Descriptions are given of three new species of Merodon Meigen (Diptera: Syrphidae) in the nigritarsis species group from the Middle East: Merodon angustus Vujić et Radenković n. sp., Merodon hakkariensis Vujić et Radenković n. sp. and Merodon quadraticus Vujić et Radenković n. sp. In addition, diagnostic characters are given for the nigritarsis group and distribution maps are presented for the new species and closely related taxa.
Hoverflies are a valuable group of species in need of conservation and monitoring, due to their large contribution to pollination, biological control, and role as indicators of ecosystem change. Though hoverflies are a well-known group of insects, there has been little documentation of their current conservation status. Using long-term hoverfly monitoring data, this study reports on their prevalence in Serbia and presents priority areas for their conservation. An expert-generated, criteria-driven approach was used to identify core areas for conservation of hoverflies, named Prime Hoverfly Areas (PHA); 34% of the identified area lies outside of a national protection area (NPA) network. A systematic conservation approach (gap and irreplaceability analysis) was then applied to evaluate: 1) sufficiency of the NPA for hoverfly conservation, and 2) degree of improvement in hoverfly conservation conferred by the expert-generated PHA network. The networks were evaluated for the achievement of predefined representation targets for each of the 155 hoverfly species identified as important for conservation. We found that the NPA network is insufficient, as it does not cover the ranges of 18% of considered species. The area of the proposed PHA outside of the NPA is small (1.36% of the national territory), but its protection would greatly improve hoverfly conservation by increasing the inclusion of hoverfly habitats for previously unprotected species and by including hoverfly biodiversity hot spots. The suggested PHA network was then compared to a similarly designed habitat network aimed to conserve butterflies. There was partial overlap between the two networks, highlighting the importance of considering multiple groups in planning comprehensive conservation strategies for pollinators.
A new hoverfly species, Cheilosia barbafacies Vujić & Radenković sp. n. (Diptera, Syrphidae), is described and distinguished from the closely related species Cheilosia pascuorum Becker, 1894, based on material collected from the mountains of the Balkan Peninsula. Diagnostic characteristics and an identification key for the members of the proxima group of Cheilosia s. str., including the new taxon, are provided.
Seven species of the genus Pipiza, collected throughout the southern and western Balkans, were used for the analysis of habitat preferences and potential geographical distribution on the Balkan Peninsula. The analyzed species show a wide and uneven distribution across the delineated geographical-biogeographical regions. The highest number of species noted is from two regions - the Dinaric mountain chain and the Pannonian and subpannonian regions (seven and six). Land cover patch analysis revealed that forests dominate the landscape surroundings of the analyzed species. “Presenceonly models” developed by Maxent support the understanding of the distribution and ecology of each analyzed species. The low probability values of current potential distribution correspond to large non-forested and fragmented forest areas, where, on the other hand, relatively high probabilities overlap with areas of deciduous forests across the peninsula. Results confirm species preference to forest landscapes and emphasize the need for local scale analysis. The studies are of importance in developing regional monitoring schemes and conservation strategies
This paper examines the possibilities, advantages and limitations of the use of high resolution archive satellite images in evaluation of forest and other land cover changes, based on research in the sample area of the Fruška Gora mountain (Serbia). Satellite images available from the declassified archives of CORONA program were used to assess the extent of forest cover in the past. By comparing the resulting datasets with newer images, changes in the forest coverage can be detected and reconstructed for a period of more than 40 years. Despite many limiting factors, the images provided valuable information about the state of the forest cover in the past. The methodology used can be utilised in other similar areas, where no other, more precise source is available about forest coverage, as a means of reasonably inexpensive and time efficient assessment of forest cover and other land use changes in the past five decades.
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