Hoffmann, A. A. & Sgrò, C. M. Nature 470, 479–485 (2011).

Article 
CAS 

Google Scholar 

Taylor, S. A. & Larson, E. L. Nat. Ecol. Evol. 3, 170–177 (2019).

Article 

Google Scholar 

Brauer, C. J. et al. Nat. Clim. Change https://doi.org/10.1038/s41558-022-01585-1 (2023).

Article 

Google Scholar 

Grinnell, J. Auk 34, 427–433 (1917).

Article 

Google Scholar 

Peterson, A. T. et al. Ecological Niches and Geographic Distributions (Princeton Univ. Press, 2011).

Wiens, J. A., Stralberg, D., Jongsomjit, D., Howell, C. A. & Snyder, M. A. Proc. Natl Acad. Sci. USA 106, 19729–19736 (2009).

Article 
CAS 

Google Scholar 

Aguirre-Liguori, J. A., Ramírez-Barahona, S. & Gaut, B. S. Nat. Ecol. Evol. 5, 1350–1360 (2021).

Article 

Google Scholar 

Fitzpatrick, M. C. & Keller, S. R. Ecol. Lett. 18, 1–16 (2015).

Article 

Google Scholar 

Bay, R. A. et al. Science 359, 83–86 (2018).

Article 
CAS 

Google Scholar 

Capblancq, T., Fitzpatrick, M. C., Bay, R. A., Exposito-Alonso, M. & Keller, S. R. Annu. Rev. Ecol. Evol. Syst. 51, 245–269 (2020).

Article 

Google Scholar 

Rellstab, C., Dauphin, B. & Exposito‐Alonso, M. Evol. Appl. 14, 1202–1212 (2021).

Article 

Google Scholar 

Allendorf, F. W., Leary, R. F., Spruell, P. & Wenburg, J. K. Trends Ecol. Evol. 16, 613–622 (2001).

Article 

Google Scholar 

Rhymer, J. M. & Simberloff, D. Annu. Rev. Ecol. Syst. 27, 83–109 (1996).

Article 

Google Scholar 

Todesco, M. et al. Evol. Appl. 9, 892–908 (2016).

Article 
CAS 

Google Scholar 

Pauly, D. & Christensen, V. Primary production required to sustain global fisheries. Nature 374, 255–257 (1995).

Article 
CAS 

Google Scholar 

Cochrane, K., De Young, C., Soto, D. & Bahri, T. Climate Change Implications for Fisheries and Aquaculture Fisheries and Aquaculture Technical Paper 530 (FAO, 2009).

Kroodsma, D. A. et al. Tracking the global footprint of fisheries. Science 359, 904–908 (2018).

Article 
CAS 

Google Scholar 

Bakun, A. Coastal Upwelling Indices, West Coast of North America, 1946–1971 (NOAA Tech. Rep. NMFS SSRF-671, U.S. Dept. of Commerce, 1973).

Bakun, A. Daily and Weekly Upwelling Indices, West Coast of North America, 1967–1973 (NOAA, 1975).

Rykaczewski, R. R. & Checkley, D. M. Jr Influence of ocean winds on the pelagic ecosystem in upwelling regions. Proc. Natl Acad. Sci. USA 105, 1965–1970 (2008).

Article 
CAS 

Google Scholar 

García-Reyes, M. et al. Under pressure: climate change, upwelling, and eastern boundary upwelling ecosystems. Front. Mar. Sci. 2, 109 (2015).

Article 

Google Scholar 

Abrahams, A., Schlegel, R. W. & Smit, A. J. Variation and change of upwelling dynamics detected in the world’s eastern boundary upwelling systems. Front. Mar. Sci. 8, 626411 (2021).

Article 

Google Scholar 

Schwing, F. B., O’Farrell, M., Steger, J. M. & Baltz, K. Coastal Upwelling Indices West Coast of North America Technical Report NMFS SWFSC 231 (NOAA, 1996).

Bakun, A. Global climate change and intensification of coastal ocean upwelling. Science 247, 198–201 (1990).

Article 
CAS 

Google Scholar 

Sydeman, W. et al. Climate change and wind intensification in coastal upwelling ecosystems. Science 345, 77–80 (2014).

Article 
CAS 

Google Scholar 

Casabella, N., Lorenzo, M. & Taboada, J. Trends of the Galician upwelling in the context of climate change. J. Sea Res. 93, 23–27 (2014).

Article 

Google Scholar 

Wang, D., Gouhier, T. C., Menge, B. A. & Ganguly, A. R. Intensification and spatial homogenization of coastal upwelling under climate change. Nature 518, 390–394 (2015).

Article 
CAS 

Google Scholar 

Oyarzún, D. & Brierley, C. M. The future of coastal upwelling in the Humboldt Current from model projections. Clim. Dyn. 52, 599–615 (2019).

Article 

Google Scholar 

Rykaczewski, R. R. et al. Poleward displacement of coastal upwelling‐favorable winds in the ocean’s eastern boundary currents through the 21st century. Geophys. Res. Lett. 42, 6424–6431 (2015).

Article 

Google Scholar 

Bonino, G., Di Lorenzo, E., Masina, S. & Iovino, D. Interannual to decadal variability within and across the major eastern boundary upwelling systems. Sci. Rep. 9, 1–14 (2019).

Article 

Google Scholar 

Marchesiello, P. & Estrade, P. Upwelling limitation by onshore geostrophic flow. J. Mar. Res. 68, 37–62 (2010).

Article 

Google Scholar 

Echevin, V. et al. Sensitivity of the Humboldt Current System to global warming: a downscaling experiment of the IPSL-CM4 model. Clim. Dyn. 38.3, 761–774 (2012).

Article 

Google Scholar 

Jacox, M. G., Edwards, C. A., Hazen, E. L. & Bograd, S. J. Coastal upwelling revisited: Ekman, Bakun, and improved upwelling indices for the US West Coast. J. Geophys. Res. Oceans 123, 7332–7350 (2018).

Article 

Google Scholar 

Ding, H., Alexander, M. A. & Jacox, M. G. Role of geostrophic currents in future changes of coastal upwelling in the California Current System. Geophys. Res. Lett. 48, e2020GL090768 (2021).

Article 

Google Scholar 

Roemmich, D. & McGowan, J. Climatic warming and the decline of zooplankton in the California Current. Science 267, 1324–1326 (1995).

Article 
CAS 

Google Scholar 

Estrade, P., Marchesiello, P., De Verdière, A. C. & Roy, C. Cross-shelf structure of coastal upwelling: a two-dimensional extension of Ekman’s theory and a mechanism for inner shelf upwelling shut down. J. Mar. Res. 66, 589–616 (2008).

Article 

Google Scholar 

Eyring, V. et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev. 9, 1937–1958 (2016).

Article 

Google Scholar 

Gill, A. E. & Adrian, E. Atmosphere–Ocean Dynamics Vol. 30 (Academic Press, 1982).

Enriquez, A. & Friehe, C. Effects of wind stress and wind stress curl variability on coastal upwelling. J. Phys. Oceanogr. 25, 1651–1671 (1995).

Article 

Google Scholar 

Gruber, N. et al. Eddy-induced reduction of biological production in eastern boundary upwelling systems. Nat. Geosci. 4, 787–792 (2011).

Article 
CAS 

Google Scholar 

Jacox, M., Moore, A., Edwards, C. & Fiechter, J. Spatially resolved upwelling in the California Current System and its connections to climate variability. Geophys. Res. Lett. 41, 3189–3196 (2014).

Article 

Google Scholar 

Nagai, T. et al. Dominant role of eddies and filaments in the offshore transport of carbon and nutrients in the California Current System. J. Geophys. Res. Oceans 120, 5318–5341 (2015).

Article 

Google Scholar 

Renault, L., Hall, A. & McWilliams, J. C. Orographic shaping of US West Coast wind profiles during the upwelling season. Clim. Dyn. 46, 273–289 (2016).

Article 

Google Scholar 

Renault, L. et al. Partial decoupling of primary productivity from upwelling in the California Current system. Nat. Geosci. 9, 505–508 (2016).

Article 
CAS 

Google Scholar 

Benazzouz, A. et al. An improved coastal upwelling index from sea surface temperature using satellite-based approach—the case of the Canary Current upwelling system. Cont. Shelf Res. 81, 38–54 (2014).

Article 

Google Scholar 

Varela, R., Lima, F. P., Seabra, R., Meneghesso, C. & Gómez-Gesteira, M. Coastal warming and wind-driven upwelling: a global analysis. Sci. Total Environ. 639, 1501–1511 (2018).

Article 
CAS 

Google Scholar 

Preller, R. & OBRIEN, J. J. The influence of bottom topography on upwelling off Peru. J. Phys. Oceanogr. 10, 1377–1398 (1980).

Article 

Google Scholar 

Capet, X., Marchesiello, P. & McWilliams, J. Upwelling response to coastal wind profiles. Geophys. Res. Lett. 31, L13311 (2004).

Lentz, S. J. & Chapman, D. C. The importance of nonlinear cross-shelf momentum flux during wind-driven coastal upwelling. J. Phys. Oceanogr. 34, 2444–2457 (2004).

Article 

Google Scholar 

Marchesiello, P., McWilliams, J. C. & Shchepetkin, A. Equilibrium structure and dynamics of the California Current System. J. Phys. Oceanogr. 33, 753–783 (2003).

Article 

Google Scholar 

Sousa, M. C. et al. NW Iberian Peninsula coastal upwelling future weakening: competition between wind intensification and surface heating. Sci. Total Environ. 703, 134808 (2020).

Article 
CAS 

Google Scholar 

Bakun, A. et al. Anticipated effects of climate change on coastal upwelling ecosystems. Curr. Clim. Change Rep. 1, 85–93 (2015).

Article 

Google Scholar 

Veneziani, M., Edwards, C. A., Doyle, J. D. & Foley, D. A central California coastal ocean modeling study: 1. Forward model and the influence of realistic versus climatological forcing. J. Geophys. Res. Oceans 114, C04015 (2009).

Marchesiello, P. & Estrade, P. Eddy activity and mixing in upwelling systems: a comparative study of Northwest Africa and California regions. Int. J. Earth Sci. 98, 299–308 (2009).

Article 
CAS 

Google Scholar 

Quirós, N. C., Jacox, M. G., Buil, M. P. & Bograd, S. J. Future changes in eddy kinetic energy in the California Current System from dynamically downscaled climate projections. Geophys. Res. Lett. 49, e2022GL099042 (2022).

Chang, P. et al. An unprecedented set of high‐resolution Earth system simulations for understanding multiscale interactions in climate variability and change. J. Adv. Modeling Earth Syst. 12, e2020MS002298 (2020).

Google Scholar 

Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485–498 (2012).

Article 

Google Scholar 

Wan, W. lgan/cesm_sw_1.0.1: some efforts on refactoring and optimizing the Community Earth System Model (CESM1.3.1) on the Sunway TaihuLight supercomputer (cesm_sw_1.0.1). Zenodo https://doi.org/10.5281/zenodo.3637771 (2020).

Lal, R. Soil carbon sequestration impacts on global climate change and food security. Science 304, 1623–1627 (2004).

Article 
CAS 

Google Scholar 

Amundson, R. et al. Soil and human security in the 21st century. Science 348, 1261071 (2015).

Article 

Google Scholar 

Crowther, T. W. et al. Quantifying global soil carbon losses in response to warming. Nature 540, 104–108 (2016).

Article 
CAS 

Google Scholar 

Nottingham, A. T., Meir, P., Velasquez, E. & Turner, B. L. Soil carbon loss by experimental warming in a tropical forest. Nature 584, 234–237 (2020).

Article 
CAS 

Google Scholar 

Xue, K. et al. Tundra soil carbon is vulnerable to rapid microbial decomposition under climate warming. Nat. Clim. Change 6, 595–600 (2016).

Article 
CAS 

Google Scholar 

Houghton, R. A. & Nassikas, A. A. Global and regional fluxes of carbon from land use and land cover change 1850–2015. Glob. Biogeochem. Cycles 31, 456–472 (2017).

Article 
CAS 

Google Scholar 

Hicks Pries, C. E., Castanha, C., Porras, R. C. & Torn, M. S. The whole-soil carbon flux in response to warming. Science 355, 1420–1423 (2017).

Article 
CAS 

Google Scholar 

Davidson, E. A. & Janssens, I. A. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440, 165–173 (2006).

Article 
CAS 

Google Scholar 

Mahecha, M. D. et al. Global convergence in the temperature sensitivity of respiration at ecosystem level. Science 329, 838–840 (2010).

Article 
CAS 

Google Scholar 

Carvalhais, N. et al. Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature 514, 213–217 (2014).

Article 
CAS 

Google Scholar 

Koven, C. D., Hugelius, G., Lawrence, D. M. & Wieder, W. R. Higher climatological temperature sensitivity of soil carbon in cold than warm climates. Nat. Clim. Change 7, 817–822 (2017).

Article 
CAS 

Google Scholar 

Sistla, S. A. et al. Long-term warming restructures Arctic tundra without changing net soil carbon storage. Nature 497, 615–618 (2013).

Article 
CAS 

Google Scholar 

Dorrepaal, E. et al. Carbon respiration from subsurface peat accelerated by climate warming in the subarctic. Nature 460, 616–619 (2009).

Article 
CAS 

Google Scholar 

Karhu, K. et al. Temperature sensitivity of soil respiration rates enhanced by microbial community response. Nature 513, 81–84 (2014).

Article 
CAS 

Google Scholar 

Knorr, W., Prentice, I. C., House, J. I. & Holland, E. A. Long-term sensitivity of soil carbon turnover to warming. Nature 433, 298–301 (2005).

Article 
CAS 

Google Scholar 

Galy, V., Peucker-Ehrenbrink, B. & Eglinton, T. Global carbon export from the terrestrial biosphere controlled by erosion. Nature 521, 204–207 (2015).

Article 
CAS 

Google Scholar 

Stallard, R. F. Terrestrial sedimentation and the carbon cycle: coupling weathering and erosion to carbon burial. Glob. Biogeochem. Cycles 12, 231–257 (1998).

Article 
CAS 

Google Scholar 

Regnier, P. et al. Anthropogenic perturbation of the carbon fluxes from land to ocean. Nat. Geosci. 6, 597–607 (2013).

Article 
CAS 

Google Scholar 

Montgomery, D. R. Soil erosion and agricultural sustainability. Proc. Natl Acad. Sci. USA 104, 13268–13272 (2007).

Article 
CAS 

Google Scholar 

Cerdan, O. et al. Rates and spatial variations of soil erosion in Europe: a study based on erosion plot data. Geomorphology 122, 167–177 (2010).

Article 

Google Scholar 

Van Oost, K. et al. The impact of agricultural soil erosion on the global carbon cycle. Science 318, 626–629 (2007).

Article 

Google Scholar 

Chappell, A., Baldock, J. & Sanderman, J. The global significance of omitting soil erosion from soil organic carbon cycling schemes. Nat. Clim. Change 6, 187–191 (2016).

Article 
CAS 

Google Scholar 

Raymond, P. A. et al. Global carbon dioxide emissions from inland waters. Nature 503, 355–359 (2013).

Article 
CAS 

Google Scholar 

Lauerwald, R., Laruelle, G. G., Hartmann, J., Ciais, P. & Regnier, P. A. G. Spatial patterns in CO₂ evasion from the global river network. Glob. Biogeochem. Cycles 29, 534–554 (2015).

Article 
CAS 

Google Scholar 

Gudasz, C. et al. Temperature-controlled organic carbon mineralization in lake sediments. Nature 466, 478–481 (2010).

Article 
CAS 

Google Scholar 

Marotta, H. et al. Greenhouse gas production in low-latitude lake sediments responds strongly to warming. Nat. Clim. Change 4, 467–470 (2014).

Article 
CAS 

Google Scholar 

Rommens, T. et al. Soil erosion and sediment deposition in the Belgian loess belt during the Holocene: establishing a sediment budget for a small agricultural catchment. Holocene 15, 1032–1043 (2005).

Article 

Google Scholar 

Phillips, J. D. Fluvial sediment budgets in the North Carolina Piedmont. Geomorphology 4, 231–241 (1991).

Article 

Google Scholar 

Trimble, S. W. & Crosson, P. U.S. Soil erosion rates—myth and reality. Science 289, 248–250 (2000).

Article 
CAS 

Google Scholar 

Harden, J. W. et al. Dynamic replacement and loss of soil carbon on eroding cropland. Glob. Biogeochem. Cycles 13, 885–901 (1999).

Article 
CAS 

Google Scholar 

Billings, S. A., Buddemeier, R. W., Richter, D. D., Van Oost, K. & Bohling, G. A simple method for estimating the influence of eroding soil profiles on atmospheric CO₂. Glob. Biogeochem. Cycles 24, GB2001 (2010).

Article 

Google Scholar 

Berhe, A. A., Harden, J. W., Torn, M. S. & Harte, J. Linking soil organic matter dynamics and erosion-induced terrestrial carbon sequestration at different landform positions. J. Geophys. Res. Biogeosci. 113, G04039 (2008).

Article 

Google Scholar 

Nadeu, E., Berhe, A. A., de Vente, J. & Boix-Fayos, C. Erosion, deposition and replacement of soil organic carbon in Mediterranean catchments: a geomorphological, isotopic and land use change approach. Biogeosciences 9, 1099–1111 (2012).

Article 
CAS 

Google Scholar 

Wang, Z. et al. The fate of buried organic carbon in colluvial soils: a long-term perspective. Biogeosciences 11, 873–883 (2014).

Article 
CAS 

Google Scholar 

Wang, Z., Van Oost, K. & Govers, G. Predicting the long-term fate of buried organic carbon in colluvial soils. Glob. Biogeochem. Cycles 29, 65–79 (2015).

Article 

Google Scholar 

VandenBygaart, A. J., Kroetsch, D., Gregorich, E. G. & Lobb, D. Soil C erosion and burial in cropland. Glob. Change Biol. 18, 1441–1452 (2012).

Article 

Google Scholar 

Burdige, D. J. Burial of terrestrial organic matter in marine sediments: a re-assessment. Glob. Biogeochem. Cycles 19, GB4011 (2005).

Article 

Google Scholar 

Sobek, S. et al. Organic carbon burial efficiency in lake sediments controlled by oxygen exposure time and sediment source. Limnol. Oceanogr. 54, 2243–2254 (2009).

Article 

Google Scholar 

Doetterl, S. et al. Erosion, deposition and soil carbon: a review of process-level controls, experimental tools and models to address C cycling in dynamic landscapes. Earth Sci. Rev. 154, 102–122 (2016).

Article 
CAS 

Google Scholar 

Wang, Z. et al. Human-induced erosion has offset one-third of carbon emissions from land cover change. Nat. Clim. Change 7, 345–349 (2017).

Article 
CAS 

Google Scholar 

Jobbágy, E. G. & Jackson, R. B. The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol. Appl. 10, 423–436 (2000).

Article 

Google Scholar 

Meyer, N., Welp, G. & Amelung, W. The temperature sensitivity (Q10) of soil respiration: controlling factors and spatial prediction at regional scale based on environmental soil classes. Glob. Biogeochem. Cycles 32, 306–323 (2018).

Article 
CAS 

Google Scholar 

Zhou, T., Shi, P., Hui, D. & Luo, Y. Global pattern of temperature sensitivity of soil heterotrophic respiration (Q10) and its implications for carbon–climate feedback. J. Geophys. Res. Biogeosci. 114, G02016 (2009).

Article 

Google Scholar 

Doetterl, S., Van Oost, K. & Six, J. Towards constraining the magnitude of global agricultural sediment and soil organic carbon fluxes. Earth Surf. Process. Landf. 37, 642–655 (2012).

Article 

Google Scholar 

Kosmas, C. et al. The effects of tillage displaced soil on soil properties and wheat biomass. Soil Tillage Res. 58, 31–44 (2001).

Article 

Google Scholar 

Dercon, G. et al. Spatial variability in crop response under contour hedgerow systems in the Andes region of Ecuador. Soil Tillage Res. 86, 15–26 (2006).

Article 

Google Scholar 

Lugato, E., Lavallee, J. M., Haddix, M. L., Panagos, P. & Cotrufo, M. F. Different climate sensitivity of particulate and mineral-associated soil organic matter. Nat. Geosci. 14, 95–300 (2021).

Borrelli, P. et al. Land use and climate change impacts on global soil erosion by water (2015–2070). Proc. Natl Acad. Sci. USA 117, 21994–22001 (2020).

Min, S.-K., Zhang, X., Zwiers, F. W. & Hegerl, G. C. Human contribution to more-intense precipitation extremes. Nature 470, 378–381 (2011).

Article 
CAS 

Google Scholar 

Li, Z. & Fang, H. Impacts of climate change on water erosion: a review. Earth Sci. Rev. 163, 94–117 (2016).

Article 

Google Scholar 

Sutton, R. T. & Hawkins, E. ESD ideas: global climate response scenarios for IPCC assessments. Earth Syst. Dynam. 11, 751–754 (2020).

Article 

Google Scholar 

Walker, T. W. N. et al. Microbial temperature sensitivity and biomass change explain soil carbon loss with warming. Nat. Clim. Change 8, 885–889 (2018).

Article 
CAS 

Google Scholar 

Berner, R. A., Lasaga, A. C. & Garrels, R. M. The carbonate–silicate geochemical cycle and its effect on atmospheric carbon dioxide over the past 100 million years. Am. J. Sci. 283, 641–683 (1983).

Article 
CAS 

Google Scholar 

Gaillardet, J., Dupré, B., Louvat, P. & Allègre, C. J. Global silicate weathering and CO₂ consumption rates deduced from the chemistry of large rivers. Chem. Geol. 159, 3–30 (1999).

Article 
CAS 

Google Scholar 

Quine, T. A. & Van Oost, K. Quantifying carbon sequestration as a result of soil erosion and deposition: retrospective assessment using caesium-137 and carbon inventories. Glob. Change Biol. 13, 2610–2625 (2007).

Article 

Google Scholar 

Van Oost, K. et al. Legacy of human-induced C erosion and burial on soil–atmosphere C exchange. Proc. Natl Acad. Sci. USA 109, 19492–19497 (2012).

Article 

Google Scholar 

Van Oost, K. et al. Landscape-scale modeling of carbon cycling under the impact of soil redistribution: the role of tillage erosion. Glob. Biogeochem. Cycles 19, GB4014 (2005).

Google Scholar 

Gerwitz, A. & Page, E. R. An empirical mathematical model to describe plant root systems. J. Appl. Ecol. 11, 773–781 (1974).

Article 

Google Scholar 

Wang, Z. Erosion-C model. Zenodo https://doi.org/10.5281/zenodo.7224539 (2022).

Ackerly, D. D. Community assembly, niche conservatism, and adaptive evolution in changing environments. Int. J. Plant Sci. 164, S165–S184 (2003).

Article 

Google Scholar 

Kellermann, V., Van Heerwaarden, B., Sgrò, C. M. & Hoffmann, A. A. Fundamental evolutionary limits in ecological traits drive Drosophila species distributions. Science 325, 1244–1246 (2009).

Article 
CAS 

Google Scholar 

Hansen, M. M., Olivieri, I., Waller, D. M. & Nielsen, E. E. Monitoring adaptive genetic responses to environmental change. Mol. Ecol. 21, 1311–1329 (2012).

Article 

Google Scholar 

Aitken, S. N. & Whitlock, M. C. Assisted gene flow to facilitate local adaptation to climate change. Annu. Rev. Ecol. Evol. Syst. 44, 367–388 (2013).

Article 

Google Scholar 

Becker, M. et al. Hybridization may facilitate in situ survival of endemic species through periods of climate change. Nat. Clim. Change 3, 1039–1043 (2013).

Article 

Google Scholar 

Allendorf, F. W., Leary, R. F., Spruell, P. & Wenburg, J. K. The problems with hybrids: setting conservation guidelines. Trends Ecol. Evol. 16, 613–622 (2001).

Article 

Google Scholar 

Todesco, M. et al. Hybridization and extinction. Evol. Appl. 9, 892–908 (2016).

Article 
CAS 

Google Scholar 

Rhymer, J. M. & Simberloff, D. Extinction by hybridization and introgression. Annu. Rev. Ecol. Syst. 27, 83–109 (1996).

Article 

Google Scholar 

Taylor, S. A. & Larson, E. L. Insights from genomes into the evolutionary importance and prevalence of hybridization in nature. Nat. Ecol. Evol. 3, 170–177 (2019).

Article 

Google Scholar 

vonHoldt, B. M., Brzeski, K. E., Wilcove, D. S. & Rutledge, L. Y. Redefining the role of admixture and genomics in species conservation. Conserv. Lett. 11, e12371 (2018).

Article 

Google Scholar 

Hamilton, J. A. & Miller, J. M. Adaptive introgression as a resource for management and genetic conservation in a changing climate. Conserv. Biol. 30, 33–41 (2016).

Article 

Google Scholar 

Ralls, K., Sunnucks, P., Lacy, R. C. & Frankham, R. Genetic rescue: a critique of the evidence supports maximizing genetic diversity rather than minimizing the introduction of putatively harmful genetic variation. Biol. Conserv. 251, 108784 (2020).

Article 

Google Scholar 

Capblancq, T., Fitzpatrick, M. C., Bay, R. A., Exposito-Alonso, M. & Keller, S. R. Genomic prediction of (mal) adaptation across current and future climatic landscapes. Annu. Rev. Ecol. Evol. Syst. 51, 245–269 (2020).

Article 

Google Scholar 

Rellstab, C., Dauphin, B. & Exposito‐Alonso, M. Prospects and limitations of genomic offset in conservation management. Evol. Appl. 14, 1202–1212 (2021).

Article 

Google Scholar 

Bay, R. A. et al. Genomic signals of selection predict climate-driven population declines in a migratory bird. Science 359, 83–86 (2018).

Article 
CAS 

Google Scholar 

Rellstab, C. et al. Signatures of local adaptation in candidate genes of oaks (Quercus spp.) with respect to present and future climatic conditions. Mol. Ecol. 25, 5907–5924 (2016).

Article 

Google Scholar 

Fitzpatrick, M. C. & Keller, S. R. Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation. Ecol. Lett. 18, 1–16 (2015).

Article 

Google Scholar 

Exposito-Alonso, M. et al. Genomic basis and evolutionary potential for extreme drought adaptation in Arabidopsis thaliana. Nat. Ecol. Evol. 2, 352–358 (2018).

Article 

Google Scholar 

Kindt, R. AlleleShift: an R package to predict and visualize population-level changes in allele frequencies in response to climate change. PeerJ 9, e11534 (2021).

Article 

Google Scholar 

Gain, C. & François, O. LEA 3: factor models in population genetics and ecological genomics with R. Mol. Ecol. Resour. 21, 2738–2748 (2020).

Article 

Google Scholar 

Aguirre-Liguori, J. A., Ramírez-Barahona, S. & Gaut, B. S. The evolutionary genomics of species’ responses to climate change. Nat. Ecol. Evol. 5, 1350–1360 (2021).

Article 

Google Scholar 

Taylor, S. A., Larson, E. L. & Harrison, R. G. Hybrid zones: windows on climate change. Trends Ecol. Evol. 30, 398–406 (2015).

Article 

Google Scholar 

Hoffmann, A. A. & Sgro, C. M. Climate change and evolutionary adaptation. Nature 470, 479–485 (2011).

Article 
CAS 

Google Scholar 

McGuigan, K., Franklin, C. E., Moritz, C. & Blows, M. W. Adaptation of rainbow fish to lake and stream habitats. Evolution 57, 104–118 (2003).

Google Scholar 

Smith, S., Bernatchez, L. & Beheregaray, L. RNA-seq analysis reveals extensive transcriptional plasticity to temperature stress in a freshwater fish species. BMC Genomics 14, 375 (2013).

Article 
CAS 

Google Scholar 

Smith, S. et al. Latitudinal variation in climate‐associated genes imperils range edge populations. Mol. Ecol. 29, 4337–4349 (2020).

Article 
CAS 

Google Scholar 

Sandoval-Castillo, J. et al. Adaptation of plasticity to projected maximum temperatures and across climatically defined bioregions. Proc. Natl Acad. Sci. USA 117, 17112–17121 (2020).

Article 
CAS 

Google Scholar 

Brauer, C., Unmack, P. J., Smith, S., Bernatchez, L. & Beheregaray, L. B. On the roles of landscape heterogeneity and environmental variation in determining population genomic structure in a dendritic system. Mol. Ecol. 27, 3484–3497 (2018).

Article 
CAS 

Google Scholar 

Attard, C. R. et al. Fish out of water: genomic insights into persistence of rainbowfish populations in the desert. Evolution 76, 171–183 (2022).

Article 

Google Scholar 

Gates, K. et al. Environmental selection, rather than neutral processes, best explain patterns of diversity in a tropical rainforest fish. Preprint at bioRxiv https://doi.org/10.1101/2022.1105.1113.491913 (2022).

Article 

Google Scholar 

McCairns, R. J. S., Smith, S., Sasaki, M., Bernatchez, L. & Beheregaray, L. B. The adaptive potential of subtropical rainbowfish in the face of climate change: heritability and heritable plasticity for the expression of candidate genes. Evol. Appl. 9, 531–545 (2016).

Article 
CAS 

Google Scholar 

McGuigan, K., Zhu, D., Allen, G. & Moritz, C. Phylogenetic relationships and historical biogeography of melanotaeniid fishes in Australia and New Guinea. Mar. Freshwat. Res. 51, 713–723 (2000).

Article 

Google Scholar 

Unmack, P. J. et al. Malanda Gold: the tale of a unique rainbowfish from the Atherton Tablelands, now on the verge of extinction. Fish. Sahul. 30, 1039–1054 (2016).

Google Scholar 

Moritz, C. Strategies to protect biological diversity and the evolutionary processes that sustain it. Syst. Biol. 51, 238–254 (2002).

Article 

Google Scholar 

Pope, L., Estoup, A. & Moritz, C. Phylogeography and population structure of an ecotonal marsupial, Bettongia tropica, determined using mtDNA and microsatellites. Mol. Ecol. 9, 2041–2053 (2000).

Article 
CAS 

Google Scholar 

Hugall, A., Moritz, C., Moussalli, A. & Stanisic, J. Reconciling paleodistribution models and comparative phylogeography in the Wet Tropics rainforest land snail Gnarosophia bellendenkerensis (Brazier 1875). Proc. Natl Acad. Sci. USA 99, 6112–6117 (2002).

Article 
CAS 

Google Scholar 

Moritz, C. et al. Identification and dynamics of a cryptic suture zone in tropical rainforest. Proc. R. Soc. B. 276, 1235–1244 (2009).

Article 
CAS 

Google Scholar 

Phillips, B. L., Baird, S. J. & Moritz, C. When vicars meet: a narrow contact zone between morphologically cryptic phylogeographic lineages of the rainforest skink, Carlia rubrigularis. Evolution 58, 1536–1548 (2004).

Google Scholar 

Krosch, M. N., Baker, A. M., Mckie, B. G., Mather, P. B. & Cranston, P. S. Deeply divergent mitochondrial lineages reveal patterns of local endemism in chironomids of the Australian Wet Tropics. Austral Ecol. 34, 317–328 (2009).

Article 

Google Scholar 

Williams, S. E., Bolitho, E. E. & Fox, S. Climate change in Australian tropical rainforests: an impending environmental catastrophe. Proc. R. Soc. B. 270, 1887–1892 (2003).

Article 

Google Scholar 

Whitehead, P. et al. Temporal development of the Atherton Basalt Province, north Queensland. Aust. J. Earth Sci. 54, 691–709 (2007).

Article 
CAS 

Google Scholar 

Moy, K. G., Unmack, P. J., Lintermans, M., Duncan, R. P. & Brown, C. Barriers to hybridisation and their conservation implications for a highly threatened Australian fish species. Ethology 125, 142–152 (2019).

Article 

Google Scholar 

Alexander, D. H., Novembre, J. & Lange, K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 19, 1655–1664 (2009).

Article 
CAS 

Google Scholar 

Buerkle, C. A. Maximum‐likelihood estimation of a hybrid index based on molecular markers. Mol. Ecol. Notes 5, 684–687 (2005).

Article 
CAS 

Google Scholar 

Anderson, E. & Thompson, E. A model-based method for identifying species hybrids using multilocus genetic data. Genetics 160, 1217–1229 (2002).

Article 
CAS 

Google Scholar 

Dorion, S. & Landry, J. Activation of the mitogen-activated protein kinase pathways by heat shock. Cell Stress Chaperones 7, 200 (2002).

Article 
CAS 

Google Scholar 

Blumstein, M. et al. Protocol for projecting allele frequency change under future climate change at adaptive-associated loci. STAR Protoc. 1, 100061 (2020).

Article 

Google Scholar 

Gougherty, A. V., Keller, S. R. & Fitzpatrick, M. C. Maladaptation, migration and extirpation fuel climate change risk in a forest tree species. Nat. Clim. Change 11, 166–171 (2021).

Article 

Google Scholar 

Blumstein, M. et al. A new perspective on ecological prediction reveals limits to climate adaptation in a temperate tree species. Curr. Biol. 30, 1447–1453. e1444 (2020).

Article 
CAS 

Google Scholar 

Razgour, O. et al. Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projections. Proc. Natl Acad. Sci. USA 116, 10418–10423 (2019).

Article 
CAS 

Google Scholar 

Goicoechea, P. G. et al. Adaptive introgression promotes fast adaptation in oaks marginal populations. Preprint available at bioRxiv https://doi.org/10.1101/731919 (2019).

Lavergne, S. & Molofsky, J. Increased genetic variation and evolutionary potential drive the success of an invasive grass. Proc. Natl Acad. Sci. USA 104, 3883–3888 (2007).

Article 
CAS 

Google Scholar 

De Carvalho, D. et al. Admixture facilitates adaptation from standing variation in the European aspen (Populus tremula L.), a widespread forest tree. Mol. Ecol. 19, 1638–1650 (2010).

Article 

Google Scholar 

De-Kayne, R. et al. Genomic architecture of adaptive radiation and hybridization in Alpine whitefish. Nat. Commun. 13, 4479 (2022).

Article 
CAS 

Google Scholar 

Baskett, M. L. & Gomulkiewicz, R. Introgressive hybridization as a mechanism for species rescue. Theor. Ecol. 4, 223–239 (2011).

Article 

Google Scholar 

Meier, J. I. et al. The coincidence of ecological opportunity with hybridization explains rapid adaptive radiation in Lake Mweru cichlid fishes. Nat. Commun. 10, 1–11 (2019).

Article 
CAS 

Google Scholar 

Svardal, H. et al. Ancestral hybridization facilitated species diversification in the Lake Malawi cichlid fish adaptive radiation. Mol. Biol. Evol. 37, 1100–1113 (2020).

Article 
CAS 

Google Scholar 

Racimo, F., Sankararaman, S., Nielsen, R. & Huerta-Sánchez, E. Evidence for archaic adaptive introgression in humans. Nat. Rev. Genet. 16, 359–371 (2015).

Article 
CAS 

Google Scholar 

Jeong, C. et al. Admixture facilitates genetic adaptations to high altitude in Tibet. Nat. Commun. 5, 1–7 (2014).

Article 

Google Scholar 

Nolte, A. W., Freyhof, J., Stemshorn, K. C. & Tautz, D. An invasive lineage of sculpins, Cottus sp. (Pisces, Teleostei) in the Rhine with new habitat adaptations has originated from hybridization between old phylogeographic groups. Proc. R. Soc. B. 272, 2379–2387 (2005).

Article 

Google Scholar 

Fitzpatrick, M. C., Chhatre, V. E., Soolanayakanahally, R. Y. & Keller, S. R. Experimental support for genomic prediction of climate maladaptation using the machine learning approach Gradient Forests. Mol. Ecol. Resour. 21, 2749–2765 (2021).

Article 
CAS 

Google Scholar 

Schneider, C., Cunningham, M. & Moritz, C. Comparative phylogeography and the history of endemic vertebrates in the Wet Tropics rainforests of Australia. Mol. Ecol. 7, 487–498 (1998).

Article 

Google Scholar 

Hewitt, G. M. Quaternary phylogeography: the roots of hybrid zones. Genetica 139, 617–638 (2011).

Article 

Google Scholar 

Pfennig, K. S., Kelly, A. L. & Pierce, A. A. Hybridization as a facilitator of species range expansion. Proc. R. Soc. B. 283, 20161329 (2016).

Article 

Google Scholar 

Soulé, M. E. What is conservation biology? A new synthetic discipline addresses the dynamics and problems of perturbed species, communities, and ecosystems. Bioscience 35, 727–734 (1985).

Google Scholar 

Biermann, C. & Havlick, D. Genetics and the question of purity in cutthroat trout restoration. Restor. Ecol. 29, e13516 (2021).

Article 

Google Scholar 

Fredrickson, R. J. & Hedrick, P. W. Dynamics of hybridization and introgression in red wolves and coyotes. Conserv. Biol. 20, 1272–1283 (2006).

Article 

Google Scholar 

Hirashiki, C., Kareiva, P. & Marvier, M. Concern over hybridization risks should not preclude conservation interventions. Conserv. Sci. Pract. 3, e424 (2021).

Google Scholar 

Unmack, P. J., Allen, G. R. & Johnson, J. B. Phylogeny and biogeography of rainbowfishes (Melanotaeniidae) from Australia and New Guinea. Mol. Phylogenet. Evol. 67, 15–27 (2013).

Article 

Google Scholar 

Allen, G. Rainbowfishes in Nature and the Aquarium (Tetra Publications, 1995).

Seehausen, O. Hybridization and adaptive radiation. Trends Ecol. Evol. 19, 198–207 (2004).

Article 

Google Scholar 

Pusey, B., Kennard, M. J. & Arthington, A. H. Freshwater Fishes of North-eastern Australia (CSIRO Publishing, 2004).

Zhu, D., Degnan, S. & Moritz, C. Evolutionary distinctiveness and status of the endangered Lake Eacham rainbowfish (Melanotaenia eachamensis). Conserv. Biol. 12, 80–93 (1998).

Article 

Google Scholar 

McGuigan, K., Chenoweth, S. F. & Blows, M. W. Phenotypic divergence along lines of genetic variance. Am. Nat. 165, 32–43 (2005).

Article 

Google Scholar 

Sunnucks, P. & Hales, D. F. Numerous transposed sequences of mitochondrial cytochrome oxidase I-II in aphids of the genus Sitobion (Hemiptera: Aphididae). Mol. Biol. Evol. 13, 510–524 (1996).

Article 
CAS 

Google Scholar 

Peterson, B., Weber, J., Kay, E., Fisher, H. & Hoekstra, H. Double digest RADseq: an inexpensive method for de novo SNP discovery and genotyping in model and non-model species. PLoS ONE 7, e37135 (2012).

Article 
CAS 

Google Scholar 

Catchen, J. M., Amores, A., Hohenlohe, P., Cresko, W. & Postlethwait, J. H. Stacks: building and genotyping loci de novo from short-read sequences. G3: Genes Genomes Genet. 1, 171–182 (2011).

Article 
CAS 

Google Scholar 

Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).

Article 
CAS 

Google Scholar 

Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357 (2012).

Article 
CAS 

Google Scholar 

DePristo, M. A. et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat. Genet. 43, 491–498 (2011).

Article 
CAS 

Google Scholar 

Danecek, P. et al. Twelve years of SAMtools and BCFtools. Gigascience 10, giab008 (2021).

Article 

Google Scholar 

Goudet, J. Hierfstat, a package for R to compute and test hierarchical F‐statistics. Mol. Ecol. Notes 5, 184–186 (2005).

Article 

Google Scholar 

R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2021).

Bailey, R. ribailey/gghybrid: gghybrid R package for Bayesian hybrid index and genomic cline estimation. v2.0.0 https://doi.org/10.5281/zenodo.3676498 (2020).

Wringe, B. hybriddetective: automates the process of detecting hybrids from genetic data. R package version 0.1.0.9000 https://github.com/bwringe/hybriddetective (2016).

Pickrell, J. K. & Pritchard, J. K. Inference of population splits and mixtures from genome-wide allele frequency data. PLoS Genet. 8, e1002967 (2012).

Article 
CAS 

Google Scholar 

Malinsky, M., Matschiner, M. & Svardal, H. Dsuite‐Fast D‐statistics and related admixture evidence from VCF files. Mol. Ecol. Resour. 21, 584–595 (2021).

Article 

Google Scholar 

Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).

Article 
CAS 

Google Scholar 

Green, R. E. et al. A draft sequence of the Neandertal genome. Science 328, 710–722 (2010).

Article 
CAS 

Google Scholar 

Durand, E. Y., Patterson, N., Reich, D. & Slatkin, M. Testing for ancient admixture between closely related populations. Mol. Biol. Evol. 28, 2239–2252 (2011).

Article 
CAS 

Google Scholar 

Malinsky, M. et al. Genomic islands of speciation separate cichlid ecomorphs in an East African crater lake. Science 350, 1493–1498 (2015).

Article 
CAS 

Google Scholar 

Quinlan, A. R. & Hall, I. M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841–842 (2010).

Article 
CAS 

Google Scholar 

Karger, D. N. et al. Climatologies at high resolution for the earth’s land surface areas. Sci. Data 4, 1–20 (2017).

Article 

Google Scholar 

Karger, D. N. et al. CHELSA climatologies at high resolution for the Earth’s land surface areas (v.1.0). https://doi.org/10.1594/WDCC/CHELSA_v1 (2016).

Ackerley, D. & Dommenget, D. Atmosphere-only GCM (ACCESS1.0) simulations with prescribed land surface temperatures. Geosci. Model Dev. 9, 2077–2098 (2016).

Article 

Google Scholar 

Brown, J. L., Hill, D. J., Dolan, A. M., Carnaval, A. C. & Haywood, A. M. PaleoClim: high spatial resolution paleoclimate surfaces for global land areas. Sci. Data 5, 1–9 (2018).

Article 

Google Scholar 

Fordham, D. A. et al. PaleoView: a tool for generating continuous climate projections spanning the last 21,000 years at regional and global scales. Ecography 40, 1348–1358 (2017).

Article 

Google Scholar 

Thuiller, W., Lafourcade, B., Engler, R. & Araújo, M. B. BIOMOD–a platform for ensemble forecasting of species distributions. Ecography 32, 369–373 (2009).

Article 

Google Scholar 

Lemus-Canovas, M., Lopez-Bustins, J. A., Martin-Vide, J. & Royé, D. synoptReg: an R package for computing a synoptic climate classification and a spatial regionalization of environmental data. Environ. Model. Softw. 118, 114–119 (2019).

Article 

Google Scholar 

Hao, T., Elith, J., Guillera‐Arroita, G. & Lahoz‐Monfort, J. J. A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD. Divers. Distrib. 25, 839–852 (2019).

Article 

Google Scholar 

Galpern, P., Peres‐Neto, P. R., Polfus, J. & Manseau, M. MEMGENE: spatial pattern detection in genetic distance data. Methods Ecol. Evol. 5, 1116–1120 (2014).

Article 

Google Scholar 

Peres‐Neto, P. R. & Galpern, P. memgene: spatial pattern detection in genetic distance data using Moran’s eigenvector maps. R package version 1.0.1 https://cran.r-project.org/web/packages/memgene/ (2019).

Oksanen, J. et al. vegan: community ecology package. R package version 2.3–0 https://cran.r-project.org/web/packages/vegan/ (2015).

Forester, B. R., Jones, M. R., Joost, S., Landguth, E. L. & Lasky, J. R. Detecting spatial genetic signatures of local adaptation in heterogeneous landscapes. Mol. Ecol. 25, 104–120 (2015).

Article 

Google Scholar 

Cingolani, P. et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 6, 80–92 (2012).

Article 
CAS 

Google Scholar 

Szklarczyk, D. et al. The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic Acids Res. 49, D605–D612 (2021).

Article 
CAS 

Google Scholar 

Brauer, C. J. et al. Data for ‘Natural hybridisation reduces vulnerability to climate change’. figshare https://doi.org/10.6084/m9.figshare.21692918 (2022).

Brauer, C. J. et al. Code for ‘Natural hybridisation reduces vulnerability to climate change’. GitHub https://github.com/pygmyperch/NER (2022).

Lee, T. M., Markowitz, E. M., Howe, P. D., Ko, C.-Y. & Leiserowitz, A. A. Nat. Clim. Change 5, 1014–1020 (2015).

Article 

Google Scholar 

Bergquist, M., Nilsson, A., Harring, N. & Jagers, S. C. Nat. Clim. Change 12, 235–240 (2022).

Article 

Google Scholar 

Drews, S. & van den Bergh, J. Clim. Policy 16, 855–876 (2016).

Article 

Google Scholar 

Maestre-Andrés, S., Drews, S. & van den Bergh, J. Clim. Policy 19, 1186–1204 (2019).

Article 

Google Scholar 

Rhodes, E., Axsen, J. & Jaccard, M. Ecol. Econ. 137, 56–69 (2017).

Article 

Google Scholar 

Fairbrother, M., Johansson Sevä, I. & Kulin, J. Glob. Environ. Change 59, 102003 (2019).

Article 

Google Scholar 

Savin, I., Drews, S., Maestre-Andrés, S. & van den Bergh, J. Climatic Change 162, 2107–2138 (2020).

Article 

Google Scholar 

Dubash, N. K. et al. in Climate Change 2022: Mitigation of Climate Change (eds Shukla, P. R. et al.) Ch. 13, 13-11–13-160 (IPCC, Cambridge Univ. Press, 2022).

Givoni, M., Macmillen, J., Banister, D. & Feitelson, E. Transp. Rev. 33, 1–20 (2013).

Article 

Google Scholar 

Wicki, M., Fesenfeld, L. P. & Bernauer, T. Environ. Res. Lett. 14, 084048 (2019).

Article 

Google Scholar 

Pahle, M. et al. Nat. Clim. Change 8, 861–867 (2018).

Article 

Google Scholar 

Schuitema, G., Steg, L. & Forward, S. Transport. Res. Part A 44, 99–109 (2010).

Google Scholar 

Carattini, S., Baranzini, A., Thalmann, P., Varone, F. & Vöhringer, F. Environ. Resour. Econ. 68, 97–128 (2017).

Article 

Google Scholar 

Devine-Wright, P. Wind Energy 8, 125–139 (2005).

Article 

Google Scholar 

Kallbekken, S., Kroll, S. & Cherry, T. L. J. Environ. Econ. Manage. 62, 53–64 (2011).

Article 

Google Scholar 

Kallbekken, S. & Aasen, M. Ecol. Econ. 69, 2183–2190 (2010).

Article 

Google Scholar 

Konc, T., Drews, S., Savin, I. & van den Bergh, J. Glob. Environ. Change 74, 102528 (2022).

Article 

Google Scholar 

Peng, W. et al. Nature 594, 174–176 (2021).

Article 
CAS 

Google Scholar 

Badura, T., Krkoška Lorencová, E., Ferrini, S. & Vačkářová, D. Land. Urban Plan. 215, 104215 (2021).

Article 

Google Scholar 

Burstein, P. Polit. Res. Quart. 56, 29–40 (2003).

Article 

Google Scholar 

Lhermitte, S. et al. Damage accelerates ice shelf instability and mass loss in Amundsen Sea Embayment. Proc. Natl Acad. Sci. USA 117, 24735–24741 (2020).

Article 
CAS 

Google Scholar 

Trusel, L. D., Frey, K. E., Das, S. B., Kuipers Munneke, P. & van den Broeke, M. R. Satellite-based estimates of Antarctic surface meltwater fluxes. Geophys. Res. Lett. 40, 1–6 (2013).

Article 

Google Scholar 

Van Wessem, J. M. et al. Modelling the climate and surface mass balance of polar ice sheets using RACMO2, part 2: Antarctica (1979–2016). Cryosphere 2018, 1479–1498 (2018).

Article 

Google Scholar 

Bell, R. E., Banwell, A. F., Trusel, L. D. & Kingslake, J. Antarctic surface hydrology and impacts on ice-sheet mass balance. Nat. Clim. Change https://doi.org/10.1038/s41558-018-0326-3 (2018).

Kuipers Munneke, P., Ligtenberg, S. R. M., Van Den Broeke, M. R. & Vaughan, D. G. Firn air depletion as a precursor of Antarctic ice-shelf collapse. J. Glaciol. 60, 205–214 (2014).

Article 

Google Scholar 

Fürst, J. J. et al. The safety band of Antarctic ice shelves. Nat. Clim. Change 6, 479–482 (2016).

Article 

Google Scholar 

Banwell, A. F., Willis, I. C., Macdonald, G. J., Goodsell, B. & MacAyeal, D. R. Direct measurements of ice-shelf flexure caused by surface meltwater ponding and drainage. Nat. Commun. 10, 730 (2019).

Article 
CAS 

Google Scholar 

Lai, C. Y. et al. Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture. Nature 584, 574–578 (2020).

Article 
CAS 

Google Scholar 

Wille, J. D. et al. Intense atmospheric rivers can weaken ice shelf stability at the Antarctic Peninsula. Commun. Earth Environ. https://doi.org/10.1038/s43247-022-00422-9 (2022).

Rott, H. et al. Rapid collapse of northern Larsen Ice Shelf, Antarctica. Science 271, 788–792 (1996).

Article 
CAS 

Google Scholar 

Cook, A. J. & Vaughan, D. G. Overview of areal changes of the ice shelves on the Antarctic Peninsula over the past 50 years. Cryosphere 4, 77–98 (2010).

Article 

Google Scholar 

Morris, E. M. & Vaughan, D. G. Spatial and temporal variation of surface temperature on the Antarctic Peninsula and the limit of viability of ice shelves. Antarct. Res. Ser. 79, 61–68 (2003).

Google Scholar 

Pfeffer, W. T., Meier, M. F. & Illangasekare, T. H. Retention of Greenland runoff by refreezing: implications for projected future sea level change. J. Geophys. Res. https://doi.org/10.1029/91jc02502 (1991).

Donat-Magnin, M. et al. Future surface mass balance and surface melt in the Amundsen sector of the West Antarctic Ice Sheet. Cryosphere 15, 571–593 (2021).

Article 

Google Scholar 

Palerme, C. et al. Evaluation of current and projected Antarctic precipitation in CMIP5 models. Clim. Dyn. 48, 225–239 (2017).

Article 

Google Scholar 

Van Wessem, J. M. et al. Improved representation of East Antarctic surface mass balance in a regional atmospheric climate model. J. Glaciol. 60, 761–770 (2014).

Article 

Google Scholar 

Beaumet, J., Déqué, M., Krinner, G., Agosta, C. & Alias, A. Effect of prescribed sea surface conditions on the modern and future Antarctic surface climate simulated by the ARPEGE atmosphere general circulation model. Cryosphere 13, 3023–3043 (2019).

Article 

Google Scholar 

Bracegirdle, T. J. et al. Twenty first century changes in Antarctic and Southern Ocean surface climate in CMIP6. Atmos. Sci. Lett. 21, 1–14 (2020).

Article 

Google Scholar 

Trusel, L. D. et al. Divergent trajectories of Antarctic surface melt under two twenty-first-century climate scenarios. Nat. Geosci. 8, 927–932 (2015).

Article 
CAS 

Google Scholar 

Jakobs, C. L. et al. Quantifying the snowmelt-albedo feedback at Neumayer Station, East Antarctica. Cryosphere 13, 1473–1485 (2019).

Article 

Google Scholar 

Lenaerts, J. T. M. et al. Meltwater produced by wind–albedo interaction stored in an East Antarctic ice shelf. Nat. Clim. Change 7, 58–62 (2016).

Article 

Google Scholar 

Vignon, É., Roussel, M.-L., Gorodetskaya, I. V., Genthon, C. & Berne, A. Present and future of rainfall in Antarctica. Geophys. Res. Lett. 48, e2020GL092281 (2021).

Article 

Google Scholar 

Van Tricht, K., Lhermitte, S., Gorodetskaya, I. V. & van Lipzig, N. P. M. Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach. Cryosphere 10, 2379–2397 (2016).

Article 

Google Scholar 

Tuckett, P. et al. Automated mapping of the seasonal evolution of surface meltwater and its links to climate on the Amery Ice Shelf, Antarctica. Cryosphere https://doi.org/10.5194/tc-2021-177 (2021).

Trusel, L. D., Pan, Z. & Moussavi, M. Repeated tidally induced hydrofracture of a supraglacial lake at the Amery Ice Shelf grounding zone. Geophys. Res. Lett. https://doi.org/10.1029/2021GL095661 (2022).

Stokes, C. R., Sanderson, J. E., Miles, B. W. J., Jamieson, S. S. R. & Leeson, A. A. Widespread distribution of supraglacial lakes around the margin of the East Antarctic Ice Sheet. Sci. Rep. 9, 13823 (2019).

Article 

Google Scholar 

Arthur, J. F. et al. The triggers of the disaggregation of Voyeykov Ice Shelf (2007), Wilkes Land, East Antarctica, and its subsequent evolution. J. Glaciol. 67, 933–951 (2021).

Article 

Google Scholar 

Corr, D., Leeson, A., Mcmillan, M., Zhang, C. & Barnes, T. An inventory of supraglacial lakes and channels across the West Antarctic Ice Sheet. Earth Syst. Sci. Data 14, 209–228 (2022).

Article 

Google Scholar 

Kingslake, J., Ely, J. C., Das, I. & Bell, R. E. Widespread movement of meltwater onto and across Antarctic ice shelves. Nature 544, 349–352 (2017).

Article 
CAS 

Google Scholar 

Hersbach, H. et al. The ERA5 global reanalysis. Q. J. R. Meteorol. Soc. 146, 1999–2049 (2020).

Article 

Google Scholar 

Dee, D. P. et al. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137, 553–597 (2011).

Article 

Google Scholar 

Van de Berg, W. J. & Medley, B. Brief communication: upper-air relaxation in RACMO2 significantly improves modelled interannual surface mass balance variability in Antarctica. Cryosphere 10, 459–463 (2016).

Article 

Google Scholar 

Bamber, J. & Gomez-Dans, J. A new 1 km digital elevation model of the Antarctic derived from combined satellite radar and laser data—part 1: data and methods. Cryosphere 3, 101–111 (2009).

Article 

Google Scholar 

Cook, A. J., Vaughan, D. G., Luckman, A. J. & Murray, T. A new Antarctic Peninsula glacier basin inventory and observed area changes since the 1940s. Antarct. Sci. 26, 614–624 (2014).

Article 

Google Scholar 

van Wessem, J. M., van den Broeke, M. R., Wouters, B. & Lhermitte, S. Data set: yearly RACMO2.3p2 variables, threshold temperature and Sentinel-2 melt pond volume. Zenodo https://doi.org/10.5281/zenodo.7334047 (2022).

Gettelman, A. et al. High climate sensitivity in the Community Earth System Model Version 2 (CESM2). Geophys. Res. Lett. 46, 8329–8337 (2019).

Article 

Google Scholar 

Smith, R. et al. The Parallel Ocean Program (POP) reference manual: ocean component of the Community Climate System Model (CCSM) and Community Earth System Model (CESM). Report LAUR-01853 (2010).

Bailey, D. et al. CESM CICE5 Users Guide (National Center for Atmospheric Research, 2018).

Eyring, V. et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geosci. Model Dev. 9, 1937–1958 (2016).

Article 

Google Scholar 

Danabasoglu, G. et al. The Community Earth System Model Version 2 (CESM2). J. Adv. Model. Earth Syst. 12, 1–35 (2020).

Article 

Google Scholar 

van Kampenhout, L. et al. Present-day Greenland ice sheet climate and surface mass balance in CESM2. J. Geophys. Res. Earth Surf. 125, 1–25 (2020).

Google Scholar 

van Wessem, J. M. Temperature thresholds. Zenodo https://doi.org/10.5281/zenodo.7346880 (2022).

Moussavi, M. S. et al. Antarctic supraglacial lake detection using Landsat 8 and Sentinel-2 imagery: towards continental generation of lake volumes. Remote Sens. 12, 1–19 (2020).

Article 

Google Scholar 

Barrett, S. Environment and Statecraft: The Strategy of Environmental Treaty-Making (Oxford Univ. Press, 2003).

Keohane, R. O. & Victor, D. G. Cooperation and discord in global climate policy. Nat. Clim. Change 6, 570–575 (2016).

Article 

Google Scholar 

Bättig, M. B. & Bernauer, T. National institutions and global public goods: are democracies more cooperative in climate change policy? Int. Organ. 63, 281–308 (2009).

Article 

Google Scholar 

Finnegan, J. J. Institutions, climate change, and the foundations of long-term policymaking. Comp. Polit. Stud. https://doi.org/10.1177/00104140211047416 (2022).

Harrison, K. & Sundstrom, L. M. in Global Commons, Domestic Decisions: The Comparative Politics of Climate Change (eds Harrison, K. & McIntosh Sundstrom, L.) 261–290 (The MIT Press, 2010).

Purdon, M. Advancing comparative climate change politics: theory and method. Glob. Environ. Polit. 15, 1–26 (2015).

Article 

Google Scholar 

Meckling, J. & Nahm, J. When do states disrupt industries? Electric cars and the politics of innovation. Rev. Int. Polit. Econ. 25, 505–529 (2018).

Article 

Google Scholar 

Hochstetler, K. & Kostka, G. Wind and solar power in Brazil and China: interests, state–business relations, and policy outcomes. Glob. Environ. Polit. 15, 74–94 (2015).

Meadowcroft, J. in Comparative Environmental Politics: Theory, Practice, and Prospects (eds Steinberg, P.F. and VanDeever, S.D.) 63–88 (MIT Press, 2012).

Duit, A., Feindt, P. H. & Meadowcroft, J. Greening Leviathan: the rise of the environmental state? Environ. Polit. 25, 1–23 (2016).

Article 

Google Scholar 

Dubash, N. K. Varieties of climate governance: the emergence and functioning of climate institutions. Environ. Polit. 30, 1–25 (2021).

Article 

Google Scholar 

Dubash, N. et al. National climate institutions complement targets and policies. Science 374, 690–693 (2021).

Article 
CAS 

Google Scholar 

Friedlingstein, P. et al. Global Carbon Budget 2019. Earth System Science Data 11, 1783–1838 (2019).

Scott, J. C. Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed (Yale Univ. Press, 2008).

Kingdon, J. W. & Stano, E. Agendas, Alternatives, and Public Policies (Little Brown, 1984).

Google Scholar 

Flachsland, C. & Levi, S. Germany’s Federal Climate Change Act. Environ. Polit. 30, 118–140 (2021).

Article 

Google Scholar 

Climate Change Laws of the World (Grantham Research Institute, accessed December 2021); https://climate-laws.org/

Mildenberger, M. The development of climate institutions in the United States. Environ. Polit. 30, 71–92 (2021).

Article 

Google Scholar 

Leinaweaver, J. & Thomson, R. Greener governments: partisan ideologies, executive institutions, and environmental policies. Environ. Polit. 25, 633–660 (2016).

Article 

Google Scholar 

Laird, F. N. & Stefes, C. The diverging paths of German and United States policies for renewable energy: sources of difference. Energy Policy 37, 2619–2629 (2009).

Article 

Google Scholar 

Hess, D. J. & Renner, M. Conservative political parties and energy transitions in Europe: opposition to climate mitigation policies. Renew. Sustain. Energy Rev. 104, 419–428 (2019).

Article 

Google Scholar 

Coppedge, M. et al. V-Dem Dataset v11.1. (2021); https://doi.org/10.2139/ssrn.3831905

Commander, S. A Guide to the Political Economy of Reforming Energy Subsidies IZA Working Paper 52 (Institute for Labor Studies, 2012).

Kyle, J. Local corruption and popular support for fuel subsidy reform in Indonesia. Comp. Polit. Stud. 51, 1472–1503 (2018).

Article 

Google Scholar 

Witt, M. A. et al. Mapping the business systems of 61 major economies: a taxonomy and implications for varieties of capitalism and business systems research. Socio-Econ. Rev. 16, 5–38 (2018).

Article 

Google Scholar 

Lockwood, M. A hard Act to follow? The evolution and performance of UK climate governance. Environ. Polit. 30, 26–48 (2021).

Article 

Google Scholar 

Hochstetler, K. Climate institutions in Brazil: three decades of building and dismantling climate capacity. Environ. Polit. 30, 49–70 (2021).

Article 

Google Scholar 

Tyler, E. & Hochstetler, K. Institutionalising decarbonisation in South Africa: navigating climate mitigation and socio-economic transformation. Environ. Polit. 30, 184–205 (2021).

Article 

Google Scholar 

The Climate Action Tracker (Climate Analytics and New Climate Institute, accessed May 2022); https://climateactiontracker.org/

Climate Change Performance Index (Germanwatch, accessed May 2022); https://ccpi.org/

Government of Iran. Iran Second National Communication to the UNFCCC (UNDP, 2010).

Madden, N. J. Green means stop: veto players and their impact on climate-change policy outputs. Environ. Polit. 23, 570–589 (2014).

Article 

Google Scholar 

Lamb, W. F. & Minx, J. C. The political economy of national climate policy: architectures of constraint and a typology of countries. Energy Res. Soc. Sci. 64, 101429 (2020).

Article 

Google Scholar 

Iversen, T. & Soskice, D. Electoral institutions and the politics of coalitions: why some democracies redistribute more than others. Am. Polit. Sci. Rev. 100, 165–181 (2006).

Article 

Google Scholar 

Swank, D. Global Capital, Political Institutions, and Policy Change in Developed Welfare States (Cambridge Univ. Press, 2002).

Painter, M. & Peters, B. G. in Tradition and Public Administration (eds Painter, M. & Peters, B. G.) 19–30 (Palgrave Macmillan, 2010).

Lee, T. & Van de Meene, S. Who teaches and who learns? Policy learning through the C40 cities climate network. Policy Sci. 45, 199–220 (2012).

Article 

Google Scholar 

Friedlingstein, P. et al. Global carbon budget 2020. Earth Syst. Sci. Data 12, 3269–3340 (2020).

Article 

Google Scholar 

Khan, M. H. Political Settlements and the Governance of Growth-Enhancing Institutions (SOAS Department of Economics, 2010).

Duit, A., Feindt, P. H. & Meadowcroft, J. Greening Leviathan: the rise of the environmental state? Environ. Polit. 25, 1–23 (2016).

Article 

Google Scholar 

Carhart, M., Litterman, B., Munnings, C. & Vitali, O. Measuring comprehensive carbon prices of national climate policies. Clim. Policy 22, 198–207 (2022).

Article 

Google Scholar 

World Development Indicators (World Bank, accessed November 2021); https://databank.worldbank.org/source/world-development-indicators

Dooley, K. et al. Ethical choices behind quantifications of fair contributions under the Paris Agreement. Nat. Clim. Change 11, 300–305 (2021).

Article 

Google Scholar 

Task Force on National Greenhouse Gas Inventories (TFI). 2019 refinement to the 2006 IPCC guidelines for national greenhouse gas inventories. https://www.ipcc.ch/report/2019-refinement-to-the-2006-ipcc-guidelines-for-national-greenhouse-gas-inventories/ (2019).

Climate Policy Database (NewClimate Institute, accessed November 2021); https://climatepolicydatabase.org/

Visser, J. ICTWSS: Database on Institutional Characteristics of Trade Unions, Wage Setting, State Intervention and Social Pacts in 34 countries between 1960 and 2014 (Amsterdam Institute for Advanced Labor Studies, 2014).

Henisz, V. The Political Constraint Index (POLCON) Dataset, 2017 version (Univ. Pennsylvania, 2017).

Choat, B. et al. Triggers of tree mortality under drought. Nature 558, 531–539 (2018).

Article 
CAS 

Google Scholar 

DeSoto, L. et al. Low growth resilience to drought is related to future mortality risk in trees. Nat. Commun. 11, 545 (2020).

Article 
CAS 

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 

Schwalm, C. R. et al. Global patterns of drought recovery. Nature 548, 202–205 (2017).

Article 
CAS 

Google Scholar 

IPCC. Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).

Gazol, A. et al. Forest resilience to drought varies across biomes. Glob. Change Biol. 24, 2143–2158 (2018).

Wu, X. et al. Differentiating drought legacy effects on vegetation growth over the temperate Northern Hemisphere. Glob. Change Biol. 24, 504–516 (2018).

Article 

Google Scholar 

Anderegg, W. R. L. et al. Pervasive drought legacies in forest ecosystems and their implications for carbon cycle models. Science 349, 528–532 (2015).

Article 
CAS 

Google Scholar 

Li, X. et al. Temporal trade-off between gymnosperm resistance and resilience increases forest sensitivity to extreme drought. Nat. Ecol. Evol. 4, 1075–1083 (2020).

Article 

Google Scholar 

Kannenberg, S. A. et al. Drought legacies are dependent on water table depth, wood anatomy and drought timing across the eastern US. Ecol. Lett. 22, 119–127 (2019).

Article 

Google Scholar 

Lian, X. et al. Summer soil drying exacerbated by earlier spring greening of northern vegetation. Sci. Adv. 6, eaax0255 (2020).

Article 

Google Scholar 

Piao, S. et al. Plant phenology and global climate change: current progresses and challenges. Glob. Change Biol. 25, 1922–1940 (2019).

Article 

Google Scholar 

Bastos, A. et al. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity. Sci. Adv. 6, eaba2724 (2020).

Article 
CAS 

Google Scholar 

Buermann, W. et al. Widespread seasonal compensation effects of spring warming on northern plant productivity. Nature 562, 110–114 (2018).

Article 
CAS 

Google Scholar 

Lian, X. et al. Seasonal biological carryover dominates northern vegetation growth. Nat. Commun. 12, 983 (2021).

Myneni, R. B. et al. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 386, 698–702 (1997).

Article 
CAS 

Google Scholar 

Jeong, S. J. et al. Application of satellite solar-induced chlorophyll fluorescence to understanding large-scale variations in vegetation phenology and function over northern high latitude forests. Remote Sens. Environ. 190, 178–187 (2017).

Article 

Google Scholar 

Zeng, Z. et al. Legacy effects of spring phenology on vegetation growth under preseason meteorological drought in the Northern Hemisphere. Agric. Meteorol. 310, 108630 (2021).

Article 

Google Scholar 

Kelsey, K. C. et al. Winter snow and spring temperature have differential effects on vegetation phenology and productivity across Arctic plant communities. Glob. Change Biol. 27, 1572–1586 (2021).

Article 

Google Scholar 

Wang, X. et al. Disentangling the mechanisms behind winter snow impact on vegetation activity in northern ecosystems. Glob. Change Biol. 24, 1651–1662 (2018).

Article 

Google Scholar 

IPCC. Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2021).

Pinzon, J. E. & Tucker, C. J. A non-stationary 1981–2012 AVHRR NDVI3g time series. Remote Sens. 6, 6929–6960 (2014).

Article 

Google Scholar 

Magney, T. S. et al. Mechanistic evidence for tracking the seasonality of photosynthesis with solar-induced fluorescence. Proc. Natl Acad. Sci. USA 116, 11640–11645 (2019).

Article 
CAS 

Google Scholar 

Zhang, Y. et al. Large and projected strengthening moisture limitation on end-of-season photosynthesis. Proc. Natl Acad. Sci. USA 117, 9216–9222 (2020).

Article 
CAS 

Google Scholar 

Liu, Y. Y. et al. Global long-term passive microwave satellite-based retrievals of vegetation optical depth. Geophys. Res. Lett. 38, L18402 (2011).

Article 

Google Scholar 

Beguería, S. et al. Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int. J. Climatol. 34, 3001–3023 (2014).

Article 

Google Scholar 

Wolf, S. et al. Warm spring reduced carbon cycle impact of the 2012 US summer drought. Proc. Natl Acad. Sci. USA 113, 5880–5885 (2016).

Article 
CAS 

Google Scholar 

D’Andrea, E. et al. Unravelling resilience mechanisms in forests: role of non-structural carbohydrates in responding to extreme weather events. Tree Physiol. 41, 1808–1818 (2021).

Article 

Google Scholar 

Yun, J. et al. Influence of winter precipitation on spring phenology in boreal forests. Glob. Change Biol. 24, 5176–5187 (2018).

Article 

Google Scholar 

Xie, J. et al. Spring temperature and snow cover climatology drive the advanced springtime phenology (1991–2014) in the European Alps. J. Geophys. Res. Biogeosci. 126, e2020JG006150 (2021).

Xie, J. et al. Altitude-dependent influence of snow cover on alpine land surface phenology. J. Geophys. Res. Biogeosci. 122, 1107–1122 (2017).

Article 

Google Scholar 

Peng, S. et al. Change in winter snow depth and its impacts on vegetation in China. Glob. Change Biol. 16, 3004–3013 (2010).

Google Scholar 

Wu, X. et al. Uneven winter snow influence on tree growth across temperate China. Glob. Change Biol. 25, 144–154 (2019).

Article 

Google Scholar 

Angert, A. et al. Drier summers cancel out the CO₂ uptake enhancement induced by warmer springs. Proc. Natl Acad. Sci. USA 102, 10823–10827 (2005).

Article 
CAS 

Google Scholar 

Musselman, K. N. et al. Winter melt trends portend widespread declines in snow water resources. Nat. Clim. Change 11, 418–424 (2021).

Article 

Google Scholar 

Kreyling, J. Winter climate change: a critical factor for temperate vegetation performance. Ecology 91, 1939–1948 (2010).

Article 

Google Scholar 

Bose, A. K. et al. Growth and resilience responses of Scots pine to extreme droughts across Europe depend on predrought growth conditions. Glob. Change Biol. 26, 4521–4537 (2020).

Article 

Google Scholar 

Martinez-Vilalta, J. et al. Hydraulic adjustment of Scots pine across Europe. New Phytol. 184, 353–364 (2009).

Article 
CAS 

Google Scholar 

Klein, T. et al. Drought stress, growth and nonstructural carbohydrate dynamics of pine trees in a semi-arid forest. Tree Physiol. 34, 981–992 (2014).

Article 
CAS 

Google Scholar 

Kannenberg, S. A. & Phillips, R. P. Non-structural carbohydrate pools not linked to hydraulic strategies or carbon supply in tree saplings during severe drought and subsequent recovery. Tree Physiol. 40, 259–271 (2020).

Article 
CAS 

Google Scholar 

Karst, J. et al. Stress differentially causes roots of tree seedlings to exude carbon. Tree Physiol. 37, 154–164 (2017).

CAS 

Google Scholar 

Chitra-Tarak, R. et al. Hydraulically-vulnerable trees survive on deep-water access during droughts in a tropical forest. New Phytol. 231, 1798–1813 (2021).

Article 

Google Scholar 

Jiao, W. et al. Observed increasing water constraint on vegetation growth over the last three decades. Nat. Commun. 12, 3777 (2021).

Wu, X. et al. Higher temperature variability reduces temperature sensitivity of vegetation growth in Northern Hemisphere. Geophys. Res. Lett. 44, 6173–6181 (2017).

Article 

Google Scholar 

Anderegg, W. R. L. et al. Widespread drought-induced tree mortality at dry range edges indicates that climate stress exceeds species’ compensating mechanisms. Glob. Change Biol. 25, 3793–3802 (2019).

Article 

Google Scholar 

Martin-Benito, D. & Pederson, N. Convergence in drought stress, but a divergence of climatic drivers across a latitudinal gradient in a temperate broadleaf forest. J. Biogeogr. 42, 925–937 (2015).

Article 

Google Scholar 

Tucker, C. J. et al. An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. Int. J. Remote Sens. 26, 4485–4498 (2005).

Article 

Google Scholar 

Vicente-Serrano, S. M. et al. Response of vegetation to drought time-scales across global land biomes. Proc. Natl Acad. Sci. USA 110, 52–57 (2013).

Article 
CAS 

Google Scholar 

Zhang, W. et al. Divergent response of vegetation growth to soil water availability in dry and wet periods over Central Asia. J. Geophys. Res. Biogeosci. 126, e2020JG005912 (2021).

Article 

Google Scholar 

Richardson, A. D. et al. Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agric. For. Meteorol. 169, 156–173 (2013).

Article 

Google Scholar 

Piao, S. et al. Characteristics, drivers and feedbacks of global greening. Nat. Rev. Earth Environ. 1, 14–27 (2020).

Article 

Google Scholar 

Liang, W. et al. Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010. Agric. For. Meteorol. 204, 22–36 (2015).

Article 

Google Scholar 

Zhang, Y. et al. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences 15, 5779–5800 (2018).

Article 
CAS 

Google Scholar 

Jones, M. O. et al. Satellite passive microwave remote sensing for monitoring global land surface phenology. Remote Sens. Environ. 115, 1102–1114 (2011).

Article 

Google Scholar 

Konings, A. G. et al. Interannual variations of vegetation optical depth are due to both water stress and biomass changes. Geophys. Res. Lett. 48, e2021GL095267 (2021).

Article 

Google Scholar 

Du, J. et al. A global satellite environmental data record derived from AMSR-E and AMSR2 microwave Earth observations. Earth Syst. Sci. Data 9, 791–808 (2017).

Article 

Google Scholar 

Harris, I. et al. Updated high-resolution grids of monthly climatic observations—the CRU TS3.10 Dataset. Int. J. Climatol. 34, 623–642 (2014).

Article 

Google Scholar 

Barichivich, J. et al. Temperature and snow-mediated moisture controls of summer photosynthetic activity in northern terrestrial ecosystems between 1982 and 2011. Remote Sens. 6, 1390–1431 (2014).

Article 

Google Scholar 

Vicente-Serrano, S. M., Begueria, S. & Lopez-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 

Wieder, W. R. et al. Regridded Harmonized World Soil Database v1.2 (ORNL DAAC, 2014); https://doi.org/10.3334/ORNLDAAC/1247

Kottek, M. et al. World map of the Koppen–Geiger climate classification updated. Meteorol. Z. 15, 259–263 (2006).

Article 

Google Scholar 

Jakubauskas, M. E., Legates, D. R. & Kastens, J. H. Harmonic analysis of time-series AVHRR NDVI data. Photogramm. Eng. Remote Sens. 67, 461–470 (2001).

Google Scholar 

Liu, Q. et al. Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China. Glob. Change Biol. 22, 644–655 (2016).

Article 
CAS 

Google Scholar 

Fu, Y. H. et al. Recent spring phenology shifts in western Central Europe based on multiscale observations. Glob. Ecol. Biogeogr. 23, 1255–1263 (2014).

Article 

Google Scholar 

Jiang, P. et al. Enhanced growth after extreme wetness compensates for post-drought carbon loss in dry forests. Nat. Commun. 10, 195 (2019).

Delgado-Baquerizo, M. et al. Microbial diversity drives multifunctionality in terrestrial ecosystems. Nat. Commun. 7, 10541 (2016).

Pham, L. T. H. & Brabyn, L. Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms. ISPRS J. Photogramm. Remote Sens. 128, 86–97 (2017).

Article 

Google Scholar 

Breiman, L. Random forests. Mach. Learn. 45, 5–32 (2001).

Article 

Google Scholar 

Li, Y. Code for ‘Widespread spring phenology effects on drought recovery of Northern Hemisphere ecosystems’. GitHub https://github.com/leeyang1991/phenology-effects-on-drought-recovery (2022).

Smith, A. B. U.S. Billion-dollar Weather and Climate Disasters, 1980–present (NCEI, 2021); https://doi.org/10.25921/stkw-7w73

Chen, X., Hossain, F. & Leung, L. R. Probable maximum precipitation in the U.S. Pacific Northwest in a Changing Climate. Water Resour. Res. 53, 9600–9622 (2017).

Article 

Google Scholar 

Manual on Estimation of Probable Maximum Precipitation (PMP) (WMO, 2009); https://library.wmo.int/index.php?lvl=notice_display&id=1302#.Y57lHnbP3IU

Pahl-Wostl, C. et al. Towards a sustainable water future: shaping the next decade of global water research. Curr. Opin. Environ. Sustain. 5, 708–714 (2013).

Article 

Google Scholar 

Westra, S. et al. Future changes to the intensity and frequency of short-duration extreme rainfall. Rev. Geophys. 52, 522–555 (2014).

Article 

Google Scholar 

Prein, A. F. et al. The future intensification of hourly precipitation extremes. Nat. Clim. Change 7, 48–52 (2016).

Google Scholar 

Trenberth, K. E., Dai, A., Rasmussen, R. M. & Parsons, D. B. The changing character of precipitation. Bull. Am. Meteorol. Soc. 84, 1205–1218 (2003).

Article 

Google Scholar 

Pendergrass, A. G. et al. Nonlinear response of extreme precipitation to warming in CESM1. Geophys. Res. Lett. 46, 10551–10560 (2019).

Article 

Google Scholar 

Berg, N. & Hall, A. Increased interannual precipitation extremes over california under climate change. J. Clim. 28, 6324–6334 (2015).

Article 

Google Scholar 

Swain, D. L., Langenbrunner, B., Neelin, J. D. & Hall, A. Increasing precipitation volatility in twenty-first-century California. Nat. Clim. Change 8, 427–433 (2018).

Article 

Google Scholar 

Lamjiri, M. A., Ralph, F. M. & Dettinger, M. D. Recent changes in United States extreme 3-day precipitation using the R-CAT Scale. J. Hydrometeorol. 21, 1207–1221 (2020).

Article 

Google Scholar 

Wrzesien, M. L. & Pavelsky, T. M. Projected changes to extreme runoff and precipitation events from a downscaled simulation over the Western United States. Front. Earth Sci. 7, 355 (2020).

Article 

Google Scholar 

Huang, X., Swain, D. L. & Hall, A. D. Future precipitation increase from very high resolution ensemble downscaling of extreme atmospheric river storms in California. Sci. Adv. 6, eaba1323 (2020).

Article 

Google Scholar 

Prein, A. F. et al. A review on regional convection-permitting climate modeling: demonstrations, prospects, and challenges. Rev. Geophys. 53, 323–361 (2015).

Article 

Google Scholar 

Pfahl, S., O’Gorman, P. A. & Fischer, E. M. Understanding the regional pattern of projected future changes in extreme precipitation. Nat. Clim. Change 7, 423–427 (2017).

Article 

Google Scholar 

Chen, X. et al. Predictability of extreme precipitation in Western U.S. watersheds based on atmospheric river occurrence, intensity, and duration. Geophys. Res. Lett. 45, 11693–11701 (2018).

Article 

Google Scholar 

Wright, D. B., Smith, J. A. & Baeck, M. L. Critical examination of area reduction factors. J. Hydrol. Eng. 19, 769–776 (2014).

Article 

Google Scholar 

Liu, C. et al. Continental-scale convection-permitting modeling of the current and future climate of North America. Clim. Dyn. 49, 71–95 (2017).

Article 

Google Scholar 

Musselman, K. N. et al. Projected increases and shifts in rain-on-snow flood risk over western North America. Nat. Clim. Change 8, 808–812 (2018).

Article 

Google Scholar 

Musselman, K. N., Clark, M. P., Liu, C., Ikeda, K. & Rasmussen, R. Slower snowmelt in a warmer world. Nat. Clim. Change 7, 214–219 (2017).

Article 

Google Scholar 

Scaff, L. et al. Simulating the convective precipitation diurnal cycle in North America’s current and future climate. Clim. Dyn. 55, 369–382 (2020).

Article 

Google Scholar 

Dettinger, M. D., Ralph, F. M., Das, T., Neiman, P. J. & Cayan, D. R. Atmospheric rivers, floods and the water resources of California. Water 3, 445–478 (2011).

Article 

Google Scholar 

Hughes, M. et al. The landfall and inland penetration of a flood-producing atmospheric river in Arizona. Part II: sensitivity of modeled precipitation to terrain height and atmospheric river orientation. J. Hydrometeorol. 15, 1954–1974 (2014).

Article 

Google Scholar 

Ryoo, J.-M. et al. Terrain trapped airflows and precipitation variability during an atmospheric river event. J. Hydrometeorol. 21, 355–375 (2020).

Article 

Google Scholar 

Ralph, F. M., Neiman, P. J. & Rotunno, R. Dropsonde observations in low-level jets over the northeastern pacific ocean from CALJET-1998 and PACJET-2001: mean vertical-profile and atmospheric-river characteristics. Mon. Weather Rev. 133, 889–910 (2005).

Article 

Google Scholar 

Corringham, T. W., Ralph, F. M., Gershunov, A., Cayan, D. R. & Talbot, C. A. Atmospheric rivers drive flood damages in the western United States. Sci. Adv. 5, eaax4631 (2019).

Article 

Google Scholar 

Leung, L. R. & Qian, Y. Atmospheric rivers induced heavy precipitation and flooding in the western U.S. simulated by the WRF regional climate model. Geophys. Res. Lett. 36, L03820 (2009).

Article 

Google Scholar 

Loriaux, J. M., Lenderink, G. & Siebesma, A. P. Peak precipitation intensity in relation to atmospheric conditions and large-scale forcing at midlatitudes. J. Geophys. Res. Atmos. 121, 5471–5487 (2016).

Article 

Google Scholar 

Kunkel, K. E. et al. Probable maximum precipitation and climate change. Geophys. Res. Lett. 40, 1402–1408 (2013).

Article 

Google Scholar 

Davies, L., Jakob, C., May, P., Kumar, V. V. & Xie, S. Relationships between the large-scale atmosphere and the small-scale convective state for Darwin, Australia. J. Geophys. Res. Atmos. 118, 11,534–11,545 (2013).

Matte, D., Christensen, J. H. & Ozturk, T. Spatial extent of precipitation events: when big is getting bigger. Clim. Dyn. 58, 1861–1875 (2022).

Article 

Google Scholar 

Hansen, E. M., Fenn, D. D., Corrigan, P. & Vogel, J. L. Hydrometerological Report No. 57 (US Department of Army Corps of Engineers, 1994); https://www.weather.gov/media/owp/hdsc_documents/PMP/HMR57.pdf

Corrigan, P., Fenn, D. D., Kluck, D. R. & Vogel, J. L. Hydrometerological Report No. 59 (US Department of Commerce, 1999); https://www.weather.gov/media/owp/hdsc_documents/PMP/HMR59.pdf

Hansen, E. M., Schwarz, F. K. & Riedel, J. T. Hydrometerological Report No. 49 (US Depertment of Commerce, 1984); https://www.weather.gov/media/owp/hdsc_documents/PMP/HMR49.pdf

Kotz, M., Levermann, A. & Wenz, L. The effect of rainfall changes on economic production. Nature 601, 223–227 (2022).

Article 
CAS 

Google Scholar 

Gao, Y. et al. Dynamical and thermodynamical modulations on future changes of landfalling atmospheric rivers over western North America. Geophys. Res. Lett. 42, 7179–7186 (2015).

Article 

Google Scholar 

Prein, A. F. et al. Increased rainfall volume from future convective storms in the US. Nat. Clim. Change 7, 880–884 (2017).

Wasko, C., Sharma, A. & Westra, S. Reduced spatial extent of extreme storms at higher temperatures. Geophys. Res. Lett. 43, 4026–4032 (2016).

Article 

Google Scholar 

Fletcher, S., Lickley, M. & Strzepek, K. Learning about climate change uncertainty enables flexible water infrastructure planning. Nat. Commun. 10, 1782 (2019).

Article 

Google Scholar 

Lopez-Cantu, T., Prein, A. F. & Samaras, C. Uncertainties in future U.S. extreme precipitation from downscaled climate projections. Geophys. Res. Lett. 47, e2019GL086797 (2020).

Article 

Google Scholar 

Skamarock, W. C. et al. A Description of the Advanced Research WRF Version 3 (NCAR, 2008); https://doi.org/10.5065/D68S4MVH

Gao, Y., Leung, R. L., Zhao, C. & Hagos, S. Sensitivity of U.S. summer precipitation to model resolution and convective parameterizations across gray zone resolutions. J. Geophys. Res. Atmos. 122, 2714–2733 (2017).

Article 

Google Scholar 

Mesinger, F. et al. North American regional reanalysis. Bull. Am. Meteorol. Soc. 87, 343–360 (2006).

Article 

Google Scholar 

Daly, C. et al. Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. Int. J. Climatol. 28, 2031–2064 (2008).

Article 

Google Scholar 

Chen, X., Duan, Z., Leung, L. R. & Wigmosta, M. A framework to delineate precipitation-runoff regimes: precipitation versus snowpack in the Western United States. Geophys. Res. Lett. 46, 13044–13053 (2019).

Article 

Google Scholar 

Rupp, D. E., Abatzoglou, J. T., Hegewisch, K. C. & Mote, P. W. Evaluation of CMIP5 20th century climate simulations for the Pacific Northwest USA. J. Geophys. Res. Atmos. 118, 10,884–10,906 (2013).

Article 

Google Scholar 

Chen, X. et al. Precipitation objects under the current and future climate: WRF 6-km hydroclimate simulation of the western US. Zenodo https://doi.org/10.5281/zenodo.6378027 (2022).

Chen, X., Leung, L. R., Gao, Y., Liu, Y. & Wigmosta, M. S. Sharpening of cold season storms over the western US: companion dataset. Zenodo https://doi.org/10.5281/zenodo.7392256 (2022).

Matoza, R. S. et al. Atmospheric waves and global seismoacoustic observations of the January 2022 Hunga eruption, Tonga. Science 377, 95–100 (2022).

Global Sulfur Dioxide Monitoring Home Page (NASA, 2022); https://so2.gsfc.nasa.gov/

Hunga Tonga–Hunga Ha’apai (Smithsonian Institution, 2022); https://volcano.si.edu/volcano.cfm?vn=243040

León, J. A. P. Monitoring the Atmospheric Impacts of the Hunga-Tonga Eruption (ECMWF, 2022); https://www.ecmwf.int/en/newsletter/171/news/monitoring-atmospheric-impacts-hunga-tonga-eruption

Millán, L. et al. The Hunga Tonga–Hunga Ha’apai hydration of the stratosphere. Geophys. Res. Lett. 49, e2022GL099381 (2022).

Article 

Google Scholar 

Guo, S., Bluth, G., Rose, W., Watson, M. & Prata, A. Re-evaluation of SO₂ release of the 15 June 1991 Pinatubo eruption using ultraviolet and infrared satellite sensors. Geochem. Geophys. Geosys. https://doi.org/10.1029/2003GC000654 (2004).

Sellitto, P. et al. The unexpected radiative impact of the Hunga Tonga eruption of January 15th, 2022. Commun. Earth. Environ. 3, 288 (2022).

Zhang, H. et al. Potential impact of Tonga volcano eruption on global mean surface air temperature. J. Meteorol. Res. 36, 1–5 (2022).

Article 

Google Scholar 

Zhu, Y. et al. Perturbations in stratospheric aerosol evolution due to the water-rich plume of the 2022 Hunga-Tonga eruption. Commun. Earth Environ. 3, 248 (2022).

Article 

Google Scholar 

WMO Update: 50:50 Chance of Global Temperature Temporarily Reaching 1.5 °C Threshold in Next Five Years (WMO, 2022); https://public.wmo.int/en/media/press-release/wmo-update-5050-chance-of-global-temperature-temporarily-reaching-15%C2%B0c-threshold

Hermanson, L. et al. WMO global annual to decadal climate update: a prediction for 2021–2025. Bull. Am. Meteorol. Soc. 103, E1117–E1129 (2022).

Article 

Google Scholar 

Meinshausen, M. et al. The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500. Geosci. Model Dev. 13, 3571–3605 (2020).

Article 
CAS 

Google Scholar 

Boer, G. J. et al. The Decadal Climate Prediction Project (DCPP) contribution to CMIP6. Geosci. Model Dev. 9, 3751–3777 (2016).

Article 

Google Scholar 

Edwards, J. M. & Slingo, A. Studies with a flexible new radiation code. I: Choosing a configuration for a large-scale model. Q. J. R. Meteorol. Soc. 122, 689–719 (1996).

Article 

Google Scholar 

Manners, J., Edwards, J. M., Hill, P. & Thelen, J.-C. SOCRATES Technical Guide Suite Of Community Radiative Transfer Codes Based on Edwards and Slingo (Univ. Leeds, 2017).

Hersbach, H. et al. The ERA5 global reanalysis. Q. J. R. Meteorol. Soc. 146, 1999–2049 (2020).

Article 

Google Scholar 

Zuo, M. et al. Volcanoes and climate: sizing up the impact of the recent Hunga Tonga–Hunga Ha’apai volcanic eruption from a historical perspective. Adv. Atmos. Sci. 39, 986–1993 (2022).

Schoeberl, M. R. et al. Analysis and impact of the Hunga Tonga–Hunga Ha’apai stratospheric water vapor plume. Geophys. Res. Lett. 49, e2022GL100248 (2022).

Smith, C. et al. in Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) Annex III (IPCC, Cambridge Univ. Press, 2021).

Leach, N. J. et al. FaIRv2.0.0: a generalized impulse response model for climate uncertainty and future scenario exploration. Geosci. Model Dev. 14, 3007–3036 (2021).

Article 
CAS 

Google Scholar 

IPCC: Summary for Policymakers. In Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2021).

ERA5 Monthly Averaged Data on Pressure Levels From 1979 to Present (Copernicus Climate Change Service, 2019); https://doi.org/10.24381/CDS.6860A573

Copernicus Climate Change Service. ERA5 monthly averaged data on single levels from 1979 to present (2019); https://doi.org/10.24381/CDS.F17050D7

Forster, P. M. et al. Recommendations for diagnosing effective radiative forcing from climate models for CMIP6. J. Geophys. Res. 121, 460–12,475 (2016).

Article 

Google Scholar 

Hansen, J. et al. Efficacy of climate forcings. J. Geophys. Res. https://doi.org/10.1029/2005JD005776 (2005).

Myhre, G. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) Ch. 8 (IPCC, Cambridge Univ. Press, 2013).

Smith, C. et al. IPCC Working Group 1 (WG1) Sixth Assessment Report (AR6) Annex III Extended Data (2021); https://doi.org/10.5281/zenodo.5705391

Jenkins, S., Smith, C., Allen, M. & Grainger, R. Code and data for ‘Tonga eruption increases chance of temporary surface temperature anomaly above 1.5 °C’. Zenodo https://doi.org/10.5281/zenodo.7319240 (2022).