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opencc-by-4.0Jun 2005View details →

Fig. 6 in Morphometric Differences Among Root Vole (Muridae: Microtus Oeconomus) Populations In Hungary

Fig. 6. Scatterplots of the first two canonical variate scores calculated from landmarks: a (top) = on the dorsal view of the cranium, b (bottom) = on the mandible. Lines connect the closest laying centroids of each group. Deformation grids were generated using tpsRegr (ROHLF 2000) and show the

opencc-by-4.0Dec 2007View details →

Fig. 2 in Allozyme Variability Of Brown Hares (Lepus Europaeus) From The Vojvodina (Serbia), Compared To Central And Southeastern European Populations

Fig. 2. Scatterplots of population-specific dimension stimulus coordinates as obtained from multidimensional scaling (three-dimensional model); A (up): plot of first and second dimensions, B (down): plot of first and third dimensions. Convex polygons encompass the 20 Austrian (black circles and light grey area) and the eight Bulgarian (white circles and dark grey area) populations, respectively. Black cross indicates the Vojvodina (VOJ) population; for acronymes of Austrian populations see

opencc-by-4.0Dec 2007View details →

Fig. 1 in Allozyme Variability Of Brown Hares (Lepus Europaeus) From The Vojvodina (Serbia), Compared To Central And Southeastern European Populations

Fig. 1. Unrooted Wagner dendogram based on modified Roger's distances (WRIGHT 1978), representing genetic relationships among brown hares from the Vojvodina (VOJ), 20 Austrian (population acronyme – A), and eight Bulgarian (population acronyme – BL) populations. For acronymes of the Austrian populations see HARTL et al. (1993) and for Bulgarian populations see SUCHENTRUNK et

opencc-by-4.0Dec 2007View details →

Fig. 3 in Allozyme Variability Of Brown Hares (Lepus Europaeus) From The Vojvodina (Serbia), Compared To Central And Southeastern European Populations

Fig. 3. Stepwise discriminant analysis (DA): box plots of discriminant scores for the Austrian and Bulgarian populations as well as the discriminant score of the initially unclassified Vojvodina population (cross, VOJ), as obtained from DA of stimulus coordinates from the multidimensional scaling (three-dimensional model). The stippled horizontal line indicates classification of VOJ to the Aus-

opencc-by-4.0May 2007View details →

Fig. 2 in Genetic Differentiation And Linkage Disequilibrium In A Spatially Fragmented Population Of Cheilosia Vernalis (Diptera: Syrphidae) From The Balkan Peninsula

Fig. 2. Standardized variance of allelic frequencies FST (open symbols) and genetic distance D (NEI 1978) (filled symbols) plotted against corresponding geographic distance between subpopulation pairs of Cheilosia vernalis: Durmitor-Morinj (75 km), Fruška Gora- Durmitor (240 km), and Fruška Gora-Morinj (306 km). Pearson correlation coefficients between geographic distance and FST and D

opencc-by-4.0May 2007View details →

Fig. 1 in Genetic Differentiation And Linkage Disequilibrium In A Spatially Fragmented Population Of Cheilosia Vernalis (Diptera: Syrphidae) From The Balkan Peninsula

Fig. 1. Map of Serbia and Montenegro showing sampling sites for the studied subpopulations of Chelosia vernalis, and genotype distribution at the Pgm locus. The Pgm locus was the most variable locus in the surveyed subpopulations, and along with differences of allele frequency variances at the

Fig. 5 in Age Structure In A Declining Population Of Rana Temporaria From Northern Italy

Fig. 5. Relationship between age and body length in male (filled circles) and female (empty circles) Rana temporaria

Fig. 3 in Age Structure In A Declining Population Of Rana Temporaria From Northern Italy

Fig. 3. Diaphyseal cross-sections of phalanges of Rana temporaria females. (a) Individual, 70 mm in body length, with 1 visible LAG plus one confluent with the outer margin of periosteal bone. Some false lines are also present. (b) Individual, 73.2 mm in body length, with 2 visible LAGs plus one confluent with the outer margin of periosteal bone. (c) Individual, 85.7 mm in body length, with 5 LAGs. (d) Individual, 101 mm in body length, with 7 LAGs. (e) Individual, 120 mm in body length, with the first 4 but not the peripheral LAGs clearly distinguishable. (f) Same individual as in the previous figure but adjacent section at higher magnification showing 6 distinct LAGs at the periphery of periosteal bone. Based on these observations it is concluded that this frog had 10 LAGs. Abbreviations: EB = endosteal bone; MC = medullar cavity; RL = reversal line; VC = vascular canal. Arrows indi-

Fig. 2 in Age Structure In A Declining Population Of Rana Temporaria From Northern Italy

Fig. 2. Diaphyseal cross-sections of phalanges of Rana temporaria males. (a) Juvenile, 50.1 mm in body length, without LAGs. (b) Individual, 63 mm in body length, with 1 visible LAG plus one nonvisible probably because it is confluent with the outer margin of periosteal bone. (c) Individual, 74.7 mm in body length, with 6 LAGs. (d) Same individual as in Fig. 2c but at higher magnification. 5 LAGs can be more easily counted in the ridge at the periphery of periosteal bone. (e) Individual, 85.2 mm in body length, with 8 LAGs. (f) Individual, 89 mm in body length, with 10 LAGs, of which the peripheral are very close to each other. Abbreviations: EB = endosteal bone; MC = medullar cavity; RL = reversal line. Arrows indicate lines of arrested growth (LAGs). Scale bar, 100 µm in Figs 2a–e;

Fig. 1 in Age Structure In A Declining Population Of Rana Temporaria From Northern Italy

Fig. 1. Body length distribution (2 mm classes) of male (filled bars) and female (empty bars) Rana temporaria. The dotted bar represents a juvenile male

opencc-by-4.0Mar 2009View details →

Fig. 4 in Age And Growth Of The Southern Crested Newt, Triturus Karelinii (Strauch 1870), In A Lowland Population From Northwest Turkey

Fig. 4. Growth curves in male (A) and female (B) Triturus karelinii. Growth curves were fitted to von Bertalanffy's growth equation

opencc-by-4.0Mar 2009View details →

Fig. 1 in Age And Growth Of The Southern Crested Newt, Triturus Karelinii (Strauch 1870), In A Lowland Population From Northwest Turkey

Fig. 1. Snout to vent length (SVL) of juvenile, male and female Triturus karelinii from Adapazarı in Northwest Anatolia (Turkey)

opencc-by-4.0May 2009View details →

Fig. 1 in Genetic Diversity In Peripheral And Central Populations Of Rusty-Necklaced Partridge (Alectoris Magna) Based On Mitochondrial And Microsatellite Dna

Fig. 1. Rusty-necklaced partridge sampling sites: 1 = Lanzhou, 2 = Jingyuan, 3 = Haiyuan, 4 = Dingxi, 5 = Huining, 6 = Wushan, 7 = Beidao, 8 = Lixian

opencc-by-4.0Mar 2009View details →

Fig. 2 in Age And Growth Of The Southern Crested Newt, Triturus Karelinii (Strauch 1870), In A Lowland Population From Northwest Turkey

Fig. 2. Phalangeal cross section of Triturus karelinii. Arrows: metamorphosis line and periphery; Arrowheads: lines of arrested growth (LAGs); e.b. = endosteal bone m.c.= marrow cavity, m.l.= metamorphosis line, p.= periphery. (A) Juvenile (SVL= 44.82 mm) caught in March. A metamorphosis line and two LAGs were observed in the periosteal bone. This individual was two years old. (B) Male (SVL= 73.94 mm). Six LAGs were observed in the periosteal bone. Note that a metamorphosis line is visible and endosteal resorption is not present. Age of this individual caught in March was 6 years old. (C) Female (SVL= 83.18 mm). Five LAGs were observed in the periosteal bone. The innermost LAG was eroded by endosteal resorption and this individual was 6 years old

Fig 2 in Sexual Size Dimorphism In Free-Living Populations Of Mus Musculus: Are Male House Mice Bigger?

Fig 2. Variation in SSD during the first five weeks of postnatal development in five mice populations. SSD is expressed as Lowich-Gibbons ratios of mean body weight (see under Material and Methods)

Fig. 1 in Sexual Size Dimorphism In Free-Living Populations Of Mus Musculus: Are Male House Mice Bigger?

Fig. 1. Map of the studied localities: 1 = Czech Republic, 2 = The Balkans, 3 = Iran, 4 = Jordan, 5 = hybrids. See Material and Methods for coordinates of the localities

opencc-by-4.0May 2010View details →

Fig. 2 in Spatial Variation In Prey Composition And Its Possible Effect On Reproductive Success In An Expanding Eastern Imperial Eagle (Aquila Heliaca) Population

Fig. 2. Cluster analyses of imperial eagle breeding areas based on prey composition data. Region codes are presented in Fig. 1. Codes with bold characters represent mountainous habitats. The single breeding pair of the Cserehát Mountains was excluded from the analysis, because of low sample size

opencc-by-4.0May 2010View details →

Fig. 3 in Spatial Variation In Prey Composition And Its Possible Effect On Reproductive Success In An Expanding Eastern Imperial Eagle (Aquila Heliaca) Population

Fig. 3. Frequency of the three main prey species (a-c) and reproductive success (d) of imperial eagles in two East-Hungarian regions. Boxplots presents the minimum-maximum (whiskers), lower and upper quartiles (box) and the median (line) of the data. Dots are outliers. Significance of difference is in-

Fig. 1 in On The Limit Of Altitudinal Range Shifts - Population Genetics Of Relict Butterfly Populations

Fig. 1. Neighbour-joining tree based on genetic distances (CAVALLI-SFORZA & EDWARDS 1967) performed on five microsatellite loci, representing the analysed populations of Scandinavia, Finland, eastern Europe (Poland, Lithuania, Romania) and the Vosges. Genetic distances are projected on a map. Solid lines display the genetic distance, arrows show the locations of the sampling sites. Data

Fig. 2 in On The Limit Of Altitudinal Range Shifts - Population Genetics Of Relict Butterfly Populations

Fig. 2. Allele frequency distributions of L. helle populations of the Pyrenees and the western low-altitude mountains (Massif Central, Vosges, Ardennes). The colours in the pie charts indicate the distribution of alleles (white: occurring in several mountain areas, black: exclusive to a single mountain area, grey: exclusively occurring in the respective population). Data taken from FINGER et al. (2009)