Date ( Creation )

2013-06-14

Identifier

http://id.igeo.pt/cdg/ca3e528e-7636-425c-be77-eb4cf93d247a

Purpose

O objetivo deste recurso é fornecer informação sobre a distribuição desta espécie de peixes demersais na região dos Açores para projetos científicos futuros e gestão do mar dos Açores.

Credit

DRAM - Direção Regional dos Assuntos do Mar

Credit

IMAR - Instituto do Mar

Credit

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

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 )

• Peixes demersais

Thesaurus SNIMar v.1.0 ( instrument )

• Palangre de fundo

Thesaurus SNIMar v.1.0 ( parameter )

• Espécie

Thesaurus SNIMar v.1.0 ( Place )

• Região Autónoma dos Açores

Thesaurus SNIMar v.1.0 ( Discipline )

• Biodiversidade e Conservação Marinha

Thesaurus SNIMar v.1.0 ( taxon )

• Beryx splendens

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

360.0  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

• Biota
• Oceans

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/ca3e528e-7636-425c-be77-eb4cf93d247a

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. On this raster, models were constructed based on fish occurrence and abundance data gathered from 13 years of bottom longline surveys combined with fine scale derived seafloor variables (depth, sediment type, bottom slope and aspect, converted into eastness and northness). (Extracted from "Spatial Prediction of demersal fish species presence and abundance in the Azores", Hugo Parra et al., 2014)The limit value that identifies presence/absence on this specie is 0.140.

Description

Spatial Prediction of demersal fish species presence and abundance in the Azores, Hugo Parra et al., 2014

Metadata

File identifier

ca3e528e-7636-425c-be77-eb4cf93d247a   XML

Metadata language

Português Portuguese

Character set

utf8 UTF8

Hierarchy level

Conjunto de Dados Geográficos Dataset

Date stamp

2017-09-18

Metadata standard name

Perfil SNIMar

Metadata standard version

v.0.9.3