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Severe drought and warming increase the extinction risk of cacti

Source: Nature Published: Science & Research Reprinted 中文
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Nature, Published online: 11 November 2026; doi:10.1038/s41586-026-11265-1 Severe drought and warming will substantially increase the loss of suitable climatic area for cactus species.

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  • IPCC Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC, 2023).
  • Lynch, H. J. et al. How climate extremes—not means—define a species’ geographic range boundary via a demographic tipping point. Ecol. Monogr. 84, 131–149 (2014).Article Google Scholar

Lynch, H. J. et al. How climate extremes—not means—define a species’ geographic range boundary via a demographic tipping point. Ecol. Monogr. 84, 131–149 (2014).

Article Google Scholar

  • Julio Camarero, J., Gazol, A., Sancho-Benages, S. & Sangüesa-Barreda, G. Know your limits? Climate extremes impact the range of Scots pine in unexpected places. Ann. Bot. 116, 917–927 (2015).CAS PubMed PubMed Central Google Scholar

Julio Camarero, J., Gazol, A., Sancho-Benages, S. & Sangüesa-Barreda, G. Know your limits? Climate extremes impact the range of Scots pine in unexpected places. Ann. Bot. 116, 917–927 (2015).

CAS PubMed PubMed Central Google Scholar

  • Germain, S. J. & Lutz, J. A. Climate extremes may be more important than climate means when predicting species range shifts. Clim. Change 163, 579–598 (2020).Article Google Scholar

Germain, S. J. & Lutz, J. A. Climate extremes may be more important than climate means when predicting species range shifts. Clim. Change 163, 579–598 (2020).

Article Google Scholar

  • Stewart, S. B. et al. Climate extreme variables generated using monthly time-series data improve predicted distributions of plant species. Ecography 44, 626–639 (2021).Article Google Scholar

Stewart, S. B. et al. Climate extreme variables generated using monthly time-series data improve predicted distributions of plant species. Ecography 44, 626–639 (2021).

Article Google Scholar

  • Zimmermann, N. E. et al. Climatic extremes improve predictions of spatial patterns of tree species. Proc. Natl Acad. Sci. USA 106, 19723–19728 (2009).Article CAS PubMed PubMed Central Google Scholar

Zimmermann, N. E. et al. Climatic extremes improve predictions of spatial patterns of tree species. Proc. Natl Acad. Sci. USA 106, 19723–19728 (2009).

Article CAS PubMed PubMed Central Google Scholar

  • Harris, R. M. B. et al. Biological responses to the press and pulse of climate trends and extreme events. Nat. Clim. Change 8, 579–587 (2018).Article Google Scholar

Harris, R. M. B. et al. Biological responses to the press and pulse of climate trends and extreme events. Nat. Clim. Change 8, 579–587 (2018).

Article Google Scholar

  • Wethey, D. S. et al. Response of intertidal populations to climate: effects of extreme events versus long term change. J. Exp. Mar. Biol. Ecol. 400, 132–144 (2011).Article Google Scholar

Wethey, D. S. et al. Response of intertidal populations to climate: effects of extreme events versus long term change. J. Exp. Mar. Biol. Ecol. 400, 132–144 (2011).

Article Google Scholar

  • Smale, D. A. & Wernberg, T. Extreme climatic event drives range contraction of a habitat-forming species. Proc. R. Soc. B 280, 20122829 (2013).Article PubMed PubMed Central Google Scholar

Smale, D. A. & Wernberg, T. Extreme climatic event drives range contraction of a habitat-forming species. Proc. R. Soc. B 280, 20122829 (2013).

Article PubMed PubMed Central Google Scholar

  • Araujo, D. S. A. et al. Global future drought layers based on downscaled CMIP6 models and multiple socioeconomic pathways. Sci. Data 12, 295 (2025).Article PubMed PubMed Central Google Scholar

Araujo, D. S. A. et al. Global future drought layers based on downscaled CMIP6 models and multiple socioeconomic pathways. Sci. Data 12, 295 (2025).

Article PubMed PubMed Central Google Scholar

  • Goettsch, B. et al. High proportion of cactus species threatened with extinction. Nat. Plants 1, 15142 (2015).Article CAS PubMed Google Scholar

Goettsch, B. et al. High proportion of cactus species threatened with extinction. Nat. Plants 1, 15142 (2015).

Article CAS PubMed Google Scholar

  • Breshears, D. D. et al. Regional vegetation die-off in response to global-change-type drought. Proc. Natl Acad. Sci. USA 102, 15144–15148 (2005).Article CAS PubMed PubMed Central Google Scholar

Breshears, D. D. et al. Regional vegetation die-off in response to global-change-type drought. Proc. Natl Acad. Sci. USA 102, 15144–15148 (2005).

Article CAS PubMed PubMed Central Google Scholar

  • Smale, D. A. et al. Marine heatwaves threaten global biodiversity and the provision of ecosystem services. Nat. Clim. Change 9, 306–312 (2019).Article Google Scholar

Smale, D. A. et al. Marine heatwaves threaten global biodiversity and the provision of ecosystem services. Nat. Clim. Change 9, 306–312 (2019).

Article Google Scholar

  • Wernberg, T. et al. An extreme climatic event alters marine ecosystem structure in a global biodiversity hotspot. Nat. Clim. Change 3, 78–82 (2013).Article Google Scholar

Wernberg, T. et al. An extreme climatic event alters marine ecosystem structure in a global biodiversity hotspot. Nat. Clim. Change 3, 78–82 (2013).

Article Google Scholar

  • Sabater, S. et al. Extreme weather events threaten biodiversity and functions of river ecosystems: evidence from a meta-analysis. Biol. Rev. 98, 450–461 (2023).Article PubMed Google Scholar

Sabater, S. et al. Extreme weather events threaten biodiversity and functions of river ecosystems: evidence from a meta-analysis. Biol. Rev. 98, 450–461 (2023).

Article PubMed Google Scholar

  • Driscoll, D. A. et al. Biodiversity impacts of the 2019–2020 Australian megafires. Nature 635, 898–905 (2024).Article PubMed PubMed Central Google Scholar

Driscoll, D. A. et al. Biodiversity impacts of the 2019–2020 Australian megafires. Nature 635, 898–905 (2024).

Article PubMed PubMed Central Google Scholar

  • Allen, C. D., Breshears, D. D. & McDowell, N. G. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere 6, 1–55 (2015).Article Google Scholar

Allen, C. D., Breshears, D. D. & McDowell, N. G. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere 6, 1–55 (2015).

Article Google Scholar

  • May, R. Unanswered questions in ecology. Philos. Trans. R. Soc. Lond. B 354, 1951–1959 (1999).Article CAS Google Scholar

May, R. Unanswered questions in ecology. Philos. Trans. R. Soc. Lond. B 354, 1951–1959 (1999).

Article CAS Google Scholar

  • Gaston, K. J. Geographic range limits: achieving synthesis. Proc. R. Soc. B 276, 1395–1406 (2009).Article PubMed PubMed Central Google Scholar

Gaston, K. J. Geographic range limits: achieving synthesis. Proc. R. Soc. B 276, 1395–1406 (2009).

Article PubMed PubMed Central Google Scholar

  • Darwin, C. On the Origin of Species (John Murray, 1859).
  • MacArthur, R. H. Geographical Ecology: Patterns in the Distribution of Species (Princeton Univ. Press, 1972).
  • Sexton, J. P., McIntyre, P. J., Angert, A. L. & Rice, K. J. Evolution and ecology of species range limits. Annu. Rev. Ecol. Evol. Syst. 40, 415–436 (2009).Article Google Scholar

Sexton, J. P., McIntyre, P. J., Angert, A. L. & Rice, K. J. Evolution and ecology of species range limits. Annu. Rev. Ecol. Evol. Syst. 40, 415–436 (2009).

Article Google Scholar

  • Brown, J. H., Stevens, G. C. & Kaufman, D. M. The geographic range: size, shape, boundaries, and internal structure. Annu. Rev. Ecol. Syst. 27, 597–623 (1996).Article Google Scholar

Brown, J. H., Stevens, G. C. & Kaufman, D. M. The geographic range: size, shape, boundaries, and internal structure. Annu. Rev. Ecol. Syst. 27, 597–623 (1996).

Article Google Scholar

  • Holt, R. D. On the evolutionary ecology of species’ ranges. Evol. Ecol. Res. 5, 159–178 (2003). Google Scholar

Holt, R. D. On the evolutionary ecology of species’ ranges. Evol. Ecol. Res. 5, 159–178 (2003).

Google Scholar

  • Gaston, K. J. Species-range size distributions: products of speciation, extinction and transformation. Philos. Trans. R. Soc. Lond. B 353, 219–230 (1998).Article Google Scholar

Gaston, K. J. Species-range size distributions: products of speciation, extinction and transformation. Philos. Trans. R. Soc. Lond. B 353, 219–230 (1998).

Article Google Scholar

  • Gaston, K. J. Species-range-size distributions: patterns, mechanisms and implications. Trends Ecol. Evol. 11, 197–201 (1996).Article CAS PubMed Google Scholar

Gaston, K. J. Species-range-size distributions: patterns, mechanisms and implications. Trends Ecol. Evol. 11, 197–201 (1996).

Article CAS PubMed Google Scholar

  • Hutchinson, G. E. Concluding remarks. Cold Spring Harb. Symp. Quant. Biol. 22, 415–427 (1957).Article Google Scholar

Hutchinson, G. E. Concluding remarks. Cold Spring Harb. Symp. Quant. Biol. 22, 415–427 (1957).

Article Google Scholar

  • Whittaker, R. H. Communities and Ecosystems (Macmillan, 1975).
  • Parmesan, C. Ecological and evolutionary responses to recent climate change. Annu. Rev. Ecol. Evol. Syst. 37, 637–669 (2006).Article Google Scholar

Parmesan, C. Ecological and evolutionary responses to recent climate change. Annu. Rev. Ecol. Evol. Syst. 37, 637–669 (2006).

Article Google Scholar

  • Parmesan, C. & Yohe, G. A globally coherent fingerprint of climate change impacts across natural systems. Nature 421, 37–42 (2003).Article CAS PubMed Google Scholar

Parmesan, C. & Yohe, G. A globally coherent fingerprint of climate change impacts across natural systems. Nature 421, 37–42 (2003).

Article CAS PubMed Google Scholar

  • Walther, G.-R. et al. Ecological responses to recent climate change. Nature 416, 389–395 (2002).Article CAS PubMed Google Scholar

Walther, G.-R. et al. Ecological responses to recent climate change. Nature 416, 389–395 (2002).

Article CAS PubMed Google Scholar

  • McCarty, J. P. Ecological consequences of recent climate change. Conserv. Biol. 15, 320–331 (2001).Article Google Scholar

McCarty, J. P. Ecological consequences of recent climate change. Conserv. Biol. 15, 320–331 (2001).

Article Google Scholar

  • Broska, L. H., Poganietz, W.-R. & Vögele, S. Extreme events defined—a conceptual discussion applying a complex systems approach. Futures 115, 102490 (2020).Article Google Scholar

Broska, L. H., Poganietz, W.-R. & Vögele, S. Extreme events defined—a conceptual discussion applying a complex systems approach. Futures 115, 102490 (2020).

Article Google Scholar

  • Jentsch, A., Kreyling, J. & Beierkuhnlein, C. A new generation of climate-change experiments: events, not trends. Front. Ecol. Environ. 5, 365–374 (2007).Article Google Scholar

Jentsch, A., Kreyling, J. & Beierkuhnlein, C. A new generation of climate-change experiments: events, not trends. Front. Ecol. Environ. 5, 365–374 (2007).

Article Google Scholar

  • Gutschick, V. P. & BassiriRad, H. Extreme events as shaping physiology, ecology, and evolution of plants: toward a unified definition and evaluation of their consequences. New Phytol. 160, 21–42 (2003).Article PubMed Google Scholar

Gutschick, V. P. & BassiriRad, H. Extreme events as shaping physiology, ecology, and evolution of plants: toward a unified definition and evaluation of their consequences. New Phytol. 160, 21–42 (2003).

Article PubMed Google Scholar

  • Katz, R. W., Brush, G. S. & Parlange, M. B. Statistics of extremes: modeling ecological disturbances. Ecology 86, 1124–1134 (2005).Article Google Scholar

Katz, R. W., Brush, G. S. & Parlange, M. B. Statistics of extremes: modeling ecological disturbances. Ecology 86, 1124–1134 (2005).

Article Google Scholar

  • Quillet, A., Peng, C. & Garneau, M. Toward dynamic global vegetation models for simulating vegetation-climate interactions and feedbacks: recent developments, limitations, and future challenges. Environ. Rev. 18, 333–353 (2010).Article Google Scholar

Quillet, A., Peng, C. & Garneau, M. Toward dynamic global vegetation models for simulating vegetation-climate interactions and feedbacks: recent developments, limitations, and future challenges. Environ. Rev. 18, 333–353 (2010).

Article Google Scholar

  • Merow, C. et al. On using integral projection models to generate demographically driven predictions of species’ distributions: development and validation using sparse data. Ecography 37, 1167–1183 (2014).Article Google Scholar

Merow, C. et al. On using integral projection models to generate demographically driven predictions of species’ distributions: development and validation using sparse data. Ecography 37, 1167–1183 (2014).

Article Google Scholar

  • Rypkema, D. C., Horvitz, C. C. & Tuljapurkar, S. How climate affects extreme events and hence ecological population models. Ecology 100, e02684 (2019).Article PubMed Google Scholar

Rypkema, D. C., Horvitz, C. C. & Tuljapurkar, S. How climate affects extreme events and hence ecological population models. Ecology 100, e02684 (2019).

Article PubMed Google Scholar

  • Frederiksen, M., Daunt, F., Harris, M. P. & Wanless, S. The demographic impact of extreme events: stochastic weather drives survival and population dynamics in a long-lived seabird. J. Anim. Ecol. 77, 1020–1029 (2008).Article CAS PubMed Google Scholar

Frederiksen, M., Daunt, F., Harris, M. P. & Wanless, S. The demographic impact of extreme events: stochastic weather drives survival and population dynamics in a long-lived seabird. J. Anim. Ecol. 77, 1020–1029 (2008).

Article CAS PubMed Google Scholar

  • Salguero-Gómez, R., Siewert, W., Casper, B. B. & Tielbörger, K. A demographic approach to study effects of climate change in desert plants. Philos. Trans. R. Soc. Lond. B 367, 3100–3114 (2012).Article Google Scholar

Salguero-Gómez, R., Siewert, W., Casper, B. B. & Tielbörger, K. A demographic approach to study effects of climate change in desert plants. Philos. Trans. R. Soc. Lond. B 367, 3100–3114 (2012).

Article Google Scholar

  • Evans, M. E. K., Merow, C., Record, S., McMahon, S. M. & Enquist, B. J. Towards process-based range modeling of many species. Trends Ecol. Evol. 31, 860–871 (2016).Article PubMed Google Scholar

Evans, M. E. K., Merow, C., Record, S., McMahon, S. M. & Enquist, B. J. Towards process-based range modeling of many species. Trends Ecol. Evol. 31, 860–871 (2016).

Article PubMed Google Scholar

  • Bateman, B. L., VanDerWal, J. & Johnson, C. N. Nice weather for bettongs: using weather events, not climate means, in species distribution models. Ecography 35, 306–314 (2012).Article Google Scholar

Bateman, B. L., VanDerWal, J. & Johnson, C. N. Nice weather for bettongs: using weather events, not climate means, in species distribution models. Ecography 35, 306–314 (2012).

Article Google Scholar

  • Rasztovits, E. et al. The incorporation of extreme drought events improves models for beech persistence at its distribution limit. Ann. For. Sci. 71, 201–210 (2014).Article Google Scholar

Rasztovits, E. et al. The incorporation of extreme drought events improves models for beech persistence at its distribution limit. Ann. For. Sci. 71, 201–210 (2014).

Article Google Scholar

  • Morán-Ordóñez, A., Briscoe, N. J. & Wintle, B. A. Modelling species responses to extreme weather provides new insights into constraints on range and likely climate change impacts for Australian mammals. Ecography 41, 308–320 (2018).Article Google Scholar

Morán-Ordóñez, A., Briscoe, N. J. & Wintle, B. A. Modelling species responses to extreme weather provides new insights into constraints on range and likely climate change impacts for Australian mammals. Ecography 41, 308–320 (2018).

Article Google Scholar

  • Fonteyn, W., Serra-Diaz, J. M., Muys, B. & Van Meerbeek, K. Incorporating climatic extremes using the GEV distribution improves SDM range edge performance. J. Biogeogr. 52, 780–791 (2025).Article Google Scholar

Fonteyn, W., Serra-Diaz, J. M., Muys, B. & Van Meerbeek, K. Incorporating climatic extremes using the GEV distribution improves SDM range edge performance. J. Biogeogr. 52, 780–791 (2025).

Article Google Scholar

  • Korotkova, N. et al. Cactaceae at Caryophyllales.org—a dynamic online species-level taxonomic backbone for the family. Willdenowia 51, 251–270 (2021).Article Google Scholar

Korotkova, N. et al. Cactaceae at Caryophyllales.org—a dynamic online species-level taxonomic backbone for the family. Willdenowia 51, 251–270 (2021).

Article Google Scholar

  • Margulies, J. D., Moorman, F. R., Goettsch, B., Axmacher, J. C. & Hinsley, A. Prevalence and perspectives of illegal trade in cacti and succulent plants in the collector community. Conserv. Biol. 37, e14030 (2023).Article PubMed Google Scholar

Margulies, J. D., Moorman, F. R., Goettsch, B., Axmacher, J. C. & Hinsley, A. Prevalence and perspectives of illegal trade in cacti and succulent plants in the collector community. Conserv. Biol. 37, e14030 (2023).

Article PubMed Google Scholar

  • Villalobo-Lopez, A. et al. Effects of trade and poaching pressure on extinction risk for cacti in the Atacama Desert. Conserv. Biol. 38, e14353 (2024).Article PubMed Google Scholar

Villalobo-Lopez, A. et al. Effects of trade and poaching pressure on extinction risk for cacti in the Atacama Desert. Conserv. Biol. 38, e14353 (2024).

Article PubMed Google Scholar

  • Pillet, M. et al. Elevated extinction risk of cacti under climate change. Nat. Plants 8, 366–372 (2022).Article PubMed Google Scholar

Pillet, M. et al. Elevated extinction risk of cacti under climate change. Nat. Plants 8, 366–372 (2022).

Article PubMed Google Scholar

  • Hultine, K. R. et al. Global change impacts on cacti (Cactaceae): current threats, challenges and conservation solutions. Ann. Bot. 132, 671–683 (2023).Article CAS PubMed PubMed Central Google Scholar

Hultine, K. R. et al. Global change impacts on cacti (Cactaceae): current threats, challenges and conservation solutions. Ann. Bot. 132, 671–683 (2023).

Article CAS PubMed PubMed Central Google Scholar

  • Calvente, A. et al. Spiny but photogenic: amateur sightings complement herbarium specimens to reveal the bioregions of cacti. Am. J. Bot. 110, e16235 (2023).Article PubMed Google Scholar

Calvente, A. et al. Spiny but photogenic: amateur sightings complement herbarium specimens to reveal the bioregions of cacti. Am. J. Bot. 110, e16235 (2023).

Article PubMed Google Scholar

  • Schoener, T. W. The Anolis lizards of Bimini: resource partitioning in a complex fauna. Ecology 49, 704–726 (1968).Article Google Scholar

Schoener, T. W. The Anolis lizards of Bimini: resource partitioning in a complex fauna. Ecology 49, 704–726 (1968).

Article Google Scholar

  • Warren, D. L., Glor, R. E., Turelli, M. & Funk, D. Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution. Evolution 62, 2868–2883 (2008).Article PubMed Google Scholar

Warren, D. L., Glor, R. E., Turelli, M. & Funk, D. Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution. Evolution 62, 2868–2883 (2008).

Article PubMed Google Scholar

  • Félix-Burruel, R. E., Larios, E., González, E. J. & Búrquez, A. Population decline of the saguaro cactus throughout its distribution is associated with climate change. Ann. Bot. 135, 317–328 (2025).Article Google Scholar

Félix-Burruel, R. E., Larios, E., González, E. J. & Búrquez, A. Population decline of the saguaro cactus throughout its distribution is associated with climate change. Ann. Bot. 135, 317–328 (2025).

Article Google Scholar

  • Aragón, L. & Lasso, E. How do young cacti (seeds and seedlings) from tropical xeric environments cope with extended drought periods? J. Arid. Environ. 154, 1–7 (2018). Google Scholar

Aragón, L. & Lasso, E. How do young cacti (seeds and seedlings) from tropical xeric environments cope with extended drought periods? J. Arid. Environ. 154, 1–7 (2018).

Google Scholar

  • Shryock, D. F., Esque, T. C. & Hughes, L. Population viability of Pediocactus bradyi (Cactaceae) in a changing climate. Am. J. Bot. 101, 1944–1953 (2014).Article PubMed Google Scholar

Shryock, D. F., Esque, T. C. & Hughes, L. Population viability of Pediocactus bradyi (Cactaceae) in a changing climate. Am. J. Bot. 101, 1944–1953 (2014).

Article PubMed Google Scholar

  • Bobich, E. G., Wallace, N. L. & Sartori, K. L. Cholla mortality and extreme drought in the Sonoran Desert. Madroño 61, 126–136 (2014).Article Google Scholar

Bobich, E. G., Wallace, N. L. & Sartori, K. L. Cholla mortality and extreme drought in the Sonoran Desert. Madroño 61, 126–136 (2014).

Article Google Scholar

  • McIntosh, M. E., Boyd, A. E., Arnold, A. E., Steidl, R. J. & McDade, L. A. Growth and demography of a declining, endangered cactus in the Sonoran Desert. Plant Species Biol. 35, 6–15 (2020).Article Google Scholar

McIntosh, M. E., Boyd, A. E., Arnold, A. E., Steidl, R. J. & McDade, L. A. Growth and demography of a declining, endangered cactus in the Sonoran Desert. Plant Species Biol. 35, 6–15 (2020).

Article Google Scholar

  • Bornean Elephant Endangered—IUCN Red List https://iucn.org/press-release/202406/bornean-elephant-endangered-iucn-red-list (IUCN, 2024).
  • Vásquez-Cruz, M. et al. Evolutionary origins, macroevolutionary dynamics, and climatic niche space of the succulent plant syndrome in the Caryophyllales. J. Exp. Bot. 76, 576–593 (2025).Article PubMed Google Scholar

Vásquez-Cruz, M. et al. Evolutionary origins, macroevolutionary dynamics, and climatic niche space of the succulent plant syndrome in the Caryophyllales. J. Exp. Bot. 76, 576–593 (2025).

Article PubMed Google Scholar

  • Austin, M. P. & Van Niel, K. P. Improving species distribution models for climate change studies: variable selection and scale. J. Biogeogr. 38, 1–8 (2011).Article Google Scholar

Austin, M. P. & Van Niel, K. P. Improving species distribution models for climate change studies: variable selection and scale. J. Biogeogr. 38, 1–8 (2011).

Article Google Scholar

  • Thompson, J. B., Hernández-Hernández, T., Keeling, G., Vásquez-Cruz, M. & Priest, N. K. Identifying the multiple drivers of cactus diversification. Nat. Commun. 15, 7282 (2024).Article CAS PubMed PubMed Central Google Scholar

Thompson, J. B., Hernández-Hernández, T., Keeling, G., Vásquez-Cruz, M. & Priest, N. K. Identifying the multiple drivers of cactus diversification. Nat. Commun. 15, 7282 (2024).

Article CAS PubMed PubMed Central Google Scholar

  • Rellstab, C., Gugerli, F., Eckert, A. J., Hancock, A. M. & Holderegger, R. A practical guide to environmental association analysis in landscape genomics. Mol. Ecol. 24, 4348–4370 (2015).Article PubMed Google Scholar

Rellstab, C., Gugerli, F., Eckert, A. J., Hancock, A. M. & Holderegger, R. A practical guide to environmental association analysis in landscape genomics. Mol. Ecol. 24, 4348–4370 (2015).

Article PubMed Google Scholar

  • Gérard, M., Vanderplanck, M., Wood, T. & Michez, D. Global warming and plant-pollinator mismatches. Emerg. Top. Life Sci. 4, 77–86 (2020).Article PubMed PubMed Central Google Scholar

Gérard, M., Vanderplanck, M., Wood, T. & Michez, D. Global warming and plant-pollinator mismatches. Emerg. Top. Life Sci. 4, 77–86 (2020).

Article PubMed PubMed Central Google Scholar

  • Dormann, C. F. et al. Correlation and process in species distribution models: bridging a dichotomy. J. Biogeogr. 39, 2119–2131 (2012).Article Google Scholar

Dormann, C. F. et al. Correlation and process in species distribution models: bridging a dichotomy. J. Biogeogr. 39, 2119–2131 (2012).

Article Google Scholar

  • Tourinho, L. & Vale, M. M. Choosing among correlative, mechanistic, and hybrid models of species’ niche and distribution. Integr. Zool. 18, 93–109 (2023).Article CAS PubMed Google Scholar

Tourinho, L. & Vale, M. M. Choosing among correlative, mechanistic, and hybrid models of species’ niche and distribution. Integr. Zool. 18, 93–109 (2023).

Article CAS PubMed Google Scholar

  • Schymanski, S. J. et al. Process, correlation and parameter fitting in species distribution models: a response to Kriticos et al. J. Biogeogr. 40, 612–613 (2013).Article Google Scholar

Schymanski, S. J. et al. Process, correlation and parameter fitting in species distribution models: a response to Kriticos et al. J. Biogeogr. 40, 612–613 (2013).

Article Google Scholar

  • Wiens, J. J. & Zelinka, J. How many species will Earth lose to climate change? Glob. Change Biol. 30, e17125 (2024).Article CAS Google Scholar

Wiens, J. J. & Zelinka, J. How many species will Earth lose to climate change? Glob. Change Biol. 30, e17125 (2024).

Article CAS Google Scholar

  • Huang, J., Yu, H., Dai, A., Wei, Y. & Kang, L. Drylands face potential threat under 2 °C global warming target. Nat. Clim. Change 7, 417–422 (2017).Article Google Scholar

Huang, J., Yu, H., Dai, A., Wei, Y. & Kang, L. Drylands face potential threat under 2 °C global warming target. Nat. Clim. Change 7, 417–422 (2017).

Article Google Scholar

  • Maitner, B. S. et al. The BIEN R package: a tool to access the Botanical Information and Ecology Network (BIEN) database. Methods Ecol. Evol. 9, 373–379 (2018).
  • Pillet, M. D. et al. iNaturalist occurrence data for “Severe drought and warming increase the extinction risk of cacti”. GBIF https://doi.org/10.15468/dd.6jxctw (2025).
  • Zizka, A. et al. CoordinateCleaner: standardized cleaning of occurrence records from biological collection databases. Methods Ecol. Evol. 10, 744–751 (2019).Article Google Scholar

Zizka, A. et al. CoordinateCleaner: standardized cleaning of occurrence records from biological collection databases. Methods Ecol. Evol. 10, 744–751 (2019).

Article Google Scholar

  • Boyle, B. et al. The taxonomic name resolution service: an online tool for automated standardization of plant names. BMC Bioinform. 14, 16 (2013).Article Google Scholar

Boyle, B. et al. The taxonomic name resolution service: an online tool for automated standardization of plant names. BMC Bioinform. 14, 16 (2013).

Article Google Scholar

  • Boyle, B. L. et al. Taxonomic name resolution service, version 5.3.1 https://tnrs.biendata.org/ (Botanical Information and Ecology Network, 2021).
  • Maitner, B. & Boyle, B. TNRS: Taxonomic Name Resolution Service. R package version 0.3.6 https://CRAN.R-project.org/package=TNRS (2024).
  • Walter, H. E., Cádiz-Véliz, A., Meriño, B. M., Villalobos-Barrantes, H. M. & Guerrero, P. C. Taxonomic dissection based on molecular evidence of the Eriosyce curvispina complex (Cactaceae): identifying nine endemic species from Central Chile. PhytoKeys 237, 117–139 (2024).Article PubMed PubMed Central Google Scholar

Walter, H. E., Cádiz-Véliz, A., Meriño, B. M., Villalobos-Barrantes, H. M. & Guerrero, P. C. Taxonomic dissection based on molecular evidence of the Eriosyce curvispina complex (Cactaceae): identifying nine endemic species from Central Chile. PhytoKeys 237, 117–139 (2024).

Article PubMed PubMed Central Google Scholar

  • South, A. & Massicotte, P. rnaturalearthdata: world vector map data from Natural Earth used in ‘rnaturalearth’. R package version 1.0.0 https://CRAN.R-project.org/package=rnaturalearthdata (2024).
  • Boyle, B. L., Maitner, B., Barbosa, G. C., Rethvick, S. Y. B. & Enquist, B. J. Geographic Name Resolution Service https://gnrs.biendata.org/ (Botanical Information and Ecology Network, 2024).
  • Boyle, B. L. et al. Geographic name resolution service: A tool for the standardization and indexing of world political division names, with applications to species distribution modeling. PLoS ONE 17, e0268162 (2022).Article CAS PubMed PubMed Central Google Scholar

Boyle, B. L. et al. Geographic name resolution service: A tool for the standardization and indexing of world political division names, with applications to species distribution modeling. PLoS ONE 17, e0268162 (2022).

Article CAS PubMed PubMed Central Google Scholar

  • Boyle, B. & Maitner, B. GNRS: access the ‘Geographic Name Resolution Service’. R package version 0.3.4 https://CRAN.R-project.org/package=GNRS (2024).
  • Boyle, B. L., Maitner, B., Barbosa, G. C., Rethvick, S. Y. B. & Enquist, B. J. Native Species Resolver https://nsr.biendata.org/ (Botanical Information and Ecology Network, 2024).
  • Maitner, B. & Boyle, B. NSR: ‘Native Status Resolver’. R package version 0.1.0 https://CRAN.R-project.org/package=NSR (2024).
  • Hunt, D. The New Cactus Lexicon (Dh Books, 2006).
  • The IUCN Red List of Threatened Species. Version 2024-1 https://www.iucnredlist.org (IUCN, 2024).
  • Anderson, E. F. The Cactus Family (Timber Press, 2001).
  • Serra-Diaz, J. M. et al. occTest: an integrated approach for quality control of species occurrence data. Glob. Ecol. Biogeogr. 33, e13847 (2024).Article Google Scholar

Serra-Diaz, J. M. et al. occTest: an integrated approach for quality control of species occurrence data. Glob. Ecol. Biogeogr. 33, e13847 (2024).

Article Google Scholar

  • Poggio, L. et al. SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. SOIL 7, 217–240 (2021).Article CAS Google Scholar

Poggio, L. et al. SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. SOIL 7, 217–240 (2021).

Article CAS Google Scholar

  • Karger, D. N. et al. Climatologies at high resolution for the earth’s land surface areas. Sci. Data 4, 170122 (2017).Article PubMed PubMed Central Google Scholar

Karger, D. N. et al. Climatologies at high resolution for the earth’s land surface areas. Sci. Data 4, 170122 (2017).

Article PubMed PubMed Central Google Scholar

  • Karger, D. N. et al. Data from: Climatologies at high resolution for the earth’s land surface areas. EnviDat https://doi.org/10.16904/envidat.228.v2.1 (2021).
  • Lange, S. ISIMIP3b Bias Adjustment Fact Sheet https://www.isimip.org/documents/413/ISIMIP3b_bias_adjustment_fact_sheet_Gnsz7CO.pdf (ISIMIP, 2021).
  • Vicente-Serrano, S. M., Beguería, S. & López-Moreno, J. I. A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J. Clim. 23, 1696–1718 (2010).Article Google Scholar

Vicente-Serrano, S. M., Beguería, S. & López-Moreno, J. I. A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J. Clim. 23, 1696–1718 (2010).

Article Google Scholar

  • Nwayor, I. J., Robeson, S. M., Ficklin, D. L. & Maxwell, J. T. A multiscalar standardized vapor pressure deficit index for drought monitoring and impacts. Int. J. Climatol. 44, 5825–5838 (2024).Article Google Scholar

Nwayor, I. J., Robeson, S. M., Ficklin, D. L. & Maxwell, J. T. A multiscalar standardized vapor pressure deficit index for drought monitoring and impacts. Int. J. Climatol. 44, 5825–5838 (2024).

Article Google Scholar

  • Aiello-Lammens, M. E., Boria, R. A., Radosavljevic, A., Vilela, B. & Anderson, R. P. spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography 38, 541–545 (2015).Article Google Scholar

Aiello-Lammens, M. E., Boria, R. A., Radosavljevic, A., Vilela, B. & Anderson, R. P. spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography 38, 541–545 (2015).

Article Google Scholar

  • Hijmans, R., Phillips, S., Leathwick, J. & Elith, J. dismo: species distribution modeling. R package version 1.3-16 https://CRAN.R-project.org/package=dismo (2024).
  • Naimi, B., Hamm, N. A. S., Groen, T. A., Skidmore, A. K. & Toxopeus, A. G. Where is positional uncertainty a problem for species distribution modelling? Ecography 37, 191–203 (2014).Article Google Scholar

Naimi, B., Hamm, N. A. S., Groen, T. A., Skidmore, A. K. & Toxopeus, A. G. Where is positional uncertainty a problem for species distribution modelling? Ecography 37, 191–203 (2014).

Article Google Scholar

  • Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M. & Hornik, K. cluster: cluster analysis basics and extensions. R package version 2.1.8.1 https://CRAN.R-project.org/package=cluster (2025).
  • Phillips, S. J. & Dudík, M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31, 161–175 (2008).Article Google Scholar

Phillips, S. J. & Dudík, M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31, 161–175 (2008).

Article Google Scholar

  • Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modeling of species geographic distributions. Ecol. Modell. 190, 231–259 (2006).Article Google Scholar

Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modeling of species geographic distributions. Ecol. Modell. 190, 231–259 (2006).

Article Google Scholar

  • Friedman, J., Tibshirani, R. & Hastie, T. Regularization paths for generalized linear models via coordinate descent. J. Stat. Softw. 33, 1–22 (2010).Article PubMed PubMed Central Google Scholar

Friedman, J., Tibshirani, R. & Hastie, T. Regularization paths for generalized linear models via coordinate descent. J. Stat. Softw. 33, 1–22 (2010).

Article PubMed PubMed Central Google Scholar

  • Tay, J. K., Narasimhan, B. & Hastie, T. Elastic net regularization paths for all generalized linear models. J. Stat. Softw. 106, 1–31 (2023).Article PubMed PubMed Central Google Scholar

Tay, J. K., Narasimhan, B. & Hastie, T. Elastic net regularization paths for all generalized linear models. J. Stat. Softw. 106, 1–31 (2023).

Article PubMed PubMed Central Google Scholar

  • Robin, X. et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinform. 12, 77 (2011).Article Google Scholar

Robin, X. et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinform. 12, 77 (2011).

Article Google Scholar

  • Broennimann, O., Di Cola, V. & Guisan, A. ecospat: spatial ecology miscellaneous methods. R package version 4.1.2 https://CRAN.R-project.org/package=ecospat (2025).
  • Smithson, M. & Verkuilen, J. A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. Psychol. Methods 11, 54–71 (2006).Article PubMed Google Scholar

Smithson, M. & Verkuilen, J. A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. Psychol. Methods 11, 54–71 (2006).

Article PubMed Google Scholar

  • Renner, I. W., Warton, D. I. & Hui, F. K. C. What is the effective sample size of a spatial point process? Aust. N. Z. J. Stat. 63, 144–158 (2021).Article MathSciNet Google Scholar

Renner, I. W., Warton, D. I. & Hui, F. K. C. What is the effective sample size of a spatial point process? Aust. N. Z. J. Stat. 63, 144–158 (2021).

Article MathSciNet Google Scholar

  • Buisson, L., Thuiller, W., Casajus, N., Lek, S. & Grenouillet, G. Uncertainty in ensemble forecasting of species distribution. Glob. Change Biol. 16, 1145–1157 (2010).Article Google Scholar

Buisson, L., Thuiller, W., Casajus, N., Lek, S. & Grenouillet, G. Uncertainty in ensemble forecasting of species distribution. Glob. Change Biol. 16, 1145–1157 (2010).

Article Google Scholar

  • Thuiller, W., Guéguen, M., Renaud, J., Karger, D. N. & Zimmermann, N. E. Uncertainty in ensembles of global biodiversity scenarios. Nat. Commun. 10, 1446 (2019).Article PubMed PubMed Central Google Scholar

Thuiller, W., Guéguen, M., Renaud, J., Karger, D. N. & Zimmermann, N. E. Uncertainty in ensembles of global biodiversity scenarios. Nat. Commun. 10, 1446 (2019).

Article PubMed PubMed Central Google Scholar

  • Kass, J. M. et al. ENMeval 2.0: redesigned for customizable and reproducible modeling of species’ niches and distributions. Methods Ecol. Evol. 12, 1602–1608 (2021).Article Google Scholar

Kass, J. M. et al. ENMeval 2.0: redesigned for customizable and reproducible modeling of species’ niches and distributions. Methods Ecol. Evol. 12, 1602–1608 (2021).

Article Google Scholar

  • R Core Team. R: a language and environment for statistical computing. Version 4.5.1 https://www.R-project.org/ (2025).
  • Hijmans, R. J. terra: spatial data analysis. R package. Version 1.8-70 https://CRAN.R-project.org/package=terra (2025).
  • Brooks, M. E. et al. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9, 378–400 (2017).Article Google Scholar

Brooks, M. E. et al. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9, 378–400 (2017).

Article Google Scholar

  • McGillycuddy, M., Warton, D. I., Popovic, G. & Bolker, B. M. Parsimoniously fitting large multivariate random effects in glmmTMB. J. Stat. Softw. 112, 1–19 (2025).Article Google Scholar

McGillycuddy, M., Warton, D. I., Popovic, G. & Bolker, B. M. Parsimoniously fitting large multivariate random effects in glmmTMB. J. Stat. Softw. 112, 1–19 (2025).

Article Google Scholar

  • Wickham, H. et al. Welcome to the tidyverse. J. Open Source Softw. 4, 1686 (2019).Article Google Scholar

Wickham, H. et al. Welcome to the tidyverse. J. Open Source Softw. 4, 1686 (2019).

Article Google Scholar

  • Bolker, B. & Robinson, D. broom.mixed: tidying methods for mixed models. R package version 0.2.9.6 https://CRAN.R-project.org/package=broom.mixed (2024).
  • Barrett, T. et al. data.table: extension of ‘data.frame’. R package version 1.17.8 https://CRAN.R-project.org/package=data.table (2025).
  • Solt, F. & Hu, Y. dotwhisker: dot-and-whisker plots of regression results. R package version 0.8.4 https://CRAN.R-project.org/package=dotwhisker (2025).
  • Nychka, D., Furrer, R., Paige, J. & Sain, S. fields: tools for spatial data. R package version 17.1 https://github.com/dnychka/fieldsRPackage (2025).
  • Kassambara, A. ggpubr: ‘ggplot2’ based publication ready plots. R package version 0.6.2 https://CRAN.R-project.org/package=ggpubr (2025).
  • Slowikowski, K. ggrepel: automatically position non-overlapping text labels with ‘ggplot2’. R package version 0.9.6 https://CRAN.R-project.org/package=ggrepel (2024).
  • Wilke, C. & Wiernik, B. ggtext: improved text rendering support for ‘ggplot2’. R package version 0.1.2 https://CRAN.R-project.org/package=ggtext (2022).
  • Pedersen, T. L. & Crameri, F. scico: colour palettes based on the scientific colour-maps. R package version 1.5.0 https://CRAN.R-project.org/package=scico (2023).
  • Microsoft Corporation & Weston, S. doParallel: foreach parallel adaptor for the ‘parallel’ package. R package version 1.0.17 https://CRAN.R-project.org/package=doParallel (2022).
  • Pillet, M. mdpillet/DroughtForecasts: version for Pillet et al. Zenodo https://doi.org/10.5281/zenodo.22295610 (2026).

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