Full identifier: https://w3id.org/ro-id/7b6a2b71-f738-45ab-8eec-ddbbd66a4c68/
Assigned to 5 classes:
Described in 1 nanopublication:
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http://www.nanopub.org/nschema#hasAssertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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2025-11-11T16:08:16.074Z
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links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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2025-11-11T16:08:16.074Z
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links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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2025-11-11T16:08:16.074Z
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links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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RO-Crate Bot
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2025-11-11T16:08:16.074Z
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links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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RO-Crate Bot
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2025-11-11T16:08:16.074Z
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links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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2016-07-01
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2025-11-11T16:08:16.074Z
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links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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RO-Crate Bot
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2025-11-11T16:08:16.074Z
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links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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Testing methods to support management decisions in coralligenous and cave environments. A case study at Portofino MPA
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2025-11-11T16:08:16.074Z
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links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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RO-Crate Bot
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2025-11-11T16:08:16.074Z
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links a nanopublication to its assertion
http://www.nanopub.org/nschema#hasAssertion
assertion
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7b6a2b71-f738-45ab-8eec-ddbbd66a4c68
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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 fades. 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. (C) 2016 Elsevier Ltd. All rights reserved.
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