Articles | Volume 9, issue 1
https://doi.org/10.5194/gi-9-239-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-9-239-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 May 2020
Research article |
| 29 May 2020
| 29 May 2020
Soil CO2 efflux errors are lognormally distributed – implications and guidance
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße
10, 07745 Jena, Germany
Oscar Perez-Priego
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße
10, 07745 Jena, Germany
Kendalynn Morris
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße
10, 07745 Jena, Germany
Tarek S. El-Madany
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße
10, 07745 Jena, Germany
Mirco Migliavacca
Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße
10, 07745 Jena, Germany
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Richard Nair, Yunpeng Luo, Tarek El-Madany, Victor Rolo, Javier Pacheco-Labrador, Silvia Caldararu, Kendalynn A. Morris, Marion Schrumpf, Arnaud Carrara, Gerardo Moreno, Markus Reichstein, and Mirco Migliavacca
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Preprint archived
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We studied a Mediterranean ecosystem to understand carbon uptake efficiency and its controls. These ecosystems face potential nitrogen-phosphorus imbalances due to pollution. Analysing six years of carbon data, we assessed controls at different timeframes. This is crucial for predicting such vulnerable regions. Our findings revealed N limitation on C uptake, not N:P imbalance, and strong influence of water availability. whether drought or wetness promoted net C uptake depended on timescale.
Christine Fischer-Bedtke, Johanna Clara Metzger, Gökben Demir, Thomas Wutzler, and Anke Hildebrandt
Hydrol. Earth Syst. Sci., 27, 2899–2918, https://doi.org/10.5194/hess-27-2899-2023, https://doi.org/10.5194/hess-27-2899-2023, 2023
Short summary
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Canopies change how rain reaches the soil: some spots receive more and others less water. It has long been debated whether this also leads to locally wetter and drier soil. We checked this using measurements of canopy drip and soil moisture. We found that the increase in soil water content after rain was aligned with canopy drip. Independently, the soil storage reaction was dampened in locations prone to drainage, like hig-macroporosity areas, suggesting that canopy drip enhances bypass flow.
A. Elia, M. Pickering, M. Girardello, G. Oton, G. Ceccherini, S. Capobianco, M. Piccardo, G. Forzieri, M. Migliavacca, and A. Cescatti
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Lin Yu, Silvia Caldararu, Bernhard Ahrens, Thomas Wutzler, Marion Schrumpf, Julian Helfenstein, Chiara Pistocchi, and Sönke Zaehle
Biogeosciences, 20, 57–73, https://doi.org/10.5194/bg-20-57-2023, https://doi.org/10.5194/bg-20-57-2023, 2023
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Sinikka Jasmin Paulus, Tarek Sebastian El-Madany, René Orth, Anke Hildebrandt, Thomas Wutzler, Arnaud Carrara, Gerardo Moreno, Oscar Perez-Priego, Olaf Kolle, Markus Reichstein, and Mirco Migliavacca
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Thomas Wutzler, Lin Yu, Marion Schrumpf, and Sönke Zaehle
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Josephin Kroll, Jasper M. C. Denissen, Mirco Migliavacca, Wantong Li, Anke Hildebrandt, and Rene Orth
Biogeosciences, 19, 477–489, https://doi.org/10.5194/bg-19-477-2022, https://doi.org/10.5194/bg-19-477-2022, 2022
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Rafael Poyatos, Víctor Granda, Víctor Flo, Mark A. Adams, Balázs Adorján, David Aguadé, Marcos P. M. Aidar, Scott Allen, M. Susana Alvarado-Barrientos, Kristina J. Anderson-Teixeira, Luiza Maria Aparecido, M. Altaf Arain, Ismael Aranda, Heidi Asbjornsen, Robert Baxter, Eric Beamesderfer, Z. Carter Berry, Daniel Berveiller, Bethany Blakely, Johnny Boggs, Gil Bohrer, Paul V. Bolstad, Damien Bonal, Rosvel Bracho, Patricia Brito, Jason Brodeur, Fernando Casanoves, Jérôme Chave, Hui Chen, Cesar Cisneros, Kenneth Clark, Edoardo Cremonese, Hongzhong Dang, Jorge S. David, Teresa S. David, Nicolas Delpierre, Ankur R. Desai, Frederic C. Do, Michal Dohnal, Jean-Christophe Domec, Sebinasi Dzikiti, Colin Edgar, Rebekka Eichstaedt, Tarek S. El-Madany, Jan Elbers, Cleiton B. Eller, Eugénie S. Euskirchen, Brent Ewers, Patrick Fonti, Alicia Forner, David I. Forrester, Helber C. Freitas, Marta Galvagno, Omar Garcia-Tejera, Chandra Prasad Ghimire, Teresa E. Gimeno, John Grace, André Granier, Anne Griebel, Yan Guangyu, Mark B. Gush, Paul J. Hanson, Niles J. Hasselquist, Ingo Heinrich, Virginia Hernandez-Santana, Valentine Herrmann, Teemu Hölttä, Friso Holwerda, James Irvine, Supat Isarangkool Na Ayutthaya, Paul G. Jarvis, Hubert Jochheim, Carlos A. Joly, Julia Kaplick, Hyun Seok Kim, Leif Klemedtsson, Heather Kropp, Fredrik Lagergren, Patrick Lane, Petra Lang, Andrei Lapenas, Víctor Lechuga, Minsu Lee, Christoph Leuschner, Jean-Marc Limousin, Juan Carlos Linares, Maj-Lena Linderson, Anders Lindroth, Pilar Llorens, Álvaro López-Bernal, Michael M. Loranty, Dietmar Lüttschwager, Cate Macinnis-Ng, Isabelle Maréchaux, Timothy A. Martin, Ashley Matheny, Nate McDowell, Sean McMahon, Patrick Meir, Ilona Mészáros, Mirco Migliavacca, Patrick Mitchell, Meelis Mölder, Leonardo Montagnani, Georgianne W. Moore, Ryogo Nakada, Furong Niu, Rachael H. Nolan, Richard Norby, Kimberly Novick, Walter Oberhuber, Nikolaus Obojes, A. Christopher Oishi, Rafael S. Oliveira, Ram Oren, Jean-Marc Ourcival, Teemu Paljakka, Oscar Perez-Priego, Pablo L. Peri, Richard L. Peters, Sebastian Pfautsch, William T. Pockman, Yakir Preisler, Katherine Rascher, George Robinson, Humberto Rocha, Alain Rocheteau, Alexander Röll, Bruno H. P. Rosado, Lucy Rowland, Alexey V. Rubtsov, Santiago Sabaté, Yann Salmon, Roberto L. Salomón, Elisenda Sánchez-Costa, Karina V. R. Schäfer, Bernhard Schuldt, Alexandr Shashkin, Clément Stahl, Marko Stojanović, Juan Carlos Suárez, Ge Sun, Justyna Szatniewska, Fyodor Tatarinov, Miroslav Tesař, Frank M. Thomas, Pantana Tor-ngern, Josef Urban, Fernando Valladares, Christiaan van der Tol, Ilja van Meerveld, Andrej Varlagin, Holm Voigt, Jeffrey Warren, Christiane Werner, Willy Werner, Gerhard Wieser, Lisa Wingate, Stan Wullschleger, Koong Yi, Roman Zweifel, Kathy Steppe, Maurizio Mencuccini, and Jordi Martínez-Vilalta
Earth Syst. Sci. Data, 13, 2607–2649, https://doi.org/10.5194/essd-13-2607-2021, https://doi.org/10.5194/essd-13-2607-2021, 2021
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Transpiration is a key component of global water balance, but it is poorly constrained from available observations. We present SAPFLUXNET, the first global database of tree-level transpiration from sap flow measurements, containing 202 datasets and covering a wide range of ecological conditions. SAPFLUXNET and its accompanying R software package
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Daniel E. Pabon-Moreno, Talie Musavi, Mirco Migliavacca, Markus Reichstein, Christine Römermann, and Miguel D. Mahecha
Biogeosciences, 17, 3991–4006, https://doi.org/10.5194/bg-17-3991-2020, https://doi.org/10.5194/bg-17-3991-2020, 2020
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Ecosystem CO2 uptake changes in time depending on climate conditions. In this study, we analyze how different climate variables affect the timing when CO2 uptake is at a maximum (DOYGPPmax). We found that the joint effects of radiation, temperature, and vapor pressure deficit are the most relevant controlling factors of DOYGPPmax and that if they increase, DOYGPPmax will happen earlier. These results help us to better understand how CO2 uptake could be affected by climate change.
Barbara Marcolla, Mirco Migliavacca, Christian Rödenbeck, and Alessandro Cescatti
Biogeosciences, 17, 2365–2379, https://doi.org/10.5194/bg-17-2365-2020, https://doi.org/10.5194/bg-17-2365-2020, 2020
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This work investigates the sensitivity of terrestrial CO2 fluxes to climate drivers. We observed that CO2 flux is mostly controlled by temperature during the growing season and by radiation off season. We also observe that radiation importance is increasing over time while sensitivity to temperature is decreasing in Eurasia. Ultimately this analysis shows that ecosystem response to climate is changing, with potential repercussions for future terrestrial sink and land role in climate mitigation.
Martin Jung, Christopher Schwalm, Mirco Migliavacca, Sophia Walther, Gustau Camps-Valls, Sujan Koirala, Peter Anthoni, Simon Besnard, Paul Bodesheim, Nuno Carvalhais, Frédéric Chevallier, Fabian Gans, Daniel S. Goll, Vanessa Haverd, Philipp Köhler, Kazuhito Ichii, Atul K. Jain, Junzhi Liu, Danica Lombardozzi, Julia E. M. S. Nabel, Jacob A. Nelson, Michael O'Sullivan, Martijn Pallandt, Dario Papale, Wouter Peters, Julia Pongratz, Christian Rödenbeck, Stephen Sitch, Gianluca Tramontana, Anthony Walker, Ulrich Weber, and Markus Reichstein
Biogeosciences, 17, 1343–1365, https://doi.org/10.5194/bg-17-1343-2020, https://doi.org/10.5194/bg-17-1343-2020, 2020
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We test the approach of producing global gridded carbon fluxes based on combining machine learning with local measurements, remote sensing and climate data. We show that we can reproduce seasonal variations in carbon assimilated by plants via photosynthesis and in ecosystem net carbon balance. The ecosystem’s mean carbon balance and carbon flux trends require cautious interpretation. The analysis paves the way for future improvements of the data-driven assessment of carbon fluxes.
Lin Yu, Bernhard Ahrens, Thomas Wutzler, Marion Schrumpf, and Sönke Zaehle
Geosci. Model Dev., 13, 783–803, https://doi.org/10.5194/gmd-13-783-2020, https://doi.org/10.5194/gmd-13-783-2020, 2020
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In this paper, we have developed a new soil organic carbon model that describes the formation and turnover of soil organic matter in a more mechanistic manner. With this model, we are able to better represent how microorganisms and nutrient processes influence the below-ground carbon storage and better explain some observed features of soil organic matter. We hope this model can increase our confidence in predictions of future climate change, particularly on how soil can mitigate the process.
Christopher Krich, Jakob Runge, Diego G. Miralles, Mirco Migliavacca, Oscar Perez-Priego, Tarek El-Madany, Arnaud Carrara, and Miguel D. Mahecha
Biogeosciences, 17, 1033–1061, https://doi.org/10.5194/bg-17-1033-2020, https://doi.org/10.5194/bg-17-1033-2020, 2020
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Causal inference promises new insight into biosphere–atmosphere interactions using time series only. To understand the behaviour of a specific method on such data, we used artificial and observation-based data. The observed structures are very interpretable and reveal certain ecosystem-specific behaviour, as only a few relevant links remain, in contrast to pure correlation techniques. Thus, causal inference allows to us gain well-constrained insights into processes and interactions.
Javier Pacheco-Labrador, Tarek S. El-Madany, M. Pilar Martin, Rosario Gonzalez-Cascon, Arnaud Carrara, Gerardo Moreno, Oscar Perez-Priego, Tiana Hammer, Heiko Moossen, Kathrin Henkel, Olaf Kolle, David Martini, Vicente Burchard, Christiaan van der Tol, Karl Segl, Markus Reichstein, and Mirco Migliavacca
Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-501, https://doi.org/10.5194/bg-2019-501, 2020
Revised manuscript not accepted
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The new generation of sensors on-board satellites have the potential to provide richer information about the function of vegetation than before. This information, nowadays missing, is fundamental to improve our understanding and prediction of carbon and water cycles, and therefore to anticipate effects and responses to Climate Change. In this manuscript we propose a method to exploit the data provided by these satellites to successfully obtain this information key to face Climate Change.
Paul C. Stoy, Tarek S. El-Madany, Joshua B. Fisher, Pierre Gentine, Tobias Gerken, Stephen P. Good, Anne Klosterhalfen, Shuguang Liu, Diego G. Miralles, Oscar Perez-Priego, Angela J. Rigden, Todd H. Skaggs, Georg Wohlfahrt, Ray G. Anderson, A. Miriam J. Coenders-Gerrits, Martin Jung, Wouter H. Maes, Ivan Mammarella, Matthias Mauder, Mirco Migliavacca, Jacob A. Nelson, Rafael Poyatos, Markus Reichstein, Russell L. Scott, and Sebastian Wolf
Biogeosciences, 16, 3747–3775, https://doi.org/10.5194/bg-16-3747-2019, https://doi.org/10.5194/bg-16-3747-2019, 2019
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Key findings are the nearly optimal response of T to atmospheric water vapor pressure deficits across methods and scales. Additionally, the notion that T / ET intermittently approaches 1, which is a basis for many partitioning methods, does not hold for certain methods and ecosystems. To better constrain estimates of E and T from combined ET measurements, we propose a combination of independent measurement techniques to better constrain E and T at the ecosystem scale.
Vicente Burchard-Levine, Héctor Nieto, David Riaño, Mirco Migliavacca, Tarek S. El-Madany, Oscar Perez-Priego, Arnaud Carrara, and M. Pilar Martín
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-354, https://doi.org/10.5194/hess-2019-354, 2019
Manuscript not accepted for further review
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Models are increasingly being used to understand surface water fluxes, which are of high use to manage crop irrigation, and to understand the earth system´s response to environmental change. However, often these models have higher uncertainty in complex ecosystems with multiple layers of vegetation. This manuscript adapts and analyzes a well known model to better simulate water fluxes for a savanna-like ecosystem and to understand the influence that vegetation has on their predictions.
Richard K. F. Nair, Kendalynn A. Morris, Martin Hertel, Yunpeng Luo, Gerardo Moreno, Markus Reichstein, Marion Schrumpf, and Mirco Migliavacca
Biogeosciences, 16, 1883–1901, https://doi.org/10.5194/bg-16-1883-2019, https://doi.org/10.5194/bg-16-1883-2019, 2019
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We investigated how nutrient availability affects seasonal timing of root growth and death in a Spanish savanna, adapted to a long summer drought. We found that nitrogen (N) additions led to more root biomass but number of roots was higher with N and phosphorus together. These effects were strongly affected by the time of year. In autumn root growth occurred after leaf production. This has implications for how we understand biomass production and carbon uptake in these systems.
Biagio Di Mauro, Roberto Garzonio, Micol Rossini, Gianluca Filippa, Paolo Pogliotti, Marta Galvagno, Umberto Morra di Cella, Mirco Migliavacca, Giovanni Baccolo, Massimiliano Clemenza, Barbara Delmonte, Valter Maggi, Marie Dumont, François Tuzet, Matthieu Lafaysse, Samuel Morin, Edoardo Cremonese, and Roberto Colombo
The Cryosphere, 13, 1147–1165, https://doi.org/10.5194/tc-13-1147-2019, https://doi.org/10.5194/tc-13-1147-2019, 2019
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The snow albedo reduction due to dust from arid regions alters the melting dynamics of the snowpack, resulting in earlier snowmelt. We estimate up to 38 days of anticipated snow disappearance for a season that was characterized by a strong dust deposition event. This process has a series of further impacts. For example, earlier snowmelts may alter the hydrological cycle in the Alps, induce higher sensitivity to late summer drought, and finally impact vegetation and animal phenology.
Boaz Hilman, Jan Muhr, Susan E. Trumbore, Norbert Kunert, Mariah S. Carbone, Päivi Yuval, S. Joseph Wright, Gerardo Moreno, Oscar Pérez-Priego, Mirco Migliavacca, Arnaud Carrara, José M. Grünzweig, Yagil Osem, Tal Weiner, and Alon Angert
Biogeosciences, 16, 177–191, https://doi.org/10.5194/bg-16-177-2019, https://doi.org/10.5194/bg-16-177-2019, 2019
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Combined measurement of CO2 / O2 fluxes in tree stems suggested that on average 41 % of the respired CO2 was not emitted locally to the atmosphere. This finding strengthens the recognition that CO2 efflux from tree stems is not an accurate measure of respiration. The CO2 / O2 fluxes did not vary as expected if CO2 dissolution in the xylem sap was the main driver for the CO2 retention. We suggest the examination of refixation of respired CO2 as a possible mechanism for CO2 retention.
Thomas Wutzler, Antje Lucas-Moffat, Mirco Migliavacca, Jürgen Knauer, Kerstin Sickel, Ladislav Šigut, Olaf Menzer, and Markus Reichstein
Biogeosciences, 15, 5015–5030, https://doi.org/10.5194/bg-15-5015-2018, https://doi.org/10.5194/bg-15-5015-2018, 2018
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Net fluxes of carbon dioxide at the ecosystem level measured by eddy covariance are a main source for understanding biosphere–atmosphere interactions. However, there is a need for more usable and extensible tools for post-processing steps of the half-hourly flux data. Therefore, we developed the REddyProc package, providing data filtering, gap filling, and flux partitioning. The extensible functions are compatible with state-of-the-art tools but allow easier integration in extended analysis.
Jacob A. Nelson, Nuno Carvalhais, Mirco Migliavacca, Markus Reichstein, and Martin Jung
Biogeosciences, 15, 2433–2447, https://doi.org/10.5194/bg-15-2433-2018, https://doi.org/10.5194/bg-15-2433-2018, 2018
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Plants have typical daily carbon uptake and water loss cycles. However, these cycles may change under periods of duress, such as water limitation. Here we identify two types of patterns in response to water limitations: a tendency to lose more water in the morning than afternoon and a decoupling of the carbon and water cycles. The findings show differences in responses by trees and grasses and suggest that morning shifts may be more efficient at gaining carbon per unit water used.
Jannis von Buttlar, Jakob Zscheischler, Anja Rammig, Sebastian Sippel, Markus Reichstein, Alexander Knohl, Martin Jung, Olaf Menzer, M. Altaf Arain, Nina Buchmann, Alessandro Cescatti, Damiano Gianelle, Gerard Kiely, Beverly E. Law, Vincenzo Magliulo, Hank Margolis, Harry McCaughey, Lutz Merbold, Mirco Migliavacca, Leonardo Montagnani, Walter Oechel, Marian Pavelka, Matthias Peichl, Serge Rambal, Antonio Raschi, Russell L. Scott, Francesco P. Vaccari, Eva van Gorsel, Andrej Varlagin, Georg Wohlfahrt, and Miguel D. Mahecha
Biogeosciences, 15, 1293–1318, https://doi.org/10.5194/bg-15-1293-2018, https://doi.org/10.5194/bg-15-1293-2018, 2018
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Our work systematically quantifies extreme heat and drought event impacts on gross primary productivity (GPP) and ecosystem respiration globally across a wide range of ecosystems. We show that heat extremes typically increased mainly respiration whereas drought decreased both fluxes. Combined heat and drought extremes had opposing effects offsetting each other for respiration, but there were also strong reductions in GPP and hence the strongest reductions in the ecosystems carbon sink capacity.
Iulia Ilie, Peter Dittrich, Nuno Carvalhais, Martin Jung, Andreas Heinemeyer, Mirco Migliavacca, James I. L. Morison, Sebastian Sippel, Jens-Arne Subke, Matthew Wilkinson, and Miguel D. Mahecha
Geosci. Model Dev., 10, 3519–3545, https://doi.org/10.5194/gmd-10-3519-2017, https://doi.org/10.5194/gmd-10-3519-2017, 2017
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Accurate representation of land-atmosphere carbon fluxes is essential for future climate projections, although some of the responses of CO2 fluxes to climate often remain uncertain. The increase in available data allows for new approaches in their modelling. We automatically developed models for ecosystem and soil carbon respiration using a machine learning approach. When compared with established respiration models, we found that they are better in prediction as well as offering new insights.
Miguel D. Mahecha, Fabian Gans, Sebastian Sippel, Jonathan F. Donges, Thomas Kaminski, Stefan Metzger, Mirco Migliavacca, Dario Papale, Anja Rammig, and Jakob Zscheischler
Biogeosciences, 14, 4255–4277, https://doi.org/10.5194/bg-14-4255-2017, https://doi.org/10.5194/bg-14-4255-2017, 2017
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We investigate the likelihood of ecological in situ networks to detect and monitor the impact of extreme events in the terrestrial biosphere.
Nicolas Dalla Valle, Karin Potthast, Stefanie Meyer, Beate Michalzik, Anke Hildebrandt, and Thomas Wutzler
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-336, https://doi.org/10.5194/hess-2017-336, 2017
Manuscript not accepted for further review
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Dual permeability models are an important tool to simulate water movement in soils and can be used to assess the risk of groundwater contamination by pesticides or the risk of flooding after strong precipitation events. However, their application is often hampered by the large amount of data they require. We developed a method to run this kind of models based on mostly just soil water content measurements, which will hopefully increase their usage and improve environmental risk assessment.
B. Di Mauro, F. Fava, P. Frattini, A. Camia, R. Colombo, and M. Migliavacca
Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npgd-2-1553-2015, https://doi.org/10.5194/npgd-2-1553-2015, 2015
Preprint withdrawn
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In this paper, we analyse the probability distribution of wildfires burned area at European scale. We evaluate the performance of a land surface model using power law scaling as a benchmark. Our analysis suggests that only high latitude biomes are described by a power law distribution, and we relate this feature with the less impact of antrhopogenic activity. The benchmarking analysis showed that some refinements are needed in the model structure for reproducing emerging properties of wildfires
O. Perez-Priego, J. Guan, M. Rossini, F. Fava, T. Wutzler, G. Moreno, N. Carvalhais, A. Carrara, O. Kolle, T. Julitta, M. Schrumpf, M. Reichstein, and M. Migliavacca
Biogeosciences, 12, 6351–6367, https://doi.org/10.5194/bg-12-6351-2015, https://doi.org/10.5194/bg-12-6351-2015, 2015
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Sun-induced chlorophyll fluorescence and photochemical reflectance index revealed controls of climate and nutrient availability on photosynthesis (gross primary production, GPP). Meteo-driven models (MMs) were unable to describe nutrient-induced effects on GPP. Important implications can be derived from these results, and uncertainties in the prediction of global GPP still remain when MMs do not account for plant nutrient availability.
L. Wingate, J. Ogée, E. Cremonese, G. Filippa, T. Mizunuma, M. Migliavacca, C. Moisy, M. Wilkinson, C. Moureaux, G. Wohlfahrt, A. Hammerle, L. Hörtnagl, C. Gimeno, A. Porcar-Castell, M. Galvagno, T. Nakaji, J. Morison, O. Kolle, A. Knohl, W. Kutsch, P. Kolari, E. Nikinmaa, A. Ibrom, B. Gielen, W. Eugster, M. Balzarolo, D. Papale, K. Klumpp, B. Köstner, T. Grünwald, R. Joffre, J.-M. Ourcival, M. Hellstrom, A. Lindroth, C. George, B. Longdoz, B. Genty, J. Levula, B. Heinesch, M. Sprintsin, D. Yakir, T. Manise, D. Guyon, H. Ahrends, A. Plaza-Aguilar, J. H. Guan, and J. Grace
Biogeosciences, 12, 5995–6015, https://doi.org/10.5194/bg-12-5995-2015, https://doi.org/10.5194/bg-12-5995-2015, 2015
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The timing of plant development stages and their response to climate and management were investigated using a network of digital cameras installed across different European ecosystems. Using the relative red, green and blue content of images we showed that the green signal could be used to estimate the length of the growing season in broadleaf forests. We also developed a model that predicted the seasonal variations of camera RGB signals and how they relate to leaf pigment content and area well.
S. Hashimoto, N. Carvalhais, A. Ito, M. Migliavacca, K. Nishina, and M. Reichstein
Biogeosciences, 12, 4121–4132, https://doi.org/10.5194/bg-12-4121-2015, https://doi.org/10.5194/bg-12-4121-2015, 2015
M. Forkel, N. Carvalhais, S. Schaphoff, W. v. Bloh, M. Migliavacca, M. Thurner, and K. Thonicke
Biogeosciences, 11, 7025–7050, https://doi.org/10.5194/bg-11-7025-2014, https://doi.org/10.5194/bg-11-7025-2014, 2014
B. Ahrens, M. Reichstein, W. Borken, J. Muhr, S. E. Trumbore, and T. Wutzler
Biogeosciences, 11, 2147–2168, https://doi.org/10.5194/bg-11-2147-2014, https://doi.org/10.5194/bg-11-2147-2014, 2014
T. Wutzler and M. Reichstein
Biogeosciences, 10, 2089–2103, https://doi.org/10.5194/bg-10-2089-2013, https://doi.org/10.5194/bg-10-2089-2013, 2013
M. C. Braakhekke, T. Wutzler, C. Beer, J. Kattge, M. Schrumpf, B. Ahrens, I. Schöning, M. R. Hoosbeek, B. Kruijt, P. Kabat, and M. Reichstein
Biogeosciences, 10, 399–420, https://doi.org/10.5194/bg-10-399-2013, https://doi.org/10.5194/bg-10-399-2013, 2013
Related subject area
Data management
Research on online data transmission technology in a marine controlled-source electromagnetic transmitter
GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data
CÆLIS: software for assimilation, management and processing data of an atmospheric measurement network
Extreme isotopologue disequilibrium in molecular SIMS species during SHRIMP geochronology
Noise in raw data from magnetic observatories
A comprehensive data acquisition and management system for an ecosystem-scale peatland warming and elevated CO2 experiment
The AmeriFlux data activity and data system: an evolving collection of data management techniques, tools, products and services
Martian dust devils detector over FPGA
Chentao Wang, Ming Deng, Nini Duan, Xiaoxi Ma, and Meng Wang
Geosci. Instrum. Method. Data Syst., 12, 187–200, https://doi.org/10.5194/gi-12-187-2023, https://doi.org/10.5194/gi-12-187-2023, 2023
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This paper proposes a new online data transmission technology for marine controlled-source electromagnetic (MCSEM) transmitters. The technology enables high-precision data acquisition, storage, and ethernet file transmission and offers significant convenience. This technology has the potential to revolutionize the application of MCSEM transmitters in marine explorations and to offer significant convenience.
Roberto Pierdicca and Marina Paolanti
Geosci. Instrum. Method. Data Syst., 11, 195–218, https://doi.org/10.5194/gi-11-195-2022, https://doi.org/10.5194/gi-11-195-2022, 2022
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For the processing of geomatics data, artificial intelligence (AI) offers overwhelming opportunities. The integration of AI approaches in geomatics has developed into the concept of geospatial artificial intelligence (GeoAI), which is a new paradigm for geographic knowledge discovery and beyond. This contribution outlines AI-based techniques for analysing and interpreting complex geomatics data. How AI approaches have been exploited for the interpretation of geomatic data is explained.
David Fuertes, Carlos Toledano, Ramiro González, Alberto Berjón, Benjamín Torres, Victoria E. Cachorro, and Ángel M. de Frutos
Geosci. Instrum. Method. Data Syst., 7, 67–81, https://doi.org/10.5194/gi-7-67-2018, https://doi.org/10.5194/gi-7-67-2018, 2018
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CÆLIS is a software system which aims at simplifying the management of a photometric ground-based network, providing tools by monitoring the instruments, processing the data in real time and offering the scientific community a new tool to work with the data. The present work describes the system architecture of CÆLIS and some examples of applications and data processing.
Charles W. Magee Jr., Martin Danišík, and Terry Mernagh
Geosci. Instrum. Method. Data Syst., 6, 523–536, https://doi.org/10.5194/gi-6-523-2017, https://doi.org/10.5194/gi-6-523-2017, 2017
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The paper demonstrates that isotopologue disequilibrium can be created in the SIMS ionization process, and that the specific conditions under which it is created during the oxygen bombardment of geological materials are consistent with known conditions where traditional interrelationships between ion abundances break down. Further study to determine the degree of radiation dosage at which extreme disequilibrium appears involved Raman and helium dating on a variety of well-characterized zircons.
Sergey Y. Khomutov, Oksana V. Mandrikova, Ekaterina A. Budilova, Kusumita Arora, and Lingala Manjula
Geosci. Instrum. Method. Data Syst., 6, 329–343, https://doi.org/10.5194/gi-6-329-2017, https://doi.org/10.5194/gi-6-329-2017, 2017
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Noise is a common problem for the experiments or observations. Noise in the raw data of magnetic observatories has features. The article makes an attempt to give a review of this noise, using the data from some Russian and Indian observatories.
M. B. Krassovski, J. S. Riggs, L. A. Hook, W. R. Nettles, P. J. Hanson, and T. A. Boden
Geosci. Instrum. Method. Data Syst., 4, 203–213, https://doi.org/10.5194/gi-4-203-2015, https://doi.org/10.5194/gi-4-203-2015, 2015
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Ecosystem-scale manipulation experiments are getting more complicated and require innovative approaches that help manage high volumes of in situ observations. New large-scale, well-designed, and reliable data acquisition and management systems will become common it the future. The presented approach shows an example of such a system that was built in a remote and harsh environmental location. The provided details can be used for the design of similar systems for other experiments in future.
T. A. Boden, M. Krassovski, and B. Yang
Geosci. Instrum. Method. Data Syst., 2, 165–176, https://doi.org/10.5194/gi-2-165-2013, https://doi.org/10.5194/gi-2-165-2013, 2013
E. de Lucas, M. J. Miguel, D. Mozos, and L. Vázquez
Geosci. Instrum. Method. Data Syst., 1, 23–31, https://doi.org/10.5194/gi-1-23-2012, https://doi.org/10.5194/gi-1-23-2012, 2012
Cited articles
Barba, J., Cueva, A., Bahn, M., Barron-Gafford, G. A., Bond-Lamberty, B.,
Hanson, P. J., Jaimes, A., Kulmala, L., Pumpanen, J., Scott, R. L.,
Wohlfahrt, G., and Vargas, R.: Comparing ecosystem and soil respiration:
Review and key challenges of tower-based and soil measurements, Agr. Forest Meteorol., 249, 434–443, https://doi.org/10.1016/j.agrformet.2017.10.028,
2018. a
Bayley, G. and Hammersley, J.: The “effective” number of independent
observations in an autocorrelated time series, Supplement, J.
Roy. Stat. Soc., 8, 184–197, 1946. a
Christensen, S., Ambus, P., Arah, J., Clayton, H., Galle, B., Griffith, D.,
Hargreaves, K., Klenzedtsson, L., Lind, A.-M., Maag, M., Scott, A., Skiba,
U., Smith, K., Welling, M., and Wienhold, F.: Nitrous oxide emission from an
agricultural field: Comparison between measurements by flux chamber and
micrometerological techniques, Atmos. Environ., 30, 4183–4190,
https://doi.org/10.1016/1352-2310(96)00145-8, 1996. a
Cobb, B. R., Rumi, R., and Salmerón, A.: Approximating the distribution of
a sum of log-normal random variables, Stat. Comput., 16, 293–308,
2012. a
Cueva, A., Bahn, M., Litvak, M., Pumpanen, J., and Vargas, R.: A multisite
analysis of temporal random errors in soil CO2 efflux, J.
Geophys. Res.-Biogeo., 120, 737–751,
https://doi.org/10.1002/2014jg002690, 2015. a
El-Madany, T. S., Reichstein, M., Perez-Priego, O., Carrara, A., Moreno, G.,
Martín, M. P., Pacheco-Labrador, J., Wohlfahrt, G., Nieto, H., Weber,
U., Kolle, O., Luo, Y.-P., Carvalhais, N., and Migliavacca, M.: Drivers of
spatio-temporal variability of carbon dioxide and energy fluxes in a
Mediterranean savanna ecosystem, Agr. Forest Meteorol., 262,
258–278, https://doi.org/10.1016/j.agrformet.2018.07.010, 2018. a
Fa, K.-Y., Zhang, Y.-Q., Wu, B., Qin, S.-G., Liu, Z., and She, W.-W.: Patterns
and possible mechanisms of soil CO2 uptake in sandy soil, Sci.
Total Environ., 544, 587–594, https://doi.org/10.1016/j.scitotenv.2015.11.163,
2016. a, b
Fenton, L.: The Sum of Log-Normal Probability Distributions in Scatter
Transmission Systems, IEEE Trans. Commun., 8, 57–67,
https://doi.org/10.1109/tcom.1960.1097606, 1960. a
Fóti, S., Balogh, J., Herbst, M., Papp, M., Koncz, P., Bartha, S.,
Zimmermann, Z., Komoly, C., Szabó, G., Margóczi, K., Acosta, M.,
and Nagy, Z.: Meta-analysis of field scale spatial variability of grassland
soil CO2 efflux: Interaction of biotic and abiotic drivers, CATENA, 143,
78–89, https://doi.org/10.1016/j.catena.2016.03.034, 2016. a
Friedlingstein, P., Meinshausen, M., Arora, V. K., Jones, C. D., Anav, A.,
Liddicoat, S. K., and Knutti, R.: Uncertainties in CMIP5 climate
projections due to carbon cycle feedbacks, J. Clim., 27, 511–526,
https://doi.org/10.1175/JCLI-D-12-00579.1, 2014. a
Furman, E., Hackmann, D., and Kuznetsov, A.: On log-normal convolutions: An
analytical–numerical method with applications to economic capital
determination, Insur. Math. Econ., 90, 120–134,
https://doi.org/10.1016/j.insmatheco.2019.10.003, 2020. a
Gelman, A., Carlin, J., and Stern, H. S.: Bayesian data analysis, Chapman and
Hall/CRC, New York, 696 pp., 1995. a
Giasson, M.-A., Ellison, A. M., Bowden, R. D., Crill, P. M., Davidson, E. A.,
Drake, J. E., Frey, S. D., Hadley, J. L., Lavine, M., Melillo, J. M., Munger,
J. W., Nadelhoffer, K. J., Nicoll, L., Ollinger, S. V., Savage, K. E.,
Steudler, P. A., Tang, J., Varner, R. K., Wofsy, S. C., Foster, D. R., and
Finzi, A. C.: Soil respiration in a northeastern US temperate forest: a
22-year synthesis, Ecosphere, 4, 1–28, https://doi.org/10.1890/es13.00183.1, 2013. a, b
Gomez-Casanovas, N., Anderson-Teixeira, K., Zeri, M., Bernacchi, C. J., and
DeLucia, E. H.: Gap filling strategies and error in estimating annual soil
respiration, Glob. Change Biol., 19, 1941–1952, https://doi.org/10.1111/gcb.12127,
2013. a
Held, A. A., Steduto, P., Orgaz, F., Matista, A., and Hsiao, T. C.: Bowen
ratio/energy balance technique for estimating crop net CO2 assimilation,
and comparison with a canopy chamber, Theor. Appl. Climatol.,
42, 203–213, https://doi.org/10.1007/bf00865980, 1990. a
Janssens, I. A., Kowalski, A. S., and Ceulemans, R.: Forest floor CO2 fluxes
estimated by eddy covariance and chamber-based model, Agr. Forest
Meteorol., 106, 61–69, https://doi.org/10.1016/s0168-1923(00)00177-5, 2001. a
Kutzbach, L., Schneider, J., Sachs, T., Giebels, M., Nykänen, H., Shurpali,
N. J., Martikainen, P. J., Alm, J., and Wilmking, M.: CO2 flux
determination by closed-chamber methods can be seriously biased by
inappropriate application of linear regression, Biogeosciences, 4,
1005–1025, https://doi.org/10.5194/bg-4-1005-2007, 2007. a
Lasslop, G., Reichstein, M., Kattge, J., and Papale, D.: Influences of
observation errors in eddy flux data on inverse model inverse modeling,
Biogeosciences, 5, 1311–1324, https://doi.org/10.5194/bg-5-1311-2008, 2008. a
Laville, P., Jambert, C., Cellier, P., and Delmas, R.: Nitrous oxide fluxes
from a fertilised maize crop using micrometeorological and chamber methods,
Agr. Forest Meteorol., 96, 19–38,
https://doi.org/10.1016/s0168-1923(99)00054-4, 1999. a
Leon, E., Vargas, R., Bullock, S., Lopez, E., Panosso, A. R., and Scala, N. L.:
Hot spots, hot moments, and spatio-temporal controls on soil CO2 efflux in
a water-limited ecosystem, Soil Biol. Biochem., 77, 12–21,
https://doi.org/10.1016/j.soilbio.2014.05.029, 2014. a, b, c
Limpert, E., Stahel, W. A., and Abbt, M.: Log-normal Distributions across the
Sciences: Keys and Clues, BioScience, 51, 341–352,
https://doi.org/10.1641/0006-3568(2001)051[0341:lndats]2.0.co;2, 2001. a, b
Lindeberg, J. W.: Eine neue Herleitung des Exponentialgesetzes in der
Wahrscheinlichkeitsrechnung, Math. Z., 15, 211–225,
https://doi.org/10.1007/bf01494395, 1922. a
Livingston, G. P., Hutchinson, G. L., and Spartalian, K.: Trace Gas Emission in
Chambers, Soil Sci. Soc. Am. J., 70, 1459,
https://doi.org/10.2136/sssaj2005.0322, 2006. a
Lloyd, J. and Taylor, J.: On the temperature dependence of soil respiration,
Funct. Ecol., 8, 315–323, 1994. a
Lo, C. F.: WKB approximation for the sum of two correlated lognormal random
variables, Appl. Math. Sci., 7, 6355–6367,
https://doi.org/10.12988/ams.2013.39511, 2013. a, b
Maier, M., Schack-Kirchner, H., Hildebrand, E., and Schindler, D.: Soil CO2
efflux vs. soil respiration: Implications for flux models, Agr.
Forest Meteorol., 151, 1723–1730, https://doi.org/10.1016/j.agrformet.2011.07.006,
2011. a
Messica, A. and Messica, A.: A simple low-computation-intensity model for
approximating the distribution function of a sum of non-identical lognormals
for financial applications, AIP Conf. Proc., 1773, 030003,
https://doi.org/10.1063/1.4964963, 2016. a
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and
Teller, E.: Equation of state calculations by fast computing machines,
J. Chem. Phys., 21, 1087–1092, 1953. a
Pennington, S. C., McDowell, N. G., Megonigal, J. P., Stegen, J. C., and
Bond-Lamberty, B.: Localized basal area affects soil respiration temperature
sensitivity in a coastal deciduous forest, Biogeosciences, 17, 771–780,
https://doi.org/10.5194/bg-17-771-2020, 2020. a
Pérez-Priego, O., López-Ballesteros, A.,
Sánchez-Cañete, E. P., Serrano-Ortiz, P., Kutzbach, L., Domingo,
F., Eugster, W., and Kowalski, A. S.: Analysing uncertainties in the
calculation of fluxes using whole-plant chambers: random and systematic
errors, Plant Soil, 393, 229–244, https://doi.org/10.1007/s11104-015-2481-x, 2015. a, b
Phillips, C. L., Bond-Lamberty, B., Desai, A. R., Lavoie, M., Risk, D., Tang,
J., Todd-Brown, K., and Vargas, R.: The value of soil respiration
measurements for interpreting and modeling terrestrial carbon cycling, Plant
Soil, 413, 1–25, https://doi.org/10.1007/s11104-016-3084-x, 2016. a, b
Pinheiro, J. C. and Bates, D. M.: Mixed-Effect Models in S and S-Plus,
Statistics and Computing, Springer-Verlag, New York, 528 pp., 2000. a
Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier,
P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grünwald, T.,
Havrankova, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T., Lohila,
A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival, J.-M.,
Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J., Seufert, G.,
Vaccari, F., Vesala, T., Yakir, D., and Valentini, R.: On the separation of
net ecosystem exchange into assimilation and ecosystem respiration: review
and improved algorithm, Glob. Change Biol., 11, 1424–1439,
https://doi.org/10.1111/j.1365-2486.2005.001002.x, 2005. a, b
Reth, S., Reichstein, M., and Falge, E.: The effect of soil water content,
soil temperature, soil pH-value and the root mass on soil CO2 efflux – A
modified model, Plant Soil, 268, 21–33, 2005. a
Rey, A., Pegoraro, E., Oyonarte, C., Were, A., Escribano, P., and Raimundo, J.:
Impact of land degradation on soil respiration in a steppe (Stipa tenacissima
L.) semi-arid ecosystem in the SE of Spain, Soil Biol. Biochem.,
43, 393–403, https://doi.org/10.1016/j.soilbio.2010.11.007, 2011. a
Richardson, A. D., Braswell, B. H., Hollinger, D. Y., Burman, P., Davidson,
E. A., Evans, R. S., Flanagan, L. B., Munger, J. W., Savage, K., Urbanski,
S. P., and Wofsy, S. C.: Comparing simple respiration models for eddy flux
and dynamic chamber data, Agr. Forest Meteorol., 141, 219–234,
https://doi.org/10.1016/j.agrformet.2006.10.010, 2006. a, b, c
Rodeghiero, M. and Cescatti, A.: Spatial variability and optimal sampling
strategy of soil respiration, Forest Ecol. Manag., 255, 106–112,
https://doi.org/10.1016/j.foreco.2007.08.025, 2008. a, b
Roland, M., Serrano-Ortiz, P., Kowalski, A. S., Goddéris, Y.,
Sánchez-Cañete, E. P., Ciais, P., Domingo, F., Cuezva, S.,
Sanchez-Moral, S., Longdoz, B., Yakir, D., Grieken, R. V., Schott, J.,
Cardell, C., and Janssens, I. A.: Atmospheric turbulence triggers pronounced
diel pattern in karst carbonate geochemistry, Biogeosciences, 10, 5009–5017,
https://doi.org/10.5194/bg-10-5009-2013, 2013. a, b
Rue, H., Martino, S., and Chopin, N.: Approximate Bayesian inference for latent
Gaussian models by using integrated nested Laplace approximations, J. Roy. Stat. Soc. Ser. B, 71,
319–392, https://doi.org/10.1111/j.1467-9868.2008.00700.x, 2009. a, b, c
Savage, K., Davidson, E. A., and Richardson, A. D.: A conceptual and practical
approach to data quality and analysis procedures for high-frequency soil
respiration measurements, Funct. Ecol., 22, 1000–1007,
https://doi.org/10.1111/j.1365-2435.2008.01414.x, 2008. a, b, c, d
Schoups, G. and Vrugt, J. A.: A formal likelihood function for parameter and
predictive inference of hydrologic models with correlated, heteroscedastic,
and non-Gaussian errors, Water Resour. Res., 46, 1–17,
https://doi.org/10.1029/2009WR008933, 2010. a, b
Spiegelhalter, D., Best, N., Carlin, B., and van der Linde, A.: Bayesian
measures of model complexity and fit, J. Roy. Stat.
Soc. Ser. B, 64, 583–639, 2002. a
Toda, M., Doi, K., Ishihara, M. I., Azuma, W. A., and Yokozawa, M.: A Bayesian
inversion framework to evaluate parameter and predictive inference of a
simple soil respiration model in a cool-temperate forest in western Japan,
Ecol. Model., 418, 108918, https://doi.org/10.1016/j.ecolmodel.2019.108918,
2020. a
Vargas, R., Carbone, M., Reichstein, M., and Baldocchi, D.: Frontiers and
challenges in soil respiration research: from measurements to model-data
integration, Biogeochemistry, 102, 1–13, https://doi.org/10.1007/s10533-010-9462-1,
2010. a
Vargas, R., P., E. S.-C., Serrano-Ortiz, P., Yuste, J. C., Domingo, F.,
López-Ballesteros, A., and Oyonarte, C.: Hot-Moments of Soil CO2
Efflux in a Water-Limited Grassland, Soil Syst., 2, 1–18,
https://doi.org/10.3390/soilsystems2030047, 2018. a, b, c
Venables, W. N. and Ripley, B.: Modern applied statistics with S, 4th
Edn., Springer, 510 pp., 2002. a
Vrugt, J. A. and Sadegh, M.: Toward diagnostic model calibration and
evaluation: Approximate Bayesian computation, Water Resour. Res., 49, 4335–4345, https://doi.org/10.1002/wrcr.20354, 2013. a
White, K. J.: The Durbin-Watson Test for Autocorrelation in Nonlinear Models,
Rev. Econ. Stat., 74, 370–73, https://doi.org/10.2307/2109675,
1992. a
Wutzler, T.: bgctw/lognorm: GID publication, Zenodo, https://doi.org/10.5281/zenodo.3735804, 2020.
a
Wutzler, T. and Carvalhais, N.: Balancing multiple constraints in model-data
integration: Weights and the parameter-block approach, J. Geophys. Res.-Biogeo., 119, 2112–2129, https://doi.org/10.1002/2014jg002650, 2014. a
Wutzler, T. and Rademacher, T. T.: bgctw/RespChamberProc: GID publication, Zenodo, https://doi.org/10.5281/zenodo.3735807, 2020. a
Wutzler, T., Lucas-Moffat, A., Migliavacca, M., Knauer, J., Sickel, K.,
Šigut, L., Menzer, O., and Reichstein, M.: Basic and extensible
post-processing of eddy covariance flux data with REddyProc,
Biogeosciences, 15, 5015–5030, https://doi.org/10.5194/bg-15-5015-2018, 2018. a
Wutzler, T., Perez-Priego, O., Morris, K., El-Madany, T., Migliavacca, M., Schrumpf, M., Pöhlmann, M., Weber, E., and Carrara, A.: Data for “Soil CO2 efflux errors are lognormally distributed – Implications and guidance”, Zenodo, https://doi.org/10.5281/zenodo.3735751, 2020. a
Zhao, J., Lange, H., and Meissner, H.: Gap-filling continuously-measured soil
respiration data: A highlight of time-series-based methods, Agr.
Forest Meteorol., 285-286, 107912, https://doi.org/10.1016/j.agrformet.2020.107912,
2020. a
Zięba, A. and Ramza, P.: Standard Deviation of the Mean of Autocorrelated
Observations Estimated with the Use of the Autocorrelation Function Estimated
From the Data, Metrol. Meas. Syst., 18, 599–611,
https://doi.org/10.2478/v10178-011-0052-x, 2011. a, b, c
Zobitz, J., Desai, A., Moore, D., and Chadwick, M.: A primer for data
assimilation with ecological models using Markov Chain Monte Carlo (MCMC),
Oecologia, 167, 599–611, https://doi.org/10.1007/s00442-011-2107-9, 2011. a, b
Zuur, A. F., Ieno, E. N., Walker, N. J., Saveliev, A. A., and Smith, G. M.:
Mixed effects models and extensions in ecology with R, Springer Verlag, 596 pp., 2009. a
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Short summary
Continuous data of soil CO2 efflux can improve model prediction of climate warming, and automated data are becoming increasingly available. However, aggregating chamber-based data to plot scale pose challenges. Therefore, we showed, using 1 year of half-hourly data, how using the lognormal assumption tackles several challenges. We propose that plot-scale SO2 efflux observations should be reported together with lognormally based uncertainties and enter model constraining frameworks at log scale.
Continuous data of soil CO2 efflux can improve model prediction of climate warming, and...
