Date (Creation)

2012-06-06

Citation identifier

http://id.igeo.pt/cdg/e19a9f11-8229-434c-b9e6-3a40bd5ac01b

Purpose

O objetivo deste recurso é fornecer informação sobre a distribuição deste género de corais nos fundos marinhos dos Açores para projetos científicos futuros e gestão do mar dos Açores.

Credit

IMAR/DOP (Departamento de Oceanografia e Pescas - Universidade dos Açores). Projeto Coral Fish.

Credit

Direção Regional dos Assuntos do Mar

Status

Completed

Point of contact

Organisation name	Individual name	Electronic mail address	Role
DRAM - Direção Regional dos Assuntos do Mar	Marco Aurélio Santos	marco.ar.santos@azores.gov.pt	Author
Universidade dos Açores - Departamento de Oceanografia e Pescas	Ricardo Medeiros	rmedeiros@uac.pt	Point of contact
Universidade dos Açores - Departamento de Oceanografia e Pescas	Frederico Cardigos	frederico@uac.pt	Point of contact
Universidade dos Açores - Departamento de Oceanografia e Pescas	Telmo Morato	telmo@uac.pt	Point of contact
Universidade dos Açores - Departamento de Oceanografia e Pescas	Antonio David Peran	adperan@uac.pt	Point of contact

Maintenance and update frequency

As needed

GEMET - INSPIRE themes, version 1.0

• Distribuição das espécies

Thesaurus SNIMar v.1.0

• Biodiversidade e Conservação Marinha

Thesaurus SNIMar v.1.0

• Género

Thesaurus SNIMar v.1.0

• CoralFish

Thesaurus SNIMar v.1.0

• Região Autónoma dos Açores

Thesaurus SNIMar v.1.0

• Schizophytum

Thesaurus SNIMar v.1.0

• Coral de água fria

Place

• RAA

Use limitation

Dados disponíveis de acordo com os termos e política de dados do Centro IMAR - Instituto do Mar da Universidade dos Açores

Access constraints

Copyright

Use constraints

Copyright

Spatial representation type

Grid

Distance

280.0  http://standards.iso.org/ittf/PubliclyAvailableStandards/ISO_19139_Schemas/resources/uom/ML_gmxUom.xml#m

Language

Portuguese

Character set

UTF8

Topic category

• Biota
• Oceans

Reference system identifier

EPSG / http://www.opengis.net/def/crs/EPSG/0/3395

Distribution format

Name	Version
RASTER geodatabase	ArcGis 10.1

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
DRAM - Direção Regional dos Assuntos do Mar	Marco Aurélio Santos	marco.ar.santos@azores.gov.pt	Distributor

Hierarchy level

Dataset

Dataset

http://id.igeo.pt/cdg/e19a9f11-8229-434c-b9e6-3a40bd5ac01b

Statement

Predictive Distribution Modelling is an innovative GIS-based method used to produce predictive maps of where elements (species, ecological community type) are likely to occur and likely to not occur. The probability of ocurrence is quantified and is directly related to underlying environmental variables and the locations of known ocurrences. There have been used presence/absence models to make the predictive distribution.This Predictive Distribution Modelling of Cold-Water Corals in the Azorean sea, has been developed inside the CoralFish project, and it has been made by the reasearcher Fernando Tempera. On these group of layers, there were only modeled 28 genus of corals that had more than 10 quantified ocurrences afer filtering the database of cold-water corals. The genus of corals were modeled until 2160 meters of depth, because in deeper areas there were not any ocurrences or there were less than 10 ocurrences.

Description

Projeto CoralFish

Metadata

File identifier

e19a9f11-8229-434c-b9e6-3a40bd5ac01b XML

Metadata language

Portuguese

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2017-03-30

Metadata standard name

Perfil SNIMar

Metadata standard version

v.0.9.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
DRAM - Direção Regional dos Assuntos do Mar	Daniela Sofia da Silva Pereira	Daniela.SS.Pereira@azores.gov.pt	Author
DRAM- Direção Regional dos Assuntos do Mar	Herli Monteiro	Herli.DM.Oliveira@azores.gov.pt	Author
DRAM - Direção Regional dos Assuntos do Mar	Marco Aurélio Santos	marco.ar.santos@azores.gov.pt	Point of contact
DRAM - Direção Regional dos Assuntos do Mar	Paulo Fernando das Neves Miranda	Paulo.FN.Miranda@azores.gov.pt	Author

Other language

Language	Character encoding
English	UTF8