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  • Prof. Dr. Stefan Wittkopf

Professur für Holzenergie

Wir unterstützen die Lehre in den Studiengängen Management Erneuerbarer Energien und Forstingenieurwesen an der Hochschule Weihenstephan-Triesdorf und sind im dynamischen Sektor Holzenergie forschend tätig.

Mit dem Ziel der Weiterentwicklung von Lehre und Forschung arbeiten wir im Rahmen von Bachelorarbeiten, Forschungsprojekten und Lehrveranstaltungen mit verschiedenen Unternehmen und öffentlichen Einrichtungen zusammen. Hier eine Auswahl der bisherigen Kooperationspartner:

Leitung

Forschungsthemen

Forschungsprojekte

Publikationen

  • Huth Franka, Tischer Alexander, Nikolova Petia, Feldhaar Heike, Wehnert Alexandra, Hülsmann Lisa, Bauhus Jürgen, Heer Katrin, Vogt Juliane, Ammer Christian, Berger Uta, Bernhardt-Römermann Markus, Böhme Manuela, Bugmann Harald, Buse Jörn, Demant Laura, Dörfler Inken, Jörg Ewald, Feldmann Eike, Fichtner Andreas, Gossner Martin M., Grams Thorsten E. E., Häberle Karl-Heinz, Hagge Jonas, Hartmann Henrik, Herzog Sven, Kahmen Ansgar, Kohnle Ulrich, Krabel Doris, Krämer-Klement Klara, Kreyling Jürgen, Manthey Michael, Karl Mellert, Meyer Peter, Mölder Andreas, Muffler-Weigel Lena, Ohse Bettina, Opgenoorth Lars, Rewald Boris, Andreas Rothe, Ruehr Nadine, Scharnweber Tobias, Scherer-Lorenzen Michael, Schmeddes Jonas, Schmerbeck Joachim, Markus Schmidt, Seidel Dominik, Thomas Frank M., Tiebel Malin, von Oheimb Goddert, Wagner Sven, Weigel Robert, Wilmking Martin, Christian Zang, Schuldt Bernhard

    • Berechtigungen:  Open Access
    • Berechtigungen:  Peer Reviewed

    Ecological assessment of forest management approaches to develop resilient forests in the face of global change in Central Europe (2025) Basic and Applied Ecology 86 , S. 66-100.

    The effects of global change pose major challenges for both practical forest management and forest ecological research if European forests are to be managed in such a way that they can continue to provide their many services to people in the future. The number of studies on impacts of global change on forest ecosystems has increased enormously over the last decade, but the evidence on how to improve the resilience and resistance of forests is of varying quality and in some cases contradictory. For that reason a group of experts from the Ecological Society of Germany, Austria and Switzerland (GfOe), Section Forest Ecology decided to review the relevant scientific information and to assess its degree of confidence to provide guidance for future forest adaption options. Our review of research on the impact of global change on European forests and associated forest management strategies to adapt forests identified 35 scientific statements that were grouped into the following thematic priorities: (1) selection of tree species and promoting diversity, (2) genetics, (3) forest structures, (4) forest functions, ecosystem services and nature’s contribution to the lives of people, (5) silvicultural systems, (6) natural regeneration, successional processes and wildlife management, and (7) future research and monitoring methods. Our analyses showed that most of the statements reflect validated research findings. However, many of them were incomplete and would not yet allow transfer to broad application in the form of silvicultural adaptation strategies. Future studies should focus on the identification of climate-resilient tree species and provenances, their regeneration processes and their resistance to pathogens and pests under drought conditions. Species- and site-specific scientific findings must be translated into silvicultural techniques/ measures such as the determination of tree species mixtures, thinning and harvesting intensities and tree regeneration methods. We identified significant gaps in the application of forest monitoring practices needed to obtain reliable information on the provision of ecosystem goods and services. This review provides ahensive basis to develop a roadmap for future forest adaptation research to improve our level of confidence for science-based management recommendations.
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  • Thomas Lohrer

    Mai: Beobachten, vorbeugen, bekämpfen (2025) DEGA GALABAU 77 (5), S. 70-73.

  • Esther Baumann, Carl Beierkuhnlein, Anna Preitauer, Katrin Schmid, Michael Rudner

    • Berechtigungen:  Open Access
    • Berechtigungen:  Peer Reviewed

    Evaluating Remote Sensing Data as a Tool to Minimize Spatial Autocorrelation in In-Situ Vegetation Sampling (2025) Erdkunde 79 (1), S. 25-40. DOI: 10.3112/erdkunde.2025.01.02

    The distinction between geographical patterns caused by underlying environmental factors and inherent spatialautocorrelation is a general challenge for field research. The quality and validity of phytogeographical studies is strongly dependenton disentangling spatial and ecological proximity. This is also crucial for applied studies in nature conservation. Onekey assumption for many statistical analyses is the independence of observations. In this study we first identify the range ofspatial autocorrelation in managed grasslands based on field data. Along a gradient in a valley bottom, we set up five 60 mx 60 m squares, segmented in 36 10 m x 10 m square grid cells. In 20 of the 10 m x 10 m grid cells, we sampled vegetationalong a 10 m line with a buffer of one meter resulting in a 20 m² sampling plot. In a second step, we matched Sentinel-2 imagesfor the same locations and calculated the normalized difference vegetation index NDVI and the normalized differencered edge index NDRE. For both, field data and satellite data, Mantel correlograms for floristic distances and spectral indiceswere used to analyse the spatial autocorrelation. We found the vegetation in the studied grasslands to be spatially correlatedup to 25 m. At none of the studied sites the positive spatial autocorrelation reaches beyond. The spatial autocorrelation ofspectral indices correlates well with the correlations observed field data. The correlograms of NDVI resembled the ones ofthe field data slightly better compared to the correlograms of NDRE and RGB. We conclude that employing remote sensingto assess the role of spatial autocorrelation for grasslands is a valid approach. We show that it reflects similar patterns as thefield data. The spatial resolution of freely available satellite data proved sufficient to test for the minimum distance betweenvegetation samples to avoid spatial autocorrelation.
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  • Thomas Lohrer

    Diagnose Buchsbaumzünsler: Erfolgreiche Maßnahmen gegen gefräßige Raupen (2025) Vortrag auf den Gartentagen Weihenstephan Freising am 10. und 11. Mai 2025 in Freising .

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