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

Versão mais recente publicado por Research Institute for Nature and Forest (INBO) em 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).

Registros de Dados

Os dados deste recurso de evento de amostragem foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 138 registros. Também existem 1 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.

  • Event (core)
    138
  • Occurrence 
    69

Este IPT armazena os dados e, portanto, serve como um repositório de dados. Os dados e os metadados do recurso estão disponíveis para download no seção de downloads. A tabela de versões lista outras versões do recurso que foram disponibilizadas ao público e permite o rastreamento das alterações realizadas no recurso ao longo do tempo.

Downloads

Baixe a última versão do recurso de dados, como um Darwin Core Archive (DwC-A) ou recurso de metadados, como EML ou RTF:

Dados como um arquivo DwC-A download 138 registros em English (12 KB) - Frequência de atualização: quando necessário
Metadados como um arquivo EML download em English (20 KB)
Metadados como um arquivo RTF download em English (17 KB)

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

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

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é 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 Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 3c7768dd-8101-4318-8de3-f848878eeea0.  Research Institute for Nature and Forest (INBO) publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Belgian Biodiversity Platform.

Palavras-chave

Samplingevent; Chinese muntjac; Reeve’s muntjac; Muntiacus reevesi; roe deer; Capreolus capreolus; Belgium; alien species; TrIAS

Contatos

Quem criou esse recurso:

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

Quem pode responder a perguntas sobre o recurso:

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

Quem preencher os metadados:

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)

Cobertura Geográfica

Flanders, Belgium

Coordenadas delimitadoras Sul Oeste [50.67, 2.53], Norte Leste [51.51, 5.94]

Cobertura Taxonômica

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.

Reino  Animalia
Filo  Chordata
Class  Mammalia
Espécie  Muntiacus reevesi (Chinese muntjac),  Capreolus capreolus (roe deer)

Cobertura Temporal

Data Inicial / Data final 2004-01-01 / 2018-01-01

Dados Sobre o Projeto

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).

Título Tracking Invasive Alien Species (TrIAS)
Identificador TrIAS
Financiamento TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN).
Descrição da Área de Estudo Belgium.
Descrição do Design 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.

O pessoal envolvido no projeto:

Pesquisador Principal
Quentin Groom
Autor
Diederik Strubbe
Autor
Sonia Vanderhoeven

Métodos de Amostragem

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.

Área de Estudo 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.
Controle de Qualidade See step description.

Descrição dos passos do método:

  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.

Citações bibliográficas

  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

Metadados Adicionais

Identificadores alternativos https://ipt.inbo.be/resource?r=invasive-muntjak-occurrences