Browsing by Person "Fick, Johanna"

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Integration von tiergesundheitsrelevanten Daten in betriebliche Managemententscheidungen
(2010) Fick, Johanna; Doluschitz, Reiner
For many years agriculture in Germany has been subject of changes due to economic, technical and social developments. These changes are structural, market and environmental induced. Livestock owner may react with increasing turnover and/or cost reduction to face the changes and to achieve sustained success in livestock farming. Expenditures for veterinarian and pharmaceuticals in dairy farming have a large share in the expenditures. Furthermore revenue losses due to animal diseases have to be added to the costs. Strategies to reduce costs and revenue losses can only lead to success if farmers and veterinarians act jointly. Basis for this can be an established digital information exchange between the process partners. Existing data of the process participants are used, consolidated and analysed in such a digital information exchange. Previous activities to improve the animal health were mostly partial solutions of individual members of the process chain. These are partial solutions due to the fact that the existing data are not brought together and that the use as an entity is not possible. The available software merges the animal health data and the animal performance data merely partial. The target of this research focuses on the integration of relevant data on animal health in operating management decisions by conception and development of an IT-model. This IT-model links relevant but distributed, incomplete, and redundant animal health data of the process participants (farmer, veterinarians, and professional associations) in livestock farming. So this contribution shall improve the use of animal health and animal performance data. Thereby issues of veterinary medicine and dairy farming will be joined by using information technology (IT). The procedure is structured in drafting the principles, an analysis of the status quo, and a market- and potential analysis consisting the use and application of sector software by farmers and veterinarians. It is followed by the conception and development of the animal health system and the conception of the implementation with a first product test. To answer the research questions of this paper a process model has been developed which was used as methodical frame. Different explanation strategies were necessary and therefore qualitative and quantitative methods of social research were used.
Investigating potential transferability of place-based research in land system science
(2016) Václavík, Tomáš; Langerwisch, Fanny; Cotter, Marc; Fick, Johanna; Häuser, Inga; Hotes, Stefan; Kamp, Johannes; Settele, Josef; Spangenberg, Joachim H; Seppelt, Ralf
Much of our knowledge about land use and ecosystem services in interrelated social-ecological systems is derived from place-based research. While local and regional case studies provide valuable insights, it is often unclear how relevant this research is beyond the study areas. Drawing generalized conclusions about practical solutions to land management from local observations and formulating hypotheses applicable to other places in the world requires that we identify patterns of land systems that are similar to those represented by the case study. Here, we utilize the previously developed concept of land system archetypes to investigate potential transferability of research from twelve regional projects implemented in a large joint research framework that focus on issues of sustainable land management across four continents. For each project, we characterize its project archetype, i.e. the unique land system based on a synthesis of more than 30 datasets of land-use intensity, environmental conditions and socioeconomic indicators. We estimate the transferability potential of project research by calculating the statistical similarity of locations across the world to the project archetype, assuming higher transferability potentials in locations with similar land system characteristics. Results show that areas with high transferability potentials are typically clustered around project sites but for some case studies can be found in regions that are geographically distant, especially when values of considered variables are close to the global mean or where the project archetype is driven by large-scale environmental or socioeconomic conditions. Using specific examples from the local case studies, we highlight the merit of our approach and discuss the differences between local realities and information captured in global datasets. The proposed method provides a blueprint for large research programs to assess potential transferability of place-based studies to other geographical areas and to indicate possible gaps in research efforts.