TY - JOUR A1 - Lorenz, Tommy A1 - Gerster, Lea A1 - Wodzinowski, Dustin Elias A1 - Wartenberg, Ariani A1 - Martetschläger, Lea A1 - Molitor, Heike A1 - Cremer, Tobias A1 - Bloch, Ralf T1 - Innovative Teaching and Learning Formats for the Implementation of Agroforestry Systems—An Impact Analysis after Five Years of Experience with the Real-World Laboratory “Ackerbaum” JF - Forests N2 - Since 2017, the Eberswalde University for Sustainable Development (HNEE) offers transformative learning modules in their curricula, which are called ITL—Innovative Teaching and Learning formats. Student tutors change into the role of teachers and organize lectures, excursions, and assignments at the Real-World Laboratory “Ackerbaum”—an agroforestry system in the federal state of Brandenburg, Germany. Students can learn about agroforestry systems, participate in research, and take practical action. The examination of the module is a scientific report linked to the experimental area. In this study, an attempt was made to verify the quality and impact of teaching formats in the ITL via the analysis of 53 reports created by 170 students as well as surveys among participants. For this purpose, indicators were formulated that capture the quality of scientific methods and the contribution to higher education for sustainable development. Students and tutors appreciate the open working atmosphere and the possibility to actively participate in the course; many leave the module motivated. Some even move toward transformation in agriculture professionally as, e.g., consultants in the field of agroforestry. As a transformative institution, HNEE offers with ITL a rare opportunity for practical application, scientific methods, and transdisciplinary collaboration with different stakeholders to work on future models to change today’s agriculture. KW - agroecology KW - education for sustainable development KW - interdisciplinarity KW - transdisciplinarity KW - transformative science KW - forestry Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:eb1-opus-3092 SN - 1999-4907 VL - 13 IS - 7 PB - MDPI ER - TY - JOUR A1 - Mouratiadou, Ioanna A1 - Lemke, Nahleen A1 - Chen, Cheng A1 - Wartenberg, Ariani A1 - Bloch, Ralf A1 - Donat, Marco A1 - Gaiser, Thomas A1 - Hanike Basavegowda, Deepak A1 - Helming, Katharina A1 - Ali Hosseini Yekani, Seyed A1 - Krull, Marcos A1 - Lingemann, Kai A1 - Macpherson, Joseph A1 - Melzer, Marvin A1 - Nendel, Claas A1 - Piorr, Annette A1 - Shaaban, Mostafa A1 - Zander, Peter A1 - Weltzien, Cornelia A1 - Bellingrath-Kimura, Sonoko Dorothea T1 - The Digital Agricultural Knowledge and Information System (DAKIS): Employing digitalisation to encourage diversified and multifunctional agricultural systems JF - Environmental Science and Ecotechnology N2 - Multifunctional and diversified agriculture can address diverging pressures and demands by simultaneously enhancing productivity, biodiversity, and the provision of ecosystem services. The use of digital technologies can support this by designing and managing resource-efficient and context-specific agricultural systems. We present the Digital Agricultural Knowledge and Information System (DAKIS) to demonstrate an approach that employs digital technologies to enable decision-making towards diversified and sustainable agriculture. To develop the DAKIS, we specified, together with stakeholders, requirements for a knowledge-based decision-support tool and reviewed the literature to identify limitations in the current generation of tools. The results of the review point towards recurring challenges regarding the consideration of ecosystem services and biodiversity, the capacity to foster communication and cooperation between farmers and other actors, and the ability to link multiple spatiotemporal scales and sustainability levels. To overcome these challenges, the DAKIS provides a digital platform to support farmers' decision-making on land use and management via an integrative spatiotemporally explicit approach that analyses a wide range of data from various sources. The approach integrates remote and in situ sensors, artificial intelligence, modelling, stakeholder-stated demand for biodiversity and ecosystem services, and participatory sustainability impact assessment to address the diverse drivers affecting agricultural land use and management design, including natural and agronomic factors, economic and policy considerations, and socio-cultural preferences and settings. Ultimately, the DAKIS embeds the consideration of ecosystem services, biodiversity, and sustainability into farmers' decision-making and enables learning and progress towards site-adapted small-scale multifunctional and diversified agriculture while simultaneously supporting farmers' objectives and societal demands. KW - Digital agriculture KW - Ecosystem services KW - Decision support system KW - Farming practices KW - Biodiversity KW - Modelling KW - Small-scale management Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:eb1-opus-8012 SN - 2666-4984 VL - 16 PB - Elsevier ER - TY - CHAP A1 - Bloch, Ralf A1 - Cremer, Tobias A1 - Wartenberg, Ariani A1 - Molitor, Heike A1 - Lorenz, Tommy T1 - Innovative Lehr- und Lernform zur Implementierung eines Agroforstsystems – 4 Jahre Erfahrungen aus dem Reallabor „Ackerbaum“ T2 - Nachhaltig wirken: Reallabore in der Transformation N2 - Das Wahlpflichtmodul Agroforst wird an der Hochschule für nachhaltige Entwicklung Eberswalde als innovative Lehr- und Lernform, kurz ILL, von Studierenden für Studierende durchgeführt. Im Sinne einer offenen Lehrwerkstatt ist das Modul interdisziplinär ausgerichtet und für Bachelor- und Masterstudierende verschiedener Studiengänge anwählbar. Die studentischen Tutor:innen werden von zwei Professoren der Hochschule begleitet. Angeschlossen an das Modul ist neben Vorträgen und Exkursionen die Forschung im Reallabor „Ackerbaum“ wodurch transdisziplinäres Arbeiten vermittelt wird. Dabei handelt es sich um eine knapp 10 Hektar große Ackerfläche im Löwenberger Land, nördlich von Berlin. Auf dem die Studierenden sowohl Bäume pflanzen, als auch deren Wachstum und ihre Effekte auf das Mikroklima und die Ackerkulturen, sowie den Boden beobachten und dokumentieren. Wissenschaftliche Unterstützung erhält das Projekt durch Wissenschaftler:innen der Universität Bonn und dem ZALF e.V., die gemeinsam im „Agrarsysteme der Zukunft-Projekt – DAKIS“ (https://adz- dakis.com/ueber-dakis/) daran arbeiten, die Auswirkungen von Agroforstsystemen auf Ökosystemleistungen und Biodiversität zu erfassen und zu bewerten. In den vergangenen 4 Jahren 2017 – 2021 wurden von den Studierenden über 50 Projektberichte erstellt. Diese wurden aufwändig analysiert und mittels vorher definierter Indikatoren klassifiziert. Um weitere Rückschlüsse auf die Qualität der studentischen Lehre ziehen zu können, wurde in Umfragen die Meinung und Zufriedenheit der Studierenden als auch der Tutor:innen anonym abgefragt und ausgewertet. Die Daten werden aktuell ausgewertet und die Analyse kann auf der Tagung vorgestellt werden. Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:eb1-opus-6736 N1 - Tagung, 2.-3. Juni 2022 in Karlsruhe ER -