• Abbass, K. et al. A review of the global climate change impacts, adaptation, and sustainable mitigation measures. Environ. Sci. Pollut. Res. 29, 42539–42559. https://doi.org/10.1007/s11356-022-19718-6 (2022).

    Article 

    Google Scholar
     

  • Chen, I.-C., Hill, J. K., Ohlemüller, R., Roy, D. B. & Thomas, C. D. Rapid range shifts of species associated with high levels of climate warming. Science 333, 1024–1026. https://doi.org/10.1126/science.1206432 (2011).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Eyring, V. et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev. 9, 1937–1958. https://doi.org/10.5194/gmd-9-1937-2016 (2016).

    Article 
    ADS 

    Google Scholar
     

  • Wei, L. et al. Predicting suitable habitat for the endangered tree Ormosia microphylla in China. Sci. Rep. 14, 10330. https://doi.org/10.1038/s41598-024-61200-5 (2024).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Adedoja, O. A., Dormann, C. F., Coetzee, A. & Geerts, S. Moving with your mutualist: Predicted climate-induced mismatch between Proteaceae species and their avian pollinators. J. Biogeogr. 51, 992–1003. https://doi.org/10.1111/jbi.14804 (2024).

    Article 

    Google Scholar
     

  • Cho, K. H., Park, J.-S., Kim, J. H., Kwon, Y. S. & Lee, D.-H. Modeling the distribution of invasive species (Ambrosia spp) using regression kriging and Maxent. Front. Ecol. Evol. 10, 4523. https://doi.org/10.3389/fevo.2022.1036816 (2022).

    Article 

    Google Scholar
     

  • Di Febbraro, M. et al. Different facets of the same niche: Integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers. Glob. Change Biol. 29, 5509–5523. https://doi.org/10.1111/gcb.16901 (2023).

    Article 
    CAS 

    Google Scholar
     

  • van der Pijl, L. & Dodson, C. An atlas of orchid pollination. America, Africa, Asia and Australia 308 (A.A. Balkema Publishers, 1966).

  • Dearnaley, J. D. W. Further advances in orchid mycorrhizal research. Mycorrhiza 17, 475–486. https://doi.org/10.1007/s00572-007-0138-1 (2007).

    Article 
    PubMed 

    Google Scholar
     

  • Meusel, H., Jäger, E. & Weinert, E. Vergleichende Chorologie der Zentraleuropäischen Flora (VEB Verlag von Gustav Fischer,, 1965).

  • Kühn, R., Cribb, P. & Pedersen, H. Æ. Field guide to the orchids of Europe and the Mediterranean (Kew Publishing, 2019).

  • Kaplan, Z. et al. Distributions of vascular plants in the Czech Republic Part 11. Preslia 94, 335–427 (2022).


    Google Scholar
     

  • Bateman, R. M. Systematics and conservation of British and Irish orchids: a “state of the union” assessment to accompany Atlas 2020. Kew. Bull. 77, 355–402. https://doi.org/10.1007/s12225-022-10016-5 (2022).

    Article 

    Google Scholar
     

  • Osiadacz, B. & Kręciała, M. Ophrys apifera Huds (Orchidaceae), a new orchid species to the flora of Poland. Biodiv. Res. Conserv. 36, 11–16 (2014).


    Google Scholar
     

  • Wójcicka-Rosińska, A., Rosiński, D. & Szczęśniak, E. Ophrys apifera Huds (Orchidaceae) on a heap of limestone mine waste – the first population found in the Sudetes and the second in Poland. Biodiversity Research and Conservation 59, 9–14. https://doi.org/10.2478/biorc-2020-0007 (2020).

    Article 

    Google Scholar
     

  • Mattiasson, G. Om fyra nya Skånearter. Sven. Bot. Tidskr. 109, 340–345 (2015).


    Google Scholar
     

  • Zimmermann, F. Verbreitung und gefährdungssituation der heimischen orchideen (orchidaceae) in Brandenburg Teil 3: Stark gefährdete, gefährdete und ungefährdete Arten sowie Arten mit unzureichender Datenlage. Naturschutz und Landschaftspflege in Brandenburg 20, 80–96 (2011).


    Google Scholar
     

  • Lüdicke, T. Erstnachweis für Ophrys apifera Hudson in Brandenburg. Natursch. Landschaftspfl. Brbg. 16, 57–58 (2007).


    Google Scholar
     

  • Zimmermann, F. Die Orchideen Brandenburgs – Verbreitung, Gefährdung. Schutz. Ber. Arbeitskrs. Heim. Orchid. 35, 4–147 (2018).


    Google Scholar
     

  • Kullenberg, B. Studies in Ophrys pollination. Zool. Bidrag Fran Uppsala 34, 1–340 (1961).


    Google Scholar
     

  • Kullenberg, B. & Bergström, G. Hymenoptera Aculeata males as pollinators of Ophrys orchids. Zoolog. Scr. 5, 13–23 (1976).


    Google Scholar
     

  • Fenster, C. B. & Martén-Rodríguez, S. Reproductive assurance and the evolution of pollination specialization. Int. J. Plant Sci. 168, 215–228. https://doi.org/10.1086/509647 (2007).

    Article 

    Google Scholar
     

  • Darwin, C. Various Contrivances by Which Orchids Are Fertilized by Insects. (John Murray, 1877).

  • Claessens, J. & Kleynen, J. Investigations on the autogamy in Ophrys apifera Hudson. Jahresbericht des Naturwissenschaftlichen Vereins Wuppertal 55, 62–77 (2002).


    Google Scholar
     

  • Mossberg, B. & Æ., P. H. Orkideer i Europa. (Gyldendal, 2017).

  • Kullenberg, B. Hymenoptera aculeata males as pollinators of Ophrys orchids. Zool. Scr. 5, 13–23 (1976).


    Google Scholar
     

  • Claessens, J. & Kleynen, J. The Flower of the European Orchid: Form and Function (Self Published, 2011).

  • Ackerman, J. D. et al. Beyond the various contrivances by which orchids are pollinated: global patterns in orchid pollination biology. Bot. J. Linnean Soc. 2023, boac082. https://doi.org/10.1093/botlinnean/boac082 (2023).

  • Wells, T. C. E. & Cox, R. in Population ecology of terrestrial orchids (eds T. C. E. Wells & J. H. Willems) 47–61 (Academic Publishing, 1991).

  • Heinrich, W. & Dietrich, H. Heimische Orchideen in urbanen Biotopen. Feddes Repertorium 119, 388–432. https://doi.org/10.1002/fedr.200811172 (2008).

    Article 

    Google Scholar
     

  • La Croix, I. The new encyclopedia of orchids : 1500 species in cultivation (Timber Press, 2008).

  • Pedersen, H. A. & Faurholdt, N. Ophrys: a guide to the bee orchids of Europe (Kew Publishing, 2007).

  • Harrap, A. & Harrap, S. Orchids of Britain and Ireland. 2nd ed. (A and C Black Publ. Ltd., 2009).

  • Summerhayes, V. S. Wild Orchids of Britain (Collins, 1951).

  • Doyle, J. J. & Doyle, J. L. A Rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem. Bull. 19, 11–15 (1987).


    Google Scholar
     

  • Soliva, M., Kocyan, A. & Widmer, A. Molecular phylogenetics of the sexually deceptive orchid genus Ophrys (Orchidaceae) based on nuclear and chloroplast DNA sequences. Mol. Phylogenet. Evol. 20, 78–88. https://doi.org/10.1006/mpev.2001.0953 (2001).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Sun, Y., Skinner, D. Z., Liang, G. H. & Hulbert, S. H. Phylogenetic analysis of Sorghum and related taxa using internal transcribed spacers of nuclear ribosomal DNA. Theor. Appl. Genet. 89, 26–32. https://doi.org/10.1007/bf00226978 (1994).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Cotrim, H. et al. Isolation and characterization of novel polymorphic nuclear microsatellite markers from Ophrys fusca (Orchidaceae) and cross-species amplification. Conserv. Genet. 10, 739–742. https://doi.org/10.1007/s10592-008-9634-x (2009).

    Article 
    CAS 

    Google Scholar
     

  • Cotrim, H., Monteiro, F., Sousa, E., Pinto, M. J. & Fay, M. F. Marked hybridization and introgression in Ophrys sect Pseudophrys in the western Iberian Peninsula. Am. J. Bot. 103, 677–691. https://doi.org/10.3732/ajb.1500252 (2016).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Barton, N. H. & Slatkin, M. A Quasi-equilibrium theory of the distribution of rare alleles in a subdivided population. Heredity 56, 409–415. https://doi.org/10.1038/hdy.1986.63 (1986).

    Article 
    PubMed 

    Google Scholar
     

  • Rousset, F. genepop’007: a complete re-implementation of the genepop software for Windows and Linux. Mol. Ecol. Resour. 8, 103–106. https://doi.org/10.1111/j.1471-8286.2007.01931.x (2008).

    Article 
    PubMed 

    Google Scholar
     

  • Goudet, J. http://www2.unil.ch/popgen/softwares/fstat.htm (2001).

  • Pritchard, J. K., Stephens, M. & Donnelly, P. Inference of population structure using multilocus genotype data. Genetics 155, 945–959. https://doi.org/10.1093/genetics/155.2.945 (2000).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Falush, D., Stephens, M. & Pritchard, J. K. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164, 1567–1587. https://doi.org/10.1093/genetics/164.4.1567 (2003).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Li, Y.-L. & Liu, J.-X. StructureSelector: a web-based software to select and visualize the optimal number of clusters using multiple methods. Mol. Ecol. Resour. 18, 176–177. https://doi.org/10.1111/1755-0998.12719 (2018).

    Article 
    PubMed 

    Google Scholar
     

  • Evanno, G., Regnaut, S. & Goudet, J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol. Ecol. 14, 2611–2620. https://doi.org/10.1111/j.1365-294X.2005.02553.x (2005).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Hammer, Ø., Harper, D. A. T. & Ryan, P. D. PAST: paleontological statistics software package for education and data analysis. Palaeontol. Electron. 4, 1–9 (2001).


    Google Scholar
     

  • Cornuet, J. M. & Luikart, G. Description and power analysis of two tests for detecting recent population bottlenecks from allele frequency data. Genetics 144, 2001–2014. https://doi.org/10.1093/genetics/144.4.2001 (1996).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Van Oosterhout, C., Hutchinson, W. F., Wills, D. P. M. & Shipley, P. micro-checker: software for identifying and correcting genotyping errors in microsatellite data. Mol. Ecol. Notes 4, 535–538. https://doi.org/10.1111/j.1471-8286.2004.00684.x (2004).

    Article 
    CAS 

    Google Scholar
     

  • Beerli, P. & Felsenstein, J. Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach. Proc. Natl. Acad. Sci. U. S. A. 98, 4563–4568. https://doi.org/10.1073/pnas.081068098 (2001).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar
     

  • Beerli, P. & Palczewski, M. Unified framework to evaluate panmixia and migration direction among multiple sampling locations. Genetics 185, 313–326. https://doi.org/10.1534/genetics.109.112532 (2010).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Nei, M. & Li, W. H. Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc. Natl. Acad. Sci. U. S. A. 76, 5269–5273. https://doi.org/10.1073/pnas.76.10.5269 (1979).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar
     

  • Tajima, F. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics 123, 585–595. https://doi.org/10.1093/genetics/123.3.585 (1989).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Nei, M. Molecular evolutionary genetics (Columbia Univ, 1987).


    Google Scholar
     

  • Eliades, N. G. & Eliades, D. G. Haplotype Analysis: Software for Analysis of Haplotypes Data. (Forest Genetics and Forest Tree Breeding, Georg-Augst University Goettingen, 2009).

  • Bandelt, H.-J., Forster, P. & Röhl, A. Median-joining networks for inferring intraspecific phylogenies. Mol. Biol. Evol. 16(1), 37–48 (1999).

    CAS 
    PubMed 

    Google Scholar
     

  • Slatkin, M. Inbreeding coefficients and coalescence times. Genet. Res. 58, 167–175. https://doi.org/10.1017/s0016672300029827 (1991).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Excoffier, L. & Lischer, H. E. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resour. 10, 564–567. https://doi.org/10.1111/j.1755-0998.2010.02847.x (2010).

    Article 
    PubMed 

    Google Scholar
     

  • Liedloff A. C. Mantel Nonparametric Test Calculator. Version 2.0 (School of Natural Resource Sciences. Brisbane, QueenslandUniversity of Technology, 1999).

  • GBIF.org. The Global Biodiversity Information Facility (2023).

  • Tashev, A., Vitkova, A. & Russakova, V. Distribution of Ophrys apifera Huds (Orchidaceae) in Bulgaria. Flora Mediterranea 16, 247–252 (2006).


    Google Scholar
     

  • Szatmari, P.-P. Ophrys apifera (Orchidaceae) in Transylvanian Flora, Romania. Acta Horti Bot. Bucurest. 43, 31–40 (2016).


    Google Scholar
     

  • Anastasiu, P. New chorological data for rare vascular plants from Romania. Acta Horti Bot. Bucurest. 42, 57–62 (2015).


    Google Scholar
     

  • Djordjević, V., Lakušić, D., Jovanović, S. & Stevanović, V. Distribution and conservation status of some rare and threatened orchid taxa in the central Balkans and the southern part of the Pannonian Plain. Wulfenia 24, 143–162 (2017).


    Google Scholar
     

  • Luoto, M. & Heikkinen, R. K. Disregarding topographical heterogeneity biases species turnover assessments based on bioclimatic models. Glob. Change Biol. 14, 483–494. https://doi.org/10.1111/j.1365-2486.2007.01527.x (2008).

    Article 
    ADS 

    Google Scholar
     

  • Sorbe, F., Gränzig, T. & Förster, M. Evaluating sampling bias correction methods for invasive species distribution modeling in Maxent. Eco. Inform. 76, 102124. https://doi.org/10.1016/j.ecoinf.2023.102124 (2023).

    Article 

    Google Scholar
     

  • Elith, J. et al. A statistical explanation of MaxEnt for ecologists. Divers. Distrib. 17, 43–57. https://doi.org/10.1111/j.1472-4642.2010.00725.x (2011).

    Article 

    Google Scholar
     

  • Phillips, S., Anderson, R. & Schapire, R. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190, 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026 (2006).

    Article 

    Google Scholar
     

  • Phillips, S. & Dudik, M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31, 161–175. https://doi.org/10.1111/j.0906-7590.2008.5203.x (2008).

    Article 
    ADS 

    Google Scholar
     

  • Fick, S. & Hijmans, R. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315. https://doi.org/10.1002/joc.5086 (2017).

    Article 

    Google Scholar
     

  • Anderson, R. & Raza, A. The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela. J. Biogeogr. 37, 1378–1393. https://doi.org/10.1111/j.1365-2699.2010.02290.x (2010).

    Article 

    Google Scholar
     

  • Barve, N. et al. The crucial role of the accessible area in ecological niche modeling and species distribution modeling. Ecol. Model. 222, 1810–1819. https://doi.org/10.1016/j.ecolmodel.2011.02.011 (2011).

    Article 

    Google Scholar
     

  • Brown, J. SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. Methods Ecol. Evol. 5, 694–700. https://doi.org/10.1111/2041-210X.12200 (2014).

    Article 

    Google Scholar
     

  • Brown, J. L., Bennett, J. R. & French, C. M. SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. PeerJ 5, e4095. https://doi.org/10.7717/peerj.4095 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • McGee, R., Williams, S., Poulton, R. & Moffitt, T. A longitudinal study of cannabis use and mental health from adolescence to early adulthood. Addiction 95, 491–503. https://doi.org/10.1046/j.1360-0443.2000.9544912.x (2000).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Meinshausen, M. et al. The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500. Geosci. Model Dev. 13, 3571–3605. https://doi.org/10.5194/gmd-13-3571-2020 (2020).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Li, J. et al. Coupled SSPs-RCPs scenarios to project the future dynamic variations of water-soil-carbon-biodiversity services in Central Asia. Ecol. Indic. 129, 1452. https://doi.org/10.1016/j.ecolind.2021.107936 (2021).

    Article 
    CAS 

    Google Scholar
     

  • Yukimoto, S. et al. The meteorological research institute earth system model version 2.0, MRI-ESM2.0: description and basic evaluation of the physical component. J. Meteorol. Soc. Japan. Ser. II 97, 931–965. https://doi.org/10.2151/jmsj.2019-051 (2019).

  • Parding, K. M. et al. GCMeval – an interactive tool for evaluation and selection of climate model ensembles. Clim. Serv. 18, 100167. https://doi.org/10.1016/j.cliser.2020.100167 (2020).

    Article 

    Google Scholar
     

  • Owens, H. et al. Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas. Ecol. Model. 263, 10–18. https://doi.org/10.1016/j.ecolmodel.2013.04.011 (2013).

    Article 

    Google Scholar
     

  • Mason, S. & Graham, N. Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation. Q. J. R. Meteorol. Soc. 128, 2145–2166. https://doi.org/10.1256/003590002320603584 (2002).

    Article 
    ADS 

    Google Scholar
     

  • Allouche, O., Tsoar, A. & Kadmon, R. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J. Appl. Ecol. 43, 1223–1232. https://doi.org/10.1111/j.1365-2664.2006.01214.x (2006).

    Article 

    Google Scholar
     

  • Kolanowska, M. Future distribution of the epiphytic leafless orchid (Dendrophylax lindenii), its pollinators and phorophytes evaluated using niche modelling and three different climate change projections. Sci. Rep. 13, 15242. https://doi.org/10.1038/s41598-023-42573-5 (2023).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ali, H. et al. Expanding or shrinking? range shifts in wild ungulates under climate change in Pamir-Karakoram mountains Pakistan. PLoS ONE 16, e0260031. https://doi.org/10.1371/journal.pone.0260031 (2022).

    Article 
    CAS 

    Google Scholar
     

  • Pereyra, P. J. & Guiaşu, R. C. Debate over the importance and meaning of native range in invasion biology: reply to Courchamp et al. Conserv. Biol. 34, 1044-1046. https://doi.org/10.1111/cobi.13529 (2020).

  • Carné, A., Vieites, D. R. & Sillero, N. Potential effects of climate change on the threatened Malagasy poison frogs: A multispecies approach. Ecosphere 16, e70315. https://doi.org/10.1002/ecs2.70315 (2025).

    Article 

    Google Scholar
     

  • Baker, H. G. & Stebbins, G. L. The Genetics of Colonizing Species (Academic Press, 1965).

  • Hamrick, J. L. & Godt, M. J. W. in Plant Population Genetics, Breeding and Genetic Resources (eds A. H. D. Brown, M. T. Clegg, A. L. Kahler, & B. S. Weir) 43–63 (Sinauer Press, 1989).

  • Charlesworth, B., Jordan, C. Y. & Charlesworth, D. The evolutionary dynamics of sexually antagonistic mutations in pseudoautosomal regions of sex chromosomes. Evolution 68, 1339–1350. https://doi.org/10.1111/evo.12364 (2014).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kalisz, S. et al. The mechanism of delayed selfing in Collinsia verna (Scrophulariaceae). Am. J. Bot. 86, 1239–1247 (1999).

    CAS 
    PubMed 

    Google Scholar
     

  • Cisternas-Fuentes, A., Forehand, C., Morris, K., Busch, J. W. & Koski, M. H. Drift in small populations predicts mate availability and the breakdown of self-incompatibility in a clonal polyploid. New Phytol. 245, 2268–2278. https://doi.org/10.1111/nph.20338 (2025).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Charlesworth, D. Evolution of plant breeding systems. Curr. Biol. 16, R726-735. https://doi.org/10.1016/j.cub.2006.07.068 (2006).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Holsinger, K. E. The scope and the limits of conservation genetics. Evolution 50, 2558–2561. https://doi.org/10.2307/2410726 (1996).

    Article 

    Google Scholar
     

  • Macnair, M. R., Macnair, V. E. & Martin, B. E. Adaptive speciation in Mimulus: an ecological comparison of M. cupriphilus with its presumed progenitor M. guttatus. New Phytol. 112, 269–279. https://doi.org/10.1111/j.1469-8137.1989.tb02383.x (1989).

    Article 

    Google Scholar
     

  • Squirrell, J., Hollingsworth, P. M., Bateman, R. M., Tebbitt, M. C. & Hollingsworth, M. L. Taxonomic complexity and breeding system transitions: conservation genetics of the Epipactis leptochila complex (Orchidaceae). Mol Ecol 11, 1957–1964. https://doi.org/10.1046/j.1365-294x.2002.01610.x (2002).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Tałałaj, I., Ostrowiecka, B., Włostowska, E., Rutkowska, A. & Brzosko, E. The ability of spontaneous autogamy in four orchid species: Cephalanthera rubra, Neottia ovata, Gymnadenia conopsea, and Platanthera bifolia. Acta Biol. Cracov. Bot. 59, 51–61 (2017).


    Google Scholar
     

  • Suetsugu, K. Delayed autonomous self-pollination in two Japanese varieties of Epipactis helleborine (Orchidaceae). Bot. J. Linn. Soc. 173, 733–743. https://doi.org/10.1111/boj.12111 (2013).

    Article 

    Google Scholar
     

  • Ackerman, J. D. in Proceedings of the Eleventh World Orchid Conference. (ed K. Tan) 98–101 (Eleventh World Orchid Conference).

  • Catling, P. M. in Orchid Biology: Reviews and Perspectives (ed J. Arditti) 121–158 (Timber Press, 1990).

  • Jacquemyn, H., Micheneau, C., Roberts, D. L. & Pailler, T. Elevational gradients of species diversity, breeding system and floral traits of orchid species on Réunion Island. J. Biogeogr. 32, 1751–1761. https://doi.org/10.1111/j.1365-2699.2005.01307.x (2005).

    Article 

    Google Scholar
     

  • Eckert, C. G. et al. Plant mating systems in a changing world. Trends Ecol. Evol. 25, 35–43. https://doi.org/10.1016/j.tree.2009.06.013 (2010).

    Article 
    PubMed 

    Google Scholar
     

  • Wright, S. I., Kalisz, S. & Slotte, T. Evolutionary consequences of self-fertilization in plants. Proc. Biol. Sci. 280, 20130133. https://doi.org/10.1098/rspb.2013.0133 (2013).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Cheptou, P. O. Does the evolution of self-fertilization rescue populations or increase the risk of extinction?. Ann. Bot. 123, 337–345. https://doi.org/10.1093/aob/mcy144 (2019).

    Article 
    PubMed 

    Google Scholar
     

  • Rempicci, M. & Buono, S. Autogamia accidentale in Ophrys sphegodes subsp sphegodes. J.l Europäischer Orchideen 52, 349–354 (2020).


    Google Scholar
     

  • Oikonomidis, S. et al. The effect of pollen origin (self- and cross-pollination) on seed production and viability in Ophrys (Orchidaceae). Bot. Lett. 171, 500–508. https://doi.org/10.1080/23818107.2024.2393360 (2024).

    Article 

    Google Scholar
     

  • Arditti, J. & Ghani, A. K. A. Tansley Review No. 110.: Numerical and physical properties of orchid seeds and their biological implications. New Phytol 145, 367–421. https://doi.org/10.1046/j.1469-8137.2000.00587.x (2000).

  • Molnár, V. A. Atlas of Hungarian orchids [in Hungarian] (Kossuth 2011).

  • Bateman, R. M. et al. Species arguments: clarifying competing concepts of species delimitation in the pseudo-copulatory orchid genus Ophrys. Bot. J. Linn. Soc. 165, 336–347. https://doi.org/10.1111/j.1095-8339.2011.01121.x (2011).

    Article 

    Google Scholar
     

  • Boss, I. & P. Caligari. Selection methods in plant. breeding. 2.ed. (Springer, Dordrecht, Netherlands, 2008)

  • Devey, D. S., Bateman, R. M., Fay, M. F. & Hawkins, J. A. Genetic structure and systematic relationships within the Ophrys fuciflora aggregate (Orchidaceae: Orchidinae): high diversity in Kent and a wind-induced discontinuity bisecting the Adriatic. Ann. Bot. 104, 483–495. https://doi.org/10.1093/aob/mcp039 (2009).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jersáková, J. & Malinová, T. Spatial aspects of seed dispersal and seedling recruitment in orchids. New Phytol. 176, 237–241. https://doi.org/10.1111/j.1469-8137.2007.02223.x (2007).

    Article 
    PubMed 

    Google Scholar
     

  • Vandepitte, K. et al. Recolonization after habitat restoration leads to decreased genetic variation in populations of a terrestrial orchid. Mol Ecol 21, 4206–4215. https://doi.org/10.1111/j.1365-294X.2012.05698.x (2012).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Soliva, M. & Widmer, A. Gene flow across species boundaries in sympatric, sexually deceptive Ophrys (Orchidaceae) species. Evolution 57, 2252–2261. https://doi.org/10.1111/j.0014-3820.2003.tb00237.x (2003).

    Article 
    PubMed 

    Google Scholar
     

  • Mant, J., Peakall, R. & Schiestl, F. Does selection on floral odor promote differentiation among populations and species of the sexually deceptive orchid genus Ophrys?. Evolution 59, 1449–1463. https://doi.org/10.1111/j.0014-3820.2005.tb01795.x (2005).

    Article 
    PubMed 

    Google Scholar
     

  • Celary, W. & Flaga, S. Pszczoły dziko żyjące (Hymenoptera: Apoidea: Apiformes) – klucz do rozpoznawania rodzin i rodzajów pszczół wraz z ich charakterystyką (BioDar, 2024).

  • Forrest, A. D., Hollingsworth, M. L., Hollingsworth, P. M., Sydes, C. & Bateman, R. M. Population genetic structure in European populations of Spiranthes romanzoffiana set in the context of other genetic studies on orchids. Heredity (Edinb.) 92, 218–227. https://doi.org/10.1038/sj.hdy.6800399 (2004).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Ziegenspeck, H. in Lebensgeschichte des Blütenpflanzen Mitteleuropas (eds O. Kirchner, W. Loew, & C. Schroeter) 1–840 ( Eugen Ulmer, 1936).

  • Anderson, J. & Song, B. H. Plant adaptation to climate change – Where are we?. J. Syst. Evol. 58, 533–545. https://doi.org/10.1111/jse.12649 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Telwala, Y., Brook, B. W., Manish, K. & Pandit, M. K. Climate-induced elevational range shifts and increase in plant species richness in a Himalayan biodiversity epicentre. PLoS ONE 8, e57103. https://doi.org/10.1371/journal.pone.0057103 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Wesselmann, M., Apostolaki, E. & Anton, A. Species range shifts, biological invasions and ocean warming. Mar. Ecol. Progress Ser. (2024).

  • Lenoir, J. & Svenning. J.-C. Climate-related range shifts – a global multidimensional synthesis and new research directions.Ecography, 38(1), 15–28. https://www.jstor.org/stable/ecography.38.1.15 (2015)

  • Rubenstein, M. A. et al. Climate change and the global redistribution of biodiversity: substantial variation in empirical support for expected range shifts. Environ. Evid. 12, 7. https://doi.org/10.1186/s13750-023-00296-0 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Sanczuk, P. et al. Unexpected westward range shifts in European forest plants link to nitrogen deposition. Science 386, 193–198. https://doi.org/10.1126/science.ado0878 (2024).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Charitonidou, M., Kougioumoutzis, K., Karypidou, M. C. & Halley, J. M. “Fly to a Safer North”: distributional shifts of the Orchid Ophrys insectifera L. due to climate change. Biol. Basel 11, 125. https://doi.org/10.3390/biology11040497 (2022).

    Article 

    Google Scholar
     

  • Bosso, L. et al. Integrating citizen science and spatial ecology to inform management and conservation of the Italian seahorses. Eco. Inform. 79, 102402. https://doi.org/10.1016/j.ecoinf.2023.102402 (2024).

    Article 

    Google Scholar
     

  • Bellis, J. et al. Identifying predictors of translocation success in rare plant species. Conserv. Biol. 38, e14190. https://doi.org/10.1111/cobi.14190 (2024).

    Article 
    PubMed 

    Google Scholar
     

  • Seaton, P. T. & Pritchard, H. W. Orchid seed stores for sustainable use: a model for future seed-banking activities. Lankesteriana 11, 349–353 (2011).


    Google Scholar
     

  • Reiter, N. et al. Orchid re-introductions: an evaluation of success and ecological considerations using key comparative studies from Australia. Plant Ecol. 217, 81–95. https://doi.org/10.1007/s11258-015-0561-x (2016).

    Article 

    Google Scholar
     

  • Zhao, D. K., Mou, Z. M. & Ruan, Y. L. Orchids acquire fungal carbon for seed germination: pathways and players. Trends Plant Sci 29, 733–741. https://doi.org/10.1016/j.tplants.2024.02.001 (2024).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Kolanowska, M. & Ruszkiewicz-Michalska, M. The long-term survival and climatic distribution of mixotrophic and mycoheterotrophic orchids. Acta Soc. Bot. Pol. 92, 1–16. https://doi.org/10.5586/asbp/175378 (2023).

    Article 

    Google Scholar
     

  • Bateman, R. M., Sramkó, G. & Paun, O. Integrating restriction site-associated DNA sequencing (RAD-seq) with morphological cladistic analysis clarifies evolutionary relationships among major species groups of bee orchids. Ann. Bot. 121, 85–105. https://doi.org/10.1093/aob/mcx129 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Liebel, H. et al. C ad N stable isotope signatures reveal constraints to nutritional modes in orchids from the mediterranean and macaronesia. Am. J. Bot. 97, 903–912. https://doi.org/10.3732/ajb.0900354 (2010).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Mennicken, S., Paula, C. C. P., Vogt-Schilb, H. & Jersáková, J. Diversity of mycorrhizal fungi in temperate orchid species: comparison of culture-dependent and culture-independent methods. J. Fungi Basel 10, 125 (2024).


    Google Scholar
     

  • Kolanowska, M. Loss of fungal symbionts and changes in pollinator availability caused by climate change will affect the distribution and survival chances of myco-heterotrophic orchid species. Sci. Rep. 13, 6848. https://doi.org/10.1038/s41598-023-33856-y (2023).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • QGIS Geographic Information System (QGIS Association, 2024).

  • ArcGIS Desktop Release 10.8.2 (nvironmental Systems Research Institute, Redlands, CA (2021).

  • Share.

    Comments are closed.