02462nas a2200217   4500008004100000245015600041210006900197260001200266300001400278490000700292520163300299653002801932653002301960653002201983653002402005653003002029653001802059100001802077700001702095856013202112       2006                        eng d00aA biogeographical analysis of the tenebrionid beetles (Coleoptera, Tenebrionidae) of the island of Thasos in the context of the Aegean Islands (Greece)0 abiogeographical analysis of the tenebrionid beetles Coleoptera T  c2006///  a3919-39490 v393 aThis research aimed to study the origin and the biogeographical relationships of the tenebrionid beetle (Coleoptera, Tenebrionidae) fauna of the island of Thasos, with reference to the other Aegean Islands. A total of 32 Aegean Islands and 170 taxa (species and subspecies), 23 of which occur on Thasos, were included in this study. Nine tenebrionid species are here reported for the first time from Thasos, including the first records of Platydema europaeum and Nelassus plebejus from the Aegean Islands. Several models (linear, exponential, power, logistic, Gompertz, Weibull and Lomolino functions) were used to test the species-area relationship. The power function appeared to be the most appropriate model and the parameters of the curve suggest a possible relict character for this fauna. The proportion of Balkan taxa on the islands sharply decreases from west to east, whereas the Anatolian taxa follow an opposite trend. Multi-dimensional scaling, Parsimony Analysis of Endemicity and discriminant function analysis revealed a clear faunal discontinuity between the western and central Aegean Islands on one side, and the islands close to the Anatolian coast on the other. This discontinuity, consistent with the persistence (from Messinian to Pleistocene) of a sea barrier between these two groups of islands, strongly supports the importance of Pleistocene island configurations in determining present distributional patterns. The comparative richness of the tenebrionid fauna on Thasos is enhanced by the proximity of the island to the mainland and the diversity of its surviving habitats. © 2005 Taylor & Francis.10adistributional patterns10aeast mediterranean10afaunal similarity10aIsland Biogeography10aspecies-area relationship10atenebrionidae1 aFattorini, S.1 aFowles, A.P.  uhttps://icgf.myspecies.info/content/biogeographical-analysis-tenebrionid-beetles-coleoptera-tenebrionidae-island-thasos-context00439nas a2200121   4500008004100000245006500041210006500106300001200171490000600183653001500189100001800204856009500222       2000                        eng d00aPresence of West Mediterranean tenebrionid beetles in Greece0 aPresence of West Mediterranean tenebrionid beetles in Greece  a61–650 v110aColeoptera1 aFattorini, S.  uhttps://icgf.myspecies.info/content/presence-west-mediterranean-tenebrionid-beetles-greece01652nas a2200193   4500008004100000245012800041210006900169260001200238300001000250490000800260520095400268653001501222653001101237653002401248653001801272653001801290100001801308856013201326       2002                        eng d00aA comparison of relict versus dynamic models for tenebrionid beetles (Coleoptera: Tenebrionidae) of Aegean Islands (Greece)0 acomparison of relict versus dynamic models for tenebrionid beetl  c2002///  a55-640 v1323 aThis paper analyses the species-area relationship in the Aegean tenebrionids in order to discriminate between relict and dynamic models. Using different statistical approaches, the following eco-geographic variables were tested as predictors of the tenebrionid richness on 32 Aegean Islands: latitude, longitude, area, maximum elevation, distance to the mainland, and distance to the nearest island. Area was identified as an important predictor, while neither distance to the mainland nor distance to the nearest island was identified as of any statistical importance in affecting tenebrionid richness. Thus, as proposed for other very sedentary animals inhabiting this archipelago such as land snails, a relict model is postulated. As most tenebrionids have extremely limited ability to actively disperse over the sea, ancestral species have probably colonised the Aegean Islands by means of land-bridges during Pleistocene falls in the sea level.10aColeoptera10aGreece10aIsland Biogeography10aRelict models10atenebrionidae1 aFattorini, S.  uhttps://icgf.myspecies.info/content/comparison-relict-versus-dynamic-models-tenebrionid-beetles-coleoptera-tenebrionidae-aegean03900nas a2200337   4500008004100000245010300041210006900144260000800213300001000221490000700231520286200238653001603100653002803116653001803144653002303162653001503185653002203200653002403222653001203246653001903258653001403277653001303291653001103304653001803315653001103333653003003344653001803374653003203392100001803424856012003442       2002                        eng d00aBiogeography of the tenebrionid beetles (Coleoptera, Tenebrionidae) on the Aegean Islands (Greece)0 aBiogeography of the tenebrionid beetles Coleoptera Tenebrionidae  cJAN  a49-670 v293 aAim This research aimed to study if a transitional character can be postulated for the tenebrionid beetle (Coleoptera, Tenebrionidae) fauna of the Aegean Islands, and to identify ecological and historical factors responsible for observed patterns.Location Eastern Mediterranean, Aegean Islands.Methods A total of 32 Aegean Islands and 166 taxa (species and subspecies) were included in this study. In order to assess whether the Aegean tenebrionid fauna is mainly equilibrial or relictual, the importance of different eco-geographical variables (i.e. area, latitude, longitude, distance to the nearest island, distance to the mainland) in determining species richness and endemicity levels was analysed by using several statistical methods. These included single regressions, multiple regressions, and partial correlations. Cluster analysis, multidimensional scaling (MS) and discriminant function analysis (DFA) were used to quantify the similarities between the islands. Regression lines were used to study variations in the proportion of Balkan and Anatolian species. Parsimony Analysis of Endemicity (PAE) was used to study possible relationships between hierarchical species assemblages and palaeogeographical reconstructions.Results Island area accounted for most variability in species number. Distances to the nearest island and to the mainland were not identified as of any statistical importance in affecting species number. The proportion of Balkan taxa sharply decreases from west to east, whereas the Anatolian taxa follow an opposite trend. The proportion of endemic taxa appears uncorrelated with island present isolation, while the proportion of subendemic taxa appears to be affected by present distance to mainland and interisland distances. Cluster analysis, MS and DFA, as well as PAE, revealed a clear faunal discontinuity between the western and central Aegean Islands on one side, and the islands close to the Anatolian coast on the other side. This discontinuity, consistent with the persistence (from Messinian to Pleistocene) of a sea barrier between these two groups of islands, strongly supports the importance of Pleistocene island configurations in determining present distributional patterns.Main conclusions The tenebrionid fauna of the Aegean Islands appears to be relictual. Most of the tenebrionid species have probably colonized the Aegean Islands by means of land-bridges during Pleistocene falls in the sea level. The palaeogeography of Pleistocene island groupings is identified as responsible for present levels of endemicity and distributional patterns. An overall transitional character can be observed for the tenebrionid fauna in the study area. However, in accordance with the persistence of a deep sea barrier between the western and the eastern islands, these two groups appear to harbour very distinct faunas.10aarchipelago10adistributional patterns10adistributions10aeast mediterranean10aendemicity10afaunal similarity10aIsland Biogeography10amammals10anorth-american10aOniscidea10apatterns10arelict10aRelict models10asnails10aspecies-area relationship10atenebrionidae10aterrestrial isopods isopoda1 aFattorini, S.  uhttps://icgf.myspecies.info/content/biogeography-tenebrionid-beetles-coleoptera-tenebrionidae-aegean-islands-greece01758nas a2200193   4500008004100000245014900041210006900190260001200259300001200271490000700283520101200290653002301302653002401325653002501349653003101374653001801405100001801423856012301441       2006                        eng d00aTesting the latitudinal gradient: A narrow-scale analysis of tenebrionid richness (Coleoptera, Tenebrionidae) in the Aegean archipelago (Greece)0 aTesting the latitudinal gradient A narrowscale analysis of teneb  c2006///  a203-2110 v733 aThe latitudinal pattern of tenebrionid (Coleoptera Tenebrionidae) biodiversity on the Aegean Islands (Greece) was analysed. To remove the obvious influence of area on species richness, several species-area relationships, including power, exponential, negative exponential, logistic, Gompertz, Weibull, Lomolino, and He-Legendre functions, were applied. Residuals were retained as measures of species richness corrected for area. The power function model appeared to be the most convenient one. Species richness was not statistically related to latitude. However, when the confounding effect of area was removed, tenebrionid species richness and levels of endemism increased significantly at lower latitudes. This latitudinal pattern can be explained both as a consequence of increasing mean annual temperatures at lower latitudes (favouring thermophilic species) and as a reflection of the role in speciation played by southern areas during Tertiary land evolution and Pleistocene eco-geographic conditions.10aeast mediterranean10aIsland Biogeography10aLatitudinal gradient10aSpecies-area relationships10atenebrionidae1 aFattorini, S.  uhttps://icgf.myspecies.info/content/testing-latitudinal-gradient-narrow-scale-analysis-tenebrionid-richness-coleoptera00560nas a2200133   4500008004100000245011600041210006900157260002200226300000700248490000600255653001600261100001800277856013100295       2006                        eng d00aA new method to identify important conservation areas applied to the butterflies of the Aegean Islands (Greece)0 anew method to identify important conservation areas applied to t  bBlackwell Synergy  a750 v910aLepidoptera1 aFattorini, S.  uhttps://icgf.myspecies.info/content/new-method-identify-important-conservation-areas-applied-butterflies-aegean-islands-greece02453nas a2200289   4500008004100000245010500041210006900146260000800215300001400223490000700237520151800244653002601762653001701788653001501805653002901820653002801849653001401877653001301891653001101904653002401915653001101939653001301950653001801963653003201981100001802013856013202031       2006                        eng d00aDetecting biodiversity hotspots by species-area relationships: a case study of Mediterranean beetles0 aDetecting biodiversity hotspots by speciesarea relationships a c  cAUG  a1169-11800 v203 aAny method of identifying hotspots should take into account the effect of area on species richness. I examined the importance of the species-area relationship in determining tenebrionid (Coleoptera: Tenebrionidae) hotspots on the Aegean Islands (Greece). Thirty-two islands and 170 taxa (species and subspecies) were included in this study. I tested several species-area relationship models with linear and nonlinear regressions, including power exponential, negative exponential, logistic, Gompertz, Weibull, Lomolino, and He-Legendre functions. Islands with positive residuals were identified as hotspots. I also analyzed the values of the C parameter of the power function and the simple species-area ratios. Species richness was significantly correlated with island area for all models. The power function model was the most convenient one, Most functions, however, identified certain islands as hotspots. The importance of endemics in insular biotas should be evaluated carefully because they are of high conservation concern. The simple use of the species-area relationship can be problematic when areas with no endemics are included. Therefore the importance of endemics should be evaluated according to different methods, such as percentages, to take into account different levels of endemism and different kinds of "endemics" (e.g., endemic to single islands vs. endemic to the archipelago). Because the species-area relationship is a key pattern in ecology, my findings can be applied at broader scales.10aaegean islands greece10abiogeography10aColeoptera10aColeoptera Tenebrionidae10aconservation priorities10adiversity10aendemism10aGreece10aIsland Biogeography10amodels10arichness10atenebrionidae10aterrestrial isopods isopoda1 aFattorini, S.  uhttps://icgf.myspecies.info/content/detecting-biodiversity-hotspots-species-area-relationships-case-study-mediterranean-beetles01846nas a2200325   4500008004500000020001400045245006500059210006300124260000800187300001200195490000700207520090000214653002601114653001301140653002001153653001101173653002201184653002401206653001101230653001801241653001301259653001801272653001301290653002001303653002201323653003001345653003501375100001801410856009201428       2007                        Engldsh    a1125-000300aAre planar areas adequate for the species-area relationship?0 aAre planar areas adequate for the speciesarea relationship  cSep  a259-2640 v743 aThe species-area relationship (SAR) is one of the best documented patterns in macroecology and has wider applications. Measures of areas used in SARs are planar surfaces, not true surface sizes. To explain this difference I assimilated islands to cones, where the cone base is the planar area, and the cone lateral surface is the actual island area. Then, I applied the power function to 20 real-world archipelagos using both the island planar area and the lateral surface area of a cone calculated using island elevations. Although the cone model is obviously a simplistic proxy for the actual area size of islands, this simple exercise shows how a model, which increases only marginally the area sizes in SARs, may improve the fit and change the estimated parameters, suggesting the opportunity of searching for more realistic values of areas than the simple planar surface for modelling SARs.10aaegean islands greece10aanalysis10aBIOGEOGRAPHICAL10acurves10aHABITAT DIVERSITY10aIsland Biogeography10amodels10aPAPILIONOIDEA10apatterns10apowerfunction10arichness10aSELF-SIMILARITY10aspecies diversity10aspecies-area relationship10atenebrionid beetles Coleoptera1 aFattorini, S.  uhttps://icgf.myspecies.info/content/are-planar-areas-adequate-species-area-relationship