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Information on the distribution and vulnerability of invertebrates is often scarce and, as a consequence, this group of organisms is usually neglected in conservation studies. Yet it is possible to reasonably infer ranges and vulnerabilities of species and establish spatial conservation priorities, even with incomplete information. We investigated conservation priorities of hoverflies in Southeast Europe based on species distribution models (SDM) and vulnerability indices., Species distribution models were used to compensate for the lack of knowledge on species ranges. Measures related to geographical rarity, endemism and habitat specialisation were used to assess species vulnerability. Potential distribution and three alternative vulnerability indices were used to calculate two spatial conservation indices: potential Biodiversity Conservation Concern index (pBCC) and potential Biodiversity Conservation Weight (pBCW)., pBCC highlighted areas with a large proportion of highly vulnerable species, even where species richness was low, such as the Danube delta and mid-Aegean islands. It also identified potentially important areas yet-to-be surveyed (e.g. Carpathian mountains), which might deserve future conservation measures. pBCW emphasised areas hosting high richness of both vulnerable and resilient species, such as the eastern Aegean Islands and the eastern part of Crete., We demonstrate that: (i) it is possible to establish conservation priorities at large scales if SDM and simple vulnerability measures are combined; (ii) complementary approaches are necessary to emphasise the importance of areas with different characteristics; and (iii) several understudied areas should be targets of future sampling schemes to confirm their importance for the conservation of hoverfly diversity in Southeast Europe. [ABSTRACT FROM AUTHOR]

The objective of this study was to obtain a biogeographical perspective on the hoverfly genus Merodon (Diptera, Syrphidae) based on data from 32 islands in the Aegean and Ionian archipelagoes vis-à-vis the adjacent mainland. In this part of the world, the genus comprises 57 species, out of more than 160 species described worldwide., The importance of eco-geographical variables (area, elevation, distance to the nearest island and distance to the nearest mainland) and the species-area relationship ( SAR) were studied in order to explain patterns of species richness. All tests supported the dynamic equilibrium concept., The area and distance to closest island were found to be the most important drivers of species richness on the Aegean and Ionian archipelagoes. Out of three SAR models evaluated in this study, the exponential function fitted our data best. It was found that a power model with no intercept value ( C = 1) performed even better by using symbolic regression for non-linear equation optimisation., The cluster and null-model analyses performed to detect inter-island similarities and origins of the insular Merodon fauna indicated a clear influence of colonisation history of the species on different islands., The results imply that the current distributions of Merodon species in the study area exhibit the combined effects of historical and present-day processes. [ABSTRACT FROM AUTHOR]