Lehrforst Rosalia – Long-term forest monitoring for improved ecosystem understanding

Generating long-term ecological data is essential for understanding how ecosystems respond to environmental stressors and is a core motivation of the eLTER research infrastructure. At Lehrforst Rosalia, a forest site in eastern Austria, we conduct ecological monitoring using a heavily instrumented infrastructure, which we will introduce in this presentation. Our observations integrate novel methods to investigate geosphere, hydrosphere, atmosphere and biosphere components of the ecosystem. The role of soils for the production and consumption of greenhouse gases is examined with automated chamber measurements and continuous monitoring of soil environmental parameters. Atmospheric measurements include classical weather stations and eddy covariance measurements of CO 2 , water vapour and energy fluxes above the forest canopy. Hydrological processes are studied with a nested catchment approach with continuous monitoring in four gauging stations and point observations. Vegetation is assessed digitally with terrestrial laser scanning and biodiversity is monitored with classical methods assisted with novel techniques (e.g. malaise traps combined with artificial intelligence for identification). Overall, we integrate observations at different scales and specific foci, allowing for a whole system approach. Thus, we can address critical challenges, such as forest responses to global change, including impacts on energy and matter fluxes in the soil-water-plant-atmosphere continuum, plant and soil response to extreme events and biodiversity changes.

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Publication Details

Journal
ARPHA Conference Abstracts
Published
2025-05-28
DOI
https://doi.org/10.3897/aca.8.e149587
Primary Topic
Forest Ecology and Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Lehrforst Rosalia – Long-term forest monitoring for improved ecosystem understanding

Helmut Schume, Arne Nothdurft, Harald Meimberg, Bano Mehdi et al.
ARPHA Conference Abstracts
Forest Ecology and Biodiversity Studies
article

Lehrforst Rosalia – Long-term forest monitoring for improved ecosystem understanding

Helmut Schume, Arne Nothdurft, Harald Meimberg, Bano Mehdi, Christoph Gollob, Dylan Goff, Sophie Zechmeister‐Boltenstern, Eugenio Díaz‐Pinés, Michael Stockinger, Karsten Schulz, Christine Stumpp
article en

Abstract

Generating long-term ecological data is essential for understanding how ecosystems respond to environmental stressors and is a core motivation of the eLTER research infrastructure. At Lehrforst Rosalia, a forest site in eastern Austria, we conduct ecological monitoring using a heavily instrumented infrastructure, which we will introduce in this presentation. Our observations integrate novel methods to investigate geosphere, hydrosphere, atmosphere and biosphere components of the ecosystem. The role of soils for the production and consumption of greenhouse gases is examined with automated chamber measurements and continuous monitoring of soil environmental parameters. Atmospheric measurements include classical weather stations and eddy covariance measurements of CO 2 , water vapour and energy fluxes above the forest canopy. Hydrological processes are studied with a nested catchment approach with continuous monitoring in four gauging stations and point observations. Vegetation is assessed digitally with terrestrial laser scanning and biodiversity is monitored with classical methods assisted with novel techniques (e.g. malaise traps combined with artificial intelligence for identification). Overall, we integrate observations at different scales and specific foci, allowing for a whole system approach. Thus, we can address critical challenges, such as forest responses to global change, including impacts on energy and matter fluxes in the soil-water-plant-atmosphere continuum, plant and soil response to extreme events and biodiversity changes.

ARPHA Conference AbstractsVol. 8
Institute of Forest Ecology of the Slovak Academy of Sciences (SK), BOKU University (AT)
Bundesministerium für Bildung, Wissenschaft und Forschung, Horizon 2020
Openalex Percentile: Top 67%
Forest Ecology and Biodiversity Studies
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