• Land use and Renewable Resources

Institute for Biomass Research

With biomass as an energy source, the green circular economy is a significant step closer to realisation. The Institute for Biomass Research at HSWT in Triesdorf is conducting research into this.

Wood chips in a bowl on a laboratory bench

The Institute for Biomass Research at the HSWT

The Institute for Biomass Research was founded as part of the Northern Bavaria Initiative in March 2016 and is located in western Middle Franconia on the Triesdorf campus of the HSWT. It is also one of four institutes at the Centre for Research and Knowledge Transfer at Weihenstephan-Triesdorf University of Applied Sciences.

The Institute for Biomass Research is dedicated to the strategic goal of continuously advancing the material and energetic utilisation of biomass. As a knowledge and technology transfer centre, the institute links research and industry. It intensifies the numerous activities in the field of biomass in the West Middle Franconia region and beyond. The Institute for Biomass Research thus contributes to regional development and the strengthening of rural areas.

Research areas at the Institute for Biomass Research

Focus on biomass production

Focus on biomass utilisation

Research and transfer at the Institute for Biomass Research are intended to show ways for a successful economy with biomass, which is decoupled from the consumption of finite resources through innovations and fulfils the environmental and climate protection goals of our society. The research work on biomass utilisation takes place consistently along the value chain. They involve all stakeholders and take into account success factors such as acceptance, feasibility and compatibility of economy and ecology from the outset.

Focus on legal, social & economic aspects

The transformation towards a resource and environmentally-friendly economy with renewable resources („bioeconomy“) requires a rethink in all economic sectors in society and politics. In line with the cross-sectional research topic "Legal, societal and economic aspects" the Institute for Biomass Research wants to identify the necessary course settings in legislation and politics and show ways for a functioning combination of economic and societal goals.

Research Projects

Publications

  • Larsia Irlbeck, Sabine Brachmann, Paula Lauterwasser, Carmen Nebauer, Sandra Riesch, Sara Diana Leonhardt, Peer Urbatzka, Michael Rudner

    • Permissions:  Peer Reviewed

    Einfluss der Bewirtschaftung auf das Blütenangebot im Jahresverlauf – Ergebnisse des Projekts APART (2026) Vortrag und Artikel im Tagungsband der 18. Wissenschaftstagung Ökologischer Landbau - WiTa 26 , S. 216: 1-4.

    Land use determines the temporal and spatial patterns of flower resources in agricultural landscapes and has a considerable impact on insect populations. We studied the availability of floral resources throughout the year 2024 in two 1 km² study areas, that are organically farmed. The average flower density of selected plant species was quantified within a hexagonal raster (mesh size 100 m) over 14 time steps, based on flower counts. Grassland management is the most important factor for the availability of floral resources whereas arable land contributes very little. Linear structures such as strips along fields or paths are not important in terms of the number of flowers they provide, but they play an essential role in connecting patches with floral resources. Clover-herb mixtures can provide the same proportion of floral resources as grassland, especially in late summer.
  • Sandra Riesch, Sabine Brachmann, Larsia Irlbeck, Carmen Nebauer, Paula Lauterwasser, Juliane Tanz, Michael Rudner, Sara Diana Leonhardt, Peer Urbatzka

    • Permissions:  Peer Reviewed

    Monitoring von Bestäubern durch automatisierte Kameras in landwirtschaftlichen geprägten Landschaften (2026) Posterpräsentation und Artikel im Tagungsband der 18. Wissenschaftstagung Ökologischer Landbau - WiTa26 , S. 227: 1-4.

    Pollinators play an important role in agricultural systems. They enhance crop productivity and help maintain biodiversity. Understanding their abundance and diversity is essential for sustainable farming practices. We used an innovative approach to studying pollinators in agricultural landscapes using automated camera traps and artificial intelligence. Our study conducts a continuous assessment of different habitat structures to evaluate their impact on the abundance and taxonomic richness of key pollinator groups. The goal is to evaluate how changes throughout the year influence the abundance and diversity of pollinator groups in different habitats. The results emphasize the importance of diverse habitats, especially field margins, for maintaining pollinator diversity and activity during the vegetation period. AI correctly assigned over 90% of hoverflies, wasps, and honeybees to the correct taxa, while wild bees, butterflies, and bumblebees were identified less accurately. The camera-trap system shows potential for standardized pollinator monitoring in agricultural environments.
  • Lukas Wohnhas, Simon Walther

    • Permissions:  Peer Reviewed

    The RegioNatApp – a web-based GIS tool for analyzing the impact of agri-environmental measure placement on habitat connectivity (2026) Datenräume in der Land-, Forst- und Ernährungswirtschaft, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik 2026 Bandnummer TB P375 .

    The RegioNatApp is a web-based GIS prototype that helps farmers and advisors place biodiversity-promoting agricultural measures (BPAM) to optimize habitat connectivity. It computes Probability of Connectivity (PC) metrics in real time using regional habitat layers. On a test farm (18 fields; 72 equal-sized measures), spatial placement strongly affected outcomes: the best option per field increased dPC by a median of 503% relative to the worst, while only 37 measures provided stepping-stone value. The tool makes theoretical network metrics actionable, highlighting where equal effort yields disproportionate gains. Limitations include input-data quality, assumed dispersal distances, and simplified geometries. Future work targets linear elements, farm-wide and multi-farm optimization, and combining measures for cumulative effects.

Management

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