Philippa Kaur

Runyon, J. B., Butler, J. L., Friggens, M. M., Meyer, S. E. & Sing, S. E. Invasive species and climate change. USDA For. Serv. 285, 97–115 (2012).
Google Scholar 
Murphy, G. E. & Romanuk, T. N. A meta-analysis of declines in local species richness from human disturbances. Ecol. Evol. 4, 91–103 (2014).Article 

Google Scholar 
Mollot, G., Pantel, J. H. & Romanuk, T. N. The effects of invasive species on the decline in species richness: a global meta-analysis. Adv. Ecol. Res. 56, 61–83 (2017).Article 

Google Scholar 
Gaertner, M., Den Breeyen, A., Hui, C. & Richardson, D. M. Impacts of alien plant invasions on species richness in Mediterranean-type ecosystems: A meta-analysis. Prog. Phys. Geog. 33, 319–338 (2009).Article 

Google Scholar 
Vilà, M. et al. Local and regional assessments of the impacts of plant invaders on vegetation structure and soil properties of Mediterranean islands. J. Biogeogr. 33, 853–861 (2010).Article 

Google Scholar 
Hejda, M., Pysek, P. & Jarosik, V. Impact of invasive plants on the species richness, diversity and composition of invaded communities. J. Ecol. 97, 393–403 (2009).Article 

Google Scholar 
Powell, K. I., Chase, J. M. & Knight, T. M. A synthesis of plant invasion effects on biodiversity across spatial scales. Am. J. Bot. 98, 539–548 (2011).Article 

Google Scholar 
Ehrenfeld, J. G. Effects of exotic plant invasions on soil nutrient cycling processes. Ecosystems 6, 503–523 (2003).Article 
CAS 

Google Scholar 
Liao, C. et al. Altered ecosystem carbon and nitrogen cycles by plant invasion: A meta-analysis. New Phytol. 177, 706–714 (2008).Article 
CAS 

Google Scholar 
Chabrerie, O., Laval, K., Puget, P., Desaire, S. & Alard, D. Relationship between plant and soil microbial communities along a successional gradient in a chalk grassland in north-western France. Appl. Soil Ecol. 24, 43–56 (2003).Article 

Google Scholar 
Harris, J. Soil microbial communities and restoration ecology: Facilitators or followers?. Science 325, 573–574 (2009).Article 
ADS 
CAS 

Google Scholar 
Dawson, W. & Schrama, M. Identifying the role of soil microbes in plant invasions. J. Ecol. 104, 1211–1218 (2016).Article 

Google Scholar 
Lankau, R. Soil microbial communities alter allelopathic competition between Alliaria petiolata and a native species. Biol. Invasions 12, 2059–2068 (2010).Article 

Google Scholar 
Siefert, A., Zillig, K. W., Friesen, M. L. & Strauss, S. Y. Soil microbial communities alter conspecific and congeneric competition consistent with patterns of field coexistence in three Trifolium congeners. J. Ecol. 106, 1876–1891 (2018).Article 
CAS 

Google Scholar 
Kourtev, P. S., Ehrenfeld, J. G. & Haggblom, M. Exotic plant species alter the microbial community structure and function in the soil. Ecology 83, 3152–3166 (2002).Article 

Google Scholar 
Li, W. H., Zhang, C. B., Jiang, H. B., Xin, G. R. & Yang, Z. Y. Changes in soil microbial community associated with invasion of the exotic weed, Mikania micrantha H.B.K. Plant Soil 281, 309–324 (2006).Article 
CAS 

Google Scholar 
Li, W. H., Zhang, C., Gao, G., Zan, Q. & Yang, Z. Relationship between Mikania micrantha invasion and soil microbial biomass, respiration and functional diversity. Plant Soil 296, 197–207 (2007).Article 
CAS 

Google Scholar 
Chen, X. P. et al. Exotic plant Alnus trabeculosa alters the composition and diversity of native rhizosphere bacterial communities of Phragmites australis. Pedosphere 26, 108–119 (2016).Article 

Google Scholar 
Yin, L., Liu, B., Wang, H., Zhang, Y. & Fan, W. The rhizosphere microbiome of Mikania micrantha provides insight into adaptation and invasion. Front. Microbiol. 11, 1462 (2020).Article 

Google Scholar 
Griffiths, B. S., Ritz, K. & Wheatley, R. E. Relationship between functional diversity and genetic diversity in complex microbial communities. In Microbial Communities (eds Insam, H. & Rangger, A.) 1–9 (Springer, 1997). https://doi.org/10.1007/978-3-642-60694-6_1.Chapter 

Google Scholar 
Pérez-Piqueres, A., Edel-Hermann, V., Alabouvette, C. & Steinberg, C. Response of soil microbial communities to compost amendments. Soil Biol. Biochem. 38, 460–470 (2006).Article 

Google Scholar 
Grime, J. P. Plant strategies and vegetation processes. Biol. Plant 23, 254–254 (1979).
Google Scholar 
Goldberg, D. & Novoplansky, A. On the relative importance of competition in unproductive environments. J. Ecol. 85, 409–418 (1997).Article 

Google Scholar 
Goldberg, D. E., Martina, J. P., Elgersma, K. J. & Currie, W. S. Plant size and competitive dynamics along nutrient gradients. Am. Nat. 190, 229–243 (2017).Article 

Google Scholar 
Castro-Díez, P., Godoy, O., Alonso, A., Gallardo, A. & Saldaña, A. What explains variation in the impacts of exotic plant invasions on the nitrogen cycle? A meta-analysis. Ecol. Lett. 17, 1–12 (2014).Article 

Google Scholar 
Chapuis-Lardy, L., Vanderhoeven, S., Dassonville, N., Koutika, L. S. & Meerts, P. Effect of the exotic invasive plant Solidago gigantea on soil phosphorus status. Biol. Fertil. Soils 42, 481–489 (2006).Article 

Google Scholar 
Thorpe, A. S., Archer, V. & DeLuca, T. H. The invasive forb, Centaurea maculosa, increases phosphorus availability in Montana grasslands. Appl. Soil Ecol. 32, 118–122 (2006).Article 

Google Scholar 
Hawkes, C. V., Wren, I. F., Herman, D. J. & Firestone, M. K. Plant invasion alters nitrogen cycling by modifying the soil nitrifying community. Ecol. Lett. 8, 976–985 (2005).Article 

Google Scholar 
Zhang, A. M., Chen, Z. H., Zhang, G. N., Chen, L. J. & Wu, Z. J. Soil phosphorus composition determined by 31P NMR spectroscopy and relative phosphatase activities influenced by land use. Eur. J. Soil Biol. 52, 73–77 (2012).Article 

Google Scholar 
Souza-Alonso, P., Novoa, A. & Gonzalez, L. Soil biochemical alterations and microbial community responses under Acacia dealbata Link invasion. Soil Biol. Biochem. 79, 100–108 (2014).Article 
CAS 

Google Scholar 
Callaway, M. et al. Exotic invasive plants increase productivity, abundance of ammonia-oxidizing bacteria and nitrogen availability in intermountain grasslands. J. Ecol. 104, 994–1002 (2016).Article 

Google Scholar 
Zhao, M. et al. Ageratina adenophora invasions are associated with microbially mediated differences in biogeochemical cycles. Sci. Total Environ. 677, 47–56 (2019).Article 
ADS 
CAS 

Google Scholar 
Litton, C. M., Sandquist, D. R. & Cordell, S. Effects of non-native grass invasion on aboveground carbon pools and tree population structure in a tropical dry forest of Hawaii. For. Ecol. Manag. 231, 105–113 (2006).Article 

Google Scholar 
Wolkovich, E. M., Lipson, D. A., Virginia, R. A., Cottingham, K. L. & Bolger, D. T. Grass invasion causes rapid increases in ecosystem carbon and nitrogen storage in a semiarid shrubland. Glob. Chang. Biol. 16, 1351–1365 (2010).Article 
ADS 

Google Scholar 
Sardans, J. et al. Plant invasion is associated with higher plant-soil nutrient concentrations in nutrient-poor environments. Glob. Chang. Biol. 23, 1282–1291 (2017).Article 
ADS 

Google Scholar 
Yu, H. et al. Soil nitrogen dynamics and competition during plant invasion: insights from Mikania micrantha invasions in China. New Phytol. 229, 3440–3452 (2021).Article 
CAS 

Google Scholar 
Day, M. D. et al. Biology and impacts of pacific islands invasive species. 13. Mikania micrantha Kunth (Asteraceae). Pac. Sci. 70, 257–285 (2016).Article 

Google Scholar 
Lowe, S., Browne, M., Boudjelas, S. & De Poorter, M. (eds) 100 of the World’s Worst Invasive Alien Species: A Selection from the Global Invasive Species Database. CID: 20.500.12592/drpzmz. (Auckland: Invasive Species Specialist Group, 2000).Zhang, L. Y., Ye, W. H., Cao, H. L. & Feng, H. L. Mikania micrantha H.B.K. in China: An overview. Weed Res. 44, 42–49 (2004).Article 

Google Scholar 
Manrique, V., Diaz, R., Cuda, J. P. & Overholt, W. A. Suitability of a new plant invader as a target for biological control in Florida. Invas. Plant Sci. Manag. 4, 1–10 (2011).Article 

Google Scholar 
Macanawai, A., Day, M., Tumaneng-Diete, T., Adkins, S. & Nausori, F. Impact of Mikania micrantha on crop production systems in Viti Levu, Fiji. Pak. J. Weed Sci. Res. 18, 357–365 (2012).
Google Scholar 
Carter, M. R. & Gregorich, E. G. (eds) Soil Sampling and Methods of Analysis 2nd edn. (CRC Press, 2007). https://doi.org/10.1201/9781420005271.Book 

Google Scholar 
Liu, X. et al. Will nitrogen deposition mitigate warming-increased soil respiration in a young subtropical plantation?. Agric. For. Meteorol. 246, 78–85 (2017).Article 
ADS 

Google Scholar 
Turner, B. L. & Wright, S. J. The response of microbial biomass and hydrolytic enzymes to a decade of nitrogen, phosphorus, and potassium addition in a lowland tropical rain forest. Biogeochemistry 117, 115–130 (2014).Article 
CAS 

Google Scholar 
Sun, S. & Badgley, B. D. Changes in microbial functional genes within the soil metagenome during forest ecosystem restoration. Soil Biol. Biochem. 135, 163–172 (2019).Article 
CAS 

Google Scholar 
Saiya-Cork, K. R., Sinsabaugh, R. L. & Zak, D. R. The effects of long term nitrogen deposition on extracellular enzyme activity in an Acer saccharum forest soil. Soil Biol. Biochem. 34, 1309–1315 (2002).Article 
CAS 

Google Scholar 
Dawkins, K. & Esiobu, N. The invasive brazilian pepper tree (Schinus terebinthifolius) is colonized by a root microbiome enriched with Alphaproteobacteria and unclassified Spartobacteria. Front. Microbiol. 9, 876 (2018).Article 

Google Scholar 
Carey, C. J., Beman, J. M., Eviner, V. T., Malmstrom, C. M. & Hart, S. C. Soil microbial community structure is unaltered by plant invasion, vegetation clipping, and nitrogen fertilization in experimental semi-arid grasslands. Front. Microbiol. 6, 466 (2015).Article 

Google Scholar 
Strickland, M. S., Osburn, E., Lauber, C., Fierer, N. & Bradford, M. A. Litter quality is in the eye of the beholder: Initial decomposition rates as a function of inoculum characteristics. Funct. Ecol. 23, 627–636 (2009).Article 

Google Scholar 
Kanokratana, P. et al. Insights into the phylogeny and metabolic potential of a primary tropical peat swamp forest microbial community by metagenomic analysis. Microb. Ecol. 61, 518–528 (2011).Article 

Google Scholar 
Margesin, R., Jud, M., Tscherko, D. & Schinner, F. Microbial communities and activities in alpine and subalpine soils. FEMS Microbiol. Ecol. 67, 208–218 (2009).Article 
CAS 

Google Scholar 
Xu, Z. W. et al. Soil enzyme activity and stoichiometry in forest ecosystems along the North-South Transect in eastern China (NSTEC). Soil Biol. Biochem. 104, 152–163 (2017).Article 
CAS 

Google Scholar 
Zhou, X. et al. Warming and increased precipitation have differential effects on soil extracellular enzyme activities in a temperate grassland. Sci. Total Environ. 444, 552–558 (2013).Article 
ADS 
CAS 

Google Scholar 
Mao, T. & Minoru, K. Using the KEGG database resource. Curr. Protoc. Bioinform. 38, 1121–11243. https://doi.org/10.1002/0471250953.bi0112s38 (2012).Article 

Google Scholar 
Grayston, S. J., Griffith, G. S., Mawdsley, J. L., Campbell, C. D. & Bardgett, R. D. Accounting for variability in soil microbial communities of temperate upland grassland ecosystems. Soil Biol. Biochem. 33, 533–551 (2001).Article 
CAS 

Google Scholar 
Chen, W. B. & Chen, B. M. Considering the preferences for nitrogen forms by invasive plants: a case study from a hydroponic culture experiment. Weed Res. 59, 49–57 (2019).CAS 

Google Scholar 
Christian, J. M. & Wilson, S. D. Long-term ecosystem impacts of an introduced grass in the northern Great Plains. Ecology 80, 2397–2407 (1999).Article 

Google Scholar 
Strickland, M. S., Devore, J. L., Maerz, J. C. & Bradford, M. A. Grass invasion of a hardwood forest is associated with declines in belowground carbon pools. Glob. Chang. Biol. 16, 1338–1350 (2010).Article 
ADS 

Google Scholar 
Bradley, B. A., Houghtonw, R. A., Mustard, J. F. & Hamburg, S. P. Invasive grass reduces aboveground carbon stocks in shrublands of the Western US. Glob. Chang. Biol. 12, 1815–1822 (2006).Article 
ADS 

Google Scholar 
Ogle, S. M., Ojima, D. & Reiners, W. A. Modeling the impact of exotic annual brome grasses on soil organic carbon storage in a northern mixed-grass prairie. Biol. Invasions 6, 365–377 (2004).Article 

Google Scholar 
Ni, G. Y. et al. Mikania micrantha invasion enhances the carbon (C) transfer from plant to soil and mediates the soil C utilization through altering microbial community. Sci. Total Environ. 711, 135020. https://doi.org/10.1016/j.scitotenv.2019.135020 (2020).Article 
ADS 
CAS 

Google Scholar 
Callaway, R. M., Thelen, G. C., Rodriguez, A. & Holben, W. E. Soil biota and exotic plant invasion. Nature 427, 731–733 (2004).Article 
ADS 
CAS 

Google Scholar 
Klironomos, J. N. Feedback with soil biota contributes to plant rarity and invasiveness in communities. Nature 417, 67–70 (2002).Article 
ADS 
CAS 

Google Scholar 
Kourtev, P. S., Ehrenfeld, J. G. & Haggblom, M. Experimental analysis of the effect of exotic and native plant species on the structure and function of soil microbial communities. Soil Biol. Biochem. 35, 895–905 (2003).Article 
CAS 

Google Scholar 
Jansson, J. K. & Hofmockel, K. S. Soil microbiomes and climate change. Nat. Rev. Microbiol. 18, 35–46 (2020).Article 
CAS 

Google Scholar 
Ehrenfeld, J. G., Kourtev, P. & Huang, W. Z. Changes in soil functions following invasions of exotic understory plants in deciduous forests. Ecol. Appl. 11, 1287–1300 (2001).Article 

Google Scholar 
Allison, S. D. & Vitousek, P. M. Rapid nutrient cycling in leaf litter from invasive plants in Hawai’i. Oecologia 141, 612–619 (2004).Article 
ADS 

Google Scholar 
Harner, M. J. et al. Decomposition of leaf litter from a native tree and an actinorhizal invasive across riparian habitats. Ecol. Appl. 19, 1135–1146 (2009).Article 

Google Scholar 
Wolkovich, E. M. Nonnative grass litter enhances grazing arthropod assemblages by increasing native shrub growth. Ecology 91, 756–766 (2010).Article 

Google Scholar 
Yan, J. et al. Conversion of organic carbon from decayed native and invasive plant litter in Jiuduansha wetland and its implications for SOC formation and sequestration. J. Soils Sediments 20, 675–689 (2020).Article 
CAS 

Google Scholar 
Aerts, R. & de Caluwe, H. Nitrogen deposition effects on carbon dioxide and methane emissions from temperate peatland soils. Oikos 84, 44–54 (1999).Article 

Google Scholar 
Shen, C. C. et al. Soil pH drives the spatial distribution of bacterial communities along elevation on Changbai Mountain. Soil Biol. Biochem. 57, 204–211 (2013).Article 
CAS 

Google Scholar 
Kuypers, M. M. M., Marchant, H. K. & Kartal, B. The microbial nitrogen-cycling network. Nat. Rev. Microbiol. 16, 263–276 (2018).Article 
CAS 

Google Scholar 
Mothé, G. P. B., Quintanilha-Peixoto, G., Souza, G. R. D., Ramos, A. C. & Intorne, A. C. Overview of the role of nitrogen in copper pollution and bioremediation mediated by plant–microbe interactions. In Soil Nitrogen Ecology (eds Cruz, C. et al.) 249–264. https://doi.org/10.1007/978-3-030-71206-8_12 (Springer, 2021).Chapter 

Google Scholar 
Chen, B. M., Peng, S. L. & Ni, G. Y. Effects of the invasive plant Mikania micrantha H.B.K. on soil nitrogen availability through allelopathy in South China. Biol. Invasions 11, 1291–1299 (2009).Article 

Google Scholar 
Fan, Y. X. et al. Decreased soil organic P fraction associated with ectomycorrhizal fungal activity to meet increased P demand under N application in a subtropical forest ecosystem. Biol. Fertil. Soils 54, 149–161 (2018).Article 
CAS 

Google Scholar 
Walker, T. W. & Syers, J. K. The fate of phosphorus during pedogenesis. Geoderma 15, 1–19 (1976).Article 
ADS 
CAS 

Google Scholar 
Khan, M. S., Zaidi, A., Ahemad, M. & Oves, M. Plant growth promotion by phosphate solubilizing fungi: Current perspective. Arch. Agron. Soil Sci. 56, 73–98 (2010).Article 
CAS 

Google Scholar 
Kouas, S., Labidi, N., Debez, A. & Abdelly, C. Effect of P on nodule formation and N fixation in bean. Agron. Sustain. Dev. 25, 389–393 (2005).Article 
CAS 

Google Scholar 
Bolan, N. S. et al. Dissolved organic matter: biogeochemistry, dynamics, and environmental significance in soils. Adv. Agron. 110, 1–75 (2011).Article 
CAS 

Google Scholar 
Dail, D. B., Davidson, E. A. & Chorover, J. Rapid abiotic transformation of nitrate in an acid forest soil. Biogeochemistry 54, 131–146 (2001).Article 
CAS 

Google Scholar 
Fitzhugh, R. D., Lovett, G. M. & Venterea, R. T. Biotic and abiotic immobilization of ammonium, nitrite, and nitrate in soils developed under different tree species in the Catskill Mountains, New York, USA. Glob. Chang. Biol. 9, 1591–1601 (2003).Article 
ADS 

Google Scholar  More

Špinar, Z. V. Revize nĕkterých moravských diskosauriscidů (Labyrinthodontia). Rozpravy Ústředního Ústavu Geologického. 15, 1–115 (1952).
Google Scholar 
Klembara, J. & Meszároš, Š. New finds of Discosauriscus austriacus (Makowsky 1876) from the Lower Permian of the Boskovice Furrow (Czecho-Slovakia). Geol. Carpath. 43, 305–312 (1992).
Google Scholar 
Klembara, J. The external gills and ornamentation of the skull roof bones of the Lower Permian tetrapod Discosauriscus austriacus (Makowsky 1876) with remarks to its ontogeny. Paläontol. Z. 69, 265–281 (1995).
Google Scholar 
Klembara, J. The cranial anatomy of Discosauriscus Kuhn, a seymouriamorph tetrapod from the Lower Permian of the Boskovice Furrow (Czech Republic). Philos. Trans. R. Soc. B 352, 257–302 (1997).ADS 

Google Scholar 
Calábková, G., Březina, J. & Madzia, D. Evidence of large terrestrial seymouriamorphs in the lowermost Permian of the Czech Republic. Pap. Palaeontol. https://doi.org/10.1002/spp2.1428 (2022).Article 

Google Scholar 
Makowsky, A. Über einen neuen Labyrinthodonten ‘Archegosaurus austriacus nov. spec’. Sitzungsberichte der keiserischen Akademie der Wissenschaft. 73, 155–166 (1876).
Google Scholar 
Fritsch, H. A. Neue Übersicht der in der Gaskohle und den Kalksteinen der Permformation in Böhmen vorgefundenen Tierreste. Sitzungsberichte der königlichen böhmische Gesellschaft der Wissenschaften in Prag 1879, 184–195 (1880).
Google Scholar 
Klembara, J. A new discosauriscid seymouriamorph tetrapod from the Lower Permian of Moravia, Czech Republic. Acta Palaeontol. Pol. 50, 25–48 (2005).
Google Scholar 
Klembara, J. New cranial and dental features of Discosauriscus austriacus (Seymouriamorpha, Discosauriscidae) and the ontogenetic conditions of Discosauriscus. Spec. Pap. Palaeontol. 81, 61–69 (2009).
Google Scholar 
Klembara, J. A new find of discosauriscid seymouriamorph from the Lower Permian of Boskovice Basin in Moravia (the Czech Republic). Fossil Imprint 72, 117–121 (2016).
Google Scholar 
Augusta, J. Spodnopermaská zvířena a květena z nového naleziště za pilou dolu “Antonín” u Zbýšova na Moravě. Věstník Státního geologického Ústavu. 22(4), 187–224 (1947).
Google Scholar 
Milner, A. W., Klembara, J. & Dostál, O. A zatrachydid temnospondyl from the Lower Permian of the Boskovice Furrow in Moravia (Czech Republic). J. Vertebr. Paleontol. 27, 711–715 (2007).
Google Scholar 
Klembara, J. & Steyer, S. A new species of Sclerocephalus (Temnospondyli: Stereospondylomorpha) from the Early Permian of the Boskovice Basin (Czech Republic). J. Paleontol. 86, 302–310 (2012).
Google Scholar 
Zajíc, J. & Štamberg, S. Selected important fossiliferous horizons of the Boskovice Basin in the light of the new zoopaleontological data. Acta Musei Reginaehradecensis A 30, 5–15 (2004).
Google Scholar 
Štamberg, S. & Zajíc, J. Carboniferous and Permian faunas and Their Occurrence in the Limnic Basins of the Czech Republic Museum of Eastern Bohemia (Hradec Králové, 2008).Calábková, G. & Nosek, V. Stopy velkého čtvernožce z permu boskovické brázdy. Sborník Muzea Brněnska. 59–68 (2022).Calábková, G., Březina, J., Nosek, V. & Madzia, D. High diversity of tetrapods in the lower Permian of the Boskovice Basin, Czech Republic. In 21st Slovak-Czech-Polish Paleontological Conference, Bratislava, Slovakia 113–114 (2022).Fritsch, H. A. Über die Fauna der Gaskohle der Pilsner und Rakonitzer Beckens. In Věstník Královské české společnosti nauk. Třída mathematicko-přírodovědecká. 70–79. (Praha, 1875).Fritsch, A. Fauna der Gaskohle und der Kalksteine der Permformation Böhmens. II/2. Prague: F. Řivnáč. 33–64 (1885).Fritsch, H. A. Ueber neue Wirbelthiere aus der Permformation Böhmens nebst einer Uebersicht der aus derselben bekannt gewordenen Arten. Sitzungsberichte der königl. böhmischen Gesellschaft der Wissenschaften, mathematischnaturwissenschaftliche Classe 52, 17 (1895).Švestka, F. Příspěvek k dnešní bilanci nálezů rostlinných fossilií z uhelné pánve rosicko-oslavanské a památné Rybičkové skály pod spodnopermským Konvizem u Padochova. Příroda. 35(5), 116–119 (1943).
Google Scholar 
Švestka, F. Druhý příspěvek k fytopaleontologickému Průzkumu spodního perrnu a permokarbonu Oslavan, Padochova a Zbýšova. Příroda. 36, 159–165 (1944).
Google Scholar 
Fritsch, A. Fauna der Gaskohle und der Kalksteine der Permformation Böhmens II/4. Prague: F. Řivnáč. 93–114 (1889).Reisz, R. R. Pennsylvanian Pelycosaurs from Linton, Ohio and Nýřany, Czechoslovakia. J. Paleontol. 49, 522–527 (1975).
Google Scholar 
Fröbisch, J., Schoch, R. R., Müller, J., Schindler, T. & Schweiss, D. A new basal sphenacodontid synapsid from the Late Carboniferous of the Saar-Nahe Basin, Germany. Acta Palaeontol. Pol. 56, 113–120 (2011).
Google Scholar 
Spindler, F., Voigt, S. & Fischer, J. Edaphosauridae (Synapsida, Eupelycosauria) from Europe and their relationship to North American representatives. PalZ. 94, 125–153 (2019).
Google Scholar 
Jaroš, J. Litostratigrafie permokarbonu Boskovické brázdy. Věstník Ústředního ústavu geologického 38, 115–118 (1963).
Google Scholar 
Jaroš J. & Malý, L. Boskovická brázda. 208–223. In Geologie a ložiska svrchnopaleozoických limnických pánví České republiky (ed. PEšEK, J.) (Český geologický ústav, 2001).Pešek, J. Late Paleozoic limnic basins and coal deposits of the Czech Republic. Folia Musei Rerum Naturalium Bohemiae occidentalis: Geologica et Paleobiologica, 1 (2004).Jaroš, J. Geologický vývoj a stavba boskovické brázdy. PhD thesis, Charles University, Prague, Czech Republic (1962).Houzar, S., Hršelová, P., Gilíková, H., Buriánek, D. & Nehyba, S. Přehled historie vyzkumů permokarbonskych sedimentů jižni časti boskovicke brazdy (Čast 2. Geologie a petrografie). Acta Musei Moraviae Scientiae Geologicae. 102, 3–65 (2017).
Google Scholar 
Opluštil, S., Jirásek, J., Schmitz, M. & Matýsek, D. Biotic changes around the radioisotopically constrained Carboniferous-Permian boundary in the Boskovice Basin (Czech Republic). Bull. Geosci. 92, 95–122 (2017).
Google Scholar 
Dopita, M., Havlena, V. & Pešek, J. Ložiska fosilních paliv. Vyd. 1. Nakladatelství technické literatury, Praha (1985).Pešek, J., Holub, V., Jaroš, J., Malý, L., Martínek, K., Prouza, V., Spudil, J. & Tasler, R. Geologie a ložiska svrchnopaleozoických limnických pánví České republiky. Český geologický ústav, Praha (2001).Šimůnek, Z. & Martínek, K. A study of Late Carboniferous and Early Permian plant assemblages from the Boskovice Basin, Czech Republic. Rev. Palaeobot. Palynol. 155, 275–307 (2009).
Google Scholar 
Kukalová, J. On the Family Blattinopsidae Bolton, 1925 (Insecta, Protorthoptera). Rozpravy Československé akademie věd, Rada matematických a přírodních věd 69, 1–27 (1959).
Google Scholar 
Kukalová, J. Permian protelytroptera, coleoptera and protorthoptera (insecta) of Moravia. Sborník geologických věd, Paleontonologie. 6, 61–98 (1965).
Google Scholar 
Schneider, J. W. Zur Entomofauna des Jungpalaozoikums der Boskovicer Furche (ČSSR), Teil 1: Mylacridae (Insecta, Blattoidea). Freiberger Forschungshefte C 357, 43–55 (1980).
Google Scholar 
Schneider, J. W. Zur Entomofauna des Jungpalaozoikums der Boskovicer Furche (ČSSR), Teil 2: Phyloblattidae (Insecta, Blattoidea). Freiberger Forschungshefte C 395, 19–37 (1984).
Google Scholar 
Zajíc, J. Sladkovodní mikrovertebrátní společenstva svrchního Stefanu a spodního autunu Čech. Závěrečný zpráva za grant GAČR, MS, Česká geologický Ústav, 1–61. Praha (1996).Zajíc, J., Martínek, K., Šimůnek Z. & Drábková, J. Permokarbon Boskovické brázdy ve výkopu pro rozšíření tranzitního plynovodu. Zprávy o geologických výzkumech v roce 1995, 179–182. Praha. (1996).Ivanov, M. Přehled historie paleontologickeho badani v permokarbonu boskovicke brazdy na Moravě. Acta Musei Moraviae Scientiae Geologicae. 88, 3–112 (2003).
Google Scholar 
Zajíc, J. Vertebrate biozonation of the Permo-Carboniferous lakes of the Czech Republic: New data. Acta Musei Reginaehradecensis A 30, 15–16 (2004).
Google Scholar 
Zajíc, J. Permian acanthodians of the Czech Republic Czech Geological Survey Special Paper. 18, 1–42 (2005).Štamberg, S. Fossiliferous Early Permian horizons of the Krkonoše Piedmont Basin and the Boskovice Graben (Bohemian Massif) in view of the occurrence of actinopterygians. Paläontologie, Stratigraphie, Fazies (22). Freiberger Forschungshefte, C, 548, 45–60 (2014).Kukalová, J. Permian insects of Moravia. Part I: Miomoptera. Sborník geologických věd, Paleontonologie 1, 7–52 (1963).
Google Scholar 
Kukalová, J. Permian insects of Moravia. Part II: Liomopteridae. Sborník geologických věd, Paleontonologie. 3, 3–118 (1964).
Google Scholar 
Štamberg, S. Permo-Carboniferous actinopterygians of the Boskovice Graben. Part 1. Neslovicella, Bourbonnella, Letovichthys. Museum of Eastern Bohemia in Hradec Králové (2007).Klembara, J. The skeletal anatomy and relationships of a new discosauriscid seymouriamorph from the Lower Permian of Moravia (Czech Republic). Ann. Carnegie Museum 77, 451–484 (2009).
Google Scholar 
Klembara, J. & Mikudíková, M. New cranial material of Discosauriscus pulcherrimus (Seymouriamorpha, Discosauriscidae) from the Lower Permian of the Boskovice Basin (Czech Republic). Earth Environ. Sci. Trans. R. Soc. Edinb. 109, 225–236 (2018).
Google Scholar 
Leonardi, G. Glossary and Manual of Tetrapod Footprint Palaeoichnology 1–117 (Departamento Nacional de Producao Mineral, 1987).
Google Scholar 
Porter, S., Roussel, M. & Soressi, M. A simple photogrammetry rig for the reliable creation of 3D artifact models in the field: Lithic examples from the early upper paleolithic sequence of Les Cottés (France). Adv. Archaeol. Pract. 4, 1–86 (2016).
Google Scholar 
Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J. & Reynolds, J. M. ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology 179, 300–314 (2012).ADS 

Google Scholar 
Yilmaz, H., Yakar, M., Gulec, S. & Dulgerler, O. Importance of digital close-range photogrammetry in documentation of cultural heritage. J. Cult. Herit. 8(4), 428–433 (2007).
Google Scholar 
Haeckel, E. Generelle Morphologie der Organismen (Reimer, 1866).
Google Scholar 
Osborn, H. F. The reptilian subclasses Diapsida and Synapsida and the early history of the Diaptosauria. Mem. Am. Mus. Nat. Hist. 1, 265–270 (1903).
Google Scholar 
Romer, A. S. & Price, L. I. Review of the Pelycosauria. Geol. Soc. Am. Spec. Pap. 28, 1–538 (1940).
Google Scholar 
Geinitz, H. B. Beiträge zur Kenntnis der organischen Überreste in der Dyas (oder permischen Formation zum Theil) und über den Namen Dyas: Neues Jahrbuch für Mineralogie, Geologie und Paläontologie. 385–398 (1863).Voigt, S. & Lucas, S. G. Outline of a Permian tetrapod footprint ichnostratigraphy. 387–404. In The Permian Timescale: An Introduction (eds. Lucas, S. G. and Shen, S. Z.) 450 (Geological Society, London, Special Publications, 2016). https://doi.org/10.1144/SP450.10 (2016).Voigt, S. & Ganzelewski, M. Toward the origin of amniotes: Diadectomorph and synapsid footprints from the early Late Carboniferous of Germany. Acta Palaeontol. Pol. 55, 57–72 (2010).
Google Scholar 
Marchetti, L. et al. Defining the morphological quality of fossil footprints. Problems and principles of preservation in tetrapod ichnology with examples from the Palaeozoic to the present. Earth Sci. Rev. 193, 109–145 (2019).ADS 

Google Scholar 
Voigt, S. Die Tetrapodenichnofauna des kontinentalen Oberkarbon und Perm im Thüringer Wald—Ichnotaxonomie, Paläoökologie und Biostratigraphie. Cuvillier, Göttingen (2005).Voigt, S. & Lucas, S. G. On a diverse tetrapod ichnofauna from early Permian red beds in San Miguel County, north-central New Mexico: New Mexico Geological Society. Guidebook. 66, 241–252 (2015).
Google Scholar 
Tilton, J. L. Permian vertebrate tracks in West Virginia. Bull. Geol. Soc. Am. 42, 547–556 (1931).
Google Scholar 
Van Allen, H. E. K., Calder, J. H. & Hunt, A. P. The trackway record of a tetrapod community in a walchian conifer forest from the Permo-Carboniferous of Nova Scotia. N. M. Mus. Nat. Hist. Sci. Bull. 30, 322–332 (2005).
Google Scholar 
Gand, G. Les traces de Vertébrés Tétrapodes du Permien français: Paléontologie, stratigraphie, paléoenvironnements (Bourgogne University, 1987).
Google Scholar 
Sacchi, E., Cifelli, R., Citton, P., Nicosia, U. & Romano, M. Dimetropus osageorum n. isp. from the Early Permian of Oklahoma (USA): A trace and its trackmaker. Ichnos 21, 175–192 (2014).
Google Scholar 
Buchwitz, M. & Voigt, S. On the morphological variability of Ichniotherium tracks and evolution of locomotion in the sistergroup of amniotes. PeerJ 6, e4346. https://doi.org/10.7717/peerj.4346 (2018).Article 
CAS 

Google Scholar 
Mujal, E., Marchetti, L., Schoch, R. R. & Fortuny, J. Upper Paleozoic to lower mesozoic tetrapod ichnology revisited: Photogrammetry and relative depth pattern inferences on functional prevalence of autopodia. Front. Earth Sci. 8(248), 1–23 (2020).
Google Scholar 
Lucas, S. G., Kollar, A. D., Berman, D. S. & Henrici, A. C. Pelycosaurian-grade (Amniota: Synapsida) footprints from the Lower Permian Dunkard Group of Pennsylvania and West Virginia. Ann. Carnegie Mus. 83(4), 287–294 (2016).
Google Scholar 
Haubold, H., Hunt, A. P., Lucas, S. G. & Lockley, M. G. Wolfcampian (Early Permian) vertebrate tracks from Arizona and New Mexico. N. M. Mus. Nat. Hist. Sci. Bull. 6, 135–165 (1995).
Google Scholar 
Meade, L. E., Jones, A. S. & Butler, R. J. A revision of tetrapod footprints from the late Carboniferous of the West Midlands, UK. PeerJ 4, e2718. https://doi.org/10.7717/peerj.2718 (2016).Article 

Google Scholar 
Haubold, H. Die Tetrapodenfährten des Buntsandsteins. Paläontologische Abhandlungen A. IV, 395–548 (1971).Gand, G. & Haubold, H. Traces de Vertébrés du Permien du bassin de Saint-Affrique (Description, datation, comparaison avec celles du bassin de Lodève). Géologie Méditerranéenne 11, 321–348 (1984).
Google Scholar 
Voigt, S., Niedźwiedski, G., Raczyński, P., Mastaler, K. & Ptaszyński, T. Early Permian tetrapod ichnofauna from the Intra-Sudetic Basin, SW Poland. Palaeogeogr. Palaeoclimatol. Palaeoecol. 313–314, 173–180 (2012).
Google Scholar 
Niedźwiedzki, G. & Bojanowski, M. A supposed eupelycosaur body impression from the Early Permian of the Intra-Sudetic Basin, Poland. Ichnos Int. J. Plant Anim. Traces. 19(3), 150–155 (2012).
Google Scholar 
Marchetti, L. New occurrences of tetrapod ichnotaxa from the Permian Orobic Basin (Northern Italy) and critical discussion of the age of the ichnoassociation. Pap. Palaeontol. 2, 363–386. https://doi.org/10.1002/spp2.1045 (2016).Article 

Google Scholar 
Mujal, E. et al. Palaeoenvironmental reconstruction and early Permian ichnoassemblage from the NE Iberian Peninsula (Pyrenean Basin). Geol. Mag. 153, 578–600 (2016).ADS 

Google Scholar 
Matamales-Andreu, R., Mujal, E., Galobart, A. & Fortuny, J. Insights on the evolution of synapsid locomotion based on tetrapod tracks from the lower Permian of Mallorca (Balearic Islands, western Mediterranean). Palaeogeogr. Palaeoclimatol. Palaeoecol. 579, 110589 (2021).
Google Scholar 
Matamales-Andreu, R. et al. Early–middle Permian ecosystems of equatorial Pangaea: Integrated multi-stratigraphic and palaeontological review of the Permian of Mallorca (Balearic Islands, western Mediterranean. Earth Sci. Rev. 228, 103948 (2022).
Google Scholar 
Voigt, S., Lagnaoui, A., Hminna, A., Saber, H. & Schneider, J. W. Revisional notes on the Permian tetrapod ichnofauna from the Tiddas Basin, central Morocco. Palaeogeogr. Palaeoclimatol. Palaeoecol. 302, 474–483 (2011).
Google Scholar 
Voigt, S., Saber, H., Schneider, J. W., Hmich, D. & Hminna, A. Late Carboniferous-early Permian tetrapod ichnofauna from the Khenifra Basin, central Morocco. Geobios 44, 309–407 (2011).
Google Scholar 
Lagnaoui, A. et al. Late Carboniferous tetrapod footprints from the Souss Basin, Western High Atlas Mountains, Morocco. Ichnos https://doi.org/10.1080/10420940.2017.1320284 (2017).Article 

Google Scholar 
Fichter, J. Aktuopaläontologische Studien zur Lokomotion rezenter Urodelen und Lacertilier sowie paläontologische Untersuchungen an Tetrapodenfährten des Rotliegenden (Unter-Perm) SW-Deutschlands. PhD thesis. Johannes-Gutenberg University, Mainz (1979).Haubold, H. The Early Permian tetrapod ichnofauna of Tambach, the changing concepts in ichnotaxonomy. Hallesches Jahrb. Geowiss. B 20, 1–16 (1998).Haubold, H. Tetrapodenfährten aus dem Perm—Kenntnisstand und Progress 2000. Hallesches Jahrb. Geowiss. B 22, 1–16 (2000).Romano, M., Citton, P. & Nicosia, U. Corroborating trackmaker identification through footprint functional analysis: The case study of Ichniotherium and Dimetropus. Lethaia 49(1), 102–116. https://doi.org/10.1111/let.12136 (2016).Article 

Google Scholar 
Ford, D. P. & Benson, J. B. R. The phylogeny of early amniotes and the affinities of Parareptilia and Varanopidae. Nat. Ecol. Evol. 4, 57–65. https://doi.org/10.1038/s41559-019-1047-3 (2020).Article 

Google Scholar 
Modesto, S. P. Rooting about reptile relationships. Nat. Ecol. Evol. 4, 10–11 (2020).
Google Scholar 
Spindler, F. et al. First arboreal ’pelycosaurs’ (Synapsida: Varanopidae) from the early Permian Chemnitz Fossil Lagerstätte, SE Germany, with a review of varanopid phylogeny. PalZ. 92, 315–364 (2018).
Google Scholar 
Haubold, H. & Sarjeant, W. A. S. Tetrapodenfährten aus den Keele und Enville Groups (Permokarbon: Stefan und Autun) von Shropshire und South Staffordshire. Großbritannien. Z. geol. Wiss 1, 895–933 (1973).
Google Scholar 
Kümmell, S., Abdala, F., Sassoon, J. & Abdala, V. Evolution and identity of synapsid carpal bones. Acta Palaeontol. Pol. 65(4), 649–678 (2020).
Google Scholar 
Berman, D. S. et al. New primitive caseid (Synapsida, Caseasauria) from the Early Permian of Germany. Ann. Carnegie Museum 86(1), 47–74 (2020).
Google Scholar 
Spindler, F., Falconnet, J. & Fröbisch, J. Callibrachion and Datheosaurus, Two Historical and Previously Mistaken Basal Caseasaurian Synapsids From Europe. Acta Palaeontol. Pol. 61(3), 597–616 (2016).
Google Scholar 
Reisz, R. R., Madin, H. C., Fröbisch, J. & Falconnet, J. A new large caseid (Synapsida, Caseasauria) from the Permian of Rodez (France), including a reappraisal of “Casea” rutena Sigogneau-Russell & Russell, 1974. Geodiversitas 33(2), 227–246. https://doi.org/10.5252/g2011n2a2 (2011).Article 

Google Scholar 
Voigt, S. & Lucas, S. G. Permian tetrapod ichnodiversity of the Prehistoric Trackways National Monument (south-central New Mexico, USA). N. M. Mus. Nat. Hist. Sci. Bull. 65, 153–167 (2015).
Google Scholar 
Brand, L. R. Variations in salamander trackways resulting from substrate differences. J. Paleontol. 70, 1004–1010 (1996).
Google Scholar 
Krapovickas, V., Marsicano, C. A., Mancuso, A. C., de la Fuente, M. S. & Ottone, E. G. Tetrapod and invertebrate trace fossils from aeolian deposits of the lower Permian of central-western Argentina. Hist. Biol. 27, 827–842 (2015).
Google Scholar 
Benson, R. B. J. Interrelationships of basal synapsids: Cranial and postcranial morphological partitions suggest different topologies. J. Syst. Paleontol. 10, 601–624 (2012).
Google Scholar 
Spindler, F. The basal Sphenacodontia—Systematic revision and evolutionary implications. PhD Thesis, Technische Universität Bergakademie Freiberg, Germany (2015).Spindler, F. Re-evaluation of an early sphenacodontian synapsid from the Lower Permian of England. Earth Environ. Sci. Trans. R. Soc. Edinb. 111, 27–37 (2020).
Google Scholar 
Reisz, R. R. & Fröbisch, J. The oldest caseid synapsid from the Late Pennsylvanian of Kansas, and the evolution of herbivory in terrestrial vertebrates. PLoS ONE 9(4), e94518. https://doi.org/10.1371/journal.pone.00945 (2014) (1–9).Article 
ADS 

Google Scholar 
Werneburg, R., Spindler, F., Falconnet, J., Steyer, J.-S., Vianey-Liaud, M & Schneider, J. W. New caseid synapsid from the Permian (Guadalupian) of the Lodève basin (Occitanie, France). Palaeo Vertebrata 1–36 (2022).Ronchi, A., Sacchi, E., Romano, M. & Nicosia, U. A huge caseid pelycosaur from north-western Sardinia and its bearing on European Permian stratigraphy and palaeobiogeography. Acta Palaeontol. Pol. 56, 723–738 (2011).
Google Scholar 
Romano, M. & Nicosia, U. Alierasaurus ronchii, gen. et. Sp. nov., a caseid from the Permian of Sardinia, Italy. J. Vertebr. Paleontol. 34, 900–913 (2014).
Google Scholar 
Maddin, H. C., Sidor, C. A. & Reisz, R. R. Cranial anatomy of Ennatosaurus tecton (Synapsida: Caseidae) from the Middle Permian of Russia and the evolutionary relationships of Caseidae. J. Vertebr. Paleontol. 28, 160–180 (2008).
Google Scholar 
Langiaux, J., Parriat, H. & Sotty, D. Faune fossile du bassin de Blanzy-Montceau. La Physiophilie. 80, 55–67 (1974).
Google Scholar 
Gaudry, A. Sur un reptile très perfectionné trouvé dans le terrain permien. Comptes rendus hebdomadaires des Séances de l’Académie des Sciences. 91(16), 669–671 (1880).
Google Scholar 
Reisz, R. R. Handbuch der Paläoherpetologie. Teil 17A, Pelycosauria. (Gustav Fischer Verlag, 1986).Ziegler, J. et al. U-Pb ages of magmatic and detrital zircon of the Döhlen Basin: Geological history of a Permian strike-slip basin in the Elbe Zone (Germany). Int. J. Earth Sci. 108, 887–910 (2019).
Google Scholar  More

Cavicchioli R, Ripple WJ, Timmis KN, Azam F, Bakken LR, Baylis M, et al. Scientists’ warning to humanity: microorganisms and climate change. Nat Rev Microbiol. 2019;17:569–86.Article 
CAS 

Google Scholar 
Myers SS, Smith MR, Guth S, Golden CD, Vaitla B, Mueller ND, et al. Climate Change and Global Food Systems: Potential Impacts on Food Security and Undernutrition. Annu Rev Pub Health. 2017;38:259–77.Article 

Google Scholar 
Brown AR, Lilley M, Shutler J, Lowe C, Artioli Y, Torres R, et al. Assessing risks and mitigating impacts of harmful algal blooms on mariculture and marine fisheries. Rev Aquac. 2020;12:1663–88.
Google Scholar 
Bates SS, Hubbard KA, Lundholm N, Montresor M, Leaw CP. Pseudo-nitzschia, Nitzschia, and domoic acid: New research since 2011. Harmful Algae. 2018;79:3–43.Article 

Google Scholar 
Silver MW, Bargu S, Coale SL. Toxic diatoms and domoic acid in natural and iron enriched waters of the oceanic pacific. Proc Natl Acad Sci. 2010;107:20762–67.Article 
CAS 

Google Scholar 
Trick CG, Bill BD, Cochlan WP, Wells ML, Trainer VL, Pickell LD. Iron enrichment stimulates toxic diatom production in high-nitrate, low-chlorophyll areas. Proc Natl Acad Sci. 2010;107:5887–92.Article 
CAS 

Google Scholar 
Hallegraeff G, Enevoldsen H, Zingone A. Global harmful algal bloom status reporting. Harmful Algae. 2021;102:101992.Article 

Google Scholar 
McKibben SM, Peterson W, Wood AM, Trainer VL, Hunter M, White AE. Climatic regulation of the neurotoxin domoic acid. Proc Natl Acad Sci. 2017;114:239–44.Article 
CAS 

Google Scholar 
Clark S, Hubbard KA, Ralston DK, McGillicuddy DJ, Stocke C, Alexander MA, et al. Projected effects of climate change on Pseudo-nitzschia bloom dynamics in the Gulf of Maine. J Mar Syst. 2022;230:103737.Article 

Google Scholar 
Trainer VL, Kudela RM, Hunter MV, Adams NG, McCabe RM. Climate extreme seeds a new domoic ccid hotspot on the US West Coast. Front Clim. 2020;2:1–11.Article 

Google Scholar 
Hinder SL, Hays GC, Edwards M, Roberts EC, Walne AW, Gravenor MB. Changes in marine dinoflagellate and diatom abundance under climate change. Nat Clim Change. 2012;2:271–75.Article 

Google Scholar 
Sun J, Hutchins DA, Feng Y, Seubert EL, Caron DA, Fu FX. Effects of changing pCO2 and phosphate availability on domoic acid production and physiology of the marine harmful bloom diatom Pseudo-nitzschia multiseries. Limnol Oceanogr. 2011;56:829–40.Article 
CAS 

Google Scholar 
Zhu Z, Qu P, Fu F, Tennenbaum N, Tatters AO, Hutchins DA. Understanding the blob bloom: warming increases toxicity and abundance of the harmful bloom diatom Pseudo-nitzschia in California coastal waters. Harmful Algae. 2017;67:36–43.Article 
CAS 

Google Scholar 
Radan RL, Cochlan WP. Differential toxin response of Pseudo-nitzschia multiseries as a function of nitrogen speciation in batch and continuous cultures, and during a natural assemblage experiment. Harmful Algae. 2018;73:12–29.Article 
CAS 

Google Scholar 
Wingert CJ, Cochlan WP. Effects of ocean acidification on the growth, photosynthetic performance, and domoic acid production of the diatom Pseudo-nitzschia australis from the California Current System. Harmful Algae. 2021;107:102030.Article 
CAS 

Google Scholar 
Auro ME, Cochlan WP. Nitrogen utilization and toxin production by two diatoms of the Pseudo-nitzschia pseudodelicatissima complex: P. cuspidate and P. fryxelliana. J Phycol. 2013;49:156–69.Article 
CAS 

Google Scholar 
Lundholm N, Clarke A, Ellegaard M. A 100-year record of changing Pseudo-nitzschia species in a sill-fjord in Denmark related to nitrogen loading and temperature. Harmful Algae. 2010;9:449–57.Article 

Google Scholar 
Ryan JP, Kudela RM, Birch JM, Blum M, Bower HA, Chavez FP, et al. Causality of an extreme harmful algal bloom in Monterey Bay, California, during the 2014–2016 northeast Pacific warm anomaly. Geophys Res Lett. 2017;44:5571–79.Article 

Google Scholar 
McCabe RM, Hickey BM, Kudela RM, Lefebvre KA, Adams NG, Bill BD, et al. An unprecedented coastwide toxic algal bloom linked to anomalous ocean conditions. Geophys Res Lett. 2016;43:10,366–76.Article 

Google Scholar 
Tatters AO, Fu FX, Hutchins DA. High CO2 and silicate limitation synergistically increase the toxicity of Pseudo-nitzschia fraudulenta. PLoS One. 2012;7:e32116.Article 
CAS 

Google Scholar 
Lundholm N, Hansen PJ, Kotaki Y. Effect of pH on growth and domoic acid production by potentially toxic diatoms of the genera Pseudo-nitzschia and Nitzschia. Mar Ecol Prog Ser. 2004;273:1–15.Article 
CAS 

Google Scholar 
Trimborn S, Lundholm N, Thoms S, Richter KW, Krock B, Hansen P, et al. Inorganic carbon acquisition in potentially toxic and non-toxic diatoms: the effect of pH-induced changes in seawater carbonate chemistry. Physiol Plant. 2008;133:92–105.Article 
CAS 

Google Scholar 
Brunson JK, McKinnie SMK, Chekan JR, McCrow JP, Miles ZD, Bertrand EM, et al. Biosynthesis of the neurotoxin domoic acid in a bloom-forming diatom. Science. 2018;361:1356–58.Article 
CAS 

Google Scholar 
Boissonneault KR, Henningsen BM, Bates SS, Robertson DL, Milton S, Pelletier J, et al. Gene expression studies for the analysis of domoic acid production in the marine diatom Pseudo-nitzschia multiseries. BMC Mole Biol. 2013;14:1–19.
Google Scholar 
Pierrot DE, Lewis E, Wallace DWR MS Excel program developed for CO2 system calculations. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of. Energy, Oak Ridge, TN. 2006; Retrieved from https://doi.org/10.3334/CDIAC/otg.CO2SYS_XLS_CDIAC105a.Brzezinski MA, Nelson DM. The annual silica cycle in the Sargasso Sea near Bermuda. Deep-Sea Res Pt I Oceanogr Res Papers. 1995;42:1215–37.Article 
CAS 

Google Scholar 
Schlüter L, Lohbeck KT, Gutowska MA, Gröger JP, Riebesell U, Reusch TBH. Adaptation of a globally important coccolithophore to ocean warming and acidification. Nat Clim Change. 2014;4:1024–30.Article 

Google Scholar 
Schaum CE, Barton S, Bestion E, Buckling A, Garcia-Carreras B, Lopez P, et al. Adaptation of phytoplankton to a decade of experimental warming linked to increased photosynthesis. Nat Ecol Evol. 2017;1:0094.Article 

Google Scholar 
Wang Z, Maucher-Fuquay J, Fire SE, Mikulski CM, Haynes B, Doucette GJ, et al. Optimization of solid-phase extraction and liquid chromatography–tandem mass spectrometry for the determination of domoic acid in seawater, phytoplankton, and mammalian fluids and tissues. Anal Chim Acta. 2012;715:71–9.Article 
CAS 

Google Scholar 
Brandenburg KM, Velthuis M, Van de Waal DB. Meta-analysis reveals enhanced growth of marine harmful algae from temperate regions with warming and elevated CO2 levels. Glob Change Biol. 2019;25:2607–18.Article 

Google Scholar 
Wohlrab S, John U, Klemm K, Rberlein T, Grivogiannis AMF, Krock B, et al. Ocean acidification increases domoic acid contents during a spring to summer succession of coastal phytoplankton. Harmful Algae. 2020;92:101697.Article 
CAS 

Google Scholar 
Zhong J, Guo Y, Liang Z, Huang Q, Lu H, Pan J, et al. Adaptation of a marine diatom to ocean acidification and warming reveals constraints and trade-offs. Sci Total Environ. 2021;771:145167.Article 
CAS 

Google Scholar 
Trainer VL, Bates SS, Lundholm N, Thessen AE, Cochlan WP, Adams NG, et al. Pseudo-nitzschia physiological ecology, phylogeny, toxicity, monitoring and impacts on ecosystem health. Harmful Algae. 2012;14:271–300.Article 

Google Scholar 
Zhu Z, Qu P, Gale J, Fu F, Hutchins DA. Individual and interactive effects of warming and CO2 on Pseudo-nitzschia subcurvata and Phaeocystis antarctica, two dominant phytoplankton from the Ross Sea, Antarctica. Biogeosciences. 2017;14:5281–95.Article 
CAS 

Google Scholar 
Hutchins DA, Walworth NG, Webb EA, Saito MA, Moran D, McIlvin MR, et al. Irreversibly increased N2 fixation in Trichodesmium experimentally adapted to high CO2. Nat Commun. 2015;6:8155.Article 

Google Scholar 
Walworth NG, Lee MD, Fu FX, Hutchins DA, Webb EA. Molecular and physiological evidence of genetic assimilation to high CO2 in the marine nitrogen fixer Trichodesmium. P Natl Acad Sci. 2016;113:E7367–74.Article 
CAS 

Google Scholar 
Schaum CE, Buckling A, Smirnoff N, Studholme DJ, Yvon-Durocher G. Environmental fluctuations accelerate molecular evolution of thermal tolerance in a marine diatom. Nat Commun. 2018;9:1719.Article 

Google Scholar 
Hutchins DA, Capone DG. The ocean nitrogen cycle: New developments and global change. Nat Rev Microbiol. 2022;20:401–14.Article 
CAS 

Google Scholar 
Xu D, Tong S, Wang B, Zhang X, Wang W, Zhang X, et al. Ocean acidification stimulation of phytoplankton growth depends on the extent of departure from the optimal growth temperature. Mar Pollut Bull. 2022;177:113510.Article 
CAS 

Google Scholar 
Hennon GMM, Sefbom J, Schaum E, Dyhrman ST, Godhe A Studying the acclimation and adaptation of HAB species to changing environmental conditions. In: Wells ML, et al. (eds.). GlobalHAB. 2021. Guidelines for the Study of Climate Change Effects on HABs. Paris: UNESCO-IOC/SCOR, 2021. pp 64–78.Collins S, Bell G. Phenotypic consequences of 1,000 generations of selection at elevated CO2 in a green alga. Nature. 2004;431:566–9.Article 
CAS 

Google Scholar 
Kremp A, Godhe A, Egardt J, Dupont S, Suikkanen S, Casabianca S, et al. Intraspecific variability in the response of bloom-forming marine microalgae to changed climate conditions. Ecol Evol. 2012;2:1195–207.Article 

Google Scholar 
Tatters AO, Schnetzer A, Fu F, Lie AY, Caron DA, Hutchins DA. Short‐versus long‐term responses to changing CO2 in a coastal dinoflagellate bloom: Implications for interspecific competitive interactions and community structure. Evolution. 2013;67:1879–91.Article 

Google Scholar 
Schaum CE, Collins S. Plasticity predicts evolution in a marine alga. P Roy Soc B-Biol Sci. 2014;281:20141486.
Google Scholar 
Moran XAG, Lopez-Urrutia Á, Calvo-Díaz A, Li WKW. Increasing importance of small phytoplankton in a warmer ocean. Glob Change Biol. 2010;16:1137–44.Article 

Google Scholar 
Thomas MK, Kremer CT, Klausmeier CA, Litchman EA. Global pattern of thermal adaptation in marine phytoplankton. Science. 2012;338:1085–88.Article 
CAS 

Google Scholar 
Toseland ADSJ, Daines SJ, Clark JR, Kirkham A, Strauss J, Uhlig C, et al. The impact of temperature on marine phytoplankton resource allocation and metabolism. Nat Clim Change. 2013;3:979–84.Article 
CAS 

Google Scholar 
Collins S. Many Possible Worlds: Expanding the Ecological Scenarios in Experimental Evolution. Evol Biol. 2011;38:3–14.Article 

Google Scholar 
Qu PP, Fu F, Wang XW, Kling JD, Elghazzawy M, Huh M, et al. Two co‐dominant nitrogen‐fixing cyanobacteria demonstrate distinct acclimation and adaptation responses to cope with ocean warming. Env Microbiol Rep. 2022;14:203–17.Article 
CAS 

Google Scholar 
Lande R. Adaptation to an extraordinary environment by evolution of phenotypic plasticity and genetic assimilation. J Evol Biol. 2009;22:1435–46.Article 

Google Scholar 
Draghi J, Whitlock MC. Phenotypic plasticity facilitates mutational variance, genetic variance, and evolvability along the major axis of environmental variation. Evolution 2012;66:2891–902.Article 

Google Scholar 
Collins S, Rost B, Rynearson TA. Evolutionary potential of marine phytoplankton under ocean acidification. Evol Appl. 2014;7:140–55.Article 
CAS 

Google Scholar 
Kim H, Spivack AJ, Menden-Deuer S. pH alters the swimming behaviors of the raphidophyte Heterosigma akashiwo: Implications for bloom formation in an acidified ocean. Harmful Algae. 2013;26:1–11.Article 
CAS 

Google Scholar 
Hennon GMM, Quay P, Morales RL, Swanson LM, Armbrust EV. Acclimation conditions modify physiological response of the diatom Thalassiosira pseudonana to elevated CO2 concentrations in a nitrate-limited chemostat. J Phycol. 2014;50:243–53.Article 
CAS 

Google Scholar 
Daufresne M, Lengfellner K, Sommer U. Global warming benefits the small in aquatic ecosystems. Proc Natl Acad Sci. 2009;106:12788–93.Article 
CAS 

Google Scholar 
Atkinson D, Ciotti BJ, Montagnes DJS. Protists decrease in size linearly with temperature: ca. 2.5% °C-1. Proc R Soc Lond B 2003;270:2605–11.Article 

Google Scholar 
Tong S, Gao K, Hutchins DA. Adaptive evolution in the coccolithophore Gephyrocapsa oceanica following 1,000 generations of selection under elevated CO2. Glob Chang Biol 2018;24:3055–64.Article 

Google Scholar 
Kelly KJ, Fu FX, Jiang X, Li H, Xu D, Yang N, et al. Interactions between ultraviolet B radiation, warming, and changing nitrogen source may reduce the accumulation of toxic Pseudo-nitzschia multiseries biomass in future coastal oceans. Front Mar Sci. 2021;8:433.Article 

Google Scholar 
Sterner R, Elser, J Ecological stoichiometry. In: Levin SA, et al. (eds) The Princeton Guide to Ecology. Princeton Univ. Press, 2009. pp 376–85.Petrou K, Baker KG, Nielsen DA, Hancock AM, Schulz KG, Davidson AT. Acidification diminishes diatom silica production in the Southern Ocean. Nat Clim Change 2019;9:781–86.Article 
CAS 

Google Scholar  More

Heyes, B. Y. C. M. Social learning in animals: Categories and mechanisms. Biol. Rev. 69(2), 207–231. https://doi.org/10.1111/j.1469-185X.1994.tb01506.x (1994).Article 
CAS 

Google Scholar 
Hoppitt, W. & Laland, K. N. Social processes influencing learning in animals: A review of the evidence. Adv. Study Behav. 38, 105–165. https://doi.org/10.1016/S0065-3454(08)00003-X (2008).Article 

Google Scholar 
Kendal, R. L., Coolen, I. & Laland, K. N. Adaptive trade-offs in the use of social and personal information. In Cognitive Ecology II (eds Dukas, R. & Ratcliffe, J. M.) 249–271 (University of Chicago Press, 2009).Chapter 

Google Scholar 
Marshall-Pescini, S. & Whiten, A. Social learning of nut-cracking behavior in East African sanctuary-living chimpanzees (Pan troglodytes schweinfurthii). J. Comp. Psychol. 122(2), 186. https://doi.org/10.1037/0735-7036.122.2.186 (2008).Article 

Google Scholar 
Hobaiter, C., Poisot, T., Zuberbühler, K., Hoppitt, W. & Gruber, T. Social network analysis shows direct evidence for social transmission of tool use in wild chimpanzees. PLoS Biol. 12(9), e1001960. https://doi.org/10.1371/journal.pbio.1001960 (2014).Article 
CAS 

Google Scholar 
Coelho, C. G. et al. Social learning strategies for nut-cracking by tufted capuchin monkeys (Sapajus spp.). Anim. Cogn. 18(4), 911–919. https://doi.org/10.1007/s10071-015-0861-5 (2015).Article 
CAS 

Google Scholar 
Boyd, R. & Richerson, P. J. Culture and the evolutionary process (University of Chicago press, 1985).
Google Scholar 
Laland, K. N. Social learning strategies. Anim. Learn. Behav. 32(1), 4–14. https://doi.org/10.3758/BF03196002 (2004).Article 

Google Scholar 
Kendal, R. L. Animal ‘culture wars’: Evidence from the Wild?. Psychologist 21(4), 312–315 (2008).
Google Scholar 
Kendal, R. L., Kendal, J. R., Hoppitt, W. & Laland, K. N. Identifying social learning in animal populations: A new ‘option-bias’ method. PLoS ONE 4(8), e6541. https://doi.org/10.1371/journal.pone.0006541 (2009).Article 
ADS 
CAS 

Google Scholar 
Giraldeau, L. A., Valone, T. J. & Templeton, J. J. Potential disadvantages of using socially acquired information. Philos. Trans. R. Soc. Lond. Series B. 357(1427), 1559–1566. https://doi.org/10.1098/rstb.2002.1065 (2002).Article 

Google Scholar 
Kendal, R. L., Coolen, I., van Bergen, Y. & Laland, K. N. Trade-offs in the adaptive use of social and asocial learning. Adv. Study Behav. 35, 333–379. https://doi.org/10.1016/S0065-3454(05)35008-X (2005).Article 

Google Scholar 
Galef, B. G. Jr. Why behaviour patterns that animals learn socially are locally adaptive. Anim. Behav. 49(5), 1325–1334. https://doi.org/10.1006/anbe.1995.0164 (1995).Article 

Google Scholar 
Kendal, R. L. et al. Social learning strategies: Bridge-building between fields. Trends Cogn. Sci. 22(7), 651–665. https://doi.org/10.1016/j.tics.2018.04.003 (2018).Article 

Google Scholar 
Rendell, L. et al. Cognitive culture: Theoretical and empirical insights into social learning strategies. Trends Cogn. Sci. 15(2), 68–76. https://doi.org/10.1016/j.tics.2010.12.002 (2011).Article 

Google Scholar 
Dindo, M., Thierry, B. & Whiten, A. Social diffusion of novel foraging methods in brown capuchin monkeys (Cebus apella). Proc. R. Soc. B 275(1631), 187–193. https://doi.org/10.1098/rspb.2007.1318 (2008).Article 

Google Scholar 
Reader, S. M. & Biro, D. Experimental identification of social learning in wild animals. Learn. Behav. 38(3), 265–283. https://doi.org/10.3758/LB.38.3.265 (2010).Article 

Google Scholar 
Hoppitt, W. & Laland, K. N. Social Learning: An Introduction to Mechanisms, Methods, and Models (Princeton University Press, 2013).Book 

Google Scholar 
Byrne, R. W. & Russon, A. E. Learning by imitation: A hierarchical approach. Behav. Brain Sci. 21(5), 667–684. https://doi.org/10.1017/S0140525X9833174X (1998).Article 
CAS 

Google Scholar 
Kendal, R. L. et al. Evidence for social learning in wild lemurs (Lemur catta). Learn. Behav. 38(3), 220–234. https://doi.org/10.3758/LB.38.3.220 (2010).Article 

Google Scholar 
Lonsdorf, E. V. & Bonnie, K. E. Opportunities and constraints when studying social learning: Developmental approaches and social factors. Learn. Behav. 38(3), 195–205. https://doi.org/10.3758/LB.38.3.195 (2010).Article 

Google Scholar 
Coussi-korbel, S. & Fragaszy, M. On the relation between social dynamics and social learning. Anim. Behav. 50(6), 1441–1453. https://doi.org/10.1016/0003-3472(95)80001-8 (1995).Article 

Google Scholar 
Franz, M. & Nunn, C. L. Network-based diffusion analysis: A new method for detecting social learning. Proc. R. Soc. Lond B 276(1663), 1829–1836. https://doi.org/10.1098/rspb.2008.1824 (2009).Article 

Google Scholar 
Hoppitt, W., Boogert, N. J. & Laland, K. N. Detecting social transmission in networks. J. Theor. Biol. 263(4), 544–555. https://doi.org/10.1016/j.jtbi.2010.01.004 (2010).Article 
ADS 
MATH 

Google Scholar 
Hoppitt, W. & Laland, K. N. Detecting social learning using networks: A users guide. Am. J. Primatol. 73(8), 834–844. https://doi.org/10.1002/ajp.20920 (2011).Article 

Google Scholar 
Hasenjager, M. J., Leadbeater, E. & Hoppitt, W. Detecting and quantifying social transmission using network-based diffusion analysis. J. Anim. Ecol. 90(1), 8–26. https://doi.org/10.1111/1365-2656.13307 (2021).Article 

Google Scholar 
Schnoell, A. V. & Fichtel, C. Wild red-fronted lemurs (Eulemur rufifrons) use social information to learn new foraging techniques. Anim. Cogn. 15(4), 505–516. https://doi.org/10.1007/s10071-012-0477-y (2012).Article 

Google Scholar 
Coelho, C. Social Dynamics and Diffusion of Novel Behaviour Patterns in Wild Capuchin Monkeys (Sapajus libidinosus) Inhabiting the Serra da Capivara National Park. (Unpublished Doctoral Dissertation) (Durham University, 2015).
Google Scholar 
Claidière, N., Messer, E. J., Hoppitt, W. & Whiten, A. Diffusion dynamics of socially learned foraging techniques in squirrel monkeys. Curr. Biol. 23(13), 1251–1255. https://doi.org/10.1016/j.cub.2013.05.036 (2013).Article 
CAS 

Google Scholar 
van Leeuwen, E. J., Staes, N., Verspeek, J., Hoppitt, W. J. & Stevens, J. M. Social culture in bonobos. Curr. Biol. 30(6), R261–R262. https://doi.org/10.1016/j.cub.2020.02.038 (2020).Article 
CAS 

Google Scholar 
Canteloup, C., Hoppitt, W. & van de Waal, E. Wild primates copy higher-ranked individuals in a social transmission experiment. Nat. Commun. 11(1), 1–10. https://doi.org/10.1038/s41467-019-14209-8 (2020).Article 
CAS 

Google Scholar 
Kawai, M. Newly-acquired pre-cultural behavior of the natural troop of Japanese monkeys on Koshima Islet. Primates 6(1), 1–30. https://doi.org/10.1007/BF01794457 (1965).Article 

Google Scholar 
Huffman, M. A., Leca, J. B. & Nahallage, C. A. Cultured Japanese macaques: A multidisciplinary approach to stone handling behavior and its implications for the evolution of behavioral tradition in nonhuman primates. In The Japanese Macaques (eds Nakagawa, N. et al.) 191–219 (Springer, 2010). https://doi.org/10.1007/978-4-431-53886-8_9.Chapter 

Google Scholar 
Drapier, M. & Thierry, B. Social transmission of feeding techniques in Tonkean macaques?. Int. J. Primatol. 23(1), 105–122. https://doi.org/10.1023/A:1013201924975 (2002).Article 

Google Scholar 
Ducoing, A. M. & Thierry, B. Tool-use learning in Tonkean macaques (Macaca tonkeana). Anim. Cogn. 8(2), 103–113. https://doi.org/10.1007/s10071-004-0240-0 (2005).Article 

Google Scholar 
Ferrari, P. F. et al. Neonatal imitation in rhesus macaques. PLoS Biol. 4(9), e302. https://doi.org/10.1371/journal.pbio.0040302 (2006).Article 
CAS 

Google Scholar 
Leca, J. B., Gunst, N. & Huffman, M. A. The first case of dental flossing by a Japanese macaque (Macaca fuscata): Implications for the determinants of behavioral innovation and the constraints on social transmission. Primates 51(1), 13. https://doi.org/10.1007/s10329-009-0159-9 (2010).Article 

Google Scholar 
Macellini, S. et al. Individual and social learning processes involved in the acquisition and generalization of tool use in macaques. Philos. Trans. R. Soc. B 367(1585), 24–36. https://doi.org/10.1098/rstb.2011.0125 (2012).Article 
CAS 

Google Scholar 
Redshaw, J. Re-analysis of data reveals no evidence for neonatal imitation in rhesus macaques. Biol. Let. 15(7), 20190342. https://doi.org/10.1098/rsbl.2019.0342 (2019).Article 

Google Scholar 
Hook, M. A. et al. Inter-group variation in abnormal behavior in chimpanzees (Pan troglodytes) and rhesus macaques (Macaca mulatta). Appl. Anim. Behav. Sci. 76(2), 165–176. https://doi.org/10.1016/S0168-1591(02)00005-9 (2002).Article 

Google Scholar 
Watanabe, K., Urasopon, N. & Malaivijitnond, S. Long-tailed macaques use human hair as dental floss. Am. J. Primatol. 69(8), 940–944. https://doi.org/10.1002/ajp.20403 (2007).Article 

Google Scholar 
Gumert, M. D., Kluck, M. & Malaivijitnond, S. The physical characteristics and usage patterns of stone axe and pounding hammers used by long-tailed macaques in the Andaman Sea region of Thailand. Am. J. Primatol. 71(7), 594–608. https://doi.org/10.1002/ajp.20694 (2009).Article 

Google Scholar 
Tan, A. W., Hemelrijk, C. K., Malaivijitnond, S. & Gumert, M. D. Young macaques (Macaca fascicularis) preferentially bias attention towards closer, older, and better tool users. Anim. Cogn. 21(4), 551–563. https://doi.org/10.1007/s10071-018-1188-9 (2018).Article 

Google Scholar 
Bandini, E. & Tennie, C. Exploring the role of individual learning in animal tool-use. PeerJ 8, e9877. https://doi.org/10.7717/peerj.9877 (2020).Article 

Google Scholar 
Leca, J. B., Gunst, N., & Huffman, M. A. Japanese macaque cultures: Inter-and intra-troop behavioural variability of stone handling patterns across 10 troops. Behaviour, 251–281. https://www.jstor.org/stable/4536445 (2007).Tanaka, I. Matrilineal distribution of louse egg-handling techniques during grooming in free-ranging Japanese macaques. Am. J. Phys. Anthropol. 98(2), 197–201. https://doi.org/10.1002/ajpa.1330980208 (1995).Article 
CAS 

Google Scholar 
Tanaka, I. Social diffusion of modified louse egg-handling techniques during grooming in free-ranging Japanese macaques. Anim. Behav. 56(5), 1229–1236. https://doi.org/10.1006/anbe.1998.0891 (1998).Article 
CAS 

Google Scholar 
Whiten, A. & van de Waal, E. The pervasive role of social learning in primate lifetime development. Behav. Ecol. Sociobiol. 72(5), 1–16. https://doi.org/10.1007/s00265-018-2489-3 (2018).Article 

Google Scholar 
Widdig, A., Streich, W. J. & Tembrock, G. Coalition formation among male Barbary macaques (Macaca sylvanus). Am. J. Primatol. 50(1), 37–51. https://doi.org/10.1002/(SICI)1098-2345(200001)50:1%3c37::AID-AJP4%3e3.0.CO;2-3 (2000).Article 
CAS 

Google Scholar 
Thierry, B. Unity in diversity: Lessons from macaque societies. Evol. Anthropol. 16(6), 224–238. https://doi.org/10.1002/evan.20147 (2007).Article 

Google Scholar 
Berghänel, A., Ostner, J., Schröder, U. & Schülke, O. Social bonds predict future cooperation in male Barbary macaques, Macaca sylvanus. Anim. Behav. 81(6), 1109–1116. https://doi.org/10.1016/j.anbehav.2011.02.009 (2011).Article 

Google Scholar 
Carne, C., Wiper, S. & Semple, S. Reciprocation and interchange of grooming, agonistic support, feeding tolerance, and aggression in semi-free-ranging Barbary macaques. Am. J. Primatol. 73(11), 1127–1133. https://doi.org/10.1002/ajp.20979 (2011).Article 

Google Scholar 
Molesti, S. & Majolo, B. Cooperation in wild Barbary macaques: Factors affecting free partner choice. Anim. Cogn. 19(1), 133–146. https://doi.org/10.1007/s10071-015-0919-4 (2016).Article 

Google Scholar 
Rebout, N., Desportes, C. & Thierry, B. Resource partitioning in tolerant and intolerant macaques. Aggress. Behav. 43(5), 513–520. https://doi.org/10.1002/ab.21709 (2017).Article 

Google Scholar 
Amici, F., Caicoya, A. L., Majolo, B. & Widdig, A. Innovation in wild Barbary macaques (Macaca sylvanus). Sci. Rep. 10(1), 1–12. https://doi.org/10.1038/s41598-020-61558-2 (2020).Article 
CAS 

Google Scholar 
Fischer, J. Emergence of individual recognition in young macaques. Anim. Behav. 67(4), 655–661. https://doi.org/10.1016/j.anbehav.2003.08.006 (2004).Article 

Google Scholar 
Seyfarth, R. M. & Cheney, D. L. Production, usage, and comprehension in animal vocalizations. Brain Lang. 115(1), 92–100. https://doi.org/10.1016/j.bandl.2009.10.003 (2010).Article 

Google Scholar 
Garcia-Nisa, I. Communication and cultural transmission in populations of semi free-ranging Barbary macaques (Macaca sylvanus). (Doctoral dissertation). Durham University, United Kingdom. http://etheses.dur.ac.uk/14140/ (2021).Hoppitt, W. The conceptual foundations of network-based diffusion analysis: Choosing networks and interpreting results. Philos. Trans. R. Soc. B 372(1735), 20160418. https://doi.org/10.1098/rstb.2016.0418 (2017).Article 

Google Scholar 
Hikami, K., Hasegawa, Y. & Matsuzawa, T. Social transmission of food preferences in Japanese monkeys (Macaca fuscata) after mere exposure or aversion training. J. Comp. Psychol. 104(3), 233. https://doi.org/10.1037/0735-7036.104.3.233 (1990).Article 
CAS 

Google Scholar 
Deaner, R. O., Khera, A. V. & Platt, M. L. Monkeys pay per view: Adaptive valuation of social images by rhesus macaques. Curr. Biol. 15(6), 543–548. https://doi.org/10.1016/j.cub.2005.01.044 (2005).Article 
CAS 

Google Scholar 
Gariépy, J. F. et al. Social learning in humans and other animals. Front. Neurosci. 8, 58. https://doi.org/10.3389/fnins.2014.00058 (2014).Article 

Google Scholar 
Barrett, B. J., McElreath, R. L. & Perry, S. E. Pay-off-biased social learning underlies the diffusion of novel extractive foraging traditions in a wild primate. Proc. R. Soc. B 284(1856), 20170358. https://doi.org/10.1098/rspb.2017.0358 (2017).Article 

Google Scholar 
Kuester, J. & Paul, A. Group fission in Barbary macaques (Macaca sylvanus) at Affenberg Salem. Int. J. Primatol. 18(6), 941–966. https://doi.org/10.1023/A:1026396113830 (1997).Article 

Google Scholar 
Whitehead, H. Analyzing Animal Societies: Quantitative Methods for Vertebrate Social Analysis (University of Chicago Press, 2008).Book 

Google Scholar 
Hoppitt, W. (2011). NBDA User Guide V1.2. https://lalandlab.st-andrews.ac.uk/freeware/ 28 Sept 2016.Fleiss, J. L., Levin, B. & Paik, M. C. Statistical Methods for Rates and Proportions 3rd edn. (Wiley, 2003).Book 
MATH 

Google Scholar 
McHugh, M. L. Interrater reliability: the kappa statistic. Biochemia medica: Biochemia medica, 22(3), 276–282. https://hrcak.srce.hr/89395 (2012).Hair, J. F., Anderson, R. E., Babin, B. J. & Black, W. C. Multivariate Data Analysis: A Global Perspective Vol. 7 (Pearson Education, 2010).
Google Scholar 
Campbell, L. A., Tkaczynski, P. J., Lehmann, J., Mouna, M. & Majolo, B. Social thermoregulation as a potential mechanism linking sociality and fitness: Barbary macaques with more social partners form larger huddles. Sci. Rep. 8(1), 1–8. https://doi.org/10.1038/s41598-018-24373-4 (2018).Article 
CAS 

Google Scholar 
Barrett, L., Henzi, S. P., Weingrill, T., Lycett, J. E. & Hill, R. A. Market forces predict grooming reciprocity in female baboons. Proc. R. Soc. Lond. Ser. B 266(1420), 665–670. https://doi.org/10.1098/rspb.1999.0687 (1999).Article 

Google Scholar 
Henzi, S. P. et al. Effect of resource competition on the long-term allocation of grooming by female baboons: Evaluating Seyfarth’s model. Anim. Behav. 66(5), 931–938. https://doi.org/10.1006/anbe.2003.2244 (2003).Article 

Google Scholar 
Ueno, M. & Nakamichi, M. Grooming facilitates huddling formation in Japanese macaques. Behav. Ecol. Sociobiol. 72(6), 1–10. https://doi.org/10.1007/s00265-018-2514-6 (2018).Article 

Google Scholar 
Carter, A. J., Tico, M. T. & Cowlishaw, G. Sequential phenotypic constraints on social information use in wild baboons. Elife 5, e13125. https://doi.org/10.7554/eLife.13125.001 (2016).Article 

Google Scholar 
Barelli, C., Reichard, U. H. & Mundry, R. Is grooming used as a commodity in wild white-handed gibbons, Hylobates lar?. Anim. Behav. 82(4), 801–809. https://doi.org/10.1016/j.anbehav.2011.07.012 (2011).Article 

Google Scholar 
Schülke, O., Dumdey, N. & Ostner, J. Selective attention for affiliative and agonistic interactions of dominants and close affiliates in macaques. Sci. Rep. 10(1), 1–8. https://doi.org/10.1038/s41598-020-62772-8 (2020).Article 
CAS 

Google Scholar 
Heesen, M., Macdonald, S., Ostner, J. & Schülke, O. Ecological and social determinants of group cohesiveness and within-group spatial position in wild Assamese macaques. Ethology 121(3), 270–283. https://doi.org/10.1111/eth.12336 (2015).Article 

Google Scholar 
Ortiz, K. M. Female feeding competition in a folivorous primate (Propithecus verreauxi) with formalized dominance hierarchies: contest or scramble? (Doctoral dissertation). University of Texas, USA. https://repositories.lib.utexas.edu/handle/2152/34120 (2015).Jurczyk, V., Fröber, K. & Dreisbach, G. Increasing reward prospect motivates switching to the more difficult task. Mot. Sci. 5(4), 295–313. https://doi.org/10.1037/mot0000119 (2019).Article 

Google Scholar 
Rathke, E. M. & Fischer, J. Differential ageing trajectories in motivation, inhibitory control and cognitive flexibility in Barbary macaques (Macaca sylvanus). Philos. Trans. R. Soc. B 375(1811), 20190617. https://doi.org/10.1098/rstb.2019.0617 (2020).Article 

Google Scholar 
Kendal, R. et al. Chimpanzees copy dominant and knowledgeable individuals: Implications for cultural diversity. Evol. Hum. Behav. 36(1), 65–72. https://doi.org/10.1016/j.evolhumbehav.2014.09.002 (2015).Article 

Google Scholar 
van de Waal, E., Claidière, N. & Whiten, A. Social learning and spread of alternative means of opening an artificial fruit in four groups of vervet monkeys. Anim. Behav. 85(1), 71–76. https://doi.org/10.1016/j.anbehav.2012.10.008 (2013).Article 

Google Scholar 
Luncz, L. V. & Boesch, C. Tradition over trend: Neighboring chimpanzee communities maintain differences in cultural behavior despite frequent immigration of adult females. Am. J. Primatol. 76(7), 649–657. https://doi.org/10.1002/ajp.22259 (2014).Article 

Google Scholar 
van Leeuwen, E. J., Acerbi, A., Kendal, R. L., Tennie, C. & Haun, D. B. A reappreciation of ‘conformity’. Anim. Behav. 122, e5–e10. https://doi.org/10.1016/j.anbehav.2016.09.010 (2016).Article 

Google Scholar 
Horner, V. & Whiten, A. Causal knowledge and imitation/emulation switching in chimpanzees (Pan troglodytes) and children (Homo sapiens). Anim. Cogn. 8(3), 164–181. https://doi.org/10.1007/s10071-004-0239-6 (2005).Article 

Google Scholar 
Wood, L. The influence of model-based biases and observer prior experience on social learning mechanisms and strategies. (Doctoral dissertation). Durham University, United Kingdom. http://etheses.dur.ac.uk/7274/ (2013).van Leeuwen, E. J., Cronin, K. A., Schütte, S., Call, J. & Haun, D. B. Chimpanzees (Pan troglodytes) flexibly adjust their behaviour in order to maximize payoffs, not to conform to majorities. PLoS ONE 8(11), e80945. https://doi.org/10.1371/journal.pone.0080945 (2013).Article 
CAS 

Google Scholar 
Vale, G. L., Flynn, E. G., Lambeth, S. P., Schapiro, S. J. & Kendal, R. L. Public information use in chimpanzees (Pan troglodytes) and children (Homo sapiens). J. Comp. Psychol. 128(2), 215–223. https://doi.org/10.1037/a0034420 (2014).Article 

Google Scholar 
Canteloup, C., Cera, M. B., Barrett, B. J. & van de Waal, E. Processing of novel food reveals payoff and rank-biased social learning in a wild primate. Sci. Rep. 11(1), 1–13. https://doi.org/10.1038/s41598-021-88857-6 (2021).Article 
CAS 

Google Scholar 
Boccaletti, S. et al. The structure and dynamics of multilayer networks. Phys. Rep. 544(1), 1–122. https://doi.org/10.1016/j.physrep.2014.07.001 (2014).Article 
ADS 
CAS 

Google Scholar 
Kivela, M. et al. Multilayer networks. J. Complex Netw. 2(3), 203e271. https://doi.org/10.1093/comnet/cnu016 (2014).Article 

Google Scholar 
Snijders, L. & Naguib, M. Communication in animal social networks: A missing link. Adv. Study Behav. 49, 297–359. https://doi.org/10.1016/bs.asb.2017.02.004 (2017).Article 

Google Scholar 
Finn, K. R., Silk, M. J., Porter, M. A. & Pinter-Wollman, N. The use of multilayer network analysis in animal behaviour. Anim. Behav. 149, 7–22. https://doi.org/10.1016/j.anbehav.2018.12.016 (2019).Article 

Google Scholar  More

Duke, N. C. et al. Mar. Freshw. Res. 68, 1816–1829 (2017).Article 

Google Scholar 
Li, W. et al. Nat. Sustain. https://doi.org/10.1038/s41893-022-01020-5 (2023).Article 

Google Scholar 
Potapov, P. et al. Ecol. Soc. 13, 51 (2008).Article 

Google Scholar 
Hancock, S. et al. Earth Space Sci. 6, 294–310 (2019).Article 

Google Scholar 
Wade, C. M. et al. Forests 11, 539 (2020).Article 

Google Scholar 
Abhilash, P. C. Land 10, 201 (2021).Article 

Google Scholar 
Biermann, F., Kanie, N. & Kim, R. E. Curr. Opin. Environ. Sustain. 26–27, 26–31 (2017).Article 

Google Scholar 
den Elzen, M. et al. Energy Policy 126, 238–250 (2019).Article 

Google Scholar 
Betts, M. G. et al. Nature 547, 441–444 (2017).Article 
CAS 

Google Scholar 
Watson, J. E. M. et al. Nat. Ecol. Evol. https://doi.org/10.1038/s41559-018-0490-x (2018).Article 

Google Scholar  More

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/1247Kottek, 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). More

Sampling and incubationFour rock samples were collected from the 3.7 km-deep Auka vent field in the Southern Pescadero Basin (23.956094N, 108.86192W)20,23. Sample NA091.008 was collected in 2017 on cruise NA091 with the Eexploration vessle Nautilus and incubated as described previously34. Samples 12,019 (S0200-R1), 11,719 (S0193-R2) and 11,868 (S0197-PC1), the latter representing a lithified nodule recovered from a sediment push core, were collected with Remotely operated vehicle SuBastian and Research vessel Falkor on cruise FK181031 in November 2018. These samples were processed shipboard and stored under anoxic conditions at 4 °C for subsequent incubation in the laboratory. In the laboratory, rock samples 12,019 and 11,719 were broken into smaller pieces under sterile conditions, immersed in N2-sparged sterilized artificial sea water and incubated under anoxic conditions with methane, as described previously for NA091.008 (ref. 34). Additional sampling information can be found in Supplementary Table 1. Mineralogical analysis by X-ray Powder Diffraction (XRD) identified barite in several of these samples, collected from two locations in the Auka vent field, including on the western side of the Matterhorn vent (11,719, NA091.008), and one oil-saturated sample (12,019) recovered from the sedimented flanks from the southern side of Z vent. Our analysis also includes metagenomic data from two sediment cores from the Auka vent field (DR750-PC67 and DR750-PC80) collected in April 2015 with the ROV Doc Ricketts and R/V Western Flyer (MBARI2015), previously published (ref. 23).Fluorescence in situ hybridizationSamples were fixed shipboard using freshly prepared paraformaldehyde (2 vol% in 3× Phosphate Buffer Solution (PBS), EMS15713) at 4 °C overnight, rinsed twice using 3× PBS, and stored in ethanol (50% in 1× PBS) at −20 °C until processing. Small pieces ( More

Dirzo, R. et al. Defaunation in the Anthropocene. Science 345, 401–406 (2014).Article 
ADS 
CAS 

Google Scholar 
Young, H. S., McCauley, D. J., Galetti, M. & Dirzo, R. Patterns, causes, and consequences of anthropocene defaunation. Annu. Rev. Ecol. Evol. Syst. 47, 333–358 (2016).Article 

Google Scholar 
Hoffmann, M. et al. The impact of conservation on the status of the world’s vertebrates. Science 330, 1503–1509 (2010).Article 
ADS 
CAS 

Google Scholar 
Ceballos, G. et al. Accelerated modern human–induced species losses: Entering the sixth mass extinction. Sci. Adv. 1, e1400253 (2015).Article 
ADS 

Google Scholar 
Ceballos, G., Ehrlich, P. R. & Dirzo, R. Biological annihilation via the ongoing sixth mass extinction signalled by vertebrate population losses and declines. PNAS 114, E6089–E6096 (2017).Article 
ADS 
CAS 

Google Scholar 
Almond, R. E. A. et al. (eds) Living Planet Report 2020—Bending the Curve of Biodiversity Loss (WWF, 2020).
Google Scholar 
Murali, G., de Oliveira Caetano, G. H., Barki, G., Meiri, S. & Roll, U. Emphasizing declining populations in the Living Planet Report. Nature 601, E20–E24 (2022).Article 
CAS 

Google Scholar 
Pianka, E. R., Vitt, L. J., Pelegrin, N., Fitzgerald, D. B. & Winemiller, K. O. Toward a periodic table of niches, for exploring the lizard niche hypervolume. Am. Nat. 190, 601–616 (2017).Article 

Google Scholar 
Cox, D. T. C., Gardner, A. S. & Gaston, K. J. Diel niche variation in mammals associated with expanded trait space. Nat. Commun. 12, 1753 (2021).Article 
ADS 
CAS 

Google Scholar 
Cox, D. T. C., Baker, D. J., Gardner, A. S. & Gaston, K. J. Global variation in unique and redundant mammal functional diversity across the daily cycle. J. Biogeogr. In PressChichorro, F., Juslén, A. & Cardoso, P. A review of the relation between species traits and extinction risk. Biol. Conserv. 237, 220–229 (2019).Article 

Google Scholar 
Cox, D. T. C., Gardner, A. S. & Gaston, K. J. Global and regional erosion of mammalian functional diversity across the diel cycle. Sci. Adv. 8, adb6008 (2022).Article 

Google Scholar 
Levy, O., Dayan, T., Porter, W. P. & Kronfeld-Schor, N. Time and ecological resilience: Can diurnal animals compensate for climate change by shifting to nocturnal activity?. Ecol. Monogr. 89, e01334 (2019).Article 

Google Scholar 
Bonebrake, T. C., Rezende, E. L. & Bozinovic, F. Climate change and thermoregulatory consequences of activity time in mammals. Am. Nat. 196, 45–56 (2020).Article 

Google Scholar 
Cox, D. T. C., Maclean, I. M. D., Gardner, A. S. & Gaston, K. J. Global variation in diurnal asymmetry in temperature, cloud cover, specific humidity and precipitation and its association with leaf area index. Glob. Change Biol. 26, 7099–7111 (2020).Article 
ADS 

Google Scholar 
Fritts, T. H. & Rodda, G. H. The role of introduced species in the degradation of island ecosystems: A case history of Guam. Annu. Rev. Ecol. Evol. Syst. 29, 113–140 (1998).Article 

Google Scholar 
Su, J.-Q., Han, X. & Chen, B.-M. Do day and night warming exert different effects on growth and competitive interaction between invasive and native plants?. Biol. Invasions 23, 157–166 (2021).Article 

Google Scholar 
Peres, C. A. Synergistic effects of subsistence hunting and habitat fragmentation on Amazonian forest vertebrates. Conserv. Biol. 15, 1490–1505 (2001).Article 

Google Scholar 
Brook, B. W., Sodhi, N. S. & Bradshaw, C. J. A. Synergies among extinction drivers under global change. Trends Ecol. Evol. 23, 453–460 (2008).Article 

Google Scholar 
Brodie, J. F. Synergistic effects of climate change and agricultural land use on mammals. Front. Ecol. Environ. 14, 20–26 (2016).Article 

Google Scholar 
Brodie, J. F., Williams, S. & Garner, B. The decline of mammal functional and evolutionary diversity worldwide. PNAS https://doi.org/10.1073/pnas.1921849118 (2021).Article 

Google Scholar 
IUCN. The IUCN Red List of threatened species. Version 2021-3. https://www.iucnredlist.org. Downloaded on [21stt March 2022] (2021).Faurby, S. et al. PHYLACINE 1.2.1: The phylogenetic atlas of mammal macroecology. Ecology. 99, 2626–2626 (2018).Article 

Google Scholar 
Ripple, W. J. et al. Bushmeat hunting and extinction risk to the world’s mammals. R. Soc. Open Sci. 3, 160498 (2016).Article 
ADS 

Google Scholar 
Ripple, W. J. et al. Are we eating the world’s megafauna to extinction? Conserv. Lett. 12, e12627 (2019).Article 

Google Scholar 
Nasi, R., Taber, A. & Van Vliet, N. Empty forests, empty stomachs? Bushmeat and livelihoods in the Congo and Amazon Basins. Int. For. Rev. 13, 355–368 (2011).
Google Scholar 
Woinarski, J. C. Z., Burbidge, A. A. & Harrison, P. L. Ongoing unravelling of a continental fauna: decline and extinction of Australian mammals since European settlement. PNAS 112, 4531–4540 (2015).Article 
ADS 
CAS 

Google Scholar 
Welbergen, J. A., Klose, S. M., Markus, N. & Eby, P. Climate change and the effects of the temperature extremes on Australian flying-foxes. Proc. R. Soc. B. 275, 419–425 (2008).Article 

Google Scholar 
Ramesh, T., Kalle, R., Sankar, K. & Qureshi, Q. Role of body size in activity budget of mammals in the Western ghats of India. J. Trop. Biol. 31, 315–323 (2015).
Google Scholar 
Gaynor, K. M., Hojnowski, C. E., Carter, N. H. & Brashares, J. S. The influence of human disturbance on wildlife nocturnality. Science 360, 1232–1235 (2018).Article 
ADS 
CAS 

Google Scholar 
Bennie, J. J., Duffy, J. P., Inger, R. & Gaston, K. J. Biogeography of time partitioning in mammals. PNAS 111, 13727–13732 (2014).Article 
ADS 
CAS 

Google Scholar 
Forbes, B. C. et al. Sea ice, rain-on-snow and tundra reindeer nomadism in Arctic Russia. Biol. Lett. 12, 20160466 (2016).Article 

Google Scholar 
Safronov, V. M. Climate change and mammals of Yakutia. Biol. Bull Russ. Acad. Sci. 43, 1256–1270 (2016).Article 

Google Scholar 
Galán-Acedo, C. et al. The conservation value of human-modified landscapes for the world’s primates. Nat. Commun. 10, 152 (2019).Article 
ADS 

Google Scholar 
Gaston, K. J. Nighttime ecology: the “nocturnal problem” revisited. Am. Nat. 193, 481–502 (2019).Article 

Google Scholar 
Mittermeier, R., Rylands, A., Lacher, T. & Wilson, D. Handbook of the Mammals of the World Vol. 1–3 & 5–9 (Lynx Edicions, Cham, 2001-2019).
Google Scholar 
Ives, A. R. & Garland, T. Jr. Phylogenetic logistic regression for binary dependent variables. Syst. Biol. 59, 9–26 (2010).Article 

Google Scholar 
Ho, T. & Ané, C. A linear-time algorithm for Gaussian and non-Gaussian trait evolution models. Syst. Biol. 63, 397–408 (2014).Article 

Google Scholar 
Penone, C. et al. Imputation of missing data in life-history trait datasets: which approach performs the best? Methods Ecol. Evol. 5, 961–970 (2014).Article 

Google Scholar 
Brodzik, M. J., Billingsley, B., Haran, T., Raup, B. & Savoie, M. H. EASE-Grid 2.0: Incremental but significant improvements for earth-gridded data sets. ISPRS Int. J. Geo-Inf. 1, 32–45 (2012).Article 

Google Scholar  More