References
Abellán, P., Benetti, C.J., Angus, R.B., Ribera, I. (2011). A review of Quaternary range shifts in European aquatic Coleoptera. Global Ecology and Biogeography , 20, 87–100. https://doi.org/10.1111/j.1466-8238.2010.00572.x
Ahrens, D., Monaghan, M.T., Vogler, A.P. (2007). DNA-based taxonomy for associating adults and larvae in multi-species assemblages of chafers (Coleoptera: Scarabaeidae). Molecular Phylogenetics and Evolution, 44, 436–449.
Ahrens, D., Fabrizi, S., Sipek, P., Lago, P. (2013). Integrative analysis of DNA phylogeography and morphology of the European rose chafer (Cetonia aurata ) to infer species taxonomy and patterns of postglacial colonisation in Europe. Molecular Phylogenetics and Evolution , 69, 83–94.
Allendorf, F.W., Luikart, G. (2007). Conservation and the Genetics of Populations . Malden (MA): Blackwell.
Assmann, T., Casale, A., Drees, C., Habel, J., Matern, A., Schuldt, A. (2010). The dark side of relict species biology: cave animals as ancient lineages. In: Habel J, Assmann T. (Eds) Relict species: Phylogeography and conservation biology . Springer, Berlin, Heidelberg, 91–103.
Avise, J.C., Arnold, J., Ball, R.M., Bermingham, E., Lamb, T., Neigel, J.E., Reeb, C.A., Saunders, N.C. (1987). Intraspecific phylogeography: The mitochondrial bridge between population genetics and systematics.Annual Review of Ecology, Evolution, and Systematics , 18, 489–522.
Baselga, A., Lobo, J.M., Svenning, J.-C. and Araújo, M.B. (2012). Global patterns in the shape of species geographical ranges reveal range determinants. Journal of Biogeography , 39, 760–771. https://doi.org/10.1111/j.1365-2699.2011.02612.x
Baselga, A., Fujisawa, T., Crampton-Platt, A., Bergsten, J., Foster, P.G., Monaghan, M.T., Vogler, A.P. (2013). Whole-community DNA barcoding reveals a spatio-temporal continuum of biodiversity at species and genetic levels. Nature Communications , 4, 1892.
Baselga, A., Gómez‐Rodríguez, C., Vogler, A.P. (2015). Multi‐hierarchical macroecology at species and genetic levels to discern neutral and non‐neutral processes. Global Ecology and Biogeography , 24, 873–882.
Bergsten, J., Bilton, D.T., Fujisawa, T., Elliott, M., Monaghan, M.T., Balke, M., Ribera, I., Nilsson, A.N., Barraclough, T.G., Vogler, A.P. (2012). The effect of geographical scale of sampling on DNA barcoding.Systematic Biology , 61, 851–869.
Bini, M.L., Diniz‐Filho, J.A.F., Rangel, et al. (2009). Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non‐spatial regression. Ecography , 32, 193-204.
Birks, H. J. B., Tinner, W. (2016). Past forests of Europe. In: San-Miguel-Ayanz, J., de Rigo, D., Caudullo, G., Houston Durrant, T., Mauri, A. (Eds.) European atlas of forest tree species . Publ. Off. EU, Luxembourg, pp. E010c45+
Bleich, O., Gürlich, S., Köhler, F. (2016). Verzeichnis der Käfer Deutschlands . Entomofauna Germanica.http://www.coleokat.de/de/fhl/.
Borcard, D., Legendre, P. (2002). All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices.Ecological Modelling , 153, 57–68.
Borcard, D., Legendre, P., Carol, A.-J., Hanna, T. (2004). Dissecting the spatial structure of ecological data at multiple scales.Ecology , 85, 1826-1832.
Brown, W.M., George, M. Jr., Wilson, A.C. (1979). Rapid evolution of animal mitochondrial DNA. Proceedings of the National Academy of Sciences USA , 76, 1967–1971. Doi:10.1073/pnas.76.4.1967
Carpenter, S.R., Mooney, H.A., Agard, J., Capistrano, D., Defries, R.S., Diaz, S., Dietz, T., Duraiappah, A.K., Oteng-Yeboah, A., Pereira, H.M., Perrings, C., Reid, W.V., Sarukhan, J., Scholes, R.J., Whyte, A. (2009). Science for managing ecosystem services: beyond the Millennium Ecosystem Assessment. Proceedings of the National Academy of Sciences USA , 106(5), 1305–12.
Castellano, S., Balletto, E. (2002). Is the partial mantel test inadequate? Evolution , 56, 1871–1873.
Coissac, E., Riaz, T., Puillandre, N. (2012). Bioinformatic challenges for DNA metabarcoding of plants and animals. Molecular Ecology,21(8), 1834–1847.
Coyne, J.A., Orr, H.A. (2004). Speciation. Sinauer Associates , Sunderland, MA
Craft, K.J., Pauls, S.U., Darrow, K., Miller, S.E., Hebert, P.D., Helgen, L.E., Novotny, V., Weiblen. G.D. (2010). Population genetics of ecological communities with DNA barcodes: An example from New Guinea Lepidoptera. Proceedings of the National Academy of Sciences , 107(11), 5041-5046.
Crispo, E., Bentzen, P., Reznick, D.N., Kinnison, M.T., Hendry, A.P. (2006). The relative influence of natural selection and geography on gene flow in guppies. Molecular Ecology, 15, 49–62.
Dapporto, L., Cini, A., Vodă, R., et al. (2019). Integrating three comprehensive data sets shows that mitochondrial DNA variation is linked to species traits and paleogeographic events in European butterflies.Molecular Ecology Resources , 19, 1623–1636. https://doi.org/10.1111/1755-0998.13059
Dincă, V., Zakharov, E.V., Hebert, P.D.N., Vila, R. (2011). Complete DNA barcode reference library for a country’s butterfly fauna reveals high performance for temperate Europe. Proceedings of the Royal Society B , 278 (1704), 347–355. http://doi.org/10.1098/rspb.2010.1089
Diniz-Filho, J., Bini, L., Hawkins, B. (2003). Spatial autocorrelation and red herrings in geographical ecology. Global Ecology and Biogeography , 12, 53–64.
Diniz-Filho, J.A.F., Nabout, J.C., Telles, M.P.D.C., Soares, T.N., Rangel, T.F.L. (2009). A review of techniques for spatial modeling in geographical, conservation and landscape genetics. Genetics and Molecular Biology, 32, 203–211.
Diniz-Filho, J.A.F., Melo, D.B., de Oliveira, G., Collevatti, R.G., Soares, T.N., Nabout, J.C., de Souza Lima, J., Dobrovolski, R., Chaves, L.J., Veloso Naves, R., Dias Loyola, R., de Campos Telles, M.P. (2012). Planning for optimal conservation of geographical genetic variability within species. Conservation Genetics , 13(4), 1085–1093.
Diniz-Filho, J.A.F., Soares, T.N., Lima, J.S., Dobrovolski, R., Landeiro, V.L., de Campos Telles, M.P., Rangel, T.F., Bini, L.M. (2013). Mantel test in population genetics. Genetics and Molecular Biology , 36, 475–485.
Dirzo, R., Raven, P. (2003). Global state of biodiversity and loss.Annual Review of Environment and Resources , 28, 137–167.
Dobzhansky, T.G. (1937). Genetics and the origin of species . Columbia University Press, New York.
Domènech, M., Malumbres-Olarte, J., Enguídanos, A., Múrria, C., Arnedo, M.A. (2022). What DNA barcodes reveal: microhabitat preference, hunting strategy and dispersal ability drive genetic variation across Iberian spider species. Insect Conservation and Diversity , https://doi.org/10.1111/icad.12552
Dray, S., Legendre, P., Peres-Neto, P.R. (2006). Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM). Ecological Modelling , 196(3), 483-493.
Etzler, F.E., Wanner, K.W., Morales-Rodriguez, A., Ivie, M.A. (2014) DNA barcoding to improve the species-level management of wireworms (Coleoptera: Elateridae). Journal of Economic Entomology , 107, 1476–1485.
Frankham, R., Ballou, J.D., Briscoe, D.A. (2002). Introduction to conservation genetics. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511808999
Freijeiro, A., Baselga, A. (2016). Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. ZooKeys , 597, 81–99.
Fujisawa, T., Vogler, A. P., Barraclough, T. G. (2014). Ecology has contrasting effects on genetic variation within species versus rates of molecular evolution across species in water beetles. Proceedings of the Royal Society B: Biological Sciences , 282(1799), 20142476–20142476. doi:10.1098/rspb.2014.2476
Garcia-Raventós, A, Viza, A, Múrria, C. (2021). Taxonomic turnover and northward phylogenetic clustering reveal evidence for environmental filtering in structuring Trichoptera communities across Europe.Freshwater Biology , 66, 1060–1073. https://doi.org/10.1111/fwb.13699
García-Robledo, C., Erickson, D.L., Staines, C.L., Erwin, T.L., Kress, W.J. (2013). Tropical plant–herbivore networks: reconstructing species interactions using DNA barcodes. PLoS One , 8(1), e52967.
Gómez-Rodríguez, C., Freijeiro, A., Baselga, A. (2015). Dispersal and ecological traits explain differences in beta diversity patterns of European beetles. Journal of Biogeography , 42, 1526–1537. doi: 10.1111/jbi.12523
Goslee, S.C., Urban, D.L. (2007). The ecodist package for dissimilarity-based analysis of ecological data. Journal of Statistical Software , 22(7), 1–19.
Gower, J.C. (1966). Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika , 53, 325–338.
Griffith, D.A., Peres-Neto, P.R. (2006). Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses. Ecology , 87, 2603–2613.
Guillot, G., Rousset, F. (2013). Dismantling the Mantel tests.Methods in Ecology and Evolution, 4, 336-344.
Hallmann, C.A., Sorg, M., Jongejans, E., Siepel, H., Hofland, N., Schwan, H., et al. (2017). More than 75 percent decline over 27 years in total flying insect biomass in protected areas. PLoS ONE , 12(10), e0185809. https://doi.org/10.1371/journal.pone.0185809
Harmon, L.J., Glor, R.E. (2010). Poor statistical performance of the Mantel test in phylogenetic comparative analyses. Evolution , 64, 2173–2178.
Hebert, P.D.N., Cywinska, A., Ball, S.L., deWaard, J.R. (2003a). Biological identifications through DNA barcodes. Proceedings. Biological Sciences , 270, 313–321. doi:10.1098/rspb.2002.2218
Hebert, P.D.N., Ratnasingham, S., deWaard, J.R. (2003b). Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species. Proceedings of the Royal Society B: Biological Sciences , 270, S96–S99. doi:10.1098/rsbl.2003.0025
Hebert, P.D., Gregory, T.R. (2005). The promise of DNA barcoding for taxonomy. Systematic Biology, 54, 852–859.
Hedrick, P.W. (2001). Conservation genetics: where are we now?Trends in Ecology and Evolution , 16, 629–636.
Hendrich, L., Morinière, J., Haszprunar, G., Hebert, P.D., Hausmann, A., Köhler, F., Balke, M. (2015). A comprehensive DNA barcode database for Central European beetles with a focus on Germany: adding more than 3500 identified species to BOLD. Molecular Ecology Resources , 15, 795–818.
Hewitt, G.M. (2000). The genetic legacy of the Quaternary ice ages.Nature , 405, 907–913.
Hijmans, R.J. (2016). Geosphere: Spherical Trigonometry. R package version 1.5-5. https://CRAN.R-project.org/package=geosphere
Hof, C., Brändle, M., Brandl, R. (2006). Lentic odonates have larger and more northern ranges than lotic species. Journal of Biogeography , 33, 63–70. (doi:10.1111/j.1365-2699.2005.01358.x)
Hofreiter, M., Stewart, J. (2009). Ecological change, range fluctuations and population dynamics during the Pleistocene. Current Biology , 19, R584–R594.
Jackson, D.A. (1995). PROTEST: A PROcrustean randomization TEST of community environment concordance. Ecoscience , 2, 297–303.
Jackson, D.A. (2001). How well do multivariate data sets match? The advantages of a Procrustean superimposition approach over the Mantel test. Oecologia , 129, 169–178.
Jelaska, L.Š. & Durbešić, P. (2009). Comparison of the body size and wing form of carabid species (Coleoptera: Carabidae) between isolated and continuous forest habitats. Annales de la Société entomologique de France (N.S.), 45:3, 327–338, DOI: 10.1080/00379271.2009.10697618
Joly, S., Davies, T. J., Archambault, A., Bruneau, A., Derry, A., Kembel, S. W., … & Wheeler, T. A. (2014). Ecology in the age of DNA barcoding: the resource, the promise and the challenges ahead.Molecular Ecology Resources , 14(2), 221–232.
Kenkel, N.C., Orloci, L. (1986). Applying metric and nonmetric multidimensional scaling to ecological studies: some new results.Ecology , 67, 919–928. doi:10.2307/1939814
Kimura, M. (1980). A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences.Journal of Molecular Evolution , 16, 111–120.
Koch, K. (1989). Ökologie. - Die Käfer Mitteleuropas . Band E1, 1–440. Krefeld: Goecke & Evers.
Koch, K. (1991). Ökologie. - Die Käfer Mitteleuropas . Band E2, 1–382. Krefeld: Goecke & Evers.
Koch, K. (1992). Ökologie. - Die Käfer Mitteleuropas . Band E3, 1–389. Krefeld: Goecke & Evers.
Köhler, F. & Klausnitzer, B. (Eds.) (1998). Verzeichnis der Käfer Deutschlands. Entomologische Nachrichten und BerichteBeiheft , 4, 1–185.
Köhler, F. (2000). Erster Nachtrag zum Verzeichnis der Käfer Deutschlands. Entomologische Nachrichten und Berichte, 44, 60–84.
Köhler, F. (2011a). 2. Nachtrag zum „Verzeichnis der Käfer Deutschlands“ (Köhler & Klausnitzer 1998) (Coleoptera). Teil 1.Entomologische Nachrichten und Berichte, 55, 109–174.
Köhler, F. (2011b). 2. Nachtrag zum „Verzeichnis der Käfer Deutschlands“ (Köhler & Klausnitzer 1998) (Coleoptera). Teil 2.Entomologische Nachrichten und Berichte , 55, 247–254.
Köhler, J., Rulik, B., Eberle, J., Köhler, F., Ahrens, D. (2022). Does ecological monitoring of saproxylic beetles benefit from the inclusion of larval stages? Insect Conservation and Diversity
Kühne, G., Kosuch, J., Hochkirch, A., Schmitt, T. (2017). Extra-Mediterranean glacial refugia in a Mediterranean faunal element: the phylogeography of the chalk-hill blue Polyommatus coridon(Lepidoptera, Lycaenidae ). Scientific Reports , 7, 43–533. http://doi.org/10.1038/srep43533
Kvist, S. (2013). Barcoding in the dark?: a critical view of the sufficiency of zoological DNA barcoding databases and a plea for broader integration of taxonomic knowledge. Molecular Phylogenetics and Evolution , 69, 39–45.
Landeiro, V.L., Magnusson, W.E., Melo, A.S., Espirito-Santo, H., Bini, L.M. (2011). Spatial eigenfunction analysis in stream networks: do watercourse and overland distances produce different results?Freshwater Biology , 56, 1184–1192.
Lapointe, B.E. (1995). A comparison of nutrient-limited productivity in Sargassum natans from neritic vs. oceanic waters of the western North Atlantic Ocean. Limnology and Oceanography , 40, 625–633. doi:10.4319/lo.1995.40.0625
Lee, C.R., Mitchell-Olds, T. (2011). Quantifying effects of environmental and geographical factors on patterns of genetic differentiation. Molecular Ecology , 20, 4631–464.
Legendre, P., Gallagher, E.D. (2001). Ecologically meaningful transformations for ordination of species data. Oecologia , 129, 271–280.
Legendre, P., Legendre, L. (2012). Numerical Ecology, 3rd edition.Elsevier , Amsterdam, 990 pp.
Legendre, P., Bocard, D., Peres-Neto, P.R. (2005). Analyzing beta diversity: partitioning the spatial variation of community composition data. Ecological Monograph , 75, 435–450.
Legendre, P., Fortin, M.J. (2010). Comparison of the Mantel test and alternative approaches for detecting complex multivariate relationships in the spatial analysis of genetic data. Molecular Ecology Resources , 10, 831–844.
Legendre, P., Fortin, M.J., Borcard, D. (2015). Should the Mantel test be used in spatial analysis? Methods in Ecology and Evolution , 6(11), 1239–1247.
Liebherr, J. (1988). Gene flow in ground beetles (Coleoptera: Carabidae) of differing habitat preference and flight-wing development.Evolution , 42, 129–137.
Lohse, G.A., Lucht, W.H. (1999). Ökologie. - Die Käfer Mitteleuropas, Band 14: 1–395. Springer Spektrum Verlag, Berlin Heidelberg.
Magnacca, K.N., Brown, M.J. (2010). Mitochondrial heteroplasmy and DNA barcoding in Hawaiian Hylaeus (Nesoprosopis) bees (Hymenoptera:Colletidae ). BMC Evolutionary Biology , 10, 174.
Manel, S., Schwartz, K., Luikart, G., Taberlet, P. (2003). Landscape genetics: Combining landscape ecology and population genetics.Trends in Ecology and Evolution , 18, 189–197.
Manel, S., Holderegger, R. (2013). Ten years of landscape genetics.Trends in Ecology and Evolution , 28, 614–621.
Mantel, N. (1967). The detection of disease clustering and a generalized regression approach. Cancer Research , 27, 209–220.
Moniz, M.B.J., Kaczmarska, I. (2010). Barcoding of diatoms: nuclear encoded ITS revisited. Protist , 161, 7–34.
Moore, W.S. (1995). Inferring phylogenies from mtDNA variation: Mitochondrial gene trees versus nuclear-gene trees. Evolution , 49, 718–726.
Múrria, C., Iturrarte, G., Gutiérrez-Cánovas, C. (2020). A trait space at an overarching scale yields more conclusive macroecological patterns of functional diversity. Global Ecology and Biogeography , 29, 1729–1742. https://doi.org/10.1111/geb.13146
Nunn, C.L., Borgerhoff Mulder, M., Langley, S. (2006). Comparative methods for studying cultural trait evolution: a simulation study.Cross-Cultural Research , 40, 177–209.
Oden, N.L., Sokal, R. (1992). An investigation of three-matrix permutation tests. Journal of Classification , 9, 275–290.
Oksanen, J., Blanchet, F.G., Friendy, M., Kindt, R., Legendre, P., McGlin, D., Minchin, P.R., O’Hara, R.B., Simpson, G.L., Solymos, P., Stevens, M.H.H., Szoecs, E., Wagner, H. (2017). Vegan: community Ecology Package. R package version 2.4-2
Paliy, O., Shankar, V. (2016). Application of multivariate statistical techniques in microbial ecology. Molecular Ecology , 25, 1032–1057.
Papadopoulou, A., Bergsten, J., Fujisawa, T., Monaghan, M.T., Barraclough, T.G., Vogler, A.P. (2008). Speciation and DNA barcodes: testing the effects of dispersal on the formation of discrete sequence clusters. Philosophical Transactions of the Royal Society B, 363, 2987–2996.
Paradis, E., Claude, J., Strimmer, K. (2004). APE: analyses of phylogenetics and evolution in R language. Bioinformatics , 20, 289–290.
Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science , 2(11), 559–572.
Pereira, H.M., Navarro, L.M., Martins, I.S. (2012). Global biodiversity change: the bad, the good, and the unknown. Annual Review of Environment and Resources , 37, 25–50. doi:10.1146/annurev-environ-042911-093511
Peres-Neto, P.R., Jackson, D.A. (2001). How well do multivariate data sets match? The advantages of a Procrustean superimposition approach over the Mantel test. Oecologia , 129, 169–178.
R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
Ratnasingham, S., Hebert, P.D. (2007). BOLD: The Barcode of Life Data System (http://www. barcodinglife.org). Molecular Ecology Notes , 7, 355–364.
Ribera, I., Vogler, A.P. (2000). Habitat type as a determinant of species range sizes: the example of lotic–lentic differences in aquatic Coleoptera. Biological Journal of Linnaean Society , 71, 33–52. (doi:10.1111/j.1095-8312.2000.tb01240.x)
Ribera, I., Foster, G.N., Vogler, A.P. (2003). Does habitat use explain large scale species richness patterns of aquatic beetles in Europe?Ecography , 26, 145–152.
Rosindell, J., Hubbell, S.P., Etienne, R.S. (2011). The unified neutral theory of biodiversity and biogeography at age ten. Trends in Ecology and Evolution , 26, 340–348.
RStudio Team (2016). RStudio: Integrated Development for R.RStudio , Inc., Boston, MA URL
Rulik, B., Eberle, J., von der Mark, L., Thormann, J., Jung, M., Köhler, F., Apfel, W., Weigel, A., Kopetz, A., Köhler, J., Fritzlar, F., Hartmann, M., Hadulla, K., Schmidt, J., Hörren, T., Krebs, D., Theves, F., Eulitz, U., Skale, A., Rohwedder, D., Kleeberg, A., Astrin, J.J., Geiger, M.F., Wägele, J.W., Grobe, P., Ahrens, D. (2017). Using taxonomic consistency with semi-automated data pre-processing for high quality DNA barcodes. Methods in Ecology and Evolution , 8, 1878–1887.
Rundell, R., Price, T.D. (2009). Adaptive radiation, nonadaptive radiation, ecological speciation and nonecological speciation.Trends in Ecology & Evolution , 24, 394–399.
Schmitt, T. (2009). Biogeographical and evolutionary importance of the European high mountain systems. Frontiers in Zoology , 6, 9. http://doi.org/10.1186/1742-9994-6-9
Schmitt, T. & Varga, Z. (2012). Extra-Mediterranean refugia: The rule and not the exception? Frontiers in Zoology , 9, 22. https://doi.org/10.1186/1742-9994-9-22
Schuldt, A., Assmann, T. (2011). Belowground carabid beetle diversity in the western Palaearctic – effects of history and climate on range-restricted taxa (Coleoptera, Carabidae). ZooKeys , 100, 461–474.
Šípek, P., Ahrens, D. (2011). Inferring larval taxonomy and morphology in Maladera species (Coleoptera: Scarabaeidae: Sericini) using DNA taxonomy tools. Systematic Entomology , 36, 628–643.
Sokal, R. (1979). Testing statistical significance of geographic variation patterns. Systematic Zoology , 28, 227–323.
Srivathsan, A., Meier, R. (2012). On the inappropriate use of Kimura-2-parameter (K2P) divergences in the DNA-barcoding literature.Cladistics , 28, 190–194.
Stewart, J.R., Lister, A.M., Barnes, I., Dalén, L. (2010). Refugia revisited: individualistic responses of species in space and time.Proceedings of the Royal Society B: Biological Sciences , 277, 661–671. http://doi.org/10.1098/rspb.2009.1272
Taberlet, P., Coissac, E., Pompanon, F., Brochmann, C., Willerslev, E. (2012). Towards next-generation biodiversity assessment using DNA metabarcoding. Molecular Ecology , 21, 2045–2050.
Toro, M., Caballero, A. (2005). Characterization and conservation of genetic diversity in subdivided populations. Philosophical Transactions of the Royal Society B: Biological Sciences , 360(1459), 1367–1378. http://doi.org/10.1098/rstb.2005.1680
Vellend, M., Lajoie, G., Bourret, A., Múrria, C., Kembel, S.W., Garant, D. (2014). Drawing ecological inferences from coincident patterns of population‐and community‐level biodiversity. Molecular Ecology , 23, 2890–2901.
Wagner, D.L., Grames, E.M., Forister, M.L., Berenbaum, M.R., Stopak, D. (2021). Insect decline in the Anthropocene: Death by a thousand cuts.Proceedings of the National Academy of Sciences , 118 (2), e2023989118; DOI: 10.1073/pnas.2023989118
Wang, C., Szpiech, Z.A., Degnan, J.H., Jakobsson, M., Pemberton, T.J., Hardy, J.A., Singleton, A.B., Rosenberg, N.A. (2010). Comparing spatial maps of human population-genetic variation using Procrustes analysis.Statistical Applications in Genetics and Molecular Biology , 9, 13.
Wang, I.J., Summers, K. (2010). Genetic structure is correlated with phenotypic divergence rather than geographic isolation in the highly polymorphic strawberry poison-dart frog. Molecular Ecology , 19, 447–458.
Wang, I.J., Glor, R.E., Losos, J.B. (2013). Quantifying the roles of ecology and geography in spatial genetic divergence. Ecology Letters , 16, 175–182.
Wright, S. (1943). Isolation by distance. Genetics , 28, 114–138.
Yu, D.W., Ji, Y., Emerson, B.C., Wang, X., Ye, C., Yang, C., Ding, Z. (2012). Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring. Methods in Ecology and Evolution , 3, 613–623.
Table 1. Number and their respective percentages (%) of species resulting to be significant in the correlation analysis of infraspecific distances vs. geographic distances, as performed by the Mantel test, NMDS+PCA, and PCNM+PCA (in comparison to the total species number of each category; Nspec), respective selected life traits of the species (feedings style, habitat, body size and biotope).