A systems approach to forecast agricultural land transformation and soil environmental risk from economic, policy, and cultural scenarios in the north central United States (2012–2062)

ABSTRACT

Grassland conversion to row-crop production in the north central United States has been a growing threat to socio-economic and environmental sustainability for producers, conservationists, and policy-makers alike. We used a system dynamics model of the region to forecast agriculturally driven land transformation through mid-twenty-first century. The base-case scenario projection showed that farmland area continued to increase, from under 200,000 km² to over 230,000 km². Unmitigated, the soil environmental risk (SER) of such changes reached conservative estimates of Dust Bowl-era externalities. Systems analyses show that reducing livestock production costs, doubling conservation compliance requirements, and livestock–cropping integration had the largest impact on grassland conservation and mitigating SER. The largest SER effects came from eliminating conservation incentives or raising cultivation incentives, despite improvements in reduced tillage and enhanced agronomy. Several system archetypes were identified within the policy scenarios: ‘fixes that backfire’ and ‘success-to-the-successful’. For scenarios creating favourable impacts, time delays caused some behaviours to worsen before positive gains were realized. If implemented, patience and persistence to ensure that these scenarios reach their full potential will be necessary. Our scenarios provide quantitative forecasts around measures for sustainable intensification. These projections can aid regional stakeholders in enhancing discussions currently taking place about sustainable agriculture in the region.

KEYWORDS:

• Land transformation
• grassland loss
• grassland-farmland interactions
• environmental risk
• soil sustainability
• sustainable intensification
• computer simulation
• system dynamics
• forecasting

Acknowledgements

We gratefully acknowledge financial support for this work provided by the South Dakota Agricultural Experiment Station at South Dakota State University, the College of Agriculture and Biological Sciences at South Dakota State University, as well as the W. D. Farr Scholarship of the National Cattlemen’s Foundation.

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

B.H. Dunn http://orcid.org/0000-0002-5318-2157