Registros biológicos

The VI national White Stork (Ciconia ciconia) census in Portugal (2014)

Versión 1.2 Publicado por ICNF - Instituto da Conservação da Natureza e das Florestas en 30 de noviembre de 2021 ICNF - Instituto da Conservação da Natureza e das Florestas
Fecha de publicación:
30 de noviembre de 2021
Licencia:
CC-BY 4.0

Descargue la última versión de los datos como un Archivo Darwin Core (DwC-A) o los metadatos como EML o RTF:

Datos como un archivo DwC-A descargar 5.065 registros en Portugués (419 KB)  - Frecuencia de actualización: desconocido
Metadatos como un archivo EML descargar en Inglés (14 KB)
Metadatos como un archivo RTF descargar en Inglés (15 KB)

Descripción

This dataset is based on the "VI National Census of the White Stork Ciconia ciconia" published by ICNF in 2014. It presents occurrence data of nests of Ciconia ciconia (Linnaeus, 1758). There were 5,065 records of nests throughout the Mainland Portugal during that year. The "VI National Census of the White Stork Ciconia ciconia" was coordinated by Vítor Encarnação and involved the participation of several individual and institutional collaborators.

Registros

Los datos en este recurso de registros biológicos 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 5.065 registros.

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?

Por favor, tenga en cuenta que ésta es una versión antigua del conjunto de datos.  Los usuarios deben citar este trabajo de la siguiente manera:

Encarnação V., Breves A. (2021): The VI national White Stork (Ciconia ciconia) census in Portugal (2014). v1.2. ICNF - Instituto da Conservação da Natureza e das Florestas. Dataset/Occurrence. http://ipt.gbif.pt/ipt/resource?r=cegonha_branca2014&v=1.2

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es ICNF - Instituto da Conservação da Natureza e das Florestas. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: 88a3e4bb-b2e3-4693-a8ba-6334ec1afdb8.  ICNF - Instituto da Conservação da Natureza e das Florestas publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF Portugal.

Palabras clave

Occurrence; Observation; Bird census; Mainland Portugal; Nest occupation

Datos externos

Los datos del recurso también están disponibles en otros formatos

Contactos

Vítor Encarnação
  • Originador
ICNF
Av. 24 de Julho, 12, Torre Nascente, Piso 4
1249-300 Lisboa
Lisboa
PT
912703758
André Breves
  • Proveedor De Los Metadatos
Researcher PORBIOTA
Instituto Superior de Agronomia | Universidade de Lisboa
Tapada da Ajuda
1349-017 Lisboa
Lisboa
PT
Teresa Pimenta
  • Punto De Contacto
ICNF
Av. 24 de Julho, 12, Torre Nascente, Piso 4
1249-300 Lisboa
Lisboa
PT
Mário Reis
  • Punto De Contacto
ICNF
Av. 24 de Julho, 12, Torre Nascente, Piso 4
1249-300 Lisboa
Lisboa
PT

Cobertura geográfica

The VI census of White Stork was carried out on Mainland Portugal.

Coordenadas límite Latitud Mínima Longitud Mínima [37,013, -9,134], Latitud Máxima Longitud Máxima [41,953, -6,218]

Cobertura taxonómica

This dataset includes data referring to the nests of the White Stork Ciconia ciconia (Linnaeus, 1758)

Reino Animalia
Filo Chordata
Class Aves
Orden Ciconiiformes
Familia Ciconiidae
Género Ciconia
Especie Ciconia ciconia (White stork)

Cobertura temporal

Fecha Inicial / Fecha Final 2014-03-10 / 2014-09-30

Datos del proyecto

The project “VI Censo Nacional de cegonha-branca (Ciconia ciconia) - 2014” aimed to register the breeding population of the White Stork throughout Portugal Mainland. The records are related to the presence of Ciconia ciconia (Linnaeus, 1758).

Título VI Censo Nacional de cegonha-branca (Ciconia ciconia) - 2014
Fuentes de Financiación This work was co-fund by ICNF, I.P. and the European Union, through the Environment Operational Programme (application 1.1/00021– Documentos Estruturantes da Conservação da Natureza e da Biodiversidade). The preparation of this resource for publication through GBIF was supported by Project PORBIOTA—Portuguese E-Infrastructure for Information and Research on Biodiversity (POCI-01-0145-FEDER-022127), under the Operational Thematic Program for Competitiveness and Internationalization (POCI), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (FEDER) and FCT.

Personas asociadas al proyecto:

Teresa Pimenta
  • Punto De Contacto
Mário Reis
  • Punto De Contacto

Métodos de muestreo

The data was obtained for the elaboration of the VI national White Stork census in Portugal, with the survey of the presence of nests of Ciconia ciconia on Mainland Portugal. In 2014, during the breeding season from March to July, all municipalities with some references to White Stork nesting or with a favorable habitat for the species were visited. For each detected nest, the following informations was recorded: - Detailed description of the location; - The structure supporting the nest (pole, tree, rocks, human constructions, others); - Determination of nest occupation, with two possibilities: occupied: with an individual/couple or recent built nest or evidence of recent presence of birds (dejects) or nesting evidence during the nesting season; empty: nests without situations described above.

Área de Estudio The geographic area considered for the study was Mainland Portugal.
Control de Calidad All initial data was inserted in a specific relational database built specifically for the project, which implemented several quality control methods. In the preparation of the dataset for GBIF publication, data consistency was verified using cluster algorithms using OpenRefine.

Descripción de la metodología paso a paso:

  1. The preparation of the dataset for GBIF publication used as source the geographic layer in shapefile format. The data layer was a vector layer containing points. The following steps were performed: - Conversion of the spatial layer to geographic coordinates using WGS84 as reference system; - Used the points to determine the locations based on the Carta Administrativa Oficial de Portugal 2020 (CAOP2020) and OpenStreetMaps; - Exported to csv and reinterpreted attributes matching to DwC standard terms.
  2. The dataset presents detailed information of the structures supporting the nest, indicating the existence or absence of artificial platform (AP). The dataset also presents several notes of the registers on occurrenceRemarks originally as "Observações". The original colum "Data" was considered the DwC field "verbatimEventDate". When it was empty, the DwC field "eventDate" was filled in as "2014-03/07" considering the study period described in the report of the VI national White Stork census, between March and July 2014. There is also records carried out on September 30, 2014.
  3. In "dynamicProperties": - "NORDEM" = sequential order number to the occurrence. The numbers are not unique. So, it was not considered an identifier of the occurrence; - "DICO" = other number for the occurrences. The numbers were generally unique, with an exception; - "dico_nord" = the joining of the two previous terms; - "SUPORTE_FI" = original notes of the structures supporting the nest; - "N_NINHOS" = number of occupied nests; - "N_NINHOSV" = number of empty nests (or without situations described in the occupied nests); - "N_NINHOS_O" = number of nests of other species; - "OUTRA_ESPE" = other species presents at the time of the record;

Metadatos adicionales