The importance of robust systems for classifying biogeographical patterns has been emphasized for its usefulness in\ud
designing conservation strategies. For such purposes, the distribution patterns of the endemic flora have often been used.\ud
Several studies have identified phytogeographical units within Sardinia (western Mediterranean); however, the main part of\ud
the island remains unstudied. Thus, the aim of this study is to lay out a comprehensive biogeographical scheme for Sardinia\ud
based on endemic vascular plant distributions, together with geological and geomorphological units. We georeferenced, in\ud
a 1-km2 grid cell, the presence of 290 vascular endemic taxa from the literature, herbarium specimens and field\ud
investigators’ research. Sardinia was subdivided into 31 homogeneous units through the integration of geological and\ud
geomorphological maps and, subsequently, a presence–absence matrix of endemic taxa in each unit was built. Hierarchical\ud
cluster analysis was performed to define two levels of biogeographical units (i.e. sectors and subsectors). For each unit the\ud
exclusive and differential endemic taxa were identified. For sectors, indicator species were explored by the Indicator Value\ud
(Ind Val) analysis and relationships were analysed by quantitative interaction web. A total of six sectors and 22 subsectors\ud
were identified. The highest endemic plant richness was found in the Campidanese-Turritano, Sulcitano-Iglesiente and\ud
Supramontano sectors, and in the Gennargenteo, Barbaricino, Iglesiente and Sulcitano subsectors. All sectors were\ud
characterized by the presence of exclusive, differential and indicator taxa. The interaction analysis showed the highest\ud
uniqueness in endemic flora in the Supramontano and Sulcitano-Iglesiente sectors, which hosted a high number of\ud
exclusive endemic species. Mostly mountainous sectors/subsectors had higher endemic-species richness compared with\ud
lowland ones. The study showed the relevance of geology and geomorphology, together with accurate data on endemic\ud
distribution, to define consistent phytogeographical units. Furthermore, the biogeographical scheme presented here helps to\ud
define area-based conservation strategies in Sardini