Anna Rosman , Joseph MacPherson , Marie Arndt , Katharina Helming
{"title":"德国社区支持农业的复原力感知","authors":"Anna Rosman , Joseph MacPherson , Marie Arndt , Katharina Helming","doi":"10.1016/j.agsy.2024.104068","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>Amid an uncertain future with increasing environmental, economic, social, and institutional challenges, farmers in Germany need to find strategies to become more resilient through capacities of robustness, adaptability, and transformability. Parallel to that, Community Supported Agriculture (CSA), an alternative food and value chain network in which producers and consumers share the risks involved in farming, is rapidly spreading in the country. CSA has the potential to address sustainability concerns while at the same time improving farm resilience.</p></div><div><h3>Objective</h3><p>The main objective of this study is to provide an understanding of how a CSA-structure on a farm may impact farm resilience. It also aims to investigate how CSA farmers in Germany perceive the resilience of their farms, its functions, and the challenges they may face in the future.</p></div><div><h3>Methods</h3><p>A mixed methodology was applied, consisting of a case study with one CSA farmer following the approach for a resilience assessment developed by <span><span>Meuwissen et al. (2019)</span></span>, and a survey with CSA farmers from Germany. The case study involved an in-depth interview, a resilience perception assessment and a Fuzzy-Cognitive-Mapping workshop, whose results were used as a starting point for developing the survey.</p></div><div><h3>Results and conclusion</h3><p>The case study revealed mechanisms for improving farm resilience through CSA, particularly through increased income security, risk protection, market independence, and satisfaction. These same resilience improving mechanisms could also be identified among the surveyed CSA farmers. Overall, CSA farmers showed a high level of perceived resilience in comparison to non-CSA farmers from a similar survey in a different study.</p></div><div><h3>Significance</h3><p>The study is the first of its kind to analyze CSA farmers in Germany through the lens of farm resilience theory. The study provides first insights to how transitioning to CSA affects the perceived resilience of farmers as well as underlying motivations. The results provide a strong indication that CSA could offer a viable strategy to help combat the resilience crisis, shedding thus a positive light on the current spread of the movement in Germany.</p></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"220 ","pages":"Article 104068"},"PeriodicalIF":6.1000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0308521X2400218X/pdfft?md5=33d8c15a95cb4a700699709b12a9c53d&pid=1-s2.0-S0308521X2400218X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Perceived resilience of community supported agriculture in Germany\",\"authors\":\"Anna Rosman , Joseph MacPherson , Marie Arndt , Katharina Helming\",\"doi\":\"10.1016/j.agsy.2024.104068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><p>Amid an uncertain future with increasing environmental, economic, social, and institutional challenges, farmers in Germany need to find strategies to become more resilient through capacities of robustness, adaptability, and transformability. Parallel to that, Community Supported Agriculture (CSA), an alternative food and value chain network in which producers and consumers share the risks involved in farming, is rapidly spreading in the country. CSA has the potential to address sustainability concerns while at the same time improving farm resilience.</p></div><div><h3>Objective</h3><p>The main objective of this study is to provide an understanding of how a CSA-structure on a farm may impact farm resilience. It also aims to investigate how CSA farmers in Germany perceive the resilience of their farms, its functions, and the challenges they may face in the future.</p></div><div><h3>Methods</h3><p>A mixed methodology was applied, consisting of a case study with one CSA farmer following the approach for a resilience assessment developed by <span><span>Meuwissen et al. (2019)</span></span>, and a survey with CSA farmers from Germany. The case study involved an in-depth interview, a resilience perception assessment and a Fuzzy-Cognitive-Mapping workshop, whose results were used as a starting point for developing the survey.</p></div><div><h3>Results and conclusion</h3><p>The case study revealed mechanisms for improving farm resilience through CSA, particularly through increased income security, risk protection, market independence, and satisfaction. These same resilience improving mechanisms could also be identified among the surveyed CSA farmers. Overall, CSA farmers showed a high level of perceived resilience in comparison to non-CSA farmers from a similar survey in a different study.</p></div><div><h3>Significance</h3><p>The study is the first of its kind to analyze CSA farmers in Germany through the lens of farm resilience theory. The study provides first insights to how transitioning to CSA affects the perceived resilience of farmers as well as underlying motivations. 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Perceived resilience of community supported agriculture in Germany
Context
Amid an uncertain future with increasing environmental, economic, social, and institutional challenges, farmers in Germany need to find strategies to become more resilient through capacities of robustness, adaptability, and transformability. Parallel to that, Community Supported Agriculture (CSA), an alternative food and value chain network in which producers and consumers share the risks involved in farming, is rapidly spreading in the country. CSA has the potential to address sustainability concerns while at the same time improving farm resilience.
Objective
The main objective of this study is to provide an understanding of how a CSA-structure on a farm may impact farm resilience. It also aims to investigate how CSA farmers in Germany perceive the resilience of their farms, its functions, and the challenges they may face in the future.
Methods
A mixed methodology was applied, consisting of a case study with one CSA farmer following the approach for a resilience assessment developed by Meuwissen et al. (2019), and a survey with CSA farmers from Germany. The case study involved an in-depth interview, a resilience perception assessment and a Fuzzy-Cognitive-Mapping workshop, whose results were used as a starting point for developing the survey.
Results and conclusion
The case study revealed mechanisms for improving farm resilience through CSA, particularly through increased income security, risk protection, market independence, and satisfaction. These same resilience improving mechanisms could also be identified among the surveyed CSA farmers. Overall, CSA farmers showed a high level of perceived resilience in comparison to non-CSA farmers from a similar survey in a different study.
Significance
The study is the first of its kind to analyze CSA farmers in Germany through the lens of farm resilience theory. The study provides first insights to how transitioning to CSA affects the perceived resilience of farmers as well as underlying motivations. The results provide a strong indication that CSA could offer a viable strategy to help combat the resilience crisis, shedding thus a positive light on the current spread of the movement in Germany.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.