Sociohydrological studies use interdisciplinary approaches to explore the complex interactions between physical and social water systems and increase our understanding of emergent and paradoxical system behaviors. The dynamics of community values and social cohesion, however, have received little attention in modeling studies due to quantification challenges. Social structures associated with community‐managed irrigation systems around the world, in particular, reflect these communities' experiences with a multitude of natural and social shocks. Using the Valdez acequia (a communally‐managed irrigation community in northern New Mexico) as a simulation case study, we evaluate the impact of that community's social structure in governing its responses to water availability stresses posed by climate change. Specifically, a system dynamics model (developed using insights from community stakeholders and multiple disciplines that captures biophysical, socioeconomic, and sociocultural dynamics of acequia systems) was used to generate counterfactual trajectories to explore how the community would behave with streamflow conditions expected under climate change. We found that earlier peak flows, combined with adaptive measures of shifting crop selection, allowed for greater production of higher value crops and fewer people leaving the acequia. The economic benefits were lost, however, if downstream water pressures increased. Even with significant reductions in agricultural profitability, feedbacks associated with community cohesion buffered the community's population and land parcel sizes from more detrimental impacts, indicating the community's resilience under natural and social stresses. Continued exploration of social structures is warranted to better understand these systems' responses to stress and identify possible leverage points for strengthening community resilience.

Systems involving agriculture and natural resources (AGNR) management and representing integrations of biologic, geologic, socio-economic, and climatic characteristics are incredibly complex. AGNR managers purport using a systems-oriented mental model while many observed management and policy strategies remain linear or symptom-driven. To improve AGNR professionals’ systems thinking abilities, two programs, the King Ranch® Institute for Ranch Management at Texas A&M University-Kingsville (KRIRM) and the Honors College at South Dakota State University (SDSUHC), implemented the famous Production Distribution Simulation Game (a.k.a. the Beer Game) into their programs beginning in 2003 and 2011. A Beer Game database consisting of 10 years of trials or over 270 individual players was compared to seminal work in the literature as well as to one another. We found that AGNR managers and students performed worse than players in a seminal Beer Game study. More interestingly, we found that younger players adapted more readily to inventory surpluses by reducing the order rates and effective inventories significantly when compared to older players (p < 0.10 for retailer and distributors, and p < 0.05 for wholesales and factories). We substantiated our results to those in more recent studies of age-related decision-making and in the context of common learning disabilities. Lastly, we discuss some implications of such decision-making on 21st century AGNR problems and encourage AGNR disciplines to better integrate system dynamics-based education and collaboration in order to better prepare for such complex issues.

Due to tightly coupled physical, chemical, and biological processes that often behave in nonlinear, counterintuitive ways, it is argued that soil is an archetype of a complex system. Unfortunately, human intuition and decision making has been shown to be inadequate when dealing with complex systems. This poses significant challenges for managers or policy makers responding to environmental externalities where soil dynamics play a central role (e.g., biogeochemical cycles) and where full ranges of outcomes result from numerous feedback processes not easily captured by reductionist approaches. In order to improve interpretation of these soil feedbacks, a dynamic systems framework is outlined (capturing feedback often excluded from investigation or left to intuition) and then applied to agroecosystem management problems related to irrigation or tillage practices that drive nutrient cycling (e.g., soil water, nitrogen, carbon, and sodium). Key soil feedbacks are captured via a variety of previously developed models simulating soil processes and their interactions. Results indicated that soil system trade-offs arising from conservation adoption (drip irrigation or no-tillage) provided reasonable supporting evidence (via compensating feedbacks) to managers justifying slow adoption of conservation practices. Modeling soils on the foundation provided in the complex systems sciences remains an area for innovations useful for improving soil system management.

As global food demand continues to grow, private landowners and agricultural managers have increased incentives to convert grasslands to expand crop production. These conversions are increasingly occurring on marginal soils susceptible to rapid degradation, which threatens delivery of diverse bundles of ecosystem goods and services (EGS). A growing number of studies have demonstrated that previous land management decisions continue to effect current soil ecosystem functions in the long‐term (i.e., soil legacies persist after previous management has ceased). Such legacies could further alter EGS deliveries, especially in mixed‐use agroecosystems (grass and croplands) that are susceptible to large, rapid changes in land use. The objective of this work was therefore to identify potential soil legacy effects and recovery time delays after land transformation and to place those effects in the context of EGS tradeoffs. Our overall hypotheses were that soil legacies can be traced back to management's EGS prioritization, that soil legacies persist due to the nature of land use (grass versus cultivation) and the time (years) under management, and that anthropomorphic manipulation from cultivation creates specific kinds of soil legacies. Using a systems approach that integrated ecosystem indicators, physical soil data, and human dimensions, we tested our hypotheses in South Dakota (USA), along the 100th Meridian (west), where recent and rapid cultivation expansion has reached historic highs. We conducted intensive interviews of four private land managers to identify historical land transformations, current goals, and strategies employed to achieve those goals on varying sites within their operations (nine grassland sites, nine cultivated sites; n = 18). Ecosystem assessments were conducted on each site using the US interagency assessment protocol Interpreting Indicators of Rangeland Health. Field aggregate stability and soil organic matter using loss‐on‐ignition were also measured. We found that (1) soil legacies continued to be detectable up to 20 yr after land transformation; (2) producers’ personal values of EGS were directly linked to observed land uses and ecosystem ratings; and (3) opportunities for reintroducing grasses into crop rotations or crop–livestock integration could likely improve EGS delivery from converted lands while enhancing rural economic outcomes at a low‐ to no‐cost trade‐off between ecosystem functions.

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