Pax, F. Grundzüge der Pflanzenverbreitung in den Karpathen. 1–342 (W. Engelmann, 1898). https://doi.org/10.5962/bhl.title.20419.
Popov [Попов], M. G. [М. Г.]. Ocherk rastitel’nosti i flory Karpat [Очерк растительности и флоры Карпат]. vol. 5 (XIII) (Izdatel’stvo Moskovskogo Obshchestva Ispytateley Prirody [Издательство Московского Общества Испытателей Природы], 1949).
Mráz, P. & Ronikier, M. Biogeography of the Carpathians: Evolutionary and spatial facets of biodiversity. Biol. J. Linn. Soc. 119, 528–559 (2016).
Google Scholar
Breman, E. et al. Conserving the endemic flora of the Carpathian Region: An international project to increase and share knowledge of the distribution, evolution and taxonomy of Carpathian endemics and to conserve endangered species. Plant Syst. Evol. 306, 59 (2020).
Google Scholar
Bálint, M. et al. The Carpathians as a Major Diversity Hotspot in Europe. in Biodiversity Hotspots: Distribution and Protection of Conservation Priority Areas (eds. Zachos, F. E. & Habel, J. C.) 189–205 (Springer, 2011). https://doi.org/10.1007/978-3-642-20992-5_11.
Rahbek, C. et al. Humboldt’s enigma: What causes global patterns of mountain biodiversity?. Science 365, 1108–1113 (2019).
Google Scholar
Hurdu, B. et al. Patterns of plant endemism in the Romanian Carpathians (South-Eastern Carpathians). Contrib. Bot. 47, 25–38 (2012).
Pawłowski, B. Remarques sur l’endemisme dans la flore des Alpes et des Carpates. Plant Ecol. 21, 181–243 (1970).
Google Scholar
Ronikier, M. Biogeography of high-mountain plants in the Carpathians: An emerging phylogeographical perspective. Taxon 373–389 (2011).
Hendrych, R. Primula vulgaris in der Slowakei und in den umliegenden Gebieten. Preslia Praha 68, 135–156 (1996).
Hendrych, R. & Hendrychová, H. Preliminary report on the Dacian migroelement in the flora of Slovakia. Preslia Praha 51, 313–332 (1979).
Sramkó, G. „Dunántúli” közép-dunai flóraválasztós fajok a Matricum flórájában. KITAIBELIA 9, 31–56 (2004).
Juřičková, L. et al. Early postglacial recolonisation, refugial dynamics and the origin of a major biodiversity hotspot. A case study from the Malá Fatra mountains, Western Carpathians, Slovakia. The Holocene 28, 583–594 (2018).
Kliment, J., Turis, P. & Janišová, M. Taxa of vascular plants endemic to the Carpathian Mts. Preslia -Praha- 88, 19–76 (2016).
Konowalik, K. Reconstructing reticulate relationships in the polyploid complex of Leucanthemum Mill. (Compositae, Anthemideae). (Fakultät für Biologie und Vorklinische Medizin, Universität Regensburg, 2014).
Konowalik, K., Wagner, F., Tomasello, S., Vogt, R. & Oberprieler, C. Detecting reticulate relationships among diploid Leucanthemum Mill. (Compositae, Anthemideae) taxa using multilocus species tree reconstruction methods and AFLP fingerprinting. Mol. Phylogenet. Evol. 92, 308–328 (2015).
Wagner, F. et al. ‘At the crossroads towards polyploidy’: Genomic divergence and extent of homoploid hybridization are drivers for the formation of the ox-eye daisy polyploid complex (Leucanthemum, Compositae-Anthemideae). New Phytol. 223, 2039–2053 (2019).
Google Scholar
Wagner, F., Härtl, S., Vogt, R. & Oberprieler, C. “Fix Me Another Marguerite!”: Species delimitation in a group of intensively hybridizing lineages of ox-eye daisies (Leucanthemum Mill., Compositae-Anthemideae). Mol. Ecol. 26, 4260–4283 (2017).
Piękoś-Mirkowa, H., Mirek, Z. & Miechowka, A. Endemic vascular plants in the Polish Tatra Mts. – distribution and ecology. Pol. Bot. Stud. 12, (1996).
Zelený, V. Taxonomisch-chorologische Studie über die Art Leucanthemum rotundifolium (W. K.) DC. Folia Geobot. 5, 369–400 (1970).
Piękoś, H. Nowy mieszaniec między Leucanthemum rotundifolium (W. et K.) DC. a L. vulgare Lam. var. alpicolum Gremli – Hybrida nova inter Leucanthemum rotundifolium (W. et K.) DC. et L. vulgare Lam. var. alpicolum Gremli. Fragm. Florist. Geobot. 16, 319–326 (1970).
Rogalski, M., do Nascimento Vieira, L., Fraga, H. P. & Guerra, M. P. Plastid genomics in horticultural species: importance and applications for plant population genetics, evolution, and biotechnology. Front. Plant Sci. 6, (2015).
Greiner, R., Vogt, R. & Oberprieler, C. Evolution of the polyploid north-west Iberian Leucanthemum pluriflorum clan (Compositae, Anthemideae) based on plastid DNA sequence variation and AFLP fingerprinting. Ann. Bot. 111, 1109–1123 (2013).
Google Scholar
Oberprieler, C., Konowalik, K., Fackelmann, A. & Vogt, R. Polyploid speciation across a suture zone: phylogeography and species delimitation in S French Leucanthemum Mill. representatives (Compositae–Anthemideae). Plant Syst. Evol. 304, 1141–1155 (2018).
Oberprieler, C., Greiner, R., Konowalik, K. & Vogt, R. The reticulate evolutionary history of the polyploid NW Iberian Leucanthemum pluriflorum clan (Compositae, Anthemideae) as inferred from nrDNA ETS sequence diversity and eco-climatological niche-modelling. Mol. Phylogenet. Evol. 70, 478–491 (2014).
Google Scholar
Alexander, P. J., Rajanikanth, G., Bacon, C. D. & Bailey, C. D. Recovery of plant DNA using a reciprocating saw and silica-based columns. Mol. Ecol. Notes 7, 5–9 (2007).
Google Scholar
Sang, T., Crawford, D. & Stuessy, T. Chloroplast DNA phylogeny, reticulate evolution, and biogeography of Paeonia (Paeoniaceae). Am. J. Bot. 84, 1120 (1997).
Google Scholar
Scheunert, A., Dorfner, M., Lingl, T. & Oberprieler, C. Can we use it? On the utility of de novo and reference-based assembly of Nanopore data for plant plastome sequencing. PLoS ONE 15, e0226234 (2020).
Google Scholar
Timme, R. E., Kuehl, J. V., Boore, J. L. & Jansen, R. K. A comparative analysis of the Lactuca and Helianthus (Asteraceae) plastid genomes: Identification of divergent regions and categorization of shared repeats. Am. J. Bot. 94, 302–312 (2007).
Google Scholar
Hall, T. BioEdit: A user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp. Ser 41, 95–98 (1999).
Google Scholar
Ronquist, F. et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 61, 539–542 (2012).
Simmons, M. P. & Ochoterena, H. Gaps as characters in sequence-based phylogenetic analyses. Syst. Biol. 49, 369–381 (2000).
Google Scholar
Müller, K. SeqState: Primer design and sequence statistics for phylogenetic DNA datasets. Appl. Bioinformatics 4, 65–69 (2005).
Google Scholar
Darriba, D., Taboada, G. L., Doallo, R. & Posada, D. jModelTest 2: more models, new heuristics and parallel computing. Nat. Meth. 9, 772 (2012).
Google Scholar
Guindon, S. & Gascuel, O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol. 52, 696–704 (2003).
Google Scholar
Jukes, T. H. & Cantor, C. R. Evolution of Protein Molecules. in Mammalian Protein Metabolism 21–132 (Elsevier, 1969). https://doi.org/10.1016/B978-1-4832-3211-9.50009-7.
Rambaut, A., Drummond, A. J., Xie, D., Baele, G. & Suchard, M. A. Posterior summarization in bayesian phylogenetics using tracer 1.7. Syst. Biol. 67, 901–904 (2018).
Kumar, S., Stecher, G., Li, M., Knyaz, C. & Tamura, K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 35, 1547–1549 (2018).
Google Scholar
Tamura, K., Tao, Q. & Kumar, S. Theoretical foundation of the reltime method for estimating divergence times from variable evolutionary rates. Mol. Biol. Evol. 35, 1770–1782 (2018).
Google Scholar
Tamura, K. et al. Estimating divergence times in large molecular phylogenies. Proc. Natl. Acad. Sci. 109, 19333–19338 (2012).
Google Scholar
Tao, Q., Tamura, K., Mello, B. & Kumar, S. Reliable confidence intervals for reltime estimates of evolutionary divergence times. Mol. Biol. Evol. 37, 280–290 (2020).
Google Scholar
Bouckaert, R. et al. BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis. PLOS Comput. Biol. 15, e1006650 (2019).
Mello, B., Tao, Q., Barba-Montoya, J. & Kumar, S. Molecular dating for phylogenies containing a mix of populations and species by using Bayesian and RelTime approaches. Mol. Ecol. Resour. 21, 122–136 (2021).
Google Scholar
Wang, wei-M. On the origin and development of Artemisia (Asteraceae) in the geological past. Bot. J. Linn. Soc. 145, 331–336 (2004).
Clement, M., Snell, Q., Walker, P., Posada, D. & Crandall, K. TCS: Estimating Gene Genealogies. in Proceedings of the 16th International Parallel and Distributed Processing Symposium 311 (IEEE Computer Society, 2002).
Leigh, J. W. & Bryant, D. popart: full-feature software for haplotype network construction. Methods Ecol. Evol. 6, 1110–1116 (2015).
Google Scholar
Cheng, L., Connor, T. R., Sirén, J., Aanensen, D. M. & Corander, J. Hierarchical and spatially explicit clustering of DNA sequences with BAPS software. Mol. Biol. Evol. 30, 1224–1228 (2013).
Google Scholar
Tonkin-Hill, G., Lees, J. A., Bentley, S. D., Frost, S. D. W. & Corander, J. RhierBAPS: An R implementation of the population clustering algorithm hierBAPS. Wellcome Open Res. 3, 93 (2018).
Google Scholar
Yu, Y., Blair, C. & He, X. RASP 4: Ancestral state reconstruction tool for multiple genes and characters. Mol. Biol. Evol. 37, 604–606 (2020).
Google Scholar
Ali, S. S., Yu, Y., Pfosser, M. & Wetschnig, W. Inferences of biogeographical histories within subfamily Hyacinthoideae using S-DIVA and Bayesian binary MCMC analysis implemented in RASP (Reconstruct Ancestral State in Phylogenies). Ann. Bot. 109, 95–107 (2012).
Google Scholar
Araújo, M. B. et al. Standards for distribution models in biodiversity assessments. Sci. Adv. 5, eaat4858 (2019).
Konowalik, K. & Nosol, A. Evaluation metrics and validation of presence-only species distribution models based on distributional maps with varying coverage. Sci. Rep. 11, 1482 (2021).
Google Scholar
Hamner, B., Frasco, M. & LeDell, E. Metrics: Evaluation metrics for machine learning (2018).
Ripley, B. & Venables, W. nnet: Feed-forward neural networks and multinomial log-linear models. (2020).
Thuiller, W., Georges, D., Engler, R. & Breiner, F. biomod2: Ensemble Platform for Species Distribution Modeling. (2020).
Therneau, T., Atkinson, B., port, B. R. (producer of the initial R. & maintainer 1999–2017). rpart: Recursive Partitioning and Regression Trees. (2019).
Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E. & Blair, M. E. Opening the black box: An open-source release of Maxent. Ecography 40, 887–893 (2017).
Google Scholar
Friedman, J. H. Greedy function approximation: A gradient boosting machine. Ann. Stat. 29, 1189–1232 (2001).
Google Scholar
Hijmans, R. J., Phillips, S., Leathwick, J. & Elith, J. dismo: Species distribution modeling. (2017).
Carlson, C. J. embarcadero: Species distribution modelling with Bayesian additive regression trees in r. Methods Ecol. Evol. 11, 850–858 (2020).
Google Scholar
Jasiewicz, A. Rośliny naczyniowe Bieszczadów Zachodnich [The Vascular Plants of the Western Bieszczady Mts. (East Carpathians)]. Monogr. Bot. 20, 1–340 (1965).
Kornaś, J. Charakterystyka geobotaniczna Gorców [Caractéristique géobotanique des Gorces (Karpathes Occidentales Polonaises)]. Monogr. Bot. 3, 3–230 (1955).
Google Scholar
de Oliveira, G., Rangel, T. F., Lima-Ribeiro, M. S., Terribile, L. C. & Diniz-Filho, J. A. F. Evaluating, partitioning, and mapping the spatial autocorrelation component in ecological niche modeling: a new approach based on environmentally equidistant records. Ecography 37, 637–647 (2014).
Google Scholar
Sobral-Souza, T., Lima-Ribeiro, M. S. & Solferini, V. N. Biogeography of Neotropical Rainforests: past connections between Amazon and Atlantic Forest detected by ecological niche modeling. Evol. Ecol. 29, 643–655 (2015).
Google Scholar
Varela, S., Anderson, R. P., García-Valdés, R. & Fernández-González, F. Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models. Ecography 37, 1084–1091 (2014).
Barve, N. et al. The crucial role of the accessible area in ecological niche modeling and species distribution modeling. Ecol. Model. 222, 1810–1819 (2011).
Google Scholar
Karger, D. N. et al. Data from: Climatologies at high resolution for the earth’s land surface areas. 7266827510 bytes (2018) 10.5061/DRYAD.KD1D4.
Karger, D. N. et al. Climatologies at high resolution for the earth’s land surface areas. Sci. Data 4, 1–20 (2017).
Google Scholar
Wing, M. K. C. from J. et al. caret: Classification and regression training. (2019).
Smith, A. B. & Santos, M. J. Testing the ability of species distribution models to infer variable importance. Ecography 43, 1801–1813 (2020).
Google Scholar
Evans, J. S., Murphy, M. A. & Ram, K. spatialEco: Spatial analysis and modelling utilities. (2021).
Brown, J. L., Hill, D. J., Dolan, A. M., Carnaval, A. C. & Haywood, A. M. PaleoClim, high spatial resolution paleoclimate surfaces for global land areas. Sci. Data 5, 180254 (2018).
Google Scholar
Araújo, M. B., Whittaker, R. J., Ladle, R. J. & Erhard, M. Reducing uncertainty in projections of extinction risk from climate change. Glob. Ecol. Biogeogr. 14, 529–538 (2005).
Google Scholar
Zhu, G., Fan, J. & Peterson, A. T. Cautions in weighting individual ecological niche models in ensemble forecasting. Ecol. Model. 448, 109502 (2021).
Google Scholar
Hijmans, R. J. et al. raster: Geographic data analysis and modeling. (2021).
R Core Team. R: A language and environment for statistical computing. (2019).
QGIS Development Team. QGIS geographic information system. (2019).
Frajman, B. & Oxelman, B. Reticulate phylogenetics and phytogeographical structure of Heliosperma (Sileneae, Caryophyllaceae) inferred from chloroplast and nuclear DNA sequences. Mol. Phylogenet. Evol. 43, 140–155 (2007).
Google Scholar
Ronikier, M., Cieślak, E. & Korbecka, G. High genetic differentiation in the alpine plant Campanula alpina Jacq. (Campanulaceae): evidence for glacial survival in several Carpathian regions and long-term isolation between the Carpathians and the Alps. Mol. Ecol. 17, 1763–1775 (2008).
Ehrich, D. et al. Genetic consequences of Pleistocene range shifts: contrast between the Arctic, the Alps and the East African mountains. Mol. Ecol. 16, 2542–2559 (2007).
Google Scholar
Šrámková, G. et al. Phylogeography and taxonomic reassessment of Arabidopsis halleri—a montane species from Central Europe. Plant Syst. Evol. 305, 885–898 (2019).
Google Scholar
Birks & Willis, K. J. Alpines, trees, and refugia in Europe. Plant Ecol. Divers. 1, 147–160 (2008).
Jarčuška, B., Kaňuch, P., Naďo, L. & Krištín, A. Quantitative biogeography of Orthoptera does not support classical qualitative regionalization of the Carpathian Mountains. Biol. J. Linn. Soc. 128, 887–900 (2019).
Google Scholar
Tadono, T. et al. Precise global DEM generation by ALOS PRISM. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 4, 71–76 (2014).
Google Scholar
Lisiecki, L. E. & Raymo, M. E. A Pliocene-Pleistocene stack of 57 globally distributed benthic δ18O records. Paleoceanography 20, 1 (2005).
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