Maxwell, S. L., Fuller, R. A., Brooks, T. M. & Watson, J. E. M. Biodiversity: The ravages of guns, nets and bulldozers. Nature 536, 143–145 (2016).
Google Scholar
Ripple, W. J., Wolf, C., Newsome, T. M., Barnard, P. & Moomaw, W. R. World scientists’ warning of a climate emergency. Bioscience https://doi.org/10.1093/biosci/biz088 (2019).
Google Scholar
Seneviratne, S. I., Lüthi, D., Litschi, M. & Schär, C. Land–atmosphere coupling and climate change in Europe. Nature 443, 205–209 (2006).
Google Scholar
Liu, H. et al. Shifting plant species composition in response to climate change stabilizes grassland primary production. Proc. Natl. Acad. Sci. 115, 4051–4056 (2018).
Google Scholar
Schweiger, O., Settele, J., Kudrna, O., Klotz, S. & Kühn, I. Climate change can cause spatial mismatch of trophically interacting species. Ecology 89, 3472–3479 (2008).
Google Scholar
Parmesan, C. et al. Poleward shifts in geographical ranges of butterfly species associated with regional warming. Nature 399, 579–583 (1999).
Google Scholar
Dieker, P., Drees, C. & Assmann, T. Two high-mountain burnet moth species (Lepidoptera, Zygaenidae) react differently to the global change drivers climate and land-use. Biol. Conserv. 144, 2810–2818 (2011).
Google Scholar
Habel, J. C., Rödder, D., Schmitt, T. & Nève, G. Global warming will affect the genetic diversity and uniqueness of Lycaena helle populations. Glob. Change Biol. 17, 194–205 (2011).
Google Scholar
Grabherr, G., Gottfried, M. & Pauli, H. Climate change impacts in alpine environments. Geogr. Compass 4, 1133–1153 (2010).
Google Scholar
Alexander, J. M. et al. Lags in the response of mountain plant communities to climate change. Glob. Change Biol. 24, 563–579 (2018).
Renner, S. S. & Zohner, C. M. Climate change and phenological mismatch in trophic interactions among plants, insects, and vertebrates. Annu. Rev. Ecol. Evol. Syst. 49, 165–182 (2018).
Google Scholar
Fleishman, E. & Murphy, D. D. A realistic assessment of the indicator potential of butterflies and other charismatic taxonomic groups. Conserv. Biol. 23, 1109–1116 (2009).
Google Scholar
Sexton, J. P., Montiel, J., Shay, J. E., Stephens, M. R. & Slatyer, R. A. Evolution of ecological niche breadth. Annu. Rev. Ecol. Evol. Syst. 48, 183–206 (2017).
Google Scholar
Herrera, J. M., Ploquin, E. F., Rasmont, P. & Obeso, J. R. Climatic niche breadth determines the response of bumblebees (Bombus spp.) to climate warming in mountain areas of the Northern Iberian Peninsula. J. Insect Conserv. 22, 771–779 (2018).
Google Scholar
Habel, J. C. et al. Butterfly community shifts over two centuries. Conserv. Biol. 30, 754–762 (2016).
Google Scholar
Descombes, P., Pradervand, J. N., Golay, J., Guisan, A. & Pellissier, L. Simulated shifts in trophic niche breadth modulate range loss of alpine butterflies under climate change. Ecography 39, 796–804 (2016).
Google Scholar
Kerr, J. T. Racing against change: Understanding dispersal and persistence to improve species’ conservation prospects. Proc. R. Soc. B 287, 20202061 (2020).
Google Scholar
Dapporto, L., Cini, A., Voda, R., Dinca, V., Wiemers, M., Menchetti, M., Magini, G., Talavera, G., Shreeve, T., Bonelli, S., Casacci, L. P., Balletto, E., Scalercio, S. & Vila, R. Data from: Integrating three comprehensive datasets shows that mitochondrial DNA variation is linked to species traits and paleogeographic events in European butterflies. (Version 2, p. 4647103 bytes). Dryad (2019).
Wiemers, M. et al. An updated checklist of the European butterflies (Lepidoptera, Papilionoidea). ZooKeys 811, 9–45 (2018).
Google Scholar
Wiemers, M., Chazot, N., Wheat, C., Schweiger, O. & Wahlberg, N. A complete time-calibrated multi-gene phylogeny of the European butterflies. ZooKeys 938, 97–124 (2020).
Google Scholar
Middleton-Welling, J. et al. A new comprehensive trait database of European and Maghreb butterflies, Papilionoidea. Sci. Data 7, 351 (2020).
Google Scholar
Weckström, K. et al. Impacts of climate warming on alpine lake biota over the past decade. Arct. Antarct. Alp. Res. 48, 361–376 (2016).
Google Scholar
Steinbauer, K., Lamprecht, A., Winkler, M., Bardy-Curchhalter, M., Kreiner, D., Suen, M. & Pauli, H. Shifting composition and functioning in alpine plant communities—Evidence of climate warming effects from 14 years biodiversity observation in the Northeastern Alps. In Conference Vol. 621–622 (2017).
Bräu, M., Arbeitsgemeinschaft Bayerischer Entomologen & Bayerisches Landesamt für Umwelt (Eds.). Tagfalter in Bayern: 26 Tabellen. (Ulmer, 2013).
Weidemann, H.-J. Tagfalter Vol. 1 (Neumann-Neudamm, 1986).
Weidemann, H.-J. Tagfalter: Biologie-Ökologie-Biotopschutz Vol. 2 (Neumann-Neudamm, 1988).
Konvicka, M., Maradova, M., Benes, J., Fric, Z. & Kepka, P. Uphill shifts in distribution of butterflies in the Czech Republic: Effects of changing climate detected on a regional scale. Glob. Ecol. Biogeogr. 12, 403–410 (2003).
Google Scholar
Wilson, R. J., Gutiérrez, D., Gutiérrez, J. & Monserrat, V. J. An elevational shift in butterfly species richness and composition accompanying recent climate change. Glob. Change Biol. 13, 1873–1887 (2007).
Google Scholar
Wilson, R. J. et al. Changes to the elevational limits and extent of species ranges associated with climate change: Elevational shifts accompany climate change. Ecol. Lett. 8, 1138–1146 (2005).
Google Scholar
Forister, M. L. et al. Compounded effects of climate change and habitat alteration shift patterns of butterfly diversity. Proc. Natl. Acad. Sci. 107, 2088–2092 (2010).
Google Scholar
Warren, M. S. et al. Rapid responses of British butterflies to opposing forces of climate and habitat change. Nature 414, 65–69 (2001).
Google Scholar
Hill, J. K. et al. Responses of butterflies to twentieth century climate warming: Implications for future ranges. Proc. R. Soc. Lond. Ser. B Biol. Sci. 269, 2163–2171 (2002).
Google Scholar
Essens, T., van Langevelde, F., Vos, R. A., Van Swaay, C. A. M. & WallisDeVries, M. F. Ecological determinants of butterfly vulnerability across the European continent. J. Insect Conserv. 21, 439–450 (2017).
Google Scholar
van Swaay, C., Warren, M. & Loïs, G. Biotope use and trends of European butterflies. J. Insect Conserv. 10, 189–209 (2006).
Google Scholar
Pyke, G. H., Thomson, J. D., Inouye, D. W. & Miller, T. J. Effects of climate change on phenologies and distributions of bumble bees and the plants they visit. Ecosphere 7, e01267 (2016).
Google Scholar
Biella, P. et al. Distribution patterns of the cold adapted bumblebee Bombus alpinus in the Alps and hints of an uphill shift (Insecta: Hymenoptera: Apidae). J. Insect Conserv. 21, 357–366 (2017).
Google Scholar
Parolo, G. & Rossi, G. Upward migration of vascular plants following a climate warming trend in the Alps. Basic Appl. Ecol. 9, 100–107 (2008).
Google Scholar
Filazzola, A., Matter, S. F. & Roland, J. Inclusion of trophic interactions increases the vulnerability of an alpine butterfly species to climate change. Glob. Change Biol. 26, 2867–2877 (2020).
Google Scholar
Schweiger, O. et al. Multiple stressors on biotic interactions: How climate change and alien species interact to affect pollination. Biol. Rev. 85, 777–795 (2010).
Google Scholar
Inouye, B. D., Ehrlén, J. & Underwood, N. Phenology as a process rather than an event: From individual reaction norms to community metrics. Ecol. Monogr. 89, e01352 (2019).
Google Scholar
Birkhofer, K. et al. Land-use type and intensity differentially filter traits in above- and below-ground arthropod communities. J. Anim. Ecol. 86, 511–520 (2017).
Google Scholar
Dapporto, L. & Dennis, R. L. H. The generalist–specialist continuum: Testing predictions for distribution and trends in British butterflies. Biol. Conserv. 157, 229–236 (2013).
Google Scholar
Bartoňová, A., Benes, J. & Konvicka, M. Generalist–specialist continuum and life history traits of Central European butterflies (Lepidoptera)—Are we missing a part of the picture?. Eur. J. Entomol. 111, 543–553 (2014).
Google Scholar
Bartoňová, A. et al. Isolated Asian steppe element in the Balkans: Habitats of Proterebia afra (Lepidoptera: Nymphalidae: Satyrinae) and associated butterfly communities. J. Insect Conserv. 21, 559–571 (2017).
Google Scholar
Hodkinson, I. D. Terrestrial insects along elevation gradients: Species and community responses to altitude. Biol. Rev. 80, 489 (2005).
Google Scholar
Roth, T., Plattner, M. & Amrhein, V. Plants, birds and butterflies: Short-term responses of species communities to climate warming vary by taxon and with altitude. PLoS ONE 9, e82490 (2014).
Google Scholar
Biesmeijer, J. C. et al. Parallel declines in pollinators and insect-pollinated plants in Britain and the Netherlands. Science 313, 351–354 (2006).
Google Scholar
Filz, K. J., Engler, J. O., Stoffels, J., Weitzel, M. & Schmitt, T. Missing the target? A critical view on butterfly conservation efforts on calcareous grasslands in south-western Germany. Biodivers. Conserv. 22, 2223–2241 (2013).
Google Scholar
Hiebl, J. & Frei, C. Daily temperature grids for Austria since 1961—Concept, creation and applicability. Theor. Appl. Climatol. 124, 161–178 (2016).
Google Scholar
Hiebl, J. & Frei, C. Daily precipitation grids for Austria since 1961—Development and evaluation of a spatial dataset for hydroclimatic monitoring and modelling. Theor. Appl. Climatol. 132, 327–345 (2018).
Google Scholar
Bivand, R. & Yu, D. spgwr: Geographically Weighted Regression (R Package Version 0.6-34) [Computer Software]. https://CRAN.R-project.org/package=spgwr (2019).
Hijmans, R. J. raster: Geographic Data Analysis and Modeling (R Package Version 3.3-13) [Computer Software]. https://CRAN.R-project.org/package=raster (2019).
Hijmans, R. J., Phillips, S., Leathwick, J. & Elith, J. dismo: Species Distribution Modeling (R Package Version 1.1-4) [Computer Software]. https://CRAN.R-project.org/package=dismo (2017)
Höttinger, H. & Pennerstorfer, J. Rote Liste der Tagschmetterlinge Österreichs (Lepidoptera: Papilionoidea & Hesperioidea). In Rote Listen gefährdeter Tiere Österreichs. Checklisten, Gefährdungsanalysen, Handlungsbedarf. Teil 1: Säugetiere, Vögel, Heuschrecken, Wasserkäfer, Netzflügler, Schnabelfliegen, Tagfalter. Grüne Reihe des Bundesministeriums für Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft (Gesamtherausgeberin Ruth Wallner) Band 14/1 (ed. Zulka, K. P.) 313–354 (Böhlau, 2005).
Blonder, B. & Harris, D. J. hypervolume: High Dimensional Geometry and Set Operations Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls (R Package Version 2.0.12) [Computer Software]. https://CRAN.R-project.org/package=hypervolume (2019).
Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190, 231–259 (2006).
Google Scholar
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
Phillips, S. J., Dudík, M. & Schapire, R. E. Maxent Software for Modeling Species Niches and Distributions (Version 3.4.1) [Computer Software]. http://biodiversityinformatics.amnh.org/open_source/maxent/ (2017).
Swets, J. Measuring the accuracy of diagnostic systems. Science 240, 1285–1293 (1988).
Google Scholar
Weiss, M. & Banko, G. Ecosystem Type Map v3.1—Terrestrial and Marine Ecosystems. ETC/BD report to the EEA (2018).
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