Predictive distribution modelling for cold-water coral genus Desmophyllum in the Azorean sea
This layer provides geographic information related to a predictive distribution modelling for cold-water coral genus Desmophyllum in the Azorean sea.
Simple
- Date (Creation)
- 2012-05-29
- Citation identifier
- http://id.igeo.pt/cdg/cd81ee34-a272-4fdc-86c7-9536137d4e30
- Purpose
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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
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IMAR/DOP (Departamento de Oceanografia e Pescas - Universidade dos Açores). Projeto Coral Fish.
- Credit
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Direção Regional dos Assuntos do Mar
- Status
- Completed
- Point of contact
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Organisation name Individual name Electronic mail address Role DRAM - Direção Regional dos Assuntos do Mar
Marco Aurélio Santos
Author Universidade dos Açores - Departamento de Oceanografia e Pescas
Ricardo Medeiros
Point of contact Universidade dos Açores - Departamento de Oceanografia e Pescas
Frederico Cardigos
Point of contact Universidade dos Açores - Departamento de Oceanografia e Pescas
Telmo Morato
Point of contact Universidade dos Açores - Departamento de Oceanografia e Pescas
Antonio David Peran
Point of contact
- Maintenance and update frequency
- As needed
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GEMET - INSPIRE themes, version 1.0
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Distribuição das espécies
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Thesaurus SNIMar v.1.0
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Desmophyllum
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Thesaurus SNIMar v.1.0
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Biodiversidade e Conservação Marinha
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Thesaurus SNIMar v.1.0
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Género
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Thesaurus SNIMar v.1.0
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CoralFish
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Thesaurus SNIMar v.1.0
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Região Autónoma dos Açores
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Thesaurus SNIMar v.1.0
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Coral de água fria
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- Place
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RAA
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- Use limitation
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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
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- 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
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Organisation name Individual name Electronic mail address Role DRAM - Direção Regional dos Assuntos do Mar
Marco Aurélio Santos
Distributor
- Hierarchy level
- Dataset
Extent
Conformance result
- Date (Publication)
- 2010-12-08
- Explanation
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Ver a especificação citada.
- Pass
- No
- Statement
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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
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Projeto CoralFish
Metadata
- File identifier
- cd81ee34-a272-4fdc-86c7-9536137d4e30 XML
- Metadata language
- Portuguese
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2017-03-30
- Metadata standard name
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Perfil SNIMar
- Metadata standard version
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v.0.9.3
- Metadata author
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Organisation name Individual name Electronic mail address Role DRAM- Direção Regional dos Assuntos do Mar
Herli Monteiro
Author DRAM - Direção Regional dos Assuntos do Mar
Marco Aurélio Santos
Point of contact DRAM - Direção Regional dos Assuntos do Mar
Paulo Fernando das Neves Miranda
Author DRAM - Direção Regional dos Assuntos do Mar
Daniela Sofia da Silva Pereira
Author
- Other language
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Language Character encoding English UTF8