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Climate change: Strategies for mitigation and adaptation

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    1. Climate change is accelerated by anthropogenic greenhouse gas emissions, and its effects are increasingly felt globally.

      Transitioning to renewable energy sources and enhancing carbon sinks are crucial steps in mitigating climate change.

      Adaptation to climate change requires a combination of strategies that foster resilience in local communities and ecosystems.

      Carbon quantification, modeling, and pricing are key areas that need to be further developed to address climate change.

      This review discusses the current status and prospects of global climate change, focusing on mitigation and adaptation strategies.

  • The sustainability of life on Earth is under increasing threat due to human-induced climate change. This perilous change in the Earth's climate is caused by increases in carbon dioxide and other greenhouse gases in the atmosphere, primarily due to emissions associated with burning fossil fuels. Over the next two to three decades, the effects of climate change, such as heatwaves, wildfires, droughts, storms, and floods, are expected to worsen, posing greater risks to human health and global stability. These trends call for the implementation of mitigation and adaptation strategies. Pollution and environmental degradation exacerbate existing problems and make people and nature more susceptible to the effects of climate change. In this review, we examine the current state of global climate change from different perspectives. We summarize evidence of climate change in Earth’s spheres, discuss emission pathways and drivers of climate change, and analyze the impact of climate change on environmental and human health. We also explore strategies for climate change mitigation and adaptation and highlight key challenges for reversing and adapting to global climate change.
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  • [1] Piguet, E. (2022). Linking climate change, environmental degradation, and migration: An update after 10 years. Wiley Interdiscip. Rev. Clim. Change 13, e746.

    View in Article Google Scholar

    [2] Lubchenco, J., Heather, T., and Eli, F. (2022). Accounting for nature on earth day 2022. The White House.

    View in Article Google Scholar

    [3] Wang, F., Harindintwali, J.D., Yuan, Z., et al. (2021). Technologies and perspectives for achieving carbon neutrality. The Innovation 2, 100180, 10.1016/j.xinn.2021.100180.

    View in Article Google Scholar

    [4] EPA (2020). Sources of greenhouse gas emissions. Environmental Protection Agency.

    View in Article Google Scholar

    [5] NOAA (2022). 2022 was world’s 6th-warmest year on record. Antarctic sea ice coverage melted to near-record lows. National Oceanic and Atmospheric Administration.

    View in Article Google Scholar

    [6] Canadell, J.G., Meyer, C.P., Cook, G.D., et al. (2021). Multi-decadal increase of forest burned area in Australia is linked to climate change. Nat. Commun. 12, 6921.

    View in Article CrossRef Google Scholar

    [7] Marlon, J.R., Bartlein, P.J., Gavin, D.G., et al. (2012). Long-term perspective on wildfires in the western USA. Proc. Natl. Acad. Sci. USA 109, E535−E543.

    View in Article CrossRef Google Scholar

    [8] Perkins, S. (2022). How much of the Earth’s ice is melting. New and old techniques combine to paint a sobering picture. Proc. Natl. Acad. Sci. USA 119, e2213762119.

    View in Article Google Scholar

    [9] Gudmundsson, L., Boulange, J., Do, H.X., et al. (2021). Globally observed trends in mean and extreme river flow attributed to climate change. Science 371, 1159−1162.

    View in Article CrossRef Google Scholar

    [10] Sun, Y., Zhang, X.B., Ding, Y.H., et al. (2022). Understanding human influence on climate change in China. Natl. Sci. Rev. 9, nwab113.

    View in Article CrossRef Google Scholar

    [11] Meza, I., Rezaei, E.E., Siebert, S., et al. (2021). Drought risk for agricultural systems in South Africa: Drivers, spatial patterns, and implications for drought risk management. Sci. Total Environ. 799, 149505.

    View in Article CrossRef Google Scholar

    [12] Roman-Palacios, C., and Wiens, J.J. (2020). Recent responses to climate change reveal the drivers of species extinction and survival. Proc. Natl. Acad. Sci. U.S.A. 117, 4211−4217.

    View in Article CrossRef Google Scholar

    [13] Ford, J., Zavaleta-Cortijo, C., Ainembabazi, T., et al. (2022). Interactions between climate and COVID-19. Lancet Planet. Health 6, E825−E833.

    View in Article CrossRef Google Scholar

    [14] Heavens, N.G., Ward, D.S., and Natalie, M.M. (2013). Studying and projecting climate change with earth system models. Nat. Educ. Knowl. 4, 4.

    View in Article Google Scholar

    [15] Voosen, P. (2018). Science insurgents plot a climate model driven by artificial intelligence. Science.

    View in Article Google Scholar

    [16] Shaikh Farzaneh, K., Aysin, D.-H., Michael, H., and Elnaz, T. (2021). Can public awareness, knowledge and engagement improve climate change adaptation policies? Discover Sustain. 2.

    View in Article Google Scholar

    [17] Prakash, A., and Bernauer, T. (2020). Survey research in environmental politics: why it is important and what the challenges are introduction. Env. Polit. 29, 1127−1134.

    View in Article CrossRef Google Scholar

    [18] Schmid, N., Beaton, C., Kern, F., et al. (2021). Elite vs. mass politics of sustainability transitions. Environ. Innov. Soc. Transit. 41, 67−70.

    View in Article Google Scholar

    [19] UNCC (2021). The Paris agreement What is the Paris agreement? United Nations Climate Change.

    View in Article Google Scholar

    [20] Fuhr, H. (2021). The rise of the Global South and the rise in carbon emissions. Third World Q. 42, 2724−2746.

    View in Article CrossRef Google Scholar

    [21] Jin, Y., Hu, S., Zhang, Z., et al. (2022). The path to carbon neutrality in China: a paradigm shift in fossil resource utilization. Res. Chem. Mater. 1, 129−135.

    View in Article Google Scholar

    [22] Marquardt, J., Fünfgeld, A., and Elsässer, J.P. (2023). Institutionalizing climate change mitigation in the Global South: current trends and future research. Earth Syst. Gov. 15, 100163.

    View in Article CrossRef Google Scholar

    [23] IPCC (2022). Climate change 2022: Mitigation of climate change. Mitigation pathways compatible with long-term goals. Intergovernmental Panel on Climate Change.

    View in Article Google Scholar

    [24] Ratwatte, P., Wehling, H., Phalkey, R., and Weston, D. (2023). Prioritising climate change mitigation behaviours and exploring public health co-benefits: a delphi study. Int. J. Environ. Res. Public Health 20, 5094.

    View in Article CrossRef Google Scholar

    [25] HERRING, D., and LINDSEY, R. (2020). Hasn't earth warmed and cooled naturally throughout history? NOAA Climate.gov.

    View in Article Google Scholar

    [26] Forster, P., V. Ramaswamy, P. Artaxo, et al. (2007). Changes in atmospheric constituents and in radiative forcing. (Cambridge University Press)L.

    View in Article Google Scholar

    [27] EPA (2023). Causes of climate change. United States Environmental Protection Agency.

    View in Article Google Scholar

    [28] Friedlingstein, P., O'Sullivan, M., Jones, M.W., et al. (2022). Global carbon budget 2022. Earth Syst. Sci. Data 14, 4811−4900.

    View in Article CrossRef Google Scholar

    [29] Liu, Z., Deng, Z., Davis, S., and Ciais, P. (2023). Monitoring global carbon emissions in 2022. Nat. Rev. Earth Environ. 4, 205−206.

    View in Article CrossRef Google Scholar

    [30] Cui, C., Guan, D., Wang, D., et al. (2022). Global mitigation efforts cannot neglect emerging emitters. Natl. Sci. Rev. 9, nwac223.

    View in Article CrossRef Google Scholar

    [31] Keeling, C.D., Piper, S.C., Bacastow, R.B., et al. (2001). Exchanges of atmospheric CO2 and 13CO2 with the terrestrial biosphere and oceans from 1978 to 2000. Global Aspects. UC San Diego: Scripps Institution of Oceanography 88.

    View in Article Google Scholar

    [32] Lüthi, D., Le Floch, M., Bereiter, B., et al. (2008). High-resolution carbon dioxide concentration record 650,000–800,000 years before present. Nature 453, 379−382.

    View in Article CrossRef Google Scholar

    [33] Waters, C.N., Zalasiewicz, J., Summerhayes, C., et al. (2016). The Anthropocene is functionally and stratigraphically distinct from the Holocene. Science 351, aad2622.

    View in Article CrossRef Google Scholar

    [34] Steffen, W., Rockstrom, J., Richardson, K., et al. (2018). Trajectories of the Earth System in the Anthropocene. Proc. Natl. Acad. Sci. U.S.A. 115, 8252−8259.

    View in Article CrossRef Google Scholar

    [35] Crutzen, P.J. (2002). Geology of mankind. Nature 415, 23−23.

    View in Article CrossRef Google Scholar

    [36] Cowie, R.H., Bouchet, P., and Fontaine, B. (2022). The Sixth Mass Extinction: fact, fiction or speculation. Biol. Rev. Camb. Philos. Soc. 97, 640−663.

    View in Article CrossRef Google Scholar

    [37] Isbell, F., Balvanera, P., Mori, A.S., et al. (2023). Expert perspectives on global biodiversity loss and its drivers and impacts on people. Front. Ecol. Environ. 21, 94−103.

    View in Article CrossRef Google Scholar

    [38] Gulev, S.K., Thorne, P.W., Ahn, J., et al. (2021). In climate change 2021: The physical science basis. Contribution of working group I to the sixth assessment report of the Intergovernmental Panel on Climate Change. In changing state of the climate system, Masson-Delmott, P.Z. V., A. Pirani, et al., eds. (Cambridge University Press), 287–422.

    View in Article Google Scholar

    [39] Jungclaus, J.H., Bard, E., Baroni, M., et al. (2017). The PMIP4 contribution to CMIP6 – Part 3: the last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations. Geosci. Model Dev. 10, 4005−4033.

    View in Article CrossRef Google Scholar

    [40] Goldblatt, C., and Zahnle, K.J. (2011). Faint young sun paradox remains. Nature 474, E3−E4.

    View in Article Google Scholar

    [41] Feulner, G. (2012). The faint young sun problem. Rev. Geophys. 50, RG2006.

    View in Article Google Scholar

    [42] Hay, W.W. (1996). Tectonics and climate. Geol. Rundsch. 85, 409−437.

    View in Article CrossRef Google Scholar

    [43] Smith, A.G. (1999). Tectonic boundary conditions for climate reconstructions. In Oxford Monographs on geology and geophysics, T.J. CROWLEY, and K.C. BURKE, eds. (Oxford University Press), pp. 599-606.

    View in Article Google Scholar

    [44] Ruddiman, W.F. (2012). Tectonic uplift and climate change (Springer; Softcover reprint of the original 1st ed. 1997 edition)L.

    View in Article Google Scholar

    [45] Marshall, L.R., Maters, E.C., Schmidt, A., et al. (2022). Volcanic effects on climate: recent advances and future avenues. Bull. Volcanol. 84, 54.

    View in Article CrossRef Google Scholar

    [46] Robock, A. (2000). Volcanic eruptions and climate. Rev. Geophys. 38, 191−219.

    View in Article CrossRef Google Scholar

    [47] Hays, J.D., Imbrie, J., and Shackleton, N.J. (1976). Variations in the earth's orbit: pacemaker of the ice ages. Science 194, 1121−1132.

    View in Article CrossRef Google Scholar

    [48] Laskar, J., Robutel, P., Joutel, F., et al. (2004). A long-term numerical solution for the insolation quantities of the earth. Astron. Astrophys. 428, 261−285.

    View in Article CrossRef Google Scholar

    [49] Zachos, J., Pagani, M., Sloan, L., et al. (2001). Trends, rhythms, and aberrations in global climate 65 Ma to present. Science 292, 686−693.

    View in Article CrossRef Google Scholar

    [50] Li, J., and Fang, X. (1999). Uplift of the Tibetan Plateau and environmental changes. Chin. Sci. Bull. 44, 2117−2124.

    View in Article CrossRef Google Scholar

    [51] Wu, F., Fang, X., Yang, Y., et al. (2022). Reorganization of Asian climate in relation to Tibetan Plateau uplift. Nat. Rev. Earth Environ. 3, 684−700.

    View in Article CrossRef Google Scholar

    [52] Ruddiman, W.F., and Kutzbach, J.E. (1991). Plateau uplift and climatic change. Sci. Am. 264, 66−72.

    View in Article Google Scholar

    [53] Hollis, C.J., Dunkley Jones, T., Anagnostou, E., et al. (2019). The DeepMIP contribution to PMIP4: methodologies for selection, compilation and analysis of latest Paleocene and early Eocene climate proxy data, incorporating version 0.1 of the DeepMIP database. Geosci. Model Dev. 12, 3149-3206.

    View in Article Google Scholar

    [54] Cox, G.M., Halverson, G.P., Stevenson, R.K., et al. (2016). Continental flood basalt weathering as a trigger for Neoproterozoic Snowball Earth. Earth Planet. Sci. Lett. 446, 89−99.

    View in Article CrossRef Google Scholar

    [55] Brantley, S.L., Shaughnessy, A., Lebedeva, M.I., and Balashov, V.N. (2023). How temperature-dependent silicate weathering acts as Earth's geological thermostat. Science 379, 382−389.

    View in Article CrossRef Google Scholar

    [56] Dessert, C., Dupré, B., François, L.M., et al. (2001). Erosion of Deccan Traps determined by river geochemistry: impact on the global climate and the 87Sr/86Sr ratio of seawater. Earth Planet. Sci. Lett. 188, 459−474.

    View in Article CrossRef 87Sr/86Sr ratio of seawater" target="_blank">Google Scholar

    [57] Black, B.A., Neely, R.R., Lamarque, J.-F., et al. (2018). Systemic swings in end-Permian climate from Siberian Traps carbon and sulfur outgassing. Nat. Geosci. 11, 949−954.

    View in Article CrossRef Google Scholar

    [58] Burgess, S.D., and Bowring, S.A. (2015). High-precision geochronology confirms voluminous magmatism before, during, and after Earth’s most severe extinction. Sci. Adv. 1, e1500470.

    View in Article CrossRef Google Scholar

    [59] Hoffman, P.F. (1999). The break-up of Rodinia, birth of Gondwana, true polar wander and the snowball Earth. J. Afr. Earth Sci. 28, 17−33.

    View in Article CrossRef Google Scholar

    [60] Claussen, M. (2009). Late Quaternary vegetation-climate feedbacks. Clim. Past 5, 203−216.

    View in Article CrossRef Google Scholar

    [61] Curry, J.A., Schramm, J.L., and Ebert, E.E. (1995). Sea ice-albedo climate feedback mechanism. J. Clim. 8, 240−247.

    View in Article CrossRef Google Scholar

    [62] Goosse, H., Kay, J.E., Armour, K.C., et al. (2018). Quantifying climate feedbacks in polar regions. Nat. Commun. 9, 1919.

    View in Article CrossRef Google Scholar

    [63] Pepin, N., Bradley, R.S., Diaz, H.F., et al. (2015). Elevation-dependent warming in mountain regions of the world. Nat. Clim. Change 5, 424−430.

    View in Article CrossRef Google Scholar

    [64] Yang, F., Kumar, A., Wang, W., et al. (2001). Snow–albedo feedback and seasonal climate variability over North America. J. Clim. 14, 4245−4248.

    View in Article CrossRef Google Scholar

    [65] Cess, R.D. (2005). Water vapor feedback in climate models. Science 310, 795−796.

    View in Article CrossRef Google Scholar

    [66] Dessler, A.E., Zhang, Z., and Yang, P. (2008). Water-vapor climate feedback inferred from climate fluctuations, 2003–2008. Geophys. Res. Lett. 35, L20704.

    View in Article CrossRef Google Scholar

    [67] Schädel, C., Bader, M.K.F., Schuur, E.A.G., et al. (2016). Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils. Nat. Clim. Change 6, 950−953.

    View in Article CrossRef Google Scholar

    [68] Dean, J.F., Middelburg, J.J., Röckmann, T., et al. (2018). Methane feedbacks to the global climate system in a warmer world. Rev. Geophys. 56, 207−250.

    View in Article CrossRef Google Scholar

    [69] Walker, X.J., Baltzer, J.L., Cumming, S.G., et al. (2019). Increasing wildfires threaten historic carbon sink of boreal forest soils. Nature 572, 520−523.

    View in Article CrossRef Google Scholar

    [70] Mack, M.C., Bret-Harte, M.S., Hollingsworth, T.N., et al. (2011). Carbon loss from an unprecedented Arctic tundra wildfire. Nature 475, 489−492.

    View in Article CrossRef Google Scholar

    [71] Moritz, M.A., Parisien, M.-A., Batllori, E., et al. (2012). Climate change and disruptions to global fire activity. Ecosphere 3, 49.

    View in Article Google Scholar

    [72] Liu, Z., Notaro, M., Kutzbach, J., and Liu, N. (2006). Assessing global vegetation–climate feedbacks from observations. J. Clim. 19, 787−814.

    View in Article CrossRef Google Scholar

    [73] Turner, S.K. (2018). Constraints on the onset duration of the Paleocene–Eocene Thermal Maximum. Philos. Trans. R. Soc., A 376, 20170082.

    View in Article CrossRef Google Scholar

    [74] Gutjahr, M., Ridgwell, A., Sexton, P.F., et al. (2017). Very large release of mostly volcanic carbon during the Palaeocene-Eocene Thermal Maximum. Nature 548, 573−577.

    View in Article CrossRef Google Scholar

    [75] Zeebe, R.E., Ridgwell, A., and Zachos, J.C. (2016). Anthropogenic carbon release rate unprecedented during the past 66 million years. Nat. Geosci. 9, 325−329.

    View in Article CrossRef Google Scholar

    [76] Anagnostou, E., John, E.H., Babila, T.L., et al. (2020). Proxy evidence for state-dependence of climate sensitivity in the Eocene greenhouse. Nat. Commun. 11, 4436.

    View in Article CrossRef Google Scholar

    [77] Cheng, H., Zhang, H., Spotl, C., et al. (2020). Timing and structure of the Younger Dryas event and its underlying climate dynamics. Proc. Natl. Acad. Sci. U.S.A. 117, 23408−23417.

    View in Article CrossRef Google Scholar

    [78] Condron, A., and Winsor, P. (2012). Meltwater routing and the Younger Dryas. Proc. Natl. Acad. Sci. U.S.A. 109, 19928−19933.

    View in Article CrossRef Google Scholar

    [79] Carlson, A. (2013). The Younger Dryas climate event. In The Encyclopedia of Quaternary Science, E. S.A., ed. (Elsevier), 126-134.

    View in Article Google Scholar

    [80] Ezer, T. (2013). Sea level rise, spatially uneven and temporally unsteady: Why the U. S. East Coast, the global tide gauge record, and the global altimeter data show different trends. Geophys. Res. Lett. 40, 5439−5444.

    View in Article Google Scholar

    [81] Caesar, L., Rahmstorf, S., Robinson, A.V., et al. (2018). Observed fingerprint of a weakening Atlantic Ocean overturning circulation. Nature 556, 191−196.

    View in Article CrossRef Google Scholar

    [82] Lee, J.-Y., Marotzke, J., Bala, G., et al. (2021). Scenario-based projections and near-term information. In climate change 2021: the physical science basis. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change. In Future Global Climate, Masson-Delmott, P.Z. V., A. Pirani, et al., eds. (Cambridge University Press), 553–672.

    View in Article Google Scholar

    [83] Manabe, S., and Wetherald, R.T. (1967). Thermal equilibrium of the atmosphere with a given distribution of relative humidity. J. Atmos. Sci 24, 241−259.

    View in Article CrossRef Google Scholar

    [84] Hasselmann, K. (1976). Stochastic climate models: Part I. Theory. Tellus A: Dynamic Meteorology and Oceanography.

    View in Article Google Scholar

    [85] Castelvecchi, D., and Gaind, N. (2021). Climate modellers and theorist of complex systems share physics Nobel. Nature, 598, 246−247.

    View in Article Google Scholar

    [86] IPCC (2021). Climate change 2021: The physical science basis. Contribution of working group I to the sixth assessment report of the intergove. Intergovernmental Panel on Climate Change.

    View in Article Google Scholar

    [87] Graedel, T.E., and Crutzen, P.J. (1993). Atmospheric change: an earth system perspective Nature, 367, 695.

    View in Article Google Scholar

    [88] Isaksen, I.S.A., Granier, C., Myhre, G., et al. (2009). Atmospheric composition change: climate–chemistry interactions. Atmos. Environ. 43, 5138−5192.

    View in Article CrossRef Google Scholar

    [89] Zittis, G., Almazroui, M., Alpert, P., et al. (2022). Climate change and weather extremes in the Eastern Mediterranean and Middle East. Rev. Geophys. 60, e2021RG000762.

    View in Article Google Scholar

    [90] Diaz, J.H. (2013). Recognizing and reducing the threats to human health and environmental ecosystems from stratospheric ozone depletion. In Climate Vulnerability, R.A. Pielke, ed. (Academic Press), 17-38.

    View in Article Google Scholar

    [91] Crutzen, P.J. (1970). The influence of nitrogen oxides on the atmospheric ozone content. Q. J. R. Meteorol. Soc. 96, 320−325.

    View in Article CrossRef Google Scholar

    [92] Molina, M.J., and Rowland, F.S. (1974). Stratospheric sink for chlorofluoromethanes: chlorine atom-catalysed destruction of ozone. Nature 249, 810−812.

    View in Article CrossRef Google Scholar

    [93] Barnes, P.W., Williamson, C.E., Lucas, R.M., et al. (2019). Ozone depletion, ultraviolet radiation, climate change and prospects for a sustainable future. Nat. Sustain. 2, 569−579.

    View in Article CrossRef Google Scholar

    [94] Feng, Z., Xu, Y., Kobayashi, K., et al. (2022). Ozone pollution threatens the production of major staple crops in East Asia. Nat. Food 3, 47−56.

    View in Article CrossRef Google Scholar

    [95] Mukherjee, A., and Agrawal, M. (2017). World air particulate matter: Sources, distribution and health effects. Environ. Chem. Lett. 15, 283−309.

    View in Article CrossRef Google Scholar

    [96] EPA (2022). Climate change impacts on air quality. United States Environmental Protection Agency.

    View in Article Google Scholar

    [97] Brasseur, G.P. (2009). Implications of climate change for air quality. World Meteorological Organization (WMO) Bulletin 58, 10.

    View in Article Google Scholar

    [98] Pinder, R.W., Davidson, E.A., Goodale, C.L., et al. (2012). Climate change impacts of US reactive nitrogen. Proc. Natl. Acad. Sci. USA 109, 7671−7675.

    View in Article CrossRef Google Scholar

    [99] Shi, Y., Cui, S., Ju, X., et al. (2015). Impacts of reactive nitrogen on climate change in China. Sci. Rep. 5, 8118.

    View in Article CrossRef Google Scholar

    [100] Wang, C., Jeong, G.R., and Mahowald, N. (2009). Particulate absorption of solar radiation: Anthropogenic aerosols vs. dust. Atmos. Chem. Phys. 9, 3935−3945.

    View in Article CrossRef Google Scholar

    [101] de Wit, C.A., Vorkamp, K., and Muir, D. (2022). Influence of climate change on persistent organic pollutants and chemicals of emerging concern in the Arctic: state of knowledge and recommendations for future research. Environ. Sci.: Processes Impacts 24, 1530−1543.

    View in Article CrossRef Google Scholar

    [102] Friedlingstein, P., Jones, M., O'Sullivan, M., et al. (2021). Global carbon budget 2021. Earth Syst. Sci. Data 14, 1917−2005.

    View in Article Google Scholar

    [103] Lal, R. (2008). Carbon sequestration. Philos. Trans. R. Soc., B 363, 815−830.

    View in Article CrossRef Google Scholar

    [104] Lehmann, J., Hansel, C.M., Kaiser, C., et al. (2020). Persistence of soil organic carbon caused by functional complexity. Nat. Geosci. 13, 529−534.

    View in Article CrossRef Google Scholar

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

    View in Article CrossRef Google Scholar

    [106] Rengel, Z. (2011). Soil pH, soil health and climate change. In soil health and climate change, B.P. Singh, A.L. Cowie, and K.Y. Chan, eds. (Springer Berlin Heidelberg), 69-85.

    View in Article Google Scholar

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

    View in Article CrossRef Google Scholar

    [108] Wickland, K.P., and Neff, J.C. (2008). Decomposition of soil organic matter from boreal black spruce forest: environmental and chemical controls. Biogeochemistry 87, 29−47.

    View in Article CrossRef Google Scholar

    [109] Schuur, E.A.G., McGuire, A.D., Schädel, C., et al. (2015). Climate change and the permafrost carbon feedback. Nature 520, 171−179.

    View in Article CrossRef Google Scholar

    [110] Melillo, J.M., Frey, S.D., DeAngelis, K.M., et al. (2017). Long-term pattern and magnitude of soil carbon feedback to the climate system in a warming world. Science 358, 101−104.

    View in Article CrossRef Google Scholar

    [111] Zhang, J., Kuang, L., Mou, Z., et al. (2022). Ten years of warming increased plant-derived carbon accumulation in an East Asian monsoon forest. Plant Soil 481, 349−365.

    View in Article CrossRef Google Scholar

    [112] Verbrigghe, N., Leblans, N.I.W., Sigurdsson, B.D., et al. (2022). Soil carbon loss in warmed subarctic grasslands is rapid and restricted to topsoil. Biogeosciences 19, 3381−3393.

    View in Article CrossRef Google Scholar

    [113] Soong, J.L., Castanha, C., Pries, C.E.H., et al. (2021). Five years of whole-soil warming led to loss of subsoil carbon stocks and increased CO2 efflux. Science Adv. 7, eabd1343.

    View in Article CrossRef Google Scholar

    [114] Jia, J., Cao, Z., Liu, C., et al. (2019). Climate warming alters subsoil but not topsoil carbon dynamics in alpine grassland. Global Change Biol. 25, 4383−4393.

    View in Article CrossRef Google Scholar

    [115] Wang, H., Liu, H., Cao, G., et al. (2020). Alpine grassland plants grow earlier and faster but biomass remains unchanged over 35 years of climate change. Ecol. Lett. 23, 701−710.

    View in Article CrossRef Google Scholar

    [116] Feng, X., Simpson, A.J., Wilson, K.P., et al. (2008). Increased cuticular carbon sequestration and lignin oxidation in response to soil warming. Nat. Geosci. 1, 836−839.

    View in Article CrossRef Google Scholar

    [117] Fenner, N., and Freeman, C. (2011). Drought-induced carbon loss in peatlands. Nat. Geosci. 4, 895−900.

    View in Article CrossRef Google Scholar

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

    View in Article CrossRef Google Scholar

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

    View in Article Google Scholar

    [120] Fierer, N., Colman, B.P., Schimel, J.P., and Jackson, R.B. (2006). Predicting the temperature dependence of microbial respiration in soil: a continental-scale analysis. Global Biogeochem. Cy. 20, 1−10.

    View in Article Google Scholar

    [121] Terrer, C., Jackson, R.B., Prentice, I.C., et al. (2019). Nitrogen and phosphorus constrain the CO2 fertilization of global plant biomass. Nat. Clim. Change 9, 684−689.

    View in Article CrossRef Google Scholar

    [122] Vitousek, P.M., Porder, S., Houlton, B.Z., and Chadwick, O.A. (2010). Terrestrial phosphorus limitation: Mechanisms, implications, and nitrogen-phosphorus interactions. Ecol Appl 20, 5−15.

    View in Article CrossRef Google Scholar

    [123] Bauters, M., Janssens, I.A., Wasner, D., et al. (2022). Increasing calcium scarcity along Afrotropical forest succession. Nat. Ecol. Evol. 6, 1122−1131.

    View in Article CrossRef Google Scholar

    [124] Batterman, S.A., Hedin, L.O., van Breugel, M., et al. (2013). Key role of symbiotic dinitrogen fixation in tropical forest secondary succession. Nature 502, 224−227.

    View in Article CrossRef Google Scholar

    [125] Craine, J.M., Morrow, C., and Fierer, N. (2007). Microbial nitrogen limitation increases decomposition. Ecology 88, 2105−2113.

    View in Article CrossRef Google Scholar

    [126] Meyer, N., Welp, G., Rodionov, A., et al. (2018). Nitrogen and phosphorus supply controls soil organic carbon mineralization in tropical topsoil and subsoil. Soil Biol. Biochem. 119, 152−161.

    View in Article CrossRef Google Scholar

    [127] Wrage, N., Velthof, G.L., van Beusichem, M.L., and Oenema, O. (2001). Role of nitrifier denitrification in the production of nitrous oxide. Soil Biol. Biochem. 33, 1723−1732.

    View in Article CrossRef Google Scholar

    [128] Griffis, T.J., Chen, Z., Baker, J.M., et al. (2017). Nitrous oxide emissions are enhanced in a warmer and wetter world. Proc. Natl. Acad. Sci. USA 114, 12081−12085.

    View in Article CrossRef Google Scholar

    [129] Stocker, B.D., Roth, R., Joos, F., et al. (2013). Multiple greenhouse-gas feedbacks from the land biosphere under future climate change scenarios. Nat. Clim. Change 3, 666−672.

    View in Article CrossRef Google Scholar

    [130] Moss, B., Kosten, S., Meerhoff, M., et al. (2011). Allied attack: climate change and nutrient pollution. Inland Waters 18, 101−105.

    View in Article Google Scholar

    [131] Jeppesen, E., Kronvang, B., Meerhoff, M., et al. (2009). Climate change effects on runoff, catchment phosphorus loading and lake ecological state, and potential adaptations. J. Environ. Qual. 38, 1930−1941.

    View in Article CrossRef Google Scholar

    [132] Steinhäuser, K.G., Von Gleich, A., Große Ophoff, M., and Körner, W. (2022). The necessity of a global binding framework for sustainable management of chemicals and materials—interactions with climate and biodiversity. Sustainable Chem. 3, 205−237.

    View in Article CrossRef Google Scholar

    [133] Sigmund, G., Ågerstrand, M., Antonelli, A., et al. (2023). Addressing chemical pollution in biodiversity research. Global Change Biol.

    View in Article Google Scholar

    [134] Ma, C.-S., Zhang, W., Peng, Y., et al. (2021). Climate warming promotes pesticide resistance through expanding overwintering range of a global pest. Nat. Commun. 12, 5351.

    View in Article CrossRef Google Scholar

    [135] Jansson, J.K., and Wu, R. (2022). Soil viral diversity, ecology and climate change. Nat. Rev. Microbiol. 21, 296−311.

    View in Article Google Scholar

    [136] Nielsen, U.N., Wall, D.H., and Six, J. (2015). Soil biodiversity and the environment. Annu. Rev. Env. Resour. 40, 63−90.

    View in Article CrossRef Google Scholar

    [137] Cavicchioli, R., Ripple, W.J., Timmis, K.N., et al. (2019). Scientists' warning to humanity: Microorganisms and climate change. Nat. Rev. Microbiol. 17, 569−586.

    View in Article CrossRef Google Scholar

    [138] Jansson, J.K., and Hofmockel, K.S. (2020). Soil microbiomes and climate change. Nat. Rev. Microbiol. 18, 35−46.

    View in Article CrossRef Google Scholar

    [139] Spence, A.R., and Tingley, M.W. (2020). The challenge of novel abiotic conditions for species undergoing climate‐induced range shifts. Ecography 43, 1571−1590.

    View in Article CrossRef Google Scholar

    [140] Kästner, M., Miltner, A., Thiele-Bruhn, S., and Liang, C. (2021). Microbial necromass in soils—linking microbes to soil processes and carbon turnover. Front. Environ. Sci. 9.

    View in Article Google Scholar

    [141] Nations, U. (2020). UN world water development report 2020.

    View in Article Google Scholar

    [142] WMO (2020). World meteorological day focus on climate change and water. WMO.

    View in Article Google Scholar

    [143] Srivastava, S., Mehta, L., and Naess, L.O. (2022). Increased attention to water is key to adaptation. Nat. Clim. Change 12, 113−114.

    View in Article CrossRef Google Scholar

    [144] Woolway, R.I., Kraemer, B.M., Lenters, J.D., et al. (2020). Global lake responses to climate change. Nat. Rev. Earth Environ. 1, 388−403.

    View in Article CrossRef Google Scholar

    [145] Grossiord, C., Buckley, T.N., Cernusak, L.A., et al. (2020). Plant responses to rising vapor pressure deficit. New Phytol. 226, 1550−1566.

    View in Article CrossRef Google Scholar

    [146] Pokhrel, Y., Felfelani, F., Satoh, Y., et al. (2021). Global terrestrial water storage and drought severity under climate change. Nat. Clim. Change 11, 226−233.

    View in Article CrossRef Google Scholar

    [147] Piao, S., Ciais, P., Huang, Y., et al. (2010). The impacts of climate change on water resources and agriculture in China. Nature 467, 43−51.

    View in Article CrossRef Google Scholar

    [148] Dai, A. (2013). Increasing drought under global warming in observations and models. Nat. Clim. Change 3, 52−58.

    View in Article CrossRef Google Scholar

    [149] Trenberth, K.E. (2011). Changes in precipitation with climate change. Clim. Res. 47, 123−138.

    View in Article CrossRef Google Scholar

    [150] HU, Y.L., JI, G.X., LI, J.H., et al. (2022). Interpretation of IPCC AR6: terrestrial and freshwater ecosystems and their services. Clim. Chang. Res. 18, 395−404.

    View in Article Google Scholar

    [151] Nations, U. (2022). The Sustainable Development Goals Report 2022. United Nations Statistics Divisi.

    View in Article Google Scholar

    [152] Orth, R., and Destouni, G. (2018). Drought reduces blue-water fluxes more strongly than green-water fluxes in Europe. Nat. Commun. 9, 3602.

    View in Article CrossRef Google Scholar

    [153] Li, X., Long, D., Scanlon, B.R., et al. (2022). Climate change threatens terrestrial water storage over the Tibetan Plateau. Nat. Clim. Change 12, 801−807.

    View in Article CrossRef Google Scholar

    [154] Mengistu, D., Bewket, W., Dosio, A., and Panitz, H.J. (2021). Climate change impacts on water resources in the Upper Blue Nile (Abay) River Basin, Ethiopia. J. Hydrol. 592, 125614.

    View in Article CrossRef Google Scholar

    [155] Anurag, H., and Ng, G.H.C. (2022). Assessing future climate change impacts on groundwater recharge in Minnesota. J. Hydrol. 612, 128112.

    View in Article CrossRef Google Scholar

    [156] Øygarden, L., Deelstra, J., Lagzdins, A., et al. (2014). Climate change and the potential effects on runoff and nitrogen losses in the Nordic–Baltic region. Agric., Ecosyst. Environ. 198, 114−126.

    View in Article CrossRef Google Scholar

    [157] Kløve, B., Ala-Aho, P., Bertrand, G., et al. (2014). Climate change impacts on groundwater and dependent ecosystems. J. Hydrol. 518, 250−266.

    View in Article CrossRef Google Scholar

    [158] Wang, J.W., Huang, J.T., Fang, T., et al. (2021). Relationship of underground water level and climate in Northwest China’s inland basins under the global climate change: Taking the Golmud River Catchment as an example. China Geol. 4, 402−409.

    View in Article Google Scholar

    [159] Hoegh-Guldberg, O., Mumby, P.J., Hooten, A.J., et al. (2007). Coral reefs under rapid climate change and ocean acidification. Science 318, 1737−1742.

    View in Article CrossRef Google Scholar

    [160] Orton, J.H. (1920). Sea-temperature, breeding and distribution in marine animals. J. Mar. Biol. Assoc. U. K. 12, 339−366.

    View in Article CrossRef Google Scholar

    [161] Huisman, J., Codd, G.A., Paerl, H.W., et al. (2018). Cyanobacterial blooms. Nat.Rev. Microbiol. 16, 471−483.

    View in Article CrossRef Google Scholar

    [162] Trainer, V.L., Moore, S.K., Hallegraeff, G., et al. (2020). Pelagic harmful algal blooms and climate change: Lessons from nature’s experiments with extremes. Harmful Algae 91, 101591.

    View in Article CrossRef Google Scholar

    [163] Woolway, R.I., Jennings, E., Shatwell, T., et al. (2021). Lake heatwaves under climate change. Nature 589, 402−407.

    View in Article CrossRef Google Scholar

    [164] Ilarri, M., Souza, A.T., Dias, E., and Antunes, C. (2022). Influence of climate change and extreme weather events on an estuarine fish community. Sci. Total Environ. 827, 154190.

    View in Article CrossRef Google Scholar

    [165] Xi, Y., Peng, S., Ciais, P., and Chen, Y. (2021). Future impacts of climate change on inland Ramsar wetlands. Nat. Clim. Change 11, 45−51.

    View in Article CrossRef Google Scholar

    [166] Knapp, A.K., Ciais, P., and Smith, M.D. (2017). Reconciling inconsistencies in precipitation–productivity relationships: implications for climate change. New Phytol. 214, 41−47.

    View in Article CrossRef Google Scholar

    [167] Westerling, A.L., and Bryant, B.P. (2008). Climate change and wildfire in California. Clim. Change 87, 231−249.

    View in Article CrossRef Google Scholar

    [168] Mimura, N. (2013). Sea-level rise caused by climate change and its implications for society. Proc. Jpn. Acad. Ser. B Phys. Biol. Sci. 89, 281−301.

    View in Article CrossRef Google Scholar

    [169] Mukherji, A. (2022). Climate change: put water at the heart of solutions. Nature 605, 195.

    View in Article CrossRef Google Scholar

    [170] Vitasse, Y., Ursenbacher, S., Klein, G., et al. (2021). Phenological and elevational shifts of plants, animals and fungi under climate change in the European Alps. Biol. Rev. 96, 1816−1835.

    View in Article CrossRef Google Scholar

    [171] Berner, L.T., and Goetz, S.J. (2022). Satellite observations document trends consistent with a boreal forest biome shift. Global Change Biol. 28, 3275−3292.

    View in Article CrossRef Google Scholar

    [172] Piao, S., Liu, Q., Chen, A., et al. (2019). Plant phenology and global climate change: Current progresses and challenges. Global Change Biol. 25, 1922−1940.

    View in Article CrossRef Google Scholar

    [173] Stöcklin, J., and Körner, C. (1999). Recruitment and mortality of pinus sylvestris near the nordic treeline: the role of climatic change and herbivory. Ecol. Bull. 168-177.

    View in Article Google Scholar

    [174] Mamet, S.D., Brown, C.D., Trant, A.J., and Laroque, C.P. (2019). Shifting global Larix distributions: northern expansion and southern retraction as species respond to changing climate. J. Biogeogr. 46, 30−44.

    View in Article CrossRef Google Scholar

    [175] Beck, P.S.A., Juday, G.P., Alix, C., et al. (2011). Changes in forest productivity across Alaska consistent with biome shift. Ecol. Lett 14, 373−379.

    View in Article CrossRef Google Scholar

    [176] Jezkova, T., and Wiens, J.J. (2016). Rates of change in climatic niches in plant and animal populations are much slower than projected climate change. Proc. R. Soc. B 283, 20162104.

    View in Article CrossRef Google Scholar

    [177] Cleland, E.E., Chuine, I., Menzel, A., et al. (2007). Shifting plant phenology in response to global change. Trends Ecol. Evol. 22, 357−365.

    View in Article CrossRef Google Scholar

    [178] MENZEL, A., SPARKS, T.H., ESTRELLA, N., et al. (2006). European phenological response to climate change matches the warming pattern. Global Change Biol. 12, 1969−1976.

    View in Article CrossRef Google Scholar

    [179] Gill, A.L., Gallinat, A.S., Sanders-DeMott, R., et al. (2015). Changes in autumn senescence in northern hemisphere deciduous trees: a meta-analysis of autumn phenology studies. Ann. Bot. 116, 875−888.

    View in Article CrossRef Google Scholar

    [180] Fu, Y.H., Geng, X., Hao, F., et al. (2019). Shortened temperature-relevant period of spring leaf-out in temperate-zone trees. Global Change Biol. 25, 4282−4290.

    View in Article CrossRef Google Scholar

    [181] Zhu, Z., Piao, S., Myneni, R.B., et al. (2016). Greening of the Earth and its drivers. Nat. Clim. Change 6, 791−795.

    View in Article CrossRef Google Scholar

    [182] Piao, S., Liu, Z., Wang, T., et al. (2017). Weakening temperature control on the interannual variations of spring carbon uptake across northern lands. Nat. Clim. Change 7, 359−363.

    View in Article CrossRef Google Scholar

    [183] Baltzer, J.L., Day, N.J., Walker, X.J., et al. (2021). Increasing fire and the decline of fire adapted black spruce in the boreal forest. Proc. Natl. Acad. Sci. USA 118, e2024872118.

    View in Article CrossRef Google Scholar

    [184] Barber, V.A., Juday, G.P., and Finney, B.P. (2000). Reduced growth of Alaskan white spruce in the twentieth century from temperature-induced drought stress. Nature 405, 668−673.

    View in Article CrossRef Google Scholar

    [185] Allen, C.D., Macalady, A.K., Chenchouni, H., et al. (2010). A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For. Ecol. Manage. 259, 660−684.

    View in Article CrossRef Google Scholar

    [186] Aleixo, I., Norris, D., Hemerik, L., et al. (2019). Amazonian rainforest tree mortality driven by climate and functional traits. Nat. Clim. Change 9, 384−388.

    View in Article CrossRef Google Scholar

    [187] Mitton, J.B., and Ferrenberg, S.M. (2012). Mountain Pine Beetle Develops an Unprecedented Summer Generation in Response to Climate Warming. Proc. Am. Soc. Zool. 179, E163−E171.

    View in Article Google Scholar

    [188] Skendžić, S., Zovko, M., Živković, I.P., et al. (2021). The impact of climate change on agricultural insect pests. Insects 12, 440.

    View in Article CrossRef Google Scholar

    [189] Hock, R., Bliss, A., Marzeion, B.E.N., et al. (2019). GlacierMIP – a model intercomparison of global-scale glacier mass-balance models and projections. J. Glaciol. 65, 453−467.

    View in Article CrossRef Google Scholar

    [190] Fox-Kemper, B., Hewitt, H.T., Xiao, C., et al. (2021). Ocean, cryosphere and sea level change. In Masson-Delmotte, P.Z. V., A. Pirani, , S.L. Connors, et al., eds. In climate change 2021: The physical science basis. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change. CUP.

    View in Article Google Scholar

    [191] Bamber, J.L., Westaway, R.M., Marzeion, B., and Wouters, B. (2018). The land ice contribution to sea level during the satellite era. Environ. Res. Lett. 13, 063008.

    View in Article CrossRef Google Scholar

    [192] The IMBIE Team (2018). Mass balance of the Antarctic Ice Sheet from 1992 to 2017. Nature 558, 219-222.

    View in Article Google Scholar

    [193] Mudryk, L., Santolaria-Otín, M., Krinner, G., et al. (2020). Historical Northern Hemisphere snow cover trends and projected changes in the CMIP6 multi-model ensemble. The Cryosphere 14, 2495−2514.

    View in Article CrossRef Google Scholar

    [194] Yue, S., Che, T., Dai, L., et al. (2022). Characteristics of snow depth and snow phenology in the high latitudes and high altitudes of the northern hemisphere from 1988 to 2018. Remote Sens. 14, 5057.

    View in Article CrossRef Google Scholar

    [195] Biskaborn, B.K., Smith, S.L., Noetzli, J., et al. (2019). Permafrost is warming at a global scale. Nat. Commun. 10, 264.

    View in Article CrossRef Google Scholar

    [196] Liu, Y., Cobb, K.M., Song, H., et al. (2017). Recent enhancement of central Pacific El Niño variability relative to last eight centuries. Nat. Commun. 8, 15386.

    View in Article CrossRef Google Scholar

    [197] Cao, B., Zhang, T., Peng, X., et al. (2018). Thermal characteristics and recent changes of permafrost in the upper reaches of the Heihe River Basin, Western China. J. Geophys. Res.: Atmos. 123, 7935−7949.

    View in Article Google Scholar

    [198] Zhao, L., Zou, D., Hu, G., et al. (2020). Changing climate and the permafrost environment on the Qinghai-Tibet (Xizang) plateau. Permafr. 31, 396−405.

    View in Article Google Scholar

    [199] Noetzli J, Christiansen H., Deline P., et al. (2019). Permafrost thermal state [in "State of the climate in 2018"]. Bull. Am. Meteorol. Soc. 100, S21−S22.

    View in Article Google Scholar

    [200] Streletskiy, D.A., Sherstiukov, A.B., Frauenfeld, O.W., and Nelson, F.E. (2015). Changes in the 1963–2013 shallow ground thermal regime in Russian permafrost regions. Environ. Res.Lett. 10, 125005.

    View in Article CrossRef Google Scholar

    [201] Andersen J. K., Andreassen L.M., Baker E.H., et al. (2020). The Arctic: terrestrial ermafrost [in “state of the climate in 2019”]. Bull. Am. Meteorol. Soc. 101, S265−S269.

    View in Article Google Scholar

    [202] Romanovsky, V.E. et al. (2020). The Arctic: Terrestrial Permafrost [in “State of the Climate in 2019”]. Bulletin of the American Meteorological Society 101, S265−S269.

    View in Article Google Scholar

    [203] Stammerjohn, S.E., Martinson, D.G., Smith, R.C., et al. (2008). Trends in Antarctic annual sea ice retreat and advance and their relation to El Nino–Southern Oscillation and Southern Annular Mode variability. J.Geophys.Res.: Oceans 113, C03S90.

    View in Article Google Scholar

    [204] Turner, J., Lu, H., White, I., et al. (2016). Absence of 21st century warming on Antarctic Peninsula consistent with natural variability. Nature 535, 411−415.

    View in Article CrossRef Google Scholar

    [205] Evans, S.G., and Delaney, K.B. (2015). Chapter 16 - Catastrophic Mass Flows in the Mountain Glacial Environment. In Snow and Ice-Related Hazards, Risks, and Disasters, J.F. Shroder, W. Haeberli, and C. Whiteman, eds. (Academic Press), 563-606.

    View in Article Google Scholar

    [206] Coe, J.A., Bessette-Kirton, E.K., and Geertsema, M. (2017). Increasing rock-avalanche size and mobility in Glacier Bay National Park and Preserve, Alaska detected from 1984 to 2016 Landsat imagery. Landslides 15, 393−407.

    View in Article Google Scholar

    [207] Allen, S.K., Cox, S.C., and Owens, I.F. (2011). Rock avalanches and other landslides in the central southern alps of New Zealand: a regional study considering possible climate change impacts. Landslides 8, 33−48.

    View in Article CrossRef Google Scholar

    [208] Ballesteros-Cánovas, J.A., Trappmann, D., Madrigal-González, J., et al. (2018). Climate warming enhances snow avalanche risk in the western himalayas. Proc. Natl. Acad. Sci. USA 115, 3410−3415.

    View in Article CrossRef Google Scholar

    [209] Taylor, C., Robinson, T.R., Dunning, S., et al. (2023). Glacial lake outburst floods threaten millions globally. Nat. Commun. 14, 487.

    View in Article CrossRef Google Scholar

    [210] Hock, R., G. Rasul, C. Adler, et al. (2019): High mountain areas. In: IPCC special report on the ocean and cryosphere in a Changing climate [H.-O. Pörtner, D.C. Roberts, V. Masson-Delmotte, P. Zhai, M. Tignor, E. Poloczanska, K. Mintenbeck, A. Alegría, M. Nicolai, A. Okem, J. Petzold, B. Rama, N.M. Weyer (eds.)]. Cambridge University Press, Cambridge, UK and New York, NY, USA, 131–202

    View in Article Google Scholar

    [211] Hodson, A.J. (2014). Understanding the dynamics of black carbon and associated contaminants in glacial systems. WIREs. Water 1, 141−149.

    View in Article CrossRef Google Scholar

    [212] You, J., Qin, X., Ranjitkar, S., et al. (2018). Response to climate change of montane herbaceous plants in the genus Rhodiola predicted by ecological niche modelling. Sci. Rep. 8, 5879.

    View in Article CrossRef Google Scholar

    [213] Yang, Y., Hopping, K., Wang, G., et al. (2018). Permafrost and drought regulate vulnerability of Tibetan Plateau grasslands to warming. Ecosphere 9, e02233.

    View in Article Google Scholar

    [214] Williams, C.M., Henry, H.A.L., and Sinclair, B.J. (2015). Cold truths: how winter drivesresponses of terrestrial organisms to climate change. Biol. Rev. 90, 214−235.

    View in Article Google Scholar

    [215] He, X., Burgess, K.S., Gao, L.M., and Li, D.Z. (2019). Distributional responses to climate change for alpine species of Cyananthus and Primula endemic to the Himalaya-Hengduan Mountains. Plant Divers. 41, 26−32.

    View in Article CrossRef Google Scholar

    [216] Zimova, M., Mills, L.S., and Nowak, J.J. (2016). High fitness costs of climate change-induced camouflage mismatch. Ecol. Lett. 19, 299−307.

    View in Article CrossRef Google Scholar

    [217] Panetta, A.M., Stanton, M.L., and Harte, J. (2018). Climate warming drives local extinction: Evidence from observation and experimentation. Sci. Adv. 4, eaaq1819.

    View in Article CrossRef Google Scholar

    [218] Gentili, R., Baroni, C., Caccianiga, M., et al. (2015). Potential warm-stage microrefugia for alpine plants: Feedback between geomorphological and biological processes. Ecol. Complex. 21, 87−99.

    View in Article CrossRef Google Scholar

    [219] Xiao, C.-D., Wang, S.-J., and Qin, D.-H. (2015). A preliminary study of cryosphere service function and value evaluation. Advances in climate change research 6, 181−187.

    View in Article CrossRef Google Scholar

    [220] Steiger, R., Scott, D., Abegg, B., et al. (2017). A critical review of climate change risk for ski tourism. Curr. Issues Tour. 22, 1343−1379.

    View in Article Google Scholar

    [221] Hagenstad, M., E.A. Burakowski, and Hill, R. (2018). Economic contributions of winter sports in a changing climate. Protect Our Winters, Boulder, CO, USA.

    View in Article Google Scholar

    [222] Tschakert, P., Ellis, N.R., Anderson, C., et al. (2019). One thousand ways to experience loss: a systematic analysis of climate-related intangible harm from around the world. Glob. Environ. Change. 55, 58−72.

    View in Article CrossRef Google Scholar

    [223] Konchar, K.M., Staver, B., Salick, J., et al. (2015). Adapting in the shadow of annapurna: a climate tipping point. J. Ethnobiol. 35, 449−471.

    View in Article CrossRef Google Scholar

    [224] Becken, S., Lama, A.K., and Espiner, S. (2013). The cultural context of climate change impacts: perceptions among community members in the Annapurna Conservation Area, Nepal. Environ. Dev. 8, 22−37.

    View in Article CrossRef Google Scholar

    [225] Steinhäuser, K.G., Von Gleich, A., Große Ophoff, M., and Körner, W. (2022). The necessity of a global binding framework for sustainable management of chemicals and materials -Interactions with climate and biodiversity. Sustainable Chem. 3, 205−237.

    View in Article CrossRef Google Scholar

    [226] Carlsson, P., Christensen, J., Borgå, K., et al. (2017). Influence of climate change on transport, levels, and effects of contaminants in northern areas – part 2. planning and coordination: Lars-Otto Reiersen, Janet Pawlak Production management: Janet Pawlak Technical production and layout.

    View in Article Google Scholar

    [227] Li, M., Gazang, C., Ge, H., et al. (2021). The atmospheric travel distance of persistent organic pollutants-revisit and application in climate change impact on long-rang transport potential. Atmos. Res. 255, 105558.

    View in Article CrossRef Google Scholar

    [228] Wang, X., Sun, D., and Yao, T. (2016). Climate change and global cycling of persistent organic pollutants: a critical review. Sci. China: Earth Sci. 59, 1899−1911.

    View in Article Google Scholar

    [229] Zhang, Y., Granger, S.J., Semenov, M.A., et al. (2022). Diffuse water pollution during recent extreme wet-weather in the UK: environmental damage costs and insight into the future. J. Cleaner Prod. 338, 130633.

    View in Article CrossRef Google Scholar

    [230] Deutsch, C.A., Tewksbury, J.J., Tigchelaar, M., et al. (2018). Increase in crop losses to insect pests in a warming climate. Sci. 361, 916−919.

    View in Article CrossRef Google Scholar

    [231] Crawford, S.E., Brinkmann, M., Ouellet, J.D., et al. (2022). Remobilization of pollutants during extreme flood events poses severe risks to human and environmental health. J. Hazard. Mater. 421, 126691.

    View in Article CrossRef Google Scholar

    [232] Perera, F., and Nadeau, K. (2022). Climate Change, Fossil-Fuel Pollution, and Children's Health. N. Engl. J. Med. 386, 2303−2314.

    View in Article CrossRef Google Scholar

    [233] Xu, R.B., Yu, P., Abramson, M.J., et al. (2020). Wildfires, global climate change, and human health. N. Engl. J. Med. 383, 2173−2181.

    View in Article CrossRef Google Scholar

    [234] Guo, Y., Gasparrini, A., Armstrong, B.G., et al. (2017). Heat wave and mortality: a multicountry, multicommunity study. Environ. Health Perspect. 125, 087006.

    View in Article CrossRef Google Scholar

    [235] McDermott-Levy, R., Scolio, M., Shakya, K.M., and Moore, C.H. (2021). Factors that influence climate change-related mortality in the United States: an integrative review. Int. J. Environ. Res. Public Health 18, 8220.

    View in Article CrossRef Google Scholar

    [236] Green, H., Bailey, J., Schwarz, L., et al. (2019). Impact of heat on mortality and morbidity in low and middle income countries: a review of the epidemiological evidence and considerations for future research. Environ. Res. 171, 80−91.

    View in Article CrossRef Google Scholar

    [237] Weilnhammer, V., Schmid, J., Mittermeier, I., et al. (2021). Extreme weather events in europe and their health consequences - a systematic review. Int. J. Hyg. Environ. Health 233, 113688.

    View in Article CrossRef Google Scholar

    [238] Poursafa, P., Keikha, M., and Kelishadi, R. (2015). Systematic review on adverse birth outcomes of climate change. J. Res. Med. Sci. 20, 397−402.

    View in Article Google Scholar

    [239] Bekkar, B., Pacheco, S., Basu, R., and DeNicola, N. (2020). Association of air pollution and heat exposure with preterm birth, low birth weight, and stillbirth in the US: a systematic review. JAMA Netw Open 3, e208243.

    View in Article CrossRef Google Scholar

    [240] Liu, J., Varghese, B.M., Hansen, A., et al. (2021). Is there an association between hot weather and poor mental health outcomes. A systematic review and meta-analysis. Environ Int 153, 106533.

    View in Article Google Scholar

    [241] Cianconi, P., Betro, S., and Janiri, L. (2020). The impact of climate change on mental health: a systematic descriptive review. Front. Psychiatry 11, 74.

    View in Article Google Scholar

    [242] Yang, J., Yin, P., Sun, J., et al. (2019). Heatwave and mortality in 31 major Chinese cities: definition, vulnerability and implications. Sci. Total Environ. 649, 695−702.

    View in Article CrossRef Google Scholar

    [243] Guo, Y.M., Zhang, Y.W., Yu, P., et al. (2023). Strategies to reduce the health impacts of heat exposure. In Heat Exposure and Human Health in the Context of Climate Change, 293-322.

    View in Article Google Scholar

    [244] Liu, J., Varghese, B.M., Hansen, A., et al. (2022). Heat exposure and cardiovascular health outcomes: a systematic review and meta-analysis. Lancet Planet. Health 6, e484−e495.

    View in Article CrossRef Google Scholar

    [245] Cheng, J., Xu, Z., Bambrick, H., et al. (2019). Cardiorespiratory effects of heatwaves: a systematic review and meta-analysis of global epidemiological evidence. Environ. Res. 177, 108610.

    View in Article CrossRef Google Scholar

    [246] Zhang, Y., Hajat, S., Zhao, L., et al. (2022). The burden of heatwave-related preterm births and associated human capital losses in China. Nat. Commun. 13, 7565.

    View in Article CrossRef Google Scholar

    [247] Finlay, S.E., Moffat, A., Gazzard, R., et al. (2012). Health impacts of wildfires. PLoS Curr. 4, e4f959951cce959952c.

    View in Article Google Scholar

    [248] Reid, C.E., Brauer, M., Johnston, F.H., et al. (2016). Critical review of health impacts of wildfire smoke exposure. Environ. Health Perspect. 124, 1334−1343.

    View in Article CrossRef Google Scholar

    [249] Yang, F., Gao, Y., Zhao, H., et al. (2021). Revealing the distribution characteristics of antibiotic resistance genes and bacterial communities in animal-aerosol-human in a chicken farm: from One-Health perspective. Ecotoxicol. Environ. Saf. 224, 112687.

    View in Article CrossRef Google Scholar

    [250] Amjad, S., Chojecki, D., Osornio-Vargas, A., and Ospina, M.B. (2021). Wildfire exposure during pregnancy and the risk of adverse birth outcomes: a systematic review. Environ. Int. 156, 106644.

    View in Article CrossRef Google Scholar

    [251] Belleville, G., Ouellet, M.C., and Morin, C.M. (2019). Post-Traumatic stress among evacuees from the 2016 Fort McMurray Wildfires: exploration of psychological and sleep symptoms three months after the evacuation. Int. J. Environ. Res. Public Health 16, 1604.

    View in Article CrossRef Google Scholar

    [252] Bryant, R.A., Gibbs, L., Gallagher, H.C., et al. (2018). Longitudinal study of changing psychological outcomes following the Victorian Black Saturday bushfires. Aust. N. Z. J. Psychiat 52, 542−551.

    View in Article CrossRef Google Scholar

    [253] Dosa, D.M., Skarha, J., Peterson, L.J., et al. (2020). Association between exposure to hurricane irma and mortality and mospitalization in florida nursing home residents. Jama. Netw. Open 3, e2019460.

    View in Article CrossRef Google Scholar

    [254] Watkins, D.J., Torres Zayas, H.R., Vélez Vega, C.M., et al. (2020). Investigating the impact of Hurricane Maria on an ongoing birth cohort in Puerto Rico. Popul. Environ. 42, 95−111.

    View in Article CrossRef Google Scholar

    [255] Schwartz, R.M., Gillezeau, C.N., Liu, B., et al. (2017). Longitudinal impact of hurricane sandy exposure on Mental Health Symptoms. Int. J. Environ. Res. Public Health 14, 957.

    View in Article CrossRef Google Scholar

    [256] Lenane, Z., Peacock, E., Joyce, C., et al. (2019). Association of post-traumatic stress disorder symptoms following hurricane katrina with incident cardiovascular disease events among older adults with hypertension. Am. J. Geriatr. Psychiatry 27, 310−321.

    View in Article CrossRef Google Scholar

    [257] Brown, M.R.G., Agyapong, V., Greenshaw, A.J., et al. (2019). After the Fort McMurray wildfire there are significant increases in mental health symptoms in grade 7-12 students compared to controls. BMC Psychiatry 19, 97.

    View in Article CrossRef Google Scholar

    [258] Benmarhnia, T., Deguen, S., Kaufman, J.S., and Smargiassi, A. (2015). Vulnerability to heat-related mortality a systematic review,meta-analysis, and meta-regression analysis. Epidemiology 26, 781−793.

    View in Article CrossRef Google Scholar

    [259] Romanello, M., McGushin, A., Di Napoli, C., et al. (2021). The 2021 report of the Lancet Countdown on health and climate change: code red for a healthy future. Lancet 398, 1619−1662.

    View in Article CrossRef Google Scholar

    [260] Xu, R., Zhao, Q., Coelho, M., et al. (2020). Socioeconomic inequality in vulnerability to all-cause and cause-specific hospitalisation associated with temperature variability: A time-series study in 1814 Brazilian cities. Lancet Planet. Health 4, e566−e576.

    View in Article CrossRef Google Scholar

    [261] Burrows, M.T., Bates, A.E., Costello, M.J., et al. (2019). Ocean community warming responses explained by thermal affinities and temperature gradients. Nat. Clim. Chang. 9, 959−963.

    View in Article CrossRef Google Scholar

    [262] Chaudhary, C., Richardson, A.J., Schoeman, D.S., and Costello, M.J. (2021). Global warming is causing a more pronounced dip in marine species richness around the equator. Proc. Natl. Acad. Sci. USA 118, e2015094118.

    View in Article CrossRef Google Scholar

    [263] Gordó-Vilaseca, C., Stephenson, F., Coll, M., et al. (2023). Three decades of increasing fish biodiversity across the northeast Atlantic and the Arctic Ocean. Proc. Natl. Acad. Sci. 120, e2120869120.

    View in Article CrossRef Google Scholar

    [264] Manes, S., Costello, M.J., Beckett, H., et al. (2021). Endemism increases species' climate change risk in areas of global biodiversity importance. Biol. Conserv 257, 109070.

    View in Article CrossRef Google Scholar

    [265] Costello, M.J. (2022). Biodiversity conservation through protected areas supports healthy ecosystems and resilience to climate change and other disturbances. In Imperiled: The Encyclopedia of Conservation, D.A. DellaSala, and M.I. Goldstein, eds. 423-429.

    View in Article Google Scholar

    [266] Zhao, Q., Huang, H., Costello, M.J., and Chu, J. (2023). Climate change projections show shrinking deep-water ecosystems with implications for biodiversity and aquaculture in the Northwest Pacific. Sci. Total Environ. 861, 160505.

    View in Article CrossRef Google Scholar

    [267] Lavin, C.P., Gordó-Vilaseca, C., Costello, M.J., et al. (2022). Warm and cold temperatures limit the maximum body length of teleost fishes across a latitudinal gradient in Norwegian waters. Environ. Biol. Fishes 105, 1415−1429.

    View in Article CrossRef Google Scholar

    [268] Lavin, C.P., Gordó-Vilaseca, C., Stephenson, F., et al. (2022). Warmer temperature decreases the maximum length of six species of marine fishes, crustacean, and squid in New Zealand. Environ. Biol. Fishes 105, 1431−1446.

    View in Article CrossRef Google Scholar

    [269] Costello, M.J., M.M. Vale, W. Kiessling, et al. (2022). Cross-chapter paper 1: biodiversity hotspots. In climate change 2022: Impacts, adaptation and vulnerability. Contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change, H.-O. Pörtner, D.C. Roberts, M. Tignor, et al., eds. 2123–2161.

    View in Article Google Scholar

    [270] Mackintosh, A., Hill, G., Costello, M., et al. (2023). Modeling Aquaculture Suitability in a Climate Change Future. Oceanography, 36, 8−8.

    View in Article Google Scholar

    [271] Lawrence, J., B. Mackey, F. Chiew, et al. (2022). Australasia. In: climate change 2022: Impacts, adaptation, and vulnerability. Contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change. In H.-O. Pörtner, D.C. Roberts, M. Tignor, et al., eds.

    View in Article Google Scholar

    [272] Pörtner, H.-O., D.C. Roberts, H. Adams, et al. (2022). Technical summary. In: climate change 2022: impacts, adaptation, and vulnerability. Contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change. In H.-O. Pörtner, D.C. Roberts, M. Tignor, et al., eds.

    View in Article Google Scholar

    [273] Costello, M.J. (2022). Threats to marine species and habitats, and how banning seabed trawling supports the global biodiversity framework. In Imperiled: the encyclopedia of conservation, D.A. DellaSala, and M.I. Goldstein, eds. 633-639.

    View in Article Google Scholar

    [274] Costello, M.J. (2022). Restoring biodiversity and living with nature (Based Solutions). In imperiled: the encyclopedia of conservation, D.A. DellaSala, and M.I. Goldstein, eds. 7-14.

    View in Article Google Scholar

    [275] Costello, M.J., Webb, J.T., Provoost, P., and Appeltans, W. (2022). New knowledge on and threats to marine biodiversity. In: state of the ocean report, pilot edition. IOC Technical Series IOC-UNESCO.

    View in Article Google Scholar

    [276] Costello, Mark J. (2015). Biodiversity: The known, unknown, and rates of extinction. Curr. Biol. 25, R368−R371.

    View in Article CrossRef Google Scholar

    [277] Costello, M.J. (2022). Climate Change is not the biggest threat to freshwater biodiversity. In Imperiled: the encyclopedia of conservation, D.A. DellaSala, and M.I. Goldstein, eds. 623-632.

    View in Article Google Scholar

    [278] Leadley, P., Obura, D., Archer, E., et al. (2022). Actions needed to achieve ambitious objectives of net gains in natural ecosystem area by 2030 and beyond. PLOS Sustainability and Transformation 1, e0000040.

    View in Article CrossRef Google Scholar

    [279] Kocsis, Á.T., Zhao, Q., Costello, M.J., and Kiessling, W. (2021). Not all biodiversity rich spots are climate refugia. Biogeosciences 18, 6567−6578.

    View in Article CrossRef Google Scholar

    [280] Amelung, W., Bossio, D., de Vries, W., et al. (2020). Towards a global-scale soil climate mitigation strategy. Nat. Commun. 11, 5427.

    View in Article CrossRef Google Scholar

    [281] Yu, Z., Loisel, J., Brosseau, D.P., et al. (2010). Global peatland dynamics since the Last Glacial Maximum. Geophys. Res. Lett. 37.

    View in Article Google Scholar

    [282] Scharlemann, J.P.W., Tanner, E.V.J., Hiederer, R., and Kapos, V. (2014). Global soil carbon: understanding and managing the largest terrestrial carbon pool. Carbon Manag. 5, 81−91.

    View in Article CrossRef Google Scholar

    [283] Schimmel, H., and Amelung, W. (2022). Organic soils. In Reference Module in Earth Systems and Environmental Sciences.

    View in Article Google Scholar

    [284] Frolking, S., Talbot, J., Jones, M.C., et al. (2011). Peatlands in the Earth’s 21st century climate system. Environ. Rev. 19, 371−396.

    View in Article CrossRef Google Scholar

    [285] Leifeld, J., Wüst-Galley, C., and Page, S. (2019). Intact and managed peatland soils as a source and sink of GHGs from 1850 to 2100. Nat. Clim. Chang. 9, 945−947.

    View in Article CrossRef Google Scholar

    [286] Knox, S.H., Sturtevant, C., Matthes, J.H., et al. (2015). Agricultural peatland restoration: effects of land-use change on greenhouse gas (CO2 and CH4) fluxes in the Sacramento-San Joaquin Delta. G. C. Biology 21, 750−765.

    View in Article CrossRef Google Scholar

    [287] Paustian, K., Lehmann, J., Ogle, S., et al. (2016). Climate-smart soils. Nature 532, 49−57.

    View in Article CrossRef Google Scholar

    [288] Lu, N., Tian, H.Q., Fu, B.J., et al. (2022). Biophysical and economic constraints on China's natural climate solutions. Nat. Clim. Chang. 12, 847.

    View in Article CrossRef Google Scholar

    [289] Fargione, J.E., Bassett, S., Boucher, T., et al. (2018). Natural climate solutions for the United States. Sci. Adv. 4, eaat1869.

    View in Article CrossRef Google Scholar

    [290] Pan, Y.D., Birdsey, R.A., Fang, J.Y., et al. (2011). A large and persistent carbon sink in the world's forests. Science 333, 988−993.

    View in Article CrossRef Google Scholar

    [291] Grassi, G., House, J., Dentener, F., et al. (2017). The key role of forests in meeting climate targets requires science for credible mitigation. Nat. Clim. Chang. 7, 220−+.

    View in Article CrossRef Google Scholar

    [292] Ruseva, T.B. (2023). The governance of forest carbon in a subnational climate mitigation system: insights from a network of action situations approach. Sustain. Sci. 18, 59−78.

    View in Article CrossRef Google Scholar

    [293] Morecroft, M.D., Duffield, S., Harley, M., et al. (2019). Measuring the success of climate change adaptation and mitigation in terrestrial ecosystems. Science 366, 1329-+, eaaw9256.

    View in Article Google Scholar

    [294] Anderegg, W.R.L., Trugman, A.T., Badgley, G., et al. (2020). Climate-driven risks to the climate mitigation potential of forests. Science 368, eaaz7005.

    View in Article CrossRef Google Scholar

    [295] Rana, P., and Varshney, L.R. (2023). Exploring limits to tree planting as a natural climate solution. J. Clean. Prod. 384, 135566.

    View in Article CrossRef Google Scholar

    [296] Fleischman, F., Basant, S., Chhatre, A., et al. (2020). Pitfalls of tree planting show why we need people-centered natural climate solutions. Bioscience 70, 947−950.

    View in Article Google Scholar

    [297] Strassburg, B.B.N., Iribarrem, A., Beyer, H.L., et al. (2020). Global priority areas for ecosystem restoration. Nature 586, 724−729.

    View in Article CrossRef Google Scholar

    [298] Doelman, J.C., and Stehfest, E. (2022). The risks of overstating the climate benefits of ecosystem restoration. Nature 609, E1−E3.

    View in Article CrossRef Google Scholar

    [299] Elias, M., Kandel, M., Mansourian, S., et al. (2022). Ten people-centered rules for socially sustainable ecosystem restoration. Restor. Ecol. 30, e13574.

    View in Article Google Scholar

    [300] Wu, X., Lu, Y., Zhang, J., et al. (2023). Adapting ecosystem restoration for sustainable development in a changing world. The Innovation 4, 100375, 10.1016/j.xinn.2023.100375.

    View in Article Google Scholar

    [301] IPCC (2019). Climate change 2019: Synthesis report contribution of working groups I, II and III to the fourth assessment report of the Intergovernmental Panel on Climate Change. Intergovernmental Panel on Climate Change.

    View in Article Google Scholar

    [302] Tian, D., Zhang, Y., Mu, Y., et al. (2020). Effect of N fertilizer types on N2O and NO emissions under drip fertigation from an agricultural field in the North China Plain. Sci. Total Environ. 715, 136903.

    View in Article CrossRef Google Scholar

    [303] Saunois, M., Bousquet, P., Poulter, B., et al. (2016). The global methane budget 2000–2012. Earth Syst. Sci. Data 8, 697−751.

    View in Article CrossRef Google Scholar

    [304] Tao, F., Palosuo, T., Valkama, E., and Mäkipää, R. (2019). Cropland soils in China have a large potential for carbon sequestration based on literature survey. Soil and Tillage Res. 186, 70−78.

    View in Article CrossRef Google Scholar

    [305] Hobley, E.U., Honermeier, B., Don, A., et al. (2018). Decoupling of subsoil carbon and nitrogen dynamics after long-term crop rotation and fertilization. Agr. Ecosyst. Environ. 265, 363−373.

    View in Article CrossRef Google Scholar

    [306] Liu, J., Jiang, B.S., Shen, J.L., et al. (2021). Contrasting effects of straw and straw-derived biochar applications on soil carbon accumulation and nitrogen use efficiency in double-rice cropping systems. Agr. Ecosyst. Environ. 311, 107286.

    View in Article CrossRef Google Scholar

    [307] Bai, X., Huang, Y., Ren, W., et al. (2019). Responses of soil carbon sequestration to climate-smart agriculture practices: A meta-analysis. Global Change Biol. 25, 2591−2606.

    View in Article CrossRef Google Scholar

    [308] Xia, L., Cao, L., Yang, Y., et al. (2023). Integrated biochar solutions can achieve carbon-neutral staple crop production. Nature Food 4, 236−246.

    View in Article CrossRef Google Scholar

    [309] Wang, H., Wang, S., Yu, Q., et al. (2020). No tillage increases soil organic carbon storage and decreases carbon dioxide emission in the crop residue-returned farming system. J. Environ. Manage 261, 110261.

    View in Article CrossRef Google Scholar

    [310] Six, J., Feller, C., Denef, K., et al. (2002). Soil organic matter, biota and aggregation in temperate and tropical soils - Effects of no-tillage. Agronomie 22, 755−775.

    View in Article CrossRef Google Scholar

    [311] Cai, A., Han, T., Ren, T., et al. (2022). Declines in soil carbon storage under no tillage can be alleviated in the long run. Geoderma 425, 116028.

    View in Article CrossRef Google Scholar

    [312] Yang, Y., Ti, J., Zou, J., et al. (2023). Optimizing crop rotation increases soil carbon and reduces GHG emissions without sacrificing yields. Agr. Ecosyst. Environ. 342. 108220

    View in Article Google Scholar

    [313] Shen, H., Shiratori, Y., Ohta, S., et al. (2021). Mitigating N2O emissions from agricultural soils with fungivorous mites. ISME J. 15, 2427−2439.

    View in Article CrossRef Google Scholar

    [314] Cai, S., Zhao, X., Pittelkow, C.M., et al. (2023). Optimal nitrogen rate strategy for sustainable rice production in China. Nature 615, 73−79.

    View in Article CrossRef Google Scholar

    [315] Rees, R.M., Maire, J., Florence, A., et al. (2020). Mitigating nitrous oxide emissions from agricultural soils by precision management. Front Agric Sci Eng 7, 75−80.

    View in Article CrossRef Google Scholar

    [316] Cui, X.Q., Zhou, F., Ciais, P., et al. (2021). Global mapping of crop-specific emission factors highlights hotspots of nitrous oxide mitigation. Nature Food 2, 886−+.

    View in Article CrossRef Google Scholar

    [317] Recio, J., Alvarez, J.M., Rodriguez-Quijano, M., and Vallejo, A. (2019). Nitrification inhibitor DMPSA mitigated N2O emission and promoted NO sink in rainfed wheat. Environ. Pollut 245, 199−207.

    View in Article CrossRef Google Scholar

    [318] Recio, J., Montoya, M., Ginés, C., et al. (2020). Joint mitigation of NH3 and N2O emissions by using two synthetic inhibitors in an irrigated cropping soil. Geoderma 373, 114423. .

    View in Article CrossRef Google Scholar

    [319] Bakken, L.R., and Frostegård, Å. (2020). Emerging options for mitigating N2O emissions from food production by manipulating the soil microbiota. Curr. Opin. Environ. Sustain. 47, 89−94.

    View in Article CrossRef Google Scholar

    [320] Shen, H., Shiratori, Y., Ohta, S., et al. (2021). Mitigating N2O emissions from agricultural soils with fungivorous mites. ISME J.l 15, 2427−2439.

    View in Article CrossRef Google Scholar

    [321] Storer, K., Coggan, A., Ineson, P., and Hodge, A. (2018). Arbuscular mycorrhizal fungi reduce nitrous oxide emissions from N2O hotspots. New Phytol. 220, 1285−1295.

    View in Article CrossRef Google Scholar

    [322] Hiya, H.J., Ali, M.A., Baten, M.A., and Barman, S.C. (2020). Effect of water saving irrigation management practices on rice productivity and methane emission from paddy field. J. Geosci.Environ. Prot. 8, 182−196.

    View in Article Google Scholar

    [323] Iqbal, M.F., Zhang, Y., Kong, P., et al. (2023). High-yielding nitrate transporter cultivars also mitigate methane and nitrous oxide emissions in paddy. Front. Plant Sci. 14. 1133643

    View in Article Google Scholar

    [324] Wang, C., Liu, J., Shen, J., et al. (2018). Effects of biochar amendment on net greenhouse gas emissions and soil fertility in a double rice cropping system: A 4-year field experiment. Agric., Ecosyst. Environ. 262, 83−96.

    View in Article CrossRef Google Scholar

    [325] Yagi, K., Sriphirom, P., Cha-un, N., et al. (2020). Potential and promisingness of technical options for mitigating greenhouse gas emissions from rice cultivation in Southeast Asian countries. Soil Sci. Plant Nutr. 66, 37−49.

    View in Article CrossRef Google Scholar

    [326] Scholz, V.V., Meckenstock, R.U., Nielsen, L.P., and Risgaard-Petersen, N. (2020). Cable bacteria reduce methane emissions from rice-vegetated soils. Nat. Commun. 11, 1878.

    View in Article CrossRef Google Scholar

    [327] Rani, V., Bhatia, A., and Kaushik, R. (2021). Inoculation of plant growth promoting-methane utilizing bacteria in different N-fertilizer regime influences methane emission and crop growth of flooded paddy. Sci. Total Environ. 775, 145826.

    View in Article CrossRef Google Scholar

    [328] Davamani, V., Parameswari, E., and Arulmani, S. (2020). Mitigation of methane gas emissions in flooded paddy soil through the utilization of methanotrophs. Sci. Total Environ. 726, 138570.

    View in Article CrossRef Google Scholar

    [329] Fan, L.C., Dippold, M.A., Ge, T.D., et al. (2020). Anaerobic oxidation of methane in paddy soil: Role of electron acceptors and fertilization in mitigating CH4 fluxes. Soil Biol. Biochem. 141, 107685.

    View in Article CrossRef Google Scholar

    [330] Clark, M.A., Domingo, N.G.G., Colgan, K., et al. (2020). Global food system emissions could preclude achieving the 1.5 degrees and 2 degrees C climate change targets. Science 370, 705-+.

    View in Article Google Scholar

    [331] Clark, S. (2020). Organic Farming and Climate Change: The Need for Innovation. Sustainability 12, 7012.

    View in Article CrossRef Google Scholar

    [332] Reganold, J.P., and Wachter, J.M. (2016). Organic agriculture in the twenty-first century. Nat. Plants 2, 15221.

    View in Article CrossRef Google Scholar

    [333] Renwick, L.L.R., Deen, W., Silva, L., et al. (2021). Long-term crop rotation diversification enhances maize drought resistance through soil organic matter. Environ. Res. Lett. 16, 084067.

    View in Article CrossRef Google Scholar

    [334] Rollan, À., Hernández-Matías, A., and Real, J. (2019). Organic farming favours bird communities and their resilience to climate change in Mediterranean vineyards. Agric. Ecosyst. Environ. 269, 107−115.

    View in Article CrossRef Google Scholar

    [335] Małgorzata, H., Jolanta, K., and Magdalena, J. (2022). Reducing Carbon Footprint of Agriculture. Can Organic Farming Help to Mitigate Climate Change? Agriculture 12, 1383.

    View in Article Google Scholar

    [336] Šarauskis, E., Romaneckas, K., Kumhála, F., and Kriaučiūnienė, Z. (2018). Energy use and carbon emission of conventional and organic sugar beet farming. J. Clean Prod. 201, 428−438.

    View in Article CrossRef Google Scholar

    [337] Cooper, J., Baranski, M., Stewart, G., et al. (2016). Shallow non-inversion tillage in organic farming maintains crop yields and increases soil C stocks: a meta-analysis. Agron. Sustain. Dev. 36, 22.

    View in Article CrossRef Google Scholar

    [338] Zani, C.F., Lopez-Capel, E., Abbott, G.D., et al. (2022). Effects of integrating grass-clover leys with livestock into arable crop rotations on soil carbon stocks and particulate and mineral-associated soil organic matter fractions in conventional and organic systems. Soil Use Manag. 38, 448−465.

    View in Article CrossRef Google Scholar

    [339] Skinner, C., Gattinger, A., Krauss, M., et al. (2019). The impact of long-term organic farming on soil-derived greenhouse gas emissions. Sci. Rep. 9, 1702.

    View in Article CrossRef Google Scholar

    [340] Gangopadhyay, S., Banerjee, R., Batabyal, S., et al. (2022). Carbon sequestration and greenhouse gas emissions for different rice cultivation practices. Sustain. Prod. Consump. 34, 90−104.

    View in Article CrossRef Google Scholar

    [341] Skinner, C., Gattinger, A., Krauss, M., et al. (2019). The impact of long-term organic farming on soil-derived greenhouse gas emissions. Sci. Rep. 9, 1702.

    View in Article CrossRef Google Scholar

    [342] Costa, C., Wollenberg, E., Benitez, M., et al. (2022). Roadmap for achieving net-zero emissions in global food systems by 2050. Sci. Rep. 12, 15064.

    View in Article CrossRef Google Scholar

    [343] Miksa, O., Chen, X., Baležentienė, L., et al. (2020). Ecological challenges in life cycle assessment and carbon budget of organic and conventional agroecosystems: A case from Lithuania. Sci. Total Environ. 714, 136850.

    View in Article CrossRef Google Scholar

    [344] Longlong, X., Liang, C., Yi, Y., et al. (2023). Integrated biochar solutions can achieve carbon-neutral staple crop production. Nature Food. 4, 236−246.

    View in Article CrossRef Google Scholar

    [345] Chiriacò, M.V., Grossi, G., Castaldi, S., and Valentini, R. (2017). The contribution to climate change of the organic versus conventional wheat farming: A case study on the carbon footprint of wholemeal bread production in Italy. J. Clean. Prod. 153, 309−319.

    View in Article CrossRef Google Scholar

    [346] El Chami, D. (2020). Towards Sustainable Organic Farming Systems. Sustainability. 12, 9832.

    View in Article CrossRef Google Scholar

    [347] Tutuncu, A.N. (2020). Fossil Fuels: A technical overview. In The Oxford Handbook of Energy Politics, K.J. Hancock, and J.E. Allison, eds. (Oxford University Press). 22-41.

    View in Article Google Scholar

    [348] NRC. (2010). Hidden costs of energy: unpriced consequences of energy production and use (The National Academies Press).

    View in Article Google Scholar

    [349] Bian, Z., Inyang, H.I., Daniels, J.L., et al. (2010). Environmental issues from coal mining and their solutions. Min. Sci. Technol. 20, 215−223.

    View in Article Google Scholar

    [350] Clay, K., Jha, A., Muller, N., and Walsh, R. (2019). External costs of transporting petroleum products: Evidence from shipments of crude oil from North Dakota by pipelines and rail. The Energy J. 40, 55−72.

    View in Article Google Scholar

    [351] Kaygusuz, K. (2007). Energy for sustainable development: Key issues and challenges. Energy Sources 2, 73−83.

    View in Article CrossRef Google Scholar

    [352] Rubin, E.M. (2008). Genomics of cellulosic biofuels. Nature 454, 841−845.

    View in Article CrossRef Google Scholar

    [353] Gibb, D., Ledanois, N., Ranalder, L., et al. (2022). Renewables 2022 global status report+ Renewable energy data in perspective+ Press releases+ Regional fact sheets+ Country fact sheets.

    View in Article Google Scholar

    [354] Yang, Z., Zhang, J., Kintner-Meyer, M.C.W., et al. (2011). Electrochemical Energy Storage for Green Grid. Chem. Rev. 111, 3577−3613.

    View in Article CrossRef Google Scholar

    [355] IEA (2022). Carbon capture, utilisation and storage - fuels & technologies. Int. J. Energy Res.

    View in Article Google Scholar

    [356] IPCC (2018). Global warming of 1.5 °C: an IPCC special report on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. Intergovernmental Panel on Climate Change.

    View in Article Google Scholar

    [357] CAEP (2021). The annual report of CCUS in China-The Chinese CCUS pathway. Chinese Academy of Environmental planning.

    View in Article Google Scholar

    [358] IEA (2020). Energy technology perspectives: special report on carbon capture utilisation and storage CCUS in clean energy transitions. International Energy Agency.

    View in Article Google Scholar

    [359] Rogelj, J., Popp, A., Calvin, K.V., et al. (2018). Scenarios towards limiting global mean temperature increase below 1.5 °C. Nat. Clim. Chang. 8, 325-332.

    View in Article Google Scholar

    [360] Shahbaz, M., AlNouss, A., Ghiat, I., et al. (2021). A comprehensive review of biomass based thermochemical conversion technologies integrated with CO2 capture and utilisation within BECCS networks. Resour, Conserv. Recycl. 173, 105734.

    View in Article CrossRef Google Scholar

    [361] Sagues, W.J., Jameel, H., Sanchez, D.L., and Park, S. (2020). Prospects for bioenergy with carbon capture & storage (BECCS) in the United States pulp and paper industry. Energy Environ. Sci. 13, 2243−2261.

    View in Article CrossRef Google Scholar

    [362] Xing, X., Wang, R., Bauer, N., et al. (2021). Spatially explicit analysis identifies significant potential for bioenergy with carbon capture and storage in China. Nat. Commun. 12, 3159.

    View in Article CrossRef Google Scholar

    [363] Smith, P., Davis, S.J., Creutzig, F., et al. (2015). Biophysical and economic limits to negative CO2 emissions. Nat. Clim. Chang. 6, 42−50.

    View in Article Google Scholar

    [364] Hanssen, S.V., Steinmann, Z.J.N., Daioglou, V., et al. (2022). Global implications of crop-based bioenergy with carbon capture and storage for terrestrial vertebrate biodiversity. Glob. Chang. Biol. Bioenergy. 14, 307−321.

    View in Article CrossRef Google Scholar

    [365] Fajardy, M., Morris, J., Gurgel, A., et al. (2021). The economics of bioenergy with carbon capture and storage (BECCS) deployment in a 1.5 °C or 2 °C world. Glob. Environ. Change. 68, 102262.

    View in Article Google Scholar

    [366] Stenzel, F., Gerten, D., Werner, C., and Jägermeyr, J. (2019). Freshwater requirements of large-scale bioenergy plantations for limiting global warming to 1.5 °C. Environ. Res. Lett. 14, 084001.

    View in Article Google Scholar

    [367] Li, W., Ciais, P., Han, M., et al. (2021). Bioenergy crops for low warming targets require half of the present agricultural fertilizer use. Environ. Sci. Technol. 55, 10654−10661.

    View in Article CrossRef Google Scholar

    [368] Crippa, M., Solazzo, E., Guizzardi, D., et al. (2021). Food systems are responsible for a third of global anthropogenic GHG emissions. Nature Food 2, 198−209.

    View in Article CrossRef Google Scholar

    [369] Yang, J., Zhou, Q., and Zhang, J. (2017). Moderate wetting and drying increases rice yield and reduces water use, grain arsenic level, and methane emission. Crop. J. 5, 151−158.

    View in Article CrossRef Google Scholar

    [370] Wang, Z., Yin, Y., Wang, Y., et al. (2022). Integrating crop redistribution and improved management towards meeting China’s food demand with lower environmental costs. Nature Food 3, 1031−1039.

    View in Article CrossRef Google Scholar

    [371] Vaughan, A. (2021). COP26: 105 countries pledge to cut methane emissions by 30 per cent.

    View in Article Google Scholar

    [372] Clark, M., Springmann, M., Rayner, M., et al. (2022). Estimating the environmental impacts of 57,000 food products. Proc. Natl. Acad. Sci. U. S. A. 119, e2120584119.

    View in Article CrossRef Google Scholar

    [373] Gerten, D., Heck, V., Jägermeyr, J., et al. (2020). Feeding ten billion people is possible within four terrestrial planetary boundaries. Nat. Sustain. 3, 200−208.

    View in Article CrossRef Google Scholar

    [374] Hickey, L.T., N. Hafeez, A., Robinson, H., et al. (2019). Breeding crops to feed 10 billion. Nat. Biotechnol. 37, 744−754.

    View in Article CrossRef Google Scholar

    [375] Lam, S.K., Wille, U., Hu, H.-W., et al. (2022). Next-generation enhanced-efficiency fertilizers for sustained food security. Nature Food 3, 575−580.

    View in Article CrossRef Google Scholar

    [376] Cheng, L., Zhang, X., Reis, S., et al. (2022). A 12% switch from monogastric to ruminant livestock production can reduce emissions and boost crop production for 525 million people. Nature Food 3, 1040−1051.

    View in Article CrossRef Google Scholar

    [377] Bai, Z., Fan, X., Jin, X., et al. (2022). Relocate 10 billion livestock to reduce harmful nitrogen pollution exposure for 90% of China’s population. Nature Food 3, 152−160.

    View in Article CrossRef Google Scholar

    [378] Xu, X., Sharma, P., Shu, S., et al. (2021). Global greenhouse gas emissions from animal-based foods are twice those of plant-based foods. Nature Food 2, 724−732.

    View in Article CrossRef Google Scholar

    [379] Clark, M.A., Domingo, N.G.G., Colgan, K., et al. (2020). Global food system emissions could preclude achieving the 1.5° and 2°C climate change targets. Science 370, 705-708.

    View in Article Google Scholar

    [380] van Huis, A., and Gasco, L. (2023). Insects as feed for livestock production. Science 379, 138−139.

    View in Article CrossRef Google Scholar

    [381] Hazarika, A.K., and Kalita, U. (2023). Human consumption of insects. Science 379, 140−141.

    View in Article CrossRef Google Scholar

    [382] Humpenoder, F., Bodirsky, B.L., Weindl, I., et al. (2022). Projected environmental benefits of replacing beef with microbial protein. Nature 605, 90−96.

    View in Article CrossRef Google Scholar

    [383] Lynch, J., and Pierrehumbert, R. (2019). Climate impacts of cultured meat and beef cattle. Front. Sustain. Food Syst. 3, 5.

    View in Article CrossRef Google Scholar

    [384] Li, T., Chen, Y.Z., Han, L.J., et al. (2021). Shortened duration and reduced area of frozen soil in the Northern Hemisphere. The Innovation 2, 100146, 10.1016/j.xinn.2021.100146.

    View in Article Google Scholar

    [385] Malhi, Y., Franklin, J., Seddon, N., et al. (2020). Climate change and ecosystems: Threats, opportunities and solutions. Philos Trans. R. Soc. Lond B. Biol. Sci. 375, 20190104.

    View in Article CrossRef Google Scholar

    [386] Li, D., Wu, S., Liu, L., et al. (2018). Vulnerability of the global terrestrial ecosystems to climate change. Glob. Chang. Biol. 24, 4095−4106.

    View in Article CrossRef Google Scholar

    [387] Reside, A.E., Butt, N., and Adams, V.M. (2018). Adapting systematic conservation planning for climate change. Biodiversity Conserv. 27, 1−29.

    View in Article CrossRef Google Scholar

    [388] Mills, A.J., Tan, D., Manji, A.K., et al. (2020). Ecosystem‐based adaptation to climate change: Lessons learned from a pioneering project spanning Mauritania, Nepal, the Seychelles, and China. Plants, People, Planet 2, 587−597.

    View in Article CrossRef Google Scholar

    [389] Chanza, N., and Musakwa, W. (2021). Indigenous practices of ecosystem management in a changing climate: Prospects for ecosystem-based adaptation. Environ. Sci. Policy 126, 142−151.

    View in Article CrossRef Google Scholar

    [390] Manes, S., Vale, M.M., Malecha, A., and Pires, A.P.F. (2022). Nature-based solutions promote climate change adaptation safeguarding ecosystem services. Ecosyst. Serv. 55, 101439.

    View in Article CrossRef Google Scholar

    [391] Scheiter, S., and Savadogo, P. (2016). Ecosystem management can mitigate vegetation shifts induced by climate change in West Africa. Ecol. Modell. 332, 19−27.

    View in Article CrossRef Google Scholar

    [392] Cameron, D.R., Marvin, D.C., Remucal, J.M., and Passero, M.C. (2017). Ecosystem management and land conservation can substantially contribute to California's climate mitigation goals. Proc. Natl. Acad. Sci. U. S. A. 114, 12833−12838.

    View in Article CrossRef Google Scholar

    [393] Trivino, M., Moran-Ordonez, A., Eyvindson, K., et al. (2022). Future supply of boreal forest ecosystem services is driven by management rather than by climate change. Glob. Chang. Biol. 29, 1484−1500.

    View in Article Google Scholar

    [394] IPCC (2022). Climate change 2022: impacts, adaptation and vulnerability. Contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change. Intergovernmental Panel on Climate Change.

    View in Article Google Scholar

    [395] Davidson, T.A., Audet, J., Jeppesen, E., et al. (2018). Synergy between nutrients and warming enhances methane ebullition from experimental lakes. Nat. Clim. Change 8, 156−160.

    View in Article CrossRef Google Scholar

    [396] Zhu, Y., Wang, D., Smith, P., et al. (2022). What can the glasgow declaration on forests bring to global emission reduction? The Innovation 3, 100307, 10.1016/j.xinn.2022.100307.

    View in Article Google Scholar

    [397] Jeppesen, E., Søndergaard, M., Lauridsen, T.L., et al. (2012). Chapter 6 - Biomanipulation as a restoration tool to combat eutrophication: recent advances and future challenges. In Adv. Ecol. Res., G. Woodward, U. Jacob, and E.J. O'Gorman, eds. AP, 411-488.

    View in Article Google Scholar

    [398] Timilsina, G.R. (2021). Financing climate change adaptation: International initiatives. Sustainability 13, 6515.

    View in Article CrossRef Google Scholar

    [399] Kopp, R.E., Horton, R.M., Little, C.M., et al. (2014). Probabilistic 21st and 22nd century sea‐level projections at a global network of tide‐gauge sites. Earths Future 2, 383−406.

    View in Article CrossRef Google Scholar

    [400] Church, J.A., Clark, P.U., Cazenave, A., et al. (2013). Sea level change. In climate change 2013 – the physical science basis: working group I contribution to the fifth assessment report of the intergovernmental panel on climate change, C. Intergovernmental Panel on Climate, ed. (Cambridge University Press), 1137-1216.

    View in Article Google Scholar

    [401] De Dominicis, M., Wolf, J., Jevrejeva, S., et al. (2020). Future interactions between sea level rise, tides, and storm surges in the world's largest urban area. Geophys. Res. Lett. 47.

    View in Article Google Scholar

    [402] Valiela, I., Lloret, J., Bowyer, T., et al. (2018). Transient coastal landscapes: Rising sea level threatens salt marshes. Sci. Total Environ. 640-641, 1148-1156.

    View in Article Google Scholar

    [403] Macreadie, P.I., Costa, M.D.P., Atwood, T.B., et al. (2021). Blue carbon as a natural climate solution. Nat. Rev. Earth Environ. 2, 826−839.

    View in Article CrossRef Google Scholar

    [404] Jankowska, E., Pelc, R., Alvarez, J., et al. (2022). Climate benefits from establishing marine protected areas targeted at blue carbon solutions. Proc. Natl. Acad. Sci. U. S. A. 119, e2121705119.

    View in Article CrossRef Google Scholar

    [405] Miles, L., Agra, R., Sandeep, et al. (2021). Nature-based solutions for climate change mitigation. United Nations Environment Programme

    View in Article Google Scholar

    [406] Griscom, B.W., Adams, J., Ellis, P.W., et al. (2017). Natural climate solutions. Proc. Natl. Acad. Sci. U. S. A. 114, 11645−11650.

    View in Article CrossRef Google Scholar

    [407] Schuerch, M., Spencer, T., Temmerman, S., et al. (2018). Future response of global coastal wetlands to sea-level rise. Nature 561, 231−234.

    View in Article CrossRef Google Scholar

    [408] Kirwan, M.L., and Megonigal, J.P. (2013). Tidal wetland stability in the face of human impacts and sea-level rise. Nature 504, 53−60.

    View in Article CrossRef Google Scholar

    [409] Wang, F., Lu, X., Sanders, C.J., and Tang, J. (2019). Tidal wetland resilience to sea level rise increases their carbon sequestration capacity in United States. Nat. Commun. 10, 5434.

    View in Article CrossRef Google Scholar

    [410] Saintilan, N., Khan, N.S., Ashe, E., et al. (2020). Thresholds of mangrove survival under rapid sea level rise. Science 368, 1118−1121.

    View in Article CrossRef Google Scholar

    [411] Saintilan, N., Kovalenko, K.E., Guntenspergen, G., et al. (2022). Constraints on the adjustment of tidal marshes to accelerating sea level rise. Science 377, 523−527.

    View in Article CrossRef Google Scholar

    [412] Rogers, K., Kelleway, J.J., Saintilan, N., et al. (2019). Wetland carbon storage controlled by millennial-scale variation in relative sea-level rise. Nature 567, 91−95.

    View in Article CrossRef Google Scholar

    [413] Wang, F., Eagle, M., Kroeger, K.D., et al. (2021). Plant biomass and rates of carbon dioxide uptake are enhanced by successful restoration of tidal connectivity in salt marshes. Sci. Total Environ. 750, 141566.

    View in Article CrossRef Google Scholar

    [414] Wang, F., Sanders, C.J., Santos, I.R., et al. (2021). Global blue carbon accumulation in tidal wetlands increases with climate change. Natl. Sci. Rev. 8, nwaa296.

    View in Article CrossRef Google Scholar

    [415] Kumar, P., Debele, S.E., Sahani, J., et al. (2021). Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations. Sci. Total Environ. 784, 147058.

    View in Article CrossRef Google Scholar

    [416] Kumar, P., Debele, S.E., Sahani, J., et al. (2021). An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards. Earth-Sci. Rev. 217, 103603.

    View in Article CrossRef Google Scholar

    [417] Atteridge, A., Bhatpuria, D., Macura, B., et al. (2022). Assessing finance for nature-based solutions to climate change. Stockholm Environment Institute.

    View in Article Google Scholar

    [418] Kruse, J., Koch, M., Khoi, C.M., et al. (2020). Land use change from permanent rice to alternating rice-shrimp or permanent shrimp in the coastal Mekong Delta, Vietnam: Changes in the nutrient status and binding forms. Sci. Total Environ. 703, 134758.

    View in Article CrossRef Google Scholar

    [419] Renaud, F.G., Le, T.T.H., Lindener, C., et al. (2015). Resilience and shifts in agro-ecosystems facing increasing sea-level rise and salinity intrusion in Ben Tre Province, Mekong Delta. Clim. Change 133, 69−84.

    View in Article CrossRef Google Scholar

    [420] Smajgl, A., Toan, T.Q., Nhan, D.K., et al. (2015). Responding to rising sea levels in the Mekong Delta. Nat. Clim. Change 5, 167−174.

    View in Article CrossRef Google Scholar

    [421] Hashimi, R., Kaneko, N., and Komatsuzaki, M. (2023). Impact of no-tillage on soil quality and crop yield in Asia: a meta-analysis. Land Degrad. Dev. 34, 1004−1018.

    View in Article CrossRef Google Scholar

    [422] Crystal-Ornelas, R., Thapa, R., and Tully, K.L. (2021). Soil organic carbon is affected by organic amendments, conservation tillage, and cover cropping in organic farming systems: A meta-analysis. Agric., Ecosyst. Environ. 312, 107356.

    View in Article CrossRef Google Scholar

    [423] Jordon, M.W., Willis, K.J., Bürkner, P.-C., et al. (2022). Temperate Regenerative Agriculture practices increase soil carbon but not crop yield—a meta-analysis. Environ. Res. Lett. 17, 093001.

    View in Article CrossRef Google Scholar

    [424] Luo, Z., Wang, E., and Sun, O.J. (2010). Can no-tillage stimulate carbon sequestration in agricultural soils. A meta-analysis of paired experiments. Agric. Ecosyst. Environ. 139, 224−231.

    View in Article CrossRef Google Scholar

    [425] Oldfield, E.E., Bradford, M.A., and Wood, S.A. (2019). Global meta-analysis of the relationship between soil organic matter and crop yields. Soil 5, 15−32.

    View in Article CrossRef Google Scholar

    [426] Pittelkow, C.M., Liang, X., Linquist, B.A., et al. (2015). Productivity limits and potentials of the principles of conservation agriculture. Nature 517, 365−368.

    View in Article CrossRef Google Scholar

    [427] Lal, R. (2020). Soil organic matter content and crop yield. J. Soil Water Conserv. 75, 27A.

    View in Article CrossRef Google Scholar

    [428] Mizuta, K., Grunwald, S., and Phillips, M.A. (2018). New Soil Index Development and Integration with Econometric Theory. Soil Sci. Soc. Am. J. 82, 1017−1032.

    View in Article CrossRef Google Scholar

    [429] Gerke, J. (2022). The Central Role of Soil Organic Matter in Soil Fertility and Carbon Storage. Soil Syst. 6, 33.

    View in Article CrossRef Google Scholar

    [430] Ankenbauer, K.J., and Loheide II, S.P. (2017). The effects of soil organic matter on soil water retention and plant water use in a meadow of the Sierra Nevada, CA. Hydrol. Processes 31, 891−901.

    View in Article CrossRef Google Scholar

    [431] Emerson, W. (1995). Water-retention, organic-C and soil texture. Soil Res. 33, 241−251.

    View in Article CrossRef Google Scholar

    [432] IES. (2015). Soil threats in Europe (Joint Research Centre, Institute for Environment and Sustainability)L.

    View in Article Google Scholar

    [433] Karlen, D.L., and Rice, C.W. (2015). Soil degradation: will humankind ever learn. Sustainability 7, 12490−12501.

    View in Article CrossRef Google Scholar

    [434] Lorenz, K., Lal, R., and Ehlers, K. (2019). Soil organic carbon stock as an indicator for monitoring land and soil degradation in relation to United Nations' Sustainable Development Goals. Land Degrad. Dev. 30, 824−838.

    View in Article CrossRef Google Scholar

    [435] Oelofse, M., Markussen, B., Knudsen, L., et al. (2015). Do soil organic carbon levels affect potential yields and nitrogen use efficiency. An analysis of winter wheat and spring barley field trials. Eur. J. Agron. 66, 62−73.

    View in Article Google Scholar

    [436] Wheeler, T., and von Braun, J. (2013). Climate change impacts on global food security. Science 341, 508−513.

    View in Article CrossRef Google Scholar

    [437] Fedoroff, N.V., Battisti, D.S., Beachy, R.N., et al. (2010). Radically rethinking agriculture for the 21st century. Science 327, 833−834.

    View in Article CrossRef Google Scholar

    [438] Asseng, S., Ewert, F., Martre, P., et al. (2015). Rising temperatures reduce global wheat production. Nat. Clim. Change 5, 143−147.

    View in Article CrossRef Google Scholar

    [439] Zhu, J.K. (2016). Abiotic stress signaling and responses in plants. Cell 167, 313−324.

    View in Article CrossRef Google Scholar

    [440] Xiong, W., Reynolds, M., and Xu, Y. (2022). Climate change challenges plant breeding. Curr. Opin. Plant Biol. 70, 102308.

    View in Article CrossRef Google Scholar

    [441] Zhan, X., Lu, Y., Zhu, J.K., and Botella, J.R. (2021). Genome editing for plant research and crop improvement. J Integr Plant Biol 63, 3−33.

    View in Article CrossRef Google Scholar

    [442] Zhang, H., Li, Y., and Zhu, J.-K. (2018). Developing naturally stress-resistant crops for a sustainable agriculture. Nat. Plants 4, 989−996.

    View in Article CrossRef Google Scholar

    [443] Galimova, T., Ram, M., and Breyer, C. (2022). Mitigation of air pollution and corresponding impacts during a global energy transition towards 100% renewable energy system by 2050. Energy Rep. 8, 14124−14143.

    View in Article CrossRef Google Scholar

    [444] Donatti, C.I., Andrade, A., Cohen-Shacham, E., et al. (2022). Ensuring that nature-based solutions for climate mitigation address multiple global challenges. One Earth 5, 493−504.

    View in Article CrossRef Google Scholar

    [445] Shaheen, S.M., Antoniadis, V., Shahid, M., et al. (2022). Sustainable applications of rice feedstock in agro-environmental and construction sectors: a global perspective. Renewable Sustainable Energy Rev. 153, 111791.

    View in Article CrossRef Google Scholar

    [446] Kumar, R., V. Nguyen, T., J.S., et al. (2023). Towards realizing the EU 2050 zero pollution vision for nitrogen export. EGU General Assembly

    View in Article Google Scholar

    [447] Khreis, H., Sanchez, K.A., Foster, M., et al. (2023). Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map. ENVIRON INT. 172, 107805.

    View in Article CrossRef Google Scholar

    [448] Jiang, P., Khishgee, S., Alimujiang, A., and Dong, H. (2020). Cost-effective approaches for reducing carbon and air pollution emissions in the power industry in China. J. Environ. Manage. 264, 110452.

    View in Article CrossRef Google Scholar

    [449] Breuer, J.L., Samsun, R.C., Stolten, D., and Peters, R. (2021). How to reduce the greenhouse gas emissions and air pollution caused by light and heavy duty vehicles with battery-electric, fuel cell-electric and catenary trucks. ENVIRON INT. 152, 106474.

    View in Article CrossRef Google Scholar

    [450] Lal, R. (2020). Managing soils for resolving the conflict between agriculture and nature: the hard talk. Eur J Soil Sci. 71, 1−9.

    View in Article CrossRef Google Scholar

    [451] Palansooriya, K.N., Shaheen, S.M., Chen, S.S., et al. (2020). Soil amendments for immobilization of potentially toxic elements in contaminated soils: a critical review. Environ. int. 134, 105046.

    View in Article CrossRef Google Scholar

    [452] El-Naggar, A., El-Naggar, A.H., Shaheen, S.M., et al. (2019). Biochar composition-dependent impacts on soil nutrient release, carbon mineralization, and potential environmental risk: a review. J. Environ. Manage. 241, 458−467.

    View in Article CrossRef Google Scholar

    [453] Li, J., Pei, Y., Zhao, S., et al. (2020). A Review of Remote Sensing for Environmental Monitoring in China. Remote Sens. 12, 1130.

    View in Article CrossRef Google Scholar

    [454] Moiroux-Arvis, L., Royer, L., Sarramia, D., et al. (2023). ConnecSenS, a Versatile IoT Platform for Environment Monitoring: bring Water to Cloud. Sensors 23, 2896.

    View in Article CrossRef Google Scholar

    [455] Manshur, T., Luiu, C., Avis, W.R., et al. (2023). A citizen science approach for air quality monitoring in a Kenyan informal development. City and Environment Interactions 19, 100105.

    View in Article CrossRef Google Scholar

    [456] Cui, P., Peng, J., Shi, P., et al. (2021). Scientific challenges of research on natural hazards and disaster risk. Geography and Sustainability 2, 216−223.

    View in Article CrossRef Google Scholar

    [457] Wei, K., Ouyang, C., Duan, H., et al. (2020). Reflections on the Catastrophic 2020 Yangtze River basin flooding in Southern China. The Innovation 1, 100038, 10.1016/j.xinn.2020.100038.

    View in Article Google Scholar

    [458] Jiang, W., Niu, Z., Wang, L., et al. (2022). Impacts of drought and climatic factors on vegetation dynamics in the Yellow River Basin and Yangtze River Basin, China. Remote Sens. 14.

    View in Article Google Scholar

    [459] Ma, M., Qu, Y., Lyu, J., et al. (2022). The 2022 extreme drought in the Yangtze River Basin: Characteristics, causes and response strategies. River 1, 162−171.

    View in Article CrossRef Google Scholar

    [460] Kim, J., Lee, J., Hwang, S., and Kang, J. (2022). Urban flood adaptation and optimization for net-zero: Case study of Dongjak-gu, Seoul. J. hydrol. reg. stud. 41, 101110.

    View in Article CrossRef Google Scholar

    [461] Zheng, Q., Shen, S.L., Zhou, A., and Lyu, H.M. (2022). Inundation risk assessment based on G-DEMATEL-AHP and its application to Zhengzhou flooding disaster. Sustain. cities. soc. 86, 104138.

    View in Article CrossRef Google Scholar

    [462] Simpson, N.P., Mach, K.J., Constable, A., et al. (2021). A framework for complex climate change risk assessment. One Earth 4, 489−501.

    View in Article CrossRef Google Scholar

    [463] IPCC (2012). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change In C.B., V. Barros, T.F. Stocker, et al., eds.

    View in Article Google Scholar

    [464] Poumadere, M., Mays, C., Le Mer, S., and Blong, R. (2005). The 2003 heat wave in France: dangerous climate change here and now. RISK ANAL. 25, 1483−1494.

    View in Article CrossRef Google Scholar

    [465] Luther, J., Hainsworth, A., Tang, X., et al. (2017). World Meteorological Organization (WMO)—concerted international efforts for advancing multi-hazard early warning systems. In K. Sassa, M. Mikoš, and Y. Yin, eds. Advancing culture of living with landslides. Springer International Publishing.

    View in Article Google Scholar

    [466] Owusu, S., Wright, G., and Arthur, S. (2015). Public attitudes towards flooding and property-level flood protection measures. Nat. Hazards 77, 1963−1978.

    View in Article CrossRef Google Scholar

    [467] Dwivedi, Y.K., Hughes, L., Kar, A.K., et al. (2022). Climate change and COP26: are digital technologies and information management part of the problem or the solution. An editorial reflection and call to action. Int. J. Inf. Manage. 63, 102456.

    View in Article Google Scholar

    [468] Jiang, L.W., and O'Neill, B.C. (2017). Global urbanization projections for the Shared Socioeconomic Pathways. Global Environ. Change-Human Policy Dim. 42, 193−199.

    View in Article CrossRef Google Scholar

    [469] Barthel, S., Isendahl, C., Vis, B.N., et al. (2019). Global urbanization and food production in direct competition for land: Leverage places to mitigate impacts on SDG2 and on the Earth System. Anthr. Rev. 6, 71−97.

    View in Article Google Scholar

    [470] Evans, D.L., Vis, B.N., Dunning, N.P., et al. (2021). Buried solutions: how Maya urban life substantiates soil connectivity. Geoderma 387, 114925.

    View in Article CrossRef Google Scholar

    [471] O'Riordan, R., Davies, J., Stevens, C., et al. (2021). The ecosystem services of urban soils: a review. Geoderma 395, 115076.

    View in Article CrossRef Google Scholar

    [472] De la Sota, C., Ruffato-Ferreira, V.J., Ruiz-Garcia, L., and Alvarez, S. (2019). Urban green infrastructure as a strategy of climate change mitigation. A case study in northern Spain. Urban For. Urban Gree. 40, 145−151.

    View in Article Google Scholar

    [473] Vasenev, V., and Kuzyakov, Y. (2018). Urban soils as hot spots of anthropogenic carbon accumulation: Review of stocks, mechanisms and driving factors. Land Degrad. Dev. 29, 1607−1622.

    View in Article CrossRef Google Scholar

    [474] Wang, Y., Bakker, F., de Groot, R., et al. (2015). Effects of urban green infrastructure (UGI) on local outdoor microclimate during the growing season. Environ. Monit. Assess 187, 732.

    View in Article CrossRef Google Scholar

    [475] Marando, F., Heris, M.P., Zulian, G., et al. (2022). Urban heat island mitigation by green infrastructure in European Functional Urban Areas. Sustain. Cities Soc. 77, 103564.

    View in Article CrossRef Google Scholar

    [476] Yao, Y.B., Wang, Y.F., Ni, Z.B., et al. (2022). Improving air quality in Guangzhou with urban green infrastructure planning: an i-Tree Eco model study. J. Clean. Prod. 369, 133372.

    View in Article CrossRef Google Scholar

    [477] Molla, M. (2015). The Value of Urban Green Infrastructure and Its Environmental Response in Urban Ecosystem: a Literature Review. Int. J. Environ. Sci. 4, 4−183.

    View in Article Google Scholar

    [478] Evans, D.L., Falagan, N., Hardman, C.A., et al. (2022). Ecosystem service delivery by urban agriculture and green infrastructure-a systematic review. Ecosyst. Serv 54, 101405.

    View in Article CrossRef Google Scholar

    [479] Walsh, L.E., Mead, B.R., Hardman, C.A., et al. (2022). Potential of urban green spaces for supporting horticultural production: a national scale analysis. ENVIRON RES LETT 17, 014052.

    View in Article CrossRef Google Scholar

    [480] Rawlins, B.G., Harris, J., Price, S., and Bartlett, M. (2013). A review of climate change impacts on urban soil functions with examples and policy insights from England, UK. Soil Use Manag 31, 46−61.

    View in Article Google Scholar

    [481] Prokop, G., Jobstmann, H., and Schönbauer, A. (2011). Overview of best practices for limiting soil sealing or mitigating its effects in EU-27. European Communities.

    View in Article Google Scholar

    [482] Ge, W., Deng, L., Wang, F., and Han, J. (2021). Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016. Sci. Total Environ. 773, 145648.

    View in Article CrossRef Google Scholar

    [483] UNEP (2021). Patricia Espinosa Outlines the Four Keys to Success at COP26. United Nations Framework Convention on Climate Change. https://unfccc.int/news/patricia-espinosa-outlines-the-four-keys-to-success-at-cop26.

    View in Article Google Scholar

    [484] Rübbelke, D., and Vögele, S. (2011). Impacts of climate change on European critical infrastructures: The case of the power sector. Environ. Sci. Policy 14, 53−63.

    View in Article CrossRef Google Scholar

    [485] Schweikert, A., Chinowsky, P., Espinet, X., and Tarbert, M. (2014). Climate Change and Infrastructure Impacts: Comparing the Impact on Roads in ten Countries through 2100. Procedia Eng. 78, 306−316.

    View in Article CrossRef Google Scholar

    [486] Li, Q., Punzo, G., Robson, C., et al. (2022). A Novel Approach to Climate Resilience of Infrastructure Networks. ArXiv abs/2211.10132.

    View in Article Google Scholar

    [487] Kumar, P., Debele, S.E., Sahani, J., et al. (2020). Towards an operationalisation of nature-based solutions for natural hazards. Sci.Total Environ. 731, 138855.

    View in Article CrossRef Google Scholar

    [488] Chen, H., and Sun, J. (2021). Significant Increase of the Global Population Exposure to Increased Precipitation Extremes in the Future. Earth's Future 9, e2020EF001941.

    View in Article Google Scholar

    [489] Wang, T., Qu, Z., Yang, Z., et al. (2020). Impact analysis of climate change on rail systems for adaptation planning: A UK case. transport. res. d-tr. e. 83, 102324.

    View in Article CrossRef Google Scholar

    [490] Palin, E.J., Thornton, H.E., Mathison, C.T., et al. (2013). Future projections of temperature-related climate change impacts on the railway network of Great Britain. Clim. Change 120, 71−93.

    View in Article CrossRef Google Scholar

    [491] Jaroszweski, D., Wood, R., and Chapman, L. (2021). Infrastructure. In: The Third UK Climate Change Risk Assessment Technical Report. In R.A. Betts, A.B. Haward, and K.V. Pearson, eds. Prepared for the Climate Change Committee.

    View in Article Google Scholar

    [492] Kumar, P., Debele, S.E., Sahani, J., et al. (2021). Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations. Sci.Total Environ. 784, 147058.

    View in Article CrossRef Google Scholar

    [493] Debele, S.E., Kumar, P., Sahani, J., et al. (2019). Nature-based solutions for hydro-meteorological hazards: Revised concepts, classification schemes and databases. ENVIRON RES 179, 108799.

    View in Article CrossRef Google Scholar

    [494] Zeleňáková, M., Purcz, P., Hlavatá, H., and Blišťan, P. (2015). Climate Change in Urban Versus Rural Areas. Procedia Eng. 119, 1171−1180.

    View in Article CrossRef Google Scholar

    [495] Chen, B., and Chu, L. (2022). Decoupling the double jeopardy of climate risk and fiscal risk: A perspective of infrastructure investment. Clim. Risk Manag. 37, 100448.

    View in Article CrossRef Google Scholar

    [496] Zeppel, M.J.B., Wilks, J.V., and Lewis, J.D. (2014). Impacts of extreme precipitation and seasonal changes in precipitation on plants. Biogeosciences 11, 3083−3093.

    View in Article CrossRef Google Scholar

    [497] Cai, H., Wang, Y., Zhao, T., and Zhang, H. (2023). A general unit hydrograph distribution and its application on the marginal distribution of global wind speed. Sustainable Horizons 6, 100056.

    View in Article CrossRef Google Scholar

    [498] Wada, C., Bremer, L., Burnett, K., et al. (2017). Estimating cost-effectiveness of Hawaiian dry forest restoration using spatial changes in water yield and landscape flammability under climate change. Pac. Sci. 71, 401−424.

    View in Article CrossRef Google Scholar

    [499] Krauss, K.W., Cormier, N., Osland, M.J., et al. (2017). Created mangrove wetlands store belowground carbon and surface elevation change enables them to adjust to sea-level rise. Sci. Rep. 7, 1030.

    View in Article CrossRef Google Scholar

    [500] Langridge, S.M., Hartge, E.H., Clark, R., et al. (2014). Key lessons for incorporating natural infrastructure into regional climate adaptation planning. Ocean Coast Manag. 95, 189−197.

    View in Article CrossRef Google Scholar

    [501] Vallejo, L., and Mullan, M. (2017). Climate-resilient infrastructure. http://portal.gms-eoc.org/uploads/resources/3383/attachment/Climate-resilient%20infrastructure%20-%20Getting%20the%20policies%20right.pdf

    View in Article Google Scholar

    [502] Gurney, K.R., Romero-Lankao, P., Seto, K.C., et al. (2015). Climate change: Track urban emissions on a human scale. Nature 525, 179−181.

    View in Article CrossRef Google Scholar

    [503] IPCC (2023). AR6 synthesis report: climate change 2023. Summary for policymakers. Intergovernmental Panel on Climate Change. https://www.ipcc.ch/report/ar6/wg2/.

    View in Article Google Scholar

    [504] Sharifi, A. (2021). Co-benefits and synergies between urban climate change mitigation and adaptation measures: a literature review. Sci. Total Environ. 750, 141642.

    View in Article CrossRef Google Scholar

    [505] Daniel, R., Cortesão, J., Steeneveld, G.-J., et al. (2023). Performance of urban climate-responsive design interventions in combining climate adaptation and mitigation. Build. Environ. 236, 110227.

    View in Article CrossRef Google Scholar

    [506] Schwaab, J., Meier, R., Mussetti, G., et al. (2021). The role of urban trees in reducing land surface temperatures in European cities. Nat. Commun. 12, 6763.

    View in Article CrossRef Google Scholar

    [507] Selbig, W.R., Loheide, S.P., Shuster, W., et al. (2022). Quantifying the stormwater runoff volume reduction benefits of urban street tree canopy. Sci. Total Environ. 806, 151296.

    View in Article CrossRef Google Scholar

    [508] Shahzad, H., Myers, B., Boland, J., et al. (2022). Stormwater runoff reduction benefits of distributed curbside infiltration devices in an urban catchment. Water Res. 215, 118273.

    View in Article CrossRef Google Scholar

    [509] Willis, K.J., and Petrokofsky, G. (2017). The natural capital of city trees. Science 356, 374−376.

    View in Article Google Scholar

    [510] Liu, N., and Morawska, L. (2020). Modeling the urban heat island mitigation effect of cool coatings in realistic urban morphology. J. Clean. Prod. 264, 121560.

    View in Article CrossRef Google Scholar

    [511] Santamouris, M., Ding, L., Fiorito, F., et al. (2017). Passive and active cooling for the outdoor built environment – Analysis and assessment of the cooling potential of mitigation technologies using performance data from 220 large scale projects. Sol. Energy 154, 14−33.

    View in Article CrossRef Google Scholar

    [512] Wardeh, Y., Kinab, E., Escadeillas, G., et al. (2022). Review of the optimization techniques for cool pavements solutions to mitigate Urban Heat Islands. Build. Environ. 223, 109482.

    View in Article CrossRef Google Scholar

    [513] Kalkstein, L.S., Eisenman, D.P., de Guzman, E.B., and Sailor, D.J. (2022). Increasing trees and high-albedo surfaces decreases heat impacts and mortality in Los Angeles, CA. Int. J. Biometeorol. 66, 911−925.

    View in Article CrossRef Google Scholar

    [514] Ossola, A., and Lin, B.B. (2021). Making nature-based solutions climate-ready for the 50 °C world. Environ. Sci. Policy 123, 151−159.

    View in Article CrossRef Google Scholar

    [515] Axinte, L.F., Mehmood, A., Marsden, T., and Roep, D. (2019). Regenerative city-regions: a new conceptual framework. Reg. Stud. Reg. Sci. 6, 117−129.

    View in Article Google Scholar

    [516] Thomson, G., and Newman, P. (2018). Urban fabrics and urban metabolism – from sustainable to regenerative cities. Resour. Conserv. Recycl. 132, 218−229.

    View in Article CrossRef Google Scholar

    [517] Park, S.K. (2021). Legal strategy disrupted: managing climate change and regulatory transformation. Am. Bus. Law. J. 58, 711−749.

    View in Article CrossRef Google Scholar

    [518] Ronja, B., Emma, C., Andrea, B., et al. (2022). The value of incorporating nature in urban infrastructure planning. International Institute for Sustainable Development. https://www.iisd.org/publications/report/nature-in-urban-infrastructure-planning.

    View in Article Google Scholar

    [519] Chausson, A., Turner, B., Seddon, D., et al. (2020). Mapping the effectiveness of nature-based solutions for climate change adaptation. Global Change Biol. 26, 6134−6155.

    View in Article CrossRef Google Scholar

    [520] Kumar, P. (2021). Climate change and cities: challenges ahead. Front. Environ. Sci. 3, 645613.

    View in Article Google Scholar

    [521] Gill, S.E., Handley, J., Ennos, A.R., and Pauleit, S. (2007). Adapting cities for climate change: the role of the green infrastructure. Built Environment 33, 115−133.

    View in Article CrossRef Google Scholar

    [522] Kumar, P., Druckman, A., Gallagher, J., et al. (2019). The nexus between air pollution, green infrastructure and human health. Environ. Int. 133, 105181.

    View in Article CrossRef Google Scholar

    [523] Sahani, J., Kumar, P., Debele, S., et al. (2019). Hydro-meteorological risk assessment methods and management by nature-based solutions. Sci. Total Environ. 696, 133936.

    View in Article CrossRef Google Scholar

    [524] Jing, R., Wang, X., Zhao, Y., et al. (2021). Planning urban energy systems adapting to extreme weather. Adv. Appl. Energy 3, 100053.

    View in Article CrossRef Google Scholar

    [525] Nik, V.M., Perera, A.T.D., and Chen, D. (2020). Towards climate resilient urban energy systems: a review. Natl. Sci. Rev. 8, nwaa134.

    View in Article Google Scholar

    [526] MacArthur, J.L., Hoicka, C.E., Castleden, H., et al. (2020). Canada's green new deal: forging the socio-political foundations of climate resilient infrastructure. Energy Res. Soc. Sci. 65, 101442.

    View in Article CrossRef Google Scholar

    [527] Meyer, P.B., and Schwarze, R. (2019). Financing climate-resilient infrastructure: Determining risk, reward, and return on investment. Front. Eng. Manage. 6, 117−127.

    View in Article CrossRef Google Scholar

    [528] Walkley, A., and Black, I.A. (1934). An examination of the degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Sci. 37, 29−38.

    View in Article CrossRef Google Scholar

    [529] Davies, B.E. (1974). Loss-on-ignition as an estimate of soil organic matter. Soil Sci. Soc. Am. J. 38, 150−151.

    View in Article CrossRef Google Scholar

    [530] Tabatabai, M.A., and Bremner, J.M. (1970). Use of the Leco Automatic 70-Second Carbon Analyzer for total carbon analysis of soils. Soil Sci. Soc. Am. J. 34, 608−610.

    View in Article CrossRef Google Scholar

    [531] G. R. BLAKE, and HARTGE, K.H. (1986). Bulk density. In methods of soil analasis Part 1 physical and mineralogical methods, A. Klute, ed. (American Society of Agronomy, Soil Science Society of America.), 363–375.

    View in Article Google Scholar

    [532] Angelopoulou, T., Balafoutis, A., Zalidis, G., and Bochtis, D. (2020). From Laboratory to proximal sensing spectroscopy for soil organic carbon estimation—a review. Sustainability 12, 443.

    View in Article CrossRef Google Scholar

    [533] Tang, Y., Jones, E., and Minasny, B. (2020). Evaluating low-cost portable near infrared sensors for rapid analysis of soils from South Eastern Australia. Geoderma Reg. 20, e00240.

    View in Article CrossRef Google Scholar

    [534] Li, S., Viscarra Rossel, R.A., and Webster, R. (2021). The cost-effectiveness of reflectance spectroscopy for estimating soil organic carbon. Eur. J. Soil Sci. 73, e13202.

    View in Article Google Scholar

    [535] Clingensmith, C.M., and Grunwald, S. (2022). Predicting soil properties and interpreting Vis-NIR Models from acrosscontinental United States. Sensors 22, 3187.

    View in Article CrossRef Google Scholar

    [536] Demattê, J.A.M., Dotto, A.C., Paiva, A.F.S., et al. (2019). The Brazilian soil spectral library (BSSL): a general view, application and challenges. Geoderma 354, 113793.

    View in Article CrossRef Google Scholar

    [537] Jia, X., Chen, S., Yang, Y., et al. (2017). Organic carbon prediction in soil cores using VNIR and MIR techniques in an alpine landscape. Sci. Rep. 7, 2144.

    View in Article CrossRef Google Scholar

    [538] Knox, N.M., Grunwald, S., McDowell, M.L., et al. (2015). Modelling soil carbon fractions with visible near-infrared (VNIR) and mid-infrared (MIR) spectroscopy. Geoderma. 239-240, 229−239.

    View in Article Google Scholar

    [539] Shi, Z., Wang, Q., Peng, J., et al. (2014). Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations. Sci. China: Earth Sci. 57, 1671−1680.

    View in Article CrossRef Google Scholar

    [540] Stevens, A., Nocita, M., Tóth, G., et al. (2013). Prediction of soil organic carbon at the European scale by visible and near infrared reflectance spectroscopy. PLoS One 8, e66409.

    View in Article CrossRef Google Scholar

    [541] Viscarra Rossel, R.A., Behrens, T., Ben-Dor, E., et al. (2016). A global spectral library to characterize the world's soil. Earth-Sci. Rev. 155, 198−230.

    View in Article CrossRef Google Scholar

    [542] Wijewardane, N.K., Ge, Y., Wills, S., and Loecke, T. (2016). Prediction of soil carbon in the conterminous United States: visible and near infrared reflectance spectroscopy Analysis of the rapid carbon assessment Project. Soil Sci. Soc. Am. J. 80, 973−982.

    View in Article CrossRef Google Scholar

    [543] Parducci, A., De Souza, D., Camargo, T., et al. (2019). Analyzing soil fertility by chemical and physical parameters using visible and near-infrared reflectance (VIS-NIR) spectroscopy, involves combining use of VIS-NIR spectrophotometer, SpecSoil-Scan with respective digital platform. SPECLAB HOLDING SA (SPEC-Non-standard) EMPRESA BRASIL PESQUISA AGROPECUARIA (EMPR-Non-standard).

    View in Article Google Scholar

    [544] Safanelli, J.L., Hengl, T., Sanderman, J., and Parente, L. (2021). Open soil spectral library (training data and calibration models) (Zenodo)L. https://zenodo.org/record/5805138#.ZJAOg8j-elw.

    View in Article Google Scholar

    [545] Laboratories, H. (2022). Anlysis of soils using near infrared spectroscopy. Hill Laboratories. https://www.hill-laboratories.com/assets/Documents/Technical-Notes/Agriculture/35398v4View.pdf.

    View in Article Google Scholar

    [546] Reijneveld, J.A., van Oostrum, M.J., Brolsma, K.M., et al. (2022). Empower Innovations in Routine Soil Testing. Agronomy 12, 191.

    View in Article CrossRef Google Scholar

    [547] Semella, S., Hutengs, C., Seidel, M., et al. (2022). Accuracy and reproducibility of laboratory diffuse reflectance measurements with portable VNIR and MIR spectrometers for predictive soil organic carbon modeling. Sensors 22, 2749.

    View in Article CrossRef Google Scholar

    [548] Cambou, A., Allory, V., Cardinael, R., et al. (2021). Comparison of soil organic carbon stocks predicted using visible and near infrared reflectance (VNIR) spectra acquired in situ vs. on sieved dried samples: Synthesis of different studies. Soil Sec. 5, 100024.

    View in Article Google Scholar

    [549] Avand, M., Moradi, H., and lasboyee, M.R. (2021). Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability. J. Hydrol. 595, 125663.

    View in Article CrossRef Google Scholar

    [550] West, H., Quinn, N., and Horswell, M. (2019). Remote sensing for drought monitoring & impact assessment: progress, past challenges and future opportunities. Remote Sens. Environ. 232, 111291.

    View in Article CrossRef Google Scholar

    [551] Feng, Y., Negrón-Juárez, R.I., and Chambers, J.Q. (2020). Remote sensing and statistical analysis of the effects of hurricane María on the forests of Puerto Rico. Remote Sens. Environ. 247, 111940.

    View in Article CrossRef Google Scholar

    [552] Igun, E., Xu, X., Hu, Y., and Jia, G. (2022). Strong heatwaves with widespread urban-related hotspots over Africa in 2019. Atmos. Oceanic Sci. Lett. 15, 100195.

    View in Article CrossRef Google Scholar

    [553] Wei, M., Zhang, Z., Long, T., et al. (2021). Monitoring landsat based burned area as an indicator of sustainable development goals. Earth's Future 9, e2020EF001960.

    View in Article Google Scholar

    [554] WMO (2022). State of the global climate 2021. World Meteorological Organization. https://library.wmo.int/doc_num.php?explnum_id=11178.

    View in Article Google Scholar

    [555] Huang, N., Wang, L., Zhang, Y., et al. (2021). Estimating the net ecosystem exchange at global FLUXNET sites using a random forest model. IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. 14, 9826−9836.

    View in Article CrossRef Google Scholar

    [556] Yao, T., Bolch, T., Chen, D., et al. (2022). The imbalance of the Asian water tower. Nat. Rev. Earth Environ. 3, 618−632.

    View in Article CrossRef Google Scholar

    [557] Hugonnet, R., McNabb, R., Berthier, E., et al. (2021). Accelerated global glacier mass loss in the early twenty-first century. Nature 592, 726−731.

    View in Article CrossRef Google Scholar

    [558] Su, H., Jiang, J., Wang, A., et al. (2022). Subsurface temperature reconstruction for the global ocean from 1993 to 2020 using satellite observations and deep learning. Remote Sens. 14, 3198.

    View in Article CrossRef Google Scholar

    [559] Su, H., Zhang, T., Lin, M., et al. (2021). Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks. Remote Sens. Environ. 260, 112465.

    View in Article CrossRef Google Scholar

    [560] Ehret, T., De Truchis, A., Mazzolini, M., et al. (2022). Global tracking and quantification of oil and gas methane emissions from recurrent sentinel-2 imagery. Environ. Sci. Technol. 56, 10517−10529.

    View in Article CrossRef Google Scholar

    [561] Stark, H., Moeller, H., Courreges-Lacoste, G., et al. (2013). The Sentinel-4 mission and its implementation. https://www-cdn.eumetsat.int/files/2020-04/pdf_conf_p_s1_10_stark_v.pdf

    View in Article Google Scholar

    [562] Quesada-Ruiz, S., Attié, J.L., Lahoz, W.A., et al. (2020). Benefit of ozone observations from Sentinel-5P and future Sentinel-4 missions on tropospheric composition. Atmos. Meas. Tech. 13, 131−152.

    View in Article CrossRef Google Scholar

    [563] Peng, Z., Lin, C., Di, X., and Zhe, X. (2018). Recent progress of Fengyun meteorology satellites. Chinese J. Space Sci. 38, 788−796.

    View in Article CrossRef Google Scholar

    [564] Zhu, L., Wang, M., Shao, J., et al. (2015). Remote sensing of global volcanic eruptions using Fengyun series satellites. IEEE Int. Geosci. Remote Sens. Symp. 4797-4800.

    View in Article Google Scholar

    [565] Li, C., Cai, R., Tian, W., et al. (2023). Land cover classification by Gaofen satellite images based on CART algorithm in Yuli County, Xinjiang, China. Sustainability 15, 2535.

    View in Article CrossRef Google Scholar

    [566] Zhang, W., and Dong, Y. (2022). Research on flood remote sensing monitoring based on multi-source remote sensing data. 2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS). https://ieeexplore.ieee.org/document/9849315.

    View in Article Google Scholar

    [567] Chen, J.M., Ju, W., Ciais, P., et al. (2019). Vegetation structural change since 1981 significantly enhanced the terrestrial carbon sink. Nat. Commun. 10, 4259.

    View in Article CrossRef Google Scholar

    [568] Huang, L., Li, Z., Zhou, J.M., and Zhang, P. (2021). An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018. Remote Sens. Environ. 258, 112376.

    View in Article CrossRef Google Scholar

    [569] Myneni, R.B., Keeling, C.D., Tucker, C.J., et al. (1997). Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 386, 698−702.

    View in Article CrossRef Google Scholar

    [570] Piao, S., Wang, X., Park, T., et al. (2020). Characteristics, drivers and feedbacks of global greening. Nat. Rev. Earth Environ. 1, 14−27.

    View in Article Google Scholar

    [571] Fan, L., Wigneron, J.-P., Ciais, P., et al. (2023). Siberian carbon sink reduced by forest disturbances. Nat. Geosci. 16, 56−62.

    View in Article CrossRef Google Scholar

    [572] WIGNERON, J.P., and CIAIS, P. (2022). Rôle des forêts dans le bilan de carbone de la planète. https://planet-vie.ens.fr/thematiques/ecologie/cycles-biogeochimiques/role-des-forets-dans-le-bilan-de-carbone-de-la-planete#:~:text=%C3%80%20l%27%C3%A9chelle%20de%20la%20plan%C3%A8te%2C%20les%20for%C3%AAts%20constituent,en%20effet%20de%20diff%C3%A9rents%20facteurs%20naturels%20et%20anthropiques.

    View in Article Google Scholar

    [573] Bouvet, A., Mermoz, S., Le Toan, T., et al. (2018). An above-ground biomass map of African savannahs and woodlands at 25m resolution derived from ALOS PALSAR. Remote Sens. Environ. 206, 156−173.

    View in Article CrossRef Google Scholar

    [574] Wigneron, J.P., Fan, L., Ciais, P., et al. (2020). Tropical forests did not recover from the strong 2015–2016 El Niño event. Sci. Adv. 6, eaay4603.

    View in Article CrossRef Google Scholar

    [575] Qin, Y., Xiao, X., Wigneron, J.-P., et al. (2022). Large loss and rapid recovery of vegetation cover and aboveground biomass over forest areas in Australia during 2019–2020. Remote Sens. Environ. 278, 113087.

    View in Article CrossRef Google Scholar

    [576] Dubayah, R., Armston, J., Healey, S.P., et al. (2022). GEDI launches a new era of biomass inference from space. Environ. Res. Lett. 17, 095001.

    View in Article CrossRef Google Scholar

    [577] Tucker, C., Brandt, M., Hiernaux, P., et al. (2023). Sub-continental-scale carbon stocks of individual trees in African drylands. Nature 615, 80−86.

    View in Article CrossRef Google Scholar

    [578] Mugabowindekwe, M., Brandt, M., Chave, J., et al. (2023). Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda. Nat. Clim. Change 13, 91−97.

    View in Article CrossRef Google Scholar

    [579] Potapov, P., Li, X., Hernandez-Serna, A., et al. (2021). Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sens. Environ. 253, 112165.

    View in Article CrossRef Google Scholar

    [580] Liu, S., Brandt, M., Nord-Larsen, T., et al. (2023). The overlooked contribution of trees outside forests to tree cover and woody biomass across Europe.

    View in Article Google Scholar

    [581] Schwartz, M., Ciais, P., Ottl'e, C., et al. (2022). High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach. ArXiv abs/2212.10265.

    View in Article Google Scholar

    [582] Grunwald, S. (2021). Grand challenges in pedometrics-AI research. Front. in Soil Sci. 1, 714323.

    View in Article CrossRef Google Scholar

    [583] S. Russell, and Norvig, P. (2020). Artificial intelligence: a modern approach (Pearson)L. https://www.pearson.com/en-us/subject-catalog/p/Russell-Artificial-Intelligence-A-Modern-Approach-4th-Edition/P200000003500/9780137505135.

    View in Article Google Scholar

    [584] LeCun, Y., Bengio, Y., and Hinton, G. (2015). Deep learning. Nature 521, 436−444.

    View in Article CrossRef Google Scholar

    [585] Mizuta, K., Grunwald, S., Phillips, M.A., et al. (2021). Sensitivity assessment of metafrontier data envelopment analysis for soil carbon sequestration efficiency. Ecol. Indic. 125, 107602.

    View in Article CrossRef Google Scholar

    [586] Khaledian, Y., and Miller, B.A. (2020). Selecting appropriate machine learning methods for digital soil mapping. Appl. Math. Model. 81, 401−418.

    View in Article CrossRef Google Scholar

    [587] Grunwald, S. (2022). Artificial intelligence and soil carbon modeling demystified: power, potentials, and perils. Carbon Footprints 1, 6.

    View in Article CrossRef Google Scholar

    [588] Lu, H., Li, S., Ma, M., et al. (2021). Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models. Environ. Res. Lett. 16, 054048.

    View in Article CrossRef Google Scholar

    [589] Grunwald, S., Thompson, J.A., and Boettinger, J.L. (2011). Digital soil mapping and modeling at continental scales: finding solutions for global issues. Soil Sci. Soc. Am. J. 75, 1201−1213.

    View in Article CrossRef Google Scholar

    [590] McBratney, A.B., Mendonça Santos, M.L., and Minasny, B. (2003). On digital soil mapping. Geoderma 117, 3−52.

    View in Article CrossRef Google Scholar

    [591] Ainsworth, E.A., and Long, S.P. (2021). 30 years of free-air carbon dioxide enrichment (FACE): What have we learned about future crop productivity and its potential for adaptation. Global Change Biol. 27, 27−49.

    View in Article CrossRef Google Scholar

    [592] Okada, M., Lieffering, M., Nakamura, H., et al. (2001). Free-air CO2 enrichment (FACE) using pure CO2 injection: System description. New Phytol. 150, 251−260.

    View in Article CrossRef Google Scholar

    [593] Kimball, B.A. (2016). Crop responses to elevated CO2 and interactions with H2O, N, and temperature. Curr. Opin. Plant Biol. 31, 36−43.

    View in Article CrossRef Google Scholar

    [594] Long, S.P., Ainsworth, E.A., Leakey, A.D.B., et al. (2006). Food for thought: Lower-than-expected crop yield simulation with rising CO2 concentrations. Science 312, 1918−1921.

    View in Article CrossRef Google Scholar

    [595] Ainsworth, E.A., and Long, S.P. (2005). What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. New Phytol. 165, 351−372.

    View in Article Google Scholar

    [596] Allen, L.H., Kimball, B.A., Bunce, J.A., et al. (2020). Fluctuations of CO2 in free-air CO2 enrichment (FACE) depress plant photosynthesis, growth, and yield. Agric. For. Meteorol. 284, 107899.

    View in Article CrossRef Google Scholar

    [597] Drag, D.W., Slattery, R., Siebers, M., et al. (2020). Soybean photosynthetic and biomass responses to carbon dioxide concentrations ranging from pre-industrial to the distant future. J. Exp. Bot. 71, 3690−3700.

    View in Article CrossRef Google Scholar

    [598] Rich, R.L., Stefanski, A., Montgomery, R.A., et al. (2015). Design and performance of combined infrared canopy and belowground warming in the B4WarmED (Boreal Forest Warming at an Ecotone in Danger) experiment. Global Change Biol. 21, 2334−2348.

    View in Article CrossRef Google Scholar

    [599] Noyce, G.L., Kirwan, M.L., Rich, R.L., and Megonigal, J.P. (2019). Asynchronous nitrogen supply and demand produce nonlinear plant allocation responses to warming and elevated CO2. Proc. Natl. Acad. Sci. USA 116, 21623−21628.

    View in Article CrossRef Google Scholar

    [600] Cai, C., Yin, X., He, S., et al. (2016). Responses of wheat and rice to factorial combinations of ambient and elevated CO2 and temperature in FACE experiments. Global Change Biol. 22, 856−874.

    View in Article CrossRef Google Scholar

    [601] Kimball, B.A., Conley, M.M., Wang, S., et al. (2008). Infrared heater arrays for warming ecosystem field plots. Global Change Biol. 14, 309−320.

    View in Article CrossRef Google Scholar

    [602] Peng, B., Guan, K., Tang, J., et al. (2020). Towards a multiscale crop modelling framework for climate change adaptation assessment. Nat. Plants 6, 338−348.

    View in Article CrossRef Google Scholar

    [603] Yahdjian, L., and Sala, O.E. (2002). A rainout shelter design for intercepting different amounts of rainfall. Oecologia 133, 95−101.

    View in Article CrossRef Google Scholar

    [604] Martinez-Meza, E., and Whitford, W.G. (1996). Stemflow, throughfall and channelization of stemflow by roots in three Chihuahuan desert shrubs. J. Arid Environ. 32, 271−287.

    View in Article CrossRef Google Scholar

    [605] Gomez-Gomez, J.-d.-D., Pulido-Velazquez, D., Collados-Lara, A.-J., and Fernandez-Chacon, F. (2022). The impact of climate change scenarios on droughts and their propagation in an arid Mediterranean basin. A useful approach for planning adaptation strategies. Sci. Total Environ. 820, 153128.

    View in Article Google Scholar

    [606] Calel, R. (2013). Carbon markets: a historical overview. WIREs Clim. Change 4, 107−119.

    View in Article CrossRef Google Scholar

    [607] UN (1998). Kyoto protocol to the United Nations Framework Convention on climate change. United Nations. https://unfccc.int/resource/docs/convkp/kpeng.pdf.

    View in Article Google Scholar

    [608] Lovell, H.C. (2010). Governing the carbon offset market. WIREs Clim. Change 1, 353−362.

    View in Article CrossRef Google Scholar

    [609] Michaelowa, A., Shishlov, I., and Brescia, D. (2019). Evolution of international carbon markets: lessons for the Paris Agreement. WIREs Clim. Change 10, e613.

    View in Article Google Scholar

    [610] Fuss, S., Lamb, W.F., Callaghan, M.W., et al. (2018). Negative emissions—part 2: costs, potentials and side effects. Environ. Res. Lett. 13, 063002.

    View in Article CrossRef Google Scholar

    [611] Ruseva, T., Hedrick, J., Marland, G., et al. (2020). Rethinking standards of permanence for terrestrial and coastal carbon: implications for governance and sustainability. Curr. Opin. Environ. Sustain. 45, 69−77.

    View in Article CrossRef Google Scholar

    [612] Linsenmeier, M., Mohommad, A., and Schwerhoff, G. (2022). Policy sequencing towards carbon pricing among the world’s largest emitters. Nat. Clim. Change 12, 1107−1110.

    View in Article CrossRef Google Scholar

    [613] UNCC (2022). About carbon pricing. United Nations Climate Change. https://unfccc.int/about-us/regional-collaboration-centres/the-ciaca/about-carbon-pricing.

    View in Article Google Scholar

    [614] Bechtel, M.M., Scheve, K.F., and van Lieshout, E. (2020). Constant carbon pricing increases support for climate action compared to ramping up costs over time. Nat. Clim. Change 10, 1004−1009.

    View in Article CrossRef Google Scholar

    [615] Bank, W. (2022). State and Trends of Carbon Pricing 2022. In state and trends of carbon pricing, (World Bank). https://openknowledge.worldbank.org/handle/10986/37455.

    View in Article Google Scholar

    [616] Wei, Y.M., Mi, Z.F., and Huang, Z. (2015). Climate policy modeling: an online SCI-E and SSCI based literature review. Omega 57, 70−84.

    View in Article CrossRef Google Scholar

    [617] Mildenberger, M., Lachapelle, E., Harrison, K., and Stadelmann-Steffen, I. (2022). Limited impacts of carbon tax rebate programmes on public support for carbon pricing. Nat. Clim. Change 12, 141−147.

    View in Article CrossRef Google Scholar

    [618] Cong, R.G., and Wei, Y.M. (2010). Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options. Energy 35, 3921−3931.

    View in Article CrossRef Google Scholar

    [619] Cong, R.G., and Wei, Y.M. (2012). Experimental comparison of impact of auction format on carbon allowance market. Renew. Sust. Energ. Rev. 16, 4148−4156.

    View in Article CrossRef Google Scholar

    [620] Hepburn, C. (2017). Make carbon pricing a priority. Nat. Clim. Change 7, 389−390.

    View in Article CrossRef Google Scholar

    [621] Weitzman, M.L. (1974). Prices vs. quantities. Rev. Econ. Stud. 41, 477−491.

    View in Article CrossRef Google Scholar

    [622] Bertram, C., Luderer, G., Pietzcker, R.C., et al. (2015). Complementing carbon prices with technology policies to keep climate targets within reach. Nat. Clim. Change 5, 235−239.

    View in Article CrossRef Google Scholar

    [623] Nordhaus, W.D. (2006). After Kyoto: alternative mechanisms to control global warming. Am. Econ. Rev. 96, 31−34.

    View in Article CrossRef Google Scholar

    [624] EPA. EU emissions trading system. https://climate.ec.europa.eu/eu-action/eu-emissions-trading-system-eu-ets_en.

    View in Article Google Scholar

    [625] IEA (2020). China’s emissions trading scheme. https://www.iea.org/reports/chinas-emissions-trading-scheme.

    View in Article Google Scholar

    [626] Zhang, Z. (2022). China’s carbon market: development, evaluation, coordination of local and national carbon markets, and common prosperity. J. Clim. Fin. 1, 100001.

    View in Article Google Scholar

    [627] Pizer, W.A. (2002). Combining price and quantity controls to mitigate global climate change. J. Public. Econ. 85, 409−434.

    View in Article CrossRef Google Scholar

    [628] Liu, Y., Li, H., Wang, H., et al. (2023). Integrated life cycle analysis of cost and CO2 emissions from vehicles and construction work activities in highway pavement service life. Atmosphere 14, 194.

    View in Article CrossRef Google Scholar

    [629] Paustian, K., Collier, S., Baldock, J., et al. (2019). Quantifying carbon for agricultural soil management: from the current status toward a global soil information system. Carbon Manag. 10, 567−587.

    View in Article CrossRef Google Scholar

    [630] UN (1992). United Nations Framework Convention on climate change. United Nations. https://unfccc.int/resource/docs/convkp/conveng.pdf.

    View in Article Google Scholar

    [631] UNESCO (2009). Report by the director-general on the UNESCO World Conference on education for sustainable development and the bonn declaration. Education for sustainable development – moving into the second half of the United Nations decade. https://unesdoc.unesco.org/ark:/48223/pf0000181881.

    View in Article Google Scholar

    [632] UNESCO (2010). UNESCO strategy for the second half of the United Nations decade of education for sustainable development. United Nations decade of education for sustainable development. https://unesdoc.unesco.org/ark:/48223/pf0000215466.

    View in Article Google Scholar

    [633] Carrico, A.R., Vandenbergh, M.P., Stern, P.C., and Dietz, T. (2015). US climate policy needs behavioural science. Nat. Clim. Change 5, 177−179.

    View in Article CrossRef Google Scholar

    [634] Mochizuki, Y., and Bryan, A. (2015). Climate change education in the context of education for sustainable development: rationale and principles. J. Educ. Sustain. Dev. 9, 4−26.

    View in Article CrossRef Google Scholar

    [635] Anderson, A.H. (2012). Climate change education for mitigation and adaptation. J. Edu. Sustain. Dev. 6, 191−206.

    View in Article CrossRef Google Scholar

    [636] Wouterse, F., Andrijevic, M., and Schaeffer, M. (2022). The microeconomics of adaptation: Evidence from smallholders in Ethiopia and Niger. World Dev. 154, 105884.

    View in Article CrossRef Google Scholar

    [637] Hudson, S.J. (2001). Challenges for environmental education: issues and ideas for the 21st century: environmental education, a vital component of efforts to solve environmental problems, must stay relevant to the needs and interests of the community and yet constantly adapt to the rapidly changing social and technological landscape. Bioscience 51, 283−288.

    View in Article CrossRef Google Scholar

    [638] Allcott, H., and Mullainathan, S. (2010). Behavior and energy policy. Science 327, 1204−1205.

    View in Article CrossRef Google Scholar

    [639] Kollmuss, A., and Agyeman, J. (2002). Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior. Environ. Educ. Res. 8, 239−260.

    View in Article CrossRef Google Scholar

    [640] Brownlee, M.T.J., Powell, R.B., and Hallo, J.C. (2013). A review of the foundational processes that influence beliefs in climate change: opportunities for environmental education research. Environ. Educ. Res. 19, 1−20.

    View in Article CrossRef Google Scholar

    [641] Trott, C.D. (2022). Climate change education for transformation: exploring the affective and attitudinal dimensions of children’s learning and action. Environ. Educ. Res. 28, 1023−1042.

    View in Article CrossRef Google Scholar

    [642] Thaler, R.H. (2018). From cashews to nudges: the evolution of behavioral economics. Am. Econ. Rev. 108, 1265−1287.

    View in Article CrossRef Google Scholar

    [643] Ivanova, D., Stadler, K., Steen-Olsen, K., et al. (2015). Environmental impact assessment of household consumption. J. Ind. Ecol. 20, 12371.

    View in Article Google Scholar

    [644] UNEP (2020). Emissions gap report 2020. United Nations Environment Programme Copenhagen Climate Centre (UNEP-CCC). https://www.unep.org/emissions-gap-report-2020.

    View in Article Google Scholar

    [645] IPCC (2022). Climate change 2022: mitigation of climate change. Contribution of working group III to the sixth assessment report of the intergovernmental panel on climate change. Intergovernmental Panel on Climate Change. https://www.ipcc.ch/report/ar6/wg3/.

    View in Article Google Scholar

    [646] UNEP (2021). Emissions gap report 2021. United Nations Environment Programme Copenhagen Climate Centre (UNEP-CCC). https://unepccc.org/.

    View in Article Google Scholar

    [647] Brizga, J., Feng, K.S., and Hubacek, K. (2017). Household carbon footprints in the Baltic States: A global multi-regional input-output analysis from 1995 to 2011. Appl. Energy 189, 780−788.

    View in Article CrossRef Google Scholar

    [648] Creutzig, F., Roy, J., Lamb, W.F., et al. (2018). Towards demand-side solutions for mitigating climate change. Nat. Clim. Change 8, 268−271.

    View in Article Google Scholar

    [649] van den Berg, N.J., Hof, A.F., Akenji, L., et al. (2019). Improved modelling of lifestyle changes in integrated assessment models: cross-disciplinary insights from methodologies and theories. Energy Strateg. Rev. 26, 100420.

    View in Article CrossRef Google Scholar

    [650] Saujot, M., Le Gallic, T., and Waisman, H. (2021). Lifestyle changes in mitigation pathways: policy and scientific insights. Environ. Res. Lett. 16, 015005.

    View in Article Google Scholar

    [651] Vita, G., Lundstrom, J.R., Hertwich, E.G., et al. (2019). The environmental impact of green consumption and sufficiency lifestyles scenarios in Europe: connecting local sustainability visions to global consequences. Ecol. Econ. 164, 106322.

    View in Article CrossRef Google Scholar

    [652] Ivanova, D., Barrett, J., Wiedenhofer, D., et al. (2020). Quantifying the potential for climate change mitigation of consumption options. Environ. Res. Lett. 15, 093001.

    View in Article CrossRef Google Scholar

    [653] Akenji, L., Bengtsson, M., Toivio, V., et al. (2022). 1.5–degree lifestyles: towards a fair consumption space for all (Hot or Cool Institute)L. https://hotorcool.org/1-5-degree-lifestyles-report/.

    View in Article Google Scholar

    [654] van Vuuren, D.P., Stehfest, E., Gernaat, D., et al. (2018). Alternative pathways to the 1.5 degrees C target reduce the need for negative emission technologies. Nat. Clim. Change 8, 391-397.

    View in Article Google Scholar

    [655] van Sluisveld, M.A.E., Martinez, S.H., Daioglou, V., and van Vuuren, D.P. (2016). Exploring the implications of lifestyle change in 2 degrees C mitigation scenarios using the IMAGE integrated assessment model. Technol. Forecast. Soc. Change. 102, 309−319.

    View in Article CrossRef Google Scholar

    [656] Dalkmann, H., and Brannigan, C. (2007). Transport and climate change. Module 5e: sustainable transport: a sourcebook for policy-makers in developing cities (Deutsche Gesellschaft Fuer Technische Zusammenarbeit )L.

    View in Article Google Scholar

    [657] Enriquez, A., PhD, B., Dalkmann, H., and Brannigan, C. (2014). GIZ sourcebook 5e transport and climate change.

    View in Article Google Scholar

    [658] Kanyama, A.C., Nassen, J., and Benders, R. (2021). Shifting expenditure on food, holidays, and furnishings could lower greenhouse gas emissions by almost 40%. J. Ind. Ecol. 25, 1602−1616.

    View in Article CrossRef Google Scholar

    [659] Chaudhary, A., and Krishna, V. (2021). Region-specific nutritious, environmentally friendly, and affordable diets in India. One Earth 4, 531−544.

    View in Article CrossRef Google Scholar

    [660] Hong, C.P., Burney, J.A., Pongratz, J., et al. (2021). Global and regional drivers of land-use emissions in 1961-2017. Nature 589, 554−561.

    View in Article CrossRef Google Scholar

    [661] Edelenbosch, O.Y., McCollum, D.L., Pettifor, H., et al. (2018). Interactions between social learning and technological learning in electric vehicle futures. Environ. Res. Lett. 13, 124004.

    View in Article CrossRef Google Scholar

    [662] Falchetta, G., and Noussan, M. (2021). Electric vehicle charging network in Europe: an accessibility and deployment trends analysis. Transp. Res. D Transp. Environ. 94, 102813.

    View in Article CrossRef Google Scholar

    [663] Girod, B., van Vuuren, D.P., and de Vries, B. (2013). Influence of travel behavior on global CO2 emissions. Transp. Res. A Policy. Pract. 50, 183−197.

    View in Article CrossRef Google Scholar

    [664] Kaufmann, V., and Ravalet, E. (2016). From weak signals to mobility scenarios: a prospective study of France in 2050. International Scientific Conference on Mobility and Transport Transforming Urban Mobility (TUM).

    View in Article Google Scholar

    [665] Ding, Q., Cai, W.J., Wang, C., and Sanwal, M. (2017). The relationships between household consumption activities and energy consumption in china- an input-output analysis from the lifestyle perspective. Appl. Energy 207, 520−532.

    View in Article CrossRef Google Scholar

    [666] Guneralp, B., Zhou, Y.Y., Urge-Vorsatz, D., et al. (2017). Global scenarios of urban density and its impacts on building energy use through 2050. Proc. Natl. Acad. Sci. USA 114, 8945−8950.

    View in Article CrossRef Google Scholar

    [667] Meng, W., Zhong, Q., Chen, Y., et al. (2019). Energy and air pollution benefits of household fuel policies in northern China. Proc. Natl. Acad. Sci. USA 116, 16773−16780.

    View in Article CrossRef Google Scholar

    [668] Pachauri, S., Poblete-Cazenave, M., Aktas, A., and Gidden, M.J. (2021). Access to clean cooking services in energy and emission scenarios after COVID-19. Nat. Energy 6, 1067−1076.

    View in Article CrossRef Google Scholar

    [669] Beylot, A., Vaxelaire, S., and Villeneuve, J. (2016). Reducing gaseous emissions and resource consumption embodied in french final demand: how much can waste policies contribute. J. Ind. Ecol. 20, 905−916.

    View in Article CrossRef Google Scholar

    [670] Grubler, A., Wilson, C., Bento, N., et al. (2018). A low energy demand scenario for meeting the 1.5 degrees C target and sustainable development goals without negative emission technologies. Nat. Energy 3, 515-527.

    View in Article Google Scholar

    [671] Koide, R., Kojima, S., Nansai, K., et al. (2021). Exploring carbon footprint reduction pathways through urban lifestyle changes: a practical approach applied to Japanese cities. Environ. Res. Lett. 16, 084001.

    View in Article CrossRef Google Scholar

    [672] Moran, D., Wood, R., Hertwich, E., et al. (2020). Quantifying the potential for consumer-oriented policy to reduce European and foreign carbon emissions. Clim. Policy 20, S28−S38.

    View in Article CrossRef Google Scholar

    [673] Bishop, G., Styles, D., and Lens, P.N.L. (2021). Environmental performance comparison of bioplastics and petrochemical plastics: a review of life cycle assessment (LCA) methodological decisions. Resour. Conserv. Recycl. 168, 105451.

    View in Article CrossRef Google Scholar

    [674] Wood, R., Moran, D., Stadler, K., et al. (2018). Prioritizing consumption-based carbon policy based on the evaluation of mitigation potential using input-output methods. J. Ind. Ecol. 22, 540−552.

    View in Article CrossRef Google Scholar

    [675] BUDIMAN, A. (2022). Locomotion: Modelling for just and net-zero Europe. European Environmental Bureau. https://meta.eeb.org/2022/05/30/modelling-for-just-and-net-zero-europe/.

    View in Article Google Scholar

    [676] Van de Ven, D.J., Gonzalez-Eguino, M., and Arto, I. (2018). The potential of behavioural change for climate change mitigation: a case study for the European Union. Mitig. Adapt. Strateg. Glob. Chang. 23, 853−886.

    View in Article CrossRef Google Scholar

    [677] Keppo, I., Butnar, I., Bauer, N., et al. (2021). Exploring the possibility space: taking stock of the diverse capabilities and gaps in integrated assessment models. Environ. Res. Lett. 16, 053006.

    View in Article CrossRef Google Scholar

  • Cite this article:

    Wang F., Harindintwali J.-D., Wei K., et al., (2023). Climate change: Strategies for mitigation and adaptation. The Innovation Geoscience 1(1), 100015. https://doi.org/10.59717/j.xinn-geo.2023.100015
    Wang F., Harindintwali J.-D., Wei K., et al., (2023). Climate change: Strategies for mitigation and adaptation. The Innovation Geoscience 1(1), 100015. https://doi.org/10.59717/j.xinn-geo.2023.100015

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