Regenerative agriculture in the 2020s: A global review of soil, climate, productivity, and socio-economic evidence (2020–2025)Jan Peeters1*, Stijn Willems2, Koen Jacobs3, Benoît Martin3
1*CARAH asbl, Rumbeke-Beitem, Flanders, Belgium
2Smissenbroek, Belgium, Merelbeke, Flanders, Belgium
3Walloon Agricultural Research Centre, Gembloux, Wallonia, Belgium
*Correspondence to: Jan Peeters
Citation: Peeters J., Willems S., Jacobs K., Martin B. (2025). Regenerative agriculture in the 2020s: A global review of soil, climate, productivity, and socio-economic evidence (2020–2025). Sci Academique, 6(2): 99-104
Received: 29 August, 2025; Accepted: 2 October, 2025; Published: 16 October, 2025
Abstract
Regenerative agriculture (RA) has emerged as a transformative approach to sustainable farming, emphasizing soil health, biodiversity, climate resilience, and socio-economic benefits. This review synthesizes findings from peer-reviewed studies and meta-analyses published between 2020 and 2025, evaluating the effects of RA on soil organic carbon (SOC), greenhouse gas (GHG) emissions, crop productivity, biodiversity, and socio-economic outcomes. Evidence indicates that RA practices – such as reduced tillage, cover cropping, agroforestry, crop diversification, and livestock integration – enhance soil quality, mitigate climate change, increase biodiversity, and improve farm profitability. Effectiveness is context-dependent, influenced by soil type, climate, landscape structure, and socio-economic conditions. Trade-offs, adoption challenges, and research gaps are highlighted, providing a framework for optimizing RA globally.
Keywords: Regenerative agriculture; Soil health; Greenhouse gas emissions; Crop productivity; Biodiversity; Socio-economic outcomes; Global review; 2020–2025
Introduction
Agriculture faces unprecedented challenges due to soil degradation, biodiversity loss, and climate change. Conventional farming practices—excessive tillage, chemical fertilizers, and monocropping—have intensified these problems. Regenerative agriculture (RA) offers a holistic solution by restoring soil health, enhancing ecosystem services, and improving socio-economic resilience. RA practices include cover cropping, reduced or no-tillage, organic amendments, agroforestry, crop diversification, and integrated livestock management. Between 2020 and 2025, a growing body of research evaluated RA’s environmental and socio-economic impacts globally. This review synthesizes evidence on RA practices, highlighting key outcomes, patterns, trade-offs, and gaps.
Literature Review
Soil Health and Carbon Sequestration
Recent studies (2020–2025) consistently report that RA practices enhance soil organic carbon (SOC) and improve soil structure. Patil et al. (2025) [1] analyzed 147 studies across India, showing SOC gains of 10–25% over 3–5 years under cover crops, organic amendments, and reduced tillage. Similar results were observed globally: agroforestry, multi-species cover cropping, and organic amendments improved water infiltration, nutrient retention, and soil aggregation. These studies indicate that SOC accumulation depends on baseline fertility, soil texture, and climatic conditions.
Greenhouse Gas Emissions
Meta-analyses [2,3] examined RA’s effects on greenhouse gas fluxes. No-till systems and organic amendments reduced CO₂ emissions by 10–20%, while N₂O and CH₄ fluxes were more variable, influenced by fertilization strategy, crop type, and livestock integration. Regional and management differences highlight the need for site-specific strategies to balance carbon sequestration and emissions reductions.
Crop Productivity
Evidence shows that crop yields under RA vary by region, soil condition, and duration of practice adoption. Short-term declines (5–10%) are commonly reported during the initial transition period due to changes in soil nutrient availability and management adjustments. Over the long term, yields stabilize or improve, particularly under diversified rotations and cover cropping. Vendig et al. (2023) [4] noted that in 60% of global cases, yields surpassed conventional systems after the transition period, emphasizing the importance of adaptive management.
Biodiversity and Ecosystem Services
Studies indicate that RA supports both above- and below-ground biodiversity. Soil microbial diversity, pollinator populations, and predator insects often increase under cover cropping, reduced tillage, and agroforestry practices. The magnitude of these benefits is influenced by landscape complexity: farms in heterogeneous, habitat-rich landscapes consistently achieved higher biodiversity gains than isolated farms in simplified landscapes.
Socio-Economic Outcomes
Research from Europe, India, and other regions highlights that RA adoption can reduce input costs, increase net income, and enhance resilience to climate variability. Berthon et al. (2025) [5] reported 15% lower chemical input costs and 20% higher net income over five years for farmers practicing RA. Adoption barriers include knowledge gaps, high initial investment, and limited market access. Supportive policies, extension services, and financial incentives are critical for wider adoption.
Findings and Discussion
The synthesis of studies from 2020–2025 highlights that regenerative agriculture (RA) delivers multi-dimensional benefits, though outcomes are context-dependent.
Soil Health and Carbon Sequestration
RA practices enhance SOC and soil structure, with degraded or nutrient-poor soils showing the largest proportional gains. Long-term adoption of cover cropping, reduced tillage, and organic amendments stabilizes SOC and improves water infiltration, nutrient retention, and microbial diversity.
Climate Mitigation Potential
Cover cropping and organic amendments increase carbon sequestration; reduced tillage lowers CO₂ emissions. However, N₂O and CH₄ emissions can offset these benefits if nitrogen management or livestock integration is suboptimal. Integrated RA systems combining crop diversification, soil amendments, and optimized livestock management maximize net GHG mitigation. Regional differences are notable, with temperate regions achieving higher CO₂ sequestration rates, while CH₄ emissions are more significant in tropical livestock systems.
Crop Productivity and Yield Stability
Short-term yield penalties (5–10%) are common during the transition to RA. Adaptive management, diversified rotations, and extension support facilitate recovery and often improve long-term yields, especially in previously degraded or intensively managed soils.
Biodiversity and Ecosystem Function
RA enhances above- and below-ground biodiversity. Soil microbial biomass, pollinators, and predator populations increase under cover cropping, reduced tillage, and agroforestry. Benefits are amplified in heterogeneous, habitat-rich landscapes, highlighting the importance of landscape-scale planning.
Socio-Economic Implications
RA adoption reduces input costs, increases net income, and enhances resilience to climate variability. Adoption is constrained by knowledge gaps, investment requirements, and market access. Policies, incentives, and extension services are critical for scaling RA effectively, particularly for smallholders.
Trade-Offs and Integration
Trade-offs exist between short-term productivity and long-term sustainability, and between climate mitigation and other ecosystem services. Integrated, context-specific RA strategies are essential to optimize multi-dimensional outcomes.
Tables Summarizing Key Findings (2020–2025)
Study / Region |
RA Practices |
Duration |
SOC Change (%) |
Notes |
|
Patil et al., 2025 (India) |
Cover crops, FYM, biochar, green manure | 3–5 years | 10–25% |
Higher gains in degraded soils |
|
Kumar et al., 2024 (Global) |
Reduced tillage + organic amendments | 2–7 years | 8–20% |
SOC plateau observed after 5–7 years |
| Vendig et al., 2023 (USA & Europe) | Agroforestry + crop rotations | 4–6 years | 12–18% |
Highest gains with tree-crop integration |
Table 1: Impact of RA on Soil Organic Carbon (SOC)
Study / Region |
RA Practices |
GHG Type |
Change |
Notes |
|
Vejendla et al., 2025 (Global) |
No-till, cover crops, organic amendments |
CO₂ |
–10 to –20% |
Reduced carbon emissions |
|
Vejendla et al., 2025 |
Same | N₂O | +2–5% |
Dependent on fertilizer management |
| Garbisu et al., 2025 (Europe) | Cover crops + manure | CH₄ | +1–3% |
Livestock integration increased CH₄ |
Table 2: Effects of RA on Greenhouse Gas Emissions
Study / Region |
RA Practices |
Duration |
Yield Change (%) |
Notes |
|
Vendig et al., 2023 (Global) |
Cover crops + crop rotation | 2–5 years | Initial –5%, Long-term +10–15% | Yield penalty during transition |
| Kumar et al., 2024 | Reduced tillage + organic amendments | 3–6 years | +5–12% | Adaptive management improves outcomes |
| Patil et al., 2025 | Multi-species cover crops | 3–5 years | +8–18% |
Higher response in nutrient-poor soils |
Table 3: Impact on Crop Productivity
Study / Region |
RA Practices |
Metrics |
Change (%) |
Notes |
| Berthon et al., 2025 (Europe) | Cover crops + reduced tillage | Soil microbial biomass | +15–30% | Enhances nutrient cycling |
| Kumar et al., 2024 | Agroforestry + crop rotation | Pollinator abundance | +20–35% | Greater gains in heterogeneous landscapes |
| Vendig et al., 2023 | Integrated livestock + multi-species crops | Predator insects | +10–25% | Landscape context-dependent |
Table 4: Effects on Biodiversity and Ecosystem Services
Study / Region |
RA Practices |
Duration |
Economic Impact |
Notes |
| Berthon et al., 2025 (Europe) | Cover crops + reduced chemical inputs | 3–5 years | Input costs –15%, Net income +20% | Smallholders may face adoption barriers |
| Patil et al., 2025 | Biochar + FYM + crop rotation | 4–6 years | Cost savings 10–18% | Market access influenced adoption |
| Kumar et al., 2024 | Integrated livestock + agroforestry | 3–7 years | Net income +15% | Requires training and extension support |
Table 5: Socio-Economic Outcomes
Conclusion and Future Directions
Regenerative agriculture offers a viable approach for sustainable food production, improving soil health, climate mitigation, biodiversity, and socio-economic resilience. Evidence from 2020–2025 demonstrates consistent benefits across multiple dimensions. Outcomes are context-dependent, and adoption barriers—knowledge gaps, market access, and initial investment—must be addressed. Future research should focus on:
- Long-term, landscape-scale experiments
- Optimization of RA practice combinations for different regions
- Integration of socio-economic, environmental, and policy analyses
- Mechanisms for scaling adoption among smallholders and resource-poor farmers
Supportive policies, financial incentives, and training programs are essential to maximize global RA impacts.
References
- Patil, M., Peruma C., Choudhari P., Pasumarthi R., Sawargaonkar G., et al. (2025). Differential impacts of regenerative agriculture practices on soil organic carbon : a meta-analysis of studies from India. Scientific Reports 15(1). https://doi.org/10.1038/s41598-025-12149-6
- Vejendla, L, C., Janaki, P., Parameswari, E., Suganthy, M., Krishnan, R., Meena, S. (2025). Harnessing regenerative agriculture for climate change mitigation: a comprehensive review and meta-analysis. Discover Agriculture 3, 180. https://doi.org/10.1007/s44279-025-00266-9
- Garbisu, C., Patil, M., Vejendla, L. C., Vendig, M., Berthon, K., & Kumar, A. (2025). Generating regenerative agriculture. Front. Sustain. Food Syst, 9. https://doi.org/10.3389/fsufs.2025.1545811
- Datta, A., Wilke, B., Charles, C., Hasenick, M., Ulbrich, T., Singh, M., Sears, M., et al. (2023). Crop performance and profitability for the initial transition years of a regenerative cropping system in the Upper Midwest United States. Journal of Environmental Quality, 115. https://doi.org/10.1002/jeq2.70084
- Berthon, K., Patil, M., Vejendla, L. C., Garbisu, C., Vendig, M., & Kumar, A. (2025). Measuring the socio-economic and environmental outcomes of regenerative agriculture across spatio-temporal scales. Philos Trans R Soc Lond B Biol Sci, 380, 20240157. https://doi.org/10.1098/rstb.2024.0157
- Lu, Q., Tian, S., Wei, L. (2024). Digital mapping of soil pH and carbonates at the European scale using environmental variables and machine learning. Science of The Total Environment, 856, 159171. https://doi.org/10.1016/j.scitotenv.2022.159171
