Abstract
Climate change is reshaping ecosystems worldwide, yet our ability to quantify its long-term impact across taxa is limited by a lack of reliable and comparable data. Here, we present a systematically collected long-term dataset spanning nearly a decade (2012–2021), documenting the diversity, abundance, and distribution of 439 moth species (Lepidoptera: Heterocera) from the Czech part of the Giant Mountains, a region entirely protected as Krkonoše National Park. Using standardised light traps, we sampled 982 localities across an area of 550 km², yielding a total of 64,776 specimens. Localities are accompanied by in-situ assessments of vegetation characteristics and management regimes, complemented by topographical derivatives and ecosystem information retrieved post-hoc from open spatial data. The dataset provides a valuable resource for investigating spatial and temporal patterns in moth diversity and abundance, as well as for evaluating the effects of different management practices, supporting both basic and applied research.
Data availability
The dataset is publicly available on Figshare (https://doi.org/10.6084/m9.figshare.30290536).
Code availability
An R script containing the full spatial data processing workflow is available on GitHub repository (https://github.com/antoninhlavacek/Moth_Krkonose), with routines for data download, using httr49 and xml250 packages, processing, and site-specific extraction.
References
Hallmann, C. A. et al. More than 75 percent decline over 27 years in total flying insect biomass in protected areas. PLOS ONE 12, e0185809, https://doi.org/10.1371/journal.pone.0185809 (2017).
Hallmann, C. A., Ssymank, A., Sorg, M., de Kroon, H. & Jongejans, E. Insect biomass decline scaled to species diversity: General patterns derived from a hoverfly community. Proc. Natl. Acad. Sci. 118, e2002554117, https://doi.org/10.1073/pnas.2002554117 (2021).
Müller, J. et al. Weather explains the decline and rise of insect biomass over 34 years. Nature 628, 349–354, https://doi.org/10.1038/s41586-023-06402-z (2024).
Müller, J. et al. Reply to: Weather anomalies cannot explain insect decline. Nature 639, E12–E13, https://doi.org/10.1038/s41586-024-08529-z (2025).
Hallmann, C. A. et al. Weather anomalies cannot explain insect decline. Nature 639, E7–E11, https://doi.org/10.1038/s41586-024-08528-0 (2025).
Wagner, D. L., Grames, E. M., Forister, M. L., Berenbaum, M. R. & Stopak, D. Insect decline in the Anthropocene: Death by a thousand cuts. Proc. Natl. Acad. Sci. 118, e2023989118, https://doi.org/10.1073/pnas.2023989118 (2021).
Payne, D., Spehn, E. M., Snethlage, M. & Fischer, M. Opportunities for research on mountain biodiversity under global change. Curr. Opin. Environ. Sustain. 29, 40–47, https://doi.org/10.1016/j.cosust.2017.11.001 (2017).
Watson, J. E. M. et al. Persistent Disparities between Recent Rates of Habitat Conversion and Protection and Implications for Future Global Conservation Targets. Conserv. Lett. 9, 413–421, https://doi.org/10.1111/conl.12295 (2016).
Selwood, K. E. & Zimmer, H. C. Refuges for biodiversity conservation: A review of the evidence. Biol. Conserv. 245, 108502, https://doi.org/10.1016/j.biocon.2020.108502 (2020).
Suggitt, A. J. et al. Extinction risk from climate change is reduced by microclimatic buffering. Nat. Clim. Change 8, 713–717, https://doi.org/10.1038/s41558-018-0231-9 (2018).
Gentili, R., Badola, H. K. & Birks, H. J. B. Alpine biodiversity and refugia in a changing climate. Biodiversity 16, 193–195, https://doi.org/10.1080/14888386.2015.1117023 (2015).
Hampe, A. & Petit, R. J. Conserving biodiversity under climate change: the rear edge matters. Ecol. Lett. 8, 461–467, https://doi.org/10.1111/j.1461-0248.2005.00739.x (2005).
Scalercio, S., Bonacci, T., Mazzei, A., Pizzolotto, R. & Brandmayr, P. Better up, worse down: bidirectional consequences of three decades of climate change on a relict population of Erebia cassioides. J. Insect Conserv. 18, 643–650, https://doi.org/10.1007/s10841-014-9669-x (2014).
Kawahara, A. Y. et al. Diel behavior in moths and butterflies: a synthesis of data illuminates the evolution of temporal activity. Org. Divers. Evol. 18, 13–27, https://doi.org/10.1007/s13127-017-0350-6 (2018).
Kawahara, A. Y. et al. Phylogenomics reveals the evolutionary timing and pattern of butterflies and moths. Proc. Natl. Acad. Sci. 116, 22657–22663, https://doi.org/10.1073/pnas.1907847116 (2019).
Altermatt, F. & Pearse, I. S. Similarity and Specialization of the Larval versus Adult Diet of European Butterflies and Moths. Am. Nat. 178, 372–382, https://doi.org/10.1086/661248 (2011).
Potocký, P., Bartoňová, A., Beneš, J., Zapletal, M. & Konvička, M. Life-history traits of Central European moths: gradients of variation and their association with rarity and threats. Insect Conserv. Divers. 11, 493–505, https://doi.org/10.1111/icad.12291 (2018).
Gaston, K. J. Patterns in the Local and Regional Dynamics of Moth Populations. Oikos 53, 49–57, https://doi.org/10.2307/3565662 (1988).
Beck, J. et al. Elevational species richness gradients in a hyperdiverse insect taxon: a global meta-study on geometrid moths. Glob. Ecol. Biogeogr. 26, 412–424, https://doi.org/10.1111/geb.12548 (2017).
Mertens, J. E. J. et al. Elevational and seasonal patterns of butterflies and hawkmoths in plant-pollinator networks in tropical rainforests of Mount Cameroon. Sci. Rep. 11, 9710, https://doi.org/10.1038/s41598-021-89012-x (2021).
Kadlec, T., Kotela, M., Novák, I., Konvička, M. & Jarošík, V. Effect of land use and climate on the diversity of moth guilds with different habitat specialization. https://doi.org/10.1556/comec.10.2009.2.3 (2009).
Kadlec, T., Štrobl, M., Hanzelka, J., Hejda, M. & Reif, J. Differences in the community composition of nocturnal Lepidoptera between native and invaded forests are linked to the habitat structure. Biodivers. Conserv. 27, 2661–2680, https://doi.org/10.1007/s10531-018-1560-8 (2018).
Froidevaux, J. S. P., Broyles, M. & Jones, G. Moth responses to sympathetic hedgerow management in temperate farmland. Agric. Ecosyst. Environ. 270–271, 55–64, https://doi.org/10.1016/j.agee.2018.10.008 (2019).
Piccini, I. et al. Short-term effects of clearing restoration on the relationship of plant and moth communities. Biodivers. Conserv. 33, 3683–3701, https://doi.org/10.1007/s10531-024-02917-7 (2024).
Hill, G. M., Kawahara, A. Y., Daniels, J. C., Bateman, C. C. & Scheffers, B. R. 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 (2021).
Jeník, J. Alpinská Vegetace Krkonoš, Králického Sněžníku a Hrubého Jeseníku: Teorie Anemo-Orografických Systémů/. (Nakladatelství Československé akademie věd, 1961).
Treml, V. & Banaš, M. Alpine timberline in the High Sudetes. Acta Univ. Carol. Geogr. 15, 83–99 (2000).
Brehm, G. et al. Moths are strongly attracted to ultraviolet and blue radiation. Insect Conserv. Divers. 14, 188–198, https://doi.org/10.1111/icad.12476 (2021).
Heath, J. A Genuinely Portable M.V. Light Trap. Entomol. Rec. J. Var. 76–77, 246–248 (1965).
Laštůvka, Z. & Liška, J. Komentovaný Seznam Motýlů České Republiky. Annotated Checklist of Moths and Butterflies of the Czech Republic (Insecta: Lepidoptera). (Biocont Laboratory, 2011).
Hejda, R., Farkač, J. & Chobot, K. Červený seznam ohrožených druhů České republiky: BEZOBRATLÍ: Red List of Threatened Species of Czech Republic: INVERTEBRATES. Příroda 1–611 (2017).
Truxa, C. & Fiedler, K. Attraction to light – from how far do moths (Lepidoptera) return to weak artificial sources of light? EJE 109, 77–84, https://doi.org/10.14411/eje.2012.010 (2013).
R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing (2024).
Roussel, J.-R. et al. lidR: An R package for analysis of Airborne Laser Scanning (ALS) data. Remote Sens. Environ. 251, 112061, https://doi.org/10.1016/j.rse.2020.112061 (2020).
Roussel, J.-R. & Auty, D. Airborne LiDAR Data Manipulation and Visualization for Forestry Applications (2025).
Pebesma, E. Simple Features for R: Standardized Support for Spatial Vector Data. R J. 10, 439–446 (2018).
Pebesma, E. & Bivand, R. Spatial Data Science: With Applications in R. (Chapman and Hall/CRC., 2023).
Hijimas, R. J. terra: Spatial Data Analysis (2025).
ČÚZK. ZABAGED®—Altimetry—DMR 5G. Digital Terrain Model of the Czech Republic of the 5th generation (DMR 5G) in S-JTSK, Bpv. (2025).
Horn, B. K. P. Hill shading and the reflectance map. Proc. IEEE 69, 14–47, https://doi.org/10.1109/PROC.1981.11918 (1981).
Evans, J. S. & Murphy, A. Evans, J. S., & Murphy, M. A. spatialEco (R package version 2.0-2) (2023).
Dilts, T. E., Blum, M. E., Shoemaker, K. T., Weisberg, P. J. & Stewart, K. M. Improved topographic ruggedness indices more accurately model fine-scale ecological patterns. Landsc. Ecol. 38, 1395–1410, https://doi.org/10.1007/s10980-023-01646-6 (2023).
McCune, B. & Keon, D. Equations for potential annual direct incident radiation and heat load. J. Veg. Sci. 13, 603–606, https://doi.org/10.1111/j.1654-1103.2002.tb02087.x (2002).
NCA CR. Consolidated Layer of Ecosystems (2021).
NCA CR. Update of the mapping of natural habitats (2025).
Čížek, O. et al. Full-elevational gradient dataset on moth diversity and abundance in a temperate mountain range. https://doi.org/10.6084/m9.figshare.30290536 (2026).
Čížek, O., Marhoul, P., Kadlec, T., Jor, T. & Hlaváček, A. Noční Motýli Jako Klíčová Bioindikační Skupina pro Zlepšení Péče o Krkonošské Louky z Pohledu Bezobratlých a pro Sledování Dopadů Klimatických Změn. 1261 (2022).
Pebesma, E. J. Multivariable geostatistics in S: the gstat package. Comput. Geosci. 30, 683–691, https://doi.org/10.1016/j.cageo.2004.03.012 (2004).
Wickham, H. httr: Tools for working with urls and HTTP. (2023).
Wickham, H., Hester, J. & Ooms, J. xml2: Parse XML. (2023).
Acknowledgements
We would like to express our special gratitude to Jan Materna from Krkonoše National Park for his dedicated and exceptionally persistent support and interest. We also thank Barbora Dubská, Lenka Hamšíková, Petr Havránek, Jan Hrnčíř, Zuzana Hýrková, Otto Krotvar, Vojtěch Pařízek, Jiří Skala, Markéta Staňková, Martin Štrobl, Michal Zapletal, Jaroslav Zámečník, and Barbora Zsáková for their help with fieldwork. We appreciate Michal FoFo Zapletal’s help with identifying the specimens. Data collection and investigation was funded by several projects, including: 1) Operational Programme Environment (OPE) no EIS:CZ.05.4.27/0.0/0.0/17_078/0006395, co-funded by the EU European Regional Development Fund and Cohesion Fund (2019–2021); 2) LIFE CORCONTICA project (LIFE11 NAT/CZ/490) financially supported by the European Commission from the LIFE + program (2007–2013); 3) Additional funding provided by the Krkonoše National Park. The work of AH was supported by the Grant Agency of Charles University, project no. 168024/2024.
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O.C.: conceptualization, data curation, funding acquisition, investigation, methodology, project administration, validation, writing – review & editing; P.M.: conceptualization, funding acquisition, investigation, methodology, writing – review & editing; T.K.: conceptualization, funding acquisition, investigation, methodology, writing – review & editing; O.K.: data curation, formal analysis, validation, visualization, writing – review & editing; T.J.: investigation; writing – review & editing; A.H.: conceptualization, data curation, formal analysis, investigation, validation, visualization, writing – original draft.
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Čížek, O., Marhoul, P., Kadlec, T. et al. Full-elevational gradient dataset on moth diversity and abundance in a temperate mountain range.
Sci Data (2026). https://doi.org/10.1038/s41597-026-06837-9
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DOI: https://doi.org/10.1038/s41597-026-06837-9
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