- Title
- Coralligenous communities (model)
- Abstract
Data from MEDISEH-MAREA project.
100%: Known presence;
0%: Known absence;
Other values: modeled logistic probability of occurrence for coralligenous formations.- Publication Date
- Sept. 23, 2014, 10:37 a.m.
- Type
- Vector Data
- Category
- Environment and Ecosystems
- Data related to environment and ecosystems
- Owner
- MEDISEH
- Maintenance Frequency
- There Are No Plans To Update The Data
- Restrictions
- This shapefile was provided by MAREA Consortium (framework contract MARE/2009/05 - Lot 2 (MEDISEH)) to be used inside ADRIPLAN Project. The geographical information is provided "as it is", and no warranty of any kind (express, implicit) is offered as to the information's accuracy. The information provided does not imply any opinion of the developers concerning the legal status of any country, territory or area, or concerning the delimitation of its frontiers or boundaries. The data cannot be used for legal, commercial (e.g. exploration of natural resources, consultancy work) or for navigational purposes. It is clarified that the raw data collected or provided to the consortium for the purposes of MEDISEH, are not allowed to be redistributed or provided to third parties (under any format e.g. GIS Shape files) for any reason, without the permission of the original data provider. Fisheries data collected within the Data Collection Framework cannot be redistributed for any reason. To access project's meta-analysis data (i.e. model output), please send a request to MEDISEH scientific coordinator and to the MAREA scientific coordinator (request form: http://mareaproject.net/medviewer/registration/register/). Please note that the request will also be forwarded to DG-MARE, for final approval by the European Commission Services. It has also to be recalled the provisions of Article II.10.3 of the Framework Contract: "Any distribution or publication of information relating to the Contract by the Contractor shall require prior written authorization from the Commission and shall mention the amount paid by the Union. It shall state that the opinions expressed are those of the Contractor only and do not represent the Commission's official position". The project's final report can be found at http://mareaproject.net/contracts/5/reporting/ (Mediterranean Sensitive Habitats (MEDISEH) (2013). Final report. Edited by M. Giannoulaki, A. Belluscio, P. Panayotidis, S. Fraschetti, M. Scardi, F. Colloca, C. Smith, V. Valavanis, M.T. Spedicato. DG MARE Specific Contract SI2.600741, Final Report, 557 p. Heraklion (Greece): Hellenic Centre for Marine Research.)
- Purpose
Objectives are summarised as follow:
- Review of historical and current data on the locations and the status of coralligenous formations in different GSAs all over the Mediterranean basin.
- Integrate and present the aforementioned information through a web-based GIS viewer with an associated geo-referenced database that will operate as a consulting tool for spatial management and conservation planning.
- Following the revision of the knowledge base, to identify gaps and suggest future research priorities.- Language
- English
- Data Quality
Information has been derived from three critical sources:
- the Action plan for the conservation of the coralligenous and other calcareous bio-concretions in the Mediterranean Sea by the UNEP-MAP-RAC/SPA (2008);
- the report in the State of knowledge of the geographical distribution of the coralligenous and other calcareous bio-concretions in the Mediterranean by UNEP (2009)
- other projects carried out at national and international scale focusing on bioconstructions, their distribution and the driving forces affecting their structure and function.A total of 798 scientific documents have been collected up to now, together with 43 shapefiles, 1492 polygons and 641 data points for coralligenous formations, 47 polygons and 124 data points for maërl, and 39 bathymetric maps within the framework of MEDISEH project.
Modeling approach:
Data exploration (Zuur et al., 2007) was carried out on the coralligenous and predictor variable datasets using the R software (R Development Core Team, 2009), so as to detect potential outliers. The 36 predictor variables were hence tested for multicollinearity using variance inflation factor and spearman’s rank correlation, resulting in a subset of 12 mostly uncorrelated predictor variables: bathymetry, bottom salinity, bottom temperature, bottom type, distance to ports, distance to river mouths, euphotic depth, nutrient input, phosphate concentration, sea surface current, silicate concentration, slope of the seafloor.
Modeling was restricted to the 0-200 m depth zone.
Based on the final models used in predictive mode, rasters showing the logistic probability (ranging from 0 to 100%) of occurrence for coralligenous formations, and for mäerl beds, were produced. Given that the models were intended to predict occurrence in areas where there was no information, known areas of presence were then added (to have the value 100%) to the corresponding raster, whilst known areas of absence were removed (to have the value 0%, only for coralligenous).- Supplemental Information
WARNING: Modeling strategies based on presence-only data help delineating the potential habitat of the species, or groups of species, studied, which can be valuable as part of a precautionary approach to conservation. As metioned above however, they cannot provide reliable predictions on absence, meaning that the predicted occurrence probability maps presented here for coralligenous formations should not be used for management purposes, e.g. for the establishment of fisheries restricted zones. The maps should only be used to inform about geographical areas that are more likely to have these sensitive habitats, and possibly for directing future groundtruthing efforts.
- Spatial Representation Type
- vector data is used to represent geographic data
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