Dr. Marius Michels untersucht, wie Landwirtinnen und Landwirte auf die Umnutzung ihrer Flächen für Klimaschutzmaßnahmen reagieren – konkret am Beispiel der Wiedervernässung von Mooren und der Etablierung von Paludikulturen. Seine Forschung identifiziert, welche wirtschaftlichen, sozialen und institutionellen Bedingungen eine erfolgreiche Umsetzung solcher Maßnahmen begünstigen. Für Unternehmen, Behörden und Verbände liefert diese Arbeit evidenzbasierte Erkenntnisse darüber, wie Klimaschutzprojekte in der Landwirtschaft praktisch umgesetzt werden können – von der Akzeptanzförderung bis zur Geschäftsmodellentwicklung. Die Ergebnisse sind relevant für Agrarverbände, Umweltbehörden, Projektentwickler im Bereich Moorschutz und Unternehmen, die in nachhaltige Landnutzung investieren.
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Dr. Marius Michels
HU-FIS-Profil ↗Das von der Landwirtschaftlichen Rentenbank geförderte Forschungsprojekt untersucht, wie landwirtschaftliche Betriebe auf die Umnutzung von Moorflächen für Klimaschutzmaßnahmen reagieren und welche Bedingungen eine erfolgreiche Umsetzung begünstigen. Im Zentrum stehen die Wiedervernässung landwirtschaftlich genutzter Moore sowie die Etablierung von Paludikulturen als potenziell wirtschaftlich tragfähige Nachnutzungsoption. Das Vorhaben prüft, wie attraktiv ein Kompensationsmechanismus für die Bereitstellung von Flächen zur Wiedervernässung für Landwirtinnen und Landwirte ist und welche Eigenschaften des Kompensationsmechanismus für ihre Teilnahmebereitschaft ausschlaggebend sind. Darüber hinaus soll erfasst werden, welche Fähigkeiten, Rahmenbedingungen sowie Motivationen Betriebe für die Einführung von Paludikulturen benötigen und an welchen Stellen gezielte Unterstützung erforderlich ist. Das Projekt verfolgt das Ziel, praxisorientierte Empfehlungen für effizient gestaltete Kompensationsmechanismen und bedarfsgerechte Unterstützungsangebote zu entwickeln, um Moorwiedervernässung ökonomisch tragfähig und gesellschaftlich wirksam zu gestalten. Die Ergebnisse sollen einen Beitrag zur Erreichung nationaler und europäischer Klimaschutzziele leisten, indem sie evidenzbasierte Grundlagen für Förderpolitik und Transformationsstrategien im landwirtschaftlichen Agrarsektor bereitstellen.
Journal of Environmental Management · DOI
Germany employs stringent nitrogen regulations through designated "red areas" under §13a of the German Fertilizer Ordinance. Limited research has examined farmer perspectives and adaptation strategies under such prescriptive regulatory conditions. This study examined farmers' perceptions and adaptation strategies in response to nitrogen regulations in Germany's red areas, seeking to: (1) identify distinct farmer viewpoints regarding regulatory impacts across ecological, economic, and social dimensions; (2) document adaptations implemented by farmers; and (3) explore farmer perspectives on alternative regulatory approaches. A mixed-methods study combining Q-methodology with qualitative interviews was conducted with 24 conventional farm managers in Lower Saxony, Germany. Q-methodology employed 25 statements across three sustainability dimensions. Analysis revealed two distinct farmer perspectives explaining 59.4 % of variance: Factor 1 (Environmental Effectiveness Skepticism, 31.5 % variance) characterized by skepticism about environmental benefits and administrative concerns; and Factor 2 (Economic Planning and Farm-Specific Flexibility, 27.9 % variance) emphasizing economic planning challenges and need for farm-specific approaches. Both groups showed consensus on administrative burden, regulatory stringency, economic disadvantages, and exclusion from decision-making. Farmers implemented adaptations including technology investments, modified cropping patterns, and altered fertilization strategies. Nearly all participants preferred increased regulatory flexibility, favoring farm-level nitrogen quotas and weather-responsive timing. This research provides empirical evidence that increasingly prescriptive nitrogen policies generate substantial adaptation but also resistance rooted in perceived ineffectiveness. Effective nitrogen management requires collaborative approaches balancing mandatory requirements with farm-specific flexibility, potentially achieving better environmental outcomes than increased stringency alone.
Smart Agricultural Technology · DOI
Existing research predominantly focuses on individual precision agriculture technologies (PAT) adoption decisions, offering limited insight into how technologies are combined, how adoption intensity varies across farms and which farm and farmer characteristics differentiate adoption patterns. Against this background, this study identifies farm types that reflect different levels of PAT integration based on the adoption intensity of 32 technologies and examines the observed structure of technology co-adoption. Based on a stratified random-sampling process, survey data from 342 German arable farms were collected via computer-assisted telephone interviews between December 2024 and January 2025. We combine cluster analysis and technology-level network analysis to jointly assess farm-level heterogeneity and patterns of technology co-adoption. The results reveal two farm types that differ primarily in overall PAT adoption intensity rather than domain-specific technology specialization, with systematic differences in farm and farmer characteristics between types. Network analysis identifies a stable technological core centered on guidance and application control technologies, which connect multiple technology domains, while robotic technologies represent a structurally distinct cluster within the broader PAT co-adoption network. Overall, the findings are consistent with technological integration logics, with differences reflecting levels of integration rather than divergent strategies. The results offer actionable implications for technology providers, advisory services, and policymakers seeking to support PAT adoption.
Journal of Rural Studies · DOI
This study examines the factors shaping members' perceived resilience of German agricultural marketing cooperatives. Drawing on resilience theory, we analyze how the resilience capacities robustness, adaptability, and transformability contribute to members' perceived resilience, and how values and principles of cooperative entities are associated with these capacities. Using partial least squares structural equation modeling (PLS-SEM), we analyze survey data collected online in 2024 from 144 members of German agricultural marketing cooperatives. The results show that perceived robustness, adaptability, and transformability are all positively associated with members' perceived resilience of the cooperative. The values and principles of the cooperative exhibit strong positive associations with all three resilience capacities, indicating that the cooperative model plays an important role in shaping resilience perceptions indirectly through these capacities. While the three traditional resilience capacities remain central to perceived resilience, the findings highlight that value-based governance and member-centered organizational characteristics are key mechanisms through which cooperatives foster confidence in their resilience. These results have important implications for co-op management, suggesting that reinforcing the values and principles of the cooperative while simultaneously developing balanced resilience strategies can strengthen members’ confidence in their organizations. This is especially crucial since cooperatives account for approximately 40% of the agricultural market share in the European Union. • Cooperatives have substantial market share in European Union's agricultural sector. • Members perceive resilience as a combination of robustness, adaptability, and transformability in agricultural marketing cooperatives. • Cooperative values and principles strongly reinforce all three resilience capacities from a member perspective. • Perceived resilience is shaped indirectly by cooperative values through resilience capacities rather than directly.