]

分類群涵蓋範圍

The identification of exotic taxa has been done with reference to the Global Register of Introduced and Invasive Species - Belgium (DOI : 10.15468/xoidmd) implemented by the IAS experts of the department. The actual version covers 26 taxa identified at the species level or subspecies level (2).

Kingdom Animalia (Animals)

時間涵蓋範圍

起始日期 / 結束日期 1902-09-10 / 2022-11-11

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 (http://www.lifewatch.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

Multiple sources involving different types of data collection. The dataset encompasses mainly citizen observations and expert surveys.

研究範圍 Wallonia, Southern Belgium. Some opportunistic data may be slightly out of the described area. This dataset includes data from different projects that may also have very different time distributions.
品質控管 The validation of occurrence records is carried out by experts from the department. Each validator is assigned to a taxonomic group according to his expertise and has access to corresponding records. The validation may be based on a document (picture), on rules (credibility of the occurrence, of the observer expertise, etc.) or without any supporting document (additional informations provided by the observer). It is documented by the "DC-Term : IdentificationVerificationStatus". Only validated data are included in this publication. The Department is ISO9001 certified.

方法步驟描述:

  1. Fusion of different animal occurrences data sources.
  2. Selection of exotic animal taxa based on officers expertise and TrIAS Global Register of Introduced and Invasive Species - Belgium.
  3. Selection of validated occurrence data (see 'Quality Control').
  4. Darwin Core formatting and publication.

引用文獻

  1. Groom Q, Brosens D, Adriaens T, Vanderhoeven S (2017). TrIAS Data Management Plan. Version 1.2.
  2. 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
  3. Groom, Q., Desmet, P., Vanderhoeven, S. and Adriaens, T. The importance of open data for invasive alien species research, policy and management. Management of Biological Invasions 6, 2 (2015), 119–125. DOI: http://dx.doi.org/10.3391/mbi.2015.6.2.02
  4. Vanderhoeven, S., Adriaens, T., Desmet, P., Strubbe, D., & Davis, A. and Groom, Q. (2018). Mobilizing data to improve IAS policy - beyond good intentions. DOI: 10.13140/RG.2.2.15159.37285

額外的詮釋資料

This publication is to be updated on a yearly basis with new validated data integrated into the source databases and the inclusion of new exotic species in the Global Register of Introduced and Invasive Species - Belgium.

目的 The dataset was published within the framework of the TrIAS project (Tracking Invasive Alien Species, Vanderhoeven et al. 2017 - http://trias-project.be) .The aim of TrIAS is to establish an open data framework to follow the progression of exotic species, identify emerging species, assess the risk and inform the IAS policies.
維護說明 This dataset will be updated annually.
替代的識別碼 cdc76698-d92d-4a0b-b8d5-04ba3b22defd
https://ipt.biodiversity.be/resource?r=demna_zooexot