Philippa Kaur

Dauvin, J. C. et al. The well sorted fine sand community from the western Mediterranean Sea: A resistant and resilient marine habitat under diverse human pressures. Environ. Pollut. 224, 336–351 (2017).CAS 
PubMed 
Article 

Google Scholar 
Obolewski, K. & Glińska-Lewczuk, K. Connectivity and complexity of coastal lakes as determinants for their restoration-A case study of the southern Baltic Sea. Ecol. Eng. 155, 1700 (2020).Article 

Google Scholar 
Dobrowolski, Z. Occurrence of macrobenthos in different littoral habitats of the polymictic Lebsko lake. Ekologia Polska 42, 19–40 (1994).
Google Scholar 
Paturej, E., Gutkowska, A. & Durczak, K. Biodiversity and indicative role of zooplankton in the shallow macrophyte-dominated lake Łuknajno. Pol. J. Nat. Sci. 27, 53–66 (2012).
Google Scholar 
Obolewski, K. et al. Patterns of salinity regime in coastal lakes based on structure of benthic invertebrates. PLoS ONE 13, 150 (2018).Article 
CAS 

Google Scholar 
Lew, S., Glińska-Lewczuk, K. & Lew, M. The effects of environmental parameters on the microbial activity in peat-bog lakes. PLoS ONE 14, 179 (2019).
Google Scholar 
Bremner, J. Species’ traits and ecological functioning in marine conservation and management. J. Exp. Mar. Biol. Ecol. 366, 37–47 (2008).Article 

Google Scholar 
Törnroos, A. & Bonsdorff, E. Developing the multitrait concept for functional diversity: Lessons from a system rich in functions but poor in species. Ecol. Appl. 22, 2221–2236 (2012).PubMed 
Article 

Google Scholar 
Baldrighi, E. & Manini, E. Deep-sea meiofauna and macrofauna diversity and functional diversity: are they related?. Mar. Biodivers. 45, 469–488 (2015).Article 

Google Scholar 
Belley, R. & Snelgrove, P. V. R. Relative contributions of biodiversity and environment to benthic ecosystem functioning. Front. Mar. Sci. 3, 7598 (2016).Article 

Google Scholar 
Díaz, S. & Cabido, M. Vive la différence: Plant functional diversity matters to ecosystem processes. Trends Ecol. Evol. 16, 646–655 (2001).Article 

Google Scholar 
Gagic, V. et al. Functional identity and diversity of animals predict ecosystem functioning better than species-based indices. Proc. R. Soc. B Biol. Sci. 282, 689 (2015).
Google Scholar 
Ding, N. et al. Different responses of functional traits and diversity of stream macroinvertebrates to environmental and spatial factors in the Xishuangbanna watershed of the upper Mekong River Basin, China. Sci. Total Environ. 574, 288–299 (2017).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Kenny, A. J. et al. Assessing cumulative human activities, pressures, and impacts on North Sea benthic habitats using a biological traits approach. ICES J. Mar. Sci. 75, 1080–1092 (2018).Article 

Google Scholar 
Llanos, E. N., Saracho Bottero, M. A., Jaubet, M. L., Elías, R. & Garaffo, G. V. Functional diversity in the intertidal macrobenthic community at sewage-affected shores from Southwestern Atlantic. Mar. Pollut. Bull. 157, 7448 (2020).Article 
CAS 

Google Scholar 
Paganelli, D., Marchini, A. & Occhipinti-Ambrogi, A. Functional structure of marine benthic assemblages using Biological Traits Analysis (BTA): A study along the Emilia-Romagna coastline (Italy, North-West Adriatic Sea). Estuar. Coast. Shelf Sci. 96, 245–256 (2012).ADS 
Article 

Google Scholar 
Nasi, F. et al. Functional biodiversity of marine soft-sediment polychaetes from two Mediterranean coastal areas in relation to environmental stress. Mar. Environ. Res. 137, 121–132 (2018).CAS 
PubMed 
Article 

Google Scholar 
Harwell, M. A. et al. Conceptual framework for assessing ecosystem health. Integr. Environ. Assess. Manag. 15, 544–564 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
Hu, C. et al. Macrobenthos functional trait responses to heavy metal pollution gradients in a temperate lagoon. Environ. Pollut. 253, 1107–1116 (2019).CAS 
PubMed 
Article 

Google Scholar 
Ramsay, K., Kaiser, M. J. & Hughes, R. N. Responses of benthic scavengers to fishing disturbance by towed gears in different habitats. J. Exp. Mar. Biol. Ecol. 224, 4458 (1998).Article 

Google Scholar 
Sigala, K., Reizopoulou, S., Basset, A. & Nicolaidou, A. Functional diversity in three Mediterranean transitional water ecosystems. Estuar. Coast. Shelf Sci. 110, 202–209 (2012).ADS 
Article 

Google Scholar 
de Loiola, P. P., Cianciaruso, M. V., Silva, I. A. & Batalha, M. A. Functional diversity of herbaceous species under different fire frequencies in Brazilian savannas. Flora Morphol. Distrib. Funct. Ecol. Plants 205, 674–681 (2010).Article 

Google Scholar 
Schleuter, D., Daufresne, M., Massol, F. & Argillier, C. A user’s guide to functional diversity indices. Ecological Monographs vol. 80 http://www.scopus.com/scopus/search/form.urli (2010).Wan, H. W. M. R., Cooper, K. M., Froján, C. R. S. B., Defew, E. C. & Paterson, D. M. Impacts of physical disturbance on the recovery of a macrofaunal community: A comparative analysis using traditional and novel approaches. Ecol. Indicators 12, 37–45 (2012).Article 

Google Scholar 
Millet, B. & Guelorget, O. Spatial and seasonal variability in the relationships between benthic communities and physical environment in a lagoon ecosystem. Mar. Ecol. Prog. Ser. 108, 161–174 (1994).ADS 
Article 

Google Scholar 
McLusky, D. S. & Elliott, M. The Estuarine Ecosystem (Oxford University Press, 2004). https://doi.org/10.1093/acprof:oso/9780198525080.001.0001.Book 

Google Scholar 
Mrozińska, N. & Bąkowska, M. Effects of heavy metals in lake water and sediments on bottom invertebrates inhabiting the brackish coastal lake Łebsko on the southern baltic coast. Int. J. Environ. Res. Public Health 17, 1–19 (2020).Article 
CAS 

Google Scholar 
Petchey, O. L. & Gaston, K. J. Functional diversity: Back to basics and looking forward. Ecol. Lett. 9, 741–758 (2006).PubMed 
Article 

Google Scholar 
Villéger, S., Miranda, J. R., Hernández, D. F. & Mouillot, D. Contrasting changes in taxonomic vs. functional diversity of tropical fish communities after habitat degradation. Ecol. Appl. 20, 1512–1522 (2010).PubMed 
Article 

Google Scholar 
Dolédec, S. & Statzner, B. Theoretical habitat templets, species traits, and species richness: 548 plant and animal species in the Upper Rhône River and its floodplain. Freshw. Biol. 31, 523–538 (1994).Article 

Google Scholar 
Usseglio-Polatera, P., Bournaud, M., Richoux, P. & Tachet, H. Biomonitoring through biological traits of benthic macroinvertebrates: How to use species trait databases?. Hydrobiologia 422, 153–162 (2000).Article 

Google Scholar 
Charvet, S., Statzner, B., Usseglio-Polatera, P. & Dumont, B. Traits of benthic macroinvertebrates in semi-natural French streams: An initial application to biomonitoring in Europe. Freshw. Biol. 43, 277–296 (2000).Article 

Google Scholar 
Statzner, B., Dolédec, S. & Hugueny, B. Biological trait composition of European stream invertebrate communities: Assessing the effects of various trait filter types. Ecography 27, 470–488 (2004).Article 

Google Scholar 
Bremner, J., Rogers, S. I. & Frid, C. L. J. Assessing functional diversity in marine benthic ecosystems: A comparison of approaches. Mar Ecol Prog Ser 254, 5589 (2003).Article 

Google Scholar 
Tillin, H., Hiddink, J., Jennings, S. & Kaiser, M. Chronic bottom trawling alters the functional composition of benthic invertebrate communities on a sea-basin scale. Mar. Ecol. Prog. Ser. 318, 31–45 (2006).ADS 
Article 

Google Scholar 
Marchini, A., Munari, C. & Mistri, M. Functions and ecological status of eight Italian lagoons examined using biological traits analysis (BTA). Mar. Pollut. Bull. 56, 1076–1085 (2008).CAS 
PubMed 
Article 

Google Scholar 
Boikova, E., Botva, U. & Līcīte, V. Implementation of trophic status index in brackish water quality assessment of baltic coastal waters. Proc. Latv. Acad. Sci. Sect. B 62, 115–119 (2008).CAS 

Google Scholar 
Wielgat-Rychert, M., Jarosiewicz, A., Ficek, D., Pawlik, M. & Rychert, K. Nutrient fluxes and their impact on the phytoplankton in a Shallow Coastal Lake. Polish J. Environ. Stud. 24, 7780 (2015).Article 
CAS 

Google Scholar 
Kruk, C., Devercelli, M. & Huszar, V. L. Reynolds Functional Groups: A trait-based pathway from patterns to predictions. Hydrobiologia 848, 113–129 (2021).Article 

Google Scholar 
Trojanowski, J., Trojanowska, C. & Korzeniewski, K. Trophic state of coastal lakes. Polish Arch. Hydrobiol. 38, 23–34 (1975).
Google Scholar 
Astel, A. M., Bigus, K., Obolewski, K. & Glińska-Lewczuk, K. Spatiotemporal assessment of water chemistry in intermittently open/closed coastal lakes of Southern Baltic. Estuar. Coast. Shelf Sci. 182, 47–59 (2016).ADS 
CAS 
Article 

Google Scholar 
Choiński, A. Changes in morphometrics of the coastal lakes. in Hydroecological Determinants of Functioning of Southern Baltic Coastal Lakes (eds. Obolewski, K., Astel, A. & Kujawa, R.) 26–37 (PWN, 2017).Obolewski, K., Glińska-Lewczuk, K., Bąkowska, M., Szymańska, M. & Mrozińska, N. Patterns of phytoplankton composition in coastal lakes differed by connectivity with the Baltic Sea. Sci. Total Environ. 631–632, 951–961 (2018).ADS 
PubMed 
Article 
CAS 

Google Scholar 
Szymańska-Walkiewicz, M., Glińska-Lewczuk, K., Burandt, P. & Obolewski, K. Phytoplankton sensitivity to heavy metals in Baltic Coastal Lakes. Int. J. Environ. Res. Public Health 19, 4131 (2022).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Mrozińska, N., Glińska-Lewczuk, K. & Obolewski, K. Salinity as a key factor on the benthic fauna diversity in the coastal lakes. Animals 11, 7440 (2021).Article 

Google Scholar 
Bremner, J., Rogers, S. I. & Frid, C. L. J. Methods for describing ecological functioning of marine benthic assemblages using biological traits analysis (BTA). Ecol. Ind. 6, 609–622 (2006).Article 

Google Scholar 
Papageorgiou, N., Sigala, K. & Karakassis, I. Changes of macrofaunal functional composition at sedimentary habitats in the vicinity of fish farms. Estuar. Coast. Shelf Sci. 83, 561–568 (2009).ADS 
CAS 
Article 

Google Scholar 
Lam-Gordillo, O., Baring, R. & Dittmann, S. Ecosystem functioning and functional approaches on marine macrobenthic fauna: A research synthesis towards a global consensus. Ecol Indic 115, 5589 (2020).Article 

Google Scholar 
Kołodziejczyk, A. & Koperski, P. Bezkręgowce słodkowodne Polski: klucz do oznaczania oraz podstawy biologii i ekologii makrofauny. (Wydawnictwa Uniwersytetu Warszawskiego, 2000).Wiederholm, Torgny. Chironomidae of the Holarctic Region: Keys and Diagnoses. Part 1: larvae. (1983).Antsulevich, A. et al. Helcom, 2012. Development of a set of core indicators: Interim report of the HELCOM CORESET project. PART A. Description of the selection process. (2012).Piechocki, A. & Wawrzyniak-Wydrowska, B. Guide to Freshwater and Marine Mollusca of Poland. (2016).Zettler, M. L. et al. Biodiversity gradient in the Baltic Sea: A comprehensive inventory of macrozoobenthos data. Helgol. Mar. Res. 68, 49–57 (2014).ADS 
Article 

Google Scholar 
Palomares, M. L. D. & Pauly, D. SeaLifeBase. https://www.sealifebase.ca/ (2021).MarLIN. BIOTIC-biological traits information catalogue. Marine Life Information Network. Plymouth: Marine Biological Association of the UK. http://www.marlin.ac.uk/biotic/ (2006).Horton, T. et al. World Register of Marine Species (WoRMS). https://www.marinespecies.org (2021).Chevene, F., Doleadec, S. & Chessel, D. A fuzzy coding approach for the analysis of long-term ecological data. Freshw. Biol. 31, 295–309 (1994).Article 

Google Scholar 
Oug, E., Fleddum, A., Rygg, B. & Olsgard, F. Biological traits analyses in the study of pollution gradients and ecological functioning of marine soft bottom species assemblages in a fjord ecosystem. J. Exp. Mar. Biol. Ecol. 432–433, 94–105 (2012).Article 

Google Scholar 
Egres, A. G., Hatje, V., Miranda, D. A., Gallucci, F. & Barros, F. Functional response of tropical estuarine benthic assemblages to perturbation by Polycyclic Aromatic Hydrocarbons. Ecol. Ind. 96, 229–240 (2019).CAS 
Article 

Google Scholar 
Charvet, S., Kosmala, A. & Statzner, B. Biomonitoring through biological traits of benthic macroinvertebrates: Perspectives for a general tool in stream management. Fundam. Appl. Limnol. 142, 415–432 (1998).Article 

Google Scholar 
Clarke, K. R. & Gorley, R. N. PRIMER v6: User Manual/Tutorial. (2006).Dobrowolski, Z. Density, biomass, and distribution of benthic invertebrates in the mid-lake zone of the coastal Lake Gardno. Oceanol. Stud. 30, 39–58 (2001).
Google Scholar 
Michaud, E., Desrosiers, G., Mermillod-Blondin, F., Sundby, B. & Stora, G. The functional group approach to bioturbation: II. The effects of the Macoma balthica community on fluxes of nutrients and dissolved organic carbon across the sediment-water interface. J. Exp. Mar. Biol. Ecol. 337, 178–189 (2006).CAS 
Article 

Google Scholar 
Taurusman, A. A. Community structure of macrozoobenthic feeding guilds in responses to eutrophication in Jakarta Bay. Biodivers. J. Biol. Divers. 11, 998 (2010).Article 

Google Scholar 
Uwadiae, R. E. Macroinvertebrates functional feeding groups as indices of biological assessment in a tropical aquatic ecosystem: implications for ecosystem functions. New York Sci. J. 3, 778 (2010).
Google Scholar 
Obolewski, K., Glińska-Lewczuk, K., Sidoruk, M. & Szymańska, M. M. Response of benthic fauna to habitat heterogeneity in a shallow temperate lake. Animals 11, 558 (2021).Article 

Google Scholar 
Rhoads, D. C. Organism-sediment relations on the muddy sea floor. in Oceanography and Marine Biology: An Annual Review. vol. 12 263–300 (Aberdeen University Press/Allen & Unwin, 1974).Thrush, S. F., Hewitt, J. E., Gibbs, M., Lundquist, C. & Norkko, A. Functional role of large organisms in intertidal communities: Community effects and ecosystem function. Ecosystems 9, 1029–1040 (2006).Article 

Google Scholar 
Frid, C. L. J., Harwood, K. G., Hall, S. J. & Hall, J. A. Long-term changes in the benthic communities on North Sea fishing grounds. in ICES Journal of Marine Science vol. 57 1303–1309 (Academic Press, 2000).Bradshaw, C., Veale, L. O. & Brand, A. R. The role of scallop-dredge disturbance in long-term changes in Irish Sea benthic communities: A re-analysis of an historical dataset. J. Sea Res. 47, 161–184 (2002).ADS 
Article 

Google Scholar 
Cañedo-Argüelles, M. et al. Can salinity trigger cascade effects on streams? A mesocosm approach. Sci. Total Environ. 540, 3–10 (2016).ADS 
PubMed 
Article 
CAS 

Google Scholar 
Herbst, D. B. Salinity controls on trophic interactions among invertebrates and algae of solar evaporation ponds in the Mojave Desert and relation to shorebird foraging and selenium risk. Wetlands 26, 475–485 (2006).Article 

Google Scholar 
Merritt, R. W. et al. Development and application of a macroinvertebrate functional-group approach in the bioassessment of remnant river oxbows in southwest Florida. Am. Benthol. Soc. 21, 550 (2002).Article 

Google Scholar 
de Roos, A. M., Persson, L. & McCauley, E. The influence of size-dependent life-history traits on the structure and dynamics of populations and communities. Ecol. Lett. 6, 473–487 (2003).Article 

Google Scholar 
Reizopoulou, S. & Nicolaidou, A. Index of size distribution (ISD): A method of quality assessment for coastal lagoons. Hydrobiologia 577, 141–149 (2007).Article 

Google Scholar 
Basset, A., Pinna, M., Sabetta, L., Barbone, E. & Galuppo, N. Hierarchical scaling of biodiversity in lagoon ecosystems. Trans. Waters Bull. 2, 75–86 (2008).
Google Scholar 
Basset, A. et al. A benthic macroinvertebrate size spectra index for implementing the Water Framework Directive in coastal lagoons in Mediterranean and Black Sea ecoregions. Ecol. Ind. 12, 72–83 (2012).Article 

Google Scholar 
Robson, B. J., Barmuta, L. A. & Fairweather, P. G. Methodological and conceptual issues in the search for a relationship between animal body-size distributions and benthic habitat architecture. Mar. Freshw. Res. 56, 1–11 (2005).Article 

Google Scholar 
Parry, D. M., Kendall, M. A., Rowden, A. A. & Widdicombe, S. Species body size distribution patterns of marine benthic macrofauna assemblages from contrasting sediment types. J. Mar. Biol. Assoc. U.K. 79, 793–801 (1999).Article 

Google Scholar 
Netto, S. A., Domingos, A. M. & Kurtz, M. N. Effects of artificial breaching of a temporarily open/closed estuary on benthic macroinvertebrates (Camacho Lagoon, Southern Brazil). Estuaries Coasts 35, 1069–1081 (2012).CAS 
Article 

Google Scholar 
Folke, C. et al. Regime shifts, resilience, and biodiversity in ecosystem management. Annu. Rev. Ecol. Evol. Syst. 35, 557–581 (2004).Article 

Google Scholar 
Montefalcone, M., Parravicini, V. & Bianchi, C. N. Quantification of Coastal Ecosystem Resilience. in Treatise on Estuarine and Coastal Science 49–70 (Elsevier, 2011). https://doi.org/10.1016/B978-0-12-374711-2.01003-2.Sasaki, T., Furukawa, T., Iwasaki, Y., Seto, M. & Mori, A. S. Perspectives for ecosystem management based on ecosystem resilience and ecological thresholds against multiple and stochastic disturbances. Ecol. Ind. 57, 395–408 (2015).Article 

Google Scholar 
Smee, D. L., Reustle, J. W., Belgrad, B. A. & Pettis, E. L. Storms promote ecosystem resilience by alleviating fishing. Curr. Biol. 30, R869–R870 (2020).CAS 
PubMed 
Article 

Google Scholar 
Gilby, B. L. et al. Umbrellas can work under water: Using threatened species as indicator and management surrogates can improve coastal conservation. Estuar. Coast. Shelf Sci. 199, 132–140 (2017).ADS 
Article 

Google Scholar 
Henderson, C. J. et al. Landscape transformation alters functional diversity in coastal seascapes. Ecography 43, 138–148 (2020).Article 

Google Scholar 
Yeager, L. A., Geyer, J. K. & Fodrie, F. J. Trait sensitivities to seagrass fragmentation across spatial scales shape benthic community structure. J. Anim. Ecol. 88, 1743–1754 (2019).PubMed 
Article 

Google Scholar 
Darr, A., Gogina, M. & Zettler, M. L. Functional changes in benthic communities along a salinity gradient- a western Baltic case study. J. Sea Res. 85, 315–324 (2014).ADS 
Article 

Google Scholar 
Statzner, B., Bady, P., Dolédec, S. & Schöll, F. Invertebrate traits for the biomonitoring of large European rivers: An initial assessment of trait patterns in least impacted river reaches. Freshw. Biol. 50, 2136–2161 (2005).Article 

Google Scholar  More

Thomas, N. & Nigam, S. Twentieth-century climate change over Africa: seasonal hydroclimate trends and Sahara desert expansion. J. Clim. 31, 3349–3370 (2018).Article 

Google Scholar 
Maley J. in The Sahara and the Nile (eds Martin A. J. Williams and Hugues Faure) 63–86 (Balkema, 1980).deMenocal, P. B. Plio-Pleistocene African climate. Science 270, 53–59 (1995).Article 

Google Scholar 
Trauth, M. H., Larrasoaña, J. C. & Mudelsee, M. Trends, rhythms and events in Plio-Pleistocene African climate. Quat. Sci. Rev. 28, 399–411 (2009).Article 

Google Scholar 
Muhs, D. R. et al. The antiquity of the Sahara desert: new evidence from the mineralogy and geochemistry of Pliocene paleosols on the Canary Islands, Spain. Palaeogeogr. Palaeoclimatol. Palaeoecol. 533, 109245 (2019).Article 

Google Scholar 
Schuster, M. et al. The age of the Sahara desert. Science 311, 821 (2006).Article 

Google Scholar 
Zhang, Z. et al. Aridification of the Sahara desert caused by Tethys Sea shrinkage during the late Miocene. Nature 513, 401–404 (2014).Article 

Google Scholar 
Kroepelin, S. & Swezey, C. S. Revisiting the age of the Sahara desert. Science 312, 1138–1139 (2006).Article 

Google Scholar 
McQuarrie, N. & van Hinsbergen, D. J. J. Retrodeforming the Arabia–Eurasia collision zone: age of collision versus magnitude of continental subduction. Geology 41, 315–318 (2013).Article 

Google Scholar 
Allen, M. B. & Armstrong, H. A. Arabia–Eurasia collision and the forcing of mid-Cenozoic global cooling. Palaeogeogr. Palaeoclimatol. Palaeoecol. 265, 52–58 (2008).Article 

Google Scholar 
Tiedemann, R., Sarnthein, M. & Shackleton, N. J. Astronomic timescale for the Pliocene Atlantic δ18O and dust flux records of Ocean Drilling Program Site 659. Paleoceanography 9, 619–638 (1994).Article 

Google Scholar 
Tjallingii, R. et al. Coherent high- and low-latitude control of the northwest African hydrological balance. Nat. Geosci. 1, 670–675 (2008).Article 

Google Scholar 
Skonieczny, C. et al. African humid periods triggered the reactivation of a large river system in western Sahara. Nat. Commun. 6, 8751 (2015).Article 

Google Scholar 
Ruddiman. W. F. et al. (eds) Proceedings of the Ocean Drilling Program: Scientific Results Vol. 108 (ODP, 1989).Skonieczny, C. et al. Monsoon-driven Saharan dust variability over the past 240,000 years. Sci. Adv. 5, eaav1887 (2019).Article 

Google Scholar 
McGee, D., deMenocal, P. B., Winckler, G., Stuut, J. B. W. & Bradtmiller, L. I. The magnitude, timing and abruptness of changes in North African dust deposition over the last 20,000 yr. Earth Planet. Sci. Lett. 371–372, 163–176 (2013).Article 

Google Scholar 
Mulitza, S. et al. Increase in African dust flux at the onset of commercial agriculture in the Sahel region. Nature 466, 226–228 (2010).Article 

Google Scholar 
Drake, N. A., Blench, R. M., Armitage, S. J., Bristow, C. S. & White, K. H. Ancient watercourses and biogeography of the Sahara explain the peopling of the desert. Proc. Natl Acad. Sci. USA 108, 458–462 (2011).Article 

Google Scholar 
Larrasoaña, J. C., Roberts, A. P. & Rohling, E. J. Dynamics of green Sahara periods and their role in hominin evolution. PLoS ONE 8, e76514 (2013).Article 

Google Scholar 
Tierney, J. E., Pausata, F. S. R. & deMenocal, P. B. Rainfall regimes of the green Sahara. Sci. Adv. 3, e1601503 (2017).Article 

Google Scholar 
Mori, F. The earliest Saharan rock-engravings. Antiquity 48, 87–92 (1974).Article 

Google Scholar 
McGee, D., Broecker, W. S. & Winckler, G. Gustiness: the driver of glacial dustiness? Quat. Sci. Rev. 29, 2340–2350 (2010).Article 

Google Scholar 
Herbert, T. D. et al. Late Miocene global cooling and the rise of modern ecosystems. Nat. Geosci. 9, 843–847 (2016).Article 

Google Scholar 
Abell, J. T., Winckler, G., Anderson, R. F. & Herbert, T. D. Poleward and weakened westerlies during Pliocene warmth. Nature 589, 70–75 (2021).Article 

Google Scholar 
Burls, N. J. & Fedorov, A. V. Wetter subtropics in a warmer world: contrasting past and future hydrological cycles. Proc. Natl Acad. Sci. USA 114, 12888–12893 (2017).Article 

Google Scholar 
Moussa, A. et al. Lake Chad sedimentation and environments during the late Miocene and Pliocene: new evidence from mineralogy and chemistry of the Bol core sediments. J. Afr. Earth. Sci. 118, 192–204 (2016).Article 

Google Scholar 
Washington, R., Todd, M., Middleton, N. J. & Goudie, A. S. Dust‐storm source areas determined by the total ozone monitoring spectrometer and surface observations. Ann. Assoc. Am. Geographers 93, 297–313 (2003).Article 

Google Scholar 
Schepanski, K., Tegen, I. & Macke, A. Comparison of satellite based observations of Saharan dust source areas. Remote Sens. Environ. 123, 90–97 (2012).Article 

Google Scholar 
Westerhold, T. et al. An astronomically dated record of Earth’s climate and its predictability over the last 66 million years. Science 369, 1383–1387 (2020).Article 

Google Scholar 
Sarnthein, M. et al. in Geology of the Northwest African Continental Margin (eds von Rad, U. et al.) 545–604 (Springer, 1982).Jewell, A. M. et al. Three North African dust source areas and their geochemical fingerprint. Earth Planet. Sci. Lett. 554, 116645 (2021).Article 

Google Scholar 
Cerling, T. E. et al. Global vegetation change through the Miocene/Pliocene boundary. Nature 389, 153–158 (1997).Article 

Google Scholar 
Feakins, S. J. et al. Northeast African vegetation change over 12 m.y. Geology 41, 295–298 (2013).Article 

Google Scholar 
Pagani, M., Freeman, K. H. & Arthur, M. A. Late Miocene atmospheric CO2 concentrations and the expansion of C4 grasses. Science 285, 876–879 (1999).Article 

Google Scholar 
Beerling, D. J. & Osborne, C. P. The origin of the savanna biome. Glob. Change Biol. 12, 2023–2031 (2006).Article 

Google Scholar 
Polissar, P. J., Rose, C., Uno, K. T., Phelps, S. R. & deMenocal, P. Synchronous rise of African C4 ecosystems 10 million years ago in the absence of aridification. Nat. Geosci. 12, 657–660 (2019).Article 

Google Scholar 
Hoetzel, S., Dupont, L., Schefuß, E., Rommerskirchen, F. & Wefer, G. The role of fire in Miocene to Pliocene C4 grassland and ecosystem evolution. Nat. Geosci. 6, 1027–1030 (2013).Article 

Google Scholar 
Naafs, B. D. A. et al. Strengthening of North American dust sources during the late Pliocene (2.7 Ma). Earth Planet. Sci. Lett. 317–318, 8–19 (2012).Article 

Google Scholar 
Kuechler, R. R., Dupont, L. M. & Schefuß, E. Hybrid insolation forcing of Pliocene monsoon dynamics in West Africa. Clim. Past 14, 73–84 (2018).Article 

Google Scholar 
Kuechler, R. R., Schefuß, E., Beckmann, B., Dupont, L. & Wefer, G. NW African hydrology and vegetation during the last glacial cycle reflected in plant-wax-specific hydrogen and carbon isotopes. Quat. Sci. Rev. 82, 56–67 (2013).Article 

Google Scholar 
Cerling, T. E. et al. Woody cover and hominin environments in the past 6 million years. Nature 476, 51–56 (2011).Article 

Google Scholar 
Faith, J. T., Rowan, J., Du, A. & Koch, P. L. Plio-Pleistocene decline of African megaherbivores: no evidence for ancient hominin impacts. Science 362, 938–941 (2018).Article 

Google Scholar 
Potts, R. Hominin evolution in settings of strong environmental variability. Quat. Sci. Rev. 73, 1–13 (2013).Article 

Google Scholar 
Maslin, M. A. et al. East African climate pulses and early human evolution. Quat. Sci. Rev. 101, 1–17 (2014).Article 

Google Scholar 
Zollikofer, C. P. E. et al. Virtual cranial reconstruction of Sahelanthropus tchadensis. Nature 434, 755 (2005).Article 

Google Scholar 
DiMaggio, E. N. et al. Late Pliocene fossiliferous sedimentary record and the environmental context of early Homo from Afar, Ethiopia. Science 347, 1355–1359 (2015).Article 

Google Scholar 
Bobe, R. & Wood, B. Estimating origination times from the early hominin fossil record. Evol. Anthropol. 31, 92–102 (2022).Uno, K. T., Polissar, P. J., Jackson, K. E. & deMenocal, P. B. Neogene biomarker record of vegetation change in eastern Africa. Proc. Natl Acad. Sci. USA 113, 201521267 (2016).Article 

Google Scholar 
Laskar, J. et al. A long-term numerical solution for the insolation quantities of the Earth. Astron. Astrophys. 428, 261–285 (2004).Article 

Google Scholar 
Kumar, A. et al. Seasonal radiogenic isotopic variability of the African dust outflow to the tropical Atlantic Ocean and across to the Caribbean. Earth Planet. Sci. Lett. 487, 94–105 (2018).Article 

Google Scholar 
Gama, C. et al. Seasonal patterns of Saharan dust over Cape Verde—a combined approach using observations and modelling. Tellus B 67, 24410 (2015).Article 

Google Scholar 
Patey, M. D., Achterberg, E. P., Rijkenberg, M. J. & Pearce, R. Aerosol time-series measurements over the tropical Northeast Atlantic Ocean: dust sources, elemental composition and mineralogy. Mar. Chem. 174, 103–119 (2015).Article 

Google Scholar 
Skonieczny, C. et al. A three-year time series of mineral dust deposits on the West African margin: sedimentological and geochemical signatures and implications for interpretation of marine paleo-dust records. Earth Planet. Sci. Lett. 364, 145–156 (2013).Article 

Google Scholar 
Ratmeyer, V., Fischer, G. & Wefer, G. Lithogenic particle fluxes and grain size distributions in the deep ocean off northwest Africa: mplications for seasonal changes of aeolian dust input and downward transport. Deep Sea Res. 1 46, 1289–1337 (1999).Article 

Google Scholar 
Bory, A. et al. Atmospheric and oceanic dust fluxes in the northeastern tropical Atlantic Ocean: how close a coupling? Ann. Geophys. 20, 2067–2076 (2002).Article 

Google Scholar 
Chiapello, I. et al. Origins of African dust transported over the northeastern tropical Atlantic. J. Geophys. Res. Atmos. 102, 13701–13709 (1997).Article 

Google Scholar 
Stuut, J.-B. et al. Provenance of present-day eolian dust collected off NW Africa. J. Geophys. Res. Atmos. 110, D04202 (2005).Article 

Google Scholar 
Schepanski, K., Tegen, I. & Macke, A. Saharan dust transport and deposition towards the tropical northern Atlantic. Atmos. Chem. Phys. 9, 1173–1189 (2009).Article 

Google Scholar 
Caquineau, S., Gaudichet, A., Gomes, L. & Legrand, M. Mineralogy of Saharan dust transported over northwestern tropical Atlantic Ocean in relation to source regions. J. Geophys. Res. Atmos. 107, 4251 (2002).Article 

Google Scholar 
Formenti, P. et al. Regional variability of the composition of mineral dust from western Africa: results from the AMMA SOP0/DABEX and DODO field campaigns. J. Geophys. Res. Atmos. 113, D00C13 (2008).Article 

Google Scholar 
Friese, C. A., van Hateren, J. A., Vogt, C., Fischer, G. & Stuut, J.-B. W. Seasonal provenance changes in present-day Saharan dust collected in and off Mauritania. Atmos. Chem. Phys. 17, 10163 (2017).Article 

Google Scholar 
McConnell, C. L. et al. Seasonal variations of the physical and optical characteristics of Saharan dust: results from the Dust Outflow and Deposition to the Ocean (DODO) experiment. J. Geophys. Res. Atmos. 113, D14S05 (2008).Article 

Google Scholar 
Salvador, P. et al. Composition and origin of PM10 in Cape Verde: characterization of long-range transport episodes. Atmos. Environ. 127, 326–339 (2016).Article 

Google Scholar 
Skonieczny, C. et al. The 7-13 March 2006 major Saharan outbreak: multiproxy characterization of mineral dust deposited on the West African margin. J. Geophys. Res. Atmos. 116, D18210 (2011).Article 

Google Scholar 
Zhao, W., Balsam, W., Williams, E., Long, X. & Ji, J. Sr–Nd–Hf isotopic fingerprinting of transatlantic dust derived from North Africa. Earth Planet. Sci. Lett. 486, 23–31 (2018).Article 

Google Scholar 
Holz, C., Stuut, J.-B. W. & Henrich, R. Terrigenous sedimentation processes along the continental margin off NW Africa: implications from grain-size analysis of seabed sediments. Sedimentology 51, 1145–1154 (2004).Article 

Google Scholar 
Matthewson, A. P., Shimmield, G. B., Kroon, D. & Fallick, A. E. A 300 kyr high‐resolution aridity record of the North African continent. Paleoceanography 10, 677–692 (1995).Article 

Google Scholar 
Wilkens, R. H. et al. Revisiting Ceara Rise, equatorial Atlantic Ocean: isotope stratigraphy ODP leg 154 from 0 to 5 Ma. Clim. Past 13, 779–793 (2017).Article 

Google Scholar 
Manivit, H. in Proceedings of the Ocean Drilling Program: Scientific Results Vol. 108 (eds Ruddiman, W. et al.) 35–69 (ODP, 1989).Raffi, I. et al. A review of calcareous nannofossil astrobiochronology encompassing the past 25 million years. Quat. Sci. Rev. 25, 3113–3137 (2006).Article 

Google Scholar 
Ogg, J. G. in The Geologic Time Scale (eds Gradstein, F. M. et al.) 85–113 (Elsevier, 2012).Wade, B. S., Pearson, P. N., Berggren, W. A. & Pälike, H. Review and revision of Cenozoic tropical planktonic foraminiferal biostratigraphy and calibration to the geomagnetic polarity and astronomical time scale. Earth Sci. Rev. 104, 111–142 (2011).Article 

Google Scholar 
Lisiecki, L. E. & Raymo, M. E. A Pliocene–Pleistocene stack of 57 globally distributed benthic δ18O records. Paleoceanography 20, PA1003 (2005).
Google Scholar 
Grinsted, A., Moore, J. C. & Jevrejeva, S. Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Process. Geophys. 11, 561–566 (2004).Article 

Google Scholar 
Schulz, M. & Mudelsee, M. REDFIT: estimating red-noise spectra directly from unevenly spaced paleoclimatic time series. Comput. Geosci. 28, 421–426 (2002).Article 

Google Scholar 
Weltje, G. J. & Tjallingii, R. Calibration of XRF core scanners for quantitative geochemical logging of sediment cores: theory and application. Earth Planet. Sci. Lett. 274, 423–438 (2008).Article 

Google Scholar 
Weltje, G. J. et al. in Micro-XRF Studies of Sediment Cores (eds Croudace, I. W. & Rothwell, R. G.) 507–534 (Springer, 2015).Bloemsma, M. R. Development of a Modelling Framework for Core Data Integration using XRF Scanning (Delft University of Technology, 2015).Gac, J.-Y. & Kane, A. Le fleuve Sénégal: I. Bilan hydrologique et flux continentaux de matières particulaires à l’embouchure. Sci. Geol. Mem. 31, 99–130 (1986).
Google Scholar 
Scheuvens, D., Schütz, L., Kandler, K., Ebert, M. & Weinbruch, S. Bulk composition of northern African dust and its source sediments—a compilation. Earth Sci. Rev. 116, 170–194 (2013).Article 

Google Scholar 
Orange, D. & Gac, J.-Y. Bilan géochimique des apports atmosphériques en domaines sahélien et soudano-guinéen d’Afrique de l’Ouest (bassins supérieurs du Sénégal et de la Gambie). Géodynamique 5, 51–65 (1990).
Google Scholar 
Orange, D., Gac, J.-Y. & Diallo, M. I. Geochemical assessment of atmospheric deposition including Harmattan dust in continental West Africa. In Tracers in Hydrology: Proc. Yokohama Symposium (ed. Peters, N. E., Hoehn, E., Leibundgut, C., Tase, N. & Walling, D.E.) 303–312 (IAHS, 1993).Guieu, C. & Thomas, A. J. in The Impact of Desert Dust Across the Mediterranean (eds Guersoni, S. & Chester, R.) 207–216 (Springer, 1996).Criado, C. & Dorta, P. An unusual ‘blood rain’ over the Canary Islands (Spain). The storm of January 1999. J. Arid. Environ. 55, 765–783 (2003).Article 

Google Scholar 
Viana, M., Querol, X., Alastuey, A., Cuevas, E. & Rodrı́guez, S. Influence of African dust on the levels of atmospheric particulates in the Canary Islands air quality network. Atmos. Environ. 36, 5861–5875 (2002).Article 

Google Scholar 
Formenti, P., Elbert, W., Maenhaut, W., Haywood, J. & Andreae, M. O. Chemical composition of mineral dust aerosol during the Saharan Dust Experiment (SHADE) airborne campaign in the Cape Verde region, September 2000. J. Geophys. Res. Atmos. 108, 8576 (2003).Article 

Google Scholar 
Linke, C. et al. Optical properties and mineralogical composition of different Saharan mineral dust samples: a laboratory study. Atmos. Chem. Phys. 6, 3315–3323 (2006).Article 

Google Scholar 
Khiri, F., Ezaidi, A. & Kabbachi, K. Dust deposits in Souss–Massa basin, south-west of Morocco: granulometrical, mineralogical and geochemical characterisation. J. Afr. Earth. Sci. 39, 459–464 (2004).Article 

Google Scholar 
Moreno, T. et al. Geochemical variations in aeolian mineral particles from the Sahara–Sahel Dust Corridor. Chemosphere 65, 261–270 (2006).Article 

Google Scholar 
Mounkaila, M. Spectral and Mineralogical Properties of Potential Dust Sources on a Transect from the Bodélé Depresseion (Central Sahara) to the Lake Chad in the Sahel (Univ. Hohenheim, 2006).Herrmann, L., Jahn, R. & Maurer, T. Mineral dust around the Sahara—from source to sink. A review with emphasis on contributions of the German soil science community in the last twenty years. J. Plant Nutr. Soil Sci. 173, 811–821 (2010).Article 

Google Scholar 
Tiedemann, R. Acht Millionen Jahre Klimageschichte von Nordwest Afrika und Paläo-Ozeanographie des angrenzenden Atlantiks: Hochauflösende Zeitreihen von ODP-Sites 658–661 (Christian-Albrechts-Universität, 1991).Cohen, A. S., O’Nions, R. K., Siegenthaler, R. & Griffin, W. L. Chronology of the pressure–temperature history recorded by a granulite terrain. Contrib. Mineral. Petrol. 98, 303–311 (1988).Article 

Google Scholar 
Pin, C. & Zalduegui, J. S. Sequential separation of light rare-earth elements, thorium and uranium by miniaturized extraction chromatography: application to isotopic analyses of silicate rocks. Anal. Chim. Acta 339, 79–89 (1997).Article 

Google Scholar 
Vance, D. & Thirlwell, M. An assessment of mass discrimination in MC-ICPMS using Nd isotopes. Chem. Geol. 185, 227–240 (2002).Article 

Google Scholar 
Tanaka, T. et al. JNdi-1: a neodymium isotopic reference in consistency with LaJolla neodymium. Chem. Geol. 168, 279–281 (2000).Article 

Google Scholar 
Jacobsen, S. B. & Wasserburg, G. J. Sm–Nd isotopic evolution of chondrites. Earth Planet. Sci. Lett. 50, 139–155 (1980).Article 

Google Scholar 
Dietze, E. et al. An end-member algorithm for deciphering modern detrital processes from lake sediments of Lake Donggi Cona, NE Tibetan Plateau, China. Sediment. Geol. 243–244, 169–180 (2011).
Google Scholar 
Wood, S. N. Generalized Additive Models: An iIntroduction with R (CRC Press, 2017).Hammer, Ø., Harper, D. A. T. & Ryan, P. D. PAST: paleontological statistics software package for education and data analysis. Palaeontol. Electron. 4, 4 (2001).
Google Scholar 
Castillo, S. et al. Trace element variation in size-fractionated African desert dusts. J. Arid. Environ. 72, 1034–1045 (2008).Article 

Google Scholar  More

Basic information of intervieweesResults of the descriptive analysis summarized in Table 2 show that more than half of the respondents were males (69%) and were on average 41.3 years old while more than 32 years of farming experience. The study area is comprised of multiple ethnic groups (Han, Tibetan, Yugur, Mongolian, Hui, etc.). In most cases, the main livelihood activity of the Ethnic Minorities (Tibetan, Yugur, Mongolian, Hui, etc.) is livestock, while Han people main livelihood activity is farming. The majority of respondents (64%) were minority nationality. The vast majority of the agro-pastoralists (86%) have a primary school education or above, even though only 1% of them have Undergraduate education or Above. The results also reveal that 92% of respondents have access to weather information. The average cultivated land Per household is 10.23 Mu and Grassland is 156.21 Mu, respectively. The average per household income is RMB78000, and agricultural income is RMB52000.Table 2 Descriptive statistics of agro-pastoralist characteristics.Full size tableDue to their long-term farming experience, the agro-pastoralists were expected to have a high-level of understanding of local climate knowledge. Also contributing to this could be the information they receive about climate change and for some, the associated training through agro-pastoralists’ associations. Therefore, they also have a propensity to adapt to adverse conditions resulting from climate change impacts. In addition, the high-level of farming experience, the cultivated-land size, grassland size, Credit loan, Insurance, Village cadres all have a positive impact on the level of agro-pastoralists’ adaptation to new climate scenarios.However, the education level and cadres experience may be the major limiting factors for adopting specific long-term adaptation strategies. Ethnicity and gender are also expected to be key factors influencing awareness and adaptation to climate change. There are differences in relative perception intensity between Ethnic Minority and Han because of their cultural ecology (the main livelihood activity of minorities nationality is livestock, while Han main livelihood activity is farming.). In terms of gender, women in rural areas are less mobile and have less access to information and rights. They are also heavily involved in domestic work. However, men may have easier access to information (socializing, going out to work, etc.) Therefore, male headed households are expected to be more likely to adapt to the impact of climate change.Climate change trend in the study areaFigure 2 shows the trend of annual precipitation, annual rainfall and annual snow at different meteorological stations in the study area. As shown in the Fig. 2, precipitation, rainfall and snow show an increasing trend, but the increase range of snow (0.0325–0.375/a) is significantly lower than that of precipitation (1.22–3.1/a) and rainfall (1.04–2.81/a). Similarly, through the inspection, it is found that the multi-collinearity among precipitation, rainfall and snow at each meteorological station is obvious (most R2  > 0.5, and p  More

Middleton, N., Stringer, L., Goudie, A., & Thomas, D. The Forgotten Billion: MDG Achievement in the Drylands (UNDP United Nations Convention to Combat Desertification, 2011).Soong, J. L., Phillips, C. L., Ledna, C., Koven, C. D. & Torn, M. S. CMIP5 models predict rapid and deep soil warming over the 21st century. J. Geophys. Res. 125, e2019JG005266 (2020).
Google Scholar 
Huang, J., Yu, H., Guan, X., Wang, G. & Guo, R. Accelerated dryland expansion under climate change. Nat. Clim. Change 6, 166–171 (2016).Article 

Google Scholar 
Williams, A. P. et al. Large contribution from anthropogenic warming to an emerging North American megadrought. Science 368, 314–318 (2020).CAS 
PubMed 
Article 

Google Scholar 
Schlaepfer, D. et al. Climate change reduces extent of temperate drylands and intensifies drought in deep soils. Nat. Commun. 8, 14196 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Jiang, H. in The End of Desertification? (eds Behnke, R. & Mortimore, M.) 513–536 (Springer, 2016).Gadzama, N. M. Attenuation of the effects of desertification through sustainable development of Great Green Wall in the Sahel of Africa. World J. Sci. Technol. Sustain. Dev. 14, 279–289 (2017).Article 

Google Scholar 
United Nations Decade on Restoration (accessed January 2021); https://www.decadeonrestoration.org/Ellison, D. et al. Trees, forests and water: cool insights for a hot world. Glob. Environ. Change 43, 51–61 (2017).Article 

Google Scholar 
Feng, X. et al. Revegetation in China’s Loess Plateau is approaching sustainable water resource limits. Nat. Clim. Change 6, 1019–1022 (2016).Article 

Google Scholar 
Megdal, S. B. Transboundary groundwater resources: sustainable management and conflict resolution. Groundwater 55, 701–702 (2017).CAS 
Article 

Google Scholar 
Jarvis, W.T. in Advances in Groundwater Governance (eds Villholth, K. G. et al.) 177–192 (CRC Press, 2017).Bastin, J.-F. et al. The extent of forest in dryland biomes. Science 356, 635–638 (2017).CAS 
PubMed 
Article 

Google Scholar 
Brandt, M. et al. An unexpectedly large count of trees in the West African Sahara and Sahel. Nature 587, 78–82 (2020).PubMed 
Article 
CAS 

Google Scholar 
Mbow, C. The Great Green Wall in the Sahel. Oxf. Res. Encycl. Clim. Sci. https://doi.org/10.1093/acrefore/9780190228620.013.559 (2017).Petrie, M. D. et al. Climate change may restrict dryland forest regeneration in the 21st century. Ecology 98, 1548–1559 (2017).CAS 
PubMed 
Article 

Google Scholar 
Liu, S., Jiang, D. & Lang, X. Mid-Holocene drylands: a multi-model analysis using Paleoclimate Modelling Intercomparison Project Phase III (PMIP3) simulations. Holocene 29, 1425–1438 (2019).Article 

Google Scholar 
Delgado-Baquerizo, M. et al. Palaeoclimate explains a unique proportion of the global variation in soil bacterial communities. Nat. Ecol. Evol. 1, 1339–1347 (2017).PubMed 
Article 

Google Scholar 
Delgado-Baquerizo, M. et al. Effects of climate legacies on above- and belowground community assembly. Glob. Change Biol. 24, 4330–4339 (2018).Article 

Google Scholar 
Hoelzmann, P. et al. Mid-Holocene land-surface conditions in northern Africa and the Arabian Peninsula: a data set for the analysis of biogeophysical feedbacks in the climate system. Glob. Biogeochem. Cycles 12, 35–51 (1998).CAS 
Article 

Google Scholar 
Fan, Y., Li, H. & Miguez-Macho, G. Global patterns of groundwater table depth. Science 339, 940–943 (2013).CAS 
PubMed 
Article 

Google Scholar 
Smettem, K. R. J., Waring, R. H., Callow, J. N., Wilson, M. & Mu, Q. Satellite-derived estimates of forest leaf area index in southwest Western Australia are not tightly coupled to interannual variations in rainfall: implications for groundwater decline in a drying climate. Glob. Change Biol. 19, 2401–2412 (2013).Article 

Google Scholar 
Fick, S. E. & Hijmans, R. J. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017).Article 

Google Scholar 
Schmidt, R. et al. GRACE observations of changes in continental water storage. Glob. Planet. Change 50, 112–126 (2006).Article 

Google Scholar 
Hengl, T. et al. SoilGrids250m: global gridded soil information based on machine learning. PLoS ONE 12, e0169748 (2017).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Friedl, M. A. et al. ISLSCP II MODIS (Collection 4) IGBP Land Cover, 2000–2001 (ORNL DAAC, Oak Ridge, TN, USA, 2010); https://doi.org/10.3334/ORNLDAAC/968Chen, M. et al. Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios. Sci. Data 7, 320 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
National Centre for Earth Observation & Los, S.O. Global Vegetation Height Frequency Distributions from the ICESAT GLAS instrument produced as part of the National Centre for Earth Observation (NCEO) (NERC Earth Observation Data Centre, accessed 10 December 2020); http://catalogue.ceda.ac.uk/uuid/85e7d70a74244c73b71446940e05cde6Bastin, J.-F. et al. The global tree restoration potential. Science 365, 76–79 (2019).CAS 
PubMed 
Article 

Google Scholar 
Cherlet, M. et al. World Atlas of Desertification: Rethinking Land Degradation and Sustainable Land Management (Publications Office of the European Union, 2018).Ganopolski, A., Kubatzki, C., Claussen, M., Brovkin, V. & Petoukhov, V. The influence of vegetation-atmosphere-ocean interaction on climate during the mid-holocene. Science 280, 1916–1919 (1998).CAS 
PubMed 
Article 

Google Scholar 
Hansen, M. C. et al. High-resolution global maps of 21st-century forest cover change. Science 342, 850–853 (2013).CAS 
PubMed 
Article 

Google Scholar 
Scheffer, M. Tipping Points (Princeton Univ. Press, 2009).Berdugo, M. et al. Global ecosystem thresholds driven by aridity. Science 367, 787–790 (2020).CAS 
PubMed 
Article 

Google Scholar 
Runyan, C. W. & D’Odorico, P. Global Deforestation (Cambridge Univ. Press, 2016).Herzschuh, U. et al. Global taxonomically harmonized pollen data set for Late Quaternary with revised chronologies (LegacyPollen 1.0). PANGAEA https://doi.org/10.1594/PANGAEA.929773 (2021).Staal, A. et al. Hysteresis of tropical forests in the 21st century. Nat. Commun. 11, 4978 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Belsky, A. J. et al. The effects of trees on their physical, chemical and biological environments in a semi-arid savanna in Kenya. J. Appl. Ecol. 26, 1005–1024 (1989).Article 

Google Scholar 
Li, C. et al. Drivers and impacts of changes in China’s drylands. Nat. Rev. Earth Environ. 2, 858–873 (2021).Article 

Google Scholar 
Tatebe, H. et al. Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6. Geosci. Model Dev. 12, 2727–2765 (2019).CAS 
Article 

Google Scholar 
Trees, Forests and Land Use in Drylands: the First Global Assessment. Full Report (FAO, 2019).Diallo, H. A. in The Future of Drylands (eds Lee, C. & Schaaf, T.) 13–16 (Springer, 2008).A Spatial Analysis Approach to the Global Delineation of Dryland Areas of Relevance to the CBD Programme of Work on Dry and Subhumid Lands (UNEP-WCMC, 2014).Abatzoglou, J. et al. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Sci. Data 5, 170191 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
Tachikawa, T., Hato, M., Kaku, M. & Iwasaki, A. Characteristics of ASTER GDEM version 2. IEEE Int. Geosci. Remote Sens. Symp. Proc. https://doi.org/10.1109/igarss.2011.6050017 (2011).Alibakhshi, S., Crowther, T. W. & Naimi, B. Land surface black-sky albedo at a fixed solar zenith angle and its relation to forest structure during peak growing season based on remote sensing data. Data Brief. 31, 105720 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
Hamazaki, T. Advanced land observation satellite (ALOS). 5 Outline of ALOS satellite system. J. Jpn Soc. Photogramm. Remote Sens. 38, 25–26 (1999).
Google Scholar 
Mu, Q., Zhao, M., & Running, S. W. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens. Environ. 115, 1781–1800 (2011).https://doi.org/10.1016/j.rse.2011.02.019Zlotnicki, V., Bettadpur, S., Landerer, F. W. & Watkins, M. M. in Encyclopedia of Sustainability Science and Technology (ed. Meyers, R. A.) 4563–4584 (Springer, 2012).https://doi.org/10.1007/978-1-4419-0851-3_745Schepaschenko, D. et al. Comment on ‘The extent of forest in dryland biomes’. Science 358, 6362 (2017).Article 
CAS 

Google Scholar 
LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015).CAS 
PubMed 
Article 

Google Scholar 
Cheng, G., Han, J. & Lu, X. Remote sensing image scene classification: benchmark and state of the art. Proc. IEEE 105, 1865–1883 (2017).Article 

Google Scholar 
Xia, X., Xu, C. & Nan, B. Inception-v3 for flower classification. In Proc. 2nd International Conference on Image, Vision and Computing (ICIVC) 783–787 (IEEE, 2017).Fei-Fei, L., Deng, J. & Li, K. ImageNet: constructing a large-scale image database. J. Vis. 9, 1037 (2010).Article 

Google Scholar 
Guirado, E. et al. Tree cover estimation in global drylands from space using deep learning. Remote Sens. 12, 343 (2020).Article 

Google Scholar 
Legendre, P., Borcard, D. & Roberts, D. W. Variation partitioning involving orthogonal spatial eigenfunction submodels. Ecology 93, 1234–1240 (2012).PubMed 
Article 

Google Scholar 
Dixon, P. VEGAN, a package of R functions for community ecology. J. Veg. Sci. 14, 927–930 (2003).Article 

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

Google Scholar 
Lahouar, A. & Slama, J. B. H. Day-ahead load forecast using random forest and expert input selection. Energy Convers. Manage. 103, 1040–1051 (2015).Article 

Google Scholar 
Kohavi, R. A study of cross-validation and bootstrap for accuracy estimation and model selection. IJCAI 14, 1137–1145 (1995).
Google Scholar 
Piñeiro, G., Perelman, S., Guerschman, J. P. & Paruelo, J. M. How to evaluate models: observed vs. predicted or predicted vs. observed? Ecol. Model. 216, 316–322 (2008).Article 

Google Scholar 
Friedl, M. & Sulla-Menashe, D. MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006 (NASA EOSDIS Land Processes DAAC, 2019); https://doi.org/10.5067/MODIS/MCD12Q1.006The CMIP6 landscape. Nat. Clim. Change 9, 727 (2019).Meinshausen, M. et al. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Clim. Change 109.1, 213–241 (2011).Article 
CAS 

Google Scholar 
Cao, X. et al. A taxonomically harmonized and temporally standardized fossil pollen dataset from Siberia covering the last 40 kyr. Earth Syst. Sci. Data 12, 119–135 (2020).Article 

Google Scholar 
Cao, X. et al. A late Quaternary pollen dataset from eastern continental Asia for vegetation and climate reconstructions: set up and evaluation. Rev. Palaeobot. Palynol. 194, 21–37 (2013).Article 

Google Scholar 
Li, C. et al. Harmonized chronologies of a global late Quaternary pollen dataset (LegacyAge 1.0). PANGAEA https://doi.org/10.1594/PANGAEA.933132 (2021).GlobalTreeSearch Online Database (Botanic Gardens Conservation International, UK, accessed 20 January 2022); https://tools.bgci.org/global_tree_search.php More

Effects of temperature on total daily locomotor activitiesTo understand the effect of temperature on the daily behavior of Drosophila species distributed in different temperature regions, we examined the daily locomotor activity at different temperatures in the following 11 sequenced Drosophila species: cosmopolitan (D. melanogaster and D. simulans), tropical (D. ananassae, D. erecta, D. yakuba, and D. sechellia), subtropical (D. willistoni and D. mojavensis), and temperate (D. persimilis, D. pseudoobscura, and D. virilis) species. Using the Drosophila Activity Monitor system25, we were able to analyze the amount of daily locomotor activity quantitatively at five experimental temperatures, i.e., 17 °C, 20 °C, 23 °C, 26 °C, and 29 °C. As the viability of the adults of D. persimilis and D. pseudoobscura was low at 29 °C, these two species were analyzed at only four experimental temperatures. First, we compared the amount of daily locomotor activities among these Drosophila species (Supplementary Fig. 1). The ranges of the total daily activity were quite diverse in these species (Kruskal–Wallis test: χ2 = 833.18, p  More

Hanski, I. Habitat fragmentation and species richness. J. Biogeogr. 42, 989–993. https://doi.org/10.1111/jbi.12478 (2015).Article 

Google Scholar 
Hoffmann, M. et al. The impact of conservation on the status of the world’s vertebrates. Science 330, 1503–1509. https://doi.org/10.1126/science.1194442 (2010).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Pimm, S. L. et al. The biodiversity of species and their rates of extinction, distribution, and protection. Science 344, 1246752 (2014).CAS 
Article 

Google Scholar 
Crooks, K. R. Relative sensitivities of mammalian carnivores to habitat fragmentation. Conserv. Biol. 16, 488–502. https://doi.org/10.1046/j.1523-1739.2002.00386.x (2002).Article 

Google Scholar 
Elliot, N. B., Cushman, S. A., Macdonald, D. W. & Loveridge, A. J. The devil is in the dispersers: Predictions of landscape connectivity change with demography. J. Appl. Ecol. 51, 1169–1178. https://doi.org/10.1111/1365-2664.12282 (2014).Article 

Google Scholar 
Carroll, C. Interacting effects of climate change, landscape conversion, and harvest on carnivore populations at the range margin: Marten and lynx in the northern Appalachians. Conserv. Biol. 21, 1092–1104. https://doi.org/10.1111/j.1523-1739.2007.00719.x (2007).Article 
PubMed 

Google Scholar 
Ripple, W. J. et al. Status and ecological effects of the world’s largest carnivores. Science 343, 1241484. https://doi.org/10.1126/science.1241484 (2014).CAS 
Article 
PubMed 

Google Scholar 
Farris, Z. J. et al. Hunting, exotic carnivores, and habitat loss: Anthropogenic effects on a native carnivore community, Madagascar. PLOS ONE 10, e0136456. https://doi.org/10.1371/journal.pone.0136456 (2015).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
Farris, Z. J. et al. Threats to a rainforest carnivore community: A multi-year assessment of occupancy and co-occurrence in Madagascar. Biol. Cons. 210, 116–124. https://doi.org/10.1016/j.biocon.2017.04.010 (2017).Article 

Google Scholar 
Swihart, R. K., Gehring, T. M., Kolozsvary, M. B. & Nupp, T. E. Responses of “resistant” vertebrates to habitat loss and fragmentation: The importance of niche breadth and range boundaries. Divers. Distrib. 9, 1–18. https://doi.org/10.1046/j.1472-4642.2003.00158.x (2003).Article 

Google Scholar 
Caryl, F. M., Quine, C. P. & Park, K. J. Martens in the matrix: The importance of nonforested habitats for forest carnivores in fragmented landscapes. J. Mammal. 93, 464–474. https://doi.org/10.1644/11-MAMM-A-149.1 (2012).Article 

Google Scholar 
Pereboom, V. et al. Movement patterns, habitat selection, and corridor use of a typical woodland-dweller species, the European pine marten (Martes martes), in fragmented landscape. Can. J. Zool. 86, 983–991. https://doi.org/10.1139/Z08-076 (2008).Article 

Google Scholar 
Fleschutz, M. M. et al. Response of a small felid of conservation concern to habitat fragmentation. Biodivers. Conserv. 25, 1447–1463. https://doi.org/10.1007/s10531-016-1118-6 (2016).Article 

Google Scholar 
Gálvez, N. et al. Forest cover outside protected areas plays an important role in the conservation of the Vulnerable guiña Leopardus guigna. Oryx 47, 251–258. https://doi.org/10.1017/S0030605312000099 (2013).Article 

Google Scholar 
Belcher, C. A. Demographics of tiger quoll (Dasyurus maculatus maculatus) populations in south-eastern Australia. Aust. J. Zool. 51, 611–626. https://doi.org/10.1071/ZO02051 (2003).Article 

Google Scholar 
Maxwell, S., Burbidge, A. & Morris, K. Spotted-tailed Quoll (SE mainland and Tas); recovery outline. (1996).Jones, M. E., Rose, R. K. & Burnett, S. Dasyurus maculatus. Mammalian Species 676, 1–9 (2001).Article 

Google Scholar 
Long, K. & Nelson, J. National recovery plan for the spotted-tailed Quoll Dasyurus maculatus. Victorian Department of Sustainability and Environment (2010).Claridge, A. W. et al. Home range of the spotted-tailed quoll (Dasyurus maculatus), a marsupial carnivore, in a rainshadow woodland. Wildl. Res. 32, 7–14. https://doi.org/10.1071/WR04031 (2005).Article 

Google Scholar 
Glen, A. S. & Dickman, C. R. Home range, denning behaviour and microhabitat use of the carnivorous marsupial Dasyurus maculatus in eastern Australia. J. Zool. 268, 347–354. https://doi.org/10.1111/j.1469-7998.2006.00064.x (2006).Article 

Google Scholar 
Körtner, G. et al. Population structure, turnover and movement of spotted-tailed quolls on the New England Tablelands. Wildl. Res. 31, 475–484. https://doi.org/10.1071/WR03041 (2004).Article 

Google Scholar 
Belcher, C. The Largest Surviving Marsupial Carnivore on Mainland Australia: The Tiger or Spotted-Tailed Quoll Dasyurus maculatus, A Nationally Threatened, Forest-Dependent Species 612–623 (Royal Zoological Society of New South Wales, Sydney, 2004).
Google Scholar 
Henderson, T., Fancourt, B. A., Rajaratnam, R., Vernes, K. & Ballard, G. Spatial and temporal interactions between endangered spotted-tailed quolls and introduced red foxes in a fragmented landscape. J. Zool. https://doi.org/10.1111/jzo.12919 (2021).Article 

Google Scholar 
Troy, S. N. Spatial Ecology of the Tasmanian Spotted-Tailed Quoll. Ph.D. Thesis, University of Tasmania, (2014).Jones, M. E. et al. Research supporting restoration aiming to make a fragmented landscape ‘functional’ for native wildlife. Ecol. Manag. Restor. 22, 65–74. https://doi.org/10.1111/emr.12504 (2021).Article 

Google Scholar 
Andersen, G. E., Johnson, C. N., Barmuta, L. A. & Jones, M. E. Use of anthropogenic linear features by two medium-sized carnivores in reserved and agricultural landscapes. Scientific Reports 7, 1–11. https://doi.org/10.1038/s41598-017-11454-z (2017).CAS 
Article 

Google Scholar 
Nichols, J. D. in Applied Ecology and Human Dimensions in Biological Conservation (eds L. M. Verdade, M.C. Lyra-Jorge, & C.I. Pina) 117–131 (Springer, 2014).Royle, J. A., Chandler, R. B., Sollmann, R. & Gardner, B. in Spatial Capture-Recapture (eds J. Andrew Royle, Richard B. Chandler, Rahel Sollmann, & Beth Gardner) 3–19 (Academic Press, 2014).Sollmann, R., Gardner, B. & Belant, J. L. How does spatial study design influence density estimates from spatial capture-recapture models?. PLoS ONE 7, e34575 (2012).ADS 
CAS 
Article 

Google Scholar 
Kalle, R., Ramesh, T., Qureshi, Q. & Sankar, K. Density of tiger and leopard in a tropical deciduous forest of Mudumalai Tiger Reserve, southern India, as estimated using photographic capture–recapture sampling. Acta Theriol. 56, 335–342. https://doi.org/10.1007/s13364-011-0038-9 (2011).Article 

Google Scholar 
Vissia, S., Wadhwa, R. & van Langevelde, F. Co-occurrence of high densities of brown hyena and spotted hyena in central Tuli, Botswana. J. Zool. 314, 143–150. https://doi.org/10.1111/jzo.12873 (2021).Article 

Google Scholar 
Henderson, T., Fancourt, B. A. & Ballard, G. The importance of species-specific survey designs: Prey camera trap surveys significantly underestimate the detectability of endangered spotted-tailed quolls. Aust. Mammalogy https://doi.org/10.1071/AM21039 (2022).Gorta, S. B. Z., Alting, B., Claridge, A. & Henderson, T. Apparent piebald variants in quolls (Dasyurus): Examples of three recent cases in the spotted-tailed quoll Dasyurus maculatus. Aust. Mammalogy 43, 373–377. https://doi.org/10.1071/AM20058 (2021).Article 

Google Scholar 
Kowalksi, M. (https://exifpro.informer.com/2.1/, 2011).Efford, M. in R package version 4.5.3 (2022).R Core Team. (R Foundation for Statistical Computing, Vienna, Austria, 2022).Rovero, F. & Zimmermann, F. Camera Trapping for Wildlife Research (Pelagic Publishing Ltd, London, 2016).
Google Scholar 
Efford, M. Density estimation in live-trapping studies. Oikos 106, 598–610. https://doi.org/10.1111/j.0030-1299.2004.13043.x (2004).Article 

Google Scholar 
Niedballa, J., Sollmann, R., Courtiol, A. & Wilting, A. camtrapR: An R package for efficient camera trap data management. Methods Ecol. Evol. 7, 1457–1462. https://doi.org/10.1111/2041-210X.12600 (2016).Article 

Google Scholar 
Burnham, K. P. & Anderson, D. R. A practical information-theoretic approach. Model Sel. Multimodel Inference 2, 70–71 (2002).MATH 

Google Scholar 
Hamer, R. P. et al. Differing effects of productivity on home-range size and population density of a native and an invasive mammalian carnivore. Wildlife Res. 49, 158–168. https://doi.org/10.1071/WR20134 (2021).Article 

Google Scholar 
Glen, A. S. & Dickman, C. R. Complex interactions among mammalian carnivores in Australia, and their implications for wildlife management. Biol. Rev. 80, 387–401. https://doi.org/10.1017/s1464793105006718 (2005).Article 
PubMed 

Google Scholar 
Glen, A. S., Pennay, M., Dickman, C. R., Wintle, B. A. & Firestone, K. B. Diets of sympatric native and introduced carnivores in the Barrington Tops, eastern Australia. Austral Ecol. 36, 290–296. https://doi.org/10.1111/j.1442-9993.2010.02149.x (2011).Article 

Google Scholar 
Glen, A. S. & Dickman, C. R. Population viability analysis shows spotted-tailed quolls may be vulnerable to competition. Aust Mammalogy 35, 180–183. https://doi.org/10.1071/AM12045 (2013).Article 

Google Scholar 
Graham, C. A., Maron, M. & McAlpine, C. A. Influence of landscape structure on invasive predators: Feral cats and red foxes in the brigalow landscapes, Queensland Australia. Wildl. Res. 39, 661–676. https://doi.org/10.1071/WR12008 (2012).Article 

Google Scholar 
Glen, A. S. Population attributes of the spotted-tailed quoll (Dasyurus maculatus) in north-eastern New South Wales. Aust. J. Zool. 56, 137–142. https://doi.org/10.1071/ZO08025 (2008).Article 

Google Scholar 
Chua, M. A., Sivasothi, N. & Meier, R. Population density, spatiotemporal use and diet of the leopard cat (Prionailurus bengalensis) in a human-modified succession forest landscape of Singapore. Mammal Res. 61, 99–108 (2016).Article 

Google Scholar 
Lorica, M. & Heaney, L. Survival of a native mammalian carnivore, the leopard cat Prionailurus bengalensis Kerr, 1792 (Carnivora: Felidae), in an agricultural landscape on an oceanic Philippine island. J. Threatened Taxa, 4451–4460 (2013).Rajaratnam, R., Sunquist, M., Rajaratnam, L. & Ambu, L. Diet and habitat selection of the leopard cat (Prionailurus bengalensis borneoensis) in an agricultural landscape in Sabah, Malaysian Borneo. J. Trop. Ecol. 23, 209–217 (2007).Article 

Google Scholar 
Belcher, C. A. & Darrant, J. P. Den use by the spotted-tailed quoll Dasyurus maculatus in south-eastern Australia. Aust Mammalogy 28, 59–64. https://doi.org/10.1071/AM06007 (2006).Article 

Google Scholar 
Glen, A. & Dickman, C. Why are there so many spotted-tailed Quolls Dasyurus maculatus in parts of north-eastern New South Wales?. Aust Zool 35, 711–718. https://doi.org/10.7882/az.2011.023 (2011).Article 

Google Scholar 
Hanski, I. Metapopulation ecology (Oxford University Press, Oxford, 1999).
Google Scholar 
Pulliam, H. R. Sources, sinks, and population regulation. Am. Nat. 132, 652–661 (1988).Article 

Google Scholar 
Belcher, C. A. Susceptibility of the tiger quoll, Dasyurus maculatus, and the eastern quoll, D. viverrinus, to 1080-poisoned baits in control programmes for vertebrate pests in eastern Australia. Wildl. Res. 25, 33–40. https://doi.org/10.1071/WR95077 (1998).Article 

Google Scholar 
Schmidt, G. M., Graves, T. A., Pederson, J. C. & Carroll, S. L. Precision and bias of spatial capture–recapture estimates: A multi-site, multi-year Utah black bear case study. Ecological Applications 32, e2618. https://doi.org/10.1002/eap.2618 (2022).Article 
PubMed 
PubMed Central 

Google Scholar 
White, G. C. Capture-Recapture and Removal Methods for Sampling Closed Populations (Los Alamos National Laboratory, New Mexico, 1982).
Google Scholar 
Thornton, D. H. & Pekins, C. E. Spatially explicit capture–recapture analysis of bobcat (Lynx rufus) density: Implications for mesocarnivore monitoring. Wildl. Res. 42, 394–404. https://doi.org/10.1071/WR15092 (2015).Article 

Google Scholar 
Sollmann, R. et al. Improving density estimates for elusive carnivores: Accounting for sex-specific detection and movements using spatial capture–recapture models for jaguars in central Brazil. Biol. Cons. 144, 1017–1024 (2011).Article 

Google Scholar 
Green, A. M., Chynoweth, M. W. & Şekercioğlu, Ç. H. Spatially explicit capture-recapture through camera trapping: A review of benchmark analyses for wildlife density estimation. Front. Ecol. Evol. 8, 473. https://doi.org/10.3389/fevo.2020.563477 (2020).Article 

Google Scholar 
du Preez, B. D., Loveridge, A. J. & Macdonald, D. W. To bait or not to bait: a comparison of camera-trapping methods for estimating leopard Panthera pardus density. Biol. Cons. 176, 153–161 (2014).Article 

Google Scholar 
Zimmermann, F., Breitenmoser-Würsten, C., Molinari-Jobin, A. & Breitenmoser, U. Optimizing the size of the area surveyed for monitoring a Eurasian lynx (Lynx lynx) population in the Swiss Alps by means of photographic capture–recapture. Integr. Zool. 8, 232–243 (2013).Article 

Google Scholar 
Dupont, P., Milleret, C., Gimenez, O. & Bischof, R. Population closure and the bias-precision trade-off in spatial capture–recapture. Methods Ecol. Evol. 10, 661–672. https://doi.org/10.1111/2041-210X.13158 (2019).Article 

Google Scholar 
Mergey, M., Helder, R. & Roeder, J. J. Effect of forest fragmentation on space-use patterns in the European pine marten (Martes martes). J. Mammal. 92, 328–335. https://doi.org/10.1644/09-MAMM-A-366.1 (2011).Article 

Google Scholar 
Silmi, M. et al. Activity and ranging behavior of leopard cats (Prionailurus bengalensis) in an oil palm landscape. Frontiers in Environmental Science 9, 651939. https://doi.org/10.3389/fenvs.2021.651939 (2021).Article 

Google Scholar  More

Ravishankara, A. R., Daniel, J. S. & Portmann, R. W. Nitrous Oxide (N2O): The Dominant Ozone-Depleting Substance Emitted in the 21st Century. Science 326, 123–125 (2009).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Tian H. et al. A comprehensive quantification of global nitrous oxide sources and sinks. Nature. 586, 248–256 (2020).WMO. WMO Greenhouse Gas Bulletin: The State of Greenhouse Gases in the Atmosphere Based on Global Observations through 2019. Tech. Rep. (2020).Butterbach-Bahl, K., Stange, F., Papen, H. & Li, C. Regional inventory of nitric oxide and nitrous oxide emissions for forest soils of southeast Germany using the biogeochemical model PnET-N-DNDC. J. Geophys. Res. – Atmospheres 106, 34155–34166 (2001).ADS 
CAS 
Article 

Google Scholar 
Kesik, M. et al. Inventories of N2O and NO emissions from European forest soils. Biogeosciences 2, 353–375 (2005).ADS 
CAS 
Article 

Google Scholar 
Park, S. et al. Trends and seasonal cycles in the isotopic composition of nitrous oxide since 1940. Nat. Geosci. 5, 261–265 (2012).ADS 
CAS 
Article 

Google Scholar 
World Bank. World Development Indicators: Fertiliser consumption (AG.CON.FERT.ZS), https://data.worldbank.org/indicator/AG.CON.FERT.ZS (2019).Tian, H. et al. Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty. Glob. Change Biol. 25, 640–659 (2019).ADS 
Article 

Google Scholar 
Hurtt, G. et al. Harmonization of global land-use change and management for the period 850-2100 (LUH2) for CMIP6. Geosci. Model Dev. 13, 5425–5464 (2020).Sebilo, M., Mayer, B., Nicolardot, B., Pinay, G. & Mariotti, A. Long-term fate of nitrate fertilizer in agricultural soils. Proc. Natl Acad. Sci. USA 110, 18185–18189 (2013).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Galloway, J. N. et al. Transformation of the Nitrogen Cycle: Recent Trends, Questions, and Potential Solutions. Science 320, 889–892 (2008).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Fowler, D. et al. The global nitrogen cycle in the twenty-first century. Philos. Trans. R. Soc. Lond. Ser. B, Biol. Sci. 368, 1–13 (2013).
Google Scholar 
Roy, E. D., Hammond Wagner, C. R. & Niles, M. T. Hot spots of opportunity for improved cropland nitrogen management across the United States. Environ. Res. Lett. 16, (2021).Lett, S. & Michelsen, A. Seasonal variation in nitrogen fixation and effects of climate change in a subarctic heath. Plant Soil 379, 193–204 (2014).CAS 
Article 

Google Scholar 
Wang, W. et al. Characteristics of Atmospheric Reactive Nitrogen Deposition in Nyingchi City. Sci. Rep. 9, 1–11 (2019).ADS 
Article 
CAS 

Google Scholar 
Verma, P. & Sagar, R. Effect of nitrogen (N) deposition on soil-N processes: a holistic approach. Sci. Rep. 10, 1–16 (2020).Article 
CAS 

Google Scholar 
Peng, J. et al. Global Carbon Sequestration Is Highly Sensitive to Model-Based Formulations of Nitrogen Fixation. Glob. Biogeochem. Cycles 34, 1–15 (2020).Article 
CAS 

Google Scholar 
Leitner, S. et al. Closing maize yield gaps in sub-Saharan Africa will boost soil N2O emissions. Curr. Opin. Environ. Sustain. 47, 95–105 (2020).Article 

Google Scholar 
Venterea, R. T. et al. Challenges and opportunities for mitigating nitrous oxide emissions from fertilized cropping systems. Front. Ecol. Environ. 10, 562–570 (2012).Article 

Google Scholar 
Wagner-Riddle, C., Baggs, E. M., Clough, T. J., Fuchs, K. & Petersen, S. O. Mitigation of nitrous oxide emissions in the context of nitrogen loss reduction from agroecosystems: managing hot spots and hot moments. Curr. Opin. Environ. Sustain. 47, 46–53 (2020).Article 

Google Scholar 
Gruber, N. & Galloway, J. N. An Earth-system perspective of the global nitrogen cycle. Nature 451, 293–296 (2008).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Hartmann, A. A., Barnard, R. L., Marhan, S. & Niklaus, P. A. Effects of drought and N-fertilization on N cycling in two grassland soils. Oecologia 171, 705–717 (2013).ADS 
PubMed 
Article 

Google Scholar 
Inatomi, M., Hajima, T. & Ito, A. Fraction of nitrous oxide production in nitrification and its effect on total soil emission: A meta-analysis and global-scale sensitivity analysis using a process-based model. Plos One 14, e0219159 (2019).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Li, Z. et al. Global patterns and controlling factors of soil nitrification rate. Glob. Change Biol. 26, 4147–4157 (2020).ADS 
Article 

Google Scholar 
Reichenau, T. G., Klar, C. W. & Schneider, K. Effects of Climate Change on Nitrate Leaching. In Regional Assessment of Global Change Impacts: The Project GLOWA-Danube (eds Mauser, W. & Prasch, M.) 623–629 (Springer, 2016).He, W. et al. Climate change impacts on crop yield, soil water balance and nitrate leaching in the semiarid and humid regions of Canada. PLoS ONE 13, 1–19 (2018).
Google Scholar 
Mas-Pla, J. & Menció, A. Groundwater nitrate pollution and climate change: learnings from a water balance-based analysis of several aquifers in a western Mediterranean region (Catalonia). Environ. Sci. Pollut. Res. 26, 2184–2202 (2019).CAS 
Article 

Google Scholar 
Stuart, M. E., Gooddy, D. C., Bloomfield, J. P. & Williams, A. T. A review of the impact of climate change on future nitrate concentrations in groundwater of the UK. Sci. Total Environ. 409, 2859–2873 (2011).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Frank, D. et al. Effects of climate extremes on the terrestrial carbon cycle: Concepts, processes and potential future impacts. Glob. Change Biol. 21, 2861–2880 (2015).ADS 
Article 

Google Scholar 
Mitchell, R. A., Mitchell, V. J., Driscoll, S. P., Franklin, J. & Lawlor, D. W. Effects of increased CO2 concentration and temperature on growth and yield of winter wheat at two levels of nitrogen application. Plant, Cell Environ. 16, 521–529 (1993).CAS 
Article 

Google Scholar 
Eisenhauer, N., Cesarz, S., Koller, R., Worm, K. & Reich, P. B. Global change belowground: Impacts of elevated CO 2, nitrogen, and summer drought on soil food webs and biodiversity. Glob. Change Biol. 18, 435–447 (2012).ADS 
Article 

Google Scholar 
Ri, X. & Prentice, I. C. Terrestrial nitrogen cycle simulation with a dynamic global vegetation model. Glob. Change Biol. 14, 1745–1764 (2008).ADS 
Article 

Google Scholar 
Ri, X., Prentice, I. C., Spahni, R. & Niu, H. S. Modelling terrestrial nitrous oxide emissions and implications for climate feedback. N. Phytologist 196, 472–488 (2012).Article 
CAS 

Google Scholar 
Giltrap, D. L. & Ausseil, A.-G. E. Upscaling NZ-DNDC using a regression based meta-model to estimate direct N2O emissions from New Zealand grazed pastures. Sci. Total Environ. 539, 221–230 (2016).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Thompson, R. L. et al. TransCom N2O model inter-comparison – Part 1: Assessing the influence of transport and surface fluxes on tropospheric N2O variability. Atmos. Chem. Phys. 14, 4349–4368 (2014).ADS 
Article 

Google Scholar 
Thompson, R. L. et al. TransCom N2O model inter-comparison – Part 2: Atmospheric inversion estimates of N2O emissions. Atmos. Chem. Phys. 14, 6177–6194 (2014).ADS 
Article 
CAS 

Google Scholar 
Thompson, R. L. et al. Acceleration of global N2O emissions seen from two decades of atmospheric inversion. Nat. Clim. Change, 8, (2019).Houlton, B. Z. & Bai, E. Imprint of denitrifying bacteria on the global terrestrial biosphere. Proc. Natl Acad. Sci. USA 106, 21713–21716 (2009).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Bai, E., Houlton, B. Z. & Wang, Y. P. Isotopic identification of nitrogen hotspots across natural terrestrial ecosystems. Biogeosciences 9, 3287–3304 (2012).ADS 
CAS 
Article 

Google Scholar 
Craine, J. M. et al. Ecological interpretations of nitrogen isotope ratios of terrestrial plants and soils. Plant Soil 396, 1–26 (2015).CAS 
Article 

Google Scholar 
Craine, J. M. et al. Convergence of soil nitrogen isotopes across global climate gradients. Sci. Rep. 5, 1–8 (2015).
Google Scholar 
Toyoda, S. et al. Decadal time series of tropospheric abundance of N2O isotopomers and isotopologues in the northern hemisphere obtained by the long-term observation at Hateruma Island, Japan. J. Geophys. Res. – Atmospheres 118, 1–13 (2013).
Google Scholar 
Harris, E. et al. Tracking nitrous oxide emission processes at a suburban site with semicontinuous, in situ measurements of isotopic composition. J. Geophys. Res. – Atmospheres 122, 1–21 (2017).CAS 

Google Scholar 
Harris, E. et al. Denitrifying pathways dominate nitrous oxide emissions from managed grassland during drought and rewetting. Sci. Adv. 7, eabb7118 (2021).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Yu, L. et al. Atmospheric nitrous oxide isotopes observed at the high-altitude research station Jungfraujoch, Switzerland. Atmos. Chem. Phys. 20, 6495–6519 (2020).ADS 
CAS 
Article 

Google Scholar 
Sowers, T., Rodebaugh, A., Yoshida, N. & Toyoda, S. Extending records of the isotopic composition of atmospheric N2O back to 1800 A.D. from air trapped in snow at the South Pole and the Greenland Ice Sheet Project II ice core. Glob. Biogeochem. Cycles 16, 1129 (2002).ADS 
Article 
CAS 

Google Scholar 
Scheer, C., Fuchs, K., Pelster, D. E. & Butterbach-Bahl, K. Estimating global terrestrial denitrification from measured N2O:(N2O + N2) product ratios. Curr. Opin. Environ. Sustainability 47, 72–80 (2020).Article 

Google Scholar 
Pilegaard, K. Processes regulating nitric oxide emissions from soils. Philos. Trans. R. Soc. B: Biol. Sci. 368, 1–8, (2013).Thompson, R. Documentation of N2O flux service: Description of the N2O inversion production chain. Technical report, Copernicus Atmospheric Monitoring Service, CAMS73_2018SC2 -Documentation of N2O flux service (2021).Voigt, C. et al. Nitrous oxide emissions from permafrost-affected soils. Nat. Rev. Earth Environ. 1, 420–434 (2020).ADS 
CAS 
Article 

Google Scholar 
Pan, B., Lam, S. K., Wang, E., Mosier, A. & Chen, D. New approach for predicting nitrification and its fraction of N2O emissions in global terrestrial ecosystems. Environ. Res. Lett. 16, (2021).Corbeels, M., Hofman, G. & Van Cleemput, O. Fate of fertiliser N applied to winter wheat growing on a Vertisol in a Medditerranean environment. Nutrient Cycl. Agroecosystems 53, 249–258 (1999).Article 

Google Scholar 
Jenkinson, D. S., Poulton, P. R., Johnston, A. E. & Powlson, D. S. Turnover of Nitrogen-15-Labeled Fertilizer in Old Grassland. Soil Sci. Soc. Am. J. 68, 865–875 (2004).ADS 
CAS 
Article 

Google Scholar 
Gardner, J. B. & Drinkwater, L. E. The fate of nitrogen in grain cropping systems: A meta-analysis of 15N field experiments. Ecol. Appl. 19, 2167–2184 (2009).PubMed 
Article 

Google Scholar 
Smith, W. et al. Towards an improved methodology for modelling climate change impacts on cropping systems in cool climates. Sci. Total Environ. 728, 138845 (2020).ADS 
CAS 
PubMed 
Article 

Google Scholar 
IPCC. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. (IPCC, Geneva, Switzerland, 2014).Butterbach-Bahl, K., Baggs, E. M., Dannenmann, M., Kiese, R. & Zechmeister-Boltenstern, S. Nitrous oxide emissions from soils: how well do we understand the processes and their controls? Philos. Trans. R. Soc. Lond. Ser. B, Biol. Sci. 368, 1–13 (2013).Congreves, K. A., Wagner-Riddle, C., Si, B. C. & Clough, T. J. Nitrous oxide emissions and biogeochemical responses to soil freezing-thawing and drying-wetting. Soil Biol. Biochem. 117(October 2017), 5–15 (2018).Wagner-Riddle, C. et al. Globally important nitrous oxide emissions from croplands induced by freeze-thaw cycles. Nat. Geosci. 10, 279–283 (2017).ADS 
CAS 
Article 

Google Scholar 
Byers, E., Bleken, M. A. & Dörsch, P. Winter N2O accumulation and emission in sub-boreal grassland soil depend on clover proportion and soil ph. Environ. Res. Commun. 3, (2021).Doersch, P., Sturite, I. & Trier Kjaer, S. High off-season nitrous oxide emissions negate potential soil C-gain from cover crops in boreal cereal cropping (EGU22-3066). EGU General Assembly 2022, https://doi.org/10.5194/egusphere-egu22-3066 (2022).Prokopiou, M. et al. Constraining N2O emissions since 1940 using firn air isotope measurements in both hemispheres. Atmos. Chem. Phys. 17, 4539–4564 (2017).ADS 
CAS 
Article 

Google Scholar 
Yu, L., Harris, E., Lewicka-Szczebak, D. & Mohn J. What can we learn from N2O isotope data? Analytics, processes and modelling. Rap. Commun. Mass Spectr. 34, 1–13 (2020).Smith, K., Thomson, P., Clayton, H., Mctaggart, I. & Conen, F. Effects of temperature, water content and nitrogen fertilisation on emissions of nitrous oxide by soils. Atmos. Environ. 32, 3301–3309 (1998).ADS 
CAS 
Article 

Google Scholar 
Yao, Z. et al. Soil-atmosphere exchange potential of NO and N2O in different land use types of Inner Mongolia as affected by soil temperature, soil moisture, freeze-thaw, and drying-wetting events. J. Geophys. Res. – Atmospheres 115, 1–17 (2010).
Google Scholar 
Cantarel, A. A. M. et al. Four years of experimental climate change modifies the microbial drivers of N 2O fluxes in an upland grassland ecosystem. Glob. Change Biol. 18, 2520–2531 (2012).ADS 
Article 

Google Scholar 
Zhang, Y. et al. Temperature effects on N2O production pathways in temperate forest soils. Sci. Total Environ. 691, 1127–1136 (2019).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Wang, Q. et al. Data-driven estimates of global nitrous oxide emissions from croplands. Natl Sci. Rev. 7, 441–452 (2020).CAS 
PubMed 
Article 

Google Scholar 
Rütting, T., Cizungu Ntaboba, L., Roobroeck, D., Bauters, M., Huygens, D. & Boeckx, P. Leaky nitrogen cycle in pristine African montane rainforest soil. Glob. biogeochemical cycles 29, 1754–1762 (2015).ADS 
Article 
CAS 

Google Scholar 
Brookshire, E. N., Gerber, S., Greene, W., Jones, R. T. & Thomas, S. A. Global bounds on nitrogen gas emissions from humid tropical forests. Geophys. Res. Lett. 44, 2502–2510 (2017).ADS 
CAS 
Article 

Google Scholar 
Homyak, P. M. et al. Aridity and plant uptake interact to make dryland soils hotspots for nitric oxide (NO) emissions. PNAS 113, E2608–E2616 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
IPCC. 2006 IPCC Guidelines for National Greenhouse Gas Inventories. (IGES, Japan, 2006).Davidson, E. A., Suddick, E. C., Rice, C. W. & Prokopy, L. S. More Food, Low Pollution (Mo Fo Lo Po): A Grand Challenge for the 21st Century. J. Environ. Qual. 44, 305–311 (2015).CAS 
PubMed 
Article 

Google Scholar 
Cui, X. et al. Global mapping of crop-specific emission factors highlights hotspots of nitrous oxide mitigation. Nature Food, In press, (2021).McDaniel, M. D., Mas-Pla, J. & Kaye, M. W. Do “hot moments” become hotter under climate change? Soil nitrogen dynamics from a climate manipulation experiment in a post-harvest forest. Biogeochemistry. https://doi.org/10.1007/s10533-014-0001-3 (2014).Yu, G. et al. Stabilization of atmospheric nitrogen deposition in China over the past decade. Nat. Geosci. 12, 424–429 (2019).ADS 
CAS 
Article 

Google Scholar 
New, M., Lister, D., Hulme, M. & Makin, I. A high-resolution data set of surface climate over global land areas. Clim. Res. 21, 1–25 (2002).Article 

Google Scholar 
FAO, IIASA, ISRIC, ISSCAS, and JRC. Harmonized World Soil Database (version 1.2). (Technical report, FAO, Rome, Italy and IIASA, Laxenburg, Austria, 2012).Hiederer, R. & Köchy M. Global soil organic carbon estimates and the harmonized world soil database. EUR 25225EN (2012).Trabucco, A. & Zomer, R. Global Aridity Index and Potential Evapo-Transpiration (ET0) Climate Database v2, https://doi.org/10.6084/m9.figshare.7504448.v3 (2019).Slessarev, E. W. et al. Water balance creates a threshold in soil pH at the global scale. Nature 540, 567–569 (2016).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Zinke, P., Stangenberger, A., Post, W., Emanual, E. & Olson, J. WORLDWIDE ORGANIC SOIL CARBON AND NITROGEN DATA. Technical report, Oak Ridge National Laboratory, https://cdiac.ess-dive.lbl.gov/ndps/ndp018.html (2004).Kowalczyk, E. A., Wang, Y. P. & Law, R. M. The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models and as an offline model. CSIRO Mar. Atmos. Res. Pap. 13, 1–42 (2006).
Google Scholar 
Houlton, B. Z., Wang, Y. P., Vitousek, P. M. & Field, C. B. A unifying framework for dinitrogen fixation in the terrestrial biosphere. Nature 454, 327–330 (2008).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Chen, C. et al. Nitrogen isotopic composition of plants and soil in an arid mountainous terrain: South slope versus north slope. Biogeosciences 15, 369–377 (2018).ADS 
CAS 
Article 

Google Scholar 
Brenner, D., Amundson, R., Baisden, T., Kendall, C. & Harden, J. N variation with time in a California annual grassland ecosystem. Geochimica et. Cosmochimica Acta. 65, 4171–4186 (2001).ADS 
CAS 
Article 

Google Scholar 
Xu, Y., He, J., Cheng, W., Xing, X. & Li, L. Natural 15N abundance in soils and plants in relation to N cycling in a rangeland in Inner Mongolia. J. Plant Ecol. 3, 201–207 (2010).Article 

Google Scholar 
Inglett, P. W., Reddy, K. R., Newman, S. & Lorenzen, B. Increased soil stable nitrogen isotopic ratio following phosphorus enrichment: Historical patterns and tests of two hypotheses in a phosphorus-limited wetland. Oecologia 153, 99–109 (2007).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Bissett, A. et al. Introducing BASE: the Biomes of Australian Soil Environments soil microbial diversity database. GigaScience, 5, (2016).Bauters, M. et al. Functional Composition of Tree Communities Changed Topsoil Properties in an Old Experimental Tropical Plantation. Ecosystems 20, 861–871 (2017).CAS 
Article 

Google Scholar 
Bauters, M. et al. Parallel functional and stoichiometric trait shifts in South American and African forest communities with elevation. Biogeosciences 14, 5313–5321 (2017).ADS 
CAS 
Article 

Google Scholar 
Bauters, M. et al. Contrasting nitrogen fluxes in African tropical forests of the Congo Basin. Ecol. Monograp. 89, 1–17 (2019).Bauters, M. et al. Long-term recovery of the functional community assembly and carbon pools in an African tropical forest succession. Biotropica 51, 319–329 (2019).Article 

Google Scholar 
Gallarotti, N. et al. In-depth analysis of N2O fluxes in tropical forest soils of the Congo Basin combining isotope and functional gene analysis. ISME J. (2021).Barthel, M. et al. Low N2O and variable CH4 fluxes from tropical forest soils of the Congo Basin. Nat. Commun. 13, 1–8 (2022).Article 
CAS 

Google Scholar 
Baumgartner, S. et al. Stable isotope signatures of soil nitrogen on an environmental-geomorphic gradient within the Congo Basin. Soil 7, 83–94 (2021).ADS 
CAS 
Article 

Google Scholar 
Chollet, F. Keras, Keras package for Python https://keras.io (2015).IUPAC. Compendium of Chemical Terminology, 2nd ed. (the “Gold Book”), online version created by S.J. Chalk. Blackwell Science Ltd, https://doi.org/10.1351/goldbook (2019).Yu, L. et al. Constraining global N2O budgets with decadal trends of multiple isotope signatures. In preparation, (2022).Machida, T., Nakazawa, T., Fujii, Y., Aoki, S. & Watanabe, O. Increase in the atmospheric nitrous oxide concentration during the last 250 years. Geophys. Res. Lett. 22, 2921–2924 (1995).ADS 
CAS 
Article 

Google Scholar 
Rubino, M. et al. Revised records of atmospheric trace gases CO2, CH4, N2O, and δ13C-CO2 over the last 2000 years from Law Dome, Antarctica. Earth Syst. Sci. Data 11, 473–492 (2019).ADS 
Article 

Google Scholar 
Dorich, C. et al. Improving N2O emission estimates with the global N2O database. Curr. Opin. Environ. Sustainability 47, 13–20 (2020).Article 

Google Scholar 
Mariotti, A. et al. Experimental-determination of Nitrogen Kinetic Isotope Fractionation – Some Principles – Illustration For the Denitrification and Nitrification Processes. Plant Soil 62, 413–430 (1981).CAS 
Article 

Google Scholar 
Möbius, J. Isotope fractionation during nitrogen remineralization (ammonification): Implications for nitrogen isotope biogeochemistry. Geochimica et. Cosmochimica Acta. 105, 422–432 (2013).ADS 
Article 
CAS 

Google Scholar 
Stern, L., Baisden, W. T. & Amundson, R. Processes controlling the oxygen isotope ratio of soil CO2: Analytic and numerical modeling. Geochimica Et. Cosmochimica Acta. 63, 799–814 (1999).ADS 
CAS 
Article 

Google Scholar 
Denk, T. R. A. et al. The nitrogen cycle: A review of isotope effects and isotope modeling approaches. Soil Biol. Biochem. 105, 121–137 (2017).CAS 
Article 

Google Scholar 
Rohe, L. et al. Comparing modified substrate induced respiration with selective inhibition (SIRIN) and N2O isotope approaches to estimate fungal contribution to denitrification in three arable soils under anoxic conditions. Biogeosciences, 18, 4629–4650, https://doi.org/10.5194/bg-18-4629-2021 (2021).Wei, J. et al. N2O and NOx emissions by reactions of nitrite with soil organic matter of a Norway spruce forest. Biogeochemistry 132, 325–342 (2017).CAS 
Article 

Google Scholar 
Clough, T. J. et al. Influence of soil moisture on codenitrification fluxes from a urea-affected pasture soil. Sci. Rep. 7, 1–12 (2017).CAS 
Article 

Google Scholar 
Bai, E. & Houlton, B. Z. Coupled isotopic and process-based modeling of gaseous nitrogen losses from tropical rain forests. Glob. Biogeochemical Cycles 23, 1–10 (2009).
Google Scholar 
Wen, Y. et al. Disentangling gross N2O production and consumption in soil. Sci. Rep. 6, 1–8 (2016).Article 
CAS 

Google Scholar 
Zhang, Y., Liu, X. J., Fangmeier, A., Goulding, K. T. & Zhang, F. S. Nitrogen inputs and isotopes in precipitation in the North China Plain. Atmos. Environ. 42, 1436–1448 (2008).ADS 
CAS 
Article 

Google Scholar 
Unkovich, M. Isotope discrimination provides new insight into biological nitrogen fixation. N. Phytologist 198, 643–646 (2013).CAS 
Article 

Google Scholar 
Beyn, F., Matthias, V., Aulinger, A. & Dähnke, K. Do N-isotopes in atmospheric nitrate deposition reflect air pollution levels? Atmos. Environ. 107, 281–288 (2015).ADS 
CAS 
Article 

Google Scholar 
Vereecken, H. et al. Modeling Soil Processes: Review, Key challenges and New Perspectives. Vadose Zone J. 15, 1–57 (2016).CAS 

Google Scholar 
Lamarque, J. F. et al. Multi-model mean nitrogen and sulfur deposition from the atmospheric chemistry and climate model intercomparison project (ACCMIP): Evaluation of historical and projected future changes. Atmos. Chem. Phys. 13, 7997–8018 (2013).ADS 
Article 
CAS 

Google Scholar 
Schlesinger, W. H. On the fate of anthropogenic nitrogen. Proc. Natl Acad. Sci. USA 106, 203–208 (2009).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Kim, D. G., Hernandez-Ramirez, G. & Giltrap, D. Linear and nonlinear dependency of direct nitrous oxide emissions on fertilizer nitrogen input: A meta-analysis. Agriculture, Ecosyst. Environ. 168, 53–65 (2013).CAS 
Article 

Google Scholar 
Scheer, C. et al. Addressing nitrous oxide: An often ignored climate and ozone threat. Tech. Rep. (2019).Hu, H. W., Chen, D. & He, J. Z. Microbial regulation of terrestrial nitrous oxide formation: Understanding the biological pathways for prediction of emission rates. FEMS Microbiol. Rev. 39, 729–749 (2015).CAS 
PubMed 
Article 

Google Scholar 
Zaehle, S. Terrestrial nitrogen-carbon cycle interactions at the global scale. Philos. Trans. R. Soc. B: Biol. Sci. 368, 1–9 (2013).Jones, P. et al. Hemispheric and large-scale land surface air temperature variations: An extensive revision and an update to 2010. J. Geophys. Res. 117, D05127 (2012).ADS 

Google Scholar 
Olivier, J. & Berdowski, J. EDGAR 3.x by RIVM/TNO. In The Climate System (eds Berdowski, R. G. J. & Heij, B.) 33–77. (Swets and Zeitlinger Publishers, 2001).Crippa, M. et al. High resolution temporal profiles in the Emissions Database for Global Atmospheric Research. Sci. Data 7, 1–17 (2020).Article 

Google Scholar 
Bateman, A. S. & Kelly, S. D. Fertilizer nitrogen isotope signatures. Isotopes Environ. Health Stud. 43, 237–247 (2007).CAS 
PubMed 
Article 

Google Scholar 
Savard, M. M. et al. Nitrate isotopes unveil distinct seasonal N-sources and the critical role of crop residues in groundwater contamination. J. Hydrol. 381, 134–141 (2010).ADS 
CAS 
Article 

Google Scholar 
Bowman, K. P. & Cohen, P. J. Interhemispheric exchange by seasonal modulation of the Hadley circulation. J. Atmos. Sci. 54, 2045–2059 (1997).ADS 
Article 

Google Scholar 
Moseman-Valtierra, S. et al. Short-term nitrogen additions can shift a coastal wetland from a sink to a source of N2O. Atmos. Environ. 45, 4390–4397 (2011).ADS 
CAS 
Article 

Google Scholar 
Brase, L., Bange, H. W., Lendt, R., Sanders, T. & Dähnke, K. High Resolution Measurements of Nitrous Oxide (N2O) in the Elbe Estuary. Front. Mar. Sci. 4, 1–11 (2017).Article 

Google Scholar 
Wells, N. S. et al. Estuaries as Sources and Sinks of N2O Across a Land Use Gradient in Subtropical Australia. Glob. Biogeochemical Cycles 32, 877–894 (2018).ADS 
CAS 
Article 

Google Scholar 
Rayner, P. Data Assimilation using an ensemble of models: A hierarchical approach. Atmos. Chem. Phys. 20, 1–13 (2020).Article 
CAS 

Google Scholar 
Met Office. Cartopy: a cartographic python library with a Matplotlib interface (https://scitools.org.uk/cartopy), (2015). More

IPCC. Climate Change 2021: The Physical Science Basis. (eds Masson-Delmotte, V. et al.) Contribution of working group 1 to the ‘Sixth assessment report of the intergovernmental panel on climate change’ (Cambridge University Press, 2021).Huang, J., Yu, H., Guan, X., Wang, G. & Guo, R. Accelerated dryland expansion under climate change. Nat. Clim. Change 6, 166–171 (2016).Article 

Google Scholar 
Greve, P. et al. Global assessment of trends in wetting and drying over land. Nat. Geosc. 7, 716–721 (2014).CAS 
Article 

Google Scholar 
Lin, L., Gettelman, A., Feng, S. & Fu, Q. Simulated climatology and evolution of aridity in the 21st century. J. Geophys. Res. Atmos. 120, 5795–5815 (2015).Article 

Google Scholar 
Coumou, D. & Rahmstorf, S. A decade of weather extremes. Nat. Clim. Change 2, 491–496 (2012).Article 

Google Scholar 
Williams, A. P. et al. Large contribution from anthropogenic warming to an emerging North American megadrought. Science 368, 314–318 (2020).CAS 
PubMed 
Article 

Google Scholar 
Touma, D., Ashfaq, M., Nayak, M. A., Kao, S.-C. & Diffenbaugh, N. S. A multi-model and multi-index evaluation of drought characteristics in the 21st century. J. Hydrol. 526, 196–207 (2015).Article 

Google Scholar 
Liu, W. et al. Global drought and severe drought-affected populations in 1.5 and 2 °C warmer worlds. Earth Syst. Dyn. 9, 267–283 (2018).Article 

Google Scholar 
Ault, T. R. On the essentials of drought in a changing climate. Science 368, 256–260 (2020).CAS 
PubMed 
Article 

Google Scholar 
Swann, A. L., Hoffman, F. M., Koven, C. D. & Randerson, J. T. Plant responses to increasing CO2 reduce estimates of climate impacts on drought severity. Proc. Natl Acad. Sci. USA 113, 10019–10024 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Milly, P. C. D. & Dunne, K. A. Potential evapotranspiration and continental drying. Nat. Clim. Change 6, 946–949 (2016).Article 

Google Scholar 
Zhou, S. et al. Soil moisture–atmosphere feedbacks mitigate declining water availability in drylands. Nat. Clim. Change 11, 38–44 (2021).Article 

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

Google Scholar 
Harpold, A. A. et al. Soil moisture response to snowmelt timing in mixed-conifer subalpine forests. Hydrol. Process. 29, 2782–2798 (2015).Article 

Google Scholar 
Lesk, C., Rowhani, P. & Ramankutty, N. Influence of extreme weather disasters on global crop production. Nature 529, 84–87 (2016).CAS 
PubMed 
Article 

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

Google Scholar 
Reichstein, M. et al. Climate extremes and the carbon cycle. Nature 500, 287–295 (2013).CAS 
PubMed 
Article 

Google Scholar 
Pecl, G. T. et al. Biodiversity redistribution under climate change: impacts on ecosystems and human well-being. Science 355, eaai9214 (2017).Song, J. et al. A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change. Nat. Ecol. Evol. 3, 1309–1320 (2019).PubMed 
Article 

Google Scholar 
Parton, W. et al. Global-scale similarities in nitrogen release patterns during long-term decomposition. Science 315, 361–364 (2007).CAS 
PubMed 
Article 

Google Scholar 
Adair, E. C. et al. Simple three-pool model accurately describes patterns of long-term litter decomposition in diverse climates. Glob. Change Biol. 14, 2636–2660 (2008).Article 

Google Scholar 
Adair, E. C., Parton, W. J., King, J. Y., Brandt, L. A. & Lin, Y. Accounting for photodegradation dramatically improves prediction of carbon losses in dryland systems. Ecosphere 8, e01892 (2017).Article 

Google Scholar 
Chen, M. et al. Simulation of the effects of photodecay on long-term litter decay using DayCent. Ecosphere 7, e01631 (2016).
Google Scholar 
Asao, S., Parton, W. J., Chen, M. & Gao, W. Photodegradation accelerates ecosystem N cycling in a simulated California grassland. Ecosphere 9, e02370 (2018).Article 

Google Scholar 
Berdugo, M. et al. Global ecosystem thresholds driven by aridity. Science 367, 787–790 (2020).CAS 
PubMed 
Article 

Google Scholar 
Feng, S. & Fu, Q. Expansion of global drylands under a warming climate. Atmos. Chem. Phys. 13, 10081–10094 (2013).CAS 
Article 

Google Scholar 
Berg, A. & McColl, K. A. No projected global drylands expansion under greenhouse warming. Nat. Clim. Change 11, 331–337 (2021).Article 

Google Scholar 
Whitford, W. G. & Duval, B. D. Ecology of Desert Systems 2nd edn (Academic Press, 2020).Maestre, F. T. et al. Structure and functioning of dryland ecosystems in a changing world. Annu. Rev. Ecol. Evol. Syst. 47, 215–237 (2016).PubMed 
PubMed Central 
Article 

Google Scholar 
Schimel, J. P. Life in dry soils: effects of drought on soil microbial communities and processes. Annu. Rev. Ecol. Evol. Syst. 49, 409–432 (2018).Article 

Google Scholar 
Nielsen, U. N. & Ball, B. A. Impacts of altered precipitation regimes on soil communities and biogeochemistry in arid and semi-arid ecosystems. Glob. Change Biol. 21, 1407–1421 (2015).Article 

Google Scholar 
Collins, S. L. et al. A multiscale, hierarchical model of pulse dynamics in arid-land ecosystems. Annu. Rev. Ecol. Evol. Syst. 45, 397–419 (2014).Article 

Google Scholar 
Kim, D.-G., Mu, S., Kang, S. & Lee, D. Factors controlling soil CO2 effluxes and the effects of rewetting on effluxes in adjacent deciduous, coniferous, and mixed forests in Korea. Soil Biol. Biochem. 42, 576–585 (2010).Article 
CAS 

Google Scholar 
Curiel Yuste, J., Janssens, I. A., Carrara, A., Meiresonne, L. & Ceulemans, R. Interactive effects of temperature and precipitation on soil respiration in a temperate maritime pine forest. Tree Physiol. 23, 1263–1270 (2003).CAS 
PubMed 
Article 

Google Scholar 
Savage, K., Davidson, E. A., Richardson, A. D. & Hollinger, D. Y. Three scales of temporal resolution from automated soil respiration measurements. Agric. Meteorol. 149, 2012–2021 (2009).Article 

Google Scholar 
Hao, Y., Wang, Y., Mei, X. & Cui, X. The response of ecosystem CO2 exchange to small precipitation pulses over a temperate steppe. Plant Ecol. 209, 335–347 (2010).Article 

Google Scholar 
Krüger, J. P., Beckedahl, H., Gerold, G. & Jungkunst, H. F. Greenhouse gas emission peaks following natural rewetting of two wetlands in the southern Ukhahlamba-Drakensberg Park, South Africa. S. Afr. Geogr. J. 96, 113–118 (2013).Article 

Google Scholar 
Haverd, V., Ahlström, A., Smith, B. & Canadell, J. G. Carbon cycle responses of semi-arid ecosystems to positive asymmetry in rainfall. Glob. Change Biol. 23, 793–800 (2017).Article 

Google Scholar 
Kim, D. G., Vargas, R., Bond-Lamberty, B. & Turetsky, M. R. Effects of soil rewetting and thawing on soil gas fluxes: a review of current literature and suggestions for future research. Biogeosciences 9, 2459–2483 (2012).CAS 
Article 

Google Scholar 
Barnard, R. L., Blazewicz, S. J. & Firestone, M. K. Rewetting of soil: revisiting the origin of soil CO2 emissions. Soil Biol. Biochem. 147, 107819 (2020).Prieto, I., Armas, C. & Pugnaire, F. I. Water release through plant roots: new insights into its consequences at the plant and ecosystem level. New Phytol. 193, 830–841 (2012).PubMed 
Article 

Google Scholar 
Neumann, R. B. & Cardon, Z. G. The magnitude of hydraulic redistribution by plant roots: a review and synthesis of empirical and modeling studies. New Phytol. 194, 337–352 (2012).PubMed 
Article 

Google Scholar 
Mooney, H. A., Gulmon, S. L., Rundel, P. W. & Ehleringer, J. Further observations on the water relations of Prosopis tamarugo of the northern Atacama desert. Oecologia 44, 177–180 (1980).CAS 
PubMed 
Article 

Google Scholar 
Richards, J. H. & Caldwell, M. M. Hydraulic lift: substantial nocturnal water transport between soil layers by Artemisia tridentata roots. Oecologia 73, 486–489 (1987).CAS 
PubMed 
Article 

Google Scholar 
Caldwell, M. M., Dawson, T. E. & Richards, J. H. Hydraulic lift: consequences of water efflux from the roots of plants. Oecologia 113, 151–161 (1998).PubMed 
Article 

Google Scholar 
Brooks, J. R., Meinzer, F. C., Coulombe, R. & Gregg, J. Hydraulic redistribution of soil water during summer drought in two contrasting Pacific Northwest coniferous forests. Tree Physiol. 22, 1107–1117 (2002).PubMed 
Article 

Google Scholar 
Lee, J. E., Oliveira, R. S., Dawson, T. E. & Fung, I. Root functioning modifies seasonal climate. Proc. Natl Acad. Sci. USA 102, 17576–17581 (2005).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Robinson, J. L., Slater, L. D. & Schäfer, K. V. R. Evidence for spatial variability in hydraulic redistribution within an oak–pine forest from resistivity imaging. J. Hydrol. 430-431, 69–79 (2012).Article 

Google Scholar 
Oliveira, R. S., Dawson, T. E., Burgess, S. S. O. & Nepstad, D. C. Hydraulic redistribution in three Amazonian trees. Oecologia 145, 354–363 (2005).PubMed 
Article 

Google Scholar 
Zapater, M. et al. Evidence of hydraulic lift in a young beech and oak mixed forest using 18O soil water labelling. Trees 25, 885–894 (2011).Article 

Google Scholar 
Sardans, J. & Peñuelas, J. Hydraulic redistribution by plants and nutrient stoichiometry: shifts under global change. Ecohydrology 7, 1–20 (2014).Article 

Google Scholar 
Schenk, H. J. & Jackson, R. B. Rooting depths, lateral root spreads and below‐ground/above‐ground allometries of plants in water‐limited ecosystems. J. Ecol. 90, 480–494 (2002).Article 

Google Scholar 
Choat, B. et al. Global convergence in the vulnerability of forests to drought. Nature 491, 752–755 (2012).CAS 
PubMed 
Article 

Google Scholar 
Wang, L., Kaseke, K. F. & Seely, M. K. Effects of non-rainfall water inputs on ecosystem functions. WIREs Water 4, e1179 (2017).
Google Scholar 
Dawson, T. E. & Goldsmith, G. R. The value of wet leaves. New Phytol. 219, 1156–1169 (2018).PubMed 
Article 

Google Scholar 
Agam, N. & Berliner, P. R. Dew formation and water vapor adsorption in semi-arid environments – a review. J. Arid. Environ. 65, 572–590 (2006).Article 

Google Scholar 
Dirks, I., Navon, Y., Kanas, D., Dumbur, R. & Grünzweig, J. M. Atmospheric water vapor as driver of litter decomposition in Mediterranean shrubland and grassland during rainless seasons. Glob. Change Biol. 16, 2799–2812 (2010).Article 

Google Scholar 
Jacobson, K. et al. Non-rainfall moisture activates fungal decomposition of surface litter in the Namib Sand Sea. PLoS ONE 10, e0126977 (2015).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
McHugh, T. A., Morrissey, E. M., Reed, S. C., Hungate, B. A. & Schwartz, E. Water from air: an overlooked source of moisture in arid and semiarid regions. Sci. Rep. 5, 13767 (2015).PubMed 
PubMed Central 
Article 

Google Scholar 
Gliksman, D. et al. Biotic degradation at night, abiotic degradation at day: positive feedbacks on litter decomposition in drylands. Glob. Change Biol. 23, 1564–1574 (2017).Article 

Google Scholar 
Goldsmith, G. R., Matzke, N. J. & Dawson, T. E. The incidence and implications of clouds for cloud forest plant water relations. Ecol. Lett. 16, 307–314 (2013).PubMed 
Article 

Google Scholar 
Binks, O. et al. Foliar water uptake in Amazonian trees: evidence and consequences. Glob. Change Biol. 25, 2678–2690 (2019).Article 

Google Scholar 
Benzing, D. H. Vulnerabilities of tropical forests to climate change: the significance of resident epiphytes. Clim. Change 39, 519–540 (1998).Article 

Google Scholar 
Evans, S., Todd-Brown, K. E. O., Jacobson, K. & Jacobson, P. Non-rainfall moisture: a key driver of microbial respiration from standing litter in arid, semiarid, and mesic grasslands. Ecosystems 23, 1154–1169 (2020).CAS 
Article 

Google Scholar 
Newell, S. Y., Fallon, R. D., Rodriguez, R. M. C. & Groene, L. C. Influence of rain, tidal wetting and relative-humidity on release of carbon-dioxide by standing-dead salt-marsh plants. Oecologia 68, 73–79 (1985).CAS 
PubMed 
Article 

Google Scholar 
Kuehn, K. A., Steiner, D. & Gessner, M. O. Diel mineralization patterns of standing-dead plant litter: implications for CO2 flux from wetlands. Ecology 85, 2504–2518 (2004).Article 

Google Scholar 
Doerr, S. H., Shakesby, R. A. & Walsh, R. P. D. Soil water repellency: its causes, characteristics and hydro-geomorphological significance. Earth Sci. Rev. 51, 33–65 (2000).Article 

Google Scholar 
Goebel, M.-O., Bachmann, J., Reichstein, M., Janssens, I. A. & Guggenberger, G. Soil water repellency and its implications for organic matter decomposition – is there a link to extreme climatic events? Glob. Change Biol. 17, 2640–26596 (2011).Article 

Google Scholar 
Mao, J., Nierop, K. G. J., Dekker, S. C., Dekker, L. W. & Chen, B. Understanding the mechanisms of soil water repellency from nanoscale to ecosystem scale: a review. J. Soils Sediments 19, 171–185 (2019).Article 

Google Scholar 
Doerr, S. H., Shakesby, R. A., Dekker, L. W. & Ritsema, C. J. Occurrence, prediction and hydrological effects of water repellency amongst major soil and land-use types in a humid temperate climate. Eur. J. Soil Sci. 57, 741–754 (2006).Article 

Google Scholar 
Lebron, I., Robinson, D. A., Oatham, M. & Wuddivira, M. N. Soil water repellency and pH soil change under tropical pine plantations compared with native tropical forest. J. Hydrol. 414-415, 194–200 (2012).CAS 
Article 

Google Scholar 
Buczko, U., Bens, O. & Hüttl, R. F. Variability of soil water repellency in sandy forest soils with different stand structure under Scots pine (Pinus sylvestris) and beech (Fagus sylvatica). Geoderma 126, 317–336 (2005).Article 

Google Scholar 
Dekker, L. W. & Ritsema, C. J. Variation in water content and wetting patterns in Dutch water repellent peaty clay and clayey peat soils. CATENA 28, 89–105 (1996).CAS 
Article 

Google Scholar 
de Blas, E., Almendros, G. & Sanz, J. Molecular characterization of lipid fractions from extremely water-repellent pine and eucalyptus forest soils. Geoderma 206, 75–84 (2013).Article 
CAS 

Google Scholar 
MacDonald, L. H. & Huffman, E. L. Post-fire soil water repellency. Soil Sci. Soc. Am. J. 68, 1729–1734 (2004).CAS 
Article 

Google Scholar 
Hewelke, E. et al. Intensity and persistence of soil water repellency in pine forest soil in a temperate continental climate under drought conditions. Water 10, 1121 (2018).Article 
CAS 

Google Scholar 
Borken, W. & Matzner, E. Reappraisal of drying and wetting effects on C and N mineralization and fluxes in soils. Glob. Change Biol. 15, 808–824 (2009).Article 

Google Scholar 
Siteur, K. et al. Soil water repellency: a potential driver of vegetation dynamics in coastal dunes. Ecosystems 19, 1210–1224 (2016).CAS 
Article 

Google Scholar 
Austin, A. T. & Vivanco, L. Plant litter decomposition in a semi-arid ecosystem controlled by photodegradation. Nature 442, 555–558 (2006).CAS 
PubMed 
Article 

Google Scholar 
King, J. Y., Brandt, L. A. & Adair, E. C. Shedding light on plant litter decomposition: advances, implications and new directions in understanding the role of photodegradation. Biogeochemistry 111, 57–81 (2012).Article 

Google Scholar 
Moorhead, D. L. & Callaghan, T. Effects of increasing ultraviolet B radiation on decomposition and soil organic matter dynamics: a synthesis and modelling study. Biol. Fertil. Soils 18, 19–26 (1994).CAS 
Article 

Google Scholar 
Sulzberger, B., Austin, A. T., Cory, R. M., Zepp, R. G. & Paul, N. D. Solar UV radiation in a changing world: roles of cryosphere-land-water-atmosphere interfaces in global biogeochemical cycles. Photochem. Photobiol. Sci. 18, 747–774 (2019).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Austin, A. T., Mendez, M. S. & Ballaré, C. L. Photodegradation alleviates the lignin bottleneck for carbon turnover in terrestrial ecosystems. Proc. Natl Acad. Sci. USA 113, 4392–4397 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Brandt, L. A., King, J. Y., Hobbie, S. E., Milchunas, D. G. & Sinsabaugh, R. L. The role of photodegradation in surface litter decomposition across a grassland ecosystem precipitation gradient. Ecosystems 13, 765–781 (2010).CAS 
Article 

Google Scholar 
Pieristè, M. et al. Solar UV-A radiation and blue light enhance tree leaf litter decomposition in a temperate forest. Oecologia 191, 191–203 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
Wu, C. et al. Photodegradation accelerates coarse woody debris decomposition in subtropical Chinese forests. For. Ecol. Manage. 409, 225–232 (2018).Article 

Google Scholar 
Marinho, O. A., Martinelli, L. A., Duarte-Neto, P. J. R., Mazzi, E. A. & King, J. Y. Photodegradation influences litter decomposition rate in a humid tropical ecosystem, Brazil. Sci. Total Environ. 715, 136601 (2020).CAS 
PubMed 
Article 

Google Scholar 
Wang, Q. W. et al. The contribution of photodegradation to litter decomposition in a temperate forest gap and understorey. New Phytol. 229, 2625–2636 (2021).CAS 
PubMed 
Article 

Google Scholar 
Rutledge, S., Campbell, D. I., Baldocchi, D. & Schipper, L. A. Photodegradation leads to increased carbon dioxide losses from terrestrial organic matter. Glob. Change Biol. 16, 3065–3074 (2010).
Google Scholar 
Williamson, C. E. et al. Solar ultraviolet radiation in a changing climate. Nat. Clim. Change 4, 434–441 (2014).Article 

Google Scholar 
Zepp, R. G., Erickson, D. J. III, Paul, N. D. & Sulzberger, B. Effects of solar UV radiation and climate change on biogeochemical cycling: interactions and feedbacks. Photochem. Photobiol. Sci. 10, 261–271 (2011).CAS 
PubMed 
Article 

Google Scholar 
Austin, A. Has water limited our imagination for aridland biogeochemistry? Trends Ecol. Evol. 26, 229–235 (2011).PubMed 
Article 

Google Scholar 
McCalley, C. K. & Sparks, J. P. Abiotic gas formation drives nitrogen loss from a desert ecosystem. Science 326, 837–840 (2009).CAS 
PubMed 
Article 

Google Scholar 
Lee, H., Rahn, T. & Throop, H. L. An accounting of C-based trace gas release during abiotic plant litter degradation. Glob. Change Biol. 18, 1185–1195 (2012).Article 

Google Scholar 
Wang, B., Lerdau, M. & He, Y. Widespread production of nonmicrobial greenhouse gases in soils. Glob. Change Biol. 23, 4472–4482 (2017).Article 

Google Scholar 
Soper, F. M., McCalley, C. K., Sparks, K. & Sparks, J. P. Soil carbon dioxide emissions from the Mojave desert: isotopic evidence for a carbonate source. Geophys. Res. Lett. 44, 245–251 (2017).CAS 
Article 

Google Scholar 
Day, T. A. & Bliss, M. S. Solar photochemical emission of CO2 from leaf litter: sources and significance to C loss. Ecosystems 23, 1344–1361 (2020).CAS 
Article 

Google Scholar 
Throop, H. L. & Belnap, J. Connectivity dynamics in dryland litter cycles: moving decomposition beyond spatial stasis. Bioscience 69, 602–614 (2019).Article 

Google Scholar 
Throop, H. L. & Archer, S. R. Resolving the dryland decomposition conundrum: some new perspectives on potential drivers. Prog. Bot. 70, 171–194 (2009).CAS 

Google Scholar 
Barnes, P. W. et al. in Progress in Botany Vol. 76 (eds Lüttge, U. & Beyschlag, W.) 273–302 (Springer, 2015).Barnes, P. W., Throop, H. L., Hewins, D. B., Abbene, M. L. & Archer, S. R. Soil coverage reduces photodegradation and promotes the development of soil-microbial films on dryland leaf litter. Ecosystems 15, 311–321 (2012).CAS 
Article 

Google Scholar 
Joly, F. X., Kurupas, K. L. & Throop, H. L. Pulse frequency and soil-litter mixing alter the control of cumulative precipitation over litter decomposition. Ecology 98, 2255–2260 (2017).PubMed 
Article 

Google Scholar 
Weber, B., Büdel, B. & Belnap, J. Biological Soil Crusts: An Organizing Principle in Drylands Vol. 226 (Springer, 2016).Belnap, J. & Lange, O. L. Biological Soil Crusts: Structure, Function, and Management (Springer, 2001).Ferrenberg, S., Tucker, C. L. & Reed, S. C. Biological soil crusts: diminutive communities of potential global importance. Front. Ecol. Environ. 15, 160–167 (2017).Article 

Google Scholar 
Belnap, J. The world at your feet: desert biological soil crusts. Front. Ecol. Environ. 1, 181–189 (2003).Article 

Google Scholar 
Rodríguez-Caballero, E. et al. Dryland photoautotrophic soil surface communities endangered by global change. Nat. Geosci. 11, 185–189 (2018).Article 
CAS 

Google Scholar 
Hawkes, C. V. & Flechtner, V. R. Biological soil crusts in a xeric Florida shrubland: composition, abundance, and spatial heterogeneity of crusts with different disturbance histories. Microb. Ecol. 43, 1–12 (2002).CAS 
PubMed 
Article 

Google Scholar 
Langhans, T. M., Storm, C. & Schwabe, A. Community assembly of biological soil crusts of different successional stages in a temperate sand ecosystem, as assessed by direct determination and enrichment techniques. Microb. Ecol. 58, 394–407 (2009).PubMed 
Article 

Google Scholar 
Veluci, R. M., Neher, D. A. & Weicht, T. R. Nitrogen fixation and leaching of biological soil crust communities in mesic temperate soils. Microb. Ecol. 51, 189–196 (2006).CAS 
PubMed 
Article 

Google Scholar 
Cabała, J. & Rahmonov, O. Cyanophyta and algae as an important component of biological crust from the Pustynia Błędowska Desert (Poland). Pol. Bot. J. 49, 93–100 (2004).
Google Scholar 
Thiet, R. K., Boerner, R. E. J., Nagy, M. & Jardine, R. The effect of biological soil crusts on throughput of rainwater and N into Lake Michigan sand dune soils. Plant Soil 278, 235–251 (2005).CAS 
Article 

Google Scholar 
Jentsch, A. & Beyschlag, W. Vegetation ecology of dry acidic grasslands in the lowland area of Central Europe. Flora 198, 3–25 (2003).Article 

Google Scholar 
Dümig, A. et al. Organic matter from biological soil crusts induces the initial formation of sandy temperate soils. CATENA 122, 196–208 (2014).Article 
CAS 

Google Scholar 
Chamizo, S., Cantón, Y., Rodríguez-Caballero, E. & Domingo, F. Biocrusts positively affect the soil water balance in semiarid ecosystems. Ecohydrology 9, 1208–1221 (2016).Article 

Google Scholar 
Couradeau, E. et al. Bacteria increase arid-land soil surface temperature through the production of sunscreens. Nat. Commun. 7, 10373 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Eldridge, D. J. & Greene, R. S. B. Microbiotic soil crusts: a review of their roles in soil and ecological processes in the rangelands of Australia. Aust. J. Soil Res. 32, 389–415 (1994).Article 

Google Scholar 
Elbert, W. et al. Contribution of cryptogamic covers to the global cycles of carbon and nitrogen. Nat. Geosci. 5, 459–462 (2012).CAS 
Article 

Google Scholar 
Delgado-Baquerizo, M., Maestre, F. T., Rodríguez, J. G. P. & Gallardo, A. Biological soil crusts promote N accumulation in response to dew events in dryland soils. Soil Biol. Biochem. 62, 22–27 (2013).CAS 
Article 

Google Scholar 
Meron, E. From patterns to function in living systems: dryland ecosystems as a case study. Annu. Rev. Condens. Matter Phys. 9, 79–103 (2018).Article 

Google Scholar 
Rietkerk, M. et al. Self-organization of vegetation in arid ecosystems. Am. Nat. 160, 524–530 (2002).PubMed 
Article 

Google Scholar 
Meron, E. Vegetation pattern formation: the mechanisms behind the forms. Phys. Today 72, 30–36 (2019).Article 

Google Scholar 
Gandhi, P., Iams, S., Bonetti, S. & Silber, M. in Dryland Ecohydrology 2nd edn (eds D’Odorico, P. et al.) 469–509 (Springer, 2019).Rietkerk, M., Dekker, S. C., de Ruiter, P. C. & van de Koppel, J. Self-organized patchiness and catastrophic shifts in ecosystems. Science 305, 1926–1929 (2004).CAS 
PubMed 
Article 

Google Scholar 
Lejeune, O., Tlidi, M. & Couteron, P. Localized vegetation patches: a self-organized response to resource scarcity. Phys. Rev. E 66, 010901 (2002).CAS 
Article 

Google Scholar 
Belyea, L. R. & Lancaster, J. Inferring landscape dynamics of bog pools from scaling relationships and spatial patterns. J. Ecol. 90, 223–234 (2002).Article 

Google Scholar 
Eppinga, M. B. et al. Regular surface patterning of peatlands: confronting theory with field data. Ecosystems 11, 520–536 (2008).CAS 
Article 

Google Scholar 
Hiemstra, C. A., Liston, G. E. & Reiners, W. A. Observing, modelling, and validating snow redistribution by wind in a Wyoming upper treeline landscape. Ecol. Modell. 197, 35–51 (2006).Article 

Google Scholar 
Crain, C. M. & Bertness, M. D. Community impacts of a tussock sedge: is ecosystem engineering important in benign habitats? Ecology 86, 2695–2704 (2005).Article 

Google Scholar 
Stanton, D. E., Armesto, J. J. & Hedin, L. O. Ecosystem properties self-organize in response to a directional fog-vegetation interaction. Ecology 95, 1203–1212 (2014).PubMed 
Article 

Google Scholar 
van de Koppel, J., van der Wal, D., Bakker, J. P. & Herman, P. M. Self-organization and vegetation collapse in salt marsh ecosystems. Am. Nat. 165, E1–E12 (2005).PubMed 
Article 

Google Scholar 
Rietkerk, M. & van de Koppel, J. Regular pattern formation in real ecosystems. Trends Ecol. Evol. 23, 169–175 (2008).PubMed 
Article 

Google Scholar 
Aguiar, M. R. & Sala, O. E. Patch structure, dynamics and implications for the functioning of arid ecosystems. Trends Ecol. Evol. 14, 273–277 (1999).CAS 
PubMed 
Article 

Google Scholar 
Bera, B. K., Tzuk, O., Bennett, J. J. & Meron, E. Linking spatial self-organization to community assembly and biodiversity. eLife 10, e73819 (2021).Garcia-Moya, E. & McKell, C. M. Contribution of shrubs to the nitrogen economy of a desert-wash plant community. Ecology 51, 81–88 (1970).Article 

Google Scholar 
Peters, D. P. C. et al. Disentangling complex landscapes: new insights into arid and semiarid system dynamics. Bioscience 56, 491–501 (2006).Article 

Google Scholar 
Okin, G. S. et al. Connectivity in dryland landscapes: shifting concepts of spatial interactions. Front. Ecol. Environ. 13, 20–27 (2015).Article 

Google Scholar 
Ludwig, J. A., Wilcox, B. P., Breshears, D. D., Tongway, D. J. & Imeson, A. C. Vegetation patches and runoff–erosion as interacting ecohydrological processes in semiarid landscapes. Ecology 86, 288–297 (2005).Article 

Google Scholar 
Fahnestock, J. T., Povirk, K. L. & Welker, J. M. Ecological significance of litter redistribution by wind and snow in Arctic landscapes. Ecography 23, 623–631 (2000).Article 

Google Scholar 
Schlesinger, W. H. et al. Biological feedbacks in global desertification. Science 247, 1043–1048 (1990).CAS 
PubMed 
Article 

Google Scholar 
Okin, G. S., Sala, O. E., Vivoni, E. R., Zhang, J. & Bhattachan, A. The interactive role of wind and water in functioning of drylands: what does the future hold? Bioscience 68, 670–677 (2018).Article 

Google Scholar 
Finzi, A. C. et al. Responses and feedbacks of coupled biogeochemical cycles to climate change: examples from terrestrial ecosystems. Front. Ecol. Environ. 9, 61–67 (2011).Article 

Google Scholar 
Yuan, Z. Y. et al. Experimental and observational studies find contrasting responses of soil nutrients to climate change. eLife 6, e23255 (2017).Delgado-Baquerizo, M. et al. Decoupling of soil nutrient cycles as a function of aridity in global drylands. Nature 502, 672–676 (2013).CAS 
PubMed 
Article 

Google Scholar 
Jiao, F., Shi, X. R., Han, F. P. & Yuan, Z. Y. Increasing aridity, temperature and soil pH induce soil C-N-P imbalance in grasslands. Sci. Rep. 6, 19601 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Wang, X.-G. et al. Changes in soil C:N:P stoichiometry along an aridity gradient in drylands of northern China. Geoderma 361, 114087 (2020).CAS 
Article 

Google Scholar 
Mulder, C. et al. Connecting the green and brown worlds: allometric and stoichiometric predictability of above- and below-ground networks. Adv. Ecol. Res. 49, 69–175 (2013).Article 

Google Scholar 
Yuan, Z. Y. & Chen, H. Y. H. Decoupling of nitrogen and phosphorus in terrestrial plants associated with global changes. Nat. Clim. Change 5, 465–469 (2015).CAS 
Article 

Google Scholar 
Rotenberg, E. & Yakir, D. Contribution of semi-arid forests to the climate system. Science 327, 451–454 (2010).CAS 
PubMed 
Article 

Google Scholar 
Banerjee, T., De Roo, F. & Mauder, M. Explaining the convector effect in canopy turbulence by means of large-eddy simulation. Hydrol. Earth Syst. Sci. 21, 2987–3000 (2017).Article 

Google Scholar 
Teuling, A. J. et al. Contrasting response of European forest and grassland energy exchange to heatwaves. Nat. Geosci. 3, 722–727 (2010).CAS 
Article 

Google Scholar 
Alkama, R. & Cescatti, A. Biophysical climate impacts of recent changes in global forest cover. Science 351, 600–604 (2016).CAS 
PubMed 
Article 

Google Scholar 
Zellweger, F. et al. Forest microclimate dynamics drive plant responses to warming. Science 368, 772–775 (2020).CAS 
PubMed 
Article 

Google Scholar 
Chen, C. et al. China and India lead in greening of the world through land-use management. Nat. Sustain. 2, 122–129 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
Huang, K. et al. Enhanced peak growth of global vegetation and its key mechanisms. Nat. Ecol. Evol. 2, 1897–1905 (2018).De Jong, R., Verbesselt, J., Schaepman, M. E. & De Bruin, S. Trend changes in global greening and browning: contribution of short-term trends to longer-term change. Glob. Change Biol. 18, 642–655 (2012).Article 

Google Scholar 
Pan, N. et al. Increasing global vegetation browning hidden in overall vegetation greening: insights from time-varying trends. Remote Sens. Environ. 214, 59–72 (2018).Article 

Google Scholar 
Mueller, T. et al. Human land-use practices lead to global long-term increases in photosynthetic capacity. Remote Sens. 6, 5717–5731 (2014).Article 

Google Scholar 
Beck, P. S. A. et al. Changes in forest productivity across Alaska consistent with biome shift. Ecol. Lett. 14, 373–379 (2011).PubMed 
Article 

Google Scholar 
Myers-Smith, I. H. et al. Complexity revealed in the greening of the Arctic. Nat. Clim. Change 10, 106–117 (2020).Article 

Google Scholar 
Aguirre-Gutiérrez, J. et al. Drier tropical forests are susceptible to functional changes in response to a long-term drought. Ecol. Lett. 22, 855–865 (2019).PubMed 
Article 

Google Scholar 
Peñuelas, J. et al. Shifting from a fertilization-dominated to a warming-dominated period. Nat. Ecol. Evol. 1, 1438–1445 (2017).PubMed 
Article 

Google Scholar 
Stocker, B. D. et al. Drought impacts on terrestrial primary production underestimated by satellite monitoring. Nat. Geosci. 12, 264–270 (2019).CAS 
Article 

Google Scholar 
Berg, A., Sheffield, J. & Milly, P. C. D. Divergent surface and total soil moisture projections under global warming. Geophys. Res. Lett. 44, 236–244 (2017).Article 

Google Scholar 
Davenport, D. W., Breshears, D. D., Wilcox, B. P. & Allen, C. D. Viewpoint: sustainability of piñon-juniper ecosystems – a unifying perspective of soil erosion thresholds. J. Range Manage. 51, 231 (1998).Article 

Google Scholar 
Briske, D. D., Fuhlendorf, S. D. & Smeins, F. E. A unified framework for assessment and application of ecological thresholds. Rangel. Ecol. Manage. 59, 225–236 (2006).Article 

Google Scholar 
Kayler, Z. E. et al. Experiments to confront the environmental extremes of climate change. Front. Ecol. Environ. 13, 219–225 (2015).Article 

Google Scholar 
Haase, P. et al. The next generation of site-based long-term ecological monitoring: linking essential biodiversity variables and ecosystem integrity. Sci. Total Environ. 613–614, 1376–1384 (2018).PubMed 
Article 
CAS 

Google Scholar 
Halbritter, A. H. et al. The handbook for standardised field and laboratory measurements in terrestrial climate‐change experiments and observational studies (ClimEx). Methods Ecol. Evol. 11, 22–37 (2020).Article 

Google Scholar 
De Boeck, H. J. et al. Global change experiments: challenges and opportunities. Bioscience 65, 922–931 (2015).Article 

Google Scholar 
Kreyling, J. et al. To replicate, or not to replicate – that is the question: how to tackle nonlinear responses in ecological experiments. Ecol. Lett. 21, 1629–1638 (2018).De Boeck, H. J. et al. Understanding ecosystems of the future will require more than realistic climate change experiments – a response to Korell et al. Glob. Change Biol. 26, e6–e7 (2020).Article 

Google Scholar 
Hanson, P. J. & Walker, A. P. Advancing global change biology through experimental manipulations: where have we been and where might we go? Glob. Change Biol. 26, 287–299 (2020).Article 

Google Scholar 
Paschalis, A. et al. Rainfall manipulation experiments as simulated by terrestrial biosphere models: where do we stand? Glob. Change Biol. 26, 3336–3355 (2020).Article 

Google Scholar 
Scheffer, M., Carpenter, S. R., Foley, J. A., Folke, C. & Walker, B. Catastrophic shifts in ecosystems. Nature 413, 591–596 (2001).CAS 
PubMed 
Article 

Google Scholar 
Diaz, S. et al. Assessing nature’s contributions to people. Science 359, 270–272 (2018).CAS 
PubMed 
Article 

Google Scholar 
Thonicke, K. et al. Advancing the understanding of adaptive capacity of social‐ecological systems to absorb climate extremes. Earths Future 8, e2019EF001221 (2020). More