Articles | Volume 15, issue 6
https://doi.org/10.5194/esd-15-1543-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/esd-15-1543-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Dec 2024
Research article |
| 05 Dec 2024
| 05 Dec 2024
Multi-fold increase in rainforest tipping risk beyond 1.5–2 °C warming
Chandrakant Singh
CORRESPONDING AUTHOR
Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
Ruud van der Ent
Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, the Netherlands
Ingo Fetzer
Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Lan Wang-Erlandsson
Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Potsdam Institute for Climate Impact Research, Potsdam, Germany
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Hannah Zoller, Steven J. Lade, C. Kendra Gotangco Gonzales, Ingo Fetzer, Nitin Chaudhary, and Juan C. Rocha
EGUsphere, https://doi.org/10.5194/egusphere-2025-3341, https://doi.org/10.5194/egusphere-2025-3341, 2025
This preprint is open for discussion and under review for Earth System Dynamics (ESD).
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In order to assess the full impact of local human pressures on critical Earth system processes, it is crucial to take account of their biophysical interplay. We provide spatially resolved world maps of interaction strength between the processes of change in carbon dioxide concentration, natural vegetation cover, and surface water runoff. A comparison of the resulting global pattern to established natural partitions of the Earth reveals the risks of current aggregation approaches.
Peter Kalverla, Imme Benedict, Chris Weijenborg, and Ruud J. van der Ent
Geosci. Model Dev., 18, 4335–4352, https://doi.org/10.5194/gmd-18-4335-2025, https://doi.org/10.5194/gmd-18-4335-2025, 2025
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We introduce a new version of WAM2layers (Water Accounting Model – 2 layers), a computer program that tracks how the weather brings water from one place to another. It uses data from weather and climate models, whose resolution is steadily increasing. Processing the latest data had become a challenge, and the updates presented here ensure that WAM2layers runs smoothly again. We also made it easier to use the program and to understand its source code. This makes it more transparent, reliable, and easier to maintain.
Christopher Wells, Benjamin Blanz, Lennart Ramme, Jannes Breier, Beniamino Callegari, Adakudlu Muralidhar, Jefferson K. Rajah, Andreas Nicolaidis Lindqvist, Axel E. Eriksson, William Alexander Schoenberg, Alexandre C. Köberle, Lan Wang-Erlandsson, Cecilie Mauritzen, and Chris Smith
EGUsphere, https://doi.org/10.5194/egusphere-2025-2756, https://doi.org/10.5194/egusphere-2025-2756, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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Computer models built to study future developments of human activity and climate change often exclude the impacts of climate change. Here, we include these effects in a new model. We create functions connecting changes in global temperature, carbon dioxide, and sea level to energy supply and demand, food systems, mortality, economic damages, and other important quantities. Including these effects will allow us to explore their impact on future changes in the human and climate realms.
Arne Tobian, Sarah Cornell, Ingo Fetzer, Dieter Gerten, and Johan Rockström
EGUsphere, https://doi.org/10.5194/egusphere-2025-2202, https://doi.org/10.5194/egusphere-2025-2202, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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The land use change reallocation tool LUCATOO enables the creation of future land use change scenario datasets tailored to specific requirements in model study applications. Its usability is demonstrated in the planetary boundaries interaction context. Being written in the programming language R and made openly accessible, LUCATOO can be easily adapted to be employed in contexts other than the planetary boundaries framework.
Muhammad Ibrahim, Miriam Coenders-Gerrits, Ruud van der Ent, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 1703–1723, https://doi.org/10.5194/hess-29-1703-2025, https://doi.org/10.5194/hess-29-1703-2025, 2025
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The quantification of precipitation into evaporation and runoff is vital for water resources management. The Budyko framework, based on aridity and evaporative indices of a catchment, can be an ideal tool for that. However, recent research highlights deviations of catchments from the expected evaporative index, casting doubt on its reliability. This study quantifies deviations of 2387 catchments, finding them minor and predictable. Integrating these into predictions upholds the framework's efficacy.
Hongkai Gao, Markus Hrachowitz, Lan Wang-Erlandsson, Fabrizio Fenicia, Qiaojuan Xi, Jianyang Xia, Wei Shao, Ge Sun, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 4477–4499, https://doi.org/10.5194/hess-28-4477-2024, https://doi.org/10.5194/hess-28-4477-2024, 2024
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The concept of the root zone is widely used but lacks a precise definition. Its importance in Earth system science is not well elaborated upon. Here, we clarified its definition with several similar terms to bridge the multi-disciplinary gap. We underscore the key role of the root zone in the Earth system, which links the biosphere, hydrosphere, lithosphere, atmosphere, and anthroposphere. To better represent the root zone, we advocate for a paradigm shift towards ecosystem-centred modelling.
Athanasios Tsiokanos, Martine Rutten, Ruud J. van der Ent, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 28, 3327–3345, https://doi.org/10.5194/hess-28-3327-2024, https://doi.org/10.5194/hess-28-3327-2024, 2024
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We focus on past high-flow events to find flood drivers in the Geul. We also explore flood drivers’ trends across various timescales and develop a new method to detect the main direction of a trend. Our results show that extreme 24 h precipitation alone is typically insufficient to cause floods. The combination of extreme rainfall and wet initial conditions determines the chance of flooding. Precipitation that leads to floods increases in winter, whereas no consistent trends are found in summer.
Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 2313–2328, https://doi.org/10.5194/hess-28-2313-2024, https://doi.org/10.5194/hess-28-2313-2024, 2024
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Vegetation plays a crucial role in regulating the water cycle by transporting water from the subsurface to the atmosphere via roots; this transport depends on the extent of the root system. In this study, we quantified the effect of irrigation on roots at a global scale. Our results emphasize the importance of accounting for irrigation in estimating the vegetation root extent, which is essential to adequately represent the water cycle in hydrological and climate models.
Steven J. De Hertog, Carmen E. Lopez-Fabara, Ruud van der Ent, Jessica Keune, Diego G. Miralles, Raphael Portmann, Sebastian Schemm, Felix Havermann, Suqi Guo, Fei Luo, Iris Manola, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
Earth Syst. Dynam., 15, 265–291, https://doi.org/10.5194/esd-15-265-2024, https://doi.org/10.5194/esd-15-265-2024, 2024
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Changes in land use are crucial to achieve lower global warming. However, despite their importance, the effects of these changes on moisture fluxes are poorly understood. We analyse land cover and management scenarios in three climate models involving cropland expansion, afforestation, and irrigation. Results show largely consistent influences on moisture fluxes, with cropland expansion causing a drying and reduced local moisture recycling, while afforestation and irrigation show the opposite.
Fransje van Oorschot, Ruud J. van der Ent, Markus Hrachowitz, Emanuele Di Carlo, Franco Catalano, Souhail Boussetta, Gianpaolo Balsamo, and Andrea Alessandri
Earth Syst. Dynam., 14, 1239–1259, https://doi.org/10.5194/esd-14-1239-2023, https://doi.org/10.5194/esd-14-1239-2023, 2023
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Vegetation largely controls land hydrology by transporting water from the subsurface to the atmosphere through roots and is highly variable in space and time. However, current land surface models have limitations in capturing this variability at a global scale, limiting accurate modeling of land hydrology. We found that satellite-based vegetation variability considerably improved modeled land hydrology and therefore has potential to improve climate predictions of, for example, droughts.
En Ning Lai, Lan Wang-Erlandsson, Vili Virkki, Miina Porkka, and Ruud J. van der Ent
Hydrol. Earth Syst. Sci., 27, 3999–4018, https://doi.org/10.5194/hess-27-3999-2023, https://doi.org/10.5194/hess-27-3999-2023, 2023
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This research scrutinized predicted changes in root zone soil moisture dynamics across different climate scenarios and different climate regions globally between 2021 and 2100. The Mediterranean and most of South America stood out as regions that will likely experience permanently drier conditions, with greater severity observed in the no-climate-policy scenarios. These findings underscore the impact that possible future climates can have on green water resources.
Steven J. De Hertog, Carmen E. Lopez-Fabara, Ruud van der Ent, Jessica Keune, Diego G. Miralles, Raphael Portmann, Sebastian Schemm, Felix Havermann, Suqi Guo, Fei Luo, Iris Manola, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
EGUsphere, https://doi.org/10.5194/egusphere-2023-953, https://doi.org/10.5194/egusphere-2023-953, 2023
Preprint archived
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Land cover and management changes can affect the climate and water availability. In this study we use climate model simulations of extreme global land cover changes (afforestation, deforestation) and land management changes (irrigation) to understand the effects on the global water cycle and local to continental water availability. We show that cropland expansion generally leads to higher evaporation and lower amounts of precipitation and afforestation and irrigation expansion to the opposite.
Chinchu Mohan, Tom Gleeson, James S. Famiglietti, Vili Virkki, Matti Kummu, Miina Porkka, Lan Wang-Erlandsson, Xander Huggins, Dieter Gerten, and Sonja C. Jähnig
Hydrol. Earth Syst. Sci., 26, 6247–6262, https://doi.org/10.5194/hess-26-6247-2022, https://doi.org/10.5194/hess-26-6247-2022, 2022
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The relationship between environmental flow violations and freshwater biodiversity at a large scale is not well explored. This study intended to carry out an exploratory evaluation of this relationship at a large scale. While our results suggest that streamflow and EF may not be the only determinants of freshwater biodiversity at large scales, they do not preclude the existence of relationships at smaller scales or with more holistic EF methods or with other biodiversity data or metrics.
Vili Virkki, Elina Alanärä, Miina Porkka, Lauri Ahopelto, Tom Gleeson, Chinchu Mohan, Lan Wang-Erlandsson, Martina Flörke, Dieter Gerten, Simon N. Gosling, Naota Hanasaki, Hannes Müller Schmied, Niko Wanders, and Matti Kummu
Hydrol. Earth Syst. Sci., 26, 3315–3336, https://doi.org/10.5194/hess-26-3315-2022, https://doi.org/10.5194/hess-26-3315-2022, 2022
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Direct and indirect human actions have altered streamflow across the world since pre-industrial times. Here, we apply a method of environmental flow envelopes (EFEs) that develops the existing global environmental flow assessments by methodological advances and better consideration of uncertainty. By assessing the violations of the EFE, we comprehensively quantify the frequency, severity, and trends of flow alteration during the past decades, illustrating anthropogenic effects on streamflow.
Markus Hrachowitz, Michael Stockinger, Miriam Coenders-Gerrits, Ruud van der Ent, Heye Bogena, Andreas Lücke, and Christine Stumpp
Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, https://doi.org/10.5194/hess-25-4887-2021, 2021
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Deforestation affects how catchments store and release water. Here we found that deforestation in the study catchment led to a 20 % increase in mean runoff, while reducing the vegetation-accessible water storage from about 258 to 101 mm. As a consequence, fractions of young water in the stream increased by up to 25 % during wet periods. This implies that water and solutes are more rapidly routed to the stream, which can, after contamination, lead to increased contaminant peak concentrations.
Fransje van Oorschot, Ruud J. van der Ent, Markus Hrachowitz, and Andrea Alessandri
Earth Syst. Dynam., 12, 725–743, https://doi.org/10.5194/esd-12-725-2021, https://doi.org/10.5194/esd-12-725-2021, 2021
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The roots of vegetation largely control the Earth's water cycle by transporting water from the subsurface to the atmosphere but are not adequately represented in land surface models, causing uncertainties in modeled water fluxes. We replaced the root parameters in an existing model with more realistic ones that account for a climate control on root development and found improved timing of modeled river discharge. Further extension of our approach could improve modeled water fluxes globally.
Liang Guo, Ruud J. van der Ent, Nicholas P. Klingaman, Marie-Estelle Demory, Pier Luigi Vidale, Andrew G. Turner, Claudia C. Stephan, and Amulya Chevuturi
Geosci. Model Dev., 13, 6011–6028, https://doi.org/10.5194/gmd-13-6011-2020, https://doi.org/10.5194/gmd-13-6011-2020, 2020
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Precipitation over East Asia simulated in the Met Office Unified Model is compared with observations. Moisture sources of EA precipitation are traced using a moisture tracking model. Biases in moisture sources are linked to biases in precipitation. Using the tracking model, changes in moisture sources can be attributed to changes in SST, circulation and associated evaporation. This proves that the method used in this study is useful to identify the causes of biases in regional precipitation.
Andreas Link, Ruud van der Ent, Markus Berger, Stephanie Eisner, and Matthias Finkbeiner
Earth Syst. Sci. Data, 12, 1897–1912, https://doi.org/10.5194/essd-12-1897-2020, https://doi.org/10.5194/essd-12-1897-2020, 2020
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This work provides a global dataset on the fate of land evaporation for a fine-meshed grid of source and receptor cells. The dataset was created through a global run of the numerical moisture-tracking model WAM-2layers. The dataset could be used for investigations into average annual, seasonal, and interannual sink and source regions of atmospheric moisture from land masses for most of the regions in the world and comes with example scripts for the readout and plotting of the data.
Cited articles
Ahlström, A., Canadell, J. G., Schurgers, G., Wu, M., Berry, J. A., Guan, K., and Jackson, R. B.: Hydrologic resilience and Amazon productivity, Nat. Commun., 8, 387, https://doi.org/10.1038/s41467-017-00306-z, 2017.
Albasha, R., Mailhol, J.-C., and Cheviron, B.: Compensatory uptake functions in empirical macroscopic root water uptake models – Experimental and numerical analysis, Agr. Water Manage., 155, 22–39, https://doi.org/10.1016/j.agwat.2015.03.010, 2015.
Aleman, J. C., Fayolle, A., Favier, C., Staver, A. C., Dexter, K. G., Ryan, C. M., Azihou, A. F., Bauman, D., Beest, M. te, Chidumayo, E. N., Comiskey, J. A., Cromsigt, J. P. G. M., Dessard, H., Doucet, J.-L., Finckh, M., Gillet, J.-F., Gourlet-Fleury, S., Hempson, G. P., Holdo, R. M., Kirunda, B., Kouame, F. N., Mahy, G., Gonçalves, F. M. P., McNicol, I., Quintano, P. N., Plumptre, A. J., Pritchard, R. C., Revermann, R., Schmitt, C. B., Swemmer, A. M., Talila, H., Woollen, E., and Swaine, M. D.: Floristic evidence for alternative biome states in tropical Africa, P. Natl. Acad. Sci. USA, 117, 28183–28190, https://doi.org/10.1073/pnas.2011515117, 2020.
Anderegg, W. R. L., Klein, T., Bartlett, M., Sack, L., Pellegrini, A. F. A., Choat, B., and Jansen, S.: Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe, P. Natl. Acad. Sci. USA, 113, 5024–5029, https://doi.org/10.1073/pnas.1525678113, 2016.
Armstrong McKay, D. I., Staal, A., Abrams, J. F., Winkelmann, R., Sakschewski, B., Loriani, S., Fetzer, I., Cornell, S. E., Rockström, J., and Lenton, T. M.: Exceeding 1.5 °C global warming could trigger multiple climate tipping points, Science, 377, eabn7950, https://doi.org/10.1126/science.abn7950, 2022.
Arora, V. K., Seiler, C., Wang, L., and Kou-Giesbrecht, S.: Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations, Biogeosciences, 20, 1313–1355, https://doi.org/10.5194/bg-20-1313-2023, 2023.
Baker, J. C. A., Garcia-Carreras, L., Buermann, W., Souza, D. C. de, Marsham, J. H., Kubota, P. Y., Gloor, M., Coelho, C. A. S., and Spracklen, D. V.: Robust Amazon precipitation projections in climate models that capture realistic land–atmosphere interactions, Environ. Res. Lett., 16, 074002, https://doi.org/10.1088/1748-9326/abfb2e, 2021.
Barros, F. de V., Bittencourt, P. R. L., Brum, M., Restrepo-Coupe, N., Pereira, L., Teodoro, G. S., Saleska, S. R., Borma, L. S., Christoffersen, B. O., Penha, D., Alves, L. F., Lima, A. J. N., Carneiro, V. M. C., Gentine, P., Lee, J.-E., Aragão, L. E. O. C., Ivanov, V., Leal, L. S. M., Araujo, A. C., and Oliveira, R. S.: Hydraulic traits explain differential responses of Amazonian forests to the 2015 El Niño-induced drought, New Phytol., 223, 1253–1266, https://doi.org/10.1111/nph.15909, 2019.
Bauman, D., Fortunel, C., Delhaye, G., Malhi, Y., Cernusak, L. A., Bentley, L. P., Rifai, S. W., Aguirre-Gutiérrez, J., Menor, I. O., Phillips, O. L., McNellis, B. E., Bradford, M., Laurance, S. G. W., Hutchinson, M. F., Dempsey, R., Santos-Andrade, P. E., Ninantay-Rivera, H. R., Chambi Paucar, J. R., and McMahon, S. M.: Tropical tree mortality has increased with rising atmospheric water stress, Nature, 608, 528–533, https://doi.org/10.1038/s41586-022-04737-7, 2022.
Bouaziz, L. J. E., Steele-Dunne, S. C., Schellekens, J., Weerts, A. H., Stam, J., Sprokkereef, E., Winsemius, H. H. C., Savenije, H. H. G., and Hrachowitz, M.: Improved Understanding of the Link Between Catchment-Scale Vegetation Accessible Storage and Satellite-Derived Soil Water Index, Water Resour. Res., 56, e2019WR026365, https://doi.org/10.1029/2019WR026365, 2020.
Boulton, C. A., Good, P., and Lenton, T. M.: Early warning signals of simulated Amazon rainforest dieback, Theor. Ecol., 6, 373–384, https://doi.org/10.1007/s12080-013-0191-7, 2013.
Boulton, C. A., Booth, B. B. B., and Good, P.: Exploring uncertainty of Amazon dieback in a perturbed parameter Earth system ensemble, Glob. Change Biol., 23, 5032–5044, https://doi.org/10.1111/gcb.13733, 2017.
Boulton, C. A., Lenton, T. M., and Boers, N.: Pronounced loss of Amazon rainforest resilience since the early 2000s, Nat. Clim. Change, 12, 271–278, https://doi.org/10.1038/s41558-022-01287-8, 2022.
Bovolo, C. I., Wagner, T., Parkin, G., Hein-Griggs, D., Pereira, R., and Jones, R.: The Guiana Shield rainforests – overlooked guardians of South American climate, Environ. Res. Lett., 13, 074029, https://doi.org/10.1088/1748-9326/aacf60, 2018.
Bronick, C. J. and Lal, R.: Soil structure and management: a review, Geoderma, 124, 3–22, https://doi.org/10.1016/j.geoderma.2004.03.005, 2005.
Brooks, P. D., Chorover, J., Fan, Y., Godsey, S. E., Maxwell, R. M., McNamara, J. P., and Tague, C.: Hydrological partitioning in the critical zone: Recent advances and opportunities for developing transferable understanding of water cycle dynamics, Water Resour. Res., 51, 6973–6987, https://doi.org/10.1002/2015WR017039, 2015.
Brum, M., Vadeboncoeur, M. A., Ivanov, V., Asbjornsen, H., Saleska, S., Alves, L. F., Penha, D., Dias, J. D., Aragão, L. E. O. C., Barros, F., Bittencourt, P., Pereira, L., and Oliveira, R. S.: Hydrological niche segregation defines forest structure and drought tolerance strategies in a seasonal Amazon forest, J. Ecol., 107, 318–333, https://doi.org/10.1111/1365-2745.13022, 2019.
Brunner, I., Herzog, C., Dawes, M. A., Arend, M., and Sperisen, C.: How tree roots respond to drought, Front. Plant Sci., 6, 547, https://doi.org/10.3389/fpls.2015.00547, 2015.
Bruno, R. D., da Rocha, H. R., de Freitas, H. C., Goulden, M. L., and Miller, S. D.: Soil moisture dynamics in an eastern Amazonian tropical forest, Hydrol. Process., 20, 2477–2489, https://doi.org/10.1002/hyp.6211, 2006.
Canadell, J., Jackson, R. B., Ehleringer, J. B., Mooney, H. A., Sala, O. E., and Schulze, E.-D.: Maximum rooting depth of vegetation types at the global scale, Oecologia, 108, 583–595, https://doi.org/10.1007/BF00329030, 1996.
Canadell, J. G., Monteiro, P. M. S., Costa, M. H., Cunha, L. C. D., Cox, P. M., Eliseev, A. V., Henson, S., Ishii, M., Jaccard, S., Koven, C., Lohila, A., Patra, P. K., Piao, S., Syampungani, S., Zaehle, S., Zickfeld, K., Alexandrov, G. A., Bala, G., Bopp, L., Boysen, L., Cao, L., Chandra, N., Ciais, P., Denisov, S. N., Dentener, F. J., Douville, H., Fay, A., Forster, P., Fox-Kemper, B., Friedlingstein, P., Fu, W., Fuss, S., Garçon, V., Gier, B., Gillett, N. P., Gregor, L., Haustein, K., Haverd, V., He, J., Hewitt, H. T., Hoffman, F. M., Ilyina, T., Jackson, R., Jones, C., Keller, D. P., Kwiatkowski, L., Lamboll, R. D., Lan, X., Laufkötter, C., Quéré, C. L., Lenton, A., Lewis, J., Liddicoat, S., Lorenzoni, L., Lovenduski, N., Macdougall, A. H., Mathesius, S., Matthews, D. H., Meinshausen, M., Mokhov, I. I., Naik, V., Nicholls, Z. R. J., Nurhati, I. S., O'sullivan, M., Peters, G., Pongratz, J., Poulter, B., Sallée, J.-B., Saunois, M., Schuur, E. A. G. I., Seneviratne, S., Stavert, A., Suntharalingam, P., Tachiiri, K., Terhaar, J., Thompson, R., Tian, H., Turnbull, J., Vicente-Serrano, S. M., Wang, X., Wanninkhof, R. H., Williamson, P., Brovkin, V., Feely, R. A., and Lebehot, A. D.: Global Carbon and other Biogeochemical Cycles and Feedbacks, 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, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 673–816, https://doi.org/10.1017/9781009157896.007, 2021.
Chai, Y., Martins, G., Nobre, C., von Randow, C., Chen, T., and Dolman, H.: Constraining Amazonian land surface temperature sensitivity to precipitation and the probability of forest dieback, npj Clim. Atmos. Sci., 4, 1–7, https://doi.org/10.1038/s41612-021-00162-1, 2021.
Cheng, S., Huang, J., Ji, F., and Lin, L.: Uncertainties of soil moisture in historical simulations and future projections, J. Geophys. Res.-Atmos., 122, 2239–2253, https://doi.org/10.1002/2016JD025871, 2017.
Cole, L. E. S., Bhagwat, S. A., and Willis, K. J.: Recovery and resilience of tropical forests after disturbance, Nat. Commun., 5, 3906, https://doi.org/10.1038/ncomms4906, 2014.
Condit, R., Engelbrecht, B. M. J., Pino, D., Pérez, R., and Turner, B. L.: Species distributions in response to individual soil nutrients and seasonal drought across a community of tropical trees, P. Natl. Acad. Sci. USA, 110, 5064–5068, https://doi.org/10.1073/pnas.1218042110, 2013.
Cook, K. H. and Vizy, E. K.: Impact of climate change on mid-twenty-first century growing seasons in Africa, Clim. Dynam., 39, 2937–2955, https://doi.org/10.1007/s00382-012-1324-1, 2012.
Cooper, G. S., Willcock, S., and Dearing, J. A.: Regime shifts occur disproportionately faster in larger ecosystems, Nat. Commun., 11, 1175, https://doi.org/10.1038/s41467-020-15029-x, 2020.
Cox, P. M., Betts, R. A., Collins, M., Harris, P. P., Huntingford, C., and Jones, C. D.: Amazonian forest dieback under climate-carbon cycle projections for the 21st century, Theor. Appl. Climatol., 78, 137–156, https://doi.org/10.1007/s00704-004-0049-4, 2004.
Dai, A.: Drought under global warming: a review, WIREs Clim. Change, 2, 45–65, https://doi.org/10.1002/wcc.81, 2011.
Davidson, E. A., de Araújo, A. C., Artaxo, P., Balch, J. K., Brown, I. F., C. Bustamante, M. M., Coe, M. T., DeFries, R. S., Keller, M., Longo, M., Munger, J. W., Schroeder, W., Soares-Filho, B. S., Souza, C. M., and Wofsy, S. C.: The Amazon basin in transition, Nature, 481, 321–328, https://doi.org/10.1038/nature10717, 2012.
de Boer-Euser, T., McMillan, H. K., Hrachowitz, M., Winsemius, H. C., and Savenije, H. H. G.: Influence of soil and climate on root zone storage capacity, Water Resour. Res., 52, 2009–2024, https://doi.org/10.1002/2015WR018115, 2016.
Dexter, A. R.: Soil physical quality: Part II. Friability, tillage, tilth and hard-setting, Geoderma, 120, 215–225, https://doi.org/10.1016/j.geoderma.2003.09.005, 2004.
Dittert, K., Wätzel, J., and Sattelmacher, B.: Responses of Alnus glutinosa to Anaerobic Conditions – Mechanisms and Rate of Oxygen Flux into the Roots, Plant Biol., 8, 212–223, https://doi.org/10.1055/s-2005-873041, 2006.
Doughty, C. E., Keany, J. M., Wiebe, B. C., Rey-Sanchez, C., Carter, K. R., Middleby, K. B., Cheesman, A. W., Goulden, M. L., da Rocha, H. R., Miller, S. D., Malhi, Y., Fauset, S., Gloor, E., Slot, M., Oliveras Menor, I., Crous, K. Y., Goldsmith, G. R., and Fisher, J. B.: Tropical forests are approaching critical temperature thresholds, Nature, 621, 105–111, https://doi.org/10.1038/s41586-023-06391-z, 2023.
Drijfhout, S., Bathiany, S., Beaulieu, C., Brovkin, V., Claussen, M., Huntingford, C., Scheffer, M., Sgubin, G., and Swingedouw, D.: Catalogue of abrupt shifts in Intergovernmental Panel on Climate Change climate models, P. Natl. Acad. Sci. USA, 112, E5777–E5786, https://doi.org/10.1073/pnas.1511451112, 2015.
Dunning, C. M., Black, E., and Allan, R. P.: Later Wet Seasons with More Intense Rainfall over Africa under Future Climate Change, J. Clim., 31, 9719–9738, 2018.
Fan, Y., Miguez-Macho, G., Jobbágy, E. G., Jackson, R. B., and Otero-Casal, C.: Hydrologic regulation of plant rooting depth, P. Natl. Acad. Sci. USA, 114, 10572–10577, https://doi.org/10.1073/pnas.1712381114, 2017.
Fayos, C. B.: The roles of texture and structure in the water retention capacity of burnt Mediterranean soils with varying rainfall, CATENA, 31, 219–236, https://doi.org/10.1016/S0341-8162(97)00041-6, 1997.
February, E. C. and Higgins, S. I.: The distribution of tree and grass roots in savannas in relation to soil nitrogen and water, S. Afr. J. Bot., 76, 517–523, https://doi.org/10.1016/j.sajb.2010.04.001, 2010.
Ferreira, D., Marshall, J., and Rose, B.: Climate Determinism Revisited: Multiple Equilibria in a Complex Climate Model, J. Clim., 24, 992–1012, https://doi.org/10.1175/2010JCLI3580.1, 2011.
Fleischer, K., Rammig, A., De Kauwe, M. G., Walker, A. P., Domingues, T. F., Fuchslueger, L., Garcia, S., Goll, D. S., Grandis, A., Jiang, M., Haverd, V., Hofhansl, F., Holm, J. A., Kruijt, B., Leung, F., Medlyn, B. E., Mercado, L. M., Norby, R. J., Pak, B., von Randow, C., Quesada, C. A., Schaap, K. J., Valverde-Barrantes, O. J., Wang, Y.-P., Yang, X., Zaehle, S., Zhu, Q., and Lapola, D. M.: Amazon forest response to CO2 fertilization dependent on plant phosphorus acquisition, Nat. Geosci., 12, 736–741, https://doi.org/10.1038/s41561-019-0404-9, 2019.
Flores, B. M., Montoya, E., Sakschewski, B., Nascimento, N., Staal, A., Betts, R. A., Levis, C., Lapola, D. M., Esquível-Muelbert, A., Jakovac, C., Nobre, C. A., Oliveira, R. S., Borma, L. S., Nian, D., Boers, N., Hecht, S. B., ter Steege, H., Arieira, J., Lucas, I. L., Berenguer, E., Marengo, J. A., Gatti, L. V., Mattos, C. R. C., and Hirota, M.: Critical transitions in the Amazon forest system, Nature, 626, 555–564, https://doi.org/10.1038/s41586-023-06970-0, 2024.
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., and Michaelsen, J.: The climate hazards infrared precipitation with stations – a new environmental record for monitoring extremes, Sci. Data, 2, 150066, https://doi.org/10.1038/sdata.2015.66, 2015 (data available at: https://data.chc.ucsb.edu/products/CHIRPS-2.0/, last access: 18 January 2023).
Gao, H., Hrachowitz, M., Schymanski, S. J., Fenicia, F., Sriwongsitanon, N., and Savenije, H. H. G.: Climate controls how ecosystems size the root zone storage capacity at catchment scale: Root zone storage capacity in catchments, Geophys. Res. Lett., 41, 7916–7923, https://doi.org/10.1002/2014GL061668, 2014.
GlobCover land-use map: Global Land Cover Service, http://due.esrin.esa.int/page_globcover.php, last access: 27 February 2022.
Grimm, N. B., Chapin III, F. S., Bierwagen, B., Gonzalez, P., Groffman, P. M., Luo, Y., Melton, F., Nadelhoffer, K., Pairis, A., Raymond, P. A., Schimel, J., and Williamson, C. E.: The impacts of climate change on ecosystem structure and function, Front. Ecol. Environ., 11, 474–482, https://doi.org/10.1890/120282, 2013.
Gumbel, E. J.: Statistics of extremes, Columbia University Press, New York, 1958.
Guswa, A. J.: The influence of climate on root depth: A carbon cost-benefit analysis, Water Resour. Res., 44, W02427, https://doi.org/10.1029/2007WR006384, 2008.
Hahm, W. J., Rempe, D. M., Dralle, D. N., Dawson, T. E., Lovill, S. M., Bryk, A. B., Bish, D. L., Schieber, J., and Dietrich, W. E.: Lithologically Controlled Subsurface Critical Zone Thickness and Water Storage Capacity Determine Regional Plant Community Composition, Water Resour. Res., 55, 3028–3055, https://doi.org/10.1029/2018WR023760, 2019.
Hall, A., Cox, P., Huntingford, C., and Klein, S.: Progressing emergent constraints on future climate change, Nat. Clim. Change, 9, 269–278, https://doi.org/10.1038/s41558-019-0436-6, 2019.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G. D., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P. de, Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 Global Reanalysis, Q. J. Roy. Meteorol. Soc., 245, 111840, https://doi.org/10.1002/qj.3803, 2020.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2023.
Higgins, S. I. and Scheiter, S.: Atmospheric CO2 forces abrupt vegetation shifts locally, but not globally, Nature, 488, 209–212, https://doi.org/10.1038/nature11238, 2012.
Hildebrandt, A., Kleidon, A., and Bechmann, M.: A thermodynamic formulation of root water uptake, Hydrol. Earth Syst. Sci., 20, 3441–3454, https://doi.org/10.5194/hess-20-3441-2016, 2016.
Hirota, M., Holmgren, M., Van Nes, E. H., and Scheffer, M.: Global Resilience of Tropical Forest and Savanna to Critical Transitions, Science, 334, 232–235, https://doi.org/10.1126/science.1210657, 2011.
Hirota, M., Flores, B. M., Betts, R., Borma, L. S., Esquivel-Muelbert, A., Jakovac, C., Lapola, D. M., Montoya, E., Oliveira, R. S., and Sakschewski, B.: Chapter 24: Resilience of the Amazon forest to global changes: Assessing the risk of tipping points, in: Amazon Assessment Report 2021, edited by: Nobre, C., Encalada, A., Anderson, E., Roca Alcazar, F. H., Bustamante, M., Mena, C., Peña-Claros, M., Poveda, G., Rodriguez, J. P., Saleska, S., Trumbore, S. E., Val, A., Villa Nova, L., Abramovay, R., Alencar, A., Rodriguez Alzza, A. C., Armenteras, D., Artaxo, P., Athayde, S., Barretto Filho, H. T., Barlow, J., Berenguer, E., Bortolotto, F., Costa, F. de A., Costa, M. H., Cuvi, N., Fearnside, P., Ferreira, J., Flores, B. M., Frieri, S., Gatti, L. V., Guayasamin, J. M., Hecht, S., Hirota, M., Hoorn, C., Josse, C., Lapola, D. M., Larrea, C., Larrea-Alcazar, D. M., Lehm Ardaya, Z., Malhi, Y., Marengo, J. A., Melack, J., Moraes R., M., Moutinho, P., Murmis, M. R., Neves, E. G., Paez, B., Painter, L., Ramos, A., Rosero-Peña, M. C., Schmink, M., Sist, P., ter Steege, H., Val, P., van der Voort, H., Varese, M., and Zapata-Ríos, G.: Amazon Assessment Report 2021, UN Sustainable Development Solutions Network (SDSN), https://doi.org/10.55161/QPYS9758, 2021.
Hofhansl, F., Andersen, K. M., Fleischer, K., Fuchslueger, L., Rammig, A., Schaap, K. J., Valverde-Barrantes, O. J., and Lapola, D. M.: Amazon Forest Ecosystem Responses to Elevated Atmospheric CO2 and Alterations in Nutrient Availability: Filling the Gaps with Model-Experiment Integration, Front. Earth Sci., 4, 19, https://doi.org/10.3389/feart.2016.00019, 2016.
Huntingford, C., Zelazowski, P., Galbraith, D., Mercado, L. M., Sitch, S., Fisher, R., Lomas, M., Walker, A. P., Jones, C. D., Booth, B. B. B., Malhi, Y., Hemming, D., Kay, G., Good, P., Lewis, S. L., Phillips, O. L., Atkin, O. K., Lloyd, J., Gloor, E., Zaragoza-Castells, J., Meir, P., Betts, R., Harris, P. P., Nobre, C., Marengo, J., and Cox, P. M.: Simulated resilience of tropical rainforests to CO2-induced climate change, Nat. Geosci., 6, 268–273, https://doi.org/10.1038/ngeo1741, 2013.
Hurtt, G. C., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B. L., Calvin, K., Doelman, J. C., Fisk, J., Fujimori, S., Klein Goldewijk, K., Hasegawa, T., Havlik, P., Heinimann, A., Humpenöder, F., Jungclaus, J., Kaplan, J. O., Kennedy, J., Krisztin, T., Lawrence, D., Lawrence, P., Ma, L., Mertz, O., Pongratz, J., Popp, A., Poulter, B., Riahi, K., Shevliakova, E., Stehfest, E., Thornton, P., Tubiello, F. N., van Vuuren, D. P., and Zhang, X.: Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6, Geosci. Model Dev., 13, 5425–5464, https://doi.org/10.5194/gmd-13-5425-2020, 2020.
Indoria, A. K., Sharma, K. L., and Reddy, K. S.: Chapter 18 - Hydraulic properties of soil under warming climate, in: Climate Change and Soil Interactions, edited by: Prasad, M. N. V. and Pietrzykowski, M., Elsevier, 473–508, https://doi.org/10.1016/B978-0-12-818032-7.00018-7, 2020.
IPCC: Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, 1st ed., Cambridge University Press, https://doi.org/10.1017/9781009157896, 2023.
Jach, L., Warrach-Sagi, K., Ingwersen, J., Kaas, E., and Wulfmeyer, V.: Land Cover Impacts on Land-Atmosphere Coupling Strength in Climate Simulations With WRF Over Europe, J. Geophys. Res.-Atmos., 125, e2019JD031989, https://doi.org/10.1029/2019JD031989, 2020.
Jackson, R. B., Canadell, J., Ehleringer, J. R., Mooney, H. A., Sala, O. E., and Schulze, E. D.: A global analysis of root distributions for terrestrial biomes, Oecologia, 108, 389–411, https://doi.org/10.1007/BF00333714, 1996.
Jehn, F. U., Kemp, L., Ilin, E., Funk, C., Wang, J. R., and Breuer, L.: Focus of the IPCC Assessment Reports Has Shifted to Lower Temperatures, Earth's Future, 10, e2022EF002876, https://doi.org/10.1029/2022EF002876, 2022.
Jiang, C. and Ryu, Y.: Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator (BESS), Remote Sens. Environ., 186, 528–547, https://doi.org/10.1016/j.rse.2016.08.030, 2016 (data available at: ftp://147.46.64.183/, last access: 18 January 2023).
Jones, C., Lowe, J., Liddicoat, S., and Betts, R.: Committed terrestrial ecosystem changes due to climate change, Nat. Geosci., 2, 484–487, https://doi.org/10.1038/ngeo555, 2009.
Jung, M., Koirala, S., Weber, U., Ichii, K., Gans, F., Camps-Valls, G., Papale, D., Schwalm, C., Tramontana, G., and Reichstein, M.: The FLUXCOM ensemble of global land-atmosphere energy fluxes, Sci. Data, 6, 74, https://doi.org/10.1038/s41597-019-0076-8, 2019 (data available at: ftp://ftp.bgc-jena.mpg.de, last access: 18 January 2023).
Koch, A., Hubau, W., and Lewis, S. L.: Earth System Models Are Not Capturing Present-Day Tropical Forest Carbon Dynamics, Earth's Future, 9, e2020EF001874, https://doi.org/10.1029/2020EF001874, 2021.
Kooperman, G. J., Chen, Y., Hoffman, F. M., Koven, C. D., Lindsay, K., Pritchard, M. S., Swann, A. L. S., and Randerson, J. T.: Forest response to rising CO2 drives zonally asymmetric rainfall change over tropical land, Nat. Clim. Change, 8, 434–440, https://doi.org/10.1038/s41558-018-0144-7, 2018.
Körner, C.: A matter of tree longevity, Science, 355, 130–131, https://doi.org/10.1126/science.aal2449, 2017.
Küçük, Ç., Koirala, S., Carvalhais, N., Miralles, D. G., Reichstein, M., and Jung, M.: Characterizing the Response of Vegetation Cover to Water Limitation in Africa Using Geostationary Satellites, J. Adv. Model. Earth Sy., 14, e2021MS002730, https://doi.org/10.1029/2021MS002730, 2022.
Kukal, M. S. and Irmak, S.: Can limits of plant available water be inferred from soil moisture distributions?, Agr. Environ. Lett., 8, e20113, https://doi.org/10.1002/ael2.20113, 2023.
Lammertsma, E. I., Boer, H. J. de, Dekker, S. C., Dilcher, D. L., Lotter, A. F., and Wagner-Cremer, F.: Global CO2 rise leads to reduced maximum stomatal conductance in Florida vegetation, P. Natl. Acad. Sci. USA, 108, 4035–4040, https://doi.org/10.1073/pnas.1100371108, 2011.
Leite-Filho, A. T., Soares-Filho, B. S., Davis, J. L., Abrahão, G. M., and Börner, J.: Deforestation reduces rainfall and agricultural revenues in the Brazilian Amazon, Nat. Commun., 12, 2591, https://doi.org/10.1038/s41467-021-22840-7, 2021.
Lenton, T. M.: Early warning of climate tipping points, Nat. Clim. Change, 1, 201–209, https://doi.org/10.1038/nclimate1143, 2011.
Lenton, T. M., Rockström, J., Gaffney, O., Rahmstorf, S., Richardson, K., Steffen, W., and Schellnhuber, H. J.: Climate tipping points – too risky to bet against, Nature, 575, 592–595, https://doi.org/10.1038/d41586-019-03595-0, 2019.
Lewis, S. L., Edwards, D. P., and Galbraith, D.: Increasing human dominance of tropical forests, Science, 349, 827–832, https://doi.org/10.1126/science.aaa9932, 2015.
Li, Y., Brando, P. M., Morton, D. C., Lawrence, D. M., Yang, H., and Randerson, J. T.: Deforestation-induced climate change reduces carbon storage in remaining tropical forests, Nat. Commun., 13, 1964, https://doi.org/10.1038/s41467-022-29601-0, 2022.
Liu, W., Sun, F., Lim, W. H., Zhang, J., Wang, H., Shiogama, H., and Zhang, Y.: Global drought and severe drought-affected populations in 1.5 and 2 °C warmer worlds, Earth Syst. Dynam., 9, 267–283, https://doi.org/10.5194/esd-9-267-2018, 2018.
Liu, Y., Kumar, M., Katul, G. G., Feng, X., and Konings, A. G.: Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration, Nat. Clim. Change, 10, 691–695, https://doi.org/10.1038/s41558-020-0781-5, 2020.
Ma, L., Hurtt, G. C., Chini, L. P., Sahajpal, R., Pongratz, J., Frolking, S., Stehfest, E., Klein Goldewijk, K., O'Leary, D., and Doelman, J. C.: Global rules for translating land-use change (LUH2) to land-cover change for CMIP6 using GLM2, Geosci. Model Dev., 13, 3203–3220, https://doi.org/10.5194/gmd-13-3203-2020, 2020.
Malhi, Y., Roberts, J. T., Betts, R. A., Killeen, T. J., Li, W., and Nobre, C. A.: Climate Change, Deforestation, and the Fate of the Amazon, Science, 319, 169–172, https://doi.org/10.1126/science.1146961, 2008.
Malhi, Y., Gardner, T. A., Goldsmith, G. R., Silman, M. R., and Zelazowski, P.: Tropical Forests in the Anthropocene, Annu. Rev. Env. Resour., 39, 125–159, https://doi.org/10.1146/annurev-environ-030713-155141, 2014.
Mamalakis, A., Randerson, J. T., Yu, J.-Y., Pritchard, M. S., Magnusdottir, G., Smyth, P., Levine, P. A., Yu, S., and Foufoula-Georgiou, E.: Zonally contrasting shifts of the tropical rain belt in response to climate change, Nat. Clim. Change, 11, 143–151, https://doi.org/10.1038/s41558-020-00963-x, 2021.
Maslin, M. and Austin, P.: Climate models at their limit?, Nature, 486, 183–184, https://doi.org/10.1038/486183a, 2012.
McCormick, E. L., Dralle, D. N., Hahm, W. J., Tune, A. K., Schmidt, L. M., Chadwick, K. D., and Rempe, D. M.: Widespread woody plant use of water stored in bedrock, Nature, 597, 225–229, https://doi.org/10.1038/s41586-021-03761-3, 2021.
McFarlane, N.: Parameterizations: representing key processes in climate models without resolving them, WIREs Clim. Change, 2, 482–497, https://doi.org/10.1002/wcc.122, 2011.
Nepstad, D. C., Verssimo, A., Alencar, A., Nobre, C., Lima, E., Lefebvre, P., Schlesinger, P., Potter, C., Moutinho, P., Mendoza, E., Cochrane, M., and Brooks, V.: Large-scale impoverishment of Amazonian forests by logging and fire, Nature, 398, 505–508, https://doi.org/10.1038/19066, 1999.
Nijzink, R., Hutton, C., Pechlivanidis, I., Capell, R., Arheimer, B., Freer, J., Han, D., Wagener, T., McGuire, K., Savenije, H., and Hrachowitz, M.: The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?, Hydrol. Earth Sys. Sci., 20, 4775–4799, https://doi.org/10.5194/hess-20-4775-2016, 2016.
Nippert, J. B. and Holdo, R. M.: Challenging the maximum rooting depth paradigm in grasslands and savannas, Funct. Ecol., 29, 739–745, https://doi.org/10.1111/1365-2435.12390, 2015.
Nof, D.: Simple Versus Complex Climate Modeling, Eos, Trans. Am. Geophys. Union, 89, 544–545, https://doi.org/10.1029/2008EO520006, 2008.
Oliveira, R. S., Dawson, T. E., Burgess, S. S. O., and Nepstad, D. C.: Hydraulic redistribution in three Amazonian trees, Oecologia, 145, 354–363, https://doi.org/10.1007/s00442-005-0108-2, 2005.
Oliveras, I. and Malhi, Y.: Many shades of green: the dynamic tropical forest–savannah transition zones, Philos. T. R. Soc. B, 371, 20150308, https://doi.org/10.1098/rstb.2015.0308, 2016.
Parry, I. M., Ritchie, P. D. L., and Cox, P. M.: Evidence of localised Amazon rainforest dieback in CMIP6 models, Earth Syst. Dynam., 13, 1667–1675, https://doi.org/10.5194/esd-13-1667-2022, 2022.
Pascale, S., Carvalho, L. M. V., Adams, D. K., Castro, C. L., and Cavalcanti, I. F. A.: Current and Future Variations of the Monsoons of the Americas in a Warming Climate, Curr. Clim. Chang. Rep., 5, 125–144, https://doi.org/10.1007/s40641-019-00135-w, 2019.
Piani, C., Weedon, G. P., Best, M., Gomes, S. M., Viterbo, P., Hagemann, S., and Haerter, J. O.: Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models, J. Hydrol., 395, 199–215, https://doi.org/10.1016/j.jhydrol.2010.10.024, 2010.
Rammig, A.: Tropical carbon sinks are saturating at different times on different continents, Nature, 579, 38–39, https://doi.org/10.1038/d41586-020-00423-8, 2020.
Ratnam, J., Bond, W. J., Fensham, R. J., Hoffmann, W. A., Archibald, S., Lehmann, C. E. R., Anderson, M. T., Higgins, S. I., and Sankaran, M.: When is a “forest” a savanna, and why does it matter?, Glob. Ecol. Biogeogr., 20, 653–660, https://doi.org/10.1111/j.1466-8238.2010.00634.x, 2011.
Reyer, C. P. O., Brouwers, N., Rammig, A., Brook, B. W., Epila, J., Grant, R. F., Holmgren, M., Langerwisch, F., Leuzinger, S., Lucht, W., Medlyn, B., Pfeifer, M., Steinkamp, J., Vanderwel, M. C., Verbeeck, H., and Villela, D. M.: Forest resilience and tipping points at different spatio-temporal scales: approaches and challenges, J. Ecol., 103, 5–15, https://doi.org/10.1111/1365-2745.12337, 2015.
Rosas, T., Mencuccini, M., Barba, J., Cochard, H., Saura-Mas, S., and Martínez-Vilalta, J.: Adjustments and coordination of hydraulic, leaf and stem traits along a water availability gradient, New Phytol., 223, 632–646, https://doi.org/10.1111/nph.15684, 2019.
Schenk, H. J.: Soil depth, plant rooting strategies and species' niches, New Phytol., 178, 223–225, https://doi.org/10.1111/j.1469-8137.2008.02427.x, 2008.
Schenk, H. J. and Jackson, R. B.: The Global Biogeography of Roots, Ecol. Monogr., 72, 311–328, https://doi.org/10.1890/0012-9615(2002)072[0311:TGBOR]2.0.CO;2, 2002.
Schumacher, D. L., Keune, J., Dirmeyer, P., and Miralles, D. G.: Drought self-propagation in drylands due to land–atmosphere feedbacks, Nat. Geosci., 15, 262–268, https://doi.org/10.1038/s41561-022-00912-7, 2022.
Singh, C.: Rooting for forest resilience: Implications of climate and land-use change on the tropical rainforests, thesis, ISBN 978-91-8014-120-8, 2023a.
Singh, C.: Future-forest-transitions-CMIP6, GitHub [code], https://github.com/chandrakant6492/Future-forest-transitions-CMIP6 (last access: 2 December 2024), 2023b.
Singh, C.: Tropical rainforest resilience under CMIP6-SSP scenarios (Version 1), Zenodo [data set], https://doi.org/10.5281/zenodo.7845439, 2023c.
Singh, C., Wang-Erlandsson, L., Fetzer, I., Rockström, J., and van der Ent, R.: Rootzone storage capacity reveals drought coping strategies along rainforest-savanna transitions, Environ. Res. Lett., 15, 124021, https://doi.org/10.1088/1748-9326/abc377, 2020 (code available at: https://github.com/chandrakant6492/Drought-coping-strategy, last access: 18 January 2023).
Singh, C., van der Ent, R., Wang-Erlandsson, L., and Fetzer, I.: Hydroclimatic adaptation critical to the resilience of tropical forests, Glob. Change Biol., 28, 2930–2939, https://doi.org/10.1111/gcb.16115, 2022.
Singh, V., Karan, S. K., Singh, C., and Samadder, S. R.: Assessment of the capability of SWAT model to predict surface runoff in open cast coal mining areas, Environ. Sci. Pollut. Res., 30, 40073–40083, https://doi.org/10.1007/s11356-022-25032-y, 2023.
Smith, C. W., Johnston, M. A., and Lorentz, S. A.: The effect of soil compaction on the water retention characteristics of soils in forest plantations, S. Afr. J. Plant Soil, 18, 87–97, https://doi.org/10.1080/02571862.2001.10634410, 2001.
Sperry, J. S. and Love, D. M.: What plant hydraulics can tell us about responses to climate-change droughts, New Phytol., 207, 14–27, https://doi.org/10.1111/nph.13354, 2015.
Staal, A., Tuinenburg, O. A., Bosmans, J. H. C., Holmgren, M., van Nes, E. H., Scheffer, M., Zemp, D. C., and Dekker, S. C.: Forest-rainfall cascades buffer against drought across the Amazon, Nat. Clim. Change, 8, 539–543, https://doi.org/10.1038/s41558-018-0177-y, 2018.
Staal, A., Fetzer, I., Wang-Erlandsson, L., Bosmans, J. H. C., Dekker, S. C., van Nes, E. H., Rockström, J., and Tuinenburg, O. A.: Hysteresis of tropical forests in the 21st century, Nat. Commun., 11, 4978, https://doi.org/10.1038/s41467-020-18728-7, 2020.
Stevens, B. and Bony, S.: What Are Climate Models Missing?, Science, 340, 1053–1054, https://doi.org/10.1126/science.1237554, 2013.
Still, C. J., Berry, J. A., Collatz, G. J., and DeFries, R. S.: Global distribution of C3 and C4 vegetation: Carbon cycle implications, Global Biogeochem. Cy., 17, 1006, https://doi.org/10.1029/2001GB001807, 2003.
Stocker, B. D., Tumber-Dávila, S. J., Konings, A. G., Anderson, M. C., Hain, C., and Jackson, R. B.: Global patterns of water storage in the rooting zones of vegetation, Nat. Geosci., 16, 250–256, https://doi.org/10.1038/s41561-023-01125-2, 2023.
Sveen, T. R., Hannula, S. E., and Bahram, M.: Microbial regulation of feedbacks to ecosystem change, Trend. Microbiol., 32, 68–78, https://doi.org/10.1016/j.tim.2023.06.006, 2024.
Trumbore, S., Brando, P., and Hartmann, H.: Forest health and global change, Science, 349, 814–818, https://doi.org/10.1126/science.aac6759, 2015.
Valdes, P.: Built for stability, Nat. Geosci., 4, 414–416, https://doi.org/10.1038/ngeo1200, 2011.
van der Ent, R. J., Savenije, H. H. G., Schaefli, B., and Steele-Dunne, S. C.: Origin and fate of atmospheric moisture over continents, Water Resour. Res., 46, W09525, https://doi.org/10.1029/2010WR009127, 2010.
van Nes, E. H., Arani, B. M. S., Staal, A., van der Bolt, B., Flores, B. M., Bathiany, S., and Scheffer, M.: What Do You Mean, `Tipping Point'?, Trend. Ecol. Evol., 31, 902–904, https://doi.org/10.1016/j.tree.2016.09.011, 2016.
Wang, E., Smith, C. J., Wang, E., and Smith, C. J.: Modelling the growth and water uptake function of plant root systems: a review, Aust. J. Agric. Res., 55, 501–523, https://doi.org/10.1071/AR03201, 2004.
Wang-Erlandsson, L., Bastiaanssen, W. G. M., Gao, H., Jägermeyr, J., Senay, G. B., van Dijk, A. I. J. M., Guerschman, J. P., Keys, P. W., Gordon, L. J., and Savenije, H. H. G.: Global root zone storage capacity from satellite-based evaporation, Hydrol. Earth Syst. Sci., 20, 1459–1481, https://doi.org/10.5194/hess-20-1459-2016, 2016.
Wang-Erlandsson, L., Tobian, A., van der Ent, R. J., Fetzer, I., te Wierik, S., Porkka, M., Staal, A., Jaramillo, F., Dahlmann, H., Singh, C., Greve, P., Gerten, D., Keys, P. W., Gleeson, T., Cornell, S. E., Steffen, W., Bai, X., and Rockström, J.: A planetary boundary for green water, Nat. Rev. Earth Environ., 3, 380–392, https://doi.org/10.1038/s43017-022-00287-8, 2022.
Wolfe, B. T., Sperry, J. S., and Kursar, T. A.: Does leaf shedding protect stems from cavitation during seasonal droughts? A test of the hydraulic fuse hypothesis, New Phytol., 212, 1007–1018, https://doi.org/10.1111/nph.14087, 2016.
Wunderling, N., Staal, A., Sakschewski, B., Hirota, M., Tuinenburg, O. A., Donges, J. F., Barbosa, H. M. J., and Winkelmann, R.: Recurrent droughts increase risk of cascading tipping events by outpacing adaptive capacities in the Amazon rainforest, P. Natl. Acad. Sci. USA, 119, e2120777119, https://doi.org/10.1073/pnas.2120777119, 2022.
Xie, S.-P., Deser, C., Vecchi, G. A., Ma, J., Teng, H., and Wittenberg, A. T.: Global Warming Pattern Formation: Sea Surface Temperature and Rainfall, J. Clim., 23, 966–986, https://doi.org/10.1175/2009JCLI3329.1, 2010.
Xu, C., Hantson, S., Holmgren, M., van Nes, E. H., Staal, A., and Scheffer, M.: Remotely sensed canopy height reveals three pantropical ecosystem states, Ecology, 97, 2518–2521, https://doi.org/10.1002/ecy.1470, 2016.
Xue, B.-L., Guo, Q., Otto, A., Xiao, J., Tao, S., and Li, L.: Global patterns, trends, and drivers of water use efficiency from 2000 to 2013, Ecosphere, 6, art174, https://doi.org/10.1890/ES14-00416.1, 2015.
Yang, Y., Saatchi, S. S., Xu, L., Yu, Y., Choi, S., Phillips, N., Kennedy, R., Keller, M., Knyazikhin, Y., and Myneni, R. B.: Post-drought decline of the Amazon carbon sink, Nat. Commun., 9, 3172, https://doi.org/10.1038/s41467-018-05668-6, 2018.
Yu, Z., Chen, X., Zhou, G., Agathokleous, E., Li, L., Liu, Z., Wu, J., Zhou, P., Xue, M., Chen, Y., Yan, W., Liu, L., Shi, T., and Zhao, X.: Natural forest growth and human induced ecosystem disturbance influence water yield in forests, Commun. Earth Environ., 3, 148, https://doi.org/10.1038/s43247-022-00483-w, 2022.
Yuan, K., Zhu, Q., Riley, W. J., Li, F., and Wu, H.: Understanding and reducing the uncertainties of land surface energy flux partitioning within CMIP6 land models, Agr. Forest Meteorol., 319, 108920, https://doi.org/10.1016/j.agrformet.2022.108920, 2022.
Zhang, Y., Pena Arancibia, J., McVicar, T., Chiew, F., Vaze, J., Zheng, H., and Wang, Y. P.: Monthly global observation-driven Penman-Monteith-Leuning (PML) evapotranspiration and components, v2, CSIRO [data set], https://doi.org/10.4225/08/5719A5C48DB85, 2016.
Zemp, D. C., Schleussner, C.-F., Barbosa, H. M. J., van der Ent, R. J., Donges, J. F., Heinke, J., Sampaio, G., and Rammig, A.: On the importance of cascading moisture recycling in South America, Atmos. Chem. Phys., 14, 13337–13359, https://doi.org/10.5194/acp-14-13337-2014, 2014.
Zemp, D. C., Schleussner, C.-F., Barbosa, H. M. J., Hirota, M., Montade, V., Sampaio, G., Staal, A., Wang-Erlandsson, L., and Rammig, A.: Self-amplified Amazon forest loss due to vegetation-atmosphere feedbacks, Nat. Commun., 8, 14681, https://doi.org/10.1038/ncomms14681, 2017.
Zhang, Y., Peña-Arancibia, J. L., McVicar, T. R., Chiew, F. H. S., Vaze, J., Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y. Y., Miralles, D. G., and Pan, M.: Multi-decadal trends in global terrestrial evapotranspiration and its components, Sci. Rep., 6, 19124, https://doi.org/10.1038/srep19124, 2016.
Zilli, M. T., Carvalho, L. M. V., and Lintner, B. R.: The poleward shift of South Atlantic Convergence Zone in recent decades, Clim. Dynam., 52, 2545–2563, https://doi.org/10.1007/s00382-018-4277-1, 2019.
Short summary
Tropical rainforests risk tipping to savanna under future climate change. By analysing ecosystem root zone dynamics using hydroclimate data from Earth system models, we project the tipping risks for these rainforests. Our findings suggest that although some transition risks may be inevitable, most can still be mitigated by adapting to less severe climate change scenarios. Limiting global surface temperatures to meet the Paris Agreement targets is critical to preserving these ecosystems.
Tropical rainforests risk tipping to savanna under future climate change. By analysing ecosystem...
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