Browsing by Person "Thumm, Ulrich"

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    An adapted indicator framework for evaluating the potential contribution of bioeconomy approaches to agricultural systems resilience
    (2024) Lewandowski, Iris; von Cossel, Moritz; Winkler, Bastian; Bauerle, Andrea; Gaudet, Nicole; Kiesel, Andreas; Lewin, Eva; Magenau, Elena; Marting Vidaurre, Nirvana Angela; Müller, Benedikt; Schlecht, Valentin; Thumm, Ulrich; Trenkner, Marielle; Vargas‐Carpintero, Ricardo; Weickert, Sebastian; Weik, Jan; Reinmuth, Evelyn; Lewandowski, Iris; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; von Cossel, Moritz; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Winkler, Bastian; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Bauerle, Andrea; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Gaudet, Nicole; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Kiesel, Andreas; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Lewin, Eva; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Magenau, Elena; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Marting Vidaurre, Nirvana Angela; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Müller, Benedikt; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Schlecht, Valentin; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Thumm, Ulrich; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Trenkner, Marielle; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Vargas‐Carpintero, Ricardo; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Weickert, Sebastian; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Weik, Jan; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany; Reinmuth, Evelyn; Biobased Resources in the Bioeconomy (340b), Institute of Crop Science, University of Hohenheim, Fruwirthstr. 23, Stuttgart, Germany
    This study reviews a variety of “bioeconomy approaches” (BAs) to assess their potential contribution to resilience in agricultural systems, focusing on benefits that can improve multi‐functionality regarding private and public goods. It is based on Meuwissen et al.'s framework to assess the resilience of farming systems. Drawing on literature and expert knowledge, this indicator framework is adapted to develop a new framework which is then applied to seven contrasting BAs (miscanthus, perennial flowering wild plant mixtures, permanent grassland, nutrient recycling, agrivoltaics, urban agriculture, and microalgae). The major outcomes are: 1) the extended indicator framework can help evaluate BAs for their potential to foster resilience in future agricultural systems, 2) all BAs are characterized by their ability to provide multiple private and public goods simultaneously, 3) the strongest contribution of BAs to public goods is their function in maintaining the good condition of natural resources and resource‐use efficiency, 4) all BAs can enhance resilience in agricultural systems by contributing diversity, multifunctionality, environmental sustainability, and autonomy, 5) the mitigation of potential drawbacks of BAs implementation requires ex‐ante assessment, favorable BAs combinations, and stakeholder involvement, 6) context‐specific analysis of each BAs is required to assess their qualitative and quantitative contribution to resilience.
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    Effects of land-use intensity on functional community composition and nutrient dynamics in grassland
    (2024) Walter, Julia; Thumm, Ulrich; Buchmann, Carsten M.; Heinonen-Tanski, Helvi
    Land-use intensity drives productivity and ecosystem functions in grassland. The effects of long-term land-use intensification on plant functional community composition and its direct and indirect linkages to processes of nutrient cycling are largely unknown. We manipulated mowing frequency and nitrogen inputs in an experiment in temperate grassland over ten years. We assessed changes in species composition and calculated functional diversity (FDis) and community weighted mean (CWM) traits of specific leaf area (SLA), leaf dry matter content (LDMC) and leaf and root nitrogen of the plant community, using species-specific trait values derived from databases. We assessed above- and belowground decomposition and soil respiration. Plant diversity strongly decreased with increasing land-use intensity. CWM leaf nitrogen and SLA decreased, while CWM LDMC increased with land-use intensification, which could be linked to an increased proportion of graminoid species. Belowground processes were largely unaffected by land-use intensity. Land use affected aboveground litter composition directly and indirectly via community composition. Mowing frequency, and not a land-use index combining mowing frequency and fertilization, explained most of the variation in litter decomposition. Our results show that land-use intensification not only reduces plant diversity, but that these changes also affect nutrient dynamics.