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PERSPECTIVE article

Front. Sustain. Food Syst., 07 January 2026

Sec. Climate-Smart Food Systems

Volume 9 - 2025 | https://doi.org/10.3389/fsufs.2025.1696429

This article is part of the Research TopicBuilding Resilience Through Sustainability: Innovative Strategies In Agricultural SystemsView all 46 articles

Grassland 2.0—agroecosystems that care for us today while building capacity for future generations to do the same

Randall D. Jackson
Randall D. Jackson1*Claudio GrattonClaudio Gratton2
  • 1Department of Plant & Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI, United States
  • 2Department of Entomology, University of Wisconsin-Madison, Madison, WI, United States

The environmental and social problems that industrial agriculture creates and relies upon, but also suffers from and responds to, are massive compared to, for instance, conservation interventions on the margins of fields. We need to transform food production that create opportunities for current and future farmers to evolve and grow into farming that is genuinely regenerative, that is, that build soil and foster diversity of crops, landscapes, and people. Metrics of success for agriculture should indicate soil accretion, clean water, habitat for biodiversity, and an abundance and diversity of thriving and vital farmers and rural communities. Farming that is profitable to the farmer, regenerates their ability to produce for society, and adds value to society’s overall ecosystem, community, and individual health and wellbeing portfolio. Agrifood system transformation is not possible within the productivist paradigm that incentivizes farmers to produce as much as they possibly can from the land and livestock. We must reward farmers for providing diverse portfolios of outcomes that are profitable to the farm, while providing for us all today, and building capacity for future generations to do the same.

A one-sided argument because decades of evidence is so clear

As the soil, thousands of years old, is picked up by wind and carried into towns and across highways, it wreaks havoc on travelers and incurs untold costs for cleanup while undermining the health and wellbeing of millions. Journalists and commentators will call it a ‘haboob’ or a ‘dust storm’, but it is not simply dust. These airborne soil particles come from industrial farms where topsoil that developed for thousands of years in grasslands have been denuded of vegetation for much of the year (Coppess et al., 2025). Most consider these prairie grasslands a thing of the past, a romantic memory, because the tall grasses, showy flowers, and megafauna that once dominated have been nearly eliminated. But the meters-deep soils that accumulated over the millenia are as much the prairie – in terms of carbon, orders of magnitude more – as the vegetation and animals once manifest at its surface (Bockheim and Hartemink, 2017). Grassland soils are alive with biota whose habitat is a tangled mess of organic matter and mineral particles combining to make soil. This is the prairie, or what remains of it. The ~150 years when we have extracted as much of their energy and matter as possible with agriculture is a mere blip on the millennial timeline of the grassland biome.

Relatively short as this period has been, this agronomic intensification has been massively productive, while taking a heavy toll on other ecosystem services leading to deteriorating human wellbeing (Chaplin-Kramer et al., 2022; Lark et al., 2022; Gerken et al., 2024). For over a century, we managed the grasslands by draining, tilling, planting, and fertilizing mostly shallow-rooted, annual crop plants. Genetic modification of crops via plant breeding and direct genetic manipulation combined with agronomic management that manipulates light, water, nutrients and space has pushed yields higher and higher by selecting and creating plants that shunt more of the carbon they take from the atmosphere to aboveground parts, including the grains that are harvested, and opening up ecological niches that degrade ecosystem functions, especially soil, water, and nutrient retention (Glover et al., 2010; Crews, 2017). This approach combines low plant residue (carbon inputs) with accelerated microbial oxidation of soil organic matter (carbon outputs) making these agroecosystems net sources of carbon to the atmosphere (Dietz et al., 2024). Most of the grains from these crops are sold as commodities for feeding confined livestock or ethanol refineries for gas tanks (Iowa Corn Growers Association, 2021; Wisconsin Corn Growers Association, 2024). However, when these commodities are sold, the price they fetch often fails to exceed the cost of their production, and on average provides little in the way of profit without taxpayer subsidized insurance (USDA Economic Research Service, 2025) (Figure 1). Meanwhile, patented and genetically modified seed is expensive, as are fertilizers and pesticides required to realize yield potential, which generates massive revenue for corporations producing and selling these inputs as well as farming advice via consultation services. To enable and support this corporate profiteering and maintain political power, commodity crops are ‘de-risked’ by the federal government with insurance back-stops for farmers that are just enough to keep them growing the commoditzed products when losses are realized (Imhoff and Badaracco, 2019).

Figure 1
Bar chart comparing the annual per-acre net returns between corn and soybeans from 1997 through 2024. Corn returns, shown in black, have a 28-year mean of -$10.43 per ha per. Soybean returns, in hatched pattern, have a 28-year mean of $56.77 per ha per acre.

Figure 1. Average farm-level profit (production value minus total costs, does not include government payments or insurance) for US corn and soybeans for the period 1997 through 2024 (USDA Economic Research Service, 2025).

Farmers are trapped on the treadmill of production

So why do farmers continue to participate in this system? Many do not. The pressure to ‘get big or get out’ drives consolidation and vertical integration resulting in fewer farms, even while yields increase (Bruckner, 2016). Those who remain, carefully cultivate narratives about ‘What it means to be a good farmer’ (generally big investment and continual growth) coupled with romantic notions about ‘Who knows what’s best for the land?’ (farmers know best) (Leitschuh et al., 2022; Strauser et al., 2022) and ‘We feed the world!’ (Hall, 2024). This insular and circular story-telling and place-making (Strauser and Stewart, 2024) are key to maintaining an amazingly resilient,1 if poorly performing, system that ‘repairs itself’ irrespective of market conditions (Houser et al., 2020). Ironically, critical analysis shows that when we increase grain yields globally, human health and wellbeing metrics actually decline because increasing grain abundance reduces its value making it more prone to being discarded, used in processed foods with low nutrient density, or for non-food products such as ethanol (Benton and Bailey, 2019). Most hunger is driven by poverty and inequality (UN FAO, 2025), which are driven by policies and norms re-inforcing power and wealth (Konefal and Mascarenhas, 2005; Simmons, 2025).

Meanwhile, ‘getting big’ for the farmer typically entails increasing land and/or animals to increase volume, which tends to require loans to purchase more inputs and develop infrastructure like bigger tractors. When increased debt loads cause distress, the proposed solution often is more debt to increase yields. As Winsten (2024) indicates, this vicious cycle incentivizes a farm-level focus on cash-flow (volume to service debt) over profitability, which makes farming transitions to more profitable alternatives such as grass-based dairy seem unreasonable. Hence, farmers often find themselves trapped on the treadmill of production (Levins and Cochrane, 1996; Buttel, 2004).

Costs of agricultural production borne by society are real

Productive as it is, this resilient agricultural system comes with tremendous costs that are borne by society now and in the future (Sandhu et al., 2021). Dust storms and the havoc they sow are but one such cost. Traffic fatalities, respiratory irritation, and cleaning bills are the immediate and highly visible costs. Less visible are the long-term productivity declines as farmers wear away productive topsoil (Jacobs et al., 2022). Recent work estimated that over one-third of topsoil has been lost from upper Midwest farms in the past 150 years (Thaler et al., 2021), a combination of physical erosion to waterways and biogeochemical oxidation of soil organic carbon (SOC) to the atmosphere. Soil sediment carries nutrients that foul surface waters and carbon loss to the atmosphere exacerbates combustion of fossil fuels driving directional change in climate. Moreover, airborne particulate matter (PM2.5 or particles <2.5 um) driven by corn production in the US has been estimated to contribute to >4,000 premature human fatalities each year (Hill et al., 2019).

As topsoil erodes it takes with it fertility, nutrients critical to crop growth, driving farmers to add massive amounts of synthetic nutrients produced with massive amounts of fossil-fuel energy. These nutrients also are critical for biota in rivers, lakes, and oceans. These nutrients drive algal blooms that make people sick, kill wildlife, and impair use of water bodies. For instance, almost half of surface waters in Wisconsin are considered impaired or in need of complete restoration because of nutrient inputs mostly from agriculture (Carpenter et al., 2015; Glibert, 2020; Asplund et al., 2022). At the continental scale, a hypoxic zone the size of New Jersey forms in the Gulf of Mexico each year that throttles the shrimping and fishing industry (Porter et al., 2015; Rabalais and Turner, 2019). Nutrients also leach into groundwaters used for drinking. Nitrate in drinking water has been linked to cancer and premature deaths in Wisconsin with healthcare costs estimated between $23 M and $80 M per year (Mathewson et al., 2020). A recent study in southwest Wisconsin found the strongest predictor of drinking-water nitrate contamination within an acre of the monitored well was the proportion of that acre in row-crop agriculture. If ~75% of the acre was row-crops, the well had a ~ 40% chance of nitrate-N greater than the 10-ppm US EPA standard for drinking water (Stokdyk et al., 2022). Similar well-water results have been found for microbial contaminants from livestock manure in northeastern Wisconsin (Borchardt et al., 2021; Burch et al., 2021).

Meantime, the intense focus on maximizing yield of a few commodity crops pushes farmers, and typically requires them, to rely on pesticides to reduce populations of weeds, pathogens, and insects competing for the crop plants’ energy. Reliance on these chemicals is a massive selection pressure on crop pests that increases populations of human-selected variants of pests that do not respond to these chemicals (Neve et al., 2018; MacLaren et al., 2020; von Redwitz et al., 2025). These chemicals are now found in ~40% of Wisconsin’s groundwater wells (Romano et al., 2024). A recent study show a correlational relationship between county-level human cancer rates and pesticide use on farms in those counties that is similar to the signal observed when relating cigarette smoking to lung cancer (Gerken et al., 2024).

Reliance on these chemicals has been linked to biodiversity loss in the form of pollinator declines (Hemberger et al., 2021; Edwards et al., 2025). The enormous landscape modification of the North American prairie – mostly agricultural simplification – has driven a mind-boggling loss of ~700 million grassland birds, and 3 billion birds overall, since 1970 (Rosenberg et al., 2019). Recent grassland bird surveys estimate ~4% fewer individual grassland birds each year in the upper Midwest (Johnston et al., 2025).

As mentioned above, most of the harvest from the dominant grain systems goes to livestock in industrial feedlots and barns, where they are concentrated in ways that nutrients cannot be contained fueling downstream pollution (Glibert, 2020) that results in fish kills, invasion of aquatic weeds, and significant reduction in private property values (Raff and Meyer, 2021; Meyer and Raff, 2024). This bunching of animals in confined spaces drives massive reliance on anti-biotics (Anonymous, 2024; Acosta et al., 2025), which are used topically and added to feeds to improve protein yields, but drive anti-microbial resistance with devastating ramifications for human and ecosystem health (Alyokhin et al., 2025; Li et al., 2025). Meanwhile, farm industry consolidation eliminates individual farms and degrades farmer mental health (Kohlbeck et al., 2022) and perhaps rural community wellbeing, but the evidence here is mixed with some metrics improving and some declining with farm consolidation (Park and Deller, 2021).

Perennial grassland agriculture restores much of the ecosystem function of the original prairie

Our agrifood system is broken and cannot be fixed with incremental interventions on the margins. We need to transform food production with a combination of top-down and bottom-up forces that create opportunities for current and future farmers to evolve and grow into farming that is genuinely regenerative (Prokopy et al., 2020; Gratton et al., 2024). Genuinely regenerative agriculture actually builds soil, cleans water, enhances biodiversity, and supports thriving farmers and vital rural communities. It is not simply practices applied to extant farming systems to help reduce their harm. Farming that is profitable to the farmer, regenerates their ability to produce for society, and adds value to society’s overall ecosystem, community, and individual health and wellbeing portfolio (Anderson and Rivera-Ferre, 2021; Reynolds et al., 2021).

A dominant livestock production system based on perennial grassland offers a huge step toward this portfolio, it is Grassland 2.0 – a restoration of much, but not all, of the ecosystem function of the tallgrass prairie with agroecological principles (UN FAO, 2019; DeLonge et al., 2020; Franzluebbers et al., 2020). Managed well, rotational grazing of perennial grassland cleans waters (Vadas et al., 2015; Jackson, 2020; Campbell et al., 2022; Wepking et al., 2022; Young et al., 2023), reduces flooding (Jackson and Keeney, 2010; Basche and DeLonge, 2019), and enhances biodiversity (Temple et al., 1999; Lyons et al., 2000a; Lyons et al., 2000b; Weigel et al., 2000; Renfrew and Ribic, 2001) among many other environmental improvements.

The Grassland 2.0 vision is not a landscape devoid of annual row crops, but those crops must be grown on parts of the landscape where growing them is more benign ecologically and within a matrix of dominant perennial grassland and savanna agriculture. Technology allows this sort of precision agriculture where farms and watersheds can be managed as landscape mosaics, adjusting and adapting to tradeoffs, but looking for synergies in ecological outcomes (Hodbod et al. 2016, Tayyebi et al. 2016).

Well-managed grazing of animals on perennial grasslands restores many of the ecological functions of the prairie-savanna biome of North America because it restores much of this biome’s ecosystem structure: intact soil; dense, fibrous roots; dense plant canopy; and thriving soil biotic communities (Sala and Paruelo, 1997; van Eekeren et al., 2022). In addition to these field-level attributes, grassland agriculture can restore and enhance regional biodiversity by configuring and managing farms and landscapes for pollinators, birds, and plants (Temple et al., 1999; Lyons et al., 2000a; Lyons et al., 2000b; Weigel et al., 2000; Rook and Tallowin, 2003; Rook et al., 2004; Tallowin et al., 2005; Lyons et al., 2017). As well, landscapes dominated by well-managed grazed grasslands provide cultural services including view sheds, angling, birding, spirituality, education, and healing (Bengtsson et al., 2019; Sollenberger et al., 2019; Gosnell, 2021).

Meantime, the relatively low capital costs (Dartt et al., 1999; Kriegl and McNair, 2005), diverse entry points (e.g., poultry, pork, sheep, cattle), and relatively stable profitability (Paine, 2012; Wiedenfeld et al., 2022; Winsten, 2024) of grassland agriculture positions it well for expanding and diversifying farmer and rural community demographics and opportunities (e.g., agritourism, shorter supply chains, enterprise innovation, and new and beginning farmers).

Addressing greenhouse gas emissions—a commonly cited problem with managed grazing

While managed grazing of perennial grasslands can build, or at least maintain, soil carbon (Stanley et al., 2018; Becker et al., 2022; Rui et al., 2022; Dietz et al., 2024; Mehre et al., 2024), enteric methane emissions from livestock are a problem (Wattiaux et al., 2019; Soder and Brito, 2023). Jackson (2022a) addressed the issue for grassland beef production in previous work, eliciting an important critique about incorporating the entire cow-calf production system (Hayek, 2022), which was addressed in reply (Jackson, 2022b). Here, we compare how one hectare of land in southern Wisconsin supporting either grass-fed (~1.6 AU/ha) or confined (~2.4 AU/ha) dairy production generally affect greenhouse gas emissions. Estimates of appropriate stocking rates for each system come from past work that both include home-farm rearing of replacement heifers (Jackson, 2024). This is not a comprehensive life cycle analysis, but we looked to the literature for best estimates for southern Wisconsin. Also, we compare the two systems, not just farm-gate components of the systems. For instance, we include here the carbon cost of producing inorganic N fertilizer for a corn system that essentially requires its use.

While both systems are net carbon sources to the atmosphere, the grass-fed system emits > 3x less CO2eq than the confined dairy system on a per hectare basis (Figure 2). Using the US EPA greenhouse gas emissions calculator (US Environmental Protection Agency, 2021), two average sized (121 ha) southern Wisconsin farms in these alternative dairy production systems would contribute the equivalent of ~278 cars driven 12,000 miles per year for the grass-fed dairy and ~920 for the confinement dairy.

Figure 2
Comparison infographic of greenhouse gas emissions for two types of dairy production: well-managed grazed area-based pasture and corn-alfalfa-alfalfa-alfalfa. The top section shows 9,663 kg CO2e/ha/yr for pasture, while the bottom shows 32,459 kg CO2e/ha/yr for corn-alfalfa. Farm outcomes include milk yield and revenue; societal outcomes impact human health, biodiversity, flooding, surface water, groundwater, and soil health, with varying benefits or detriments depicted for each practice.

Figure 2. Estimated mean greenhouse gas emissions, mean production and profit (farm outcomes), and qualitative societal outcomes from one hectare of land in southern Wisconsin supporting either grass-fed or confinement dairy (West and Marland, 2002; Grant et al., 2015; Oates et al., 2015; Fargione et al., 2018; Wecking et al., 2020; Dietz et al., 2024; Jackson, 2024; Winsten, 2024; Dida et al., 2025).

While the net greenhouse gas emissions from grazed dairy agroecosystems are troubling, they dramatically reduce the carbon footprint of a dairy enterprise in absolute terms. Recent work illustrates how pastures can be integrated into a dairy farm enterprise carbon-accounting framework that considers non-crop habitat (e.g., forests and wetlands) to help achieve net zero emissions (Wiesner et al., 2022). Meanwhile, similar approaches to agroecological landscape composition have been developed for the entire state of Wisconsin showing the critical importance of significant perennial grassland agriculture as part of the landscape mosaic (Young et al. 2025).

In addition to these environmental benefits, recent work has demonstrated the superior profitability of grass-based dairy production in Wisconsin (Winsten, 2024) (see ‘Farm outcomes’ in Figure 2), which has been shown in past work too (Dartt et al., 1999; Rojas-Downing et al., 2017; Wiedenfeld et al., 2022). But, grass-fed approaches generally slow livestock weight gain and reduce milk yields on a per-cow basis (Jackson, 2022a; Jackson, 2024), even while improving profitability, which undermines them when the reward system for farming, and the dominant narrative about what it means to be a ‘good farmer’, is maximizing production, not profit (Zilverberg et al., 2014).

Sustainability transitions to Grassland 2.0

Agri-food system transformation is not possible within the productivist paradigm that incentivizes farmers to produce as much as they possibly can from the land and livestock (Jackson et al., 2018). We must reward farmers for providing diverse portfolios of outcomes that are profitable to the farm, while providing for us all today, and building capacity for future generations to do the same (Streit Krug and Tesdell, 2020; Reynolds et al., 2021). This cannot happen without massive collective action by consumers demanding products from genuinely regenerative agriculture (Provenza et al., 2021) and it cannot happen without courageous policies and programs run by local, state, and federal governments that reward genuinely regenerative farming (Rissman et al., 2023) rather than attempting to patch leaky and failing agroecosystems with so-called ‘regenerative practices’ (Prokopy et al., 2020; Day and Cramer, 2021; Secchi, 2024).

We need social innovations that address the governance of the food system to overcome the social-technical-political impediments to transformative change (Gratton et al., 2024). We believe these obstacles can be relieved by a novel social innovation process of place-making we call Collaborative Landscape Design (CLD) (Strauser et al., 2025), which brings communities together in a deliberative, intentional, and iterative framework to interrogate the question: What do we, as individuals and as a community, want and need from our agricultural system? Perspectives are solicited and catalogued, then community partners come together to explore shared goals, co-create and evaluate visions for the socioecological landscape using social science theory, field level data, and models that are implemented and expanded through a growing corps of professional technical service providers and researchers to help communities chart and navigate pathways toward Grassland 2.0.

Place-making is constantly occurring, intentional or otherwise, in many forms and at different levels of social and geographical organization: individuals cultivate identities, communities and organizations shape narratives, policies and markets signal values and incentives in larger societal contexts (Strauser et al., 2022). For decades most research, extension, and education has focused on convincing and incentivizing individuals to adopt conservation agriculture, which has not produced the transformative change necessary to meet today’s ecological, economic, and social challenges (Reimer and Prokopy, 2014; Prokopy et al., 2020). At broader scales–what we call the meta-context (others might call it The System) – change is impeded by socio-technological lock-in (Geels, 2002, 2019) of an agricultural system that maximizes extraction and profit for corporations cultivated by narratives about what it means to be a ‘good farmer’, namely, squeezing as much as possible from land and livestock (Roesch-McNally et al., 2017; Houser et al., 2020) with devastating consequences for ecosystems, communities, and individual health and wellbeing.

We hypothesize that situating and supporting the relational place-making process of CLD at regional-community levels has the potential to spur collective action that attracts individuals to action in ways that actors in the meta-context cannot ignore (Green et al., 2024), eventually ‘unlocking’ of the potential of regionally appropriate, climate-smart, regenerative agriculture. Our Grassland 2.0 project is documenting evidence for this traction in many ways, but the most tangible indicator is the emergence of community-driven agroecological transformation plans focused on long-term visions for their agroecological futures, with emerging pathways toward realizing these visions.

It is evident that to maximize the ecological and social benefits of grassland agriculture, it is necessary to engage in processes that “scale up” its adoption to become the fundamental basis of our milk and meat production systems (Mier y Terán Giménez Cacho et al. 2018; Ewert et al. 2023). Widespread adoption of Grassland 2.0 is important for achieving the outcomes needed to meet national goals for greenhouse gas emission reductions from agriculture. But merely creating technical or agronomic innovations is not sufficient to ensure their adoption or widespread use (Loorbach et al., 2017). Novel social innovations allow us to experiment, discover, engage, and educate in ways that grow grassland agriculture broadly (Gratton et al., 2024).

In many cases, producing healthy, nutritious foods will be more costly to farmers, processors, and retailers, who will pass those costs on to consumers. Therefore, policies must be shaped and implemented and fine-tuned over time that transfer dollars now ear-marked for treating symptoms of the agrifood system (e.g., human health and environmental clean-up) toward subsidizing costs of healthier products for those with less purchasing power to drive and support regenerative grassland agriculture. None of this can happen until we re-center our societal narrative about what it means to be successful in this world. We must center caring for each other by caring for the farmers who provide for us, the communities that support us, and the environment that sustains our health and wellbeing (Streit Krug, 2020). Grassland 2.0 means managing this grassland biome we are part of to build soil, retain nutrients and water, enhance biodiversity, and help stabilize the climate while providing for people so that all can thrive now and in the future.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

RJ: Conceptualization, Funding acquisition. Writing – original draft. CG: Conceptualization, Funding acquisition, Writing – review & editing.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This work supported by the Sustainable Agriculture Systems Coordinated Agricultural Program grant no. 2019-68012-29852 from the USDA National Institute of Food and Agriculture and generous gifts from Kikkoman Foods, Inc. and an anonymous donor.

Acknowledgments

This manuscript was improved by comments from two reviewers.

Conflict of interest

The authors declare that this study received funding from Kikkoman Foods, Inc. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.

Generative AI statement

The author(s) declared that Generative AI was not used in the creation of this manuscript.

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Footnotes

1. ^Resilience in the systems sense that it rebounds to a relatively stable equilibrium after perturbations, not the more recently popular sense of resilience meaning a good or fair system, i.e., poorly performing systems can be resilient.

References

Acosta, A., Tirkaso, W., Nicolli, F., Van Boeckel, T. P., Cinardi, G., and Song, J. (2025). The future of antibiotic use in livestock. Nat. Commun. 16:2469. doi: 10.1038/s41467-025-56825-7,

PubMed Abstract | Crossref Full Text | Google Scholar

Alyokhin, A. V., Rosenthal, B. M., Weber, D. C., and Baker, M. B. (2025). Towards a unified approach in managing resistance to vaccines, drugs, and pesticides. Biol. Rev. 100, 1067–1082. doi: 10.1111/brv.13174,

PubMed Abstract | Crossref Full Text | Google Scholar

Anderson, M. D., and Rivera-Ferre, M. (2021). Food system narratives to end hunger: extractive versus regenerative. Curr. Opin. Environ. Sustain. 49, 18–25. doi: 10.1016/j.cosust.2020.12.002

Crossref Full Text | Google Scholar

Anonymous, (2024). Antimicrobial resistance: a silent pandemic. Nat. Commun. 15:6198. doi: 10.1038/s41467-024-50457-z,

PubMed Abstract | Crossref Full Text | Google Scholar

Asplund, T., Amrhein, J., Austin, B., Axness, K., and Beranek, A. (2022). Wisconsin water quality report to Congress Wisconsin Department of Natural Resources. Available online at: https://dnr.wisconsin.gov/topic/SurfaceWater/Congress.html (accessed June 23, 2022).

Google Scholar

Basche, A. D., and DeLonge, M. S. (2019). Comparing infiltration rates in soils managed with conventional and alternative farming methods: a meta-analysis. PLoS One 14:e0215702. doi: 10.1371/journal.pone.0215702,

PubMed Abstract | Crossref Full Text | Google Scholar

Becker, A., Ruark, M. D., Horowitz, L., and Jackson, R. D. (2022). Surface-soil carbon stocks greater under well-managed grazed pasture than row crops. Soil Sci. Soc. Am. J. 86, 758–768. doi: 10.1002/saj2.20388

Crossref Full Text | Google Scholar

Bengtsson, J., Bullock, J. M., Egoh, B., Everson, C., Everson, T., O’Connor, T., et al. (2019). Grasslands—more important for ecosystem services than you might think. Ecosphere 10:e02582. doi: 10.1002/ecs2.2582

Crossref Full Text | Google Scholar

Benton, T. G., and Bailey, R. (2019). The paradox of productivity: agricultural productivity promotes food system inefficiency. Global Sustainability 2, 1–8. doi: 10.1017/sus.2019.3,

PubMed Abstract | Crossref Full Text | Google Scholar

Bockheim, J. G., and Hartemink, A. E. (2017). The soils of Wisconsin. Cham: Springer International Publishing.

Google Scholar

Borchardt, M. A., Stokdyk, J. P., Kieke, B. A. Jr., Muldoon, M. A., Spencer, S. K., Firnstahl, A. D., et al. (2021). Sources and risk factors for nitrate and microbial contamination of private household Wells in the fractured dolomite aquifer of northeastern Wisconsin. Environ. Health Perspect. 129:67004. doi: 10.1289/EHP7813,

PubMed Abstract | Crossref Full Text | Google Scholar

Bruckner, T. (2016). Agricultural subsidies and farm consolidation. Am. J. Econ. Sociol. 75, 623–648. doi: 10.1111/ajes.12151

Crossref Full Text | Google Scholar

Burch, T. R., Stokdyk, J. P., Spencer, S. K., Kieke, B. A. Jr., Firnstahl, A. D., Muldoon, M. A., et al. (2021). Quantitative microbial risk assessment for contaminated private wells in the fractured dolomite aquifer of Kewaunee County, Wisconsin. Environ. Health Perspect. 129:67003. doi: 10.1289/EHP7815,

PubMed Abstract | Crossref Full Text | Google Scholar

Buttel, F. H. (2004). The treadmill of production: an appreciation, assessment, and agenda for research. Organ. Environ. 17, 323–336. doi: 10.1177/1086026604267938

Crossref Full Text | Google Scholar

Campbell, T. A., Booth, E. G., Gratton, C., Jackson, R. D., and Kucharik, C. J. (2022). Agricultural landscape transformation needed to meet water quality goals in the Yahara River watershed of southern Wisconsin. Ecosystems 25, 507–525. doi: 10.1007/s10021-021-00668-y

Crossref Full Text | Google Scholar

Carpenter, S. R., Booth, E. G., Kucharik, C. J., and Lathrop, R. C. (2015). Extreme daily loads: role in annual phosphorus input to a north temperate Lake. Aquat. Sci. 77, 71–79. doi: 10.1007/s00027-014-0364-5

Crossref Full Text | Google Scholar

Chaplin-Kramer, R., Chappell, M. J., and Bennett, E. M. (2022). Un-yielding: evidence for the agriculture transformation we need. Ann. N. Y. Acad. Sci. 1520, –104. doi: 10.1111/nyas.14950

Crossref Full Text | Google Scholar

Coppess, J., Das, A., Xu, Y., Li, Q., Shuai, S., Wang, S., et al. (2025). Research & conservation: reviewing the Illinois dust storm of 2023. farmdoc daily 15:67.

Google Scholar

Crews, T. E. (2017). Closing the gap between grasslands and grain agriculture. Kans. J. Law Public Policy 26, 274–296.

Google Scholar

Dartt, B. A., Lloyd, J. W., Radke, B. R., Black, J. R., and Kaneene, J. B. (1999). A comparison of profitability and economic efficiencies between management-intensive grazing and conventionally managed dairies in Michigan. J. Dairy Sci. 82, 2412–2420. doi: 10.3168/jds.S0022-0302(99)75492-5,

PubMed Abstract | Crossref Full Text | Google Scholar

Day, C., and Cramer, S. (2021). Transforming to a regenerative U.S. agriculture: the role of policy, process, and education. Sustain. Sci. 17, 585–601. doi: 10.1007/s11625-021-01041-7

Crossref Full Text | Google Scholar

DeLonge, M., Robbins, T., Basche, A., and Haynes-Mawlow, L. (2020). The state of sustainable agriculture and agroecology research and impacts: a survey of U.S. scientists. J. Agric. Food Syst. Community Dev. 22, 1–26. doi: 10.5304/jafscd.2020.092.009

Crossref Full Text | Google Scholar

Dida, M. F., Garcia, S. C., and Gonzalez, L. A. (2025). Greenhouse gas emissions of confinement- and pasture-based dairy farms: implications for mitigation. J. Dairy Sci. 108, 11026–11040. doi: 10.3168/jds.2025-26566,

PubMed Abstract | Crossref Full Text | Google Scholar

Dietz, C. L., Ruark, M. D., Jackson, R. D., and Sanford, G. R. (2024). Soil carbon maintained by perennial grasslands but lost in field crop systems over 30 years in a temperate Mollisol according to longitudinal, compaction-corrected, full-soil profile analysis. Commun. Earth Environ. 5:360. doi: 10.1038/s43247-024-01500-w

Crossref Full Text | Google Scholar

Edwards, C. B., Zipkin, E. F., Henry, E. H., Haddad, N. M., Forister, M. L., Burls, K. J., et al. (2025). Rapid butterfly declines across the United States during the 21st century. Science 387, 1090–1094. doi: 10.1126/science.adp4671,

PubMed Abstract | Crossref Full Text | Google Scholar

Ewert, F., Baatz, R., and Finger, R. (2023). Agroecology for a Sustainable Agriculture and Food System: From Local Solutions to Large-Scale Adoption. Annual Review of Resource Economics. 15, 351–381. doi: 10.1146/annurev-resource-102422-090105,

PubMed Abstract | Crossref Full Text | Google Scholar

Fargione, J. E., Bassett, S., Boucher, T., Bridgham, S. D., Conant, R. T., Cook-Patton, S. C., et al. (2018). Natural climate solutions for the United States. Sci. Adv. 4:eaat1869. doi: 10.1126/sciadv.aat1869,

PubMed Abstract | Crossref Full Text | Google Scholar

Franzluebbers, A. J., Wendroth, O., Creamer, N. G., and Feng, G. G. (2020). Focusing the future of farming on agroecology. Agric. Environ. Lett. 5:e20034. doi: 10.1002/ael2.20034

Crossref Full Text | Google Scholar

Geels, F. W. (2002). Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study. Res. Policy. 31, 1257–1274. doi: 10.1016/S0048-7333(02)00062-8

Crossref Full Text | Google Scholar

Geels, F. W. (2019). Socio-technical transitions to sustainability: a review of criticisms and elaborations of the multi-level perspective. Curr. Opin. Environ. Sustain. 39, 187–201. doi: 10.1016/j.cosust.2019.06.009

Crossref Full Text | Google Scholar

Gerken, J., Vincent, G. T., Zapata, D., Barron, I. G., and Zapata, I. (2024). Comprehensive assessment of pesticide use patterns and increased cancer risk. Front. Cancer Control Soc. 2:1368086. doi: 10.3389/fcacs.2024.1368086

Crossref Full Text | Google Scholar

Glibert, P. M. (2020). From hogs to HABs: impacts of industrial farming in the US on nitrogen and phosphorus and greenhouse gas pollution. Biogeochemistry 150, 139–180. doi: 10.1007/s10533-020-00691-6,

PubMed Abstract | Crossref Full Text | Google Scholar

Glover, J. D., Culman, S. W., DuPont, S. T., Broussard, W., Young, L., Mangan, M. E., et al. (2010). Harvested perennial grasslands provide ecological benchmarks for agricultural sustainability. Agric. Ecosyst. Environ. 137, 3–12. doi: 10.1016/j.agee.2009.11.001

Crossref Full Text | Google Scholar

Gosnell, H. (2021). Regenerating soil, regenerating soul: an integral approach to understanding agricultural transformation. Sustain. Sci. 17, 603–620. doi: 10.1007/s11625-021-00993-0

Crossref Full Text | Google Scholar

Grant, R. H., Boehm, M. T., and Bogan, B. W. (2015). Methane and carbon dioxide emissions from manure storage facilities at two free-stall dairies. Agric. For. Meteorol. 213, 102–113. doi: 10.1016/j.agrformet.2015.06.008

Crossref Full Text | Google Scholar

Gratton, C., Strauser, J., Jordan, N., and Jackson, R. D. (2024). Agroecological innovation to scale livestock agriculture for positive economic, environmental, and social outcomes. Environ. Res. Food Syst. 1:013001. doi: 10.1088/2976-601X/ad382f

Crossref Full Text | Google Scholar

Green, F., Bois,, von Kursk, G., Muttitt, O., and Pye, S. (2024). No new fossil fuel projects: the norm we need. Science 384, 954–957. doi: 10.1126/science.adn6533

Crossref Full Text | Google Scholar

Hall, A. L. (2024). ‘Cropaganda’: mythology of Corn Belt agriculture. J. Rural. Stud. 108:103260. doi: 10.1016/j.jrurstud.2024.103260

Crossref Full Text | Google Scholar

Hayek, M. (2022). Missing the grassland for the cows: scaling grass-finished beef production entails tradeoffs—comment on “grazed perennial grasslands can match current beef production while contributing to climate mitigation and adaptation”. Agric. Environ. Lett. 7:20073. doi: 10.1002/ael2.20073

Crossref Full Text | Google Scholar

Hodbod, J., Barreteau, O., Allen, C., and Magda, D. (2016). Managing adaptively for multifunctionality in agricultural systems. J Environ Manage. 183, 379–388. doi: 10.1016/j.jenvman.2016.05.064

Crossref Full Text | Google Scholar

Hemberger, J., Crossley, M. S., and Gratton, C. (2021). Historical decrease in agricultural landscape diversity is associated with shifts in bumble bee species occurrence. Ecol. Lett. 24, 1800–1813. doi: 10.1111/ele.13786,

PubMed Abstract | Crossref Full Text | Google Scholar

Hill, J., Goodkind, A., Tessum, C., Thakrar, S., Tilman, D., Polasky, S., et al. (2019). Air-quality-related health damages of maize. Nat. Sustain. 2, 397–403. doi: 10.1038/s41893-019-0261-y

Crossref Full Text | Google Scholar

Houser, M., Gunderson, R., Stuart, D., and Denny, R. C. H. (2020). How farmers “repair” the industrial agricultural system. Agric. Hum. Values 37, 983–997. doi: 10.1007/s10460-020-10030-y

Crossref Full Text | Google Scholar

Imhoff, D., and Badaracco, C. (2019). The farm bill - a citizen’s guide. Washington, DC: Island Press.

Google Scholar

Iowa Corn Growers Association. (2021). Corn: It’s feed. It’s fuel. It’s food. It’s everything!. Available online at: https://www.iowacorn.org/corn-uses/ (accessed August 12, 2021).

Google Scholar

Jackson, R. D. (2020). Soil nitrate leaching under grazed cool-season grass pastures of the north central US. J. Sci. Food Agric. 100, 5307–5312. doi: 10.1002/jsfa.10571,

PubMed Abstract | Crossref Full Text | Google Scholar

Jackson, R. D. (2022a). Grazed perennial grasslands can match current beef production while contributing to climate mitigation and adaptation. Agric. Environ. Letters 7:e20059. doi: 10.1002/ael2.20059,

PubMed Abstract | Crossref Full Text | Google Scholar

Jackson, R. D. (2022b). Reply to “Missing the grassland for the cows: scaling grass-finished beef production entails tradeoffs—comment on ‘grazed perennial grasslands can match current beef production while contributing to climate mitigation and adaptation’ ”. Agric. Environ. Letters 7:20082. doi: 10.1002/ael2.20082,

PubMed Abstract | Crossref Full Text | Google Scholar

Jackson, R. D. (2024). America’s Dairy Grassland – Wisconsin milk production that regenerates people and land. Agroecol. Sustain. Food Syst. 48, 898–915. doi: 10.1080/21683565.2024.2344027

Crossref Full Text | Google Scholar

Jackson, L., and Keeney, D. (2010). “Perennial farming systems that resist flooding” in A watershed year: Anatomy of the Iowa floods of 2008. ed. C. F. Mutel (Iowa City: University of Iowa Press).

Google Scholar

Jackson, W., Krug, A. S., Vitek, B., Jensen, R., and Stoumann, L. (2018). Transforming human life on our home planet, perennially. Ecol. Citizen 2, 43–46.

Google Scholar

Jacobs, A. A., Evans, R. S., Allison, J. K., Garner, E. R., Kingery, W. L., and McCulley, R. L. (2022). Cover crops and no-tillage reduce crop production costs and soil loss, compensating for lack of short-term soil quality improvement in a maize and soybean production system. Soil Tillage Res. 218:105310. doi: 10.1016/j.still.2021.105310

Crossref Full Text | Google Scholar

Johnston, A., Rodewald, A. D., Strimas-Mackey, M., Auer, T., Hochachk, W. M., and Stillman, A. N. (2025). North American bird declines are greatest where species are most abundant. 388:532–537. doi: 10.1126/science.adn4381

Crossref Full Text | Google Scholar

Kohlbeck, S., Schramm, A., deRoon-Cassini, T., Hargarten, S., and Quinn, K. (2022). Farmer suicide in Wisconsin: a qualitative analysis. J. Rural. Health 38, 546–553. doi: 10.1111/jrh.12622,

PubMed Abstract | Crossref Full Text | Google Scholar

Konefal, J., and Mascarenhas, M. (2005). The shifting political economy of the global agrifood system: consumption and the treadmill of production. Berkeley J. Sociol. 49, 76–96.

Google Scholar

Kriegl, T., and McNair, R. (2005). Pastures of plenty: Financial performance of Wisconsin grazing dairy farms. Center for Integrated Agricultural Systems, Center for Dairy Profitability, and Program on Agricultural Technology Studies. Madison, WI: University of Wisconsin-Madison.

Google Scholar

Lark, T. J., Hendricks, N. P., Smith, A., Pates, N., Spawn-Lee, S. A., Bougie, M., et al. (2022). Environmental outcomes of the US renewable fuel standard. Proc. Natl. Acad. Sci. USA 119:e2101084119. doi: 10.1073/pnas.2101084119,

PubMed Abstract | Crossref Full Text | Google Scholar

Leitschuh, B., Stewart, W. P., and van Riper, C. J. (2022). Place-making in the Corn Belt: the productivist landscapes of the “good farmer”. J. Rural. Stud. 92, 415–424. doi: 10.1016/j.jrurstud.2022.05.002

Crossref Full Text | Google Scholar

Levins, R. A., and Cochrane, W. W. (1996). The treadmill revisited. Land Econ. 72, 550–553. doi: 10.2307/3146915

Crossref Full Text | Google Scholar

Li, B., Jiang, L., Johnson, T., Wang, G., Sun, W., Wei, G., et al. (2025). Global health risks lurking in livestock resistome. Sci. Adv. 11:eadt8073. doi: 10.1126/sciadv.adt8073,

PubMed Abstract | Crossref Full Text | Google Scholar

Loorbach, D., Frantzeskaki, N., and Avelino, F. (2017). Sustainability transitions research: transforming science and practice for societal change. Annu. Rev. Environ. Resour. 42, 599–626. doi: 10.1146/annurev-environ-102014-021340

Crossref Full Text | Google Scholar

Lyons, A., Ashton, P. A., Powell, I., and Oxbrough, A. (2017). Impacts of contrasting conservation grazing management on plants and carabid beetles in upland calcareous grasslands. Agric. Ecosyst. Environ. 244, 22–31. doi: 10.1016/j.agee.2017.04.020

Crossref Full Text | Google Scholar

Lyons, J., Trimble, W., and Paine, L. (2000a). Grass versus trees: managing riparian areas to benefit streams of Central North America. J. Am. Water Resour. Assoc. 36, 919–930.

Google Scholar

Lyons, J., Weigel, B. M., Paine, L. K., and Undersander, D. J. (2000b). Influence of intensive rotational grazing on bank erosion, fish habitat quality, and fish communities in southwestern Wisconsin trout streams. J. Soil Water Conserv. 55, 271–276. doi: 10.1080/00224561.2000.12457321

Crossref Full Text | Google Scholar

MacLaren, C., Storkey, J., Menegat, A., Metcalfe, H., and Dehnen-Schmutz, K. (2020). An ecological future for weed science to sustain crop production and the environment. A review. Agron. Sustain. Dev. 40:24. doi: 10.1007/s13593-020-00631-6

Crossref Full Text | Google Scholar

Mathewson, P. D., Evans, S., Byrnes, T., Joos, A., and Naidenko, O. V. (2020). Health and economic impact of nitrate pollution in drinking water: a Wisconsin case study. Environ. Monit. Assess. 192:724. doi: 10.1007/s10661-020-08652-0,

PubMed Abstract | Crossref Full Text | Google Scholar

Mehre, J., Schneider, K., Jayasundara, S., Gillespie, A., and Wagner-Riddle, C. (2024). Adaptive multi-paddock grazing increases soil carbon stocks and decreases the carbon footprint of beef production in Ontario, Canada. J. Environ. Manag. 371:123255. doi: 10.1016/j.jenvman.2024.123255,

PubMed Abstract | Crossref Full Text | Google Scholar

Mier y Terán Giménez Cacho, M., Giraldo, O. F., Aldasoro, M., Morales, H., Ferguson, B. G., Rosset, P., et al. (2018). Bringing agroecology to scale: key drivers and emblematic cases.. Agroecology and Sustainable Food Systems 42, 637–665. doi: 10.1080/21683565.2018.1443313,

PubMed Abstract | Crossref Full Text | Google Scholar

Meyer, A., and Raff, Z. (2024). The effect of water pollution regulation on prices: evidence from Wisconsin's phosphorus rule and sewer utility bills. J. Environ. Econ. Manag. 124:102914. doi: 10.1016/j.jeem.2023.102914

Crossref Full Text | Google Scholar

Neve, P., Barney, J. N., Buckley, Y., Cousens, R. D., Graham, S., Jordan, N. R., et al. (2018). Reviewing research priorities in weed ecology, evolution and management: a horizon scan. Weed Res. 58, 250–258. doi: 10.1111/wre.12304,

PubMed Abstract | Crossref Full Text | Google Scholar

Oates, L. G., Duncan, D. S., Gelfand, I., Millar, N., Robertson, G. P., and Jackson, R. D. (2015). Nitrous oxide emissions during establishment of eight alternative cellulosic bioenergy cropping systems in the north Central United States. GCB Bioenergy 8, 539–549. doi: 10.1111/gcbb.12268

Crossref Full Text | Google Scholar

Paine, L. K. (2012). Growing the Pasture-Grazed Dairy Sector in Wisconsin Wisconsin Department of Agriculture, Trade & Consumer Protection. Available online at: https://foodsci.wisc.edu/pasture_grazed_dairy/

Google Scholar

Park, S., and Deller, S. (2021). Effect of farm structure on rural community well-being. J. Rural. Stud. 87, 300–313. doi: 10.1016/j.jrurstud.2021.09.014

Crossref Full Text | Google Scholar

Porter, P. A., Mitchell, R. B., and Moore, K. J. (2015). Reducing hypoxia in the Gulf of Mexico: reimagining a more resilient agricultural landscape in the Mississippi River watershed. J. Soil Water Conserv. 70, 63A–68A. doi: 10.2489/jswc.70.3.63A

Crossref Full Text | Google Scholar

Prokopy, L. S., Gramig, B. M., Bower, A., Church, S. P., Ellison, B., Gassman, P. W., et al. (2020). The urgency of transforming the midwestern U.S. landscape into more than corn and soybean. Agric. Hum. Values 37, 537–539. doi: 10.1007/s10460-020-10077-x,

PubMed Abstract | Crossref Full Text | Google Scholar

Provenza, F. D., Anderson, C., and Gregorini, P. (2021). We are the earth and the earth is us: how palates link foodscapes, landscapes, heartscapes, and thoughtscapes. Front. Sustain. Food Syst. 5:547822. doi: 10.3389/fsufs.2021.547822

Crossref Full Text | Google Scholar

Rabalais, N. N., and Turner, R. E. (2019). Gulf of Mexico hypoxia: past, present, and future. Limnol. Oceanogr. Bull. 28, 117–124. doi: 10.1002/lob.10351

Crossref Full Text | Google Scholar

Raff, Z., and Meyer, A. (2021). CAFOs and surface water quality: evidence from Wisconsin. Am. J. Agric. Econ. 104, 161–189. doi: 10.1111/ajae.12222

Crossref Full Text | Google Scholar

Reimer, A. P., and Prokopy, L. S. (2014). Farmer participation in U.S. farm bill conservation programs. Environ. Manag. 53, 318–332. doi: 10.1007/s00267-013-0184-8,

PubMed Abstract | Crossref Full Text | Google Scholar

Renfrew, R. B., and Ribic, C. A. (2001). Grassland birds associated with agricultural riparian practices in southwestern Wisconsin. J. Range Manag. 54, 546–552. doi: 10.2307/4003583

Crossref Full Text | Google Scholar

Reynolds, J., Bell, M. M., Grace, J., Gratton, C., Jackson, R. D., Keeley, K. O., et al. (2021). An agroecological vision of perennial agriculture. Agroecol. Sustain. Food Syst. 45, 1470–1479. doi: 10.1080/21683565.2021.1918313

Crossref Full Text | Google Scholar

Rissman, A. R., Fochesatto, A., Lowe, E. B., Lu, Y., Hirsch, R. M., and Jackson, R. D. (2023). Grassland and managed grazing policy review. Front. Sustain. Food Syst. 7:1010441. doi: 10.3389/fsufs.2023.1010441

Crossref Full Text | Google Scholar

Roesch-McNally, G. E., Basche, A. D., Arbuckle, J. G., Tyndall, J. C., Miguez, F. E., Bowman, T., et al. (2017). The trouble with cover crops: farmers’ experiences with overcoming barriers to adoption. Renew. Agric. Food Syst. 33, 322–333. doi: 10.1017/S1742170517000096

Crossref Full Text | Google Scholar

Rojas-Downing, M. M., Harrigan, T., and Nejadhashemi, A. P. (2017). Resource use and economic impacts in the transition from small confinement to pasture-based dairies. Agric. Syst. 153, 157–171. doi: 10.1016/j.agsy.2017.01.013

Crossref Full Text | Google Scholar

Romano, C., Cook, C., Potrykus, K., McColloch, M., Berzinski, R., and Personette, R. (2024). Statewide Groundwater Survey Report - Agricultural Chemicals in Wisconsin Groundwater. Madison, WI: State of Wisconsin Department of Agriculture, Trade & Consumer Protection.

Google Scholar

Rook, A. J., Dumont, B., Isselstein, J., Osoro, K., WallisDeVries, M. F., Parente, G., et al. (2004). Matching type of livestock to desired biodiversity outcomes in pastures - a review. Biol. Conserv. 119, 137–150. doi: 10.1016/j.biocon.2003.11.010

Crossref Full Text | Google Scholar

Rook, A. J., and Tallowin, J. R. B. (2003). Grazing and pasture management for biodiversity benefit. Anim. Res. 52, 181–189. doi: 10.1051/animres:2003014

Crossref Full Text | Google Scholar

Rosenberg, K. V., Dokter, A. M., Blancher, P. J., Sauer, J. R., Smith, A. C., Smith, P. A., et al. (2019). Decline of the north American avifauna. Science 366, 120–124. doi: 10.1126/science.aaw1313,

PubMed Abstract | Crossref Full Text | Google Scholar

Rui, Y., Jackson, R. D., Cotrufo, M. F., Sanford, G. R., Spiesman, B. J., Deiss, L., et al. (2022). More persistent soil C under well-managed grazed pasture than annual grain and harvested forage cropping systems in Mollisols of the north central US. Proc. Natl. Acad. Sci. USA 119:e2118931119. doi: 10.1073/pnas.2118931119,

PubMed Abstract | Crossref Full Text | Google Scholar

Sala, O. E., and Paruelo, J. M. (1997). “Ecosystem services in grasslands” in Nature's services: Societal dependence on natural ecosystems. ed. G. C. Daily (Washington, D.C.: Island Press), 237–252.

Google Scholar

Sandhu, H., Jones, A., and Holden, P. (2021). True cost accounting of food using farm level metrics: a new framework. Sustainability 13:5710. doi: 10.3390/su13105710

Crossref Full Text | Google Scholar

Secchi, S. (2024). The role of conservation in United States' agricultural policy from the dust bowl to today: a critical assessment. Ambio 53, 421–434. doi: 10.1007/s13280-023-01949-7,

PubMed Abstract | Crossref Full Text | Google Scholar

Simmons, D. (2025). On hunger - violence and craving in America, from starvation to ozempic. Oakland, CA: UC Press.

Google Scholar

Soder, K. J., and Brito, A. F. (2023). Enteric methane emissions in grazing dairy systems. JDS Commun 4, 324–328. doi: 10.3168/jdsc.2022-0297,

PubMed Abstract | Crossref Full Text | Google Scholar

Sollenberger, L. E., Kohmann, M. M., Dubeux, J. C. B., and Silveira, M. L. (2019). Grassland management affects delivery of regulating and supporting ecosystem services. Crop Sci. 59, 441–459. doi: 10.2135/cropsci2018.09.0594

Crossref Full Text | Google Scholar

Stanley, P. L., Rowntree, J. E., Beede, D. K., DeLonge, M. S., and Hamm, M. W. (2018). Impacts of soil carbon sequestration on life cycle greenhouse gas emissions in midwestern USA beef finishing systems. Agric. Syst. 162, 249–258. doi: 10.1016/j.agsy.2018.02.003

Crossref Full Text | Google Scholar

Stokdyk, J. P., Borchardt, M. A., Firnstahl, A., Bradbury, K., Muldoon, M., and Kieke, B. A. (2022). Assessing private well contamination in Grant, Iowa, and Lafayette Counties, Wisconsin: The southwest Wisconsin groundwater and geology study. Report #70231664.

Google Scholar

Strauser, J. N. R., Jordan, C., Gratton, S. E., Lloyd, E. G., Booth, A. A., Schank, A., et al. (2025). Piloting a transdisciplinary process of collaborative landscape design for regional agrifood system change in the north central US. SSRN. doi: 10.2139/ssrn.5530647

Crossref Full Text | Google Scholar

Strauser, J., and Stewart, W. P. (2024). Moving beyond production: community narratives for good farming. Agric. Hum. Values 41, 1195–1210. doi: 10.1007/s10460-024-10550-x

Crossref Full Text | Google Scholar

Strauser, J., Stewart, W. P., and Leitschuh, B. (2022). Producing regions: connecting place-making with farming practices. Soc. Nat. Resour. 35:10.1080/08941920.08942022.02101080. doi: 10.1080/08941920.2022.2101080

Crossref Full Text | Google Scholar

Streit Krug, A. (2020). Ecospheric care work. The Ecological Citizen 3, 143–148.

Google Scholar

Streit Krug, A., and Tesdell, O. I. (2020). A social perennial vision: transdisciplinary inquiry for the future of diverse, perennial grain agriculture. Plants People Planet 3, 355–362. doi: 10.1002/ppp3.10175

Crossref Full Text | Google Scholar

Tallowin, J. R. B., Rook, A. J., and Rutter, S. M. (2005). Impact of grazing management on biodiversity of grasslands. Anim. Sci. 81, 193–198. doi: 10.1079/ASC50780193

Crossref Full Text | Google Scholar

Temple, S. A., Fevold, B. M., Paine, L. M., Undersander, D. J., and Sample, D. W. (1999). Nesting birds and grazing cattle: accomodating both on midwestern pastures. Stud. Avian Biol. 19, 196–202.

Google Scholar

Thaler, E. A., Larsen, I. J., and Yu, Q. (2021). The extent of soil loss across the US Corn Belt. Proc. Natl. Acad. Sci. 118:e1922375118. doi: 10.1073/pnas.1922375118,

PubMed Abstract | Crossref Full Text | Google Scholar

Tayyebi, A., Meehan, T. D., Dischler, J., Radloff, G., Ferris, M., and Gratton, C. (2016). SmartScape™: A web-based decision support system for assessing the tradeoffs among multiple ecosystem services under crop-change scenarios. Computers and Electronics in Agriculture. 121, 108–121. doi: 10.1016/j.compag.2015.12.003

Crossref Full Text | Google Scholar

UN FAO (2019). The 10 elements of agroecology-guiding the transition to sustainable food and agricultural systems. Rome: Food and Agriculture Organization of the United Nations.

Google Scholar

UN FAO (2025). The state of food security and nutrition in the world 2025. Rome: Food and Agriculture Organization of the United Nations.

Google Scholar

US Environmental Protection Agency. (2021). Greenhouse Gas Equivalencies Calculator. Available online at: https://www.epa.gov/energy/greenhouse-gas-equivalencies-calculator. (accessed August 14, 2021).

Google Scholar

USDA Economic Research Service 2025. Commodity costs and returns - Corn and Soybeans. Available online at: https://www.ers.usda.gov/data-products/commodity-costs-and-returns (accessed August 14, 2021).

Google Scholar

Vadas, P. A., Powell, J. M., Brink, G. E., Busch, D. L., and Good, L. W. (2015). Whole-farm phosphorus loss from grazing-based dairy farms. Agric. Syst. 140, 40–47. doi: 10.1016/j.agsy.2015.08.007

Crossref Full Text | Google Scholar

van Eekeren, N., Jongejans, E., van Agtmaal, M., Guo, Y., van der Velden, M., Versteeg, C., et al. (2022). Microarthropod communities and their ecosystem services restore when permanent grassland with mowing or low-intensity grazing is installed. Agric. Ecosyst. Environ. 323:107682. doi: 10.1016/j.agee.2021.107682,

PubMed Abstract | Crossref Full Text | Google Scholar

von Redwitz, C., Andert, S., Bensch, J., Forster, R., Schatke, M., Strehlow, B., et al. (2025). Enhancing arable weed diversity by reduced herbicide use? Journal of Crop Health 77:1127. doi: 10.1007/s10343-025-01127-7

Crossref Full Text | Google Scholar

Wattiaux, M. A., Uddin, M. E., Letelier, P., Jackson, R. D., and Larson, R. A. (2019). Invited review: emission and mitigation of greenhouse gases from dairy farms: the cow, the manure, and the field. Appl. Anim. Sci. 35, 238–254. doi: 10.15232/aas.2018-01803

Crossref Full Text | Google Scholar

Wecking, A. R., Wall, A. M., Liáng, L. L., Lindsey, S. B., Luo, J., Campbell, D. I., et al. (2020). Reconciling annual nitrous oxide emissions of an intensively grazed dairy pasture determined by eddy covariance and emission factors. Agric. Ecosyst. Environ. 287:106646. doi: 10.1016/j.agee.2019.106646

Crossref Full Text | Google Scholar

Weigel, B. M., Lyons, J., Paine, L. K., Dodson, S. I., and Undersander, D. J. (2000). Using stream macroinvertebrates to compare riparian land use practices on cattle farms in southwestern Wisconsin. J. Freshw. Ecol. 15, 93–106. doi: 10.1080/02705060.2000.9663725

Crossref Full Text | Google Scholar

Wepking, C., Mackin, H. C., Raff, Z., Shrestha, D., Orfanou, A., Booth, E. G., et al. (2022). Perennial grassland agriculture restores critical ecosystem functions in the U.S. upper Midwest. Front. Sustain. Food Syst. 6:1010280. doi: 10.3389/fsufs.2022.1010280

Crossref Full Text | Google Scholar

West, T. O., and Marland, G. (2002). Flux from agriculture: carbon emissions, carbon sequestration, crop yield, and land-use change. Biogeochemistry 63, 73–83.

Google Scholar

Wiedenfeld, B., Kriegl, T., and Jackson, R. (2022). Dairy needs real innovation. Hoard’s Dairyman. Available online at: https://uwmadison.app.box.com/s/2j90n33f0bn5ijlojym2ckrsswjyy2go (accessed December 16, 2025).

Google Scholar

Wiesner, S., Desai, A. R., Duff, A. J., Metzger, S., and Stoy, P. C. (2022). Quantifying the natural climate solution potential of agricultural systems by combining eddy covariance and remote sensing. Biogeosciences 127:6895. doi: 10.1029/2022JG006895

Crossref Full Text | Google Scholar

Winsten, J. R. (2024). Low-overhead dairy grazing: a specific solution to a vexing problem. J. Soil Water Conserv. 79, 27A–31A. doi: 10.2489/jswc.2024.0122A

Crossref Full Text | Google Scholar

Wisconsin Corn Growers Association (2024). Corn facts. Madison, WI: Wisconsin Corn Growers Association. Available online at: https://wicorn.org/resources/corn-facts/. (accessed December 16, 2025).

Google Scholar

Young, K., Mathewson, P., Jackson, R., Connolly, P., Lloyd, S., and Tautges, N. (2025). Natural climate solutions for Wisconsin agriculture: a roadmap to net-zero agricultural emissions by 2025 Clean Wisconsin Madison, WI. Available online at: https://jacksonlab.agronomy.wisc.edu/wp-content/uploads/sites/8/2025/12/Roadmap-to-net-zero-GHG-emissions-for-WI.pdf

Google Scholar

Young, E. O., Sherman, J. F., Bembeneck, B. R., Jackson, R. D., Cavadini, J. S., and Akins, M. S. (2023). Influence of pasture stocking method on surface runoff and nutrient loss in the US upper Midwest. Nitrogen 4, 350–368. doi: 10.3390/nitrogen4040025

Crossref Full Text | Google Scholar

Zilverberg, C., Johnson, W. C., Archer, D., Kronberg, S., Schumacher, T., Boe, A., et al. (2014). Profitable prairie restoration: the EcoSun prairie farm experiment. J. Soil Water Conserv. 69, 22A–25A. doi: 10.2489/jswc.69.1.22A

Crossref Full Text | Google Scholar

Keywords: agroecology, ecosystem services, transdisciplinarity, socioecological change, sustainability transitions

Citation: Jackson RD and Gratton C (2026) Grassland 2.0—agroecosystems that care for us today while building capacity for future generations to do the same. Front. Sustain. Food Syst. 9:1696429. doi: 10.3389/fsufs.2025.1696429

Received: 31 August 2025; Revised: 26 November 2025; Accepted: 27 November 2025;
Published: 07 January 2026.

Edited by:

Vijay Singh Meena, ICAR - Mahatma Gandhi Integrated Farming Research Institute, India

Reviewed by:

Kassa Tarekegn Erekalo, University of Copenhagen, Denmark
Julie Snorek, American Association for the Advancement of Science, United States

Copyright © 2026 Jackson and Gratton. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Randall D. Jackson, cmRqYWNrc29uQHdpc2MuZWR1

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.