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Copyright © 2011 by the author(s). Published here under license by The Resilience Alliance.
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Atwell, R. C., L. A. Schulte, and L. M. Westphal. 2011. Tweak, adapt, or transform: policy scenarios in response to emerging bioenergy markets in U.S. corn belt. Ecology and Society 16(1): 10. [online] URL: http://www.ecologyandsociety.org/vol16/iss1/art10/


Research

Tweak, Adapt, or Transform: Policy Scenarios in Response to Emerging Bioenergy Markets in the U.S. Corn Belt

Ryan C. Atwell 1, Lisa A. Schulte 1 and Lynne M. Westphal 2


1Iowa State University, Department of Natural Resource Ecology and Management, 2U.S. Forest Service, Northern Research Station



ABSTRACT


Emerging bioenergy markets portend both boon and bane for regions of intensive agricultural production worldwide. To understand and guide the effects of bioenergy markets on agricultural landscapes, communities, and economies, we engaged leaders in the Corn Belt state of Iowa in a participatory workshop and follow-up interviews to develop future policy scenarios. Analysis of workshop and interview data, in conjunction with the results of regional social and ecological research, was used to develop a heuristic model outlining interactions between key drivers and outcomes of regional landscape change. Three policy scenarios were built on this framework and included the following approaches: tweak, adapt, and transform. Our results suggest that if macroscale markets, technologies, and federal farm policies are allowed to be the overriding drivers of farm owner and operator decision making, Iowa’s agricultural landscapes will likely become highly efficient at row crop production at the cost of other desired outcomes. However, the perspectives of Iowa leaders demonstrate how multifunctional agricultural landscapes can be achieved through a concerted portfolio of change coordinated across local, regional, and national scales.


Key words: agriculture; complexity; ecosystem services; Iowa; participatory; perennials; resilience; scale; social-ecological systems



INTRODUCTION


Bioenergy crops have been heralded as an environmentally beneficial alternative to global consumption of fossil fuel (Ragauskas et al. 2006). However, mounting research shows that the devil may be in the details; long-term sustainability of bioenergy production will be determined by interactions among ecological, social, and economic factors that are unique to particular bioregions, cultures, and economies (Jordan et al. 2007, Field et al. 2008, Robertson et al. 2008, Porter et al. 2009). Evaluating the efficacy of regional approaches to bioenergy production is, therefore, integral to realizing the potential societal benefits of this emerging industry.

The U.S. Corn Belt is one well-studied agroecosystem that illustrates the complex potential impact of bioenergy markets on natural resources, and Corn Belt stakeholders have expressed concern about how the rapid development of these markets will impact regional social, economic, and environmental sustainability (Hinkamp et al. 2007). For instance, rising demand for corn-based ethanol is currently leading to more land planted in annual monoculture crops and less in diverse perennial cover (Secchi et al. 2008). Loss of perennial vegetation is associated with declining biodiversity, water quality, flood control, and other ecosystem services (Schulte et al. 2006, Landis et al. 2008, Broussard and Turner 2009). In particular, the export of agricultural nutrients, i.e., nitrogen and phosphorous, associated with row crops to Corn Belt river systems is a key driver of downstream hypoxia in the Gulf of Mexico (US EPA 2007).

Emerging research indicates that small, carefully targeted networks of perennial cover within Corn Belt agricultural landscapes, e.g., constructed wetlands, stream buffers, pasture, diverse crop rotations, and certain biomass energy crops, could disproportionately benefit regionally impaired ecosystem function (Schulte et al. 2006, Jordan et al. 2007, Nassauer et al. 2007). Incorporating perennial crops for food and bioenergy at strategic locations in agricultural landscapes may also be an effective strategy in addressing a global need for balanced production of food, fiber, energy, and ecosystem services (Porter et al. 2009, Vitousek et al. 2009, Glover et al. 2010).

Corn Belt farm owners and operators are, however, hesitant to alter farming practices and voice little efficacy to influence the technologies, institutions, and policies that drive regional land use (Atwell et al. 2009a). Both rural stakeholders (Atwell et al. 2009b) and regional leaders (Atwell et al. 2010) indicate that successful implementation of perennial conservation initiatives is dependent upon policy mechanisms that address complex, multiscale interactions among ecological and social drivers in the system.

To facilitate the development of such policy mechanisms, we conducted a participatory workshop and follow-up interviews to integrate the insights of Corn Belt leaders with the results of regional social and ecological research, including companion studies investigating how rural stakeholders perceive agricultural landscapes and perennial conservation practices (Atwell et al. 2009a,b, 2010). Our objectives were to (1) understand how regional leaders viewed ecological and social drivers of Corn Belt land use change, and (2) to develop alternative policy scenarios that could bolster resilience of desirable system configurations. In particular, we probed how perennial conservation practices could be implemented to promote ecosystem services and other societal goods in the midst of emerging bioenergy production markets. Here we present resulting policy scenarios using the framework provided by resilience science.

Resilience science is an emerging approach to address complexity and change in linked social-ecological systems (Gunderson and Holling 2002, Folke 2005). “Resilience” is a loosely defined concept that refers to the amount of change that a system can undergo and still maintain its essential configuration; resilience can also refer more generally to a system’s capacity for self-organization, learning, and adaptation (Brand and Jax 2007). The goal of resilience analysis is to understand and bolster the resilience of desirable system configurations while avoiding those that are undesirable (Walker et al. 2002). This includes analyzing how social actors “adapt” to maintain systems in their present state or “transform” systems into alternative states. Resilience science emphasizes the inclusion of multiple stakeholder groups in scientific and decision making processes to understand a system from different viewpoints. Scenario planning is a strategy often used within resilience science to formally consider uncertainty (Peterson et al. 2003, 2004). Alternative scenarios that describe a range of future system trajectories are designed to be consistent with what is known about causal processes; they also highlight how key decision points might influence system behavior under a range of assumptions and conditions developed through stakeholder input.



METHODS


Although our research objectives address the biophysical scale of the U.S. Corn Belt agroecoregion, we focused the policy workshop and resulting analyses on the state of Iowa (Fig. 1). The Corn Belt is a region of temperate climate and deep soils that spans 13 states in the north central U.S. The region was formerly comprised largely of tallgrass prairie and is now dominated by intensive agricultural production. Iowa lies in the center of the U.S. Corn Belt and is the only state that lies entirely within this agroecoregion. Many organizations and policy decisions that affect agricultural land use change are made at the state level, and state level actors and decisions in turn influence, and are influenced by, national agricultural policy.

The participatory policy workshop, and the resulting models and scenarios, presented in this paper are the capstone of a larger interdisciplinary study (Fig. 2). As we explain below, workshop participants were asked to consider and build upon previous research, including a companion study integrating the perspectives of farmers and other rural Iowa stakeholders. We also explain how the models and scenarios presented in this paper were developed through the participatory policy workshop, but with consideration of other aspects of our larger research project.

Strategic sampling (Handwerker 2005) and assistance from agency and nonprofit partners were used to select key leaders in agriculture, conservation, and policy in Iowa as workshop participants (Atwell et al. 2010). Participants held positions of influence in organizations that encompass the multiplicity of perspectives that drive state-level land use decisions (Table 1). Sixteen of the 17 leaders whom we invited agreed to participate. Two were unable to attend because of an extended legislative meeting. The remaining 14 invitees participated in the workshop.

Upon arrival, participants filled out a questionnaire that probed individual perspectives on agricultural land use change. To provide a common starting point, the workshop began with a brief presentation outlining our research objectives and highlighting the results of companion studies exploring stakeholders’ perspectives on land use and perennial conservation strategies (Atwell et al. 2009a,b). This included a brief presentation of a preliminary version of a heuristic model outlining the social and ecological drivers of land use change in Iowa agricultural landscapes. We then facilitated a 2.5 hour dialogue on current and future land use practices, institutions, and policies in Iowa.

The discussion was recorded using audio and visual media, but anonymity of participants’ comments in research reports was guaranteed to foster a candid dialogue. The lead author coded the workshop transcript into thematic categories using a qualitative approach (Miles and Huberman 1994) and NVivo7 data management software (QSR 2006). Themes were identified by comparing similarities and dissimilarities (including agreement or disagreement) in the data by sorting and assigning coded data into different hierarchical groupings, and by looking at the use of emphasized or recurring phrases, metaphors, and stories (Atwell et al. 2010).

We integrated these workshop themes with the results of rural stakeholder interviews and other social and ecological research (Fig. 2) to further develop a heuristic model illustrating how desired multiobjective regional outcomes hinge upon the interactions among key social and ecological variables (Fig. 3, Table 2). This model provided the underlying causal framework upon which future policy scenarios were built (Fig. 2; Walker et al. 2002, Peterson et al. 2003). Although these scenarios were written by our research team, all of their narrative content was gathered from themes that arose directly from qualitative analysis of the policy workshop and rural stakeholder interviews. This included consideration of negative, or conflicting, evidence in our data that challenged or added caveats to primary themes. As part of the qualitative analysis process, scenarios were further shaped by comparing and contrasting workshop and interview data and themes with resilience theory.

Results of preliminary analyses, including workshop themes and written scenarios, were presented to all workshop participants and their feedback was recorded in individual interviews. This interview data was incorporated into further analyses and refinement of themes and scenarios. As part of the ongoing process of qualitative analysis, the content of and the relationships between workshop and interview data, the heuristic model, and future scenarios were subjected to iterative rounds of criticism, scrutiny, and development by our research team.



RESULTS


Leaders in Iowa agriculture, conservation, and policy arenas helped to explicate, corroborate, and add caveats to scientific understanding of the relationships among bioenergy markets, agricultural land use, and desired societal and ecosystem outcomes (Fig. 3, Table 2). Individual workshop participants placed emphasis on different components of this model, and sometimes did not recognize certain aspects of it. However, three different interpretations of this model emerged through workshop dialogue, data analysis, and follow-up interviews as capturing collective approaches that, taken together, could be agreed upon by the group as a whole to represent alternative visions of the future (Figs. 4a-4c). These models were developed into the following policy scenarios: (1) tweak, (2) adapt, and (3) transform.

Scenario 1: tweak

The ethanol boom leads to a 10% increase in land planted in corn, and changing markets and emerging technologies become the primary drivers of land use. With world demand for food and energy increasing, Iowans take pride in the high production capacity of their farms, and industrial agriculture dominates the landscape. Public sentiment holds that ecological sacrifices must be made across Iowa’s rural areas to meet the demand for agricultural products. Legislation to monitor and regulate agriculture’s impact on natural resources is met with resistance, except in a few watersheds characterized by high exurban development or by lakes and rivers of regional importance.

Climate change leads to an increase in the severity of storms, and regional conservation efforts focus on water quality and flood control. Biodiversity is perceived to be too complex and too expensive to be of practical concern within working agricultural landscapes. Federal farm programs are used to promote the implementation of perennial cover and other conservation practices at key landscape positions. Some farmers choose to participate in these programs, but most do not. In watersheds of unique interest, initiatives are funded by special interest groups and government agencies to improve ecosystem services, but these efforts are seldom coordinated and often compete for limited resources.

As crop prices outpace conservation subsidies, there is a trend toward loss of land in conservation set-asides and more hectares are devoted to row crop production. Because of loss of perennial vegetation and inconsistent adoption of conservation practices, levels of pollutants in regional rivers remain high during periods of high precipitation. Loss of native grassland species continues, and the downstream Gulf of Mexico hypoxic zone continues to grow. Government commodity subsidies become increasingly unpopular with urban voters, and the amount of federal assistance flowing into rural areas decreases. As aging farmers retire, the amount of land in large farms owned by outside investors grows and more farms are operated by hired laborers. Rural populations of middle class farmers and young professionals continue to decline as people move to regional hubs.

Scenario 2: adapt

Iowans increasingly demand multifunctional agricultural landscapes that provide crops, livestock, water quality, flood control, recreation, scenic value, and wildlife habitat. Corn-based ethanol production leads to increased row crop production, rising crop prices, and increased pressure on the region’s water and soil resources. As a result, federal subsidies that reward corn and soybean production become politically untenable. To transfer federal funding toward rural community and environmental development, farm groups and conservation groups join forces to create economic opportunities associated with delivery of ecosystem services. Iowa environmental agencies begin widespread monitoring of nutrients and other agricultural pollutants discharged from underground field drainage systems and small order streams.

Iowa becomes a national leader in addressing nonpoint source environmental dilemmas by implementing a water quality and flood control trading system whereby farmers with low pollution and high water retention can sell credits to entities with substandard environmental performance. The state leverages federal funding to offer competitive block grants to groups of farm owners and operators on a watershed basis to meet environmental standards in creative ways. Incentives are offered for the implementation of public access points, trail networks, and wildlife habitat. State and federal farm policy provides funding for trained conservation personnel to identify and work directly with individual farm owners and operators at the county level.

Because of more sources of cultural and institutional support for farm owners and operators who make choices to advance conservation on their farms, Iowa’s countryside sees a marked increase in perennial cover. Off-season cover crops retain soil, uptake water, and replenish nutrients during rainy months. Networks of riparian buffers square field edges for large farm equipment and allow once-channelized streams to meander, connecting reconstructed wetlands that purify, retain, and slow the movement of water. As a result of landscape scale changes in hydrology and vegetative cover, biodiversity and populations of desirable game species rebound and regional soil and water quality hold steady over decadal timeframes. However, limited government conservation funding and the slow response time of government programs cannot keep pace with the power of agricultural markets and technologies. Intensive row crop production continues to be the primary driver of land use in Iowa.

Scenario 3: transform

A group of regional leaders in agriculture, conservation, and policy are brought together by the questionable long-term sustainability of row crop agriculture and corn-based ethanol. They envision a future where the emerging bioeconomy will usher in a period of rapid system reorganization, presenting unique opportunities to reshape Iowa’s agriculture, countryside, and commerce. These leaders and their constituencies set a goal: to double the real value of Iowa’s agricultural economy over the course of 25 years. Their approach is to build appropriately scaled markets, production systems, and landscapes that balance use and conservation of Iowa’s deep soils, abundant water, unique habitats, and pastoral countryside.

Coalitions of regional lobby groups drive state and federal farm legislation to set high standards for environmental quality and provide incentives to teams of farmers, agricultural interest groups, conservation agencies, and industries to meet these standards in creative ways. Cropping and conservation practices are targeted at different landscape positions during key times of the year; each part of the landscape is seen as performing a valuable function based on its soils, topography, and hydrology. Algae is grown in constructed wetlands located where underground crop field drainage tile lines flow into streams to produce biodiesel and to purify agricultural waste products. Trucks and trains powered by biodiesel haul perennial biomass to ethanol plants that fuel flex-fuel hybrid vehicles. Bottomlands and sloping fields are used for rotational grazing or for growing woody crops such as hazelnuts, poplar for ethanol, or hardwood trees for veneer and lumber. Dirt trails and public access points are installed alongside stream corridors and bike trails connect small towns.

An aggressive marketing strategy, “RuralIowa.com,” is developed to attract young entrepreneurs and professionals, many who work via the internet, to the Iowa countryside. Families from across the U.S. are enticed by Iowa’s affordable housing and by opportunities to raise animals, garden, hunt, fish, watch wildlife, and participate in small town life. Regional programs assist young farmers, partnering them with retiring farmers, land owners, and local markets. Farmers and nonfarm rural residents recognize their interdependence and forge a set of shared values, focused on preservation of Iowa’s countryside and farming lifestyle. Because of the work of community action coalitions, many rural towns become important meeting places with thriving businesses and schools.



DISCUSSION


Workshop participants agreed that the bioeconomy will shape Iowa’s agricultural landscapes in ways that are currently unclear, creating new challenges and new opportunities for conservation. The trajectories and outcomes described by the previous scenarios vary markedly, yet each is a plausible interpretation of the best available scientific and stakeholder information (Fig. 3, Table 2). Comparison of scenarios illustrates that different outcomes hinge upon the type and quality of relationships among social and ecological system components, including collective decisions of multilevel social actors. These differences can be summarized in two ways: (1) multiscale, multiperspective system understanding, and (2) efficacy of regional actors to effect change.

Resilience science suggests that quantitative cause and effect models often fail to predict environmental outcomes because they do not incorporate the perspectives of social actors who intervene and alter a system’s trajectory (Gunderson and Holling 2002, Peterson et al. 2004, Folke 2005). The heuristic model developed in this research (Fig. 3) advances understanding of how the Corn Belt social-ecological system may respond to the bioeconomy by integrating knowledge from stakeholders who view this system from different scales and perspectives (Table 2). Scenarios illustrate how human actors can maintain a system in its current configuration, i.e., tweak, adapt a system’s configuration to achieve desired outcomes, or transform a system into a fundamentally new configuration (for a discussion of adaptation and transformation in social-ecological systems, see Gunderson and Holling 2002, Walker et al. 2002, Walker and Salt 2006).

Current approaches to science-based management of natural resources may also fail because they optimize certain focal outcomes, while unrecognized feedback loops produce other unforeseen and undesirable outcomes (Gunderson and Holling 2002, Liu et al. 2007). Workshop participants suggested that agronomic initiatives, focused on maximizing production to sustain farm profitability, and conservation initiatives, focused on land retirement to improve water or wildlife, have produced unintended, negative outcomes. To move beyond this nearsightedness, these leaders emphasized the importance of the systems approach used in the heuristic models underlying scenarios (Fig. 3, Table 2). To illustrate different ways of responding to complexity, scenario 1 prioritizes linear understanding and optimization of a few focal system components, whereas scenarios 2 and 3 add increased understanding of feedback loops among local, regional, and macroscale drivers of change (Figs. 4a-4c).

As regional actors gain a more nuanced understanding of the system, their efficacy to affect systemic change increases. In scenario 1, regional and local outcomes are principally driven by macroscale markets, technologies, and policies (Fig. 4a). Change seems unlikely or risky, and agricultural production is maintained at the expense of other desired system outcomes. In scenario 2, increased understanding of feedback loops enables consortiums of regional and local interests to adapt the influence of macroscale forces to achieve regional outcomes (Fig. 4b). In scenario 3, regional actors are able to leverage their pooled knowledge, resources, and initiative to transform macroscale drivers that are perceived as beyond local and regional control in other scenarios (Fig. 4c). This makes it possible to replace extant aspects of the current system with alternative components, i.e., markets, technologies, policies, partnerships, aspects of culture, land cover types, and rural economies, explicitly designed to achieve desired outcomes.

The models and scenarios arising from this study add to a growing body of research highlighting the intermediary role of regional institutions in brokering knowledge, resources, and decisions among stakeholders and across scales to maximize the vitality of communities and ecosystems (Brondizio et al. 2009). If macroscale markets, technologies, and farm policies associated with the emerging bioeconomy are allowed to be the overriding drivers of farmer decision making, Iowa’s agricultural landscapes will likely become highly efficient at row crop production at the cost of other desired outcomes. However, state leaders suggest that adaptive or transformative change in response to these macroscale drivers is possible if a coordinated strategy is implemented across multiple levels of the system.



CONCLUSION


In reality, the future will not look like any one of the scenarios developed in this research, but will likely include some components of each, as well as other options hitherto unexplored. However, the visions of the future and of system understanding offered by each scenario can help to guide future decision making by revealing current challenges and leverage points for change in the Corn Belt social-ecological system. Comparing potential responses to bioenergy development in the Corn Belt with strategies being implemented in other regions will enhance the ability of both scientists and decision makers to achieve desired outcomes during this time of rapid system change.

The scenarios in this research suggest that strategic placement of perennial conservation practices in Iowa’s row crop agricultural landscapes may have the potential to bolster desired multiobjective system outcomes. However, to realize potential social and ecological benefits, these practices will need to be supported by socio-cultural, economic, political, and legal drivers at national, state, and community levels. The results of adaptive change at only one level of the system are likely to be dampened by the overwhelming power of stronger exogenous variables that characterize the current system configuration.

Regional stakeholders suggested, however, that a different system configuration is possible for the future; one that increases the social, ecological, and economic output of Iowa’s agricultural landscapes through more careful use of Iowa’s abundant natural and cultural resources. They suggest that such a transformation would require coordinated change across levels in the system. Our research suggests that, within the Corn Belt, state and regional leaders are positioned at a key “meso”-scale, and may be able to leverage change within both macro and micro levels of the system.



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ACKNOWLEDGMENTS

We thank workshop participants for their honesty and insight. We also thank Tricia Knoot and Kris Atwell for comments improving earlier drafts of this manuscript and Drake Larsen for assistance with workshop organization, transcription, and analysis. This research is funded by Leopold Center for Sustainable Agriculture, USDA Sustainable Agriculture Research and Education (SARE), U.S. Forest Service Northern Research Station, and Iowa State University.




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Address of Correspondent:
Ryan C. Atwell
339 Science II
Ames, Iowa 50011-3221, USA

ryancardiffatwell@gmail.com

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