Articles | Volume 16, issue 5
https://doi.org/10.5194/esd-16-1391-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-16-1391-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
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01 Sep 2025
Research article | Highlight paper |
| 01 Sep 2025
| 01 Sep 2025
A climate suitability index for species distribution modelling applied to terrestrial arthropods in the Mediterranean region
Institute of Earth Systems, University of Malta, Msida, Malta
Abdus Salam International Centre for Theoretical Physics, Trieste, Italy
Monique Borg Inguanez
Department of Statistics and Operations Research, University of Malta, Msida, Malta
Erika Coppola
Abdus Salam International Centre for Theoretical Physics, Trieste, Italy
Aaron Micallef
Department of Geosciences, University of Malta, Msida, Malta
Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA
David Mifsud
Institute of Earth Systems, University of Malta, Msida, Malta
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Cited articles
Adam, J. C. and Lettenmaier, D. P.: Adjustment of global gridded precipitation for systematic bias, J. Geophys. Res.-Atmos., 108, 4257, https://doi.org/10.1029/2002JD002499, 2003.
Adão, F., Campos, J. C., Santos, J. A., Malheiro, A. C., and Fraga, H.: Relocation of bioclimatic suitability of Portuguese grapevine varieties under climate change scenarios, Front. Plant. Sci., 14, 974020, https://doi.org/10.3389/fpls.2023.974020, 2023.
Arce, A. N., Cantwell-Jones, A., Tansley, M., Barnes, I., Brace, S., Mullin, V. E., Notton, D., Ollerton, J., Eatough, E., Rhodes, M. W., Bian, X., Hogan, J., Hunter, T., Jackson, S., Whiffin, A., Blagoderov, V., Broad, G., Judd, S., Kokkini, P., Livermore, L., Dixit, M. K., Pearse, W. D., and Gill, R. J.: Signatures of increasing environmental stress in bumblebee wings over the past century: Insights from museum specimens, J. Anim. Ecol., 92, 297–309, https://doi.org/10.1111/1365-2656.13788, 2023.
Ban, N., Caillaud, C., Coppola, E., Pichelli, E., Sobolowski, S., Adinolfi, M., Ahrens, B., Alias, A., Anders, I., Bastin, S., Belušić, D., Berthou, S., Brisson, E., Cardoso, R. M., Chan, S. C., Christensen, O. B., Fernández, J., Fita, L., Frisius, T., Gašparac, G., Giorgi, F., Goergen, K., Haugen, J. E., Hodnebrog, Ø., Kartsios, S., Katragkou, E., Kendon, E. J., Keuler, K., Lavin-Gullon, A., Lenderink, G., Leutwyler, D., Lorenz, T., Maraun, D., Mercogliano, P., Milovac, J., Panitz, H.-J., Raffa, M., Remedio, A. R., Schär, C., Soares, P. M. M., Srnec, L., Steensen, B. M., Stocchi, P., Tölle, M. H., Truhetz, H., Vergara-Temprado, J., de Vries, H., Warrach-Sagi, K., Wulfmeyer, V., and Zander, M. J.: The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation, Clim. Dynam., 57, 275–302, https://doi.org/10.1007/s00382-021-05708-w, 2021.
Botsch, J. C., Zaveri, A. N., Nell, L. A., McCormick, A. R., Book, K. R., Phillips, J. S., Einarsson, Á., and Ives, A. R.: Disentangling the drivers of decadal body size decline in an insect population, Glob. Change Biol., 30, e17014, https://doi.org/10.1111/gcb.17014, 2024.
Buzzetti, F. M., Fontana, P., Hochkirch, A., Kleukers, R., Massa, B., and Odé, B.: Brachytrupes megacephalus (Europe assessment). The IUCN Red List of Threatened Species 2016, e.T64550733A70738413, https://www.iucnredlist.org/species/64550733/70738413 (last access: 23 March 2025), 2016.
Casanueva, A., Kotlarski, S., Herrera, S., Fernández, J., Gutiérrez, J. M., Boberg, F., Colette, A., Christensen, O. B., Goergen, K., Jacob, D., Keuler, K., Nikulin, G., Teichmann, C., and Vautard, R.: Daily precipitation statistics in a EURO-CORDEX RCM ensemble: added value of raw and bias-corrected high-resolution simulations, Clim. Dynam., 47, 719–737, https://doi.org/10.1007/s00382-015-2865-x, 2016.
Chakravarthy, A. K., Kammar, V., and Shashank, P. R.: Arthropods: Evolution and Ecology, in: Economic and Ecological Significance of Arthropods in Diversified Ecosystems, edited by: Chakravarthy, A. and Sridhara, S., Springer Singapore, Singapore, 1–16, https://doi.org/10.1007/978-981-10-1524-3_1, 2016.
Chen, D., Rojas, M., Samset, B. H., Cobb, K., Niang, A. D., Edwards, P., Emori, S., Faria, S. H., Hawkins, E., Hope, P., Huybrechts, P., Meinshausen, M., Mustafa, S. K., Plattner, G.-K., and Tréguier, A.-M.: Framing, Context, and Methods, in: Climate Change 2021 – The Physical Science Basis, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, 147–286, https://doi.org/10.1017/9781009157896.003, 2021.
Ciarlo, J.: ciarloj/Eco-Climate-Index: Eco-Climate Index Scripts (v1.1), Zenodo [code], https://doi.org/10.5281/zenodo.16875531, 2025.
Ciarlo', J. M., Coppola, E., Fantini, A., Giorgi, F., Gao, X., Tong, Y., Glazer, R. H., Torres Alavez, J. A., Sines, T., Pichelli, E., Raffaele, F., Das, S., Bukovsky, M., Ashfaq, M., Im, E.-S., Nguyen-Xuan, T., Teichmann, C., Remedio, A., Remke, T., Bülow, K., Weber, T., Buntemeyer, L., Sieck, K., Rechid, D., and Jacob, D.: A new spatially distributed added value index for regional climate models: the EURO-CORDEX and the CORDEX-CORE highest resolution ensembles, Clim. Dynam., 57, 1403–1424, https://doi.org/10.1007/s00382-020-05400-5, 2021.
Ciarlo', J., Coppola, E., Micallef, A., and Mifsud, D.: ERA5-driven reduced-Mediterranean RegCM5-BATS CP simulation (Version 1), Zenodo [data set], https://doi.org/10.5281/zenodo.14537964, 2024.
Clark, R. C. and Johnson, J. C.: The functional microclimate of an urban arthropod pest: Urban heat island temperatures in webs of the western black widow spider, J. Therm. Biol., 120, 103814, https://doi.org/10.1016/j.jtherbio.2024.103814, 2024.
Coppola, E., Sobolowski, S., Pichelli, E., Raffaele, F., Ahrens, B., Anders, I., Ban, N., Bastin, S., Belda, M., Belusic, D., Caldas-Alvarez, A., Cardoso, R. M., Davolio, S., Dobler, A., Fernandez, J., Fita, L., Fumiere, Q., Giorgi, F., Goergen, K., Güttler, I., Halenka, T., Heinzeller, D., Hodnebrog, Ø., Jacob, D., Kartsios, S., Katragkou, E., Kendon, E., Khodayar, S., Kunstmann, H., Knist, S., Lavín-Gullón, A., Lind, P., Lorenz, T., Maraun, D., Marelle, L., van Meijgaard, E., Milovac, J., Myhre, G., Panitz, H.-J., Piazza, M., Raffa, M., Raub, T., Rockel, B., Schär, C., Sieck, K., Soares, P. M. M., Somot, S., Srnec, L., Stocchi, P., Tölle, M. H., Truhetz, H., Vautard, R., de Vries, H., and Warrach-Sagi, K.: A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean, Clim. Dynam., 55, 3–34, https://doi.org/10.1007/s00382-018-4521-8, 2020.
Coppola, E., Nogherotto, R., Ciarlo', J. M., Giorgi, F., van Meijgaard, E., Kadygrov, N., Iles, C., Corre, L., Sandstad, M., Somot, S., Nabat, P., Vautard, R., Levavasseur, G., Schwingshackl, C., Sillmann, J., Kjellström, E., Nikulin, G., Aalbers, E., Lenderink, G., Christensen, O. B., Boberg, F., Sørland, S. L., Demory, M., Bülow, K., Teichmann, C., Warrach-Sagi, K., and Wulfmeyer, V.: Assessment of the European Climate Projections as Simulated by the Large EURO-CORDEX Regional and Global Climate Model Ensemble, J. Geophys. Res.-Atmos., 126, e2019JD032356, https://doi.org/10.1029/2019JD032356, 2021a.
Coppola, E., Raffaele, F., Giorgi, F., Giuliani, G., Xuejie, G., Ciarlo, J. M., Sines, T. R., Torres-Alavez, J. A., Das, S., di Sante, F., Pichelli, E., Glazer, R., Müller, S. K., Abba Omar, S., Ashfaq, M., Bukovsky, M., Im, E.-S., Jacob, D., Teichmann, C., Remedio, A., Remke, T., Kriegsmann, A., Bülow, K., Weber, T., Buntemeyer, L., Sieck, K., and Rechid, D.: Climate hazard indices projections based on CORDEX-CORE, CMIP5 and CMIP6 ensemble, Clim. Dynam., 57, 1293–1383, https://doi.org/10.1007/s00382-021-05640-z, 2021b.
Coppola, E., Giorgi, F., Giuliani, G., Pichelli, E., Ciarlo', J. M., Raffaele, F., Nogherotto, R., Reboita, M. S., Lu, C., Zazulie, N., Vargas-Heinz, L., Cardoso, A. A., and de Leeuw, J.: The Fifth Generation Regional Climate Modeling System, RegCM5: the first CP European wide simulation and validation over the CORDEX-CORE domains, ESS Open Archive, https://doi.org/10.22541/essoar.170542078.80092084/v1, 2024.
Cornes, R. C., van der Schrier, G., van den Besselaar, E. J. M., and Jones, P. D.: An Ensemble Version of the E-OBS Temperature and Precipitation Data Sets, J. Geophys. Res.-Atmos., 123, 9391–9409, https://doi.org/10.1029/2017JD028200, 2018.
Cui, F., Wang, B., Zhang, Q., Tang, H., De Maeyer, P., Hamdi, R., and Dai, L.: Climate change versus land-use change – What affects the ecosystem services more in the forest-steppe ecotone?, Sci. Total Environ., 759, 143525, https://doi.org/10.1016/j.scitotenv.2020.143525, 2021.
Davolio, S., Malguzzi, P., Drofa, O., Mastrangelo, D., and Buzzi, A.: The Piedmont flood of November 1994: a testbed of forecasting capabilities of the CNR-ISAC meteorological model suite, Bull. Atmos. Sci. Technol., 1, 263–282, https://doi.org/10.1007/s42865-020-00015-4, 2020.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J. -J., Park, B. -K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J. -N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Dickinson, R. E., Henderson-Sellers, A., and Kennedy, P. J.: Biosphere-atmosphere Transfer Scheme (BATS) Version 1e as Coupled to the NCAR Community Climate Model (No. NCAR/TN-387+STR), https://doi.org/10.5065/D67W6959, 1993.
Doblas-Reyes, F. J., Sörensson, A. A., Almazroui, M., Dosio, A., Gutowski, W. J., Haarsma, R., Hamdi, R., Hewitson, B., Kwon, W.-T., Lamptey, B. L., Maraun, D., Stephenson, T. S., Takayabu, I., Terray, L., Turner, A., and Zuo, Z.: Linking Global to Regional Climate Change, in: Climate Change 2021 – The Physical Science Basis, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, 1363–1512, https://doi.org/10.1017/9781009157896.012, 2021.
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016.
Fantini, A., Raffaele, F., Torma, C., Bacer, S., Coppola, E., Giorgi, F., Ahrens, B., Dubois, C., Sanchez, E., and Verdecchia, M.: Assessment of multiple daily precipitation statistics in ERA-Interim driven Med-CORDEX and EURO-CORDEX experiments against high resolution observations, Clim. Dynam., 51, 877–900, https://doi.org/10.1007/s00382-016-3453-4, 2018.
Fink, S. and Scheidegger, C.: Effects of barriers on functional connectivity of riparian plant habitats under climate change, Ecol. Eng., 115, 75–90, https://doi.org/10.1016/j.ecoleng.2018.02.010, 2018.
Fletcher Jr., R. J., Hefley, T. J., Robertson, E. P., Zuckerberg, B., McCleery, R. A., and Dorazio, R. M.: A practical guide for combining data to model species distributions, Ecology, 100, 1–15, 2019.
Forister, M. L., Halsch, C. A., Nice, C. C., Fordyce, J. A., Dilts, T. E., Oliver, J. C., Prudic, K. L., Shapiro, A. M., Wilson, J. K., and Glassberg, J.: Fewer butterflies seen by community scientists across the warming and drying landscapes of the American West, Science, 371, 1042–1045, https://doi.org/10.1126/science.abe5585, 2021.
Giorgi, F.: Climate change hot-spots, Geophys. Res. Lett., 33, L08707, https://doi.org/10.1029/2006GL025734, 2006.
Giorgi, F.: Introduction to the special issue: the phase I CORDEX RegCM4 hyper-matrix (CREMA) experiment, Climatic Change, 125, 1–5, https://doi.org/10.1007/s10584-014-1166-4, 2014.
Giorgi, F., Jones, C., and Asrar, G.: Addressing climate information needs at the regional level: The CORDEX framework, World Meteorol. Org. Bull., 58, 175–183, 2009.
Giorgi, F., Im, E.-S., Coppola, E., Diffenbaugh, N. S., Gao, X. J., Mariotti, L., and Shi, Y.: Higher Hydroclimatic Intensity with Global Warming, J. Clim., 24, 5309–5324, https://doi.org/10.1175/2011JCLI3979.1, 2011.
Giorgi, F., Coppola, E., and Raffaele, F.: Threatening levels of cumulative stress due to hydroclimatic extremes in the 21st century, NPJ Clim. Atmos. Sci., 1, 18, https://doi.org/10.1038/s41612-018-0028-6, 2018.
Giorgi, F., Coppola, E., Jacob, D., Teichmann, C., Abba Omar, S., Ashfaq, M., Ban, N., Bülow, K., Bukovsky, M., Buntemeyer, L., Cavazos, T., Ciarlo', J., da Rocha, R. P., Das, S., di Sante, F., Evans, J. P., Gao, X., Giuliani, G., Glazer, R. H., Hoffmann, P., Im, E.-S., Langendijk, G., Lierhammer, L., Llopart, M., Mueller, S., Luna-Nino, R., Nogherotto, R., Pichelli, E., Raffaele, F., Reboita, M., Rechid, D., Remedio, A., Remke, T., Sawadogo, W., Sieck, K., Torres-Alavez, J. A., and Weber, T.: The CORDEX-CORE EXP-I Initiative: Description and Highlight Results from the Initial Analysis, B. Am. Meteorol. Soc., 103, E293–E310, https://doi.org/10.1175/BAMS-D-21-0119.1, 2022.
Giorgi, F., Coppola, E., Giuliani, G., Ciarlo', J. M., Pichelli, E., Nogherotto, R., Raffaele, F., Malguzzi, P., Davolio, S., Stocchi, P., and Drofa, O.: The Fifth Generation Regional Climate Modeling System, RegCM5: Description and Illustrative Examples at Parameterized Convection and Convection-Permitting Resolutions, J. Geophys. Res.-Atmos., 128, e2022JD038199, https://doi.org/10.1029/2022JD038199, 2023.
Gritti, E. S., Smith, B., and Sykes, M. T.: Vulnerability of Mediterranean Basin ecosystems to climate change and invasion by exotic plant species, J. Biogeogr., 33, 145–157, https://doi.org/10.1111/j.1365-2699.2005.01377.x, 2006.
Gullan, P. J. and Cranston, P. S.: The Insects: An Outline of Entomology, 5th Edition, John Wiley & Sons, Inc., Chichester, UK, ISBN 978-1-118-84615-5, 2014.
Gutiérrez, J. M., Jones, R. G., Narisma, G. T., Alves, L. M., Amjad, M., Gorodetskaya, I. V., Grose, M., Klutse, N. A. B., Krakovska, S., Li, J., Martínez-Castro, D., Mearns, L. O., Mernild, S. H., Ngo-Duc, T., Hurk, B. van den, and Yoon, J.-H.: Atlas, in: Climate Change 2021 – The Physical Science Basis, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, 1927–2058, https://doi.org/10.1017/9781009157896.021, 2021.
Gutowski Jr., W. J., Giorgi, F., Timbal, B., Frigon, A., Jacob, D., Kang, H.-S., Raghavan, K., Lee, B., Lennard, C., Nikulin, G., O'Rourke, E., Rixen, M., Solman, S., Stephenson, T., and Tangang, F.: WCRP COordinated Regional Downscaling EXperiment (CORDEX): a diagnostic MIP for CMIP6, Geosci. Model Dev., 9, 4087–4095, https://doi.org/10.5194/gmd-9-4087-2016, 2016.
Haase, C. G., Yang, A., McNyset, K. M., and Blackburn, J. K.: GARPTools: R software for data preparation and model evaluation of GARP models, Ecography, 44, 1790–1796, https://doi.org/10.1111/ecog.05642, 2021.
Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D., and New, M.: A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–2006, J. Geophys. Res.-Atmos., 113, D20119, https://doi.org/10.1029/2008JD010201, 2008.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hiller, A. E., Koo, M. S., Goodman, K. R., Shaw, K. L., O'Grady, P. M., and Gillespie, R. G.: Niche conservatism predominates in adaptive radiation: comparing the diversification of Hawaiian arthropods using ecological niche modelling, Biol. J. Linn. Soc., 127, 479–492, https://doi.org/10.1093/biolinnean/blz023, 2019.
Høye, T. T. and Forchhammer, M. C.: The influence of weather conditions on the activity of high-arctic arthropods inferred from long-term observations, BMC Ecol., 8, 8, https://doi.org/10.1186/1472-6785-8-8, 2008.
iNaturalist community: Complete Research Grade Observations of Polyommatus celina, https://www.inaturalist.org, (last access: 11 August 2023), 2023.
IPCC: Climate Change 2021 – The Physical Science Basis, Cambridge University Press, https://doi.org/10.1017/9781009157896, 2023.
Jacob, D.: A note to the simulation of the annual and inter-annual variability of the water budget over the Baltic Sea drainage basin, Meteorol. Atmos. Phys., 77, 61–73, https://doi.org/10.1007/s007030170017, 2001.
Jacob, D., Elizalde, A., Haensler, A., Hagemann, S., Kumar, P., Podzun, R., Rechid, D., Remedio, A. R., Saeed, F., Sieck, K., Teichmann, C., and Wilhelm, C.: Assessing the Transferability of the Regional Climate Model REMO to Different COordinated Regional Climate Downscaling EXperiment (CORDEX) Regions, Atmosphere, 3, 181–199, https://doi.org/10.3390/atmos3010181, 2012.
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer, L. M., Braun, A., Colette, A., Déqué, M., Georgievski, G., Georgopoulou, E., Gobiet, A., Menut, L., Nikulin, G., Haensler, A., Hempelmann, N., Jones, C., Keuler, K., Kovats, S., Kröner, N., Kotlarski, S., Kriegsmann, A., Martin, E., van Meijgaard, E., Moseley, C., Pfeifer, S., Preuschmann, S., Radermacher, C., Radtke, K., Rechid, D., Rounsevell, M., Samuelsson, P., Somot, S., Soussana, J.-F., Teichmann, C., Valentini, R., Vautard, R., Weber, B., and Yiou, P.: EURO-CORDEX: new high-resolution climate change projections for European impact research, Reg. Environ. Change, 14, 563–578, https://doi.org/10.1007/s10113-013-0499-2, 2014.
Jacob, D., Teichmann, C., Sobolowski, S., Katragkou, E., Anders, I., Belda, M., Benestad, R., Boberg, F., Buonomo, E., Cardoso, R. M., Casanueva, A., Christensen, O. B., Christensen, J. H., Coppola, E., De Cruz, L., Davin, E. L., Dobler, A., Domínguez, M., Fealy, R., Fernandez, J., Gaertner, M. A., García-Díez, M., Giorgi, F., Gobiet, A., Goergen, K., Gómez-Navarro, J. J., Alemán, J. J. G., Gutiérrez, C., Gutiérrez, J. M., Güttler, I., Haensler, A., Halenka, T., Jerez, S., Jiménez-Guerrero, P., Jones, R. G., Keuler, K., Kjellström, E., Knist, S., Kotlarski, S., Maraun, D., van Meijgaard, E., Mercogliano, P., Montávez, J. P., Navarra, A., Nikulin, G., de Noblet-Ducoudré, N., Panitz, H.-J., Pfeifer, S., Piazza, M., Pichelli, E., Pietikäinen, J.-P., Prein, A. F., Preuschmann, S., Rechid, D., Rockel, B., Romera, R., Sánchez, E., Sieck, K., Soares, P. M. M., Somot, S., Srnec, L., Sørland, S. L., Termonia, P., Truhetz, H., Vautard, R., Warrach-Sagi, K., and Wulfmeyer, V.: Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community, Reg. Environ. Change, 20, 51, https://doi.org/10.1007/s10113-020-01606-9, 2020.
Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., and Kessler, M.: Climatologies at high resolution for the earth's land surface areas, Sci. Data, 4, 170122, https://doi.org/10.1038/sdata.2017.122, 2017.
Khan, S. U., Ogden, N. H., Fazil, A. A., Gachon, P. H., Dueymes, G. U., Greer, A. L., and Ng, V.: Current and Projected Distributions of Aedes aegypti and Ae. albopictus in Canada and the U.S., Environ. Health Persp., 128, 057007, https://doi.org/10.1289/EHP5899, 2020.
Kotlarski, S., Keuler, K., Christensen, O. B., Colette, A., Déqué, M., Gobiet, A., Goergen, K., Jacob, D., Lüthi, D., van Meijgaard, E., Nikulin, G., Schär, C., Teichmann, C., Vautard, R., Warrach-Sagi, K., and Wulfmeyer, V.: Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble, Geosci. Model Dev., 7, 1297–1333, https://doi.org/10.5194/gmd-7-1297-2014, 2014.
Kotze, D. J., Lowe, E. C., MacIvor, J. S., Ossola, A., Norton, B. A., Hochuli, D. F., Mata, L., Moretti, M., Gagné, S. A., Handa, I. T., Jones, T. M., Threlfall, C. G., and Hahs, A. K.: Urban forest invertebrates: how they shape and respond to the urban environment, Urban Ecosyst., 25, 1589–1609, https://doi.org/10.1007/s11252-022-01240-9, 2022.
Lionello, P. and Scarascia, L.: The relation between climate change in the Mediterranean region and global warming, Reg. Environ. Change, 18, 1481–1493, https://doi.org/10.1007/s10113-018-1290-1, 2018.
Maleque, M. A., Ishii, H. T., and Maeto, K.: The Use of Arthropods as Indicators of Ecosystem Integrity in Forest Management, J. Forest., 104, 113–117, https://doi.org/10.1093/jof/104.3.113, 2006.
Malguzzi, P., Grossi, G., Buzzi, A., Ranzi, R., and Buizza, R.: The 1966 “century” flood in Italy: A meteorological and hydrological revisitation, J. Geophys. Res.-Atmos., 111, D24106, https://doi.org/10.1029/2006JD007111, 2006.
Mammola, S., Pétillon, J., Hacala, A., Monsimet, J., Marti, S., Cardoso, P., and Lafage, D.: Challenges and opportunities of species distribution modelling of terrestrial arthropod predators, Divers. Distrib., 27, 2596–2614, https://doi.org/10.1111/ddi.13434, 2021.
Mauri, A., Girardello, M., Strona, G., Beck, P. S. A., Forzieri, G., Caudullo, G., Manca, F., and Cescatti, A.: EU-Trees4F, a dataset on the future distribution of European tree species, Sci. Data, 9, 37, https://doi.org/10.1038/s41597-022-01128-5, 2022.
Meehl, G. A., Boer, G. J., Covey, C., Latif, M., and Stouffer, R. J.: Intercomparison makes for a better climate model, Eos, Transactions American Geophysical Union, 78, 445–451, https://doi.org/10.1029/97EO00276, 1997.
Meehl, G. A., Boer, G. J., Covey, C., Latif, M., and Stouffer, R. J.: The Coupled Model Intercomparison Project (CMIP), B. Am. Meteorol. Soc., 81, 313–318, https://doi.org/10.1175/1520-0477(2000)081<0313:TCMIPC>2.3.CO;2, 2000.
Meehl, G. A., Covey, C., Delworth, T., Latif, M., McAvaney, B., Mitchell, J. F. B., Stouffer, R. J., and Taylor, K. E.: THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research, B. Am. Meteorol. Soc., 88, 1383–1394, https://doi.org/10.1175/BAMS-88-9-1383, 2007.
Molina, M. O., Careto, J. A. M., Gutiérrez, C., Sánchez, E., and Soares, P. M. M.: The added value of high-resolution EURO-CORDEX simulations to describe daily wind speed over Europe, Int. J. Climatol., 43, 1062–1078, https://doi.org/10.1002/joc.7877, 2023.
Mugumaarhahama, Y., Fandohan, A. B., and Glèlè Kakaï, R. L.: Performance of inhomogeneous Poisson point process models under different scenarios of uncertainty in species presence-only data, Environ. Syst. Res., 12, 27, https://doi.org/10.1186/s40068-023-00312-9, 2023.
Mullin, V. E., Stephen, W., Arce, A. N., Nash, W., Raine, C., Notton, D. G., Whiffin, A., Blagderov, V., Gharbi, K., Hogan, J., Hunter, T., Irish, N., Jackson, S., Judd, S., Watkins, C., Haerty, W., Ollerton, J., Brace, S., Gill, R. J., and Barnes, I.: First large-scale quantification study of DNA preservation in insects from natural history collections using genome-wide sequencing, Method. Ecol. Evol., 14, 360–371, https://doi.org/10.1111/2041-210X.13945, 2023.
Nabat, P., Somot, S., Cassou, C., Mallet, M., Michou, M., Bouniol, D., Decharme, B., Drugé, T., Roehrig, R., and Saint-Martin, D.: Modulation of radiative aerosols effects by atmospheric circulation over the Euro-Mediterranean region, Atmos. Chem. Phys., 20, 8315–8349, https://doi.org/10.5194/acp-20-8315-2020, 2020.
Nogherotto, R., Tompkins, A. M., Giuliani, G., Coppola, E., and Giorgi, F.: Numerical framework and performance of the new multiple-phase cloud microphysics scheme in RegCM4.5: precipitation, cloud microphysics, and cloud radiative effects, Geosci. Model Dev., 9, 2533–2547, https://doi.org/10.5194/gmd-9-2533-2016, 2016.
Outhwaite, C. L., McCann, P., and Newbold, T.: Agriculture and climate change are reshaping insect biodiversity worldwide, Nature, 605, 97–102, https://doi.org/10.1038/s41586-022-04644-x, 2022.
Phillips, S. J., Dudík, M., and Schapire, R. E.: A maximum entropy approach to species distribution modeling, in: Twenty-first international conference on Machine learning – ICML '04, 83 pp., https://doi.org/10.1145/1015330.1015412, 2004.
Pichelli, E., Coppola, E., Sobolowski, S., Ban, N., Giorgi, F., Stocchi, P., Alias, A., Belušić, D., Berthou, S., Caillaud, C., Cardoso, R. M., Chan, S., Christensen, O. B., Dobler, A., de Vries, H., Goergen, K., Kendon, E. J., Keuler, K., Lenderink, G., Lorenz, T., Mishra, A. N., Panitz, H.-J., Schär, C., Soares, P. M. M., Truhetz, H., and Vergara-Temprado, J.: The first multi-model ensemble of regional climate simulations at kilometer-scale resolution part 2: historical and future simulations of precipitation, Clim. Dynam., 56, 3581–3602, https://doi.org/10.1007/s00382-021-05657-4, 2021.
Potts, S. G., Imperatriz-Fonseca, V., Ngo, H. T., Aizen, M. A., Biesmeijer, J. C., Breeze, T. D., Dicks, L. V., Garibaldi, L. A., Hill, R., Settele, J., and Vanbergen, A. J.: Safeguarding pollinators and their values to human well-being, Nature, 540, 220–229, https://doi.org/10.1038/nature20588, 2016.
Prein, A. F., Gobiet, A., Truhetz, H., Keuler, K., Goergen, K., Teichmann, C., Fox Maule, C., van Meijgaard, E., Déqué, M., Nikulin, G., Vautard, R., Colette, A., Kjellström, E., and Jacob, D.: Precipitation in the EURO-CORDEX 0.11 and 0.44 simulations: high resolution, high benefits?, Clim. Dynam., 46, 383–412, https://doi.org/10.1007/s00382-015-2589-y, 2016.
Putman, R. J. and Wratten, S. D.: The Concept of the Niche, in: Principles of Ecology, Springer Netherlands, Dordrecht, 105–126, https://doi.org/10.1007/978-94-011-6948-6_6, 1984.
Ranasinghe, R., Ruane, A. C., Vautard, R., Arnell, N., Coppola, E., Cruz, F. A., Dessai, S., Islam, A. S., Rahimi, M., Ruiz Carrascal, D., Sillmann, J., Sylla, M. B., Tebaldi, C., Wang, W., and Zaaboul, R.: Climate Change Information for Regional Impact and for Risk Assessment, in: Climate Change 2021 – The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson- Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, 1767–1926, https://doi.org/10.1017/9781009157896.014, 2021.
Raven, P. H. and Wagner, D. L.: Agricultural intensification and climate change are rapidly decreasing insect biodiversity, P. Natl. Acad. Sci. USA, 118, e2002548117, https://doi.org/10.1073/pnas.2002548117, 2021.
Reale, M., Cabos Narvaez, W. D., Cavicchia, L., Conte, D., Coppola, E., Flaounas, E., Giorgi, F., Gualdi, S., Hochman, A., Li, L., Lionello, P., Podrascanin, Z., Salon, S., Sanchez-Gomez, E., Scoccimarro, E., Sein, D. V., and Somot, S.: Future projections of Mediterranean cyclone characteristics using the Med-CORDEX ensemble of coupled regional climate system models, Clim. Dynam., 58, 2501–2524, https://doi.org/10.1007/s00382-021-06018-x, 2022.
Rundel, P. W. and Gibson, A. C.: Arthropods, in: Ecological Communities and Processes in a Mojave Desert Ecosystem, Cambridge University Press, Cambridge, 214–255, ISBN 9780521021418, 1996.
Santos, F. D., Stigter, T. Y., Faysse, N., and Lourenço, T. C.: Impacts and adaptation to climate change in the Mediterranean coastal areas: the CIRCLE-MED initiative, Reg. Environ. Change, 14, 1–3, https://doi.org/10.1007/s10113-013-0551-2, 2014.
Schowalter, T. D.: Insect Ecology: An Ecosystem Approach, 5th Edition, Elsevier Inc., London, UK, ISBN 9780323856737, 2022.
Schwingshackl, C., Sillmann, J., Vicedo-Cabrera, A. M., Sandstad, M., and Aunan, K.: Heat Stress Indicators in CMIP6: Estimating Future Trends and Exceedances of Impact-Relevant Thresholds, Earths Future, 9, e2020EF001885, https://doi.org/10.1029/2020EF001885, 2021.
Sillero, N., Campos, J. C., Arenas-Castro, S., and Barbosa, A. M.: A curated list of R packages for ecological niche modelling, Ecol. Modell., 476, 110242, https://doi.org/10.1016/j.ecolmodel.2022.110242, 2023.
Somot, S., Ruti, P., Ahrens, B., Coppola, E., Jordà, G., Sannino, G., and Solmon, F.: Editorial for the Med-CORDEX special issue, Clim. Dynam., 51, 771–777, https://doi.org/10.1007/s00382-018-4325-x, 2018.
Sørland, S. L., Brogli, R., Pothapakula, P. K., Russo, E., Van de Walle, J., Ahrens, B., Anders, I., Bucchignani, E., Davin, E. L., Demory, M.-E., Dosio, A., Feldmann, H., Früh, B., Geyer, B., Keuler, K., Lee, D., Li, D., van Lipzig, N. P. M., Min, S.-K., Panitz, H.-J., Rockel, B., Schär, C., Steger, C., and Thiery, W.: COSMO-CLM regional climate simulations in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework: a review, Geosci. Model Dev., 14, 5125–5154, https://doi.org/10.5194/gmd-14-5125-2021, 2021.
Strandberg, G., Bärring, L., Hansson, U., Jansson, C., Jones, C., Kjellström, E., Kupiainen, M., Nikulin, G., Samuelsson, P., and Ullerstig, A.: CORDEX scenarios for Europe from the Rossby Centre regional climate model RCA4, SMHI, https://www.diva-portal.org/smash/record.jsf?pid=diva2:948136&dswid=8110 (last access: 14 August 2025), 2015.
Sylla, M. B., Faye, A., Giorgi, F., Diedhiou, A., and Kunstmann, H.: Projected Heat Stress Under 1.5 °C and 2 °C Global Warming Scenarios Creates Unprecedented Discomfort for Humans in West Africa, Earths Future, 6, 1029–1044, https://doi.org/10.1029/2018EF000873, 2018.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: 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, 2012.
Teichmann, C., Jacob, D., Remedio, A. R., Remke, T., Buntemeyer, L., Hoffmann, P., Kriegsmann, A., Lierhammer, L., Bülow, K., Weber, T., Sieck, K., Rechid, D., Langendijk, G. S., Coppola, E., Giorgi, F., Ciarlo', J. M., Raffaele, F., Giuliani, G., Xuejie, G., Sines, T. R., Torres-Alavez, J. A., Das, S., Di Sante, F., Pichelli, E., Glazer, R., Ashfaq, M., Bukovsky, M., and Im, E.-S.: Assessing mean climate change signals in the global CORDEX-CORE ensemble, Clim. Dynam., 57, 1269–1292, https://doi.org/10.1007/s00382-020-05494-x, 2021.
Tesfamariam, B. G., Gessesse, B., and Melgani, F.: MaxEnt-based modeling of suitable habitat for rehabilitation of Podocarpus forest at landscape-scale, Environ. Syst. Res., 11, 4, https://doi.org/10.1186/s40068-022-00248-6, 2022.
Uhl, B., Wölfling, M., and Bässler, C.: Mediterranean moth diversity is sensitive to increasing temperatures and drought under climate change, Sci. Rep., 12, 14473, https://doi.org/10.1038/s41598-022-18770-z, 2022.
van Meijgaard, E., van Ulft, L. H., Lenderink, G., de Roode, S. R., Wipfler, E. L., Boers, R., and van Timmermans, R. M. A.: Refinement and Application of a Regional Atmospheric Model for Climate Scenario Calculations of Western Europe, KvR 054/12, https://edepot.wur.nl/312258 (last access: 23 March 2025), 2012.
Vautard, R., Gobiet, A., Jacob, D., Belda, M., Colette, A., Déqué, M., Fernández, J., García-Díez, M., Goergen, K., Güttler, I., Halenka, T., Karacostas, T., Katragkou, E., Keuler, K., Kotlarski, S., Mayer, S., van Meijgaard, E., Nikulin, G., Patarčić, M., Scinocca, J., Sobolowski, S., Suklitsch, M., Teichmann, C., Warrach-Sagi, K., Wulfmeyer, V., and Yiou, P.: The simulation of European heat waves from an ensemble of regional climate models within the EURO-CORDEX project, Clim. Dynam., 41, 2555–2575, https://doi.org/10.1007/s00382-013-1714-z, 2013.
Vautard, R., Kadygrov, N., Iles, C., Boberg, F., Buonomo, E., Bülow, K., Coppola, E., Corre, L., van Meijgaard, E., Nogherotto, R., Sandstad, M., Schwingshackl, C., Somot, S., Aalbers, E., Christensen, O. B., Ciarlo, J. M., Demory, M., Giorgi, F., Jacob, D., Jones, R. G., Keuler, K., Kjellström, E., Lenderink, G., Levavasseur, G., Nikulin, G., Sillmann, J., Solidoro, C., Sørland, S. L., Steger, C., Teichmann, C., Warrach-Sagi, K., and Wulfmeyer, V.: Evaluation of the Large EURO-CORDEX Regional Climate Model Ensemble, J. Geophys. Res.-Atmos., 126, e2019JD032344, https://doi.org/10.1029/2019JD032344, 2021.
Vogel, J., Paton, E., and Aich, V.: Seasonal ecosystem vulnerability to climatic anomalies in the Mediterranean, Biogeosciences, 18, 5903–5927, https://doi.org/10.5194/bg-18-5903-2021, 2021.
Wagner, D. L., Fox, R., Salcido, D. M., and Dyer, L. A.: A window to the world of global insect declines: Moth biodiversity trends are complex and heterogeneous, P. Natl. Acad. Sci. USA, 118, e2002549117, https://doi.org/10.1073/pnas.2002549117, 2021.
Xu, K.-M. and Randall, D. A.: A Semiempirical Cloudiness Parameterization for Use in Climate Models, J. Atmos. Sci., 53, 3084–3102, https://doi.org/10.1175/1520-0469(1996)053<3084:ASCPFU>2.0.CO;2, 1996.
Zattara, E. E. and Aizen, M. A.: Worldwide occurrence records suggest a global decline in bee species richness, One Earth, 4, 114–123, https://doi.org/10.1016/j.oneear.2020.12.005, 2021.
Chief editor
The paper is timely: there is growing interest in the development of approaches to model species distribution and the one presented in this paper is novel, simple, and efficient. The topic is of significance for a broad audience, from ecologists interested in theoretical aspects to conservationists. While the analysis has a regional scope, the approach is generalisable and may be applied elsewhere.
The paper is timely: there is growing interest in the development of approaches to model species...
Short summary
Climate change threatens biodiversity, especially that of arthropods, by altering species' habitats and ecological roles. This study presents a proof of concept for a novel index that models species distributions based on climatic niches, using regional climate model data and focusing on Mediterranean arthropods. The index enables quick assessments of species' climate resilience and offers potential applications for projecting ecological impacts of future climate changes.
Climate change threatens biodiversity, especially that of arthropods, by altering species'...
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