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Advisor(s)
Abstract(s)
Dependence of some species on landscape structure has been proved in numerous studies.
So far, however, little progress has been made in the integration of landscape metrics in the
prediction of species associated with coastal features. Specific landscape metrics were
tested as predictors of coastal shape using three coastal features of the Iberian Peninsula
(beaches, capes and gulfs) at different scales. We used the landscape metrics in
combination with environmental variables to model the niche and find suitable habitats for a
seagrass species (Cymodocea nodosa) throughout its entire range of distribution.
Landscape metrics able to capture variation in the coastline enhanced significantly the
accuracy of the models, despite the limitations caused by the scale of the study. We provided
the first global model of the factors that can be shaping the environmental niche and
distribution of C. nodosa throughout its range. Sea surface temperature and salinity were
the most relevant variables. We identified areas that seem unsuitable for C. nodosa as well
as those suitable habitats not occupied by the species. We also present some preliminary
results of testing historical biogeographical hypotheses derived from distribution predictions
under Last Glacial Maximum conditions and genetic diversity data.