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15 results on '"Krejza, Jan"'

1. Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe

Author

Jevšenak, Jernej, Klisz, Marcin, Mašek, Jiří, Čada, Vojtěch, Janda, Pavel, Svoboda, Miroslav, Vostarek, Ondřej, Treml, Vaclav, van der Maaten, Ernst, Popa, Andrei, Popa, Ionel, van der Maaten-Theunissen, Marieke, Zlatanov, Tzvetan, Scharnweber, Tobias, Ahlgrimm, Svenja, Stolz, Juliane, Sochová, Irena, Roibu, Cătălin Constantin, Pretzsch, Hans, Schmied, Gerhard, Uhl, Enno, Kaczka, Ryszard, Wrzesiński, Piotr, Šenfeldr, Martin, Jakubowski, Marcin, Tumajer, Jan, Wilmking, Martin, Obojes, Nikolaus, Rybníček, Michal, Lévesque, Mathieu, Potapov, Aleksei, Basu, Soham, Stojanović, Marko, Stjepanović, Stefan, Vitas, Adomas, Arnič, Domen, Metslaid, Sandra, Neycken, Anna, Prislan, Peter, Hartl, Claudia, Ziche, Daniel, Horáček, Petr, Krejza, Jan, Mikhailov, Sergei, Světlík, Jan, Kalisty, Aleksandra, Kolář, Tomáš, Lavnyy, Vasyl, Hordo, Maris, Oberhuber, Walter, Levanič, Tom, Mészáros, Ilona, Schneider, Lea, Lehejček, Jiří, Shetti, Rohan, Bošeľa, Michal, Copini, Paul, Koprowski, Marcin, Sass-Klaassen, Ute, Izmir, Şule Ceyda, Bakys, Remigijus, Entner, Hannes, Esper, Jan, Janecka, Karolina, Martinez del Castillo, Edurne, Verbylaite, Rita, Árvai, Mátyás, de Sauvage, Justine Charlet, Čufar, Katarina, Finner, Markus, Hilmers, Torben, Kern, Zoltán, Novak, Klemen, Ponjarac, Radenko, Puchałka, Radosław, Schuldt, Bernhard, Škrk Dolar, Nina, Tanovski, Vladimir, Zang, Christian, Žmegač, Anja, Kuithan, Cornell, Metslaid, Marek, Thurm, Eric, Hafner, Polona, Krajnc, Luka, Bernabei, Mauro, Bojić, Stefan, Brus, Robert, Burger, Andreas, D'Andrea, Ettore, Đorem, Todor, Gławęda, Mariusz, Gričar, Jožica, Gutalj, Marko, Horváth, Emil, Kostić, Saša, Matović, Bratislav, Merela, Maks, Miletić, Boban, Morgós, András, Paluch, Rafał, Pilch, Kamil, Rezaie, Negar, Rieder, Julia, Schwab, Niels, Sewerniak, Piotr, Stojanović, Dejan, Ullmann, Tobias, Waszak, Nella, Zin, Ewa, Skudnik, Mitja, Oštir, Krištof, Rammig, Anja, Buras, Allan, Jevšenak, Jernej, Klisz, Marcin, Mašek, Jiří, Čada, Vojtěch, Janda, Pavel, Svoboda, Miroslav, Vostarek, Ondřej, Treml, Vaclav, van der Maaten, Ernst, Popa, Andrei, Popa, Ionel, van der Maaten-Theunissen, Marieke, Zlatanov, Tzvetan, Scharnweber, Tobias, Ahlgrimm, Svenja, Stolz, Juliane, Sochová, Irena, Roibu, Cătălin Constantin, Pretzsch, Hans, Schmied, Gerhard, Uhl, Enno, Kaczka, Ryszard, Wrzesiński, Piotr, Šenfeldr, Martin, Jakubowski, Marcin, Tumajer, Jan, Wilmking, Martin, Obojes, Nikolaus, Rybníček, Michal, Lévesque, Mathieu, Potapov, Aleksei, Basu, Soham, Stojanović, Marko, Stjepanović, Stefan, Vitas, Adomas, Arnič, Domen, Metslaid, Sandra, Neycken, Anna, Prislan, Peter, Hartl, Claudia, Ziche, Daniel, Horáček, Petr, Krejza, Jan, Mikhailov, Sergei, Světlík, Jan, Kalisty, Aleksandra, Kolář, Tomáš, Lavnyy, Vasyl, Hordo, Maris, Oberhuber, Walter, Levanič, Tom, Mészáros, Ilona, Schneider, Lea, Lehejček, Jiří, Shetti, Rohan, Bošeľa, Michal, Copini, Paul, Koprowski, Marcin, Sass-Klaassen, Ute, Izmir, Şule Ceyda, Bakys, Remigijus, Entner, Hannes, Esper, Jan, Janecka, Karolina, Martinez del Castillo, Edurne, Verbylaite, Rita, Árvai, Mátyás, de Sauvage, Justine Charlet, Čufar, Katarina, Finner, Markus, Hilmers, Torben, Kern, Zoltán, Novak, Klemen, Ponjarac, Radenko, Puchałka, Radosław, Schuldt, Bernhard, Škrk Dolar, Nina, Tanovski, Vladimir, Zang, Christian, Žmegač, Anja, Kuithan, Cornell, Metslaid, Marek, Thurm, Eric, Hafner, Polona, Krajnc, Luka, Bernabei, Mauro, Bojić, Stefan, Brus, Robert, Burger, Andreas, D'Andrea, Ettore, Đorem, Todor, Gławęda, Mariusz, Gričar, Jožica, Gutalj, Marko, Horváth, Emil, Kostić, Saša, Matović, Bratislav, Merela, Maks, Miletić, Boban, Morgós, András, Paluch, Rafał, Pilch, Kamil, Rezaie, Negar, Rieder, Julia, Schwab, Niels, Sewerniak, Piotr, Stojanović, Dejan, Ullmann, Tobias, Waszak, Nella, Zin, Ewa, Skudnik, Mitja, Oštir, Krištof, Rammig, Anja, and Buras, Allan

Abstract

To enhance our understanding of forest carbon sequestration, climate change mitigation and drought impact on forest ecosystems, the availability of high-resolution annual forest growth maps based on tree-ring width (TRW) would provide a significant advancement to the field. Site-specific characteristics, which can be approximated by high-resolution Earth observation by satellites (EOS), emerge as crucial drivers of forest growth, influencing how climate translates into tree growth. EOS provides information on surface reflectance related to forest characteristics and thus can potentially improve the accuracy of forest growth models based on TRW. Through the modelling of TRW using EOS, climate and topography data, we showed that species-specific models can explain up to 52 % of model variance (Quercus petraea), while combining different species results in relatively poor model performance (R2 = 13 %). The integration of EOS into models based solely on climate and elevation data improved the explained variance by 6 % on average. Leveraging these insights, we successfully generated a map of annual TRW for the year 2021. We employed the area of applicability (AOA) approach to delineate the range in which our models are deemed valid. The calculated AOA for the established forest-type models was 73 % of the study region, indicating robust spatial applicability. Notably, unreliable predictions predominantly occurred in the climate margins of our dataset. In conclusion, our large-scale assessment underscores the efficacy of combining climate, EOS and topographic data to develop robust models for mapping annual TRW. This research not only fills a critical void in the current understanding of forest growth dynamics but also highlights the potential of integrated data sources for comprehensive ecosystem assessments.

Published
2024

2. Networking the forest infrastructure towards near real-time monitoring – A white paper

Author

Zweifel, Roman, Pappas, Christoforos, Peters, Richard L., Babst, Flurin, Balanzategui, Daniel, Basler, David, Bastos, Ana, Beloiu, Mirela, Buchmann, Nina, Bose, Arun K., Braun, Sabine, Damm, Alexander, D'Odorico, Petra, Eitel, Jan U.H., Etzold, Sophia, Fonti, Patrick, Rouholahnejad Freund, Elham, Gessler, Arthur, Haeni, Matthias, Hoch, Günter, Kahmen, Ansgar, Körner, Christian, Krejza, Jan, Krumm, Frank, Leuchner, Michael, Leuschner, Christoph, Lukovic, Mirko, Martínez-Vilalta, Jordi, Matula, Radim, Meesenburg, Henning, Meir, Patrick, Plichta, Roman, Poyatos, Rafael, Rohner, Brigitte, Ruehr, Nadine, Salomón, Roberto L., Scharnweber, Tobias, Schaub, Marcus, Steger, David N., Steppe, Kathy, Still, Christopher, Stojanović, Marko, Trotsiuk, Volodymyr, Vitasse, Yann, von Arx, Georg, Wilmking, Martin, Zahnd, Cedric, Sterck, Frank, Zweifel, Roman, Pappas, Christoforos, Peters, Richard L., Babst, Flurin, Balanzategui, Daniel, Basler, David, Bastos, Ana, Beloiu, Mirela, Buchmann, Nina, Bose, Arun K., Braun, Sabine, Damm, Alexander, D'Odorico, Petra, Eitel, Jan U.H., Etzold, Sophia, Fonti, Patrick, Rouholahnejad Freund, Elham, Gessler, Arthur, Haeni, Matthias, Hoch, Günter, Kahmen, Ansgar, Körner, Christian, Krejza, Jan, Krumm, Frank, Leuchner, Michael, Leuschner, Christoph, Lukovic, Mirko, Martínez-Vilalta, Jordi, Matula, Radim, Meesenburg, Henning, Meir, Patrick, Plichta, Roman, Poyatos, Rafael, Rohner, Brigitte, Ruehr, Nadine, Salomón, Roberto L., Scharnweber, Tobias, Schaub, Marcus, Steger, David N., Steppe, Kathy, Still, Christopher, Stojanović, Marko, Trotsiuk, Volodymyr, Vitasse, Yann, von Arx, Georg, Wilmking, Martin, Zahnd, Cedric, and Sterck, Frank

Abstract

Forests account for nearly 90 % of the world's terrestrial biomass in the form of carbon and they support 80 % of the global biodiversity. To understand the underlying forest dynamics, we need a long-term but also relatively high-frequency, networked monitoring system, as traditionally used in meteorology or hydrology. While there are numerous existing forest monitoring sites, particularly in temperate regions, the resulting data streams are rarely connected and do not provide information promptly, which hampers real-time assessments of forest responses to extreme climate events. The technology to build a better global forest monitoring network now exists. This white paper addresses the key structural components needed to achieve a novel meta-network. We propose to complement - rather than replace or unify - the existing heterogeneous infrastructure with standardized, quality-assured linking methods and interacting data processing centers to create an integrated forest monitoring network. These automated (research topic-dependent) linking methods in atmosphere, biosphere, and pedosphere play a key role in scaling site-specific results and processing them in a timely manner. To ensure broad participation from existing monitoring sites and to establish new sites, these linking methods must be as informative, reliable, affordable, and maintainable as possible, and should be supplemented by near real-time remote sensing data. The proposed novel meta-network will enable the detection of emergent patterns that would not be visible from isolated analyses of individual sites. In addition, the near real-time availability of data will facilitate predictions of current forest conditions (nowcasts), which are urgently needed for research and decision making in the face of rapid climate change. We call for international and interdisciplinary efforts in this direction.

Published
2023

3. The 2018 European heatwave led to stem dehydration but not to consistent growth reductions in forests

Author

Salomón, Roberto Luis, Peters, Richard L., Zweifel, Roman, Sass-Klaassen, Ute G. W., Stegehuis, Annemiek I., Smiljanic, Marko, Poyatos, Rafael, Babst, Flurin, Cienciala, Emil, Fonti, Patrick, Lerink, Bas J. W., Lindner, Marcus, Martínez Vilalta, Jordi, Mencuccini, Maurizio, Nabuurs, Gert-Jan, van der Maaten, Ernst, von Arx, Georg, Bär, Andreas, Akhmetzyanov, Linar, Balanzategui, Daniel, Bellan, Michal, Bendix, Jörg, Berveiller, Daniel, Blaženec, Miroslav, Čada, Vojtěch, Carraro, Vinicio, Cecchini, Sébastien, Chan, Tommy, Conedera, Marco, Delpierre, Nicolas, Delzon, Sylvain, Ditmarová, Ľubica, Dolezal, Jiri, Dufrêne, Eric, Edvardsson, Johannes, Ehekircher, Stefan, Forner, Alicia, Frouz, Jan, Ganthaler, Andrea, Gryc, Vladimír, Güney, Aylin, Heinrich, Ingo, Hentschel, Rainer, Janda, Pavel, Ježík, Marek, Kahle, Hans-Peter, Knüsel, Simon, Krejza, Jan, Kuberski, Łukasz, Kučera, Jiří, Lebourgeois, François, Mikoláš, Martin, Matula, Radim, Mayr, Stefan, Oberhuber, Walter, Obojes, Nikolaus, Osborne, Bruce, Paljakka, Teemu, Plichta, Roman, Rabbel, Inken, Rathgeber, Cyrille B. K., Salmon, Yann, Saunders, Matthew, Scharnweber, Tobias, Sitková, Zuzana, Stangler, Dominik Florian, Stereńczak, Krzysztof, Stojanović, Marko, Střelcová, Katarína, Světlík, Jan, Svoboda, Miroslav, Tobin, Brian, Trotsiuk, Volodymyr, Urban, Josef, Valladares, Fernando, Vavrčík, Hanuš, Vejpustková, Monika, Walthert, Lorenz, Wilmking, Martin, Zin, Ewa, Zou, Junliang, Steppe, Kathy, Salomón, Roberto Luis, Peters, Richard L., Zweifel, Roman, Sass-Klaassen, Ute G. W., Stegehuis, Annemiek I., Smiljanic, Marko, Poyatos, Rafael, Babst, Flurin, Cienciala, Emil, Fonti, Patrick, Lerink, Bas J. W., Lindner, Marcus, Martínez Vilalta, Jordi, Mencuccini, Maurizio, Nabuurs, Gert-Jan, van der Maaten, Ernst, von Arx, Georg, Bär, Andreas, Akhmetzyanov, Linar, Balanzategui, Daniel, Bellan, Michal, Bendix, Jörg, Berveiller, Daniel, Blaženec, Miroslav, Čada, Vojtěch, Carraro, Vinicio, Cecchini, Sébastien, Chan, Tommy, Conedera, Marco, Delpierre, Nicolas, Delzon, Sylvain, Ditmarová, Ľubica, Dolezal, Jiri, Dufrêne, Eric, Edvardsson, Johannes, Ehekircher, Stefan, Forner, Alicia, Frouz, Jan, Ganthaler, Andrea, Gryc, Vladimír, Güney, Aylin, Heinrich, Ingo, Hentschel, Rainer, Janda, Pavel, Ježík, Marek, Kahle, Hans-Peter, Knüsel, Simon, Krejza, Jan, Kuberski, Łukasz, Kučera, Jiří, Lebourgeois, François, Mikoláš, Martin, Matula, Radim, Mayr, Stefan, Oberhuber, Walter, Obojes, Nikolaus, Osborne, Bruce, Paljakka, Teemu, Plichta, Roman, Rabbel, Inken, Rathgeber, Cyrille B. K., Salmon, Yann, Saunders, Matthew, Scharnweber, Tobias, Sitková, Zuzana, Stangler, Dominik Florian, Stereńczak, Krzysztof, Stojanović, Marko, Střelcová, Katarína, Světlík, Jan, Svoboda, Miroslav, Tobin, Brian, Trotsiuk, Volodymyr, Urban, Josef, Valladares, Fernando, Vavrčík, Hanuš, Vejpustková, Monika, Walthert, Lorenz, Wilmking, Martin, Zin, Ewa, Zou, Junliang, and Steppe, Kathy

Abstract

Altres ajuts: This work utilised the network of dendrometer observations established by the COST Action network STReESS (grant FP1106), Heatwaves exert disproportionately strong and sometimes irreversible impacts on forest ecosystems. These impacts remain poorly understood at the tree and species level and across large spatial scales. Here, we investigate the effects of the record-breaking 2018 European heatwave on tree growth and tree water status using a collection of high-temporal resolution dendrometer data from 21 species across 53 sites. Relative to the two preceding years, annual stem growth was not consistently reduced by the 2018 heatwave but stems experienced twice the temporary shrinkage due to depletion of water reserves. Conifer species were less capable of rehydrating overnight than broadleaves across gradients of soil and atmospheric drought, suggesting less resilience toward transient stress. In particular, Norway spruce and Scots pine experienced extensive stem dehydration. Our high-resolution dendrometer network was suitable to disentangle the effects of a severe heatwave on tree growth and desiccation at large-spatial scales in situ, and provided insights on which species may be more vulnerable to climate extremes.

Published
2022

4. Accuracy, realism and general applicability of European forest models

Author

Mahnken, Mats, Cailleret, Maxime, Collalti, Alessio, Trotta, Carlo, Biondo, Corrado, D'Andrea, Ettore, Dalmonech, Daniela, Marano, Gina, Mäkelä, Annikki, Minunno, Francesco, Peltoniemi, Mikko, Trotsiuk, Volodymyr, Nadal‐Sala, Daniel, Sabaté, Santiago, Vallet, Patrick, Aussenac, Raphaël, Cameron, David R., Bohn, Friedrich J., Grote, Rüdiger, Augustynczik, Andrey L.D., Yousefpour, Rasoul, Huber, Nica, Bugmann, Harald, Merganičová, Katarina, Merganic, Jan, Valent, Peter, Lasch‐Born, Petra, Hartig, Florian, Vega del Valle, Iliusi D., Volkholz, Jan, Gutsch, Martin, Matteucci, Giorgio, Krejza, Jan, Ibrom, Andreas, Meesenburg, Henning, Rötzer, Thomas, van der Maaten‐Theunissen, Marieke, van der Maaten, Ernst, Reyer, Christopher P.O., Mahnken, Mats, Cailleret, Maxime, Collalti, Alessio, Trotta, Carlo, Biondo, Corrado, D'Andrea, Ettore, Dalmonech, Daniela, Marano, Gina, Mäkelä, Annikki, Minunno, Francesco, Peltoniemi, Mikko, Trotsiuk, Volodymyr, Nadal‐Sala, Daniel, Sabaté, Santiago, Vallet, Patrick, Aussenac, Raphaël, Cameron, David R., Bohn, Friedrich J., Grote, Rüdiger, Augustynczik, Andrey L.D., Yousefpour, Rasoul, Huber, Nica, Bugmann, Harald, Merganičová, Katarina, Merganic, Jan, Valent, Peter, Lasch‐Born, Petra, Hartig, Florian, Vega del Valle, Iliusi D., Volkholz, Jan, Gutsch, Martin, Matteucci, Giorgio, Krejza, Jan, Ibrom, Andreas, Meesenburg, Henning, Rötzer, Thomas, van der Maaten‐Theunissen, Marieke, van der Maaten, Ernst, and Reyer, Christopher P.O.

Abstract

Forest models are instrumental for understanding and projecting the impact of climate change on forests. A considerable number of forest models have been developed in the last decades. However, few systematic and comprehensive model comparisons have been performed in Europe that combine an evaluation of modelled carbon and water fluxes and forest structure. We evaluate 13 widely used, state-of-the-art, stand-scale forest models against field measurements of forest structure and eddy-covariance data of carbon and water fluxes over multiple decades across an environmental gradient at nine typical European forest stands. We test the models' performance in three dimensions: accuracy of local predictions (agreement of modelled and observed annual data), realism of environmental responses (agreement of modelled and observed responses of daily gross primary productivity to temperature, radiation and vapour pressure deficit) and general applicability (proportion of European tree species covered). We find that multiple models are available that excel according to our three dimensions of model performance. For the accuracy of local predictions, variables related to forest structure have lower random and systematic errors than annual carbon and water flux variables. Moreover, the multi-model ensemble mean provided overall more realistic daily productivity responses to environmental drivers across all sites than any single individual model. The general applicability of the models is high, as almost all models are currently able to cover Europe's common tree species. We show that forest models complement each other in their response to environmental drivers and that there are several cases in which individual models outperform the model ensemble. Our framework provides a first step to capturing essential differences between forest models that go beyond the most commonly used accuracy of predictions. Overall, this study provides a point of reference for future model work aimed at

Published
2022

5. Accuracy, realism and general applicability of European forest models

Author

Mahnken, Mats, Cailleret, Maxime, Collalti, Alessio, Trotta, Carlo, Biondo, Corrado, D'Andrea, Ettore, Dalmonech, Daniela, Marano, Gina, Mäkelä, Annikki, Minunno, Francesco, Peltoniemi, Mikko, Trotsiuk, Volodymyr, Nadal-Sala, Daniel, Sabaté, Santiago, Vallet, Patrick, Aussenac, Raphaël, Cameron, David R., Bohn, Friedrich J., Grote, Rüdiger, Augustynczik, Andrey L. D., Yousefpour, Rasoul, Huber, Nica, Bugmann, Harald, Merganičová, Katarina, Merganic, Jan, Valent, Peter, Lasch-Born, Petra, Hartig, Florian, Vega del Valle, Iliusi D., Volkholz, Jan, Gutsch, Martin, Matteucci, Giorgio, Krejza, Jan, Ibrom, Andreas, Meesenburg, Henning, Rötzer, Thomas, van der Maaten-Theunissen, Marieke, van der Maaten, Ernst, Reyer, Christopher P. O., Mahnken, Mats, Cailleret, Maxime, Collalti, Alessio, Trotta, Carlo, Biondo, Corrado, D'Andrea, Ettore, Dalmonech, Daniela, Marano, Gina, Mäkelä, Annikki, Minunno, Francesco, Peltoniemi, Mikko, Trotsiuk, Volodymyr, Nadal-Sala, Daniel, Sabaté, Santiago, Vallet, Patrick, Aussenac, Raphaël, Cameron, David R., Bohn, Friedrich J., Grote, Rüdiger, Augustynczik, Andrey L. D., Yousefpour, Rasoul, Huber, Nica, Bugmann, Harald, Merganičová, Katarina, Merganic, Jan, Valent, Peter, Lasch-Born, Petra, Hartig, Florian, Vega del Valle, Iliusi D., Volkholz, Jan, Gutsch, Martin, Matteucci, Giorgio, Krejza, Jan, Ibrom, Andreas, Meesenburg, Henning, Rötzer, Thomas, van der Maaten-Theunissen, Marieke, van der Maaten, Ernst, and Reyer, Christopher P. O.

Abstract

Forest models are instrumental for understanding and projecting the impact of climate change on forests. A considerable number of forest models have been developed in the last decades. However, few systematic and comprehensive model comparisons have been performed in Europe that combine an evaluation of modelled carbon and water fluxes and forest structure. We evaluate 13 widely used, state-of-the-art, stand-scale forest models against field measurements of forest structure and eddy-covariance data of carbon and water fluxes over multiple decades across an environmental gradient at nine typical European forest stands. We test the models' performance in three dimensions: accuracy of local predictions (agreement of modelled and observed annual data), realism of environmental responses (agreement of modelled and observed responses of daily gross primary productivity to temperature, radiation and vapour pressure deficit) and general applicability (proportion of European tree species covered). We find that multiple models are available that excel according to our three dimensions of model performance. For the accuracy of local predictions, variables related to forest structure have lower random and systematic errors than annual carbon and water flux variables. Moreover, the multi-model ensemble mean provided overall more realistic daily productivity responses to environmental drivers across all sites than any single individual model. The general applicability of the models is high, as almost all models are currently able to cover Europe's common tree species. We show that forest models complement each other in their response to environmental drivers and that there are several cases in which individual models outperform the model ensemble. Our framework provides a first step to capturing essential differences between forest models that go beyond the most commonly used accuracy of predictions. Overall, this study provides a point of reference for futur

Published
2022

6. The 2018 European heatwave led to stem dehydration but not to consistent growth reductions in forests

Author

Ministerio de Ciencia e Innovación (España), Swiss National Science Foundation, Ministerio de Economía y Competitividad (España), Salomón, Roberto L., Peters, Richard L., Zweifel, Roman, Sass-Klaassen, Ute G.W., Stegehuis, Annemiek I., Smiljanic, Marko, Poyatos, Rafael, Babst, Flurin, Cienciala, Emil, Fonti, Patrick, Lerink, Bass J.W., Lindner, Marcus, Martínez-Vilalta, Jordi, Mencuccini, Maurizio, Nabuurs, Gert-Jan, van der Maaten, Ernst, von Arx, Georg, Bär, Andreas, Akhmetzyanov, Linar, Balanzategui, Daniel, Bellan, Michal, Bendix, Jörg, Berveiller, Daniel, Blaženec, Miroslav, Čada, Vojtěch, Carraro, Vinicio, Cecchini, Sébastien, Chan, Tommy, Conedera, Marco, Delpierre, Nicolas, Delzon, Sylvain, Ditmarová, Lubica, Doležal, Jiří, Dufrêne, Eric, Edvardsson, Johannes, Ehekircher, Stefan, Forner, Alicia, Frouz, Jan, Ganthaler, Andrea, Gryc, Vladimír, Güney, Aylin, Heinrich, Ingo, Hentschel, Rainer, Janda, Pavel, Ježík, Marek, Kahle, Hans-Peter, Knüsel, Simon, Krejza, Jan, Kuberski, Łukasz, Kučera, Jiří, Lebourgeois, François, Mikoláš, Martin, Matula, Radim, Mayr, Stefan, Oberhuber, Walter, Obojes, Nikolaus, Osborne, Bruce, Paljakka, Teemu, Plichta, Roman, Rabbel, Inke, Rathgeber, Cyrille B.K., Salmon, Yann, Saunder, Matthew, Scharnweber, Tobias, Sitková, Zuzana, Stangler, Dominik Florian, Stereńczak, Krzysztof, Stereńczak, Marko, Střelcová, Katarína, Světlík, Jan, Svodoba, Miroslav, Tobin, Brian, Trotsiuk, Volodymyr, Urban, Josef, Valladares Ros, Fernando, Vavrčík, Hanuš, Vejpustková, Monika, Walthert, Lorenz, Wilmking, Martin, Zin, Ewa, Zou, Junliang, Steppe, Kathy, Ministerio de Ciencia e Innovación (España), Swiss National Science Foundation, Ministerio de Economía y Competitividad (España), Salomón, Roberto L., Peters, Richard L., Zweifel, Roman, Sass-Klaassen, Ute G.W., Stegehuis, Annemiek I., Smiljanic, Marko, Poyatos, Rafael, Babst, Flurin, Cienciala, Emil, Fonti, Patrick, Lerink, Bass J.W., Lindner, Marcus, Martínez-Vilalta, Jordi, Mencuccini, Maurizio, Nabuurs, Gert-Jan, van der Maaten, Ernst, von Arx, Georg, Bär, Andreas, Akhmetzyanov, Linar, Balanzategui, Daniel, Bellan, Michal, Bendix, Jörg, Berveiller, Daniel, Blaženec, Miroslav, Čada, Vojtěch, Carraro, Vinicio, Cecchini, Sébastien, Chan, Tommy, Conedera, Marco, Delpierre, Nicolas, Delzon, Sylvain, Ditmarová, Lubica, Doležal, Jiří, Dufrêne, Eric, Edvardsson, Johannes, Ehekircher, Stefan, Forner, Alicia, Frouz, Jan, Ganthaler, Andrea, Gryc, Vladimír, Güney, Aylin, Heinrich, Ingo, Hentschel, Rainer, Janda, Pavel, Ježík, Marek, Kahle, Hans-Peter, Knüsel, Simon, Krejza, Jan, Kuberski, Łukasz, Kučera, Jiří, Lebourgeois, François, Mikoláš, Martin, Matula, Radim, Mayr, Stefan, Oberhuber, Walter, Obojes, Nikolaus, Osborne, Bruce, Paljakka, Teemu, Plichta, Roman, Rabbel, Inke, Rathgeber, Cyrille B.K., Salmon, Yann, Saunder, Matthew, Scharnweber, Tobias, Sitková, Zuzana, Stangler, Dominik Florian, Stereńczak, Krzysztof, Stereńczak, Marko, Střelcová, Katarína, Světlík, Jan, Svodoba, Miroslav, Tobin, Brian, Trotsiuk, Volodymyr, Urban, Josef, Valladares Ros, Fernando, Vavrčík, Hanuš, Vejpustková, Monika, Walthert, Lorenz, Wilmking, Martin, Zin, Ewa, Zou, Junliang, and Steppe, Kathy

Abstract

Heatwaves exert disproportionately strong and sometimes irreversible impacts on forest ecosystems. These impacts remain poorly understood at the tree and species level and across large spatial scales. Here, we investigate the effects of the record-breaking 2018 European heatwave on tree growth and tree water status using a collection of high-temporal resolution dendrometer data from 21 species across 53 sites. Relative to the two preceding years, annual stem growth was not consistently reduced by the 2018 heatwave but stems experienced twice the temporary shrinkage due to depletion of water reserves. Conifer species were less capable of rehydrating overnight than broadleaves across gradients of soil and atmospheric drought, suggesting less resilience toward transient stress. In particular, Norway spruce and Scots pine experienced extensive stem dehydration. Our high-resolution dendrometer network was suitable to disentangle the effects of a severe heatwave on tree growth and desiccation at large-spatial scales in situ, and provided insights on which species may be more vulnerable to climate extremes.

Published
2022

7. The 2018 European heatwave led to stem dehydration but not to consistent growth reductions in forests

Author

Salomón, Roberto L., Peters, Richard L., Zweifel, Roman, Sass-Klaassen, Ute G.W., Stegehuis, Annemiek I., Smiljanic, Marko, Poyatos, Rafael, Babst, Flurin, Cienciala, Emil, Fonti, Patrick, Lerink, Bas J.W., Lindner, Marcus, Martinez-Vilalta, Jordi, Mencuccini, Maurizio, Nabuurs, Gert Jan, van der Maaten, Ernst, von Arx, Georg, Bär, Andreas, Akhmetzyanov, Linar, Balanzategui, Daniel, Bellan, Michal, Bendix, Jörg, Berveiller, Daniel, Blaženec, Miroslav, Čada, Vojtěch, Carraro, Vinicio, Cecchini, Sébastien, Chan, Tommy, Conedera, Marco, Delpierre, Nicolas, Delzon, Sylvain, Ditmarová, Ľubica, Dolezal, Jiri, Dufrêne, Eric, Edvardsson, Johannes, Ehekircher, Stefan, Forner, Alicia, Frouz, Jan, Ganthaler, Andrea, Gryc, Vladimír, Güney, Aylin, Heinrich, Ingo, Hentschel, Rainer, Janda, Pavel, Ježík, Marek, Kahle, Hans Peter, Knüsel, Simon, Krejza, Jan, Kuberski, Łukasz, Kučera, Jiří, Lebourgeois, François, Mikoláš, Martin, Matula, Radim, Mayr, Stefan, Oberhuber, Walter, Obojes, Nikolaus, Osborne, Bruce, Paljakka, Teemu, Plichta, Roman, Rabbel, Inken, Rathgeber, Cyrille B.K., Salmon, Yann, Saunders, Matthew, Scharnweber, Tobias, Sitková, Zuzana, Stangler, Dominik Florian, Stereńczak, Krzysztof, Stojanović, Marko, Střelcová, Katarína, Světlík, Jan, Svoboda, Miroslav, Tobin, Brian, Trotsiuk, Volodymyr, Urban, Josef, Valladares, Fernando, Vavrčík, Hanuš, Vejpustková, Monika, Walthert, Lorenz, Wilmking, Martin, Zin, Ewa, Zou, Junliang, Steppe, Kathy, Salomón, Roberto L., Peters, Richard L., Zweifel, Roman, Sass-Klaassen, Ute G.W., Stegehuis, Annemiek I., Smiljanic, Marko, Poyatos, Rafael, Babst, Flurin, Cienciala, Emil, Fonti, Patrick, Lerink, Bas J.W., Lindner, Marcus, Martinez-Vilalta, Jordi, Mencuccini, Maurizio, Nabuurs, Gert Jan, van der Maaten, Ernst, von Arx, Georg, Bär, Andreas, Akhmetzyanov, Linar, Balanzategui, Daniel, Bellan, Michal, Bendix, Jörg, Berveiller, Daniel, Blaženec, Miroslav, Čada, Vojtěch, Carraro, Vinicio, Cecchini, Sébastien, Chan, Tommy, Conedera, Marco, Delpierre, Nicolas, Delzon, Sylvain, Ditmarová, Ľubica, Dolezal, Jiri, Dufrêne, Eric, Edvardsson, Johannes, Ehekircher, Stefan, Forner, Alicia, Frouz, Jan, Ganthaler, Andrea, Gryc, Vladimír, Güney, Aylin, Heinrich, Ingo, Hentschel, Rainer, Janda, Pavel, Ježík, Marek, Kahle, Hans Peter, Knüsel, Simon, Krejza, Jan, Kuberski, Łukasz, Kučera, Jiří, Lebourgeois, François, Mikoláš, Martin, Matula, Radim, Mayr, Stefan, Oberhuber, Walter, Obojes, Nikolaus, Osborne, Bruce, Paljakka, Teemu, Plichta, Roman, Rabbel, Inken, Rathgeber, Cyrille B.K., Salmon, Yann, Saunders, Matthew, Scharnweber, Tobias, Sitková, Zuzana, Stangler, Dominik Florian, Stereńczak, Krzysztof, Stojanović, Marko, Střelcová, Katarína, Světlík, Jan, Svoboda, Miroslav, Tobin, Brian, Trotsiuk, Volodymyr, Urban, Josef, Valladares, Fernando, Vavrčík, Hanuš, Vejpustková, Monika, Walthert, Lorenz, Wilmking, Martin, Zin, Ewa, Zou, Junliang, and Steppe, Kathy

Abstract

Heatwaves exert disproportionately strong and sometimes irreversible impacts on forest ecosystems. These impacts remain poorly understood at the tree and species level and across large spatial scales. Here, we investigate the effects of the record-breaking 2018 European heatwave on tree growth and tree water status using a collection of high-temporal resolution dendrometer data from 21 species across 53 sites. Relative to the two preceding years, annual stem growth was not consistently reduced by the 2018 heatwave but stems experienced twice the temporary shrinkage due to depletion of water reserves. Conifer species were less capable of rehydrating overnight than broadleaves across gradients of soil and atmospheric drought, suggesting less resilience toward transient stress. In particular, Norway spruce and Scots pine experienced extensive stem dehydration. Our high-resolution dendrometer network was suitable to disentangle the effects of a severe heatwave on tree growth and desiccation at large-spatial scales in situ, and provided insights on which species may be more vulnerable to climate extremes.

Published
2022

8. Data from: The 2018 European heatwave led to stem dehydration but not to consistent growth reductions in forests

Author

Salomón, Roberto L., Peters, Richard L., Zweifel, Roman, Sass-Klaassen, Ute G.W., Stegehuis, Annemiek I., Smiljanic, Marko, Poyatos, Rafael, Babst, Flurin, Cienciala, Emil, Fonti, Patrick, Lerink, Bas J.W., Lindner, Marcus, Martinez-Vilalta, Jordi, Mencuccini, Maurizio, Nabuurs, Gert Jan, van der Maaten, Ernst, von Arx, Georg, Bär, Andreas, Akhmetzyanov, Linar, Balanzategui, Daniel, Bellan, Michal, Bendix, Jörg, Berveiller, Daniel, Blaženec, Miroslav, Čada, Vojtěch, Carraro, Vinicio, Cecchini, Sébastien, Chan, Tommy, Conedera, Marco, Delpierre, Nicolas, Delzon, Sylvain, Ditmarová, Ľubica, Dolezal, Jiri, Dufrêne, Eric, Edvardsson, Johannes, Ehekircher, Stefan, Forner, Alicia, Frouz, Jan, Ganthaler, Andrea, Gryc, Vladimír, Güney, Aylin, Heinrich, Ingo, Hentschel, Rainer, Janda, Pavel, Ježík, Marek, Kahle, Hans Peter, Knüsel, Simon, Krejza, Jan, Kuberski, Łukasz, Kučera, Jiří, Lebourgeois, François, Mikoláš, Martin, Matula, Radim, Mayr, Stefan, Oberhuber, Walter, Obojes, Nikolaus, Osborne, Bruce, Paljakka, Teemu, Plichta, Roman, Rabbel, Inken, Rathgeber, Cyrille B.K., Salmon, Yann, Saunders, Matthew, Scharnweber, Tobias, Sitková, Zuzana, Stangler, Dominik Florian, Stereńczak, Krzysztof, Stojanović, Marko, Střelcová, Katarína, Světlík, Jan, Svoboda, Miroslav, Tobin, Brian, Trotsiuk, Volodymyr, Urban, Josef, Valladares, Fernando, Vavrčík, Hanuš, Vejpustková, Monika, Walthert, Lorenz, Wilmking, Martin, Zin, Ewa, Zou, Junliang, Steppe, Kathy, Salomón, Roberto L., Peters, Richard L., Zweifel, Roman, Sass-Klaassen, Ute G.W., Stegehuis, Annemiek I., Smiljanic, Marko, Poyatos, Rafael, Babst, Flurin, Cienciala, Emil, Fonti, Patrick, Lerink, Bas J.W., Lindner, Marcus, Martinez-Vilalta, Jordi, Mencuccini, Maurizio, Nabuurs, Gert Jan, van der Maaten, Ernst, von Arx, Georg, Bär, Andreas, Akhmetzyanov, Linar, Balanzategui, Daniel, Bellan, Michal, Bendix, Jörg, Berveiller, Daniel, Blaženec, Miroslav, Čada, Vojtěch, Carraro, Vinicio, Cecchini, Sébastien, Chan, Tommy, Conedera, Marco, Delpierre, Nicolas, Delzon, Sylvain, Ditmarová, Ľubica, Dolezal, Jiri, Dufrêne, Eric, Edvardsson, Johannes, Ehekircher, Stefan, Forner, Alicia, Frouz, Jan, Ganthaler, Andrea, Gryc, Vladimír, Güney, Aylin, Heinrich, Ingo, Hentschel, Rainer, Janda, Pavel, Ježík, Marek, Kahle, Hans Peter, Knüsel, Simon, Krejza, Jan, Kuberski, Łukasz, Kučera, Jiří, Lebourgeois, François, Mikoláš, Martin, Matula, Radim, Mayr, Stefan, Oberhuber, Walter, Obojes, Nikolaus, Osborne, Bruce, Paljakka, Teemu, Plichta, Roman, Rabbel, Inken, Rathgeber, Cyrille B.K., Salmon, Yann, Saunders, Matthew, Scharnweber, Tobias, Sitková, Zuzana, Stangler, Dominik Florian, Stereńczak, Krzysztof, Stojanović, Marko, Střelcová, Katarína, Světlík, Jan, Svoboda, Miroslav, Tobin, Brian, Trotsiuk, Volodymyr, Urban, Josef, Valladares, Fernando, Vavrčík, Hanuš, Vejpustková, Monika, Walthert, Lorenz, Wilmking, Martin, Zin, Ewa, Zou, Junliang, and Steppe, Kathy

Abstract

Heatwaves exert disproportionately strong and sometimes irreversible impacts on forest ecosystems. These impacts remain poorly understood at the tree and species level and across large spatial scales. Here, we investigate the effects of the record-breaking 2018 European heatwave on tree growth and tree water status using a collection of high-temporal resolution dendrometer data from 21 species across 53 sites. Relative to the two preceding years, annual stem growth was not consistently reduced by the 2018 heatwave but stems experienced twice the temporary shrinkage due to depletion of water reserves. Conifer species were less capable of rehydrating overnight than broadleaves across gradients of soil and atmospheric drought, suggesting less resilience toward transient stress. In particular, Norway spruce and Scots pine experienced extensive stem dehydration. Our high-resolution dendrometer network was suitable to disentangle the effects of a severe heatwave on tree growth and desiccation at large-spatial scales in situ, and provided insights on which species may be more vulnerable to climate extremes., Heatwaves exert disproportionately strong and sometimes irreversible impacts on forest ecosystems. These impacts remain poorly understood at the tree and species level and across large spatial scales. Here, we investigate the effects of the record-breaking 2018 European heatwave on tree growth and tree water status using a collection of high-temporal resolution dendrometer data from 21 species across 53 sites. Relative to the two preceding years, annual stem growth was not consistently reduced by the 2018 heatwave but stems experienced twice the temporary shrinkage due to depletion of water reserves. Conifer species were less capable of rehydrating overnight than broadleaves across gradients of soil and atmospheric drought, suggesting less resilience toward transient stress. In particular, Norway spruce and Scots pine experienced extensive stem dehydration. Our high-resolution dendrometer network was suitable to disentangle the effects of a severe heatwave on tree growth and desiccation at large-spatial scales in situ, and provided insights on which species may be more vulnerable to climate extremes.

Published
2021

9. The PROFOUND database for evaluating vegetation models and simulating climate impacts on European forests

Author

Reyer, Christopher P.O., Silveyra Gonzalez, Ramiro, Dolos, Klara, Hartig, Florian, Hauf, Ylva, Noack, Matthias, Lasch-Born, Petra, Rötzer, Thomas, Pretzsch, Hans, Meesenburg, Henning, Fleck, Stefan, Wagner, Markus, Bolte, Andreas, Sanders, Tanja G.M., Kolari, Pasi, Mäkelä, Annikki, Vesala, Timo, Mammarella, Ivan, Pumpanen, Jukka, Collalti, Alessio, Trotta, Carlo, Matteucci, Giorgio, D'Andrea, Ettore, Foltýnová, Lenka, Krejza, Jan, Ibrom, Andreas, Pilegaard, Kim, Loustau, Denis, Bonnefond, Jean-Marc, Berbigier, Paul, Picart, Delphine, Lafont, Sébastien, Dietze, Michael, Cameron, David, Vieno, Massimo, Tian, Hanqin, Palacios-Orueta, Alicia, Cicuendez, Victor, Recuero, Laura, Wiese, Klaus, Büchner, Matthias, Lange, Stefan, Volkholz, Jan, Kim, Hyungjun, Horemans, Joanna A., Bohn, Friedrich, Steinkamp, Jörg, Chikalanov, Alexander, Weedon, Graham P., Sheffield, Justin, Babst, Flurin, Vega del Valle, Iliusi, Suckow, Felicitas, Martel, Simon, Mahnken, Mats, Gutsch, Martin, Frieler, Katja, Reyer, Christopher P.O., Silveyra Gonzalez, Ramiro, Dolos, Klara, Hartig, Florian, Hauf, Ylva, Noack, Matthias, Lasch-Born, Petra, Rötzer, Thomas, Pretzsch, Hans, Meesenburg, Henning, Fleck, Stefan, Wagner, Markus, Bolte, Andreas, Sanders, Tanja G.M., Kolari, Pasi, Mäkelä, Annikki, Vesala, Timo, Mammarella, Ivan, Pumpanen, Jukka, Collalti, Alessio, Trotta, Carlo, Matteucci, Giorgio, D'Andrea, Ettore, Foltýnová, Lenka, Krejza, Jan, Ibrom, Andreas, Pilegaard, Kim, Loustau, Denis, Bonnefond, Jean-Marc, Berbigier, Paul, Picart, Delphine, Lafont, Sébastien, Dietze, Michael, Cameron, David, Vieno, Massimo, Tian, Hanqin, Palacios-Orueta, Alicia, Cicuendez, Victor, Recuero, Laura, Wiese, Klaus, Büchner, Matthias, Lange, Stefan, Volkholz, Jan, Kim, Hyungjun, Horemans, Joanna A., Bohn, Friedrich, Steinkamp, Jörg, Chikalanov, Alexander, Weedon, Graham P., Sheffield, Justin, Babst, Flurin, Vega del Valle, Iliusi, Suckow, Felicitas, Martel, Simon, Mahnken, Mats, Gutsch, Martin, and Frieler, Katja

Abstract

Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data on European forests to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale. A particular advantage of this database is its wide coverage of multiple data sources at different hierarchical and temporal scales, together with environmental driving data as well as the latest climate scenarios. Specifically, the PROFOUND DB provides general site descriptions, soil, climate, CO2, nitrogen deposition, tree and forest stand level, and remote sensing data for nine contrasting forest stands distributed across Europe. Moreover, for a subset of five sites, time series of carbon fluxes, atmospheric heat conduction and soil water are also available. The climate and nitrogen deposition data contain several datasets for the historic period and a wide range of future climate change scenarios following the Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5). We also provide pre-industrial climate simulations that allow for model runs aimed at disentangling the contribution of climate change to observed forest productivity changes. The PROFOUND DB is available freely as a “SQLite” relational database or “ASCII” flat file version (at https://doi.org/10.5880/PIK.2020.006/; Reyer et al., 2020). The data policies of the individual contributing datasets are provided in the metadata of each data file. The PROFOUND DB can also be accessed via the ProfoundData R package (https://CRAN.R-project.org/package=ProfoundData; Silveyra Gonzalez et al., 2020), which provides basic functions to explore, plot and extract the data for model set-up, calibration and evaluation.

Published
2020

10. The PROFOUND database for evaluating vegetation models and simulating climate impacts on European forests

Author

Reyer, Christopher P.O., Silveyra Gonzalez, Ramiro, Dolos, Klara, Hartig, Florian, Hauf, Ylva, Noack, Matthias, Lasch-Born, Petra, Rötzer, Thomas, Pretzsch, Hans, Meesenburg, Henning, Fleck, Stefan, Wagner, Markus, Bolte, Andreas, Sanders, Tanja G.M., Kolari, Pasi, Mäkelä, Annikki, Vesala, Timo, Mammarella, Ivan, Pumpanen, Jukka, Collalti, Alessio, Trotta, Carlo, Matteucci, Giorgio, D'Andrea, Ettore, Foltýnová, Lenka, Krejza, Jan, Ibrom, Andreas, Pilegaard, Kim, Loustau, Denis, Bonnefond, Jean-Marc, Berbigier, Paul, Picart, Delphine, Lafont, Sébastien, Dietze, Michael, Cameron, David, Vieno, Massimo, Tian, Hanqin, Palacios-Orueta, Alicia, Cicuendez, Victor, Recuero, Laura, Wiese, Klaus, Büchner, Matthias, Lange, Stefan, Volkholz, Jan, Kim, Hyungjun, Horemans, Joanna A., Bohn, Friedrich, Steinkamp, Jörg, Chikalanov, Alexander, Weedon, Graham P., Sheffield, Justin, Babst, Flurin, Vega del Valle, Iliusi, Suckow, Felicitas, Martel, Simon, Mahnken, Mats, Gutsch, Martin, Frieler, Katja, Reyer, Christopher P.O., Silveyra Gonzalez, Ramiro, Dolos, Klara, Hartig, Florian, Hauf, Ylva, Noack, Matthias, Lasch-Born, Petra, Rötzer, Thomas, Pretzsch, Hans, Meesenburg, Henning, Fleck, Stefan, Wagner, Markus, Bolte, Andreas, Sanders, Tanja G.M., Kolari, Pasi, Mäkelä, Annikki, Vesala, Timo, Mammarella, Ivan, Pumpanen, Jukka, Collalti, Alessio, Trotta, Carlo, Matteucci, Giorgio, D'Andrea, Ettore, Foltýnová, Lenka, Krejza, Jan, Ibrom, Andreas, Pilegaard, Kim, Loustau, Denis, Bonnefond, Jean-Marc, Berbigier, Paul, Picart, Delphine, Lafont, Sébastien, Dietze, Michael, Cameron, David, Vieno, Massimo, Tian, Hanqin, Palacios-Orueta, Alicia, Cicuendez, Victor, Recuero, Laura, Wiese, Klaus, Büchner, Matthias, Lange, Stefan, Volkholz, Jan, Kim, Hyungjun, Horemans, Joanna A., Bohn, Friedrich, Steinkamp, Jörg, Chikalanov, Alexander, Weedon, Graham P., Sheffield, Justin, Babst, Flurin, Vega del Valle, Iliusi, Suckow, Felicitas, Martel, Simon, Mahnken, Mats, Gutsch, Martin, and Frieler, Katja

Abstract

Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data on European forests to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale. A particular advantage of this database is its wide coverage of multiple data sources at different hierarchical and temporal scales, together with environmental driving data as well as the latest climate scenarios. Specifically, the PROFOUND DB provides general site descriptions, soil, climate, CO2, nitrogen deposition, tree and forest stand level, and remote sensing data for nine contrasting forest stands distributed across Europe. Moreover, for a subset of five sites, time series of carbon fluxes, atmospheric heat conduction and soil water are also available. The climate and nitrogen deposition data contain several datasets for the historic period and a wide range of future climate change scenarios following the Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5). We also provide pre-industrial climate simulations that allow for model runs aimed at disentangling the contribution of climate change to observed forest productivity changes. The PROFOUND DB is available freely as a “SQLite” relational database or “ASCII” flat file version (at https://doi.org/10.5880/PIK.2020.006/; Reyer et al., 2020). The data policies of the individual contributing datasets are provided in the metadata of each data file. The PROFOUND DB can also be accessed via the ProfoundData R package (https://CRAN.R-project.org/package=ProfoundData; Silveyra Gonzalez et al., 2020), which provides basic functions to explore, plot and extract the data for model set-up, calibration and evaluation.

Published
2020

11. The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests

Author

Reyer, Christopher P. O., Gonzalez, Ramiro Silveyra, Dolos, Klara, Hartig, Florian, Hauf, Ylva, Noack, Matthias, Lasch-Born, Petra, Roetzer, Thomas, Pretzsch, Hans, Meesenburg, Henning, Fleck, Stefan, Wagner, Markus, Bolte, Andreas, Sanders, Tanja G. M., Kolari, Pasi, Makela, Annikki, Vesala, Timo, Mammarella, Ivan, Pumpanen, Jukka, Collalti, Alessio, Trotta, Carlo, Matteucci, Giorgio, D'Andrea, Ettore, Foltynova, Lenka, Krejza, Jan, Ibrom, Andreas, Pilegaard, Kim, Loustau, Denis, Bonnefond, Jean-Marc, Berbigier, Paul, Picart, Delphine, Lafont, Sebastien, Dietze, Michael, Cameron, David, Vieno, Massimo, Tian, Hanqin, Palacios-Orueta, Alicia, Cicuendez, Victor, Recuero, Laura, Wiese, Klaus, Buechner, Matthias, Lange, Stefan, Volkholz, Jan, Kim, Hyungjun, Horemans, Joanna A., Bohn, Friedrich, Steinkamp, Joerg, Chikalanov, Alexander, Weedon, Graham P., Sheffield, Justin, Babst, Flurin, del Valle, Iliusi Vega, Suckow, Felicitas, Martel, Simon, Mahnken, Mats, Gutsch, Martin, Frieler, Katja, Reyer, Christopher P. O., Gonzalez, Ramiro Silveyra, Dolos, Klara, Hartig, Florian, Hauf, Ylva, Noack, Matthias, Lasch-Born, Petra, Roetzer, Thomas, Pretzsch, Hans, Meesenburg, Henning, Fleck, Stefan, Wagner, Markus, Bolte, Andreas, Sanders, Tanja G. M., Kolari, Pasi, Makela, Annikki, Vesala, Timo, Mammarella, Ivan, Pumpanen, Jukka, Collalti, Alessio, Trotta, Carlo, Matteucci, Giorgio, D'Andrea, Ettore, Foltynova, Lenka, Krejza, Jan, Ibrom, Andreas, Pilegaard, Kim, Loustau, Denis, Bonnefond, Jean-Marc, Berbigier, Paul, Picart, Delphine, Lafont, Sebastien, Dietze, Michael, Cameron, David, Vieno, Massimo, Tian, Hanqin, Palacios-Orueta, Alicia, Cicuendez, Victor, Recuero, Laura, Wiese, Klaus, Buechner, Matthias, Lange, Stefan, Volkholz, Jan, Kim, Hyungjun, Horemans, Joanna A., Bohn, Friedrich, Steinkamp, Joerg, Chikalanov, Alexander, Weedon, Graham P., Sheffield, Justin, Babst, Flurin, del Valle, Iliusi Vega, Suckow, Felicitas, Martel, Simon, Mahnken, Mats, Gutsch, Martin, and Frieler, Katja

Abstract

Process-based vegetation models are widely used to predict local and global ecosystem dynamics and climate change impacts. Due to their complexity, they require careful parameterization and evaluation to ensure that projections are accurate and reliable. The PROFOUND Database (PROFOUND DB) provides a wide range of empirical data on European forests to calibrate and evaluate vegetation models that simulate climate impacts at the forest stand scale. A particular advantage of this database is its wide coverage of multiple data sources at different hierarchical and temporal scales, together with environmental driving data as well as the latest climate scenarios. Specifically, the PROFOUND DB provides general site descriptions, soil, climate, CO2, nitrogen deposition, tree and forest stand level, and remote sensing data for nine contrasting forest stands distributed across Europe. Moreover, for a subset of five sites, time series of carbon fluxes, atmospheric heat conduction and soil water are also available. The climate and nitrogen deposition data contain several datasets for the historic period and a wide range of future climate change scenarios following the Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5). We also provide pre-industrial climate simulations that allow for model runs aimed at disentangling the contribution of climate change to observed forest productivity changes. The PROFOUND DB is available freely as a "SQLite" relational database or "ASCII" flat file version (at https://doi.org/10.5880/PIK.2020.006/; Reyer et al., 2020). The data policies of the individual contributing datasets are provided in the metadata of each data file. The PROFOUND DB can also be accessed via the ProfoundData R package (https://CRAN.R- project.org/package=ProfoundData; Silveyra Gonzalez et al., 2020), which provides basic functions to explore, plot and extract the data for model set-up, calibration and evaluation.

Published
2020

12. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass.

Author

Schepaschenko, Dmitry, Chave, Jérôme, Phillips, Oliver L, Lewis, Simon L, Davies, Stuart J, Réjou-Méchain, Maxime, Sist, Plinio, Scipal, Klaus, Perger, Christoph, Herault, Bruno, Labrière, Nicolas, Hofhansl, Florian, Affum-Baffoe, Kofi, Aleinikov, Alexei, Alonso, Alfonso, Amani, Christian, Araujo-Murakami, Alejandro, Armston, John, Arroyo, Luzmila, Ascarrunz, Nataly, Azevedo, Celso, Baker, Timothy, Bałazy, Radomir, Bedeau, Caroline, Berry, Nicholas, Bilous, Andrii M, Bilous, Svitlana Yu, Bissiengou, Pulchérie, Blanc, Lilian, Bobkova, Kapitolina S, Braslavskaya, Tatyana, Brienen, Roel, Burslem, David FRP, Condit, Richard, Cuni-Sanchez, Aida, Danilina, Dilshad, Del Castillo Torres, Dennis, Derroire, Géraldine, Descroix, Laurent, Sotta, Eleneide Doff, d'Oliveira, Marcus VN, Dresel, Christopher, Erwin, Terry, Evdokimenko, Mikhail D, Falck, Jan, Feldpausch, Ted R, Foli, Ernest G, Foster, Robin, Fritz, Steffen, Garcia-Abril, Antonio Damian, Gornov, Aleksey, Gornova, Maria, Gothard-Bassébé, Ernest, Gourlet-Fleury, Sylvie, Guedes, Marcelino, Hamer, Keith C, Susanty, Farida Herry, Higuchi, Niro, Coronado, Eurídice N Honorio, Hubau, Wannes, Hubbell, Stephen, Ilstedt, Ulrik, Ivanov, Viktor V, Kanashiro, Milton, Karlsson, Anders, Karminov, Viktor N, Killeen, Timothy, Koffi, Jean-Claude Konan, Konovalova, Maria, Kraxner, Florian, Krejza, Jan, Krisnawati, Haruni, Krivobokov, Leonid V, Kuznetsov, Mikhail A, Lakyda, Ivan, Lakyda, Petro I, Licona, Juan Carlos, Lucas, Richard M, Lukina, Natalia, Lussetti, Daniel, Malhi, Yadvinder, Manzanera, José Antonio, Marimon, Beatriz, Junior, Ben Hur Marimon, Martinez, Rodolfo Vasquez, Martynenko, Olga V, Matsala, Maksym, Matyashuk, Raisa K, Mazzei, Lucas, Memiaghe, Hervé, Mendoza, Casimiro, Mendoza, Abel Monteagudo, Moroziuk, Olga V, Mukhortova, Liudmila, Musa, Samsudin, Nazimova, Dina I, Okuda, Toshinori, Oliveira, Luis Claudio, Ontikov, Petr V, Osipov, Andrey F, Pietsch, Stephan, Playfair, Maureen, Poulsen, John, Radchenko, Vladimir G, Rodney, Kenneth, Rozak, Andes H, Ruschel, Ademir, Rutishauser, Ervan, See, Linda, Shchepashchenko, Maria, Shevchenko, Nikolay, Shvidenko, Anatoly, Silveira, Marcos, Singh, James, Sonké, Bonaventure, Souza, Cintia, Stereńczak, Krzysztof, Stonozhenko, Leonid, Sullivan, Martin JP, Szatniewska, Justyna, Taedoumg, Hermann, Ter Steege, Hans, Tikhonova, Elena, Toledo, Marisol, Trefilova, Olga V, Valbuena, Ruben, Gamarra, Luis Valenzuela, Vasiliev, Sergey, Vedrova, Estella F, Verhovets, Sergey V, Vidal, Edson, Vladimirova, Nadezhda A, Vleminckx, Jason, Vos, Vincent A, Vozmitel, Foma K, Wanek, Wolfgang, West, Thales AP, Woell, Hannsjorg, Woods, John T, Wortel, Verginia, Yamada, Toshihiro, Nur Hajar, Zamah Shari, Zo-Bi, Irié Casimir, Schepaschenko, Dmitry, Chave, Jérôme, Phillips, Oliver L, Lewis, Simon L, Davies, Stuart J, Réjou-Méchain, Maxime, Sist, Plinio, Scipal, Klaus, Perger, Christoph, Herault, Bruno, Labrière, Nicolas, Hofhansl, Florian, Affum-Baffoe, Kofi, Aleinikov, Alexei, Alonso, Alfonso, Amani, Christian, Araujo-Murakami, Alejandro, Armston, John, Arroyo, Luzmila, Ascarrunz, Nataly, Azevedo, Celso, Baker, Timothy, Bałazy, Radomir, Bedeau, Caroline, Berry, Nicholas, Bilous, Andrii M, Bilous, Svitlana Yu, Bissiengou, Pulchérie, Blanc, Lilian, Bobkova, Kapitolina S, Braslavskaya, Tatyana, Brienen, Roel, Burslem, David FRP, Condit, Richard, Cuni-Sanchez, Aida, Danilina, Dilshad, Del Castillo Torres, Dennis, Derroire, Géraldine, Descroix, Laurent, Sotta, Eleneide Doff, d'Oliveira, Marcus VN, Dresel, Christopher, Erwin, Terry, Evdokimenko, Mikhail D, Falck, Jan, Feldpausch, Ted R, Foli, Ernest G, Foster, Robin, Fritz, Steffen, Garcia-Abril, Antonio Damian, Gornov, Aleksey, Gornova, Maria, Gothard-Bassébé, Ernest, Gourlet-Fleury, Sylvie, Guedes, Marcelino, Hamer, Keith C, Susanty, Farida Herry, Higuchi, Niro, Coronado, Eurídice N Honorio, Hubau, Wannes, Hubbell, Stephen, Ilstedt, Ulrik, Ivanov, Viktor V, Kanashiro, Milton, Karlsson, Anders, Karminov, Viktor N, Killeen, Timothy, Koffi, Jean-Claude Konan, Konovalova, Maria, Kraxner, Florian, Krejza, Jan, Krisnawati, Haruni, Krivobokov, Leonid V, Kuznetsov, Mikhail A, Lakyda, Ivan, Lakyda, Petro I, Licona, Juan Carlos, Lucas, Richard M, Lukina, Natalia, Lussetti, Daniel, Malhi, Yadvinder, Manzanera, José Antonio, Marimon, Beatriz, Junior, Ben Hur Marimon, Martinez, Rodolfo Vasquez, Martynenko, Olga V, Matsala, Maksym, Matyashuk, Raisa K, Mazzei, Lucas, Memiaghe, Hervé, Mendoza, Casimiro, Mendoza, Abel Monteagudo, Moroziuk, Olga V, Mukhortova, Liudmila, Musa, Samsudin, Nazimova, Dina I, Okuda, Toshinori, Oliveira, Luis Claudio, Ontikov, Petr V, Osipov, Andrey F, Pietsch, Stephan, Playfair, Maureen, Poulsen, John, Radchenko, Vladimir G, Rodney, Kenneth, Rozak, Andes H, Ruschel, Ademir, Rutishauser, Ervan, See, Linda, Shchepashchenko, Maria, Shevchenko, Nikolay, Shvidenko, Anatoly, Silveira, Marcos, Singh, James, Sonké, Bonaventure, Souza, Cintia, Stereńczak, Krzysztof, Stonozhenko, Leonid, Sullivan, Martin JP, Szatniewska, Justyna, Taedoumg, Hermann, Ter Steege, Hans, Tikhonova, Elena, Toledo, Marisol, Trefilova, Olga V, Valbuena, Ruben, Gamarra, Luis Valenzuela, Vasiliev, Sergey, Vedrova, Estella F, Verhovets, Sergey V, Vidal, Edson, Vladimirova, Nadezhda A, Vleminckx, Jason, Vos, Vincent A, Vozmitel, Foma K, Wanek, Wolfgang, West, Thales AP, Woell, Hannsjorg, Woods, John T, Wortel, Verginia, Yamada, Toshihiro, Nur Hajar, Zamah Shari, and Zo-Bi, Irié Casimir

Abstract

Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

Published
2019

13. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass.

Author

Schepaschenko, Dmitry, Chave, Jérôme, Phillips, Oliver L, Lewis, Simon L, Davies, Stuart J, Réjou-Méchain, Maxime, Sist, Plinio, Scipal, Klaus, Perger, Christoph, Herault, Bruno, Labrière, Nicolas, Hofhansl, Florian, Affum-Baffoe, Kofi, Aleinikov, Alexei, Alonso, Alfonso, Amani, Christian, Araujo-Murakami, Alejandro, Armston, John, Arroyo, Luzmila, Ascarrunz, Nataly, Azevedo, Celso, Baker, Timothy, Bałazy, Radomir, Bedeau, Caroline, Berry, Nicholas, Bilous, Andrii M, Bilous, Svitlana Yu, Bissiengou, Pulchérie, Blanc, Lilian, Bobkova, Kapitolina S, Braslavskaya, Tatyana, Brienen, Roel, Burslem, David FRP, Condit, Richard, Cuni-Sanchez, Aida, Danilina, Dilshad, Del Castillo Torres, Dennis, Derroire, Géraldine, Descroix, Laurent, Sotta, Eleneide Doff, d'Oliveira, Marcus VN, Dresel, Christopher, Erwin, Terry, Evdokimenko, Mikhail D, Falck, Jan, Feldpausch, Ted R, Foli, Ernest G, Foster, Robin, Fritz, Steffen, Garcia-Abril, Antonio Damian, Gornov, Aleksey, Gornova, Maria, Gothard-Bassébé, Ernest, Gourlet-Fleury, Sylvie, Guedes, Marcelino, Hamer, Keith C, Susanty, Farida Herry, Higuchi, Niro, Coronado, Eurídice N Honorio, Hubau, Wannes, Hubbell, Stephen, Ilstedt, Ulrik, Ivanov, Viktor V, Kanashiro, Milton, Karlsson, Anders, Karminov, Viktor N, Killeen, Timothy, Koffi, Jean-Claude Konan, Konovalova, Maria, Kraxner, Florian, Krejza, Jan, Krisnawati, Haruni, Krivobokov, Leonid V, Kuznetsov, Mikhail A, Lakyda, Ivan, Lakyda, Petro I, Licona, Juan Carlos, Lucas, Richard M, Lukina, Natalia, Lussetti, Daniel, Malhi, Yadvinder, Manzanera, José Antonio, Marimon, Beatriz, Junior, Ben Hur Marimon, Martinez, Rodolfo Vasquez, Martynenko, Olga V, Matsala, Maksym, Matyashuk, Raisa K, Mazzei, Lucas, Memiaghe, Hervé, Mendoza, Casimiro, Mendoza, Abel Monteagudo, Moroziuk, Olga V, Mukhortova, Liudmila, Musa, Samsudin, Nazimova, Dina I, Okuda, Toshinori, Oliveira, Luis Claudio, Ontikov, Petr V, Osipov, Andrey F, Pietsch, Stephan, Playfair, Maureen, Poulsen, John, Radchenko, Vladimir G, Rodney, Kenneth, Rozak, Andes H, Ruschel, Ademir, Rutishauser, Ervan, See, Linda, Shchepashchenko, Maria, Shevchenko, Nikolay, Shvidenko, Anatoly, Silveira, Marcos, Singh, James, Sonké, Bonaventure, Souza, Cintia, Stereńczak, Krzysztof, Stonozhenko, Leonid, Sullivan, Martin JP, Szatniewska, Justyna, Taedoumg, Hermann, Ter Steege, Hans, Tikhonova, Elena, Toledo, Marisol, Trefilova, Olga V, Valbuena, Ruben, Gamarra, Luis Valenzuela, Vasiliev, Sergey, Vedrova, Estella F, Verhovets, Sergey V, Vidal, Edson, Vladimirova, Nadezhda A, Vleminckx, Jason, Vos, Vincent A, Vozmitel, Foma K, Wanek, Wolfgang, West, Thales AP, Woell, Hannsjorg, Woods, John T, Wortel, Verginia, Yamada, Toshihiro, Nur Hajar, Zamah Shari, Zo-Bi, Irié Casimir, Schepaschenko, Dmitry, Chave, Jérôme, Phillips, Oliver L, Lewis, Simon L, Davies, Stuart J, Réjou-Méchain, Maxime, Sist, Plinio, Scipal, Klaus, Perger, Christoph, Herault, Bruno, Labrière, Nicolas, Hofhansl, Florian, Affum-Baffoe, Kofi, Aleinikov, Alexei, Alonso, Alfonso, Amani, Christian, Araujo-Murakami, Alejandro, Armston, John, Arroyo, Luzmila, Ascarrunz, Nataly, Azevedo, Celso, Baker, Timothy, Bałazy, Radomir, Bedeau, Caroline, Berry, Nicholas, Bilous, Andrii M, Bilous, Svitlana Yu, Bissiengou, Pulchérie, Blanc, Lilian, Bobkova, Kapitolina S, Braslavskaya, Tatyana, Brienen, Roel, Burslem, David FRP, Condit, Richard, Cuni-Sanchez, Aida, Danilina, Dilshad, Del Castillo Torres, Dennis, Derroire, Géraldine, Descroix, Laurent, Sotta, Eleneide Doff, d'Oliveira, Marcus VN, Dresel, Christopher, Erwin, Terry, Evdokimenko, Mikhail D, Falck, Jan, Feldpausch, Ted R, Foli, Ernest G, Foster, Robin, Fritz, Steffen, Garcia-Abril, Antonio Damian, Gornov, Aleksey, Gornova, Maria, Gothard-Bassébé, Ernest, Gourlet-Fleury, Sylvie, Guedes, Marcelino, Hamer, Keith C, Susanty, Farida Herry, Higuchi, Niro, Coronado, Eurídice N Honorio, Hubau, Wannes, Hubbell, Stephen, Ilstedt, Ulrik, Ivanov, Viktor V, Kanashiro, Milton, Karlsson, Anders, Karminov, Viktor N, Killeen, Timothy, Koffi, Jean-Claude Konan, Konovalova, Maria, Kraxner, Florian, Krejza, Jan, Krisnawati, Haruni, Krivobokov, Leonid V, Kuznetsov, Mikhail A, Lakyda, Ivan, Lakyda, Petro I, Licona, Juan Carlos, Lucas, Richard M, Lukina, Natalia, Lussetti, Daniel, Malhi, Yadvinder, Manzanera, José Antonio, Marimon, Beatriz, Junior, Ben Hur Marimon, Martinez, Rodolfo Vasquez, Martynenko, Olga V, Matsala, Maksym, Matyashuk, Raisa K, Mazzei, Lucas, Memiaghe, Hervé, Mendoza, Casimiro, Mendoza, Abel Monteagudo, Moroziuk, Olga V, Mukhortova, Liudmila, Musa, Samsudin, Nazimova, Dina I, Okuda, Toshinori, Oliveira, Luis Claudio, Ontikov, Petr V, Osipov, Andrey F, Pietsch, Stephan, Playfair, Maureen, Poulsen, John, Radchenko, Vladimir G, Rodney, Kenneth, Rozak, Andes H, Ruschel, Ademir, Rutishauser, Ervan, See, Linda, Shchepashchenko, Maria, Shevchenko, Nikolay, Shvidenko, Anatoly, Silveira, Marcos, Singh, James, Sonké, Bonaventure, Souza, Cintia, Stereńczak, Krzysztof, Stonozhenko, Leonid, Sullivan, Martin JP, Szatniewska, Justyna, Taedoumg, Hermann, Ter Steege, Hans, Tikhonova, Elena, Toledo, Marisol, Trefilova, Olga V, Valbuena, Ruben, Gamarra, Luis Valenzuela, Vasiliev, Sergey, Vedrova, Estella F, Verhovets, Sergey V, Vidal, Edson, Vladimirova, Nadezhda A, Vleminckx, Jason, Vos, Vincent A, Vozmitel, Foma K, Wanek, Wolfgang, West, Thales AP, Woell, Hannsjorg, Woods, John T, Wortel, Verginia, Yamada, Toshihiro, Nur Hajar, Zamah Shari, and Zo-Bi, Irié Casimir

Abstract

Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

Published
2019

14. Kvalifikace postupu svařování hliníkové slitiny AW-5083 H111

Author

Sigmund, Marian, Mrňa, Libor, Krejza, Jan, Sigmund, Marian, Mrňa, Libor, and Krejza, Jan

Abstract

Diplomová práce se zabývá kvalifikací postupu svařování hliníkové slitiny EN AW-5083 H111. Tato hliníková slitina byla použita pro výrobu Venturiho trubice. Proto byla vypracována literární rešerše zabývající se vlastnostmi a použitím hliníku a jeho slitin. Další kapitola práce pojednává o svařitelnosti hliníku, hliníkových slitin a o svařitelnosti slitiny EN AW-5083. Část práce je věnována použité metodě TIG a jejím specifikům při svařování hliníkových materiálů. Praktická část diplomové práce se zabývá vlastní kvalifikací svařovacích postupů dle příslušné normy a vyhodnocením podmínek výroby dle výrobkové normy. Poslední kapitola pojednává o celkovém výrobním postupu Venturiho trubice., The diploma thesis deals with the qualification of welding process of aluminum alloy EN AW-5083 H111. This aluminum alloy was used to make a Venturi tube. Therefore, a literature review has been developed dealing with the properties and use of aluminum and its alloys. The next chapter deals with the weldability of aluminum, aluminum alloys and the weldability of EN AW-5083 alloy. Part of the work is devoted to the used TIG method and its specifics when welding aluminum materials. The practical part of the thesis deals with the actual qualification of welding procedures according to the relevant standard and evaluation of production conditions according to the product standard. The last chapter deals with the overall manufacturing process of the Venturi tube.

15. Kvalifikace postupu svařování hliníkové slitiny AW-5083 H111

Author

Sigmund, Marian, Mrňa, Libor, Krejza, Jan, Sigmund, Marian, Mrňa, Libor, and Krejza, Jan

Abstract

Diplomová práce se zabývá kvalifikací postupu svařování hliníkové slitiny EN AW-5083 H111. Tato hliníková slitina byla použita pro výrobu Venturiho trubice. Proto byla vypracována literární rešerše zabývající se vlastnostmi a použitím hliníku a jeho slitin. Další kapitola práce pojednává o svařitelnosti hliníku, hliníkových slitin a o svařitelnosti slitiny EN AW-5083. Část práce je věnována použité metodě TIG a jejím specifikům při svařování hliníkových materiálů. Praktická část diplomové práce se zabývá vlastní kvalifikací svařovacích postupů dle příslušné normy a vyhodnocením podmínek výroby dle výrobkové normy. Poslední kapitola pojednává o celkovém výrobním postupu Venturiho trubice., The diploma thesis deals with the qualification of welding process of aluminum alloy EN AW-5083 H111. This aluminum alloy was used to make a Venturi tube. Therefore, a literature review has been developed dealing with the properties and use of aluminum and its alloys. The next chapter deals with the weldability of aluminum, aluminum alloys and the weldability of EN AW-5083 alloy. Part of the work is devoted to the used TIG method and its specifics when welding aluminum materials. The practical part of the thesis deals with the actual qualification of welding procedures according to the relevant standard and evaluation of production conditions according to the product standard. The last chapter deals with the overall manufacturing process of the Venturi tube.

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