Cardinale, B. et al. Biodiversity loss and its impact on humanity. Nature 486, 59–67 (2012).
Google Scholar
Kouba, A., Petrusek, A. & Kozák, P. Continental-wide distribution of crayfish species in Europe: Update and maps. Knowl. Manag. Aquat. Ecosyst. 413, 05. https://doi.org/10.1051/kmae/2014007 (2014).
Google Scholar
Chucholl, C. The bad and the super-bad: Prioritising the threat of six invasive alien to three imperilled native crayfishes. Biol. Invasions 18, 1967–1988 (2016).
Richman, N. I. et al. Multiple drivers of decline in the global status of freshwater crayfish (Decapoda: Astacidea). Phil. Trans. R. Soc. B. 370, 20140060. https://doi.org/10.1098/rstb.2014.0060 (2015).
Google Scholar
Jussila, J., Edsman, L., Maguire, I., Diéguez-Uribeondo, J. & Theissinger, K. Money kills native ecosystems: European crayfish as an example. Front. Ecol. Evol. (2021) (accepted).
Maguire, I. et al. Recent changes in distribution pattern of freshwater crayfish in Croatia—Threats and perspectives. Knowl. Manag. Aquatic Ecosyst. 409, 2. https://doi.org/10.1051/kmae/2017053 (2018).
Google Scholar
Schrimpf, A. et al. Phylogeography of noble crayfish (Astacus astacus) reveals multiple refugia. Freshw. Biol. 59, 761–776 (2014).
Google Scholar
Laggis, A. et al. Microevolution of the noble crayfish (Astacus astacus) in the Southern Balkan Peninsula. BMC Evol. Biol. 17, 122. https://doi.org/10.1186/s12862-017-0971-6 (2017).
Google Scholar
Gross, R. et al. Genetic diversity and structure of the noble crayfish populations in the Balkan Peninsula revealed by mitochondrial and microsatellite DNA markers. PeerJ 9, 11838. https://doi.org/10.7717/peerj.11838 (2021).
Google Scholar
Gross, R. et al. Microsatellite markers reveal clear geographic structuring among threatened noble crayfish (Astacus astacus) populations in Northern and Central Europe. Conserv. Genet. 14, 809–821 (2013).
Google Scholar
Schrimpf, A. et al. Genetic characterization of Western European noble crayfish populations (Astacus astacus) for advanced conservation management strategies. Conserv. Genet. 18, 1299–1315 (2017).
Google Scholar
Edsman, L., Füreder, L., Gherardi, F. & Souty-Grosset, C. Astacus astacus. in IUCN 2010, IUCN Red List of Threatened Species. http://www.iucnredlist.org (2010).
Gottstein, S. et al. Red List of Freshwater and Brackish Water Crustaceans of Croatia. (State Institute for Nature Protection, 2011).
Lowe, S., Browne, M., Boudjelas, S. & De Poorter, M. 100 of the World’s Worst Invasive Alien Species: A Selection from the Global Invasive Species Database. (The Invasive Species Specialist Group (ISSG) a specialist group of the Species Survival Commission (SSC) of the World Conservation Union (IUCN), 2000).
Dragičević, P., Faller, M., Kutleša, P. & Hudina, S. Update on the signal crayfish, Pacifastacus leniusculus (Dana, 1852) range expansion in Croatia: A 10-year report. BioInvasions Rec. 9, 793–807 (2020).
Dobrović, A., Maguire, I., Boban, M., Grbin, D. & Hudina, S. Reproduction dynamics of the marbled crayfish Procambarus virginalis Lyko, 2017 from an anthropogenic lake in northern Croatia. Aquat. Invasions 16, 482–498 (2021).
Lovrenčić, L. et al. New insights into the genetic diversity of the stone crayfish: Taxonomic and conservation implications. BMC Evol. Biol. 20, 146. https://doi.org/10.1186/s12862-020-01709-1 (2020).
Google Scholar
Eizaguirre, C. & Baltazar-Soares, M. Evolutionary conservation—Evaluating the adaptive potential of species. Evol. Appl. 7, 963–967 (2014).
Google Scholar
Ricciardi, A. & Simberloff, D. Assisted colonization is not a viable conservation strategy. Trends Ecol. Evol. 24, 248–253 (2009).
Google Scholar
Hewitt, N. et al. Taking stock of the assisted migration debate. Biol. Conserv. 144, 2560–2572 (2011).
Butt, N. et al. Importance of species translocations under rapid climate change. Biol. Conserv. 35, 775–783 (2021).
Abdul-Muneer, P. M. Application of microsatellite markers in conservation genetics and fisheries management: Recent advances in population structure analysis and conservation strategies. Genet. Res. Int. https://doi.org/10.1155/2014/691759 (2014).
Google Scholar
Bláha, M., Žurovcová, M., Kouba, A., Policar, T. & Kozák, P. Founder event and its effect on genetic variation in translocated populations of noble crayfish (Astacus astacus). J. Appl. Genet. 57, 99–106 (2016).
Google Scholar
Panicz, R. et al. Genetic diversity in natural populations of noble crayfish (Astacus astacus L.) in north-western Poland on the basis of combined SSR and AFLP data. PeerJ 7, 7301. https://doi.org/10.7717/peerj.7301 (2019).
Google Scholar
Guisan, A. et al. Predicting species distributions for conservation decisions. Ecol. Lett. 16, 1424–1435 (2013).
Google Scholar
Markovic, D. et al. Europe’s freshwater biodiversity under climate change: Distribution shifts and conservation needs. Divers. Distrib. 20, 1097–1107 (2014).
Jiménez-Valverde, A. et al. Use of niche models in invasive species risk assessments. Biol. Invasions 13, 2785–2797 (2011).
Guisan, A., Petitpierre, B., Broennimann, O., Daehler, C. & Kueffer, C. Unifying niche shift studies: Insights from biological invasions. Trends Ecol. Evol. 29, 260–269 (2014).
Google Scholar
Chucholl, C. Niche-based species distribution models and conservation planning for endangered freshwater crayfish in south-western Germany. Aquat. Conserv. 27, 698–705 (2017).
Préau, C. et al. Niche modelling to guide conservation actions in France for the endangered crayfish Austropotamobius pallipes in relation to the invasive Pacifastacus leniusculus. Freshw. Biol. 65, 304–315 (2020).
Parmesan, C. Ecological and evolutionary responses to recent climate change. Annu. Rev. Ecol. Evol. Syst. 37, 637–669 (2006).
Pecl, G. T. et al. Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being. Science 355, eaai9214. https://doi.org/10.1126/science.aai9214 (2017).
Google Scholar
Kouba, A. et al. The significance of droughts for hyporheic dwellers: Evidence from freshwater crayfish. Sci. Rep. 6, 1–7 (2016).
Capinha, C., Larson, E. R., Tricarico, E., Olden, J. D. & Gherardi, F. Effects of climate change, invasive species, and disease on the distribution of native European crayfishes. Conserv. Biol. 27, 731–740 (2013).
Google Scholar
Chapuis, M. P. & Estoup, A. Microsatellite null alleles and estimation of population differentiation. Mol. Biol. Evol. 24, 621–631 (2007).
Google Scholar
Hanley, J. A. & McNeil, B. J. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143, 29–36 (1982).
Google Scholar
Araújo, M. B., Pearson, R. G., Thuiller, W. & Erhard, M. Validation of species–Climate impact models under climate change. Glob. Chang. Biol. 11, 1504–1513 (2005).
Google Scholar
Swets, J. A. Measuring the accuracy of diagnostic systems. Science 240, 1285–1293 (1988).
Google Scholar
Maguire, I. et al. Two distinct evolutionary lineages of the Astacus leptodactylus species-complex (Decapoda: Astacidae) inferred by phylogenetic analyses. Invertebr. Syst. 28, 117–123 (2014).
Akhan, S., Bektas, Y., Berber, S. & Kalayci, G. Population structure and genetic analysis of narrow-clawed crayfish (Astacus leptodactylus) populations in Turkey. Genetica 142, 381–395 (2014).
Google Scholar
Jelić, M. et al. Insights into the molecular phylogeny and historical biogeography of the white-clawed crayfish (Decapoda, Astacidae). Mol. Phylogenet. Evol. 103, 26–40 (2016).
Google Scholar
Bláha, M. et al. Genetic diversity, phylogenetic position and morphometric analysis of Astacus colchicus (Decapoda, Astacidae): A new insight into Eastern European crayfish fauna. Integr. Zool. 16, 368–378 (2021).
Google Scholar
Hewitt, G. M. Genetic consequences of climatic oscillations in the Quaternary. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 359, 183–195 (2004).
Google Scholar
Maguire, I., Špoljarić, I. & Klobučar, G. The indigenous crayfish of Plitvice Lakes National Park, Croatia. Freshw. Crayfish 19, 91–96 (2013).
Njegovan, V., Orešković, M., Hudina, S. & Maguire, I. Crayfish fauna of the Maksimir lakes in the urban area of Zagreb. Freshw. Crayfish 23, 1–11 (2017).
Allendorf, F. W. & Luikart, G. Conservation and the Genetics of Populations (Blackwell Publishing, 2007).
Frankham, R. Stress and adaptation in conservation genetics. J. Evol. Biol. 18, 750–755 (2005).
Google Scholar
Karaman, S. Die Potamobiiden Jugoslaviens. Glas. Zemalj. Muz. Bosne Herceg. 41, 147–150 (1929).
Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A. B. & Kent, J. Biodiversity hotspots for conservation priorities. Nature 403, 853–858 (2000).
Google Scholar
Tierno de Figueroa, J. M. et al. Freshwater biodiversity in the rivers of the Mediterranean Basin. Hydrobiologia 719, 137–186 (2013).
Barnett, Z. C., Adams, S. B., Ochs, C. A. & Garrick, R. C. Crayfish populations genetically fragmented in streams impounded for 36–104 years. Freshw. Biol. 65, 768–785 (2020).
Hossain, M. A. et al. Assessing the vulnerability of freshwater crayfish to climate change. Divers. Distrib. 24, 1830–1843 (2018).
Piyapong, C., Tattoni, C., Ciolli, M., Dembski, S. & Paradis, E. Modelling the geographical distributions of one native and two introduced species of crayfish in the French Alps. Ecol. Inform. 60, 101172. https://doi.org/10.1016/j.ecoinf.2020.101172 (2020).
Google Scholar
Gallardo, B. & Aldridge, D. C. Evaluating the combined threat of climate change and biological invasions on endangered species. Biol. Conserv. 160, 225–233 (2013).
Peterson, K. & Bode, M. Using ensemble modeling to predict the impacts of assisted migration on recipient ecosystems. Conserv. Biol. 35, 678–687 (2021).
Google Scholar
Rodríguez-Rey, M., Consuegra, S., Börger, L. & Garcia de Leaniz, C. Improving species distribution modelling of freshwater invasive species for management applications. PLoS ONE 14, 0217896. https://doi.org/10.1371/journal.pone.0217896 (2019).
Google Scholar
Elith, J., Kearney, M. & Phillips, S. The art of modelling range-shifting species. Methods Ecol. Evol. 1, 330–342 (2010).
Zhang, Z. et al. Impacts of climate change on the global potential distribution of two notorious invasive crayfishes. Freshw. Biol. 65, 353–365 (2020).
Olden, J. D., Kennard, M. J., Lawler, J. J. & Poff, N. L. Challenges and opportunities in implementing managed relocation for conservation of freshwater species. Conserv. Biol. 25, 40–47 (2011).
Google Scholar
Weeks, A. R. et al. Assessing the benefits and risks of translocations in changing environments: A genetic perspective. Evol. Appl. 4, 709–725 (2011).
Google Scholar
Aitken, S. N. & Whitlock, M. C. Assisted gene flow to facilitate local adaptation to climate change. Annu. Rev. Ecol. Evol. Syst. 44, 367–388 (2013).
Frankham, R. et al. Genetic Management of Fragmented Animal and Plant Populations. Oxford University Press, 2017).
Schiffers, K., Bourne, E. C., Lavergne, S., Thuiller, W. & Travis, J. M. Limited evolutionary rescue of locally adapted populations facing climate change. Philos. Trans. R. Soc. B. 368, 20120083. https://doi.org/10.1098/rstb.2012.0083 (2013).
Google Scholar
Bucharova, A. Assisted migration within species range ignores biotic interactions and lacks evidence. Restor. Ecol. 25, 14–18 (2017).
Ghia, D. et al. Modelling environmental niche for the endangered crayfish Austropotamobius pallipes complex in northern and central Italy. Freshw. Crayfish 19, 189–195 (2013).
Simon, C. et al. Evolution, weighting, and phylogenetic utility of mitochondrial gene sequences and a compilation of conserved polymerase chain reaction primers. Ann. Entomol. Soc. Am. 87, 651–701 (1994).
Google Scholar
Folmer, O., Black, M., Hoeh, W., Lutz, R. & Vrijenhoek, R. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol. Mar. Biol. Biotechnol. 3, 294–299 (1994).
Google Scholar
Mrugała, A., Šanda, R., Shumka, S. & Vukić, J. Filling the blank spot: First report on the freshwater crayfish distribution in Albania. Knowl. Manag. Aquat. Ecosyst. 418, 34. https://doi.org/10.1051/kmae/2017024 (2017).
Google Scholar
Hall, T. A. 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
Villesen, P. FaBox: An online toolbox for fasta sequences. Mol. Ecol. Notes 7, 965–968 (2007).
Google Scholar
Bandelt, H. J., Forster, P. & Röhl, A. Median-joining networks for inferring intraspecific phylogenies. Mol. Biol. Evol. 16, 37–48 (1999).
Google Scholar
Leigh, J. W. & Bryant, D. POPART: Full-feature software for haplotype network construction. Methods Ecol. Evol. 6, 1110–1116 (2015).
Posada, D. & Crandall, K. A. Intraspecific gene genealogies: Trees grafting into networks. Trends Ecol. Evol. 16, 37–45 (2001).
Google Scholar
Gross, R., Kõiv, K., Pukk, L. & Kaldre, K. Development and characterization of novel tetranucleotide microsatellite markers in the noble crayfish (Astacus astacus) suitable for highly multiplexing and for detecting hybrids between the noble crayfish and narrow-clawed crayfish (A. leptodactylus). Aquaculture 472, 50–56 (2017).
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 (2004).
Rousset, F. genepop’007: A complete reimplementation of the GENEPOP software for Windows and Linux. Mol. Ecol. Resour. 8, 103–106 (2008).
Google Scholar
Dempster, A. P., Laird, N. M. & Rubin, D. B. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Series. B. Stat. Methodol. 39, 1–38 (1977).
Google Scholar
Peakall, R. & Smouse, P. E. GenAlEx 6.5: Genetic analysis in Excel. Population genetic soft-ware for teaching and research—An update. Bioinformatics 28, 2537–2539 (2012).
Google Scholar
Goudet, J. FSTAT version 2. 9. 4: A program to estimate and test population genetics parameters. Updated from Goudet [1995]. http://www.unil.ch/izea/softwares/fstat.html (2003).
Kalinowski, S. T. hp‐rare 1.0: A computer program for performing rarefaction on measures of allelic richness. Mol. Ecol. Notes 5, 187–189 (2005).
Piry, S., Luikart, G. & Cornuet, J.-M. BOTTLENECK: A computer program for detecting recent reductions in the effective population size using allele frequency data. J. Hered. 90, 502–503 (1999).
Pritchard, J. K., Stephens, M. & Donnelly, P. Inference of population structure using multilocus genotype data. Genetics 155, 945–959 (2000).
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 (2005).
Google Scholar
Earl, D. A. & Von Holdt, B. M. STRUCTURE HARVESTER: A website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv. Genet. Resour. 4, 359–361 (2012).
Kopelman, N. M., Mayzel, J., Jakobsson, M., Rosenberg, N. A. & Mayrose, I. Clumpak: A program for identifying clustering modes and packaging population structure inferences across K. Mol. Ecol. Resour. 15, 1179–1191 (2015).
Google Scholar
Excoffier, L. & Lischer, H. E. L. 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 (2010).
Google Scholar
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G. & Jarvis, A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25, 1965–1978 (2005).
Naimi, B., Hamm, N. A., Groen, T. A., Skidmore, A. K. & Toxopeus, A. G. Where is positional uncertainty a problem for species distribution modelling?. Ecography 37, 191–203 (2014).
Thuiller, W., Lafourcade, B., Engler, R. & Araújo, M. B. BIOMOD—A platform for ensemble forecasting of species distributions. Ecography 32, 369–373 (2009).
Thuiller, W., Georges, D., Engler, R. & Breiner, F. ‘biomod2’: Ensemble Platform for Species Distribution Modeling. (2016).
Guisan, A., Thuiller, W. & Zimmermann, N. E. Habitat Suitability and Distribution Models: With Applications in R. (Cambridge University Press, 2017).
McSweeney, C. F., Jones, R. G., Lee, R. W. & Rowell, D. P. Selecting CMIP5 GCMs for downscaling over multiple regions. Clim. Dyn. 44, 3237–3260 (2015).
Cvitanović, M., Blackburn, G. A. & Jepsen, M. R. Characteristics and drivers of forest cover change in the post-socialist era in Croatia: Evidence from a mixed-methods approach. Reg. Environ. Change 16, 1751–1763 (2016).
Thuiller, W., Guéguen, M., Renaud, J., Karger, D. N. & Zimmermann, N. E. Uncertainty in ensembles of global biodiversity scenarios. Nat. Commun. 10, 1446. https://doi.org/10.1038/s41467-019-09519-w (2019).
Google Scholar
Liu, C., White, M. & Newell, G. Selecting thresholds for the prediction of species occurrence with presence only data. J. Biogeogr. 40, 778–789 (2013).
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