Abstract
Cosmosoma maishei (Laguerre, Antenor 1:153–172, 2014) is an Arctiini moth restricted to high elevations in the mountain Mesoamerican biodiversity hotspots. A narrow distribution and high ecological specialization make this moth susceptible to climate change effects. To our knowledge, no reports have described its potential distribution and genetic diversity, which are essential to understand its potential ability to cope with immediate and long-term impacts of climate change in threatened cloud forests of Chiapas, Mexico. Our aims were: (1) to evaluate suitable climate space for C. maishei in current and future climate change scenarios (conservative [RCP 2.6] and liberal [RCP 8.5]) across its distributional range in Chiapas; (2) to determine the genetic diversity/structure of C. maishei in cloud forests of El Triunfo Biosphere Reserve (ETBR; the largest most northern track of mountain cloud forest in Mesoamerica); and (3) to link genetic data with climate change projections for discussing conservation scenarios of C. maishei in mountain habitats of Chiapas. C. maishei covers a limited geographic range, roughly 21% of Chiapas's total area (15,826 km2). We estimated a loss of climatic suitability of > 70% and significant uphill shifts in elevation ranging from 462 to 639 m under future conservative and liberal climate scenarios in Chiapas and ETBR, respectively. ISSR analysis revealed low genetic diversity between sampled C. maishei populations (He = 0.21 and He = 0.26) and a relatively low gene flow (Nm = 2.2), indicating potential local population extinction events if current trends in regional climate change persist.
Implications for conservation
Existing threats to moth population persistence support the urgent need to implement ex-situ/in-situ conservation measures, including bolstering current moth populations and the protection of suitable moth climatic habitat from cloud forests in part of its distributional range in the Mesoamerican biodiversity hotspot.
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References
Alleaume-Benharira M, Pen IR, Ronce O (2006) Geographical patterns of adaptation within a species’ range: Interactions between drift and gene flow. J Evol Biol 19:203–215
Amilo R, Ngel M, Arrera P, Artínez Y (2012) Listado de plantas endémicas y en riesgo DE La Reserva De La Biosfera El Triunfo, Chiapas, México. Bot Sci 90:263–285
Amos W (1998) Factors affecting levels of genetic diversity innatural populations. Philos Trans-R Soc B Biol Sci 353:177–186. https://doi.org/10.1098/rstb.1998.0200
Ashraf U, Peterson AT, Chaudhry MN et al (2017) Ecological niche model comparison under different climate scenarios: a case study of Olea spp. in Asia. Ecosphere 8:1–13
Battisti A, Marini L, Pitacco A, Larsson S (2013) Solar radiation directly affects larval performance of a forest insect. Ecol Entomol 38:553–559. https://doi.org/10.1111/een.12047
Benítez-Benítez C, Sanz-Arnal M, Urbani M et al (2022) Dramatic impact of future climate change on the genetic diversity and distribution of ecologically relevant Western Mediterranean Carex (Cyperaceae). PeerJ 10:1–30. https://doi.org/10.7717/peerj.13464
Besold J, Schmitt T, Tammaru T, Cassel-Lundhagen A (2008) Strong genetic impoverishment from the centre of distribution in southern Europe to peripheral Baltic and isolated Scandinavian populations of the pearly heath butterfly. J Biogeogr 35:2090–2101. https://doi.org/10.1111/j.1365-2699.2008.01939.x
Bhadkaria A, Gupta N, Narvekar DT et al (2020) ISSR-PCR approach as a means of studying genetic variation in moth bean (Vigna aconitifolia (Jacq.) Maréchal). Biocatal Agric Biotechnol 30:101827
Bibby C, Collar NJ, Crosby MJ et al (1993) Putting biodiversity on the map: priority areas for global conservation. Cambridge, UK, pp 90
Boria RA, Olson LE, Goodman SM, Anderson RP (2014) Spatial filtering to reduce sampling bias can improve the performance of ecological niche models. Ecol Modell 275:73–77
Braatz E, Sincage J, Gezon ZJ et al (2021) A modified diet to support conservation of the Atala hairstreak butterfly (Eumaeus atala Poey). Zoo Biol 40:429–435. https://doi.org/10.1002/zoo.21628
Bridle JR, Vines TH (2007) Limits to evolution at range margins: when and why does adaptation fail? Trends Ecol Evol 22:140–147. https://doi.org/10.1016/j.tree.2006.11.002
Brown JL (2014) 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
Cavanzón-Medrano LE, Machkour-M’Rabet S, Chablé-Iuit LR et al (2018) Effect of climatic conditions and land cover on genetic structure and diversity of Eunica tatila (Lepidoptera) in the Yucatan Peninsula, Mexico. Diversity 10:1–18. https://doi.org/10.3390/d10030079
Cayuela L, Golicher DJ, Rey-Benayas JM (2006) The extent, distribution, and fragmentation of vanishing montane cloud forest in the Highlands of Chiapas, Mexico. Biotropica 38:544–554. https://doi.org/10.1111/j.1744-7429.2006.00160.x
Chen F, Shi J, Qing LY et al (2013) Genetic characterization of the gypsy moth from China (Lepidoptera, Lymantriidae) using inter simple sequence repeats markers. PLoS One 8:1–7
Chen C, Shiu H, Benedick S et al (2016) Elevation increases in moth assemblages over 42 years on a tropical mountain. Proc Natl Acad Sci USA 106:1479–1483. https://doi.org/10.1073/pnas.0809320106
Choi S-W (2008) Effects of weather factors on the abundance and diversity of moths in a temperate deciduous mixed forest of Korea. Zoolog Sci 25:53–58. https://doi.org/10.2108/zsj.25.53
Colwell RK (2008) Global warming, elevational range shifts, and lowland biotic attrition in the wet tropics. Science 322:1–6. https://doi.org/10.1126/science.1162547
CONANP (2010) Reserva de la Biosfera El Triunfo. In: Estimación y Actualización al 2009 de la Tasa de Transformación del Hábitat de las Áreas Naturales Protegidas. SEMARNAT. Mexico, DF, pp 50.
CONANP (2019) Resiliencia: Áreas Naturales Protegidas- Soluciones naturales a retos globales. SEMARNAT. Mexico, DF, pp 157.
Conrad KF, Warren MS, Fox R et al (2006) Rapid declines of common, widespread British moths provide evidence of an insect biodiversity crisis. Biol Conserv 132:279–291
Crawford LA, Desjardins S, Keyghobadi N (2011) Fine-scale genetic structure of an endangered population of the Mormon metalmark butterfly (Apodemia mormo) revealed using AFLPs. Conserv Genet 12:991–1001. https://doi.org/10.1007/s10592-011-0202-4
Daco L, Matthies D, Hermant S, Colling G (2022) Genetic diversity and differentiation of populations of Anthyllis vulneraria along elevational and latitudinal gradients. Ecol Evol 12:1–14
Daniels JC, Nordmeyer C, Runquist E (2018) Improving standards for at-risk butterfly translocations. Diversity 10:1–13. https://doi.org/10.3390/d10030067
De Groot M, Rebeušek F, Grobelnik V et al (2009) Distribution modelling as an approach to the conservation of a threatened alpine endemic butterfly (Lepidoptera: Satyridae). Eur J Entomol 106:77–84
Dieker P, Drees C, Schmitt T, Assmann T (2013) Low genetic diversity of a high mountain burnet moth species in the Pyrenees. Conserv Genet 14:231–236. https://doi.org/10.1007/s10592-012-0424-0
Diniz-Filho JAF, Rodrigues H, Telles MPDC et al (2015) Correlation between genetic diversity and environmental suitability: taking uncertainty from ecological niche models into account. Mol Ecol Resour 15:1059–1066. https://doi.org/10.1111/1755-0998.12374
Dixon W, Mood A (1946) The statistical sign test. J Am Stat Assoc 41:557–566
Douglas J (2020) A molecular phylogenetic assessment of the North American lichen tiger moths (Lepidoptera; Erebidae; Arctiinae; Lithosiini) with life history observations and a description of a new species from Central Arizona Phd thesis. University of Arizona, Arizona, p 96
Dullinger S, Gattringer A, Thuiller W et al (2012) Extinction debt of high-mountain plants under twenty-first-century climate change. Nat Clim Chang 2:619–622. https://doi.org/10.1038/nclimate1514
Duncan SI, Crespi EJ, Mattheus NM, Rissler LJ (2015) History matters more when explaining genetic diversity within the context of the core-periphery hypothesis. Mol Ecol 24:4323–4336
Earl DA, Bridgett M (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conserv Genet Res 4:359–361
Eckert CG, Samis KE, Lougheed SC (2008) Genetic variation across species’ geographical ranges: the central-marginal hypothesis and beyond. Mol Ecol 17:1170–1188
Ehrich D, Gaudeul M, Assefa A et al (2007) Genetic consequences of Pleistocene range shifts: contrast between the Arctic, the Alps and the East African mountains. Mol Ecol 16:2542–2559
Elith J, Graham C, Anderson RP et al (2006) Novel methods improve prediction of species’ distributions from occurrence data. Eur J Biochem 166:173–180. https://doi.org/10.1111/j.1432-1033.1987.tb13499.x
Escobar S, Helmstetter AJ, Jarvie S et al (2021) Pleistocene climatic fluctuations promoted alternative evolutionary histories in Phytelephas aequatorialis, an endemic palm from western Ecuador. J Biogeogr 48:1023–1037. https://doi.org/10.1111/jbi.14055
Falcón-Brindis A, León-Cortés JL, Montañez-Reyna M (2021) How effective are conservation areas to preserve biodiversity in Mexico? Perspect Ecol Conserv 19:399–410
Ferro VG, Melo AS (2011) Diversity of tiger moths in a Neotropical hotspot: determinants of species composition and identification of biogeographic units. J Insect Conserv 15:643–651
Ferro VG, Romanowski HP (2012) Diversity and composition of tiger moths (Lepidoptera: Arctiidae) in an area of Atlantic Forest in southern Brazil: is the fauna more diverse in the grassland or in the forest? Zoologia 29:7–18. https://doi.org/10.1590/S1984-46702012000100002
Fourcade Y, DeVries MF, Kuussaari M et al (2021) Habitat amount and distribution modify community dynamics under climate change. Ecol Lett 24:950–957. https://doi.org/10.1111/ele.13691
Franco A, Hill J, Kitachke C et al (2006) Impacts of climate warming and habitat loss on extinctions at species’ low-latitude range boundaries. Glob Chang Biol 12:1545–1553
Frankham R (2005) Stress and adaptation in conservation genetics. J Evol Biol 18:750–755
Frankham R, Ballou JD, Briscoe DA (2002) Introducción a la Genética de la Conservación. Prensa de la Universidad de Cambridge, Cambridge
Gapare WJ, Aitken SN (2005) Strong spatial genetic structure in peripheral but not core populations of Sitka spruce [Picea sitchensis (Bong.) Carr.]. Mol Ecol 14:2659–2667
Garcia-Ramos G, Kirkpatrick M (1997) Genetic models of adaptation and gene flow in peripheral populations. Evolution 51:21. https://doi.org/10.2307/2410956
González-Espinosa M, Meave J, Ramírez-Marcial N et al (2012) Los bosques de niebla de México: conservación y restauración de su componente arbóreo. Ecosistemas 21:36–52
Gradish AE, Keyghobadi N, Otis GW (2015) Population genetic structure and genetic diversity of the threatened White Mountain arctic butterfly (Oeneis melissa semidea). Conserv Genet 16:1253–1264
Graham RW, Lundelius EL, Graham MA et al (1996) Spatial response of mammals to late quaternary environmental fluctuations. Science 272:1601–1606. https://doi.org/10.1126/science.272.5268.1601
Guan B, Gao J, Chen W et al (2021) The effects of climate change on landscape connectivity and genetic clusters in a small subtropical and warm-temperate tree. Front Plant Sci 12:1–13
Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat models. Ecol Lett 8:993–1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x
Gupta N (2019) DNA extraction and polymerase chain reaction. J Cytol 36:116–117. https://doi.org/10.4103/JOC.JOC_110_18
Habel JC, Assmann T (2010) Relict species: phylogeography and conservation biology. Reli Species Phylogeography Conserv Biol. https://doi.org/10.1007/978-3-540-92160-8
Hardie DC, Hutchings JA (2010) Evolutionary ecology at the extremes of species’ ranges. Environ Rev 18:1–20. https://doi.org/10.1139/A09-014
Hijmans RJ, Cameron SE, Parra JL et al (2005) Very high-resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978. https://doi.org/10.1002/joc.1276
Hill JK, Hughes CL, Dytham C, Searle JB (2006) Genetic diversity in butterflies: interactive effects of habitat fragmentation and climate-driven range expansion. Biol Lett 2:152–154
Hill GM, Kawahara AY, Daniels JC et al (2021) Climate change effects on animal ecology: butterflies and moths as a case study. Biol Rev 96:2113–2126. https://doi.org/10.1111/brv.12746
Hilt N, Fiedler K (2005) Diversity and composition of Arctiidae moth ensembles along a successional gradient in the Ecuadorian Andes. Divers Distrib 11:387–398. https://doi.org/10.1111/j.1366-9516.2005.00167.x
Hunter MD, Kozlov MV, Itämies J et al (2014) Current temporal trends in moth abundance are counter to predicted effects of climate change in an assemblage of subarctic forest moths. Glob Chang Biol 20:1723–1737. https://doi.org/10.1111/gcb.12529
INE (Instituto Nacional de Ecología) (1998) Programa de Manejo de la Reserva de la Biosfera El Triunfo. https://drive.google.com/file/d/0B4QXYW6LByLUR2Q4QTg3SW9IdnM/view?resourcekey=0-8WfYp6v5F2E6tfDANog_2w. Accessed 26 Nov 2022
IPCC (2007) Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller. In: Cambridge University Press. p 996
Jasso-Martínez JM, Machkour-M’Rabet S, Vila R et al (2018) Molecular evidence of hybridization in sympatric populations of the Enantia jethys complex (Lepidoptera: Pieridae). Plos one 13:1–23
Jin PY, Sun JT, Chen L et al (2020) Geography alone cannot explain Tetranychus truncatus (Acari: Tetranychidae) population abundance and genetic diversity in the context of the center–periphery hypothesis. Heredity 124:383–396
Kocsis M, Hufnagel L (2011) Impacts of climate change on lepidoptera species and communities. Appl Ecol Environ Res 9:43–72. https://doi.org/10.1038/s41437-019-0280-5
Kodandaramaiah U, Konvicka M, Tammaru T et al (2012) Phylogeography of the threatened butterfly, the woodland brown Lopinga achine (Nymphalidae: Satyrinae): implications for conservation. J Insect Conserv 16:305–313
Kramer K, Degen B, Buschbom J et al (2010) Modelling exploration of the future of European beech (Fagus sylvatica L.) under climate change-Range, abundance, genetic diversity and adaptive response. For Ecol Manage 259:2213–2222. https://doi.org/10.1007/s10841-012-9465-4
Kroschel J, Sporleder M, Tonnang HEZ et al (2013) Predicting climate-change-caused changes in global temperature on potato tuber moth Phthorimaea operculella (Zeller) distribution and abundance using phenology modeling and GIS mapping. Agric for Meteorol 170:228–241
Kubisch A, Poethke HJ, Hovestadt T (2011) Density-dependent dispersal and the formation of range borders. Ecography (cop) 34:1002–1008. https://doi.org/10.1111/j.1600-0587.2010.06744.x
Lafontaine JD, Schmidt BC (2010) Annotated check list of the Noctuoidea (Insecta, Lepidoptera) of North America north of Mexico. Zookeys 40:1–239. https://doi.org/10.3897/zookeys.40.414
Laguerre M (2010) Description of two new Homoeocera Felder from Guatemala and Mexico (Lepidoptera, Arctiidae, Arctiinae, Euchromiini). Zookeys 33:29–38. https://doi.org/10.3897/zookeys.33.275
Laguerre M (2014) Partial revision of the genus Homoeocera Felder, 1874, and description of three new species (Lepidoptera Erebidae Arctiinae Ctenuchini). Antenor 1:153–172
Lamarre GPA, Pardikes NA, Segar S et al (2022) More winners than losers over 12 years of monitoring tiger moths (Erebidae: Arctiinae) on Barro Colorado Island, Panama. Biol Lett 18:1–7. https://doi.org/10.1098/rsbl.2021.0519
Laurance WF, Useche DC, Shoo LP et al (2011) Global warming, elevational ranges and the vulnerability of tropical biota. Biol Conserv 144:548–557. https://doi.org/10.1016/j.biocon.2010.10.010
Leimu R, Mutikainen P, Koricheva J, Fischer M (2006) How general are positive relationships between plant population size, fitness and genetic variation? J Ecol 94:942–952
Levy E, Byrne M, Coates DJ et al (2016) Contrasting influences of geographic range and distribution of populations on patterns of genetic diversity in two sympatric Pilbara acacias. PLoS one 11:1–18
Li S, Gan X, Han H et al (2018) Low within-population genetic diversity and high genetic differentiation among populations of the endangered plant Tetracentron sinense Oliver revealed by inter-simple sequence repeat análisis. Ann for Sci 75:1–11. https://doi.org/10.1007/s13595-018-0752-4
Long A, Heath M (1991) Flora of the El Triunfo Biosphere Reserve, Chiapas, Mexico: A Preliminar Floristic Inventory and the Plant Communities of Polygon I Anales Inst. Biol. Univ. Nac. Autón. México, Bot 62: 133-172
López-Delgado J, Meirmans PG (2022) History or demography? determining the drivers of genetic variation in North American plants. Mol Ecol 31:1951–1962. https://doi.org/10.1111/mec.16230
Lovrenčić L, Temunović M, Gross R et al (2022) Integrating population genetics and species distribution modelling to guide conservation of the noble crayfish, Astacus astacus, in Croatia. Sci Rep. https://doi.org/10.1038/s41598-022-06027-
Luque C, Legal L, Staudter H et al (2002) ISSR (inter simple sequence repeats) as genetic markers in Noctuids (Lepidoptera). Hereditas 136:251–253. https://doi.org/10.1034/j.1601-5223.2002.1360312.x
Lynch M, Milligan BG (1994) Analysis of population genetic structure with RAPD markers. Mol Ecol 3:91–99. https://doi.org/10.1111/j.1365-294X.1994.tb00109.x
Machkour-M’Rabet S, Leberger R, León-Cortés JL et al (2014) Population structure and genetic diversity of the only extant Baroninae swallowtail butterfly, Baronia brevicornis, revealed by ISSR markers. J Insect Conserv 18:385–396. https://doi.org/10.1007/s10841-014-9647-3
Maicher V, Sáfián S, Murkwe M et al (2020) Seasonal shifts of biodiversity patterns and species’ elevation ranges of butterflies and moths along a complete rainforest elevational gradient on Mount Cameroon. J Biogeogr 47:342–354. https://doi.org/10.1111/jbi.13740
Marwal A, Sahu AK, Gaur RK (2014) Chapter 16-Molecular Markers: Tool for Genetic Analysis. In: Verma AS, Singh A (eds) Animal Biotechnology, 1st edn. Elsevier, The Netherlands, pp 289–305
Mendoza-Ponce A, Corona-Núñez RO, Galicia L, Kraxner F (2019) Identifying hotspots of land use cover change under socioeconomic and climate change scenarios in Mexico. Ambio 48:336–349
Metcalfe SE, O’Hara SL, Caballero M, Davies SJ (2000) Records of Late Pleistocene-Holocene climatic change in Mexico—a review. Quat Sci Rev 19:699–721
Molina-Martínez A, León-Cortés JL, Regan HM (2013) Climatic and geometric constraints as driving factors of butterfly species richness along a Neotropical elevational gradient. J Insect Conserv 17:1169–1180
Molina-Martínez A, León-Cortés JL, Regan HM et al (2016) Changes in butterfly distributions and species assemblages on a Neotropical Mountain range in response to global warming and anthropogenic land use. Divers Distrib 22:1085–1098. https://doi.org/10.1007/s10841-013-9598-0
Montañez-Reyna M, León-Cortés JL, Infante F et al (2022) Diversity and climatic distribution of moths in the tribe arctiini (Lepidoptera: Erebidae: Arctiinae) in Mexico. Ann Entomol Soc Am. https://doi.org/10.1093/aesa/saac002
Morón AM, Angel M (2001) La fauna de coleoptera melolonthidae. Acta Zool Mex 25:1–25
Olden JD, Poff NL, Douglas MR et al (2004) Ecological and evolutionary consequences of biotic homogenization. Trends Ecol Evol 19:18–24. https://doi.org/10.1016/j.tree.2003.09.010
Peakall R, Smouse PE (2006) GENALEX 6: genetic analysis in excel. population genetic software for teaching and research. Mol Ecol Notes 6:288–295. https://doi.org/10.1111/j.1471-8286.2005.01155.x
Pearson RG, Raxworthy CJ, Nakamura M, Townsend Peterson A (2007) Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. J Biogeogr 34:102–117. https://doi.org/10.1111/j.1365-2699.2006.01594.x
Peterson AT, Soberón J, Sánchez-Cordero V (1999) Conservatism of ecological niches in evolutionary time. Science 285:1265–1267. https://doi.org/10.1126/science.285.5431.1265
Peterson AT, Papeş M, Soberón J (2008) Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecol Modell 213:63–72. https://doi.org/10.1016/j.ecolmodel.2007.11.008
Phillips SJ, Dudı M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31:161–175
Ponce-Reyes R, Reynoso-Rosales VH, Watson JEM et al (2012) Vulnerability of cloud forest reserves in Mexico to climate change. Nat Clim Chang 2:448–452. https://doi.org/10.1038/nclimate1453
Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959
Radosavljevic A, Anderson RP (2014) Making better Maxent models of species distributions: complexity, overfitting and evaluation. J Biogeogr 41:629–643. https://doi.org/10.1111/jbi.12227
Razgour O, Forester B, Taggart JB et al (2019) Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss Projections. Proc Natl Acad Sci 116:6–11
Reisch C, Rosbakh S (2021) Patterns of genetic variation in European plant species depend on altitude. Divers Distrib 27:157–163. https://doi.org/10.1111/ddi.13177
Rödder D, Schmitt T, Gros P et al (2021) Climate change drives mountain butterflies towards the summits. Sci Rep. https://doi.org/10.1038/s41598-021-93826-0
Rodrigues ASL, Andelman SJ, Bakarr MI et al (2004) Effectiveness of the global protected area network in representing species diversity. Nature 428:9–12. https://doi.org/10.1038/nature02459.1
Romo H, Munguira ML, Barros EG (2007) Area selection for the conservation of butterflies in the Iberian Peninsula and Balearic Islands. Anim Biodivers Conserv 1:7–27
Roux O, Gevrey M, Arvanitakis L et al (2007) ISSR-PCR: Tool for discrimination and genetic structure analysis of Plutella xylostella populations native to different geographical areas. Mol Phylogenet Evol 43:240–250. https://doi.org/10.1016/j.ympev.2006.09.017
Rubidge EM, Patton JL, Lim M et al (2012) Climate-induced range contraction drives genetic erosion in an alpine mammal. Nat Clim Chang 2:285–288. https://doi.org/10.1038/nclimate1415
Ruiz-Utrilla ZP, León-Cortés JL, Enríquez PL, Molina-Martínez A (2018) Spatial distribution and population ecology of Drucina championi (Lepidoptera: Nymphalidae), a threatened butterfly from mountain landscapes of Southern Mexico. Ann Entomol Soc Am 111:285–294
San-Juan E, Araya-Donoso R, Véliz D et al (2021) Genetic diversity in a restricted-dispersal kissing bug: the centre–periphery hypothesis halfway. Mol Ecol 30:4660–4672
Schierenbeck KA (2017) Population-level genetic variation and climate change in a biodiversity hotspot. Ann Bot. https://doi.org/10.1093/aob/mcw214
Schmitt T, Seitz A (2002) Postglacial colonisation of western Central Europe by. Heredity. https://doi.org/10.1038/sj.hdy.6800003
Sexton JP, McIntyre PJ, Angert AL, Rice KJ (2009) Evolution and ecology of species range limits. Annu Rev Ecol Evol Syst 40:415–436. https://doi.org/10.1146/annurev.ecolsys.110308.120317
Silva KD, Vieira TB, Juen L et al (2021) Protected areas are not effective for the conservation of freshwater insects in Brazil. Sci Rep. https://doi.org/10.1038/s41598-021-00700-0
Sosa-castillo ME, Reyna JL, Delia L et al (2017) Estandarización y validación de la prueba de PCR anidada para el diagnóstico de especies del género Xyleborus (Coleoptera : Curculionidae : Scolytinae ). Acta Zoológica Mex 1737:18–26
Sourakov A (2017) Temperature-dependent phenotypic plasticity in wing pattern of Utetheisa ornatrix bella (Erebidae, Arctiinae). Trop Lepid Res 25:34–45
Steffen P, Carsten N, Miklos B, Markus P (2013) The impact of global climate change on genetic diversity within populations and species. Mol Ecol 22:925–946. https://doi.org/10.1111/mec.12152
Steinbauer MJ, Field R, Grytnes JA et al (2016) Topography-driven isolation, speciation and a global increase of endemism with elevation. Glob Ecol Biogeogr 25:1097–1107
Stift M, Kolář F, Meirmans PG (2019) Structure is more robust than other clustering methods in simulated mixed-ploidy populations. Heredity 123:429–441. https://doi.org/10.1038/s41437-019-0247-6
Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498. https://doi.org/10.1175/BAMS-D-11-00094.1
Thomas CD, Franco AMA, Hill JK (2006) Range retractions and extinction in the face of climate warming. Trends Ecol Evol 21:415–416. https://doi.org/10.1016/j.tree.2006.05.012
Toledo VM (1982) Pleistocene Changes of Vegetation in Tropical Mexico. In: Prance GT (ed) Diversificación biológica en los trópicos. Prensa de la Universidad de Columbia, New York, pp 93–111
Tribsch A (2004) Areas of endemism of vascular plants in the Eastern Alps in relation to Pleistocene glaciation. J Biogeogr 31:747–760. https://doi.org/10.1111/j.1365-2699.2004.01065.x
Warren RS, Fell PE, Grimsby JL et al (2001) Rapid responses of British butterflies to opposing forces of climate and habitat change. Nature 24:90–107. https://doi.org/10.2307/1352816
Wasserman TN, Cushman SA, Landguth EL (2013) Population connectivity and genetic diversity of American marten (Martes americana) in the United States northern Rocky Mountains in a climate change context. Conserv Genet 14:529–541. https://doi.org/10.1007/s10592-012-0336-z
Wiens JJ (2016) Climate-Related local extinctions are already widespread among plant and animal species. PLoS Biol. https://doi.org/10.1371/journal.pbio.2001104
Wiens JJ, Graham CH (2005) Niche conservatism: integrating evolution, ecology, and conservation biology. Annu Rev Ecol Evol Syst 36:519–539. https://doi.org/10.1146/annurev.ecolsys.36.102803.095431
Wilson RJ, Gutiérrez D, Gutiérrez J et al (2005) Changes to the elevational limits and extent of species ranges associated with climate change. Ecol Lett 8:1138–1146
Windmaißer T, Kattari S, Heubl G, Reisch C (2016) Glacial refugia and postglacial expansion of the alpine–prealpine plant species Polygala chamaebuxus. Ecol Evol 6:7809–7819
Wisz MS, Hijmans RJ, Li J et al (2008) Effects of sample size on the performance of species distribution models. Divers Distrib 14:763–773. https://doi.org/10.1111/j.1472-4642.2008.00482.x
Wright S (1969) Evolution and the genetics of populations. The Theory of Gene Frequencies, vol 2. University of Chicago Press, Chicago
Wright S (1978) Evolution and the genetic of population, variability within and among natural populations, vol 4. University of Chicago Press, Chicago, pp 213–220
Xue-Ju G, Yan Y, Yong-Ming Y et al (2007) Genetic diversity and geographic differentiation in endangered Ammopiptanthus (Leguminosa) populations in desert regions of Northwest China as revealed by ISSR analysis. Ann Bot 95:843–851. https://doi.org/10.1093/aob/mci089
Yeh FC, Yang RC, Boyle T (1999) POPGENE Version 1.32: microsoft window-based freeware for population genetics analysis. University of Alberta. https://sites.ualberta.ca/~fyeh/popgene_download.html
Zenker MM, Wahlberg N, Brehm G et al (2017) Systematics and origin of moths in the subfamily Arctiinae (Lepidoptera, Erebidae) in the Neotropical region. Zool Scr 46:348–362. https://doi.org/10.1111/zsc.12202
Zietkiewicz E, Rafalski A, Labuda D (1994) Genome fingerprinting by simple sequence repeat (SSR)-anchored polymerase chain reaction amplification. Genomics 20:176–183
Acknowledgements
We acknowledge the CONANP administrators from ETBR for support during our moth surveys and the Secretaria de Medio Ambiente y Recursos Naturales in México for their permission (DGVS/002487/18) to survey moth populations at ETBR. We thank R. Vandame and J. Merida (ECOSUR, San Cristóbal) for providing the stereoscope for the examination of moth's genitalia. We thank two anonymous reviewers for comments and suggestions.
Funding
M. Montañez-Reyna was supported by a Doctoral grant from the National Council for Science and Technology in Mexico (CONACYT 670510, 2018–21), and J. L. León-Cortés by a CONACYT Grant No (258792: CB-2015–01).
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MM-R, JLL-C, AG-V, JG-J, MAS-G. All authors contributed to the study conception and design.
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Montañez-Reyna, M., León-Cortés, J.L., Gómez-Velasco, A. et al. Suitable climate space and genetic diversity of the mountain-affiliated moth Cosmosoma maishei (Erebidae: Arctiinae: Arctiini: Euchromiina) in cloud forests of Chiapas, Mexico. J Insect Conserv 27, 643–655 (2023). https://doi.org/10.1007/s10841-023-00487-7
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DOI: https://doi.org/10.1007/s10841-023-00487-7