Date ( Creation )

2012-06-14

Identifier

http://id.igeo.pt/cdg/fd6d20ca-7bb0-466b-af9e-045cf50615c5

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 - Instituto do Mar

Credit

DOP/UAc - Departamento de Oceanografia e Pescas da Universidade dos Açores

Credit

DRAM - Direção Regional dos Assuntos do Mar

Status

Concluído Completed

Maintenance and update frequency

Conforme Necessário As needed

GEMET - INSPIRE themes, version 1.0 ( Theme )

• Distribuição das espécies

Thesaurus SNIMar v.1.0 ( parameter )

• Coral de água fria

Thesaurus SNIMar v.1.0 ( Place )

• Região Autónoma dos Açores

Thesaurus SNIMar v.1.0 ( project )

• CoralFish

Thesaurus SNIMar v.1.0 ( parameter )

• Género

Thesaurus SNIMar v.1.0 ( Discipline )

• Biodiversidade e Conservação Marinha

Thesaurus SNIMar v.1.0 ( taxon )

• Acanthogorgia

Keywords ( 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

Direitos de Autor Copyright

Use constraints

Direitos de Autor Copyright

Spatial representation type

Matricial Grid

Distance

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

Metadata language

Português Portuguese

Character set

utf8 UTF8

Topic category

• Oceans
• Biota

Reference system identifier

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

Distribution format

• RASTER geodatabase (ArcGis 10.1 )

Hierarchy level

Conjunto de Dados Geográficos Dataset

Dataset

http://id.igeo.pt/cdg/fd6d20ca-7bb0-466b-af9e-045cf50615c5

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

fd6d20ca-7bb0-466b-af9e-045cf50615c5   XML

Metadata language

Português Portuguese

Character set

utf8 UTF8

Hierarchy level

Conjunto de Dados Geográficos Dataset

Date stamp

2017-09-20

Metadata standard name

Perfil SNIMar

Metadata standard version

v.0.9.3