Sustainable soil governance pathways toward zero food gap
Achieving zero food gap has become a strategic global priority in response to increasing pressures from population growth, land degradation, climate change, and resource scarcity. Despite substantial advances in agricultural technologies, persistent disparities between food demand and production highlight the need for integrated approaches that strengthen the natural resource base while improving decision-making and policy implementation. Among these resources, healthy soils constitute the foundation of sustainable food systems, making sustainable soil governance the essential first step toward resilient food production. This review synthesizes recent advances in soil science, Earth observation, artificial intelligence, and decision support systems to develop an integrated conceptual framework—Sustainable Soil Governance Pathways Toward Zero Food Gap. Following the PRISMA 2020 framework, peer-reviewed literature published between 2015 and 2026 was systematically analyzed and organized into four interconnected domains: sustainable soil management, digital soil intelligence, sustainable soil governance, and enabling societal drivers. Rather than treating these domains independently, the review emphasizes their interactions in transforming scientific evidence into coordinated management and policy actions. The proposed framework identifies sustainable soil governance as the central coordinating mechanism that links healthy soils to digital innovation, evidence-based decision-making, and broader environmental, institutional, and socioeconomic conditions influencing food systems. This perspective recognizes that while soil governance is not the sole determinant of food security, it provides the foundation for integrating complementary interventions to advance the long-term vision of zero food gap. The framework offers a practical roadmap for supporting resilient, productive, and sustainable food systems.
- Falcon WP, Naylor RL, Shankar ND. Rethinking global food demand for 2050. Popul Dev Rev. 2022;48(4):921-957. doi: 10.1111/padr.12508
- van Dijk M, Morley T, Rau ML, Saghai Y. A meta-analysis of projected global food demand and population at risk of hunger for the period 2010–2050. Nat Food. 2021;2(7):494-501. doi: 10.1038/s43016-021-00322-9
- Amundson R, Berhe AA, Hopmans JW, Olson C, Sztein AE, Sparks DL. Soil and human security in the 21st century. Science. 2015;348(6235):1261071. doi: 10.1126/science.1261071
- le Maire G, Marsden C, Nouvellon Y, et al. MODIS NDVI time-series allow the monitoring of Eucalyptus plantation biomass. Remote Sens Environ. 2011;115(10):2613-2625. doi: 10.1016/j.rse.2011.05.017
- Odebiri O, Mutanga O, Odindi J. Deep learning-based national scale soil organic carbon mapping with Sentinel-3 data. Geoderma. 2022;411:115695. doi: 10.1016/j.geoderma.2022.115695
- Hou D, Bolan NS, Tsang DCW, Kirkham MB, O’Connor D. Sustainable soil use and management: an interdisciplinary and systematic approach. Sci Total Environ. 2020;729:138961. doi: 10.1016/j.scitotenv.2020.138961
- Tzoulas K, Korpela K, Venn S, et al. Promoting ecosystem and human health in urban areas using green infrastructure: a literature review. Landsc Urban Plan. 2007;81(3):167-178. doi: 10.1016/j.landurbplan.2007.02.001
- Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71
- Hou D. Soil health and ecosystem services. Soil Use Manag. 2023;39(4):1259-1266. doi: 10.1111/sum.12945
- Bünemann EK, Bongiorno G, Bai Z, et al. Soil quality—a critical review. Soil Biol Biochem. 2018;120:105-125. doi: 10.1016/j.soilbio.2018.01.030
- Cadel M, Cousin I, Therond O. Relationships between soil ecosystem services in temperate annual field crops: a systematic review. Sci Total Environ. 2023;902:165930. doi: 10.1016/j.scitotenv.2023.165930
- Banerjee S, van der Heijden MGA. Soil microbiomes and one health. Nat Rev Microbiol. 2023;21(1):6-20. doi: 10.1038/s41579-022-00779-w
- Schjønning P, van den Akker JJH, Keller T, et al. Driver-pressure-state-impact-response (DPSIR) analysis and risk assessment for soil compaction: a European perspective. Adv Agron. 2015;133:183-237. doi: 10.1016/bs.agron.2015.06.001
- Panagos P, Vieira D, Eekhout JPC, et al. How the EU Soil Observatory contributes to a stronger soil erosion community. Environ Res. 2024;248:118319. doi: 10.1016/j.envres.2024.118319
- Hassani A, Azapagic A, Shokri N. Global predictions of primary soil salinization under changing climate in the 21st century. Nat Commun. 2021;12(1):6663. doi: 10.1038/s41467-021-26907-3
- Guerra CA, Bardgett RD, Caon L, et al. Tracking, targeting, and conserving soil biodiversity. Science. 2021;371(6526):239-241. doi: 10.1126/science.abd7926
- Lal R. Regenerative agriculture for food and climate. J Soil Water Conserv. 2020;75(5):123A-124A. doi: 10.2489/jswc.2020.0620A
- Newton P, Civita N, Frankel-Goldwater L, Bartel K, Johns C. What is regenerative agriculture? A review of scholar and practitioner definitions based on processes and outcomes. Front Sustain Food Syst. 2020;4:577723. doi: 10.3389/fsufs.2020.577723
- Schreefel L, Schulte RPO, de Boer IJM, Schrijver AP, van Zanten HHE. Regenerative agriculture - the soil is the base. Glob Food Secur. 2020;26:100404. doi: 10.1016/j.gfs.2020.100404
- Khangura R, Ferris D, Wagg C, Bowyer J. Regenerative agriculture—a literature review on the practices and mechanisms used to improve soil health. Sustainability. 2023;15(3):2338. doi: 10.3390/su15032338
- Rehberger E, West PC, Spillane C, McKeown PC. What climate and environmental benefits of regenerative agriculture practices? An evidence review. Environ Res Commun. 2023;5(5):052001. doi: 10.1088/2515-7620/acd6dc
- Wiesmeier M, Urbanski L, Hobley E, et al. Soil organic carbon storage as a key function of soils—a review of drivers and indicators at various scales. Geoderma. 2019;333(5):149-162. doi: 10.1016/j.geoderma.2018.07.026
- Joseph S, Cowie AL, Van Zwieten L, et al. How biochar works, and when it does not: a review of mechanisms controlling soil and plant responses to biochar. GCB Bioenergy. 2021;13(11):1731-1764. doi: 10.1111/gcbb.12885
- Vanlauwe B, Bationo A, Chianu J, et al. Integrated soil fertility management: operational definition and consequences for implementation and dissemination. Outlook Agric. 2010;39(1):17-24. doi: 10.5367/000000010791169998
- Chazdon RL, Brancalion PHS, Lamb D, Laestadius L, Calmon M, Kumar C. A policy-driven knowledge agenda for global forest and landscape restoration. Conserv Lett. 2017;10(1):125-132. doi: 10.1111/conl.12220
- Syromiatnykov Y, Mamatov F, Sholoiko A, et al. Geometry-optimized strip tillage for improving soil physical quality and hydraulic function in semi-arid vineyards. Agriculture. 2026;16(7):751. doi: 10.3390/agriculture16070751
- Syromyatnikov Y, Troyanovskaya I, Zagidullin R, Tikhonov E, Orekhovskaya A, Voinash S. Soil density in traditional mouldboard tillage. Acta Technol Agric. 2023;26(3):159-165. doi: 10.2478/ata-2023-0021
- Pashchenko VF, Syromyatnikov YUN, Hramov NS, Vojnash SA. The influence of local loosening of the soil on soybean productivity. Tractors Agric Mach. 2019;86(5):79-86. doi: 10.31992/0321-4443-2019-5-79-86
- Syromiatnykov Y. Sustainable soybean cultivation using nitrogen-fixing bacteria and humic products derived from agricultural waste: a review. Asian J Water Environ Pollut. 2025;22(6):1-20. doi: 10.36922/AJWEP025230190
- Syromiatnykov Y, Mamatov F, Fayzullaev K, et al. Optimization of Leveler-Compactor parameters in combined strip tillage for soil preparation under plastic film for melon crops. Agronomy. 2026;16(8):809. doi: 10.3390/agronomy16080809
- Wadoux AMJC, Minasny B, McBratney AB. Machine learning for digital soil mapping: applications, challenges and suggested solutions. Earth Sci Rev. 2020;210:103359. doi: 10.1016/j.earscirev.2020.103359
- Padarian J, Minasny B, McBratney AB. Using deep learning for digital soil mapping. SOIL. 2019;5(1):79-89. doi: 10.5194/soil-5-79-2019
- Peng J, Albergel C, Balenzano A, et al. A roadmap for high-resolution satellite soil moisture applications: confronting product characteristics with user requirements. Remote Sens Environ. 2021;252:112162. doi: 10.1016/j.rse.2020.112162
- Arrouays D, Poggio L, Mulder VL, Salazar O. Digital soil mapping and GlobalSoilMap—scientific advances and the operational use of digital soil mapping to address global environmental challenges. Geoderma Reg. 2021;26:e00414. doi: 10.1016/j.geodrs.2021.e00414
- Poggio L, de Sousa LM, Batjes NH, et al. SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. SOIL. 2021;7(1):217-240. doi: 10.5194/soil-7-217-2021
- Lamichhane S, Kumar L, Wilson B. Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: a review. Geoderma. 2019;352:395-413. doi: 10.1016/j.geoderma.2019.05.031
- Chen S, Arrouays D, Mulder VL, et al. Digital mapping of GlobalSoilMap soil properties at a broad scale: a review. Geoderma. 2022;409:115567. doi: 10.1016/j.geoderma.2021.115567
- van der Westhuizen S, Heuvelink GBM, Hofmeyr DP. Multivariate random forest for digital soil mapping. Geoderma. 2023;431:116365. doi: 10.1016/j.geoderma.2023.116365
- Li Q, Zhang C, Shangguan W, Li L, Dai Y. A novel local-global dependency deep learning model for soil mapping. Geoderma. 2023;438:116649. doi: 10.1016/j.geoderma.2023.116649
- Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R. Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens Environ. 2017;202:18-27. doi: 10.1016/j.rse.2017.06.031
- Tamiminia H, Salehi B, Mahdianpari M, Quackenbush L, Adeli S, Brisco B. Google Earth Engine for geo-big data applications: A meta-analysis and systematic review. ISPRS J Photogramm Remote Sens. 2020;164:152-170. doi: 10.1016/j.isprsjprs.2020.04.001
- Piikki K, Wetterlind J, Söderström M, Stenberg B. Perspectives on validation in digital soil mapping of continuous attributes—a review. Soil Use Manag. 2021;37(1):7-21. doi: 10.1111/sum.12694
- Walling E, Vaneeckhaute C. Developing successful environmental decision support systems: challenges and best practices. J Environ Manag. 2020;264:110513. doi: 10.1016/j.jenvman.2020.110513
- Zhai Z, Martínez JF, Beltran V, Martínez NL. Decision support systems for agriculture 4.0: survey and challenges. Comput Electron Agric. 2020;170:105256. doi: 10.1016/j.compag.2020.105256
- Arrouays D, McBratney A, Bouma J, et al. Impressions of digital soil maps: the good, the not so good, and making them ever better. Geoderma Reg. 2020;20:e00255. doi: 10.1016/j.geodrs.2020.e00255
- Colapinto C, Jayaraman R, Ben Abdelaziz F, La Torre D. Environmental sustainability and multifaceted development: multi-criteria decision models with applications. Ann Oper Res. 2020;293(2):405-432. doi: 10.1007/s10479-019-03403-y
- Rivera-Marin D, Dash J, Ogutu B. The use of remote sensing for desertification studies: a review. J Arid Environ. 2022;206(2):104829. doi: 10.1016/j.jaridenv.2022.104829
- Liu J, Li M, Jafari Shalamzari M, et al. A remote sensing-based early warning system for desertification: monitoring spatiotemporal dynamics and identifying risk zones. Land Degrad Dev. 2026;37(11):6496-6515. doi: 10.1002/ldr.70529
- Peake LR, Robb C. Saving the ground beneath our feet: establishing priorities and criteria for governing soil use and protection. R Soc Open Sci. 2021;8(11):201994. doi: 10.1098/rsos.201994
- Bodle R. International soil governance. Soil Secur. 2022;6:100037. doi: 10.1016/j.soisec.2022.100037
- Ginzky H, Ruppel OC. Soil protection law in Africa: insights and recommendations based on country studies from Cameroon, Kenya and Zambia. Soil Secur. 2022;6:100032. doi: 10.1016/j.soisec.2021.100032
- Eugenio NR, Ginzky H, Heuser IL, Hannam I, Ruppel OC, Sambo PT. Foreword of the second special issue on “Soil Governance.” Soil Secur. 2024;16:100138. doi: 10.1016/j.soisec.2024.100138
- Bouma J, Montanarella L. Facing policy challenges with inter- and transdisciplinary soil research focused on the United Nations Sustainable Development Goals. SOIL. 2016;2(2):135-145. doi: 10.5194/soil-2-135-2016
- Peake LR, Robb C. The global standard bearers of soil governance. Soil Secur. 2022;6:100055. doi: 10.1016/j.soisec.2022.100055
- Sanchez-Garcia C, Button E, Wynne-Jones S, Porter H, Rugg I, Hannam JA. Finding common ground: co-producing national soil policy in Wales through academic and government collaboration. Soil Secur. 2023;11:100095. doi: 10.1016/j.soisec.2023.100095
- Helming K, Daedlow K, Hansjürgens B, Koellner T. Assessment and governance of sustainable soil management. Sustainability. 2018;10(12):4432. doi: 10.3390/su10124432
- Ginzky H. Soil governance: the case of implementation and enforcement. Soil Secur. 2022;6:100040. doi: 10.1016/j.soisec.2022.100040
- Sharififar A, Borrelli P, Evangelista SJ, et al. Soil policy principles and a policymaking framework using the soil security concept. Environ Sci Policy. 2025;168:104057. doi: 10.1016/j.envsci.2025.104057
- Ovienmhada U, Mouftaou F, Wood D. Inclusive design of Earth observation decision support systems for environmental governance: a case study of Lake Nokoué. Front Clim. 2021;3:717418. doi: 10.3389/fclim.2021.717418
- Gebreegziabher T, Suryabhagavan KV, Raghuvanshi TK. WebGIS-based decision support system for soil erosion assessment in Legedadi watershed, Oromia Region, Ethiopia. Geol Ecol Landsc. 2023;7(2):97-114. doi: 10.1080/24749508.2021.1924441
- Cinelli M, Kadziński M, Miebs G, Gonzalez M, Słowiński R. Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system. Eur J Oper Res. 2022;302(2):633-651. doi: 10.1016/j.ejor.2022.01.011
- Kandakoglu A, Frini A, Ben Amor S. Multicriteria decision making for sustainable development: a systematic review. J Multi-Crit Decis Anal. 2019;26(5-6):202-251. doi: 10.1002/mcda.1682
- Purcell W, Neubauer T. Digital twins in agriculture: a state-of-the-art review. Smart Agric Technol. 2023;3:100094. doi: 10.1016/j.atech.2022.100094
- Ortiz-Bobea A, Ault TR, Carrillo CM, Chambers RG, Lobell DB. Anthropogenic climate change has slowed global agricultural productivity growth. Nat Clim Chang. 2021;11(4):306-312. doi: 10.1038/s41558-021-01000-1
- Intergovernmental Panel on Climate Change (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, UK: Cambridge University Press; 2023. doi: 10.1017/9781009325844
- Wheeler T, von Braun J. Climate change impacts on global food security. Science. 2013;341(6145):508-513. doi: 10.1126/science.1239402
- Lobell DB, Gourdji SM. The influence of climate change on global crop productivity. Plant Physiol. 2012;160(4):1686-1697. doi: 10.1104/pp.112.208298
- Oldfield EE, Bradford MA, Wood SA. Global meta-analysis of the relationship between soil organic matter and crop yields. SOIL. 2019;5(1):15-32. doi: 10.5194/soil-5-15-2019
- Emde D, Hannam KD, Most I, Nelson LM, Jones MD. Soil organic carbon in irrigated agricultural systems: a meta-analysis. Glob Change Biol. 2021;27(16):3898-3910. doi: 10.1111/gcb.15680
- Seddon N. Harnessing the potential of nature-based solutions for mitigating and adapting to climate change. Science. 2022;376(6600):1410-1416. doi: 10.1126/science.abn9668
- Turner B, Devisscher T, Chabaneix N, Woroniecki S, Messier C, Seddon N. The role of nature-based solutions in supporting social-ecological resilience for climate change adaptation. Annu Rev Environ Resour. 2022;47:123-148. doi: 10.1146/annurev-environ-012220-010017
- Mekonnen MM, Hoekstra AY. Four billion people facing severe water scarcity. Sci Adv. 2016;2(2). doi: 10.1126/sciadv.1500323
- Rosa L, Chiarelli DD, Rulli MC, Dell’Angelo J, D’Odorico P. Global agricultural economic water scarcity. Sci Adv. 2020;6(18). doi: 10.1126/sciadv.aaz6031
- Jägermeyr J, Pastor A, Biemans H, Gerten D. Reconciling irrigated food production with environmental flows for sustainable development goals implementation. Nat Commun. 2017;8(1):15900. doi: 10.1038/ncomms15900
- Corona-López E, Román-Gutiérrez AD, Otazo-Sánchez EM, Guzmán-Ortiz FA, Acevedo-Sandoval QA. Water-food nexus assessment in agriculture: a systematic review. Int J Environ Res Public Health. 2021;18(9):4983. doi: 10.3390/ijerph18094983
- Talaviya T, Shah D, Patel N, Yagnik H, Shah M. Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides. Artif Intell Agric. 2020;4:58-73. doi: 10.1016/j.aiia.2020.04.002
- Gorguner M, Kavvas ML. Modeling impacts of future climate change on reservoir storages and irrigation water demands in a Mediterranean basin. Sci Total Environ. 2020;748:141246. doi: 10.1016/j.scitotenv.2020.141246
- Wahbeh S, Anastasiadis F, Sundarakani B, Manikas I. Exploration of food security challenges towards more sustainable food production: a systematic literature review of the major drivers and policies. Foods. 2022;11(23):3804. doi: 10.3390/foods11233804
- Pretty J, Benton TG, Bharucha ZP, et al. Global assessment of agricultural system redesign for sustainable intensification. Nat Sustain. 2018;1(8):441-446. doi: 10.1038/s41893-018-0114-0
- Webb P, Benton TG, Beddington J, Flynn D, Kelly NM, Thomas SM. The urgency of food system transformation is now irrefutable. Nat Food. 2020;1(10):584-585. doi: 10.1038/s43016-020-00161-0
- Giller KE, Delaune T, Silva JV, et al. The future of farming: who will produce our food? Food Secur. 2021;13(5):1073-1099. doi: 10.1007/s12571-021-01184-6
- Birner R, Daum T, Pray C. Who drives the digital revolution in agriculture? A review of supply-side trends, players and challenges. Appl Econ Perspect Policy. 2021;43(4):1260-1285. doi: 10.1002/aepp.13145
- Zougmoré RB, Läderach P, Campbell BM. Transforming food systems in Africa under climate change pressure: role of climate-smart agriculture. Sustainability. 2021;13(8):4305. doi: 10.3390/su13084305
- Melesse MB, van den Berg M, Béné C, de Brauw A, Brouwer ID. Metrics to analyze and improve diets through food systems in low and middle income countries. Food Secur. 2020;12(5):1085-1105. doi: 10.1007/s12571-020-01091-2
- Barbosa Junior M, Pinheiro E, Sokulski CC, Ramos Huarachi DA, de Francisco AC. How to identify barriers to the adoption of sustainable agriculture? A study based on a multi-criteria model. Sustainability. 2022;14(20):13277. doi: 10.3390/su142013277
- Klerkx L, Rose D. Dealing with the game-changing technologies of Agriculture 4.0: how do we manage diversity and responsibility in food system transition pathways? Glob Food Secur. 2020;24:100347. doi: 10.1016/j.gfs.2019.100347
- Fabregas R, Kremer M, Schilbach F. Realizing the potential of digital development: the case of agricultural advice. Science. 2019;366(6471). doi: 10.1126/science.aay3038
- Doss C. Women and agricultural productivity: reframing the issues. Dev Policy Rev. 2018;36(1):35-50. doi: 10.1111/dpr.12243
- Piñeiro V, Arias J, Dürr J, et al. A scoping review on incentives for adoption of sustainable agricultural practices and their outcomes. Nat Sustain. 2020;3(10):809-820. doi: 10.1038/s41893-020-00617-y
