Descripción
Invasive species - Ruddy duck (Oxyura jamaicensis) in Flanders, Belgium is a sampling event dataset published by the Research Institute of Nature and Forest (INBO). It contains information on 107 sampling events with 88 validated occurrences of invasive ruddy duck (with 2 extra occurrences reporting on white-headed duck) starting from 2009. These occurrences mainly originate from observations or cullings (through shooting or trapping) of individuals associated with official control actions in Flanders, North Belgium in response to the Bern Convention Action Plan on ruddy duck eradication (Robertson et al. 2015; Bern Convention 2016; Hall 2016). The data are used for feeding the Flemish biodiversity indicator on the progress of ruddy duck eradication. Also, they are used for official reporting to the Bern Convention Action Plan on the eradication of ruddy duck from the Western Palearctic (Bern Convention 2016; Hall 2016) and, as the species is included in the list of invasive species of Union Concern since 2016, for reporting to the EU IAS Regulation (1143/2014) (European Union 2014). The data are also used for research purposes. 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
Los datos en este recurso de evento de muestreo han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 121 registros.
también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.
Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.
Versiones
La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.
¿Cómo referenciar?
Los usuarios deben citar este trabajo de la siguiente manera:
Adriaens T, Devisscher S, Brosens D, Desmet P, Reyserhove L (2024). Invasive species - Ruddy duck (Oxyura jamaicensis) in Flanders, Belgium. Version 1.8. Research Institute for Nature and Forest (INBO). Samplingevent dataset. https://doi.org/10.15468/ufhbyv
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
El publicador y propietario de los derechos de este trabajo es Research Institute for Nature and Forest (INBO). En la medida de lo posible según la ley, el publicador ha renunciado a todos los derechos sobre estos datos y los ha dedicado al Dominio público (CC0 1.0). Los usuarios pueden copiar, modificar, distribuir y utilizar la obra, incluso con fines comerciales, sin restricciones.
Registro GBIF
Este recurso ha sido registrado en GBIF con el siguiente UUID: 7522721f-4d97-4984-8231-c9e061ef46df. Research Institute for Nature and Forest (INBO) publica este recurso y está registrado en GBIF como un publicador de datos avalado por Belgian Biodiversity Platform.
Palabras clave
Samplingevent; Ruddy duck; Oxyura leucocephala; Belgium; alien species; TrIAS; Samplingevent
Contactos
- Proveedor De Los Metadatos ●
- Originador ●
- Punto De Contacto
http://orcid.org/0000-0001-7268-4200
- Proveedor De Los Metadatos
- Originador
- Proveedor De Los Metadatos ●
- Originador
- Proveedor De Los Metadatos ●
- Originador
- Proveedor De Los Metadatos
Cobertura geográfica
Flanders, Belgium.
| Coordenadas límite | Latitud Mínima Longitud Mínima [50,67, 2,53], Latitud Máxima Longitud Máxima [51,51, 5,94] |
|---|
Cobertura taxonómica
This survey reports on the occurrences of the invasive ruddy duck (Oxyura jamaicensis) in Flanders in the wild. Ruddy duck 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 (European Union 2014).
| Reino | Animalia |
|---|---|
| Filo | Chordata |
| Especie | Oxyura jamaicensis |
Cobertura temporal
| Fecha Inicial / Fecha Final | 2009-01-01 / 2023-12-06 |
|---|
Datos del proyecto
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 |
| Fuentes de Financiación | TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BRAIN). |
| Descripción del área de estudio | Belgium. |
| Descripción del diseño | 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. |
Personas asociadas al proyecto:
Métodos de muestreo
The ruddy duck occurrences mainly originate from observations performed during culling (through shooting or trapping) operations. Eradication is performed by a small operational team involving agency officials and a shooter. This is supplemented with actions taken by agency officials in public nature reserves. Every culling action is reported on a standard field form which is transmitted by the ANB to the INBO by email after the action. This form includes: date, site name, hour of arrival at and departure from the site, number of ruddy duck observed (female, male, juvenile, eggs), number of ruddy duck culled (female, male, juvenile, eggs), method used (shooting, egg destruction, use of boat, use of sound, other methods), number of shots fired with rifle or with shotgun and type of ammunition used (in case of shooting), names of team members (communicator, shooter) and tick boxes (none, moderate, strong) for assessing weather circumstances (rain, wind, fog, cloud cover), as these can influence the accuracy of shooting. These observations include actions where ruddy ducks were observed but where the action was unsuccessful as the birds could not be shot. To report on management actions, a standard data form is used. These records are then fed into the INBO survey database.
| Área de Estudio | The dataset contains data on ruddy duck observations and culling (through shooting or trapping) in Flanders. Flemish authorities launched an action plan for ruddy duck eradication in 2011 (Agentschap voor Natuur en BoThe dataset contains data on ruddy duck observations and culling (through shooting or trapping) in Flanders. Flemish authorities launched an action plan for ruddy duck eradication in 2011 (Agentschap voor Natuur en Bos 2011). Before that date, breeding pairs were locally tackled by field managers. These actions were sometimes reported in the literature and supplemented to the dataset (e.g. Spanoghe et al. 2010). Since 2012 actions are under coordination of the Agency for Nature and Forest (ANB) and the INBO and are reported to a follow-up committee where different stakeholders are represented. |
|---|---|
| Control de Calidad | See step description. |
Descripción de la metodología paso a paso:
- 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-ruddy-duck-occurrences/scr) and includes the following steps:
- Perform some basic data cleaning of the raw data.x
- 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 is published and registered with GBIF.
Referencias bibliográficas
- Agentschap voor Natuur en Bos (2011). Protocol beheer rosse stekelstaart. Interne nota.
- European Union (2014). 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
- Robertson, P., T. Adriaens, A. Caizergues, P. Cranswick, K. Devos, C. Gutiérrez-Expósito, I. Henderson, B. Hughes, A. Mill, and G. Smith. 2015. Towards the European eradication of the North American ruddy duck. Biological Invasions 17:9-12. s10530-014-0704-3
- Spanoghe G., Faveyts W., & Vermeersch G. (2010). Broedende Rosse Stekelstaarten Oxyura jamaicensis in Vlaanderen: een aanwinst ? Natuur.oriolus 76(1): 1-7.
- 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.e12414
Metadatos adicionales
| Identificadores alternativos | 7522721f-4d97-4984-8231-c9e061ef46df |
|---|---|
| https://ipt.inbo.be/resource?r=invasive-ruddy-duck-occurrences |