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Biogeographical patterns of the genus Merodon Meigen, 1803 (Diptera: Syrphidae) in islands of the eastern Mediterranean and adjacent mainland

Title: Biogeographical patterns of the genus Merodon Meigen, 1803 (Diptera: Syrphidae) in islands of the eastern Mediterranean and adjacent mainland
Authors: Vujić, Ante; Petanidou, Theodora; Tscheulin, Thomas; Cardoso, Pedro; Radenković, Snezana; Ståhls, Gunilla; Baturan, Željana; Mijatović, Gorana; Rojo, Santos; Pérez-Bañón, Celeste; Devalez, Jelle; Andrić, Andrijana; Jovičić, Snežana; Krašić, Dušanka; Markov, Zlata; Radišić, Dimitrije; Tataris, Giorgos
Contributors: Universidad de Alicante. Departamento de Ciencias Ambientales y Recursos Naturales; Universidad de Alicante. Centro Iberoamericano de la Biodiversidad; Bionomía, Sistemática e Investigación Aplicada de Insectos Dípteros e Himenópteros
Publisher Information: Wiley
Publication Year: 2016
Collection: RUA - Repositorio Institucional de la Universidad de Alicante
Subject Terms: Biogeography; Distribution patterns; Eco-geographical variables; Hoverflies; Islands; Species–area relationship; Zoología
Description: 1. 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- a-vis the adjacent mainland. In this part of the world, the genus comprises 57 species, out of more than 160 species described worldwide. 2. 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. 3. 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. 4. 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. 5. The results imply that the current distributions of Merodon species in the study area exhibit the combined effects of historical and present-day processes. ; The research has been co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Program ‘Education and Lifelong Learning’ of the National Strategic Reference Framework (NSRF) – Research Funding Program: THALES: Investing in knowledge society through the European Social Fund.
Document Type: article in journal/newspaper
Language: English
Relation: http://dx.doi.org/10.1111/icad.12156; http://hdl.handle.net/10045/62533
DOI: 10.1111/icad.12156
Availability: http://hdl.handle.net/10045/62533; https://doi.org/10.1111/icad.12156
Rights: © 2016 The Royal Entomological Society ; info:eu-repo/semantics/restrictedAccess
Accession Number: edsbas.8FDAA945
Database: BASE