ResEt-Fi

Development of multifunctional

forests on disturbed spruce stands

Innovative solution for damaged spruce areas

ResEt-Fi Logo zeigt Projektnamen in einer unteren grünen Welle eines Kreises und darüber einen Wald aus grafischen Nadel- und Laubwald und seinen Herausforderungen Trockenheit und Borkenkäfer © ResEt-Fi

In the recent years, spruce forests in Germany have largely died off due to extreme weather events and spruce bark beetle infestations. Since then, large clearings have dominate the landscape in many areas. But are these large-scale clearings of dead spruce stands ecologically desirable, economically reasonable and socially accepted? In the project ResEt-Fi, various management concepts for the development and promotion of multifunctional forests on disturbed spruce stands are tested and evaluated.

Involved institutions

  • Forstliches Forschungs- und Kompetenzzentrum Gotha (FFK Gotha), ThüringenForst – AöR
  • Georg-August-Universität Göttingen, Institut für Geographie; Abteilung Kartographie, GIS und Fernerkundung
  • Friedrich-Schiller-Universität Jena, Institut für Geographie, Professur Bodenkunde und Professur für Ökologie
  • Universität Bayreuth, Professur für Pilzökologie
  • Hessisches Landesamt für Naturschutz, Umwelt und Geologie
  • Technische Universität Dresden, Institut für Waldbau und Waldschutz, Professur für Waldbau
  • Technische Universität Dresden, Institut für Waldwachstum und Forstliche Informatik, Professur für Forstliche Biometrie und Systemanalyse

Project information

Modellregion

Thüringen


Laufzeit:

2023–2026 (Phase 1),

2026–2028 (Phase 2)

Förderkennzeichen:

033L304A-F


Publications

Putzenlechner, B., Grieger, S., Czech, C., Koal, P. (2025):

Post-disturbance treatment effects on microclimate and vegetation recovery on Norway spruce calamity areas from in situ and UAV-based monitoring. Forest Ecology and Management. 597, 123131, 20 p.

https://doi.org/10.1016/j.foreco.2025.123131


Grieger, S., Kappas, M., Karel, S., Koal, P., Koukal, T., Löw, M., Zwanzig, M., Putzenlechner, B. (2025):

Impact of forest disturbance derived from Sentinel-2 time series on Landsat 8/9 land surface temperature: The case of Norway spruce in Central Germany. ISPRS Journal of Photogrammetry and Remote Sensing. 228, p. 388-407, 20 p.

https://doi.org/10.1016/j.isprsjprs.2025.07.006


Steinebrunner, F., Tischer, A., Medicus, T., Huth, F., & Bernhardt-Römermann, M. (2025):

The effects of deadwood on tree regeneration and microsites: A systematic review. Forest Ecology and Management, 596, 123096.

https://doi.org/10.1016/j.foreco.2025.123096


Putzenlechner, B., Bevern, F., Koal, P., Grieger, S., Kappas, M., Koukal, T., Löw, M., Filipponi, F. (2024):

Accuracy assessment of LAI, PAI and FCOVER from Sentinel-2 and GEDI for monitoring forests and their disturbance in Central Germany. European Journal of Remote Sensing. 57, 1, 19 p.

https://doi.org/10.1080/22797254.2024.2422323


General Documentation


Map section

ResEt-Fi is located in the model region of Thuringia and is connected beyond state borders.

ResET-Fi

Göttingen

Georg-August-Universität, Institut für Geographie; Abteilung Kartographie, GIS und Fernerkundung

ResET-Fi

Wiesbaden

Hessisches Landesamt für Naturschutz, Umwelt und Geologie

ResET-Fi

Gotha

Forstliches Forschungs- und Kompetenzzentrum/Thüringen Forst 

ResET-Fi

Jena

Friedrich-Schiller-Universität, Institut für Geographie, Professur Bodenkunde und Professur für Ökologie

ResET-Fi

Bayreuth

Universität Bayreuth, Professur für Pilzökologie

ResET-Fi

“LabForest” uses the possibilities of the university forest of the LMU Munich as a real laboratory to compare the forestry and timber industry effects of different management options in connection with the effects of climate risks and to evaluate their effects on biodiversity and important ecosystem services.

Technische Universität Dresden, Institut für Waldbau und Waldschutz, Professur für Waldbau, Institut für Waldwachstum und Forstliche Informatik, Professur für Forstliche Biometrie und Systemanalyse

Map section

ResEt-Fi is located in the model region of Thuringia and is connected beyond state borders.

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