MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany

Versão mais recente publicado por Research Institute for Nature and Forest (INBO) em Mar 18, 2021 Research Institute for Nature and Forest (INBO)

MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany is an occurrence dataset published by the Research Institute of Nature and Forest (INBO). It is part of the LIFE project MICA, in which innovative techniques are tested for a more efficient control of muskrat and coypu populations, both invasive species. The dataset contains camera trap observations of muskrat and coypu, as well as many other observed species. The collected data are managed and annotated in Agouti (https://agouti.eu). Here the dataset is published as a standardized Darwin Core Archive and includes for each occurrence record an occurrenceID, date, location, the number of recorded individuals, and scientific name (in the occurrence core) and all associated camera trap images (in the multimedia extension). Issues with the dataset can be reported at https://github.com/inbo/mica-occurrences/issues

Generalized and/or withheld information: to prevent camera trap theft, coordinates are rounded to 3 decimals (111m).

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 collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. The data were collected as part of the MICA project, which received funding from the European Union’s LIFE Environment sub-programme under the grant agreement LIFE18 NAT/NL/001047. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

Registros de Dados

Os dados deste recurso de ocorrência 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 24,645 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.

  • Occurrence (core)
    24645
  • Multimedia 
    398131

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 24,645 registros em English (6 MB) - Frequência de atualização: desconhecido
Metadados como um arquivo EML download em English (21 KB)
Metadados como um arquivo RTF download em English (16 KB)

Versões

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

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Cartuyvels E, Adriaens T, Baert K, Brosens D, Casaer J, Devisscher S, Donckers D, Fritz H, Huysentruyt F, Lodewijkx J, Maistrelli C, Neukermans A, Slootmaekers D, Van der beeck D, Desmet P (2021): MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany. v1.6. Research Institute for Nature and Forest (INBO). Dataset/Occurrence. https://doi.org/10.15468/5tb6ze

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: 8a5cbaec-2839-4471-9e1d-98df301095dd.  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

Occurrence; Observation; camera traps; public awareness campaign‚ flood protection‚ flood control; damage prevention; animal damage; pest control‚ invasive alien species; muskrat; coypu; Occurrence

Contatos

Quem criou esse recurso:

Emma Cartuyvels
Research Institute for Nature and Forest (INBO) BE
Tim Adriaens
Research Institute for Nature and Forest (INBO) BE
Kristof Baert
Research Institute for Nature and Forest (INBO) BE
Dimitri Brosens
Research Institute for Nature and Forest (INBO) / Belgian Biodiversity Platform BE
Jim Casaer
Research Institute for Nature and Forest (INBO) BE
Sander Devisscher
Research Institute for Nature and Forest (INBO) BE
Dennis Donckers
Flanders Environment Agency (VMM) BE
Heiko Fritz
Landwirtschaftskammer Niedersachsen DE
Frank Huysentruyt
Research Institute for Nature and Forest (INBO) BE
Jan Lodewijkx
Flanders Environment Agency (VMM) BE
Claudia Maistrelli
University of Veterinary Medicine Hannover, Foundation, Institute for Terrestrial and Aquatic Wildlife Research DE
Axel Neukermans
Research Institute for Nature and Forest (INBO) BE
Dan Slootmaekers
Flanders Environment Agency (VMM) BE
Danny Van der beeck
Flanders Environment Agency (VMM) BE
Peter Desmet
Research Institute for Nature and Forest (INBO) BE

Quem pode responder a perguntas sobre o recurso:

Emma Cartuyvels
Research Institute for Nature and Forest (INBO) BE
Jim Casaer
Research Institute for Nature and Forest (INBO) BE

Quem preencher os metadados:

Emma Cartuyvels
Research Institute for Nature and Forest (INBO) BE
Dimitri Brosens
Research Institute for Nature and Forest (INBO) / Belgian Biodiversity Platform BE
Peter Desmet
Research Institute for Nature and Forest (INBO) BE

Cobertura Geográfica

Belgium (Flanders), The Netherlands and Germany.

Coordenadas delimitadoras Sul Oeste [50.67, 2.53], Norte Leste [52.65, 7.05]

Cobertura Taxonômica

The target species for this dataset are Ondatra zibethicus and Myocastor coypus, but many other species have been observed as well.

Reino  Animalia (animals)
Filo  Chordata
Class  Mammalia (mammals)
Ordem  Rodentia (rodents)
Espécie  Ondatra zibethicus (muskrat),  Myocastor coypus (coypu)

Cobertura Temporal

Data Inicial / Data final 2019-09-19 / 2021-02-02

Dados Sobre o Projeto

Invasive alien species such as the coypu and muskrat pose a major threat to biodiversity and cost millions of euros annually. By feeding on rushes and reeds, these animals cause serious damage to the environment in which they live and endangered species suffer from habitat loss. The disappearance of reeds and digging in dikes represents a safety risk for humans in the lowland areas. With the LIFE project MICA (https://lifemica.eu/), the partners from the participating countries want to develop a transnational plan for the management of coypu and muskrat populations in Europe and aim to reduce their population. The objective of an effective population control of coypu and muskrat is to protect lowlands from flooding, to prevent crop damage and loss of biodiversity. The objective of the project is to serve as a pilot and demonstration project in which ‘best practices’ are tested and new techniques are developed for a more efficient control of muskrat and coypu populations. By involving organisations from Belgium, Germany and the Netherlands, the project also promotes international cooperation and knowledge exchange in the field of muskrat and coypu management.

Título MICA - Management of Invasive Coypu and muskrAt in Europe
Identificador LIFE18 NAT/NL/001047
Financiamento LIFE programme
Descrição da Área de Estudo Belgium, the Netherlands, Germany

O pessoal envolvido no projeto:

Ponto de Contato
Emma Cartuyvels

Métodos de Amostragem

A standard protocol was followed to choose the location for the traps. The setup of camera traps was standardised for water habitat. Subsequently, 33 camera traps were deployed in four locations in Flanders and one in Germany. Once a month images were collected from the camera traps and uploaded to Agouti. Project members scored the images in Agouti.

Área de Estudo Four locations in Flanders and one in Germany were sampled using 26 camera traps in Flanders and 7 in Germany. These camera traps were located in areas where the presence of muskrat and/or coypu was suspected. The camera traps are motion triggered and therefore also collected images of other animals found in these locations.
Controle de Qualidade Data are collected using a predefined sampling protocol. All observations of muskrats, coypu, brown rats and European water voles are cross-validated by experienced project members.

Descrição dos passos do método:

  1. Camera traps are deployed in the study area.
  2. Collected images are downloaded periodically and uploaded in the camera trap data management system Agouti.
  3. Project collaborators and volunteers annotate/identify the images in Agouti.
  4. Data are exported from Agouti in the Camera DP format (https://gitlab.com/oscf/camtrap-dp).
  5. Data are converted to Darwin Core (occurrence core and multimedia extension) using a generic conversion for camera trap data (https://github.com/tdwg/dwc-for-biologging/tree/master/derived/camtrap-dp) and further enhanced using an RMarkdown script (https://github.com/inbo/mica-occurrences).
  6. The resulting Darwin Core data files are uploaded to the INBO IPT and documented with metadata.
  7. The dataset is published and registered with GBIF.

Metadados Adicionais

Identificadores alternativos 8a5cbaec-2839-4471-9e1d-98df301095dd
https://ipt.inbo.be/resource?r=mica-agouti-occurrences