Testing methods to support management decisions in coralligenous and cave environments. A case study at Portofino MPA

Baseline data on the distribution, condition and extent of coralligenous and cave bioconcretions is one of the main requirements of the European Marine Strategy Framework Directive (MSFD) necessary to assess the achievement of a Good Environmental Status (GES) by 2020. In this study the potential of...

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Autores:
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Minciencias
Repositorio:
Repositorio Minciencias
Idioma:
eng
OAI Identifier:
oai:repositorio.minciencias.gov.co:20.500.14143/21953
Acceso en línea:
https://repositorio.minciencias.gov.co/handle/20.500.14143/21953
Palabra clave:
Paleoecología
Geología -- Mapas
Portofino marine protected area
Models Indicators
Ecosystem management
Monitoring
Geología marina
Topografía submarina -- Modelos matemáticos
Ecosistemas marinos
Rights
License
http://purl.org/coar/access_right/c_f1cf
Description
Summary:Baseline data on the distribution, condition and extent of coralligenous and cave bioconcretions is one of the main requirements of the European Marine Strategy Framework Directive (MSFD) necessary to assess the achievement of a Good Environmental Status (GES) by 2020. In this study the potential of remote sensing and distribution modelling techniques to map, measure descriptors and choose Indicators were tested, that could provide standard methods for the assessment of the health status and assist in monitoring activities. It is demonstrated how, by combining different methodologies, it is possible to map the distribution of the bioconcretions with acceptable accuracy and to discriminate the main habitat types and facies. In addition, zonal statistical analysis revealed that fishing activities primarily coincide with areas of high coverage of the bioconcretions. Results demonstrate that the presented methodology is a valuable simple tool to assess several MSFD descriptors and indicators, and could strengthen management efficiency when making informed, ecologically relevant decisions