Collection of data on the distribution of red algal coastal habitat and environmental variables in the northwest of the Mediterranean
dc.contributor.author
dc.date.accessioned
2019-11-26T08:47:27Z
dc.date.available
2019-11-26T08:47:27Z
dc.date.issued
2018-05-24
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dc.description
Dades associades a l' article publicat: Cefalì,M.E., Ballesteros, E., Riera, J.L., Chappuis, E., Terradas, M., Mariani, S., i Cebrian, E. (2018). The optimal sampling design for littoral habitats modelling: a case study from the north-western Mediterranean. PLoS ONE, vol. 13, núm. 5, p. e0197234. Disponible a https://doi.org/10.1371/journal.pone.0197234
dc.description.abstract
Spatial distribution of six coastal habitats of red algae on the Catalan coast, significantly influenced by environmental variables. The red algae mentioned in the database are: Rissoella verruculosa, Lithophyllum byssoides /Lithophyllum byssoides rims ("Trottoir"), Neogoniolithon brassica-florida, Hildenbrandia rubra /Phymatolithon lenormandi and Cystoseira mediterranea. Data on littoral habitat distribution and environmental variables were collected along the whole coast of Catalonia (North-Western Mediterranean between 3º 10' 28.072" E, 42º 26' 17.619" N and 0º 30' 57.001" E, 40º 31' 26.302" N)
The file called 'Full data base' contains for each point, the projected coordinates, the environmental variables and the presence/absence (1/0) of each habitat. Slope code: 1 = 0º-10.8º; 2 = 10.8º-22.8º; 3 = 22.8º-45.1º; 4 = 45.1º-68.2º; 5 = 68.2º-87.8º. Habitats code: Riv = Rissoella verruculosa; Lby = Lithophyllum byssoides; Tro = Lithophyllum byssoides rims ("Trottoir”); Neo = Neogoniolithon brassica-florida; Hph = Hildenbrandia rubra/ Phymatolithon lenormandi.\nTables A-F contain results of logistic regression models. Results of logistic regression models for all sampling strategy designs are presented for each habitat and for all sample sizes. For training data, the number (N) and frequency (F) of the habitat occurrence are presented. Results of null models are shown with the mead and standard deviation of the 10 models calculated. The D2 is the Deviance of the model in the training data; AUC is the area under the receiver operating characteristic (ROC) curve, se and spe are the sensitivity and specificity respectively, for the predictive model in the test data
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application/pdf
application/vnd.ms-excel
dc.language.iso
eng
dc.publisher
Public Library of Science (PLoS)
dc.relation
Cefalì,M.E., Ballesteros, E., Riera, J.L., Chappuis, E., Terradas, M., Mariani, S., & Cebrian, E. The optimal sampling design for littoral habitats modelling: a case study from the north-western Mediterranean. PLoS ONE, 13 (5): e0197234. https://doi.org/10.1371/journal.pone.0197234, http://hdl.handle.net/10256/16075
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Dades de recerca
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dc.rights
Attribution 4.0 International
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dc.subject
dc.title
Collection of data on the distribution of red algal coastal habitat and environmental variables in the northwest of the Mediterranean
dc.type
Dataset
info:eu-repo/semantics/other
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi