Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-685-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-685-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
High-resolution carbon cycling data from 2019 to 2021 measured at six Austrian long-term ecosystem research sites
Thomas Dirnböck
CORRESPONDING AUTHOR
Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
Michael Bahn
Department of Ecology, Universität Innsbruck, Innrain 52, 6020 Innsbruck, Austria
Eugenio Diaz-Pines
Institute of Soil Research, Department of Forest and Soil Sciences, BOKU University, Peter-Jordan-Straße 82, 1190 Vienna, Austria
Ika Djukic
Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
Michael Englisch
Austrian Research Centre for Forests, Seckendorff-Gudent Weg 8, 1131 Vienna, Austria
Karl Gartner
Austrian Research Centre for Forests, Seckendorff-Gudent Weg 8, 1131 Vienna, Austria
Günther Gollobich
Austrian Research Centre for Forests, Seckendorff-Gudent Weg 8, 1131 Vienna, Austria
Johannes Ingrisch
Department of Ecology, Universität Innsbruck, Innrain 52, 6020 Innsbruck, Austria
Barbara Kitzler
Austrian Research Centre for Forests, Seckendorff-Gudent Weg 8, 1131 Vienna, Austria
Karl Knaebel
Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
Johannes Kobler
Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
Andreas Maier
Department of Geography and Regional Research, Faculty of Earth Sciences, Geography and Astronomy, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria
Armin Malli
Austrian Research Centre for Forests, Seckendorff-Gudent Weg 8, 1131 Vienna, Austria
Ivo Offenthaler
Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
Johannes Peterseil
Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
Gisela Pröll
Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
Sarah Venier
Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
Christoph Wohner
Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
Sophie Zechmeister-Boltenstern
Institute of Soil Research, Department of Forest and Soil Sciences, BOKU University, Peter-Jordan-Straße 82, 1190 Vienna, Austria
Anita Zolles
Austrian Research Centre for Forests, Seckendorff-Gudent Weg 8, 1131 Vienna, Austria
Stephan Glatzel
Department of Geography and Regional Research, Faculty of Earth Sciences, Geography and Astronomy, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria
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Pamela Alessandra Baur, Thiago Rodrigues-Oliveira, Karin Hager, Zhen-Hao Luo, Christa Schleper, and Stephan Glatzel
Biogeosciences, 22, 4467–4490, https://doi.org/10.5194/bg-22-4467-2025, https://doi.org/10.5194/bg-22-4467-2025, 2025
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In the subsaline reed wetland of Lake Neusiedl, we found the highest CH4 emissions in summer and via plant-mediated transport in each season. A clear diel cycle of CH4 emission was only identified for plant-mediated transport in summer. The isotopic source signature of CH4 differed between seasons, with the most 13C-depleted signature in fall. Desiccation reduced methanogenic diversity in the sediments and resulted in a marked increase in and dominance of the O2-tolerant Methanomicrobiales.
Marco M. Lehmann, Josie Geris, Ilja van Meerveld, Daniele Penna, Youri Rothfuss, Matteo Verdone, Pertti Ala-Aho, Matyas Arvai, Alise Babre, Philippe Balandier, Fabian Bernhard, Lukrecija Butorac, Simon Damien Carrière, Natalie C. Ceperley, Zuosinan Chen, Alicia Correa, Haoyu Diao, David Dubbert, Maren Dubbert, Fabio Ercoli, Marius G. Floriancic, Teresa E. Gimeno, Damien Gounelle, Frank Hagedorn, Christophe Hissler, Frédéric Huneau, Alberto Iraheta, Tamara Jakovljević, Nerantzis Kazakis, Zoltan Kern, Karl Knaebel, Johannes Kobler, Jiří Kocum, Charlotte Koeber, Gerbrand Koren, Angelika Kübert, Dawid Kupka, Samuel Le Gall, Aleksi Lehtonen, Thomas Leydier, Philippe Malagoli, Francesca Sofia Manca di Villahermosa, Chiara Marchina, Núria Martínez-Carreras, Nicolas Martin-StPaul, Hannu Marttila, Aline Meyer Oliveira, Gaël Monvoisin, Natalie Orlowski, Kadi Palmik-Das, Aurel Persoiu, Andrei Popa, Egor Prikaziuk, Cécile Quantin, Katja T. Rinne-Garmston, Clara Rohde, Martin Sanda, Matthias Saurer, Daniel Schulz, Michael Paul Stockinger, Christine Stumpp, Jean-Stéphane Venisse, Lukas Vlcek, Stylianos Voudouris, Björn Weeser, Mark E. Wilkinson, Giulia Zuecco, and Katrin Meusburger
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-409, https://doi.org/10.5194/essd-2024-409, 2024
Revised manuscript under review for ESSD
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This study describes a unique large-scale isotope dataset to study water dynamics in European forests. Researchers collected data from 40 beech and spruce forest sites in spring and summer 2023, using a standardized method to ensure consistency. The results show that water sources for trees change between seasons and vary by tree species. This large dataset offers valuable information for understanding plant water use, improving ecohydrological models, and mapping water cycles across Europe.
Lauren M. Gillespie, Nathalie Y. Triches, Diego Abalos, Peter Finke, Sophie Zechmeister-Boltenstern, Stephan Glatzel, and Eugenio Díaz-Pinés
SOIL, 9, 517–531, https://doi.org/10.5194/soil-9-517-2023, https://doi.org/10.5194/soil-9-517-2023, 2023
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Forest soil is potentially an important source or sink of greenhouse gases (CO2, N2O, and CH4), but this is affected by soil conditions. We studied how land inclination and soil/litter properties influence the flux of these gases. CO2 and N2O were more affected by inclination than CH4; all were affected by soil/litter properties. This study underlines the importance of inclination and soil/litter properties in predicting greenhouse gas fluxes from forest soil and potential source–sink balance.
Julia Fohrafellner, Sophie Zechmeister-Boltenstern, Rajasekaran Murugan, and Elena Valkama
SOIL, 9, 117–140, https://doi.org/10.5194/soil-9-117-2023, https://doi.org/10.5194/soil-9-117-2023, 2023
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The number of meta-analyses in agriculture and soil sciences is continuously rising, but they are often of poor quality. We quantitatively analyzed the quality of 31 meta-analyses studying the effects of different management practices on soil organic carbon (SOC). We found that only one meta-analysis on no tillage/reduced tillage obtained a high score. New or improved meta-analyses on the effects of organic agriculture, biochar, fertilization, and crop diversification on SOC are urgently needed.
Xin Yu, René Orth, Markus Reichstein, Michael Bahn, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Mirco Migliavacca, Martina Mund, Jacob A. Nelson, Benjamin D. Stocker, Sophia Walther, and Ana Bastos
Biogeosciences, 19, 4315–4329, https://doi.org/10.5194/bg-19-4315-2022, https://doi.org/10.5194/bg-19-4315-2022, 2022
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Identifying drought legacy effects is challenging because they are superimposed on variability driven by climate conditions in the recovery period. We develop a residual-based approach to quantify legacies on gross primary productivity (GPP) from eddy covariance data. The GPP reduction due to legacy effects is comparable to the concurrent effects at two sites in Germany, which reveals the importance of legacy effects. Our novel methodology can be used to quantify drought legacies elsewhere.
Niel Verbrigghe, Niki I. W. Leblans, Bjarni D. Sigurdsson, Sara Vicca, Chao Fang, Lucia Fuchslueger, Jennifer L. Soong, James T. Weedon, Christopher Poeplau, Cristina Ariza-Carricondo, Michael Bahn, Bertrand Guenet, Per Gundersen, Gunnhildur E. Gunnarsdóttir, Thomas Kätterer, Zhanfeng Liu, Marja Maljanen, Sara Marañón-Jiménez, Kathiravan Meeran, Edda S. Oddsdóttir, Ivika Ostonen, Josep Peñuelas, Andreas Richter, Jordi Sardans, Páll Sigurðsson, Margaret S. Torn, Peter M. Van Bodegom, Erik Verbruggen, Tom W. N. Walker, Håkan Wallander, and Ivan A. Janssens
Biogeosciences, 19, 3381–3393, https://doi.org/10.5194/bg-19-3381-2022, https://doi.org/10.5194/bg-19-3381-2022, 2022
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In subarctic grassland on a geothermal warming gradient, we found large reductions in topsoil carbon stocks, with carbon stocks linearly declining with warming intensity. Most importantly, however, we observed that soil carbon stocks stabilised within 5 years of warming and remained unaffected by warming thereafter, even after > 50 years of warming. Moreover, in contrast to the large topsoil carbon losses, subsoil carbon stocks remained unaffected after > 50 years of soil warming.
Susannah Rennie, Klaus Goergen, Christoph Wohner, Sander Apweiler, Johannes Peterseil, and John Watkins
Earth Syst. Sci. Data, 13, 631–644, https://doi.org/10.5194/essd-13-631-2021, https://doi.org/10.5194/essd-13-631-2021, 2021
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This paper describes a pan-European climate service data product intended for ecological researchers. Access to regional climate scenario data will save ecologists time, and, for many, it will allow them to work with data resources that they will not previously have used due to a lack of knowledge and skills to access them. Providing easy access to climate scenario data in this way enhances long-term ecological research, for example in general regional climate change or impact assessments.
Jan Pisek, Angela Erb, Lauri Korhonen, Tobias Biermann, Arnaud Carrara, Edoardo Cremonese, Matthias Cuntz, Silvano Fares, Giacomo Gerosa, Thomas Grünwald, Niklas Hase, Michal Heliasz, Andreas Ibrom, Alexander Knohl, Johannes Kobler, Bart Kruijt, Holger Lange, Leena Leppänen, Jean-Marc Limousin, Francisco Ramon Lopez Serrano, Denis Loustau, Petr Lukeš, Lars Lundin, Riccardo Marzuoli, Meelis Mölder, Leonardo Montagnani, Johan Neirynck, Matthias Peichl, Corinna Rebmann, Eva Rubio, Margarida Santos-Reis, Crystal Schaaf, Marius Schmidt, Guillaume Simioni, Kamel Soudani, and Caroline Vincke
Biogeosciences, 18, 621–635, https://doi.org/10.5194/bg-18-621-2021, https://doi.org/10.5194/bg-18-621-2021, 2021
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Understory vegetation is the most diverse, least understood component of forests worldwide. Understory communities are important drivers of overstory succession and nutrient cycling. Multi-angle remote sensing enables us to describe surface properties by means that are not possible when using mono-angle data. Evaluated over an extensive set of forest ecosystem experimental sites in Europe, our reported method can deliver good retrievals, especially over different forest types with open canopies.
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Short summary
Long-term observation sites have been established in six Austrian locations, covering major ecosystem types such as forests, grasslands, and wetlands. The purpose of these observations is to measure baselines for assessing the impacts of extreme climate events on the carbon cycle. The collected datasets include meteorological variables, soil temperature and moisture, carbon dioxide fluxes, and tree stem growth in forests at a resolution of 15–60 min between 2019 and 2021.
Long-term observation sites have been established in six Austrian locations, covering major...
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