There is increasing awareness that community food policies and programs can address issues of equity, sustainability, profitability, and resilience in food systems. Community coalitions, local governments, food policy councils, cooperative extension, and other stakeholders seek to improve community food systems through policy and programmatic development. However, these groups often do not know what types of policy or program models exist to help achieve their goals. This research identified expert consensus on three important topics related to community food systems resilience: (1) values that should guide adopting and implementing poli­cies and programs to facilitate community food systems resilience, (2) benefits of adopting policies and programs that support community food sys­tems resilience, and (3) policies, programs, and ini­tiatives that are indicators of resilience. These indi­cators can be used to assess the resilience of communities and to help communities identify pol­icy options to achieve specific goals and objectives. The results of this study were used to create a com­munity food system resilience audit tool that com­munity groups can use to assess the current resili­ency of their food system, identify priorities, and set goals. The audit tool focuses on seven core themes that contribute to community food systems resilience: agricultural and ecological sustainability, community health, community self-reliance, dis­tributive and democratic leadership, focus on the farmer and food maker, food justice, and place-based economics. The individual indicators in this audit tool provide specific policies and practices that can be adopted by local governments, sup­ported by cooperative extension agents, and advo­cated for by food policy councils and community-based organizations.

The global trend of urbanization coupled with an increasing awareness of the importance of food systems resilience, has led to an increasing interest in urban agriculture to sustainably feed the rapidly growing urban population and mitigate against food supply chain disruptions. While home and community gardens have been long studied, there has been relatively little empirical research focused specifically on commercial urban agriculture (CUA) operations. The purpose of this study was to characterize commercial urban farms, and to identify their primary barriers to business development and expansion, their perceptions of future opportunities, and their specific informational needs. Because CUA has received relatively less attention in previous empirical research, a qualitative approach was used for this needs assessment to collect rich, contextualized information to help differentiate the specific barriers, opportunities and needs of CUA operations as opposed to their rural counterparts. We conducted semi-structured interviews (n= 29) of CUA producers in Florida. These interviews revealed that CUA operations face many of the same barriers that are common to establishing and growing small farms, with additional barriers due to local government regulations and tensions associated with farming on land that is not traditionally used for agriculture. Despite these difficulties, CUA operators believe their urban location is a key benefit to their operation and they see a variety of opportunities for future business and market expansion.

This research aimed to determine salient factors affecting the decision to become a beginning organic farmer. New and beginning organic farmers have unique characteristics, showcasing their dedication to environmental justice and social justice at the expense of their own businesses. This research aimed to determine why people with no background in agriculture would start a farm when it is a high-risk and low-return business. With multigenerational farmers aging out of agriculture, we investigated the new generation and shifting demographics of people entering farming that will replace retiring farmers and feed our future. This research employed a multiple-case case study design. We conducted semi-structured interviews with 40 first-generation farmers who operate organic farms in Arkansas, Florida, or Georgia. We analyzed interview transcripts using the qualitative analysis approach of coding. Our results reveal two primary reasons why people with little practical knowledge start farms. First, they are inspired by those around them who succeed, and second, they are encouraged by influential characters in the field who assure them they can do something they love and be profitable. This research showed that first-generation farmers find inspiration and develop values rooted in food justice. Our findings have implications for developing and implementing current and future programmatic activities that aim to enhance beginning farmer training and workforce development. We identified sources of inspiration that will help researchers and service providers target newer and beginning farmers to support a vibrant food system, including burgeoning market opportunities, developing strong communities around food, and building grassroots solutions.

Social outcomes of agricultural practice adoption are often excluded from adoption studies, particularly outcomes related to community well‐being. In large part, this is because assessing the social well‐being outcomes of sustainable agricultural practices lacks a widely accepted framework. This study fills the gap by identifying community well‐being domains and attributes related to the impacts of agricultural management. Semi‐structured interviews via Zoom with 42 underrepresented producers across the United States during the winter of 2021 captured producers' perceived broader community well‐being outcomes of soil health management. Producers were selected to represent Long‐Term Agroecosystem Research (LTAR) network sites and interests, a national network of diverse cropping, livestock, and integrated agricultural research sites. Two rounds of coding, first inductive and then deductive, were based on the community well‐being framework and the 4Cs of ecosystem assessment: conditions, capabilities, connections, and crosscutting. The data revealed three major domains of how soil health management contributes to the conditions, capabilities, and connections that underlie community well‐being, aligning with the 4Cs framework. Within these three domains, we identify 16 attributes specific to agricultural management, including sense of place, recreation and tourism, and community safety, among others. These domains and associated attributes notably expand the range of measurable outcomes of soil health practice adoption. The new data contribute to the development of social sustainability indicators and efforts to foster diversity, equity, and inclusion within agricultural innovation. Additionally, this research provides an empirical, theoretically based framework of social sustainability indicators for agricultural sustainability assessments across the LTAR network.

Rapid changes in economic, environmental and social conditions generate both problems and opportunities in agriculture. The cycle from problem identification through discovery of potential solutions is lengthy. The objective of this study was to use collaborative methods to speed the cycle of discovery in sustainable organic strawberry (Fragaria × ananassa) production systems in the southeastern USA. This method, stakeholder-driven adaptive research (SDAR), combines farmers' experiential knowledge with scientists' experimental knowledge to develop rigorous research design collectively. Farmers evaluated our biological research and co-designed research experiments with scientists. Farmers and other stakeholders (1) evaluated on-station experiments individually and then made recommendations as a group, (2) served as advisory council members to direct our goals and objectives, and (3) conducted farmer field trials where they implemented aspects of our on-station experiments under their management regimes. The results eliminated potential solutions that were not feasible, ineffective or too costly for farmers to adopt. Key results included eliminating treatments using high tunnel systems altogether on one field trial on a University of Florida (UF) research facility, adding a leguminous cover crop mix treatment, adding companion planting, and eliminating strawberry cultivars Strawberry Festival and Florida Beauty from our research trials. Our proposed methodology allows farmers and other stakeholders to inform the biological research from design through dissemination to reduce the time needed to create research products in an era of rapid bio-physical, social and economic change. Accelerating the discovery cycle could significantly improve our ability to identify and address threats to the USA and global food and fiber production system.

The pace of global change complicates the assessment of the outcomes of agricultural management, hindering decision‐making by producers, researchers, and consumers. The Long‐Term Agroecosystem Research Network (LTAR) is in a unique position to advance monitoring to inform decision‐making. Here, we describe how the network selected performance indicators designed to measure the trade‐offs from various farming and ranching approaches. Indicator selection was motivated by the need for common indicators that apply to the diversity of LTAR sites, but they are intended for widespread use by producers and other managers via the Agricultural Performance Indicator and Context Knowledge System (AgPICKS). An initial set of domains, attributes, and indicators was developed via synthesis of structured conversations at national LTAR meetings. Early use revealed the need for a systematically inclusive process toward improvement. We designed and implemented an iterative decision‐making protocol to reach a consensus for a new version. The indicator framework differs from others in its attention to production and social outcomes and its grounding in networked agricultural science. Next steps entail developing web tools and personnel for AgPICKS that use LTAR's data and knowledge ecosystem to guide users in setting benchmarks of the desired conditions for their prioritized indicators, collect data, and visualize data to assess how well their management meets their benchmarks, toward the accurate measurement of management outcomes in a changing world.