Articles | Volume 16, issue 5
https://doi.org/10.5194/esd-16-1699-2025
© Author(s) 2025. 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-16-1699-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Perspective
| 
10 Oct 2025
Perspective |
| 10 Oct 2025
| 10 Oct 2025
Positive tipping points for accelerating adoption of regenerative practices in African smallholder farming systems: what drives and sustains adoption?
Global Systems Institute, Faculty of Environment, Science and Economy, University of Exeter, Exeter, United Kingdom
Thomas Pienkowski
Centre for Environmental Policy, Faculty of Natural Sciences, Imperial College London, London, United Kingdom
Durrell Institute of Conservation and Ecology, University of Kent, Canterbury, United Kingdom
Andrew M. Cunliffe
Global Systems Institute, Faculty of Environment, Science and Economy, University of Exeter, Exeter, United Kingdom
Timothy M. Lenton
Global Systems Institute, Faculty of Environment, Science and Economy, University of Exeter, Exeter, United Kingdom
Tom W. R. Powell
CORRESPONDING AUTHOR
Global Systems Institute, Faculty of Environment, Science and Economy, University of Exeter, Exeter, United Kingdom
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Laura M. Pereira, Steven R. Smith, Lauren Gifford, Peter Newell, Sebastian Villasante, Therezah Achieng, Azucena Castro, Sara M. Constantino, Tom Powell, Ashish Ghadiali, Ben Smith, Coleen Vogel, and Caroline Zimm
Earth Syst. Dynam., 16, 1267–1285, https://doi.org/10.5194/esd-16-1267-2025, https://doi.org/10.5194/esd-16-1267-2025, 2025
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Earth system tipping points pose existential threats requiring urgent action. However, this imperative should neither increase risks nor perpetuate injustices. We argue that considerations of what needs to change, who is asked to change, and where the impacts will be felt and by whom are fundamental questions that need to be addressed in decision-making. Everyone has a role to play in ensuring that justice and equity are incorporated into actions towards a more sustainable future.
Ricarda Winkelmann, Donovan P. Dennis, Jonathan F. Donges, Sina Loriani, Ann Kristin Klose, Jesse F. Abrams, Jorge Alvarez-Solas, Torsten Albrecht, David Armstrong McKay, Sebastian Bathiany, Javier Blasco Navarro, Victor Brovkin, Eleanor Burke, Gokhan Danabasoglu, Reik V. Donner, Markus Drüke, Goran Georgievski, Heiko Goelzer, Anna B. Harper, Gabriele Hegerl, Marina Hirota, Aixue Hu, Laura C. Jackson, Colin Jones, Hyungjun Kim, Torben Koenigk, Peter Lawrence, Timothy M. Lenton, Hannah Liddy, José Licón-Saláiz, Maxence Menthon, Marisa Montoya, Jan Nitzbon, Sophie Nowicki, Bette Otto-Bliesner, Francesco Pausata, Stefan Rahmstorf, Karoline Ramin, Alexander Robinson, Johan Rockström, Anastasia Romanou, Boris Sakschewski, Christina Schädel, Steven Sherwood, Robin S. Smith, Norman J. Steinert, Didier Swingedouw, Matteo Willeit, Wilbert Weijer, Richard Wood, Klaus Wyser, and Shuting Yang
EGUsphere, https://doi.org/10.5194/egusphere-2025-1899, https://doi.org/10.5194/egusphere-2025-1899, 2025
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The Tipping Points Modelling Intercomparison Project (TIPMIP) is an international collaborative effort to systematically assess tipping point risks in the Earth system using state-of-the-art coupled and stand-alone domain models. TIPMIP will provide a first global atlas of potential tipping dynamics, respective critical thresholds and key uncertainties, generating an important building block towards a comprehensive scientific basis for policy- and decision-making.
Jakob Deutloff, Hermann Held, and Timothy M. Lenton
Earth Syst. Dynam., 16, 565–583, https://doi.org/10.5194/esd-16-565-2025, https://doi.org/10.5194/esd-16-565-2025, 2025
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We investigate the probabilities of triggering climate tipping points under various emission scenarios and how they are altered by additional carbon emissions from the tipping of the Amazon and permafrost. We find that there is a high risk for triggering climate tipping points under a scenario comparable to current policies. However, the additional warming and hence the additional risk of triggering other climate tipping points from the tipping of the Amazon and permafrost remain small.
Chris A. Boulton, Joshua E. Buxton, and Timothy M. Lenton
Earth Syst. Dynam., 16, 411–421, https://doi.org/10.5194/esd-16-411-2025, https://doi.org/10.5194/esd-16-411-2025, 2025
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Early warning signals used to detect tipping points are tested on a dataset of daily views of online electric vehicle (EV) adverts. The attention given to EV adverts spikes upwards after specific events before returning to normality more slowly over time. Alongside increases in autocorrelation and variance, these results are consistent with the movement towards a tipping point to an EV-dominated market, highlighting the ability of these signals to work in previously untested social systems.
Mark S. Williamson and Timothy M. Lenton
Earth Syst. Dynam., 15, 1483–1508, https://doi.org/10.5194/esd-15-1483-2024, https://doi.org/10.5194/esd-15-1483-2024, 2024
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Climate models have transitioned to a superrotating atmospheric state under a broad range of warm climates. Such a transition would change global weather patterns should it occur. Here we simulate this transition using an idealized climate model and look for any early warnings of the superrotating state before it happens. We find several early warning indicators that we attribute to an oscillating pattern in the windfield fluctuations.
Sibel Eker, Timothy M. Lenton, Tom Powell, Jürgen Scheffran, Steven R. Smith, Deepthi Swamy, and Caroline Zimm
Earth Syst. Dynam., 15, 789–800, https://doi.org/10.5194/esd-15-789-2024, https://doi.org/10.5194/esd-15-789-2024, 2024
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Cascading effects through cross-system interactions are one of the biggest promises of positive tipping points to create rapid climate and sustainability action. Here, we review these in terms of their interactions with sociotechnical systems such as energy, transport, agriculture, society, and policy.
Stephen P. Hesselbo, Aisha Al-Suwaidi, Sarah J. Baker, Giorgia Ballabio, Claire M. Belcher, Andrew Bond, Ian Boomer, Remco Bos, Christian J. Bjerrum, Kara Bogus, Richard Boyle, James V. Browning, Alan R. Butcher, Daniel J. Condon, Philip Copestake, Stuart Daines, Christopher Dalby, Magret Damaschke, Susana E. Damborenea, Jean-Francois Deconinck, Alexander J. Dickson, Isabel M. Fendley, Calum P. Fox, Angela Fraguas, Joost Frieling, Thomas A. Gibson, Tianchen He, Kat Hickey, Linda A. Hinnov, Teuntje P. Hollaar, Chunju Huang, Alexander J. L. Hudson, Hugh C. Jenkyns, Erdem Idiz, Mengjie Jiang, Wout Krijgsman, Christoph Korte, Melanie J. Leng, Timothy M. Lenton, Katharina Leu, Crispin T. S. Little, Conall MacNiocaill, Miguel O. Manceñido, Tamsin A. Mather, Emanuela Mattioli, Kenneth G. Miller, Robert J. Newton, Kevin N. Page, József Pálfy, Gregory Pieńkowski, Richard J. Porter, Simon W. Poulton, Alberto C. Riccardi, James B. Riding, Ailsa Roper, Micha Ruhl, Ricardo L. Silva, Marisa S. Storm, Guillaume Suan, Dominika Szűcs, Nicolas Thibault, Alfred Uchman, James N. Stanley, Clemens V. Ullmann, Bas van de Schootbrugge, Madeleine L. Vickers, Sonja Wadas, Jessica H. Whiteside, Paul B. Wignall, Thomas Wonik, Weimu Xu, Christian Zeeden, and Ke Zhao
Sci. Dril., 32, 1–25, https://doi.org/10.5194/sd-32-1-2023, https://doi.org/10.5194/sd-32-1-2023, 2023
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We present initial results from a 650 m long core of Late Triasssic to Early Jurassic (190–202 Myr) sedimentary strata from the Cheshire Basin, UK, which is shown to be an exceptional record of Earth evolution for the time of break-up of the supercontinent Pangaea. Further work will determine periodic changes in depositional environments caused by solar system dynamics and used to reconstruct orbital history.
Mila Kim-Chau Fiona Ong, Fenna Blomsma, and Timothy Michael Lenton
EGUsphere, https://doi.org/10.5194/egusphere-2023-2361, https://doi.org/10.5194/egusphere-2023-2361, 2023
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We investigate the initially successful transition from regional bottle reuse for mineral water to a widespread bottle reuse system in Germany, its subsequent destabilisation, and what this teaches us about tipping dynamics in packaging systems. Our findings demonstrate opportunities to create an enabling environment for change, and the role of specific reinforcing feedback loops and interventions in accelerating or impeding sustainable transitions.
Taylor Smith, Ruxandra-Maria Zotta, Chris A. Boulton, Timothy M. Lenton, Wouter Dorigo, and Niklas Boers
Earth Syst. Dynam., 14, 173–183, https://doi.org/10.5194/esd-14-173-2023, https://doi.org/10.5194/esd-14-173-2023, 2023
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Multi-instrument records with varying signal-to-noise ratios are becoming increasingly common as legacy sensors are upgraded, and data sets are modernized. Induced changes in higher-order statistics such as the autocorrelation and variance are not always well captured by cross-calibration schemes. Here we investigate using synthetic examples how strong resulting biases can be and how they can be avoided in order to make reliable statements about changes in the resilience of a system.
Thomas S. Ball, Naomi E. Vaughan, Thomas W. Powell, Andrew Lovett, and Timothy M. Lenton
Geosci. Model Dev., 15, 929–949, https://doi.org/10.5194/gmd-15-929-2022, https://doi.org/10.5194/gmd-15-929-2022, 2022
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C-LLAMA is a simple model of the global food system operating at a country level from 2013 to 2050. The model begins with projections of diet composition and populations for each country, producing a demand for each food commodity and finally an agricultural land use in each country. The model can be used to explore the sensitivity of agricultural land use to various drivers within the food system at country, regional, and continental spatial aggregations.
Garry D. Hayman, Edward Comyn-Platt, Chris Huntingford, Anna B. Harper, Tom Powell, Peter M. Cox, William Collins, Christopher Webber, Jason Lowe, Stephen Sitch, Joanna I. House, Jonathan C. Doelman, Detlef P. van Vuuren, Sarah E. Chadburn, Eleanor Burke, and Nicola Gedney
Earth Syst. Dynam., 12, 513–544, https://doi.org/10.5194/esd-12-513-2021, https://doi.org/10.5194/esd-12-513-2021, 2021
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We model greenhouse gas emission scenarios consistent with limiting global warming to either 1.5 or 2 °C above pre-industrial levels. We quantify the effectiveness of methane emission control and land-based mitigation options regionally. Our results highlight the importance of reducing methane emissions for realistic emission pathways that meet the global warming targets. For land-based mitigation, growing bioenergy crops on existing agricultural land is preferable to replacing forests.
Cited articles
Abdulai, A. N., Abdul-Rahaman, A., and Issahaku, G.: Adoption and diffusion of conservation agriculture technology in Zambia: The role of social and institutional networks, Environ. Econ. Policy Stud., 23, 761–780, 2021.
Agundez, D., Lawali, S., Mahamane, A., Alia, R., and Solino, M.: Development of agroforestry food resources in Niger: Are farmers' preferences context specific?, World Dev., 157, 1–12, 2022.
Ainembabazi, J. H. and Mugisha, J.: The role of farming experience on the adoption of agricultural technologies: Evidence from smallholder farmers, J. Dev. Stud., 50, 666–679, https://doi.org/10.1080/00220388.2013.874556, 2014.
Ajayi, O. C., Akinnifesi, F. K., Sileshi, G., Chekeredza, S., and Mgomba, S.: Payment for environmental services (PES): A mechanism for promoting sustainable agroforestry land use practices among smallholder farmers in Southern Africa, Conf. Int. Res. Food Secur. Nat. Resour. Manag. Rural Dev., 1–8, 2008.
Alexander, M., Forastiere, L., Gupta, S., and Christakis, N. A.: Algorithms for seeding social networks can enhance the adoption of a public health intervention in urban India, P. Natl. Acad. Sci. USA, 119, 1–7, 2022.
Alpizar, F., Del Carpio, M. B., Ferraro, P. J., and Meiselman, B. S.: Exposure-enhanced goods and technology disadoption, Working paper, 36–37, https://econ.gatech.edu/sites/default/files/seminars/202202/122_ExposureEnhancedGoods WP March 2022.pdf (last access: 2 October 2025), 2022.
Amadu, F. O., McNamara, P. E., and Miller, D. C.: Understanding the adoption of climate-smart agriculture: A farm-level typology with empirical evidence from southern Malawi, World Dev., 125, 1–22, 2020.
Assogbadjo, A. E., Glele Kakai, R., Djagoun, C. A. M. S., Codjia, J. T. C., and Sinsin, B.: Biodiversity and socioeconomic factors supporting farmers' choice of wild edible trees in the agroforestry systems of Benin (West Africa), For. Policy Econ., 14, 41–49, https://doi.org/10.1016/j.forpol.2011.07.013, 2012.
Ayugi, B., Dike, V., Ngoma, H., Babaousmail, H., Mumo, R., and Ongoma, V.: Future changes in precipitation extremes over East Africa based on CMIP6 models, Water, 13, 1–19, 2021.
Benjamin, E. O. and Blum, M.: Participation of smallholders in agroforestry agri-environmental scheme: A lesson from the rural Mount Kenyan region, J. Dev. Areas, 49, 127–143, 2015.
Benjamin, E. O., Blum, M., and Punt, M.: The impact of extension and ecosystem services on smallholders' credit constraint, J. Dev. Areas, 50, 333–350, https://doi.org/10.1353/jda.2016.0020, 2016.
Benjamin, E. O., Ola, O., and Buchenrieder, G.: Does an agroforestry scheme with payment for ecosystem services (PES) economically empower women in sub-Saharan Africa?, Ecosyst. Serv., 31, 1–11, 2018.
Bergquist, L. F., Faber, B., Fally, T., Hoelzlein, M., Miguel, E., and Rodriguez-Clare, A.: Scaling up agricultural policy interventions: Evidence from Uganda, CEPR, https://cepr.org/voxeu/columns/scaling-agricultural-policy-interventions-evidence-uganda (last access: 2 October 2025), 2023.
Bikhchandani, S., Hirshleifer, D., Tamuz, O., and Welch, I.: Information cascades and social learning, NBER, 1–109, https://www.nber.org/papers/w28887 (last access: 2 October 2025), 2021.
Bouwman, T. I., Andersson, J. A., and Giller, K. E.: Adapting yet not adopting? Conservation agriculture in Central Malawi, Agric. Ecosyst. Environ., 307, 1–14, 2021.
Brown, B., Nuberg, I., and Llewellyn, R.: Negative evaluation of conservation agriculture: Perspectives from African smallholder farmers, Int. J. Agric. Sustain., 15, 467–481, https://doi.org/10.1080/14735903.2017.1336051, 2017.
Buxton, J., Powell, T., Ambler, J., Boulton, C., Nicholson, A., Arthur, R., Lees, K., Williams, H., and Lenton, M. T.: Community-driven tree planting greens the neighboring landscape, Sci. Rep., 11, 1–9, 2021.
Centola, D.: Influencers, backfire effects and the power of the periphery, in: Personal Networks, Cambridge University Press, Cambridge, 1–28, https://doi.org/10.1017/9781108878296.005, 2021.
Chinseu, E., Dougill, A., and Stringer, L.: Why do smallholder farmers dis-adopt conservation agriculture? Insights from Malawi, Land Degrad. Dev. (Special Issue), 30, 533–543, https://doi.org/10.1002/ldr.3190, 2019.
Djido, A., Zougmore, R. B., Houessionon, P., Ouedraogo, M., Ouedraogo, I., and Diouf, N. S.: To what extent do weather and climate information services drive the adoption of climate smart agriculture practices in Ghana, Clim. Risk Manag., 32, 1–14, 2021.
Djokoto, J. G., Owusu, V., and Awunyo-Vitor, D.: Adoption of organic agriculture: Evidence from cocoa farming in Ghana, Cogent Food Agric., 2, 1242181, 1–16, https://doi.org/10.1080/23311932.2016.1242181, 2016.
Dosio, A., Jury, M. W., Almazroui, M., Ashfaq, M., Diallo, I., Engelbrecht, F. A., Klutse, N. A. B., Lennard, C., Pinto, I., Sylla, M. B., and Tamoffo, A. T.: Projected future daily characteristics of African precipitation based on global (CMIP5, CMIP6) and regional (CORDEX, CORDEX-CORE) climate models, Clim. Dynam., 1–24, https://doi.org/10.1007/s00382-021-05859-w, 2021.
Emenyu, A. P. and Cunliffe, A.: Tess-laboratory/emenyu_et_al_accelerating_adoption: Accelerating Adoption of Regenerative Agriculture, v.2, Zenodo [data and code], https://doi.org/10.5281/zenodo.17245915, 2025.
Fehr, E. and Fischbacher, U.: Third-party punishment and social norms, Evol. Hum. Behav., 25, 63–87, 2004.
Fesenfeld, L. P., Schmid, N., Finger, R., Mathys, A., and Schmidt, T. S.: The politics of enabling tipping points for sustainable development, One Earth, 5, 1100–1108, 2022.
Forsythe, L., Nyamanda, M., Mbachi Mwangwela, A., and Bennet, B.: Belief, taboos and minor crop value chains, Food Cult. Soc., 18, 501–517, https://doi.org/10.1080/15528014.2015.1043112, 2015.
Geels, F. W.: Technological transitions as evolutionary reconfiguration processes: A multi-level perspective and a case-study, Res. Policy, 31, 1257–1274, 2002.
Giller, K. E., Hijbeek, R., Andersson, J. A., and Sumberg, J.: Regenerative agriculture: An agronomic perspective, Outlook Agric., 50, 13–25, 2021.
Gillespie, S., Menon, P., and Kennedy, A. L.: Scaling up impact on nutrition: What will it take?, Adv. Nutr., 6, 440–451, 2015.
Giroux, S., Kaminski, P., Waldman, K., Blekking, J., Evans, T., and Gaylor, K. K.: Smallholder social networks: Advice seeking and adaptation in rural Kenya, Agric. Syst., 205, 1–13, 2023.
Grabowski, P. P., Kerr, J. M., Haggblade, S., and Kabwe, S.: Determinants of adoption and disadoption of minimum tillage by cotton farmers in eastern Tanzania, Agric. Ecosyst. Environ., 231, 54–67, 2016.
Habanyati, E. J., Nyanga, P. H., and Umar, B. B.: Factors contributing to disadoption of conservation agriculture among smallholder farmers in Petauke, Zambia, Kasetsart J. Soc. Sci., 41, 91–96, 2020.
Halevy, N. and Halali, E.: Selfish third parties act as peacemakers by transforming conflicts and promoting cooperation, P. Natl. Acad. Sci. USA, 112, 6937–6942, 2015.
Herrando, C. and Constantinides, E.: Emotional Contagion: A Brief Overview and Future Directions, Front. Psychol., 12, 712606, https://doi.org/10.3389/fpsyg.2021.712606, 2021.
IFAD: Agriculture holds great promise for Africa, More than half of the Earth's arable land-roughly 600 million hectares-is located in Africa [Field report], Change Starts Here, http://www.ifad.org/thefieldreport, last access: 2 October 2025.
IPCC: Climate Change 2022: Impacts, Adaptation and Vulnerability Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK and New York, USA, 84, https://doi.org/10.1017/9781009325844, 2022.
IUCN: Regenerative agriculture works: New research and African businesses show how, https://www.iucn.org/news/nature-based-solutions/202110/regenerative-agriculture-works-new-research-and-african-businesses-show-how (last access: 2 October 2025), 2021.
Kehinde, A. D. and Adeyemo, R.: A probit Analysis of Factors Affecting Improved Technologies Dis-adoption in Cocoa-Based Farming Systems of Southwestern Nigeria, Int. J. Agric. Econ., 2, 35–41, https://doi.org/10.11648/j.ijae.20170202.12, 2017.
Khoza, S., Van Niekerk, D., and Nemakonde, L. D.: Understanding gender dimensions of climate-smart agriculture adoption in disaster-prone smallholder farming communities in Malawi and Zambia, Disast. Prev. Manag., 28, 530–547, https://doi.org/10.1108/DPM-10-2018-0347, 2019.
Kifle, T., Ayal, D. Y., and Mulugeta, M.: Factors influencing farmers adoption of climate smart agriculture to respond climate variability in Siyandebrina Wayu District, Central Highlands of Ethiopia, Clim. Serv., 26, 1–10, 2022.
Kouassi, J.-L., Kouassi, A., Bene, Y., Konan, D., Tondoh, E. J., and Kouame, C.: Exploring Barriers to Agroforestry Adoption by Cocoa Farmers in South-Western Côte d'Ivoire, Sustainability, 13, 1–16, 2021.
Kunzekweguta, M., Rich, M. K., and Lyne, C. M.: Factors affecting adoption and intensity of conservation agriculture techniques applied by smallholders in Masvingo district, Zimbabwe, Agric. Econ. Res. Policy Pract. South. Afr., 56, 330–346, https://doi.org/10.1080/03031853.2017.1371616, 2017.
Kurgat, B. K., Lamanna, C., Kimaro, A., Namoi, N., Manda, L., and Rosenstock, T. S.: Adoption of climate smart agriculture technologies in Tanzania, Front. Sustain. Food Syst., 4, 1–9, https://doi.org/10.3389/fsufs.2020.00055, 2020.
LaSalle, T. J. and Hepperly, P.: Regenerative Organic Farming: A solution to global warming, Rodale Institute, https://www.researchgate.net/publication/237136333_Regenerative_Organic_Farming_A_Solution_to_Global_Warming (last access: 2 October 2025), 2008.
Lenton, T. M., Benson, S., Smith, T., Ewar, T., Lanel, V., Petykowski, E., Powell, T. W. R., Abrams, J. F., Blomsma, F., and Sharpe, S.: Operationalising positive tipping points towards global sustainability, Glob. Sustain., 5, 1–6, 2022.
Li, C., Stomph, T.-J., Makowski, D., Li, H., Zhang, C., Zhang, F., and Van der Werf, W.: The productive performance of intercropping, P. Natl. Acad. Sci. USA, 120, 1–10, 2023.
Maindi, N. C., Osuga, I. M., and Gicheha, M. G.: Advancing climate smart agriculture: Adoption potential of multiple on-farm dairy production strategies among farmers in Muranga County, Kenya, Livest. Res. Rural Dev., 32,http://www.lrrd.org/lrrd32/4/izzac32063.html (last access: 2 October 2025), 2020.
Marrakech Partnership: Sharm-El-Sheikh Adaptation Agenda, The global transformation towards adaptive and resilient development [Graphic], https://climatechampions.unfccc.int/wp-content/uploads/2022/11/SeS-Adaptation-Agenda_Complete-Report-COP27_FINAL-1.pdf (last access: 2 October 2025), 2022.
Masiga, M., Yankel, C., and Iberre, C.: The International Small Group Tree Planting Program (TIST) Kenya (Institutional Innovations in African Smallholder Carbon Projects Case Study), CGIAR Res. Program Clim. Change Agric. Food Secur. (CCAFS), 1–16, https://cgspace.cgiar.org/handle/10568/21216 (last access: 2 October 2025), 2012.
Millar, J. and Connell, J.: Strategies for scaling out impacts from Agric. Syst. change: The case of forages and livestock production in Laos, Agric. Hum. Values, 27, 213–225, 2010.
Mills, M., Bode, M., Mascia, M. B., Weeks, R., Gelcich, S., Dudley, N., Govan, H., Archibald, C. L., Romero-de-Diego, C., Holden, M., Biggs, D., Glew, L., Naidoo, R., and Possingham, H. P.: How conservation initiatives go to scale, Nat. Sustain., 2, 935–940, 2019.
Moore, M. L., Riddell, D., and Vocisano, D.: Scaling Out, Scaling up, Scaling Deep: Strategies of Non-profits in Advancing Systemic Social Innovation, J. Corp. Citizsh., 58, 67–84, 2015.
Mujeyi, A., Mudhara, M., and Mutenje, M. J.: Adoption patterns of climate-smart agriculture in integrated crop-livestock smallholder systems of Zimbabwe, Clim. Dev., 14, 399–408, https://doi.org/10.1080/17565529.2021.1930507, 2022.
Muriithi, L. N., Onyari, C. N., Mogaka, K. R., Gichimu, B. M., Gatumo, G. N., and Kwena, K.: Adoption determinants of adapted climate smart agricultural technologies among smallholder farmers in Machakos, Makueni and Kitui Counties of Kenya, J. Agric. Ext., 25, 75–85, 2021.
Murindangabo, Y. T., Kopecky, M., and Konvalina, P.: Adoption of conservation agriculture in Rwanda; A case study of Gicumbi District Region, Agronomy, 11, 1–13, 2021.
Newton, P., Civita, N., Frankel-Goldwater, L., Bartel, K., and Johns, C.: What Is Regenerative Agriculture? A Review of Scholar and Practitioner Definitions Based on Processes and Outcomes, Front. Sustain. Food Syst., 4, 1–11, https://doi.org/10.3389/fsufs.2020.577723, 2020.
Nezomba, H., Mtambanengwe, F., Tittonell, P., and Mapfumo, P.: Practical assessment of soil degradation on smallholder farmers' fields in Zimbabwe: Integrating local knowledge and scientific diagnostic indicators, Catena, 156, 216–227, 2017.
Nicol, P.: Pathways to scaling agroecology in the city region: Scaling out, scaling up and scaling deep through community-led trade, Sustainability, 12, 1–20, 2020.
Oladele, O. I., Gitika, M. P., Ngari, F., Shimeles, A., Mamo, G., Aregawi, F., Braimoh, A. K., and Olorunfemi, O. D.: Adoption of agro-weather information sources for climate smart agriculture among farmers in Embu and Ada districts of Kenya and Ethiopia, Inf. Dev., 35, 639–654, https://doi.org/10.1177/0266666918779639, 2019.
Owombo, P. T. and Idumah, F. O.: Determinants of agroforestry technology adoption among arable crop farmers in Ondo state, Nigeria: An empirical investigation, Agrofor. Syst., 91, 919–926, https://doi.org/10.1007/s10457-016-9967-2, 2017.
Page, R. and Dilling, L.: The critical role of communities of practice and peer learning in scaling hydroclimatic information adoption, B. Am. Meteorol. Soc., 851–862, https://doi.org/10.1175/WCAS-D-18-0130.1, 2019.
Powell, T., Smith, S. R., Zimm, C., and Bailey, E.: Section 4: Positive tipping points in technology, economy and society, in: Global Tipping Points Report, University of Exeter, https://global-tipping-points.org/download/4613/ (last access: 2 October 2025), 2023.
Randall, J. R., Nickel, N. C., and Colman, I.: Contagion from peer suicidal behaviour in a representative sample of American adolescents, J. Affect. Disord., Res. Rep., 219–225, https://doi.org/10.1016/j.jad.2015.07.001, 2015.
Razafimahatratra, H. M., Bignebat, C., David-Benz, H., Belieres, J.-F., and Penot, E.: Tryout and (Dis)adoption of conservation agriculture. Evidence from Western Madagascar, Land Use Policy, 100, 1–13, 2021.
Reed, M. S.: Participatory technology development for agroforestry extension: An innovation-decision approach, Afr. J. Agric. Res., 2, 334–341, 2007.
Rehberger, E., West, P. C., Spillane, C., and McKeown, P. C.: What climate and environmental benefits of regenerative agriculture practices? An evidence review, Environ. Res. Commun., 5, Topical Review, https://doi.org/10.1088/2515-7620/acd6dc, 2023.
Reid, H. and Swiderska, K.: Biodiversity, climate change and poverty: Exploring the links, Int. Inst. Environ. Dev., 1–6, https://www.jstor.org/stable/pdf/resrep01413.pdf (last access: 2 October 2025), 2008.
Schreefel, L., Schulte, R. P. O., De Boer, I. J. M., Pas Schrijver, A., and van Zanten, H. H. E.: Regenerative agriculture – The soil is the base, Glob. Food Secur., 26, 100404, https://doi.org/10.1016/j.gfs.2020.100404, 2020.
Strauss, T. and Chhabria, P.: What is regenerative agriculture and how can it help us get to net zero food systems? 3 industry leaders explain, Climate Champions, https://www.weforum.org/agenda/2022/12/3-industry-leaders-on-achieving-net-zero-goals-with-regenerative-agriculture-practices/ (last access: 2 October 2025), 2022.
Takeshima, H.: Custom-hired tractor services and returns to scale in smallholder agriculture: A production function approach, Agric. Econ., 48, 363–372, https://doi.org/10.1111/agec.12339, 2017.
Teklu, A., Simane, B., and Bezabith, M.: Multiple adoption of climate smart agricultural innovation for agricultural sustainability: Empirical evidence from the upper Blue Nile Highlands of Ethiopia, Clim. Risk Manag., 39, 1–15, 2023.
Tokita, C. K., Guess, A. M., and Tarnita, C. E.: Polarized information ecosystems can reorganize social networks via information cascades, P. Natl. Acad. Sci. USA, 118, 1–9, 2021.
Tucker, C.: Network effects and market power: What have we learned in the last decade?, Antitrust, Spring, 72–79, https://gai.gmu.edu/wp-content/uploads/sites/27/2021/05/Session-13_Tucker-Network-Effects.pdf (last access: 2 October 2025), 2018.
Wafula, L., Oduol, J., Oluoch-Kosura, W., Muriuki, J., Okello, J., and Mowo, J.: Does strengthening technical capacity of smallholder farmers enhance adoption of conservation practices? The case of conservation agriculture with trees in Kenya, Agroforest. Syst., 90, 1045–1059, https://doi.org/10.1007/s10457-015-9882-y, 2016.
Wainwright, C. M., Black, E., and Allan, R. P.: Future changes in wet and dry season characteristics in CMIP5 and CMIP6 simulations, J. Hydrometeorol., 22, 2339–2357, https://doi.org/10.1175/JHM-D-21-0017.1, 2021.
Zulu-Mbata, O., Chapoto, A., and Hichaambwa, M.: Determinants of conservation agriculture adoption among Zambian smallholder farmers, Working Paper No. 114, 1–22, https://doi.org/10.13140/RG.2.2.26850.32965, 2016.
Short summary
This paper proposes a new framework combining scaling theory with positive tipping points to explain how regenerative agriculture can scale rapidly. Drawing on the TIST programme (The International Small group and Tree planting programme) in East Africa, it shows that enabling conditions – like affordability, accessibility, and social trust – can trigger feedback loops such as social contagion and network effects. However, outcomes remain highly context-specific, requiring tailored approaches for sustained adoption.
This paper proposes a new framework combining scaling theory with positive tipping points to...
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