Forecasted changes in the suitability of the Vanessa cardui environment in agroecosystems of Ukraine under climate scenarios
DOI:
https://doi.org/10.31210/spi2026.29.01.01Keywords:
climate change, environmental suitability, species distribution modelling, MaxEnt, soybean agroecosystems, migratory phytophagous insect, ecosystem servicesAbstract
Modern climate change significantly transforms the functioning of agroecosystems and affects the spatial dynamics, abundance, and potential harmfulness of migratory phytophages in the temperate climate zone. In this regard, it is particularly important to study possible changes in the ecological niches of species capable of responding quickly to changes in climatic parameters. One such species is the painted lady butterfly Vanessa cardui (Lepidoptera: Nymphalidae), which is characterised by high migratory ability, broad ecological plasticity and the potential to form significant populations in agricultural landscapes. The aim of the study was to assess the current and projected suitability of the environment for Vanessa cardui and to determine possible changes in its potential range under different climate change scenarios. The analysis used georeferenced data on the species' localisation obtained from global biogeographical databases, which were combined with bioclimatic variables based on CMIP6 climate projections. Habitat suitability was modelled using the entropy maximisation (MaxEnt) algorithm, which is widely used to model the potential distribution of species based on presence-only data. The quality of the models obtained was assessed using AUC indicators and ROC curve analysis. The modelling results showed that the spatial distribution of Vanessa cardui is largely determined by temperature seasonality, the average temperature of the warmest quarter, and the amount of precipitation during the growing season. Forecasts indicate a possible redistribution of territories with varying levels of ecological suitability, an increase in the spatial mosaic of the environment, and fragmentation of optimal habitats under scenarios of more intense climate stress. At the same time, a significant part of the studied region retains a moderate level of environmental suitability for the species, which indicates not an unambiguous expansion or reduction of the range, but an increase in the variability of living conditions and potential instability of populations. The results obtained indicate a possible transformation of the balance between phytophagic pressure and natural ecological regulation in soybean agroecosystems, which is caused by changes in climatic parameters. The proposed approach to forecasting can be used in phytosanitary risk assessment systems, improving monitoring programmes and developing adaptive strategies for managing agroecosystems in conditions of climate uncertainty.
References
1. Parmesan, C., & Yohe, G. (2003). A globally coherent fingerprint of climate change impacts across natural systems. Nature, 421(6918), 37–42. https://doi.org/10.1038/nature01286
2. Parmesan, C. (2006). Ecological and evolutionary responses to recent climate change. Annual Review of Ecology, Evolution, and Systematics, 37(1), 637–669. https://doi.org/10.1146/annurev.ecolsys.37.091305.110100
3. Bebber, D. P., Ramotowski, M. A. T., & Gurr, S. J. (2013). Crop pests and pathogens move polewards in a warming world. Nature Climate Change, 3(11), 985–988. https://doi.org/10.1038/nclimate1990
4. Stefanescu, C., Soto, D. X., Talavera, G., Vila, R., & Hobson, K. A. (2016). Long-distance autumn migration across the Sahara by painted lady butterflies: exploiting resource pulses in the tropical savannah. Biology Letters, 12(10), 20160561. https://doi.org/10.1098/rsbl.2016.0561
5. Talavera, G., & Vila, R. (2016). Discovery of mass migration and breeding of the painted lady butterfly Vanessa cardui in the Sub-Sahara: the Europe-Africa migration revisited. Biological Journal of the Linnean Society, 120(2), 274–285. https://doi.org/10.1111/bij.12873
6. Talavera, G., Bataille, C., Benyamini, D., Gascoigne-Pees, M., & Vila, R. (2018). Round-trip across the Sahara: Afrotropical painted lady butterflies recolonize the Mediterranean in early spring. Biology Letters, 14(6), 20180274. https://doi.org/10.1098/rsbl.2018.0274
7. Reich, M. S., Ghouri, S., Zabudsky, S., Hu, L., Le Corre, M., Ng’iru, I., Benyamini, D., Shipilina, D., Collins, S. C., Martins, D. J., Vila, R., Talavera, G., & Bataille, C. P. (2024). Trans-Saharan migratory patterns in Vanessa cardui and evidence for a southward leapfrog migration. IScience, 27(12), 111342. https://doi.org/10.1016/j.isci.2024.111342
8. García-Berro, A., Shipilina, D., Backström, N., Suchan, T., Palahí, A., Collins, S. C., Martins, D. J., Pierce, N. E., Vila, R., & Talavera, G. (2025). A north-south hemispheric migratory divide in the butterfly Vanessa cardui. Nature Communications, 16(1), 11341. https://doi.org/10.1038/s41467-025-67185-7
9. Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., & Yates, C. J. (2010). A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17(1), 43–57. https://doi.org/10.1111/j.1472-4642.2010.00725.x
10. Merow, C., Smith, M. J., & Silander, J. A. (2013). A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography, 36(10), 1058–1069. https://doi.org/10.1111/j.1600-0587.2013.07872.x
11. Phillips, S. J., & Dudík, M. (2008). Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31(2), 161–175. https://doi.org/10.1111/j.0906-7590.2008.5203.x
12. O’Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., Meehl, G. A., Moss, R., Riahi, K., & Sanderson, B. M. (2016). The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geoscientific Model Development, 9(9), 3461–3482. https://doi.org/10.5194/gmd-9-3461-2016
13. Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J. C., KC, S., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Da Silvai, L. A., Smith, S., Stehfest, E., Bosetti, V., Eomd, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Drouet, L., Kreya, V., Luderer, G., Harmsen, M., Takahashi, K., Baumstark, L., Doelman, J. C., Kainuma, M., Klimont, Z., Marangonii, G., Lotze-Campenc, H., Obersteiner, M., Tabeau, A., & Tavoni, M. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change, 42, 153–168. https://doi.org/10.1016/j.gloenvcha.2016.05.009
14. Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302–4315. https://doi.org/10.1002/joc.5086
15. Cerasoli, F., D’Alessandro, P., & Biondi, M. (2022). Worldclim 2.1 versus Worldclim 1.4: Climatic niche and grid resolution affect between‐version mismatches in habitat suitability models predictions across Europe. Ecology and Evolution, 12(2), e8430. Portico. https://doi.org/10.1002/ece3.8430
16. Anderson, R. P., Martínez-Meyer, E., Nakamura, M., Araújo, M. B., Peterson, A. T., Soberón, J., & Pearson, R. G. (2011). Ecological Niches and Geographic Distributions (MPB-49). https://doi.org/10.1515/9781400840670
17. Franklin, J. (2010). Mapping Species Distributions. https://doi.org/10.1017/cbo9780511810602
18. Robinet, C., & Roques, A. (2010). Direct impacts of recent climate warming on insect populations. Integrative Zoology, 5(2), 132–142. https://doi.org/10.1111/j.1749-4877.2010.00196.x
19. Lenoir, J., & Svenning, J. ‐C. (2014). Climate‐related range shifts – a global multidimensional synthesis and new research directions. Ecography, 38(1), 15–28. https://doi.org/10.1111/ecog.00967
20. Intergovernmental Panel on Climate Change (IPCC). (2023). Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. https://doi.org/10.1017/9781009157896
21. Tarariko, O. H., Cruse, R. M., Ilienko, T. V., Kuchma, T. L., Kozlova, A. O., Andereiev, A. A., Yatsiuk, V. M., & Velychko, V. A. (2024). Impact of climate changes on agroresources of Ukrainian Polissia based on geospatial data. Agricultural Science and Practice, 11(2), 3–29. https://doi.org/10.15407/agrisp11.02.003
22. Wezel, A., Herren, B. G., Kerr, R. B., Barrios, E., Gonçalves, A. L. R., & Sinclair, F. (2020). Agroecological principles and elements and their implications for transitioning to sustainable food systems. A review. Agronomy for Sustainable Development, 40(6), 40. https://doi.org/10.1007/s13593-020-00646-z
23. Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3–4), 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
24. Deutsch, C. A., Tewksbury, J. J., Tigchelaar, M., Battisti, D. S., Merrill, S. C., Huey, R. B., & Naylor, R. L. (2018). Increase in crop losses to insect pests in a warming climate. Science, 361(6405), 916–919. https://doi.org/10.1126/science.aat3466
25. Zhao, C., Liu, B., Piao, S., Wang, X., Lobell, D. B., Huang, Y., Huang, M., Yao, Y., Bassu, S., Ciais, P., Durand, J.-L., Elliott, J., Ewert, F., Janssens, I. A., Li, T., Lin, E., Liu, Q., Martre, P., Müller, C., Peng, S., Peñuelas, J., Ruane, A. C., Wallach, D., Wang, T., Wu, D., Liu, Z., Zhu, Y., Zhu, Z., & Asseng, S. (2017). Temperature increase reduces global yields of major crops in four independent estimates. Proceedings of the National Academy of Sciences, 114(35), 9326–9331. https://doi.org/10.1073/pnas.1701762114
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