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Short summary
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.
Causal inference promises new insight into biosphere–atmosphere interactions using time series...
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BG | Articles | Volume 17, issue 4
Biogeosciences, 17, 1033–1061, 2020
https://doi.org/10.5194/bg-17-1033-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Biogeosciences, 17, 1033–1061, 2020
https://doi.org/10.5194/bg-17-1033-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 26 Feb 2020
Research article | 26 Feb 2020
Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach
Christopher Krich et al.
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Ecosystems and the atmosphere interact with each other. These interactions determine e.g. the water and carbon fluxes and thus are crucial to understand climate change effects. We analysed the interactions for many ecosystems across the globe showing that very different ecosystems can have similar interactions with the atmosphere. Meteorological conditions seem to be the strongest interaction-shaping factor. This means that common principles can be identified to describe ecosystem behaviour.
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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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Jian Peng, Simon Dadson, Feyera Hirpa, Ellen Dyer, Thomas Lees, Diego G. Miralles, Sergio M. Vicente-Serrano, and Chris Funk
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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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Miguel D. Mahecha, Fabian Gans, Gunnar Brandt, Rune Christiansen, Sarah E. Cornell, Normann Fomferra, Guido Kraemer, Jonas Peters, Paul Bodesheim, Gustau Camps-Valls, Jonathan F. Donges, Wouter Dorigo, Lina M. Estupinan-Suarez, Victor H. Gutierrez-Velez, Martin Gutwin, Martin Jung, Maria C. Londoño, Diego G. Miralles, Phillip Papastefanou, and Markus Reichstein
Earth Syst. Dynam., 11, 201–234, https://doi.org/10.5194/esd-11-201-2020, https://doi.org/10.5194/esd-11-201-2020, 2020
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The ever-growing availability of data streams on different subsystems of the Earth brings unprecedented scientific opportunities. However, researching a data-rich world brings novel challenges. We present the concept of
Earth system data cubesto study the complex dynamics of multiple climate and ecosystem variables across space and time. Using a series of example studies, we highlight the potential of effectively considering the full multivariate nature of processes in the Earth system.
Nora Linscheid, Lina M. Estupinan-Suarez, Alexander Brenning, Nuno Carvalhais, Felix Cremer, Fabian Gans, Anja Rammig, Markus Reichstein, Carlos A. Sierra, and Miguel D. Mahecha
Biogeosciences, 17, 945–962, https://doi.org/10.5194/bg-17-945-2020, https://doi.org/10.5194/bg-17-945-2020, 2020
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Vegetation typically responds to variation in temperature and rainfall within days. Yet seasonal changes in meteorological conditions, as well as decadal climate variability, additionally shape the state of ecosystems. It remains unclear how vegetation responds to climate variability on these different timescales. We find that the vegetation response to climate variability depends on the timescale considered. This scale dependency should be considered for modeling land–atmosphere 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.
Jeroen Claessen, Annalisa Molini, Brecht Martens, Matteo Detto, Matthias Demuzere, and Diego G. Miralles
Biogeosciences, 16, 4851–4874, https://doi.org/10.5194/bg-16-4851-2019, https://doi.org/10.5194/bg-16-4851-2019, 2019
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Bidirectional interactions between vegetation and climate are unraveled over short (monthly) and long (inter-annual) temporal scales. Analyses use a novel causal inference method based on wavelet theory. The performance of climate models at representing these interactions is benchmarked against satellite data. Climate models can reproduce the overall climate controls on vegetation at all temporal scales, while their performance at representing biophysical feedbacks on climate is less adequate.
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.
Hendrik Wouters, Irina Y. Petrova, Chiel C. van Heerwaarden, Jordi Vilà-Guerau de Arellano, Adriaan J. Teuling, Vicky Meulenberg, Joseph A. Santanello, and Diego G. Miralles
Geosci. Model Dev., 12, 2139–2153, https://doi.org/10.5194/gmd-12-2139-2019, https://doi.org/10.5194/gmd-12-2139-2019, 2019
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The free software CLASS4GL (http://class4gl.eu) is designed to investigate the dynamic atmospheric boundary layer (ABL) with weather balloons. It mines observational data from global radio soundings, satellite and reanalysis data from the last 40 years to constrain and initialize an ABL model and automizes multiple experiments in parallel. CLASS4GL aims at fostering a better understanding of land–atmosphere feedbacks and the drivers of extreme weather.
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.
Wouter H. Maes, Pierre Gentine, Niko E. C. Verhoest, and Diego G. Miralles
Hydrol. Earth Syst. Sci., 23, 925–948, https://doi.org/10.5194/hess-23-925-2019, https://doi.org/10.5194/hess-23-925-2019, 2019
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Potential evaporation (Ep) is the amount of water an ecosystem would consume if it were not limited by water availability or other stress factors. In this study, we compared several methods to estimate Ep using a global dataset of 107 FLUXNET sites. A simple radiation-driven method calibrated per biome consistently outperformed more complex approaches and makes a suitable tool to investigate the impact of water use and demand, drought severity and biome productivity.
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.
Milan Flach, Sebastian Sippel, Fabian Gans, Ana Bastos, Alexander Brenning, Markus Reichstein, and Miguel D. Mahecha
Biogeosciences, 15, 6067–6085, https://doi.org/10.5194/bg-15-6067-2018, https://doi.org/10.5194/bg-15-6067-2018, 2018
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Northern forests enhanced their productivity during and before the 2010 Russian mega heatwave. We scrutinize this issue with a novel type of multivariate extreme event detection approach. Forests compensate for 54 % of the carbon losses in agricultural ecosystems due to vulnerable conditions in spring and better water management in summer. The findings highlight the importance of forests in mitigating climate change, while not alleviating the consequences of extreme events for food security.
Christina Papagiannopoulou, Diego G. Miralles, Matthias Demuzere, Niko E. C. Verhoest, and Willem Waegeman
Geosci. Model Dev., 11, 4139–4153, https://doi.org/10.5194/gmd-11-4139-2018, https://doi.org/10.5194/gmd-11-4139-2018, 2018
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Common global land cover and climate classifications are based on vegetation–climatic characteristics derived from observational data, ignoring the interaction between the local climate and biome. Here, we model the interplay between vegetation and local climate by discovering spatial relationships among different locations. The resulting global
hydro-climatic biomescorrespond to regions of coherent climate–vegetation interactions that agree well with traditional global land cover maps.
Carlos Jiménez, Brecht Martens, Diego M. Miralles, Joshua B. Fisher, Hylke E. Beck, and Diego Fernández-Prieto
Hydrol. Earth Syst. Sci., 22, 4513–4533, https://doi.org/10.5194/hess-22-4513-2018, https://doi.org/10.5194/hess-22-4513-2018, 2018
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Observing the amount of water evaporated in nature is not easy, and we need to combine accurate local measurements with estimates from satellites, more uncertain but covering larger areas. This is the main topic of our paper, in which local observations are compared with global land evaporation estimates, followed by a weighting of the global observations based on this comparison to attempt derive a more accurate evaporation product.
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.
Paul Bodesheim, Martin Jung, Fabian Gans, Miguel D. Mahecha, and Markus Reichstein
Earth Syst. Sci. Data, 10, 1327–1365, https://doi.org/10.5194/essd-10-1327-2018, https://doi.org/10.5194/essd-10-1327-2018, 2018
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We provide continuous half-hourly carbon and energy fluxes for 2001 to 2014 at 0.5° spatial resolution, which allows for analyzing diurnal cycles globally. The data set contains four fluxes: gross primary production (GPP), net ecosystem exchange (NEE), latent heat (LE), and sensible heat (H). In addition, we provide a derived product that only contains monthly average diurnal cycles but which also enables us to study the important characteristics of subdaily patterns at a global scale.
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.
Wouter H. Maes, Pierre Gentine, Niko E. C. Verhoest, and Diego G. Miralles
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-682, https://doi.org/10.5194/hess-2017-682, 2018
Revised manuscript not accepted
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Potential evaporation is a key parameter in numerous models used for assessing water use and drought severity. Yet, multiple incompatible methods have been proposed, thus estimates of potential evaporation remain uncertain. Based on the largest available dataset of FLUXNET data, we identify the best method to calculate potential evaporation globally. A simple radiation-driven method calibrated per biome consistently performed best; more complex models did not perform as good.
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.
Seyed Hamed Alemohammad, Bin Fang, Alexandra G. Konings, Filipe Aires, Julia K. Green, Jana Kolassa, Diego Miralles, Catherine Prigent, and Pierre Gentine
Biogeosciences, 14, 4101–4124, https://doi.org/10.5194/bg-14-4101-2017, https://doi.org/10.5194/bg-14-4101-2017, 2017
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Water, Energy, and Carbon with Artificial Neural Networks (WECANN) is a statistically based estimate of global surface latent and sensible heat fluxes and gross primary productivity. The retrieval uses six remotely sensed observations as input, including the solar-induced fluorescence. WECANN provides estimates on a 1° × 1° geographic grid and on a monthly time scale and outperforms other global products in capturing the seasonality of the fluxes when compared to eddy covariance tower data.
Jakob Zscheischler, Miguel D. Mahecha, Valerio Avitabile, Leonardo Calle, Nuno Carvalhais, Philippe Ciais, Fabian Gans, Nicolas Gruber, Jens Hartmann, Martin Herold, Kazuhito Ichii, Martin Jung, Peter Landschützer, Goulven G. Laruelle, Ronny Lauerwald, Dario Papale, Philippe Peylin, Benjamin Poulter, Deepak Ray, Pierre Regnier, Christian Rödenbeck, Rosa M. Roman-Cuesta, Christopher Schwalm, Gianluca Tramontana, Alexandra Tyukavina, Riccardo Valentini, Guido van der Werf, Tristram O. West, Julie E. Wolf, and Markus Reichstein
Biogeosciences, 14, 3685–3703, https://doi.org/10.5194/bg-14-3685-2017, https://doi.org/10.5194/bg-14-3685-2017, 2017
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Here we synthesize a wide range of global spatiotemporal observational data on carbon exchanges between the Earth surface and the atmosphere. A key challenge was to consistently combining observational products of terrestrial and aquatic surfaces. Our primary goal is to identify today’s key uncertainties and observational shortcomings that would need to be addressed in future measurement campaigns or expansions of in situ observatories.
Milan Flach, Fabian Gans, Alexander Brenning, Joachim Denzler, Markus Reichstein, Erik Rodner, Sebastian Bathiany, Paul Bodesheim, Yanira Guanche, Sebastian Sippel, and Miguel D. Mahecha
Earth Syst. Dynam., 8, 677–696, https://doi.org/10.5194/esd-8-677-2017, https://doi.org/10.5194/esd-8-677-2017, 2017
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Anomalies and extremes are often detected using univariate peak-over-threshold approaches in the geoscience community. The Earth system is highly multivariate. We compare eight multivariate anomaly detection algorithms and combinations of data preprocessing. We identify three anomaly detection algorithms that outperform univariate extreme event detection approaches. The workflows have the potential to reveal novelties in data. Remarks on their application to real Earth observations are provided.
Matthew F. McCabe, Matthew Rodell, Douglas E. Alsdorf, Diego G. Miralles, Remko Uijlenhoet, Wolfgang Wagner, Arko Lucieer, Rasmus Houborg, Niko E. C. Verhoest, Trenton E. Franz, Jiancheng Shi, Huilin Gao, and Eric F. Wood
Hydrol. Earth Syst. Sci., 21, 3879–3914, https://doi.org/10.5194/hess-21-3879-2017, https://doi.org/10.5194/hess-21-3879-2017, 2017
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We examine the opportunities and challenges that technological advances in Earth observation will present to the hydrological community. From advanced space-based sensors to unmanned aerial vehicles and ground-based distributed networks, these emergent systems are set to revolutionize our understanding and interpretation of hydrological and related processes.
Sebastian Sippel, Jakob Zscheischler, Miguel D. Mahecha, Rene Orth, Markus Reichstein, Martha Vogel, and Sonia I. Seneviratne
Earth Syst. Dynam., 8, 387–403, https://doi.org/10.5194/esd-8-387-2017, https://doi.org/10.5194/esd-8-387-2017, 2017
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The present study (1) evaluates land–atmosphere coupling in the CMIP5 multi-model ensemble against an ensemble of benchmarking datasets and (2) refines the model ensemble using a land–atmosphere coupling diagnostic as constraint. Our study demonstrates that a considerable fraction of coupled climate models overemphasize warm-season
moisture-limitedclimate regimes in midlatitude regions. This leads to biases in daily-scale temperature extremes, which are alleviated in a constrained ensemble.
Brecht Martens, Diego G. Miralles, Hans Lievens, Robin van der Schalie, Richard A. M. de Jeu, Diego Fernández-Prieto, Hylke E. Beck, Wouter A. Dorigo, and Niko E. C. Verhoest
Geosci. Model Dev., 10, 1903–1925, https://doi.org/10.5194/gmd-10-1903-2017, https://doi.org/10.5194/gmd-10-1903-2017, 2017
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Terrestrial evaporation is a key component of the hydrological cycle and reliable data sets of this variable are of major importance. The Global Land Evaporation Amsterdam Model (GLEAM, www.GLEAM.eu) is a set of algorithms which estimates evaporation based on satellite observations. The third version of GLEAM, presented in this study, includes an improved parameterization of different model components. As a result, the accuracy of the GLEAM data sets has been improved upon previous versions.
Christina Papagiannopoulou, Diego G. Miralles, Stijn Decubber, Matthias Demuzere, Niko E. C. Verhoest, Wouter A. Dorigo, and Willem Waegeman
Geosci. Model Dev., 10, 1945–1960, https://doi.org/10.5194/gmd-10-1945-2017, https://doi.org/10.5194/gmd-10-1945-2017, 2017
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Global satellite observations provide a means to unravel the influence of climate on vegetation. Common statistical methods used to study the relationships between climate and vegetation are often too simplistic to capture the complexity of these relationships. Here, we present a novel causality framework that includes data fusion from various databases, time series decomposition, and machine learning techniques. Results highlight the highly non-linear nature of climate–vegetation interactions.
Sebastian Sippel, Jakob Zscheischler, Martin Heimann, Holger Lange, Miguel D. Mahecha, Geert Jan van Oldenborgh, Friederike E. L. Otto, and Markus Reichstein
Hydrol. Earth Syst. Sci., 21, 441–458, https://doi.org/10.5194/hess-21-441-2017, https://doi.org/10.5194/hess-21-441-2017, 2017
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The paper re-investigates the question whether observed precipitation extremes and annual totals have been increasing in the world's dry regions over the last 60 years. Despite recently postulated increasing trends, we demonstrate that large uncertainties prevail due to (1) the choice of dryness definition and (2) statistical data processing. In fact, we find only minor (and only some significant) increases if (1) dryness is based on aridity and (2) statistical artefacts are accounted for.
D. Michel, C. Jiménez, D. G. Miralles, M. Jung, M. Hirschi, A. Ershadi, B. Martens, M. F. McCabe, J. B. Fisher, Q. Mu, S. I. Seneviratne, E. F. Wood, and D. Fernández-Prieto
Hydrol. Earth Syst. Sci., 20, 803–822, https://doi.org/10.5194/hess-20-803-2016, https://doi.org/10.5194/hess-20-803-2016, 2016
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In this study a common reference input data set from satellite and in situ data is used to run four established evapotranspiration (ET) algorithms using sub-daily and daily input on a tower scale as a testbed for a global ET product. The PT-JPL model and GLEAM provide the best performance for satellite and in situ forcing as well as for the different temporal resolutions. PM-MOD and SEBS perform less well: the PM-MOD model generally underestimates, while SEBS generally overestimates ET.
S. Sippel, F. E. L. Otto, M. Forkel, M. R. Allen, B. P. Guillod, M. Heimann, M. Reichstein, S. I. Seneviratne, K. Thonicke, and M. D. Mahecha
Earth Syst. Dynam., 7, 71–88, https://doi.org/10.5194/esd-7-71-2016, https://doi.org/10.5194/esd-7-71-2016, 2016
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We introduce a novel technique to bias correct climate model output for impact simulations that preserves its physical consistency and multivariate structure. The methodology considerably improves the representation of extremes in climatic variables relative to conventional bias correction strategies. Illustrative simulations of biosphere–atmosphere carbon and water fluxes with a biosphere model (LPJmL) show that the novel technique can be usefully applied to drive climate impact models.
M. F. McCabe, A. Ershadi, C. Jimenez, D. G. Miralles, D. Michel, and E. F. Wood
Geosci. Model Dev., 9, 283–305, https://doi.org/10.5194/gmd-9-283-2016, https://doi.org/10.5194/gmd-9-283-2016, 2016
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In an effort to develop a global terrestrial evaporation product, four models were forced using both a tower and grid-based data set. Comparisons against flux-tower observations from different biome and land cover types show considerable inter-model variability and sensitivity to forcing type. Results suggest that no single model is able to capture expected flux patterns and response. It is suggested that a multi-model ensemble is likely to provide a more stable long-term flux estimate.
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.
A. I. Stegehuis, R. Vautard, P. Ciais, A. J. Teuling, D. G. Miralles, and M. Wild
Geosci. Model Dev., 8, 2285–2298, https://doi.org/10.5194/gmd-8-2285-2015, https://doi.org/10.5194/gmd-8-2285-2015, 2015
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Many climate models have difficulties in properly reproducing climate extremes such as heat wave conditions. We use a regional climate model with different atmospheric physics schemes to simulate the heat wave events of 2003 in western Europe and 2010 in Russia. The five best-performing and diverse physics scheme combinations may be used in the future to perform heat wave analysis and to investigate the impact of climate change in summer in Europe.
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. G. De Kauwe, J. Kala, Y.-S. Lin, A. J. Pitman, B. E. Medlyn, R. A. Duursma, G. Abramowitz, Y.-P. Wang, and D. G. Miralles
Geosci. Model Dev., 8, 431–452, https://doi.org/10.5194/gmd-8-431-2015, https://doi.org/10.5194/gmd-8-431-2015, 2015
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Stomatal conductance affects the fluxes of carbon, energy and water between the vegetated land surface and the atmosphere. We test an implementation of an optimal stomatal conductance model within the CABLE land surface model (LSM). The new implementation resulted in a large reduction in the annual fluxes of transpiration across evergreen needleleaf, tundra and C4 grass regions. We conclude that optimisation theory can yield a tractable approach to predicting stomatal conductance in LSMs.
A. Rammig, M. Wiedermann, J. F. Donges, F. Babst, W. von Bloh, D. Frank, K. Thonicke, and M. D. Mahecha
Biogeosciences, 12, 373–385, https://doi.org/10.5194/bg-12-373-2015, https://doi.org/10.5194/bg-12-373-2015, 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. P. Guillod, B. Orlowsky, D. Miralles, A. J. Teuling, P. D. Blanken, N. Buchmann, P. Ciais, M. Ek, K. L. Findell, P. Gentine, B. R. Lintner, R. L. Scott, B. Van den Hurk, and S. I. Seneviratne
Atmos. Chem. Phys., 14, 8343–8367, https://doi.org/10.5194/acp-14-8343-2014, https://doi.org/10.5194/acp-14-8343-2014, 2014
X. Wu, F. Babst, P. Ciais, D. Frank, M. Reichstein, M. Wattenbach, C. Zang, and M. D. Mahecha
Biogeosciences, 11, 3057–3068, https://doi.org/10.5194/bg-11-3057-2014, https://doi.org/10.5194/bg-11-3057-2014, 2014
J. Zscheischler, M. Reichstein, S. Harmeling, A. Rammig, E. Tomelleri, and M. D. Mahecha
Biogeosciences, 11, 2909–2924, https://doi.org/10.5194/bg-11-2909-2014, https://doi.org/10.5194/bg-11-2909-2014, 2014
C. F. Schleussner, J. Runge, J. Lehmann, and A. Levermann
Earth Syst. Dynam., 5, 103–115, https://doi.org/10.5194/esd-5-103-2014, https://doi.org/10.5194/esd-5-103-2014, 2014
J. v. Buttlar, J. Zscheischler, and M. D. Mahecha
Nonlin. Processes Geophys., 21, 203–215, https://doi.org/10.5194/npg-21-203-2014, https://doi.org/10.5194/npg-21-203-2014, 2014
B. Mueller, M. Hirschi, C. Jimenez, P. Ciais, P. A. Dirmeyer, A. J. Dolman, J. B. Fisher, M. Jung, F. Ludwig, F. Maignan, D. G. Miralles, M. F. McCabe, M. Reichstein, J. Sheffield, K. Wang, E. F. Wood, Y. Zhang, and S. I. Seneviratne
Hydrol. Earth Syst. Sci., 17, 3707–3720, https://doi.org/10.5194/hess-17-3707-2013, https://doi.org/10.5194/hess-17-3707-2013, 2013
Related subject area
Biogeochemistry: Air - Land Exchange
A climate-dependent global model of ammonia emissions from chicken farming
Calculating canopy stomatal conductance from eddy covariance measurements, in light of the energy budget closure problem
Decoupling of a Douglas fir canopy: a look into the subcanopy with continuous vertical temperature profiles
Variations in diurnal and seasonal net ecosystem carbon dioxide exchange in a semiarid sandy grassland ecosystem in China's Horqin Sandy Land
Biogenic volatile organic compound ambient mixing ratios and emission rates in the Alaskan Arctic tundra
Surfaces of silver birch (Betula pendula) are sources of biological ice nuclei: in vivo and in situ investigations
Ideas and perspectives: enhancing the impact of the FLUXNET network of eddy covariance sites
Evapotranspiration over agroforestry sites in Germany
OH reactivity from the emissions of different tree species: investigating the missing reactivity in a boreal forest
Technical Note: Inexpensive modification of Exetainers for the reliable storage of trace-level hydrogen and carbon monoxide gas samples
Winter atmospheric nutrients and pollutants deposition on West Sayan mountain lakes (Siberia)
Vegetation influence and environmental controls on greenhouse gas fluxes from a drained thermokarst lake in the western Canadian Arctic
Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data
CloudRoots: integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land–atmosphere interactions
Environmental controls on ecosystem-scale cold-season methane and carbon dioxide fluxes in an Arctic tundra ecosystem
Distinguishing between early- and late-covering crops in the land surface model Noah-MP: impact on simulated surface energy fluxes and temperature
A robust data cleaning procedure for eddy covariance flux measurements
Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach
Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking
Methane efflux from an American bison herd
A double peak in the seasonality of California's photosynthesis as observed from space
Nitrogen use efficiency and N2O and NH3 losses attributed to three fertiliser types applied to an intensively managed silage crop
Biogenic isoprenoid emissions under drought stress: different responses for isoprene and terpenes
Insights from mercury stable isotopes on terrestrial–atmosphere exchange of Hg(0) in the Arctic tundra
Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities
El Niño–Southern Oscillation (ENSO) event reduces CO2 uptake of an Indonesian oil palm plantation
Carbon–water flux coupling under progressive drought
Reviews and syntheses: influences of landscape structure and land uses on local to regional climate and air quality
Identification of secondary fatty alcohols in atmospheric aerosols in temperate forests
Modelling land–atmosphere daily exchanges of NO, NH3, and CO2 in a semi-arid grazed ecosystem in Senegal
Simulating the atmospheric CO2 concentration across the heterogeneous landscape of Denmark using a coupled atmosphere–biosphere mesoscale model system
Evaluating multi-year, multi-site data on the energy balance closure of eddy-covariance flux measurements at cropland sites in southwestern Germany
Interpreting eddy covariance data from heterogeneous Siberian tundra: land-cover-specific methane fluxes and spatial representativeness
Global atmospheric CO2 inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate
Assessing biotic contributions to CO2 fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009
Assessing the dynamics of vegetation productivity in circumpolar regions with different satellite indicators of greenness and photosynthesis
Reviews and syntheses: Carbon use efficiency from organisms to ecosystems – definitions, theories, and empirical evidence
Eddy covariance flux errors due to random and systematic timing errors during data acquisition
Synthetic ozone deposition and stomatal uptake at flux tower sites
Integrated management of a Swiss cropland is not sufficient to preserve its soil carbon pool in the long term
Basic and extensible post-processing of eddy covariance flux data with REddyProc
Carbon exchange in an Amazon forest: from hours to years
Seasonal variations of Quercus pubescens isoprene emissions from an in natura forest under drought stress and sensitivity to future climate change in the Mediterranean area
An assessment of natural methane fluxes simulated by the CLASS-CTEM model
Ammonia emission measurements of an intensively grazed pasture
Resource and physiological constraints on global crop production enhancements from atmospheric particulate matter and nitrogen deposition
Technical note: In situ measurement of flux and isotopic composition of CO2 released during oxidative weathering of sedimentary rocks
Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia
Recent past (1979–2014) and future (2070–2099) isoprene fluxes over Europe simulated with the MEGAN–MOHYCAN model
Upside-down fluxes Down Under: CO2 net sink in winter and net source in summer in a temperate evergreen broadleaf forest
Jize Jiang, David S. Stevenson, Aimable Uwizeye, Giuseppe Tempio, and Mark A. Sutton
Biogeosciences, 18, 135–158, https://doi.org/10.5194/bg-18-135-2021, https://doi.org/10.5194/bg-18-135-2021, 2021
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Ammonia is a key water and air pollutant and impacts human health and climate change. Ammonia emissions mainly originate from agriculture. We find that chicken agriculture contributes to large ammonia emissions, especially in hot and wet regions. These emissions can be greatly affected by the local environment, i.e. temperature and humidity, and also by human management. We develop a model that suggests ammonia emissions from chicken farming are likely to increase under a warming climate.
Richard Wehr and Scott R. Saleska
Biogeosciences, 18, 13–24, https://doi.org/10.5194/bg-18-13-2021, https://doi.org/10.5194/bg-18-13-2021, 2021
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Water and carbon exchange between plants and the atmosphere is governed by stomata: adjustable pores in the surfaces of leaves. The combined gas conductance of all the stomata in a canopy has long been estimated using an equation that is shown here to be systematically incorrect because it relies on measurements that are generally inadequate. An alternative approach is shown to be more accurate in all probable scenarios and to imply different responses of stomatal conductance to the environment.
Bart Schilperoort, Miriam Coenders-Gerrits, César Jiménez Rodríguez, Christiaan van der Tol, Bas van de Wiel, and Hubert Savenije
Biogeosciences, 17, 6423–6439, https://doi.org/10.5194/bg-17-6423-2020, https://doi.org/10.5194/bg-17-6423-2020, 2020
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With distributed temperature sensing (DTS) we measured a vertical temperature profile in a forest, from the forest floor to above the treetops. Using this temperature profile we can see which parts of the forest canopy are colder (thus more dense) or warmer (and less dense) and study the effect this has on the suppression of turbulent mixing. This can be used to improve our knowledge of the interaction between the atmosphere and forests and improve carbon dioxide flux measurements over forests.
Yayi Niu, Yuqiang Li, Hanbo Yun, Xuyang Wang, Xiangwen Gong, Yulong Duan, and Jing Liu
Biogeosciences, 17, 6309–6326, https://doi.org/10.5194/bg-17-6309-2020, https://doi.org/10.5194/bg-17-6309-2020, 2020
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We report the results from continuous year-round CO2 observations from a sandy grassland in the Horqin Sandy Land using the eddy covariance technique. To quantify the diurnal, seasonal, and annual variation in net ecosystem CO2 exchange, gross primary productivity, and ecosystem respiration and to identify the different scales of environmental factors and the underlying mechanisms, we also explored how the annual precipitation affects the net ecosystem CO2 exchange and its components.
Hélène Angot, Katelyn McErlean, Lu Hu, Dylan B. Millet, Jacques Hueber, Kaixin Cui, Jacob Moss, Catherine Wielgasz, Tyler Milligan, Damien Ketcherside, M. Syndonia Bret-Harte, and Detlev Helmig
Biogeosciences, 17, 6219–6236, https://doi.org/10.5194/bg-17-6219-2020, https://doi.org/10.5194/bg-17-6219-2020, 2020
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We report biogenic volatile organic compounds (BVOCs) ambient levels and emission rates from key vegetation species in the Alaskan arctic tundra, providing a new data set to further constrain isoprene chemistry under low NOx conditions in models. We add to the growing body of evidence that climate-induced changes in the vegetation composition will significantly affect the BVOC emission potential of the tundra, with implications for atmospheric oxidation processes and climate feedbacks.
Teresa M. Seifried, Paul Bieber, Laura Felgitsch, Julian Vlasich, Florian Reyzek, David G. Schmale III, and Hinrich Grothe
Biogeosciences, 17, 5655–5667, https://doi.org/10.5194/bg-17-5655-2020, https://doi.org/10.5194/bg-17-5655-2020, 2020
Dario Papale
Biogeosciences, 17, 5587–5598, https://doi.org/10.5194/bg-17-5587-2020, https://doi.org/10.5194/bg-17-5587-2020, 2020
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FLUXNET is a large, bottom-up, self-coordinated network of sites. It provided ecosystem–atmosphere greenhouse gas fluxes from stations around the world that were used as bases for a large number of publications and studies. Today many applications require recent updates on the data to track more closely the ecosystem responses to climate change and link ground data with satellite programs. For this reason, a new organization of FLUXNET is needed, keeping as its target the FAIR principles.
Christian Markwitz, Alexander Knohl, and Lukas Siebicke
Biogeosciences, 17, 5183–5208, https://doi.org/10.5194/bg-17-5183-2020, https://doi.org/10.5194/bg-17-5183-2020, 2020
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Agroforestry has been shown to alter the microclimate and to lead to higher carbon sequestration above ground and in the soil. In this study, we investigated the impact of agroforestry systems on system-scale evapotranspiration (ET) due to concerns about increased water losses to the atmosphere. Results showed small differences in annual sums of ET over agroforestry relative to monoculture systems, indicating that agroforestry in Germany can be a land use alternative to monoculture agriculture.
Arnaud P. Praplan, Toni Tykkä, Simon Schallhart, Virpi Tarvainen, Jaana Bäck, and Heidi Hellén
Biogeosciences, 17, 4681–4705, https://doi.org/10.5194/bg-17-4681-2020, https://doi.org/10.5194/bg-17-4681-2020, 2020
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In this paper, we study emissions of volatile organic compounds (VOCs) from three boreal tree species. Individual compounds are quantified with on-line separation analytical techniques, while the total reactivity of the emissions is measured using a custom-built instrument. On some occasions, in particular when the trees suffer from stress, the total reactivity measured is higher than the sum of the reactivity of individual compounds. This indicates that the threes emit VOCs that remain unknown.
Philipp A. Nauer, Eleonora Chiri, Thanavit Jirapanjawat, Chris Greening, and Perran L. M. Cook
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-282, https://doi.org/10.5194/bg-2020-282, 2020
Revised manuscript accepted for BG
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Hydrogen (H2) and carbon monoxide (CO) are atmospheric trace gases cycled via microbial metabolisms. We observed strong H2 and CO contamination from rubber septa used to seal common gas-sample storage vials. Here we propose a simple and inexpensive modification of such vials to allow reliable storage of H2, CO and methane trace-gas samples for timescales of weeks to months, thus enabling extensive field campaigns to investigate H2 and CO biogeochemistry in remote areas.
Daniel Diaz-de-Quijano, Aleksander Vladimirovich Ageev, Elena Anatolevna Ivanova, and Olesia Valerevna Anishchenko
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-125, https://doi.org/10.5194/bg-2020-125, 2020
Preprint under review for BG
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Winter atmospheric nitrogen and phosphorus depositions were measured for the first time in the West Sayan mountains (Siberia). The low and very low atmospheric N and P depositions could be responsible for the observed lake phytoplankton N-P colimitation. We hypothesize that slight imbalances in the nutrient deposition, as expected in the context of global change (climate, forest fire regime, and anthropogenic nitrogen emissions), could have important effects on the ecology of these lakes.
June Skeeter, Andreas Christen, Andrée-Anne Laforce, Elyn Humphreys, and Greg Henry
Biogeosciences, 17, 4421–4441, https://doi.org/10.5194/bg-17-4421-2020, https://doi.org/10.5194/bg-17-4421-2020, 2020
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This study investigates carbon fluxes at Illisarvik, an artificial drained thermokarst lake basin (DTLB) in Canada's Northwest Territories. This is the first carbon balance study in a DTLB outside of Alaska. We used neural networks to identify the factors controlling fluxes and to model the effects of the controlling factors. We discuss the role of vegetation heterogeneity in fluxes, especially of methane, and we show how the carbon fluxes differ from Alaskan DTLBs.
Anne J. Hoek van Dijke, Kaniska Mallick, Martin Schlerf, Miriam Machwitz, Martin Herold, and Adriaan J. Teuling
Biogeosciences, 17, 4443–4457, https://doi.org/10.5194/bg-17-4443-2020, https://doi.org/10.5194/bg-17-4443-2020, 2020
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We investigated the link between the vegetation leaf area index (LAI) and the land–atmosphere exchange of water, energy, and carbon fluxes. We show that the correlation between the LAI and water and energy fluxes depends on the vegetation type and aridity. For carbon fluxes, however, the correlation with the LAI was strong and independent of vegetation and aridity. This study provides insight into when the vegetation LAI can be used to model or extrapolate land–atmosphere fluxes.
Jordi Vilà-Guerau de Arellano, Patrizia Ney, Oscar Hartogensis, Hugo de Boer, Kevin van Diepen, Dzhaner Emin, Geiske de Groot, Anne Klosterhalfen, Matthias Langensiepen, Maria Matveeva, Gabriela Miranda-García, Arnold F. Moene, Uwe Rascher, Thomas Röckmann, Getachew Adnew, Nicolas Brüggemann, Youri Rothfuss, and Alexander Graf
Biogeosciences, 17, 4375–4404, https://doi.org/10.5194/bg-17-4375-2020, https://doi.org/10.5194/bg-17-4375-2020, 2020
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The CloudRoots field experiment has obtained an open comprehensive observational data set that includes soil, plant, and atmospheric variables to investigate the interactions between a heterogeneous land surface and its overlying atmospheric boundary layer, including the rapid perturbations of clouds in evapotranspiration. Our findings demonstrate that in order to understand and represent diurnal variability, we need to measure and model processes from the leaf to the landscape scales.
Dean Howard, Yannick Agnan, Detlev Helmig, Yu Yang, and Daniel Obrist
Biogeosciences, 17, 4025–4042, https://doi.org/10.5194/bg-17-4025-2020, https://doi.org/10.5194/bg-17-4025-2020, 2020
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The Arctic tundra represents a vast store of carbon that may be broken down by microbial activity into greenhouse gases such as CO2 and CH4. Though microbes are less active in winter, the long duration of the cold season makes this period very important for carbon cycling. We show that, under conditions of warmer winter air temperatures and greater snowfall, deeper soils can remain warm enough to sustain significantly enhanced CH4 emission. This could have large implications for future climates.
Kristina Bohm, Joachim Ingwersen, Josipa Milovac, and Thilo Streck
Biogeosciences, 17, 2791–2805, https://doi.org/10.5194/bg-17-2791-2020, https://doi.org/10.5194/bg-17-2791-2020, 2020
Domenico Vitale, Gerardo Fratini, Massimo Bilancia, Giacomo Nicolini, Simone Sabbatini, and Dario Papale
Biogeosciences, 17, 1367–1391, https://doi.org/10.5194/bg-17-1367-2020, https://doi.org/10.5194/bg-17-1367-2020, 2020
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This work describes a data cleaning procedure for the detection of eddy covariance fluxes affected by systematic errors. We believe that the proposed procedure can serve as a basis toward a unified quality control strategy suitable for the centralized data processing pipelines, where the use of completely data-driven and scalable procedures that guarantee high-quality standards and reproducibility of the released products constitutes an essential prerequisite.
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.
Samantha J. Basile, Xin Lin, William R. Wieder, Melannie D. Hartman, and Gretchen Keppel-Aleks
Biogeosciences, 17, 1293–1308, https://doi.org/10.5194/bg-17-1293-2020, https://doi.org/10.5194/bg-17-1293-2020, 2020
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Soil heterotrophic respiration (HR) is an important component of land–atmosphere carbon exchange but is difficult to observe globally. We analyzed the imprint that this flux leaves on atmospheric CO2 using a set of simulations from HR models with common inputs. Models that represent microbial processes are more variable and have stronger temperature sensitivity than those that do not. Our results show that we can use atmospheric CO2 observations to evaluate and improve models of HR.
Paul C. Stoy, Adam A. Cook, John E. Dore, William Kleindl, E. N. Jack Brookshire, and Tobias Gerken
Biogeosciences Discuss., https://doi.org/10.5194/bg-2020-38, https://doi.org/10.5194/bg-2020-38, 2020
Revised manuscript accepted for BG
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The reintroduction of American bison creates multiple environmental benefits. Ruminants like bison also emit methane – a potent greenhouse gas – to the atmosphere, which has not been measured to date in a field setting. We measured methane efflux from an American bison herd during winter using eddy covariance. Automated cameras were used to approximate their location to calculate per-animal flux. From the measurements, bison do not emit more methane than the cattle they often replace.
Alexander J. Turner, Philipp Köhler, Troy S. Magney, Christian Frankenberg, Inez Fung, and Ronald C. Cohen
Biogeosciences, 17, 405–422, https://doi.org/10.5194/bg-17-405-2020, https://doi.org/10.5194/bg-17-405-2020, 2020
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We present the highest resolution solar-induced chlorophyll fluorescence (SIF) dataset from satellite measurements, providing previously unobservable phenomena related to plant photosynthesis. We find a strong correspondence between TROPOMI SIF and AmeriFlux GPP. We then observe a double peak in the seasonality of California's photosynthesis, not seen by traditional vegetation indices (e.g., MODIS). This is further corroborated by EOF/PC analysis.
Nicholas Cowan, Peter Levy, Andrea Moring, Ivan Simmons, Colin Bache, Amy Stephens, Joana Marinheiro, Jocelyn Brichet, Ling Song, Amy Pickard, Connie McNeill, Roseanne McDonald, Juliette Maire, Benjamin Loubet, Polina Voylokov, Mark Sutton, and Ute Skiba
Biogeosciences, 16, 4731–4745, https://doi.org/10.5194/bg-16-4731-2019, https://doi.org/10.5194/bg-16-4731-2019, 2019
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Commonly used nitrogen fertilisers, ammonium nitrate, urea and urea coated with a urease inhibitor, were applied to experimental plots. Fertilisation with ammonium nitrate supported the largest yields but also resulted in the largest nitrous oxide emissions. Urea was the largest emitter of ammonia. The coated urea did not significantly increase yields; however, ammonia emissions were substantially smaller than urea. The coated urea was the best environmentally but is economically unattractive.
Boris Bonn, Ruth-Kristina Magh, Joseph Rombach, and Jürgen Kreuzwieser
Biogeosciences, 16, 4627–4645, https://doi.org/10.5194/bg-16-4627-2019, https://doi.org/10.5194/bg-16-4627-2019, 2019
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The effect of soil water availability (SWA) on emissions of isoprenoids by trees was studied by setting up a parameterization from published data. SWA impact on isoprene emissions can be described by a growth type curve, while monoterpene emissions display a pattern reflecting plants’ stomata opening. Sesquiterpene fluxes tend to increase at the start of severe drought until resources decline. Feedbacks on atmospheric processes such as ozone and aerosol particles are further studied.
Martin Jiskra, Jeroen E. Sonke, Yannick Agnan, Detlev Helmig, and Daniel Obrist
Biogeosciences, 16, 4051–4064, https://doi.org/10.5194/bg-16-4051-2019, https://doi.org/10.5194/bg-16-4051-2019, 2019
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The tundra plays a pivotal role in Arctic mercury cycling by storing atmospheric mercury deposition and shuttling it to the Arctic Ocean. We used the isotopic fingerprint of mercury to investigate the processes controlling atmospheric mercury deposition. We found that the uptake of atmospheric mercury by vegetation was the major deposition source. Direct deposition to snow or soils only played a minor role. These results improve our understanding of Arctic mercury cycling.
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.
Christian Stiegler, Ana Meijide, Yuanchao Fan, Ashehad Ashween Ali, Tania June, and Alexander Knohl
Biogeosciences, 16, 2873–2890, https://doi.org/10.5194/bg-16-2873-2019, https://doi.org/10.5194/bg-16-2873-2019, 2019
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We show the response of a commercial oil palm plantation in Indonesia to the extreme El Niño–Southern Oscillation (ENSO) event in 2015. Our measurements and model suggest that without human-induced forest fires and related smoke emissions, the observed negative impact on oil palm carbon dioxide greenhouse gas fluxes, carbon accumulation and yield due to ENSO-related drought would have been less pronounced. With respect to climate change we highlight the importance of fire prevention in the area.
Sven Boese, Martin Jung, Nuno Carvalhais, Adriaan J. Teuling, and Markus Reichstein
Biogeosciences, 16, 2557–2572, https://doi.org/10.5194/bg-16-2557-2019, https://doi.org/10.5194/bg-16-2557-2019, 2019
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This study examines how limited water availability during droughts affects water-use efficiency. This metric describes how much carbon an ecosystem can assimilate for each unit of water lost by transpiration. We test how well different water-use efficiency models can capture the dynamics of transpiration decrease due to increased soil-water limitation. Accounting for the interacting effects of radiation and water limitation is necessary to accurately predict transpiration during these periods.
Raia Silvia Massad, Juliette Lathière, Susanna Strada, Mathieu Perrin, Erwan Personne, Marc Stéfanon, Patrick Stella, Sophie Szopa, and Nathalie de Noblet-Ducoudré
Biogeosciences, 16, 2369–2408, https://doi.org/10.5194/bg-16-2369-2019, https://doi.org/10.5194/bg-16-2369-2019, 2019
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Human activities strongly interfere in the land–atmosphere interactions through changes in land use and land cover changes and land management. The objectives of this review are to synthesize the existing experimental and modelling works that investigate physical, chemical, and biogeochemical interactions between land surface and the atmosphere. Greater consideration of atmospheric chemistry, through land–atmosphere interactions, as a decision parameter for land management is essential.
Yuzo Miyazaki, Divyavani Gowda, Eri Tachibana, Yoshiyuki Takahashi, and Tsutom Hiura
Biogeosciences, 16, 2181–2188, https://doi.org/10.5194/bg-16-2181-2019, https://doi.org/10.5194/bg-16-2181-2019, 2019
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Fatty alcohols (FAs) are major components of surface lipids and can act as surface-active atmospheric organic aerosols, influencing the cloud formation. We identified five secondary FAs in atmospheric aerosols at two temperate forest sites and revealed their distinct seasonal variation for the first time. Our results suggest that they originated mostly from plant wax and could be used as useful tracers for primary biological aerosol particles.
Claire Delon, Corinne Galy-Lacaux, Dominique Serça, Erwan Personne, Eric Mougin, Marcellin Adon, Valérie Le Dantec, Benjamin Loubet, Rasmus Fensholt, and Torbern Tagesson
Biogeosciences, 16, 2049–2077, https://doi.org/10.5194/bg-16-2049-2019, https://doi.org/10.5194/bg-16-2049-2019, 2019
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In the Sahel region during the wet season, CO2 and NO are released to the atmosphere, and NH3 is deposited on the soil. During the dry season, processes are strongly reduced. This paper shows the temporal variation in these soil–atmosphere exchanges of trace gases for 2 years, their sharp increase when the first rains fall onto dry soils, and how microbial processes are involved. We use a modelling approach, which is necessary when continuous measurements are not possible in remote regions.
Anne Sofie Lansø, Thomas Luke Smallman, Jesper Heile Christensen, Mathew Williams, Kim Pilegaard, Lise-Lotte Sørensen, and Camilla Geels
Biogeosciences, 16, 1505–1524, https://doi.org/10.5194/bg-16-1505-2019, https://doi.org/10.5194/bg-16-1505-2019, 2019
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Although coastal regions only amount to 7 % of the global oceans, their contribution to the global oceanic surface exchange of CO2 is much greater. In this study, we gain detailed insight into how these coastal marine fluxes compare to CO2 exchange from coastal land regions. Annually, the coastal marine exchanges are smaller than the total uptake of CO2 from the land surfaces within the study area but comparable in size to terrestrial fluxes from individual land cover classes of the region.
Ravshan Eshonkulov, Arne Poyda, Joachim Ingwersen, Hans-Dieter Wizemann, Tobias K. D. Weber, Pascal Kremer, Petra Högy, Alim Pulatov, and Thilo Streck
Biogeosciences, 16, 521–540, https://doi.org/10.5194/bg-16-521-2019, https://doi.org/10.5194/bg-16-521-2019, 2019
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We compared the energy balance closure (EBC) under varying environmental conditions and investigated a wide range of possible reasons for the energy imbalance. As measures for the imbalance, we used ordinary linear regression, the energy balance ratio (EBR), and the energy residual. The EBR was also investigated as a function of buoyancy, friction velocity, and atmospheric stability. Moreover, the relationship between the EBC and flux source area or footprint was also investigated.
Juha-Pekka Tuovinen, Mika Aurela, Juha Hatakka, Aleksi Räsänen, Tarmo Virtanen, Juha Mikola, Viktor Ivakhov, Vladimir Kondratyev, and Tuomas Laurila
Biogeosciences, 16, 255–274, https://doi.org/10.5194/bg-16-255-2019, https://doi.org/10.5194/bg-16-255-2019, 2019
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We analysed ecosystem-scale measurements of methane exchange between Arctic tundra and the atmosphere, taking into account the large variations in vegetation and soil properties. The measurements are spatial averages, but using meteorological and statistical modelling techniques we could estimate methane emissions for different land cover types and quantify how well the measurements correspond to the spatial variability. This provides a more accurate estimate of the regional methane emission.
Benjamin Gaubert, Britton B. Stephens, Sourish Basu, Frédéric Chevallier, Feng Deng, Eric A. Kort, Prabir K. Patra, Wouter Peters, Christian Rödenbeck, Tazu Saeki, David Schimel, Ingrid Van der Laan-Luijkx, Steven Wofsy, and Yi Yin
Biogeosciences, 16, 117–134, https://doi.org/10.5194/bg-16-117-2019, https://doi.org/10.5194/bg-16-117-2019, 2019
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We have compared global carbon budgets calculated from numerical inverse models and CO2 observations, and evaluated how these systems reproduce vertical gradients in atmospheric CO2 from aircraft measurements. We found that available models have converged on near-neutral tropical total fluxes for several decades, implying consistent sinks in intact tropical forests, and that assumed fossil fuel emissions and predicted atmospheric growth rates are now the dominant axes of disagreement.
Archana Dayalu, J. William Munger, Steven C. Wofsy, Yuxuan Wang, Thomas Nehrkorn, Yu Zhao, Michael B. McElroy, Chris P. Nielsen, and Kristina Luus
Biogeosciences, 15, 6713–6729, https://doi.org/10.5194/bg-15-6713-2018, https://doi.org/10.5194/bg-15-6713-2018, 2018
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Accounting for the vegetation signal is critical for comprehensive CO2 budget assessment in China. We model and evaluate hourly vegetation carbon dioxide (CO2) exchange (mass per unit area per unit time) in northern China from 2005 to 2009. The model is driven by satellite and meteorological data, is linked to ground-level ecosystem observations, and is applicable to other time periods. We find vegetation uptake of CO2 in summer is comparable to emissions from fossil fuels in northern China.
Sophia Walther, Luis Guanter, Birgit Heim, Martin Jung, Gregory Duveiller, Aleksandra Wolanin, and Torsten Sachs
Biogeosciences, 15, 6221–6256, https://doi.org/10.5194/bg-15-6221-2018, https://doi.org/10.5194/bg-15-6221-2018, 2018
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We explored the timing of the peak of the short annual growing season in tundra ecosystems as indicated by an extensive suite of satellite indicators of vegetation productivity. Delayed peak greenness compared to peak photosynthesis is consistently found across years and land-cover classes. Plants also experience growth after optimal conditions for assimilation regarding light and temperature have passed. Our results have implications for the modelling of the circumpolar carbon balance.
Stefano Manzoni, Petr Čapek, Philipp Porada, Martin Thurner, Mattias Winterdahl, Christian Beer, Volker Brüchert, Jan Frouz, Anke M. Herrmann, Björn D. Lindahl, Steve W. Lyon, Hana Šantrůčková, Giulia Vico, and Danielle Way
Biogeosciences, 15, 5929–5949, https://doi.org/10.5194/bg-15-5929-2018, https://doi.org/10.5194/bg-15-5929-2018, 2018
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Carbon fixed by plants and phytoplankton through photosynthesis is ultimately stored in soils and sediments or released to the atmosphere during decomposition of dead biomass. Carbon-use efficiency is a useful metric to quantify the fate of carbon – higher efficiency means higher storage and lower release to the atmosphere. Here we summarize many definitions of carbon-use efficiency and study how this metric changes from organisms to ecosystems and from terrestrial to aquatic environments.
Gerardo Fratini, Simone Sabbatini, Kevin Ediger, Brad Riensche, George Burba, Giacomo Nicolini, Domenico Vitale, and Dario Papale
Biogeosciences, 15, 5473–5487, https://doi.org/10.5194/bg-15-5473-2018, https://doi.org/10.5194/bg-15-5473-2018, 2018
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Using a simulation study and field data, we quantify the biases that can be introduced in fluxes measured by eddy covariance (EC) if the raw high-frequency data are affected by random and systematic timing misalignments. Our study was motivated by the increasingly widespread adoption of fully digital EC systems potentially subject to such timing errors. We found biases as large as 10 %. We further propose a test to evaluate EC data logging systems for their time synchronization capabilities.
Jason A. Ducker, Christopher D. Holmes, Trevor F. Keenan, Silvano Fares, Allen H. Goldstein, Ivan Mammarella, J. William Munger, and Jordan Schnell
Biogeosciences, 15, 5395–5413, https://doi.org/10.5194/bg-15-5395-2018, https://doi.org/10.5194/bg-15-5395-2018, 2018
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We have developed an accurate method (SynFlux) to estimate ozone deposition and stomatal uptake across 103 flux tower sites (43 US, 60 Europe), where ozone concentrations and fluxes have not been measured. In all, the SynFlux public dataset provides monthly values of ozone dry deposition for 926 site years across a wide array of ecosystems. The SynFlux dataset will promote further applications to ecosystem, air quality, or climate modeling across the geoscience community.
Carmen Emmel, Annina Winkler, Lukas Hörtnagl, Andrew Revill, Christof Ammann, Petra D'Odorico, Nina Buchmann, and Werner Eugster
Biogeosciences, 15, 5377–5393, https://doi.org/10.5194/bg-15-5377-2018, https://doi.org/10.5194/bg-15-5377-2018, 2018
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It is of great interest to know whether croplands act as a net source or sink of atmospheric CO2 and if soil carbon (C) stocks are preserved over long timescales due to the role of C in soil fertility. For a cropland in Switzerland it was found that managing the field under the Swiss framework of the Proof of Ecological Performance (PEP) resulted in soil C losses of 18.0 %. Additional efforts are needed to bring Swiss management practices closer to the goal of preserving soil C in the long term.
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.
Matthew N. Hayek, Marcos Longo, Jin Wu, Marielle N. Smith, Natalia Restrepo-Coupe, Raphael Tapajós, Rodrigo da Silva, David R. Fitzjarrald, Plinio B. Camargo, Lucy R. Hutyra, Luciana F. Alves, Bruce Daube, J. William Munger, Kenia T. Wiedemann, Scott R. Saleska, and Steven C. Wofsy
Biogeosciences, 15, 4833–4848, https://doi.org/10.5194/bg-15-4833-2018, https://doi.org/10.5194/bg-15-4833-2018, 2018
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We investigated the roles that weather and forest disturbances like drought play in shaping changes in ecosystem photosynthesis and carbon exchange in an Amazon forest. We discovered that weather largely influenced differences between years, but a prior drought, which occurred 3 years before measurements started, likely hampered photosynthesis in the first year. This is the first atmospheric evidence that drought can have legacy impacts on Amazon forest photosynthesis.
Anne-Cyrielle Genard-Zielinski, Christophe Boissard, Elena Ormeño, Juliette Lathière, Ilja M. Reiter, Henri Wortham, Jean-Philippe Orts, Brice Temime-Roussel, Bertrand Guenet, Svenja Bartsch, Thierry Gauquelin, and Catherine Fernandez
Biogeosciences, 15, 4711–4730, https://doi.org/10.5194/bg-15-4711-2018, https://doi.org/10.5194/bg-15-4711-2018, 2018
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From seasonal in situ observations on how a Mediterranean ecosystem responds to drought, a specific isoprene emission (ER, emission rates) algorithm was developed, upon which 2100 projections (IPCC RCP2.6 and RCP8.5 scenarios) were made. Emission rates were found to be mainly sensitive to future temperature changes and poorly represented by current empirical emission models. Drought was found to aggravate thermal stress on emission rates.
Vivek K. Arora, Joe R. Melton, and David Plummer
Biogeosciences, 15, 4683–4709, https://doi.org/10.5194/bg-15-4683-2018, https://doi.org/10.5194/bg-15-4683-2018, 2018
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Earth system models (ESMs) project future changes in climate in response to changes in anthropogenic emissions of greenhouse gases (GHGs). However, before this can be achieved the natural fluxes of a given GHG must also be modelled. This paper evaluates the natural methane fluxes simulated by the CLASS-CTEM model (which is the land component of the Canadian ESM) against observations to show that the simulated methane emissions from wetlands and fires, and soil uptake of methane are realistic.
Karl Voglmeier, Markus Jocher, Christoph Häni, and Christof Ammann
Biogeosciences, 15, 4593–4608, https://doi.org/10.5194/bg-15-4593-2018, https://doi.org/10.5194/bg-15-4593-2018, 2018
Luke D. Schiferl, Colette L. Heald, and David Kelly
Biogeosciences, 15, 4301–4315, https://doi.org/10.5194/bg-15-4301-2018, https://doi.org/10.5194/bg-15-4301-2018, 2018
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To understand future food security, it is critical to develop realistic crop models with reliable sensitivity to environmental factors. We find that particulate matter (PM) causes a significant, but smaller, enhancement for global wheat and rice production than estimated without nutrient and physiological limitations imposed by a crop model. In contrast, maize grows near its physiological maximum, with little enhancement from PM. Nitrogen deposition leads to a small increase in crop production.
Guillaume Soulet, Robert G. Hilton, Mark H. Garnett, Mathieu Dellinger, Thomas Croissant, Mateja Ogrič, and Sébastien Klotz
Biogeosciences, 15, 4087–4102, https://doi.org/10.5194/bg-15-4087-2018, https://doi.org/10.5194/bg-15-4087-2018, 2018
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Oxidative weathering of sedimentary rocks can release carbon dioxide to the atmosphere. Here, we designed a chamber-based method to measure these CO2 emissions directly for the first time. The chamber is drilled in the rock and allows us to collect the CO2 to fingerprint its source using carbon isotopes. We tested our method in Draix (France). The measured CO2 fluxes were substantial, with ~20% originating from oxidation of the rock organic matter and ~80% from dissolution of carbonate minerals.
Eliane G. Alves, Julio Tóta, Andrew Turnipseed, Alex B. Guenther, José Oscar W. Vega Bustillos, Raoni A. Santana, Glauber G. Cirino, Julia V. Tavares, Aline P. Lopes, Bruce W. Nelson, Rodrigo A. de Souza, Dasa Gu, Trissevgeni Stavrakou, David K. Adams, Jin Wu, Scott Saleska, and Antonio O. Manzi
Biogeosciences, 15, 4019–4032, https://doi.org/10.5194/bg-15-4019-2018, https://doi.org/10.5194/bg-15-4019-2018, 2018
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This study shows that leaf quantity and leaf age have an important effect on seasonal changes in isoprene emissions and that these could play an even more important role in regulating ecosystem isoprene fluxes than light and temperature at seasonal timescales in tropical forests. These results bring novelty and new insight for future research because in the past leaf phenology was not considered as an important factor that controls biological processes in the tropics.
Maite Bauwens, Trissevgeni Stavrakou, Jean-François Müller, Bert Van Schaeybroeck, Lesley De Cruz, Rozemien De Troch, Olivier Giot, Rafiq Hamdi, Piet Termonia, Quentin Laffineur, Crist Amelynck, Niels Schoon, Bernard Heinesch, Thomas Holst, Almut Arneth, Reinhart Ceulemans, Arturo Sanchez-Lorenzo, and Alex Guenther
Biogeosciences, 15, 3673–3690, https://doi.org/10.5194/bg-15-3673-2018, https://doi.org/10.5194/bg-15-3673-2018, 2018
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Biogenic isoprene fluxes are simulated over Europe with the MEGAN–MOHYCAN model for the recent past and end-of-century climate at high spatiotemporal resolution (0.1°, 3 min). Due to climate change, fluxes increased by 40 % over 1979–2014. Climate scenarios for 2070–2099 suggest an increase by 83 % due to climate, and an even stronger increase when the potential impact of CO2 fertilization is considered (up to 141 %). Accounting for CO2 inhibition cancels out a large part of these increases.
Alexandre A. Renchon, Anne Griebel, Daniel Metzen, Christopher A. Williams, Belinda Medlyn, Remko A. Duursma, Craig V. M. Barton, Chelsea Maier, Matthias M. Boer, Peter Isaac, David Tissue, Victor Resco de Dios, and Elise Pendall
Biogeosciences, 15, 3703–3716, https://doi.org/10.5194/bg-15-3703-2018, https://doi.org/10.5194/bg-15-3703-2018, 2018
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We report the seasonality of net ecosystem–atmosphere CO2 exchange (NEE) in a temperate evergreen broadleaved forest in Sydney, Australia. We investigated how carbon exchange varied with climatic drivers and canopy dynamics (leaf area index, litter fall). We found that our site acted as a net source of carbon in summer and a net sink in winter. Ecosystem respiration (ER) drove NEE seasonality, as the seasonal amplitude of ER was greater than gross primary productivity.
Cited articles
Ammann, C., Spirig, C., Leifeld, J., and Neftel, A.: Assessment of the Nitrogen
and Carbon Budget of Two Managed Temperate Grassland Fields, Agr.
Ecosyst. Environ., 133, 150–162, https://doi.org/10.1016/j.agee.2009.05.006,
2009. a
Anthoni, P. M., Knohl, A., Rebmann, C., Freibauer, A., Mund, M., Ziegler, W.,
Kolle, O., and Schulze, E.-D.: Forest and Agricultural Land-Use-Dependent
CO2 Exchange in Thuringia, Germany, Glob. Change Biol., 10,
2005–2019, https://doi.org/10.1111/j.1365-2486.2004.00863.x, 2004. a
Attanasio, A.: Testing for linear Granger causality from natural/anthropogenic
forcings to global temperature anomalies, Theor. Appl.
Climatol., 110, 281–289, https://doi.org/10.1007/s00704-012-0634-x, 2012. a
Attanasio, A., Pasini, A., and Triacca, U.: A contribution to attribution of
recent global warming by out-of-sample Granger causality analysis,
Atmos. Sci. Lett., 13, 67–72, https://doi.org/10.1002/asl.365,
2012. a
Aubinet, M., Chermanne, B., Vandenhaute, M., Longdoz, B., Yernaux, M., and
Laitat, E.: Long Term Carbon Dioxide Exchange above a Mixed Forest in the
Belgian Ardennes, Agr. Forest Meteorol., 108, 293–315,
https://doi.org/10.1016/S0168-1923(01)00244-1, 2001. a
Baldocchi, D.: Measuring fluxes of trace gases and energy between ecosystems
and the atmosphere – the state and future of the eddy covariance method,
Glob. Change Biol., 20, 3600–3609, https://doi.org/10.1111/gcb.12649,
2014. a
Baldocchi, D., Ryu, Y., and Keenan, T.: Terrestrial Carbon Cycle Variability, F1000 Research, 5, 2371,
https://doi.org/10.12688/f1000research.8962.1, 2016. a
Baldocchi, D. D.: Assessing the eddy covariance technique for evaluating carbon
dioxide exchange rates of ecosystems: past, present and future, Glob. Change
Biol., 9, 479–492, https://doi.org/10.1046/j.1365-2486.2003.00629.x,
2003. a
Baldocchi, D. D., Hincks, B. B., and Meyers, T. P.: Measuring
Biosphere-Atmosphere Exchanges of Biologically Related Gases with
Micrometeorological Methods, Ecology, 69, 1331–1340, https://doi.org/10.2307/1941631,
1988. a
Barnett, L., Barrett, A. B., and Seth, A. K.: Granger causality and transfer
entropy Are equivalent for gaussian variables, Phys. Rev. Lett., 103,
238701, https://doi.org/10.1103/PhysRevLett.103.238701, 2009. a
Benjamini, Y. and Hochberg, Y.: Controlling the False Discovery Rate: A
Practical and Powerful Approach to Multiple Testing, J. R.
Stat. Soc. B, 57, 289–300,
https://doi.org/10.1111/j.2517-6161.1995.tb02031.x,
1995. a
Berbigier, P., Bonnefond, J.-M., and Mellmann, P.: CO2 and Water Vapour
Fluxes for 2 Years above Euroflux Forest Site, Agr. Forest
Meteorol., 108, 183–197, https://doi.org/10.1016/S0168-1923(01)00240-4, 2001. a
Beringer, J., Hutley, L. B., Tapper, N. J., and Cernusak, L. A.: Savanna Fires
and Their Impact on Net Ecosystem Productivity in North Australia, Glob. Change Biol., 13, 990–1004,
https://doi.org/10.1111/j.1365-2486.2007.01334.x, 2007. a
Beringer, J., Hutley, L. B., Hacker, J. M., Neininger, B., and U, K. T. P.:
Patterns and Processes of Carbon, Water and Energy Cycles across Northern
Australian Landscapes: From Point to Region, Agr. Forest
Meteorol., 151, 1409–1416, https://doi.org/10.1016/j.agrformet.2011.05.003,
2011a. a
Beringer, J., Hutley, L. B., Hacker, J. M., Neininger, B., and U, K. T. P.:
Patterns and Processes of Carbon, Water and Energy Cycles across Northern
Australian Landscapes: From Point to Region, Agr. Forest
Meteorol., 151, 1409–1416,
https://doi.org/10.1016/j.agrformet.2011.05.003,
2011b. a
Bernhofer, C., Grünwald, T., Moderow, U., Hehn, M., Eichelmann, U., and Prasse,
H.: FLUXNET2015 DE-Obe Oberbärenburg,
https://doi.org/10.18140/FLX/1440151, 2008–2014. a
Bernhofer, C., Grünwald, T., Moderow, U., Hehn, M., Eichelmann, U., and Prasse,
H.: FLUXNET2015 DE-Akm Anklam, https://doi.org/10.18140/FLX/1440213,
2009–2014. a
Bernhofer, C., Grünwald, T., Moderow, U., Hehn, M., Eichelmann, U., Prasse,
H., and Postel, U.: FLUXNET2015 DE-Spw Spreewald, https://doi.org/10.18140/FLX/1440220,
2010–2014. a
Bonal, D., Bosc, A., Ponton, S., Goret, J.-Y., Burban, B., Gross, P.,
Bonnefond, J.-M., Elbers, J., Longdoz, B., Epron, D., Guehl, J.-M., and
Granier, A.: Impact of Severe Dry Season on Net Ecosystem Exchange in the
Neotropical Rainforest of French Guiana, Glob. Change Biol., 14,
1917–1933, https://doi.org/10.1111/j.1365-2486.2008.01610.x, 2008. a
Bond-Lamberty, B., Wang, C., and Gower, S. T.: Net Primary Production and Net
Ecosystem Production of a Boreal Black Spruce Wildfire Chronosequence, Glob. Change Biol., 10, 473–487, https://doi.org/10.1111/j.1529-8817.2003.0742.x, 2004. a
Brooks, J. R., Flanagan, L. B., Varney, G. T., and Ehleringer, J. R.: Vertical
gradients in photosynthetic gas exchange characteristics and refixation of
respired CO2 within boreal forest canopies, Tree Physiol., 17, 1–12,
https://doi.org/10.1093/treephys/17.1.1, 1997. a
Buermann, W., Forkel, M., O'Sullivan, M., Sitch, S., Friedlingstein, P.,
Haverd, V., Jain, A. K., Kato, E., Kautz, M., Lienert, S., Lombardozzi, D.,
Nabel, J. E. M. S., Tian, H., Wiltshire, A. J., Zhu, D., Smith, W., and
Richardson, A. D.: Widespread seasonal compensation effects of spring warming
on northern plant productivity, Nature, 562, 110–114, https://doi.org/10.1038/s41586-018-0555-7,
2018. a
Cassman, K. G., Dobermann, A., Walters, D. T., and Yang, H.: Meeting Cereal
Demand While Protecting Natural Resources and Improving Environmental
Quality, Annu. Rev. Env. Resour., 28, 315–358,
https://doi.org/10.1146/annurev.energy.28.040202.122858, 2003a. a
Cassman, K. G., Dobermann, A., Walters, D. T., and Yang, H.: Meeting Cereal
Demand While Protecting Natural Resources and Improving Environmental
Quality, Annu. Rev. Env. Resour., 28, 315–358,
https://doi.org/10.1146/annurev.energy.28.040202.122858, 2003b. a
Cernusak, L. A., Hutley, L. B., Beringer, J., Holtum, J. A. M., and Turner,
B. L.: Photosynthetic Physiology of Eucalypts along a Sub-Continental
Rainfall Gradient in Northern Australia, Agr. Forest
Meteorol., 151, 1462–1470, https://doi.org/10.1016/j.agrformet.2011.01.006,
2011. a
Chen, J. M., Govind, A., Sonnentag, O., Zhang, Y., Barr, A., and Amiro, B.:
Leaf Area Index Measurements at Fluxnet-Canada Forest Sites,
Agr. Forest Meteorol., 140, 257–268,
https://doi.org/10.1016/j.agrformet.2006.08.005, 2006. a
Chiesi, M., Maselli, F., Bindi, M., Fibbi, L., Cherubini, P., Arlotta, E.,
Tirone, G., Matteucci, G., and Seufert, G.: Modelling Carbon Budget of
Mediterranean Forests Using Ground and Remote Sensing Measurements,
Agr. Forest Meteorol., 135, 22–34,
https://doi.org/10.1016/j.agrformet.2005.09.011, 2005. a
Claessen, J., Molini, A., Martens, B., Detto, M., Demuzere, M., and Miralles, D. G.: Global biosphere–climate interaction: a causal appraisal of observations and models over multiple temporal scales, Biogeosciences, 16, 4851–4874, https://doi.org/10.5194/bg-16-4851-2019, 2019. a
Delpierre, N., Berveiller, D., Granda, E., and Dufrêne, E.: Wood Phenology,
Not Carbon Input, Controls the Interannual Variability of Wood Growth in a
Temperate Oak Forest, New Phytol., 210, 459–470,
https://doi.org/10.1111/nph.13771, 2016. a
Detto, M., Molini, A., Katul, G., Stoy, P., Palmroth, S., and Baldocchi, D.:
Causality and Persistence in Ecological Systems: A Nonparametric Spectral
Granger Causality Approach, Am. Nat., 179, 524–535,
https://doi.org/10.1086/664628, 2012. a, b, c
Dietiker, D., Buchmann, N., and Eugster, W.: Testing the Ability of the
DNDC Model to Predict CO2 and Water Vapour Fluxes of a Swiss
Cropland Site, Agr. Ecosyst. Environ., 139, 396–401,
https://doi.org/10.1016/j.agee.2010.09.002, 2010. a
Dušek, J., Čížková, H., Stellner, S., Czerný, R., and
Květ, J.: Fluctuating Water Table Affects Gross Ecosystem Production and
Gross Radiation Use Efficiency in a Sedge-Grass Marsh, Hydrobiologia, 692,
57–66, https://doi.org/10.1007/s10750-012-0998-z, 2012. a
Ebert-Uphoff, I. and Deng, Y.: Causal Discovery for Climate Research Using
Graphical Models, J. Climate, 25, 5648–5665,
https://doi.org/10.1175/JCLI-D-11-00387.1, 2012. 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, b, c
Elsner, J. B.: Evidence in support of the climate change–Atlantic hurricane
hypothesis, Geophys. Res. Lett., 33, L16705, https://doi.org/10.1029/2006GL026869,
2006. a
Elsner, J. B.: Granger causality and Atlantic hurricanes, Tellus A, 59, 476–485,
https://doi.org/10.1111/j.1600-0870.2007.00244.x, 2007. a
Emmerich, W. E.: Carbon Dioxide Fluxes in a Semiarid Environment with High
Carbonate Soils, Agr. Forest Meteorol., 116, 91–102,
https://doi.org/10.1016/S0168-1923(02)00231-9, 2003. a
Etzold, S., Ruehr, N. K., Zweifel, R., Dobbertin, M., Zingg, A., Pluess, P.,
Häsler, R., Eugster, W., and Buchmann, N.: The Carbon Balance of Two
Contrasting Mountain Forest Ecosystems in Switzerland: Similar Annual
Trends, but Seasonal Differences, Ecosystems, 14, 1289–1309,
https://doi.org/10.1007/s10021-011-9481-3, 2011. a
Fischer, M. L., Billesbach, D. P., Berry, J. A., Riley, W. J., and Torn, M. S.:
Spatiotemporal Variations in Growing Season Exchanges of CO2,
H2O, and Sensible Heat in Agricultural Fields of the Southern
Great Plains, Earth Interact., 11, 1–21, https://doi.org/10.1175/EI231.1, 2007. a
Galvagno, M., Wohlfahrt, G., Cremonese, E., Rossini, M., Colombo, R., Filippa,
G., Julitta, T., Manca, G., Siniscalco, C., di Cella, U. M., and Migliavacca,
M.: Phenology and Carbon Dioxide Source/Sink Strength of a Subalpine
Grassland in Response to an Exceptionally Short Snow Season, Environ.
Res. Lett., 8, 025008, https://doi.org/10.1088/1748-9326/8/2/025008, 2013. a
Gerken, T., Ruddell, B. L., Fuentes, J. D., Araújo, A., Brunsell, N. A., Maia,
J., Manzi, A., Mercer, J., dos Santos, R. N., von Randow, C., and Stoy,
P. C.: Investigating the mechanisms responsible for the lack of surface
energy balance closure in a central Amazonian tropical rainforest,
Agr. Forest Meteorol., 255, 92–103,
https://doi.org/10.1016/j.agrformet.2017.03.023, 2018. a
Gitelson, A. A., Viña, A., Arkebauer, T. J., Rundquist, D. C., Keydan, G.,
and Leavitt, B.: Remote Estimation of Leaf Area Index and Green Leaf Biomass
in Maize Canopies, Geophys. Res. Lett., 30, 1248,
https://doi.org/10.1029/2002GL016450, 2003. a
Goodwell, A. E. and Kumar, P.: Temporal Information Partitioning Networks
(TIPNets): A process network approach to infer ecohydrologic shifts, Water
Resour. Res., 53, 5899–5919, https://doi.org/10.1002/2016WR020218,
2017a. a
Goodwell, A. E. and Kumar, P.: Temporal information partitioning:
Characterizing synergy, uniqueness, and redundancy in interacting
environmental variables, Water Resour. Res., 53, 5920–5942,
https://doi.org/10.1002/2016WR020216,
2017b. a
Goodwell, A. E., Kumar, P., Fellows, A. W., and Flerchinger, G. N.: Dynamic
process connectivity explains ecohydrologic responses to rainfall pulses and
drought, P. Natl. Acad. Sci. USA, 115, E8604–E8613,
https://doi.org/10.1073/pnas.1800236115, 2018. a
Green, J., Konings, A. G., Alemohammad, S. H., Berry, J., Entekhabi, D.,
Kolassa, J., Lee, J.-E., and Gentine, P.: Regionally strong feedbacks between
the atmosphere and terrestrial biosphere, Nat. Geosci., 10, 410–414,
https://doi.org/10.1038/ngeo2957,
2017. a
Grünwald, T. and Bernhofer, C.: A Decade of Carbon, Water and Energy Flux
Measurements of an Old Spruce Forest at the Anchor Station Tharandt,
Tellus B, 59, 387–396,
https://doi.org/10.1111/j.1600-0889.2007.00259.x, 2007. a
Guanter, L., Kaufmann, H., Segl, K., Foerster, S., Rogass, C., Chabrillat, S.,
Kuester, T., Hollstein, A., Rossner, G., Chlebek, C., Straif, C., Fischer,
S., Schrader, S., Storch, T., Heiden, U., Mueller, A., Bachmann, M., Mühle,
H., Müller, R., Habermeyer, M., Ohndorf, A., Hill, J., Buddenbaum, H.,
Hostert, P., Van der Linden, S., Leitão, P. J., Rabe, A., Doerffer, R.,
Krasemann, H., Xi, H., Mauser, W., Hank, T., Locherer, M., Rast, M., Staenz,
K., and Sang, B.: The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth
Observation, Remote Sensing, 7, 8830–8857, https://doi.org/10.3390/rs70708830, 2015. a
Harris, I., Jones, P., Osborn, T., and Lister, D.: Updated high-resolution
grids of monthly climatic observations – the CRU TS3.10 Dataset,
Int. J. Climatol., 34, 623–642, https://doi.org/10.1002/joc.3711,
2014. a
Hatala, J. A., Detto, M., and Baldocchi, D. D.: Gross Ecosystem Photosynthesis
Causes a Diurnal Pattern in Methane Emission from Rice, Geophys. Res.
Lett., 39, L06409, https://doi.org/10.1029/2012GL051303, 2012. a
Hutley, L. B., Beringer, J., Isaac, P. R., Hacker, J. M., and Cernusak, L. A.:
A Sub-Continental Scale Living Laboratory: Spatial Patterns of Savanna
Vegetation over a Rainfall Gradient in Northern Australia, Agr. Forest Meteorol., 151, 1417–1428,
https://doi.org/10.1016/j.agrformet.2011.03.002, 2011. a
Imer, D., Merbold, L., Eugster, W., and Buchmann, N.: Temporal and spatial variations of soil CO2, CH4 and N2O fluxes at three differently managed grasslands, Biogeosciences, 10, 5931–5945, https://doi.org/10.5194/bg-10-5931-2013, 2013. a
Jacobs, C. M. J., Jacobs, A. F. G., Bosveld, F. C., Hendriks, D. M. D., Hensen, A., Kroon, P. S., Moors, E. J., Nol, L., Schrier-Uijl, A., and Veenendaal, E. M.: Variability of annual CO2 exchange from Dutch grasslands, Biogeosciences, 4, 803–816, https://doi.org/10.5194/bg-4-803-2007, 2007. a
Justice, C., Townshend, J., Vermote, E., Masuoka, E., Wolfe, R., Saleous, N.,
Roy, D., and Morisette, J.: An overview of MODIS Land data processing and
product status, Remote Sens. Environ., 83, 3–15,
https://doi.org/10.1016/S0034-4257(02)00084-6, 2002. a
Knohl, A., Schulze, E.-D., Kolle, O., and Buchmann, N.: Large Carbon Uptake by
an Unmanaged 250-Year-Old Deciduous Forest in Central Germany,
Agr. Forest Meteorol., 118, 151–167,
https://doi.org/10.1016/S0168-1923(03)00115-1, 2003a. a
Knohl, A., Schulze, E.-D., Kolle, O., and Buchmann, N.: Large carbon uptake by
an unmanaged 250-year-old deciduous forest in Central Germany, Agr. Forest Meteorol., 118, 151–167,
https://doi.org/10.1016/S0168-1923(03)00115-1,
2003b. a
Kodra, E., Chatterjee, S., and Ganguly, A. R.: Exploring Granger causality
between global average observed time series of carbon dioxide and
temperature, Theor. Appl. Climatol., 104, 325–335,
https://doi.org/10.1007/s00704-010-0342-3, 2011. a
Kretschmer, M., Coumou, D., Donges, J. F., and Runge, J.: Using Causal Effect
Networks to Analyze Different Arctic Drivers of Midlatitude Winter
Circulation, J. Climate, 29, 4069–4081,
https://doi.org/10.1175/JCLI-D-15-0654.1, 2016. a
Kumar, P. and Ruddell, B.: Information driven ecohydrologic self-organization,
Entropy, 12, 2085–2096, https://doi.org/10.3390/e12102085, 2010. a
Kurbatova, J., Li, C., Varlagin, A., Xiao, X., and Vygodskaya, N.: Modeling carbon dynamics in two adjacent spruce forests with different soil conditions in Russia, Biogeosciences, 5, 969–980, https://doi.org/10.5194/bg-5-969-2008, 2008. a
Leuning, R., Cleugh, H. A., Zegelin, S. J., and Hughes, D.: Carbon and Water
Fluxes over a Temperate Eucalyptus Forest and a Tropical Wet/Dry Savanna
in Australia: Measurements and Comparison with MODIS Remote Sensing
Estimates, Agr. Forest Meteorol., 129, 151–173,
https://doi.org/10.1016/j.agrformet.2004.12.004, 2005. a
Lindauer, M., Schmid, H. P., Grote, R., Mauder, M., Steinbrecher, R., and
Wolpert, B.: Net Ecosystem Exchange over a Non-Cleared Wind-Throw-Disturbed
Upland Spruce Forest – Measurements and Simulations, Agr. Forest Meteorol., 197, 219–234, https://doi.org/10.1016/j.agrformet.2014.07.005,
2014. a
Lund, M., Falk, J. M., Friborg, T., Mbufong, H. N., Sigsgaard, C., Soegaard,
H., and Tamstorf, M. P.: Trends in CO2 Exchange in a High Arctic
Tundra Heath, 2000–2010, J. Geophys. Res.-Biogeo., 117, G02001, https://doi.org/10.1029/2011JG001901, 2012. a
Ma, S., Baldocchi, D. D., Hatala, J. A., Detto, M., and Yuste, J. C.: Are
rain-induced ecosystem respiration pulses enhanced by legacies of antecedent
photodegradation in semi-arid environments?, Agr. Forest Meteorol., 154–155, 203–213,
https://doi.org/10.1016/j.agrformet.2011.11.007,
2012. a
Mahecha, M. D., Gans, F., Sippel, S., Donges, J. F., Kaminski, T., Metzger, S., Migliavacca, M., Papale, D., Rammig, A., and Zscheischler, J.: Detecting impacts of extreme events with ecological in situ monitoring networks, Biogeosciences, 14, 4255–4277, https://doi.org/10.5194/bg-14-4255-2017, 2017. a
Malenovský, Z., Rott, H., Cihlar, J., Schaepman, M. E., García-Santos, G.,
Fernandes, R., and Berger, M.: Sentinels for science: Potential of
Sentinel-1, -2, and -3 missions for scientific observations of ocean,
cryosphere, and land, Remote Sens. Environ., 120, 91–101,
https://doi.org/10.1016/j.rse.2011.09.026, 2012. a
Marcolla, B., Pitacco, A., and Cescatti, A.: Canopy Architecture and
Turbulence Structure in a Coniferous Forest, Bound.-Lay.
Meteorol., 108, 39–59, https://doi.org/10.1023/A:1023027709805, 2003. a
Marcolla, B., Cescatti, A., Manca, G., Zorer, R., Cavagna, M., Fiora, A.,
Gianelle, D., Rodeghiero, M., Sottocornola, M., and Zampedri, R.: Climatic
Controls and Ecosystem Responses Drive the Inter-Annual Variability of the
Net Ecosystem Exchange of an Alpine Meadow, Agr. Forest Meteorol., 151, 1233–1243, https://doi.org/10.1016/j.agrformet.2011.04.015, 2011. a
Matsumoto, K., Ohta, T., Nakai, T., Kuwada, T., Daikoku, K., Iida, S., Yabuki,
H., Kononov, A. V., van der Molen, M. K., Kodama, Y., Maximov, T. C.,
Dolman, A. J., and Hattori, S.: Energy Consumption and Evapotranspiration at
Several Boreal and Temperate Forests in the Far East, Agr. Forest Meteorol., 148, 1978–1989, https://doi.org/10.1016/j.agrformet.2008.09.008,
2008. a
McDowell, N. G., Bowling, D. R., Bond, B. J., Irvine, J., Law, B. E., Anthoni,
P., and Ehleringer, J. R.: Response of the Carbon Isotopic Content of
Ecosystem, Leaf, and Soil Respiration to Meteorological and Physiological
Driving Factors in a Pinus Ponderosa Ecosystem, Global Biogeochem.
Cy., 18, GB1013, https://doi.org/10.1029/2003GB002049, 2004. a
McPherson, R. A.: A review of vegetation–atmosphere interactions and their
influences on mesoscale phenomena, Prog. Phys. Geogr., 31,
261–285, https://doi.org/10.1177/0309133307079055, 2007. a
Merbold, L., Eugster, W., Stieger, J., Zahniser, M., Nelson, D., and Buchmann,
N.: Greenhouse Gas Budget (CO2, CH4 and N2O) of Intensively
Managed Grassland Following Restoration, Glob. Change Biol., 20,
1913–1928, https://doi.org/10.1111/gcb.12518, 2014. a
Meyer, W. S., Kondrlova, E., and Koerber, G. R.: Evaporation of Perennial
Semi-Arid Woodland in Southeastern Australia Is Adapted for Irregular but
Common Dry Periods, Hydrol. Process., 29, 3714–3726,
https://doi.org/10.1002/hyp.10467, 2015. a
Miralles, D. G., Gentine, P., Seneviratne, S. I., and Teuling, A. J.:
Land–atmospheric feedbacks during droughts and heatwaves: state of the
science and current challenges, Ann. NY Acad. Sci.,
1436, 19–35, https://doi.org/10.1111/nyas.13912,
2018. a
Mogensen, P. K. and Riseth, A. N.: Optim: A mathematical optimization package
for Julia, Journal of Open Source Software, 3, 615,
https://doi.org/10.21105/joss.00615, 2018. a
Monson, R. and Baldocchi, D.: Terrestrial Biosphere-Atmosphere Fluxes,
Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9781139629218, 2014. a
Moureaux, C., Debacq, A., Bodson, B., Heinesch, B., and Aubinet, M.: Annual Net
Ecosystem Carbon Exchange by a Sugar Beet Crop, Agr. Forest Meteorol., 139, 25–39,
https://doi.org/10.1016/j.agrformet.2006.05.009, 2006. a
Nave, L. E., Gough, C. M., Maurer, K. D., Bohrer, G., Hardiman, B. S., Moine,
J. L., Munoz, A. B., Nadelhoffer, K. J., Sparks, J. P., Strahm, B. D., Vogel,
C. S., and Curtis, P. S.: Disturbance and the Resilience of Coupled Carbon
and Nitrogen Cycling in a North Temperate Forest, J. Geophys.
Res.-Biogeo., 116, G04016, https://doi.org/10.1029/2011JG001758, 2011. a
Papagiannopoulou, C., Miralles, D. G., Decubber, S., Demuzere, M., Verhoest, N. E. C., Dorigo, W. A., and Waegeman, W.: A non-linear Granger-causality framework to investigate climate–vegetation dynamics, Geosci. Model Dev., 10, 1945–1960, https://doi.org/10.5194/gmd-10-1945-2017, 2017a. a, b, c
Papale, D., Black, T. A., Carvalhais, N., Cescatti, A., Chen, J., Jung, M.,
Kiely, G., Lasslop, G., Mahecha, M. D., Margolis, H., Merbold, L.,
Montagnani, L., Moors, E., Olesen, J. E., Reichstein, M., Tramontana, G., van
Gorsel, E., Wohlfahrt, G., and Ráduly, B.: Effect of spatial sampling from
European flux towers for estimating carbon and water fluxes with artificial
neural networks, J. Geophys. Res.-Biogeo., 120,
1941–1957, https://doi.org/10.1002/2015JG002997,
2015. a
Pearl, J.: Causality, Cambridge, New York, Melbourne, Madrid, Cape Town, Singapore,São Paulo, Delhi, Dubai, Tokyo,
https://doi.org/10.1017/CBO9780511803161, 2009. a, b, c
Pearl, J. and Mackenzie, D.: The Book of Why: The New Science of Cause and
Effect, 1st Edn., Basic Books, Inc., New York, NY, USA, 2018. a
Pilegaard, K., Ibrom, A., Courtney, M. S., Hummelshøj, P., and Jensen,
N. O.: Increasing Net CO2 Uptake by a Danish Beech Forest during the
Period from 1996 to 2009, Agr. Forest Meteorol., 151, 934–946,
https://doi.org/10.1016/j.agrformet.2011.02.013, 2011. a
Pinzon, J. E. and Tucker, C. J.: A Non-Stationary 1981–2012 AVHRR NDVI3g Time
Series, Remote Sensing, 6, 6929–6960, https://doi.org/10.3390/rs6086929,
2014 (data available at: https://ecocast.arc.nasa.gov/data/pub/gimms/3g.v1/, last access: 2 Feruary 2019). a, b
Prescher, A.-K., Grünwald, T., and Bernhofer, C.: Land Use Regulates Carbon
Budgets in Eastern Germany: From NEE to NBP, Agr. Forest Meteorol., 150, 1016–1025, https://doi.org/10.1016/j.agrformet.2010.03.008,
2010a. a
Prescher, A.-K., Grünwald, T., and Bernhofer, C.: Land Use Regulates Carbon
Budgets in Eastern Germany: From NEE to NBP, Agr. Forest Meteorol., 150, 1016–1025, https://doi.org/10.1016/j.agrformet.2010.03.008,
2010b. a
Pryor, S. C., Barthelmie, R. J., and Jensen, B.: Nitrogen Dry Deposition at an
AmeriFlux Site in a Hardwood Forest in the Midwest, Geophys. Res.
Lett., 26, 691–694, https://doi.org/10.1029/1999GL900066, 1999. a
Qi, W. and Dubayah, R. O.: Combining Tandem-X InSAR and simulated GEDI lidar
observations for forest structure mapping, Remote Sens. Environ.,
187, 253–266, https://doi.org/10.1016/j.rse.2016.10.018,
2016. a
Rambal, S., Joffre, R., Ourcival, J. M., Cavender-Bares, J., and Rocheteau, A.:
The Growth Respiration Component in Eddy CO2 Flux from a Quercus Ilex
Mediterranean Forest, Glob. Change Biol., 10, 1460–1469,
https://doi.org/10.1111/j.1365-2486.2004.00819.x, 2004. a
Rayment, M. B. and Jarvis, P. G.: Seasonal Gas Exchange of Black Spruce Using
an Automatic Branch Bag System, Can. J. Forest Res., 29,
1528–1538, https://doi.org/10.1139/x99-130, 1999a. a
Rayment, M. B. and Jarvis, P. G.: Seasonal Gas Exchange of Black Spruce Using
an Automatic Branch Bag System, Can. J. Forest Res., 29,
1528–1538, https://doi.org/10.1139/x99-130, 1999b. a
Rey, A., Pegoraro, E., Tedeschi, V., Parri, I. D., Jarvis, P. G., and
Valentini, R.: Annual Variation in Soil Respiration and Its Components in a
Coppice Oak Forest in Central Italy, Glob. Change Biol., 8, 851–866,
https://doi.org/10.1046/j.1365-2486.2002.00521.x, 2002. a
Rothstein, D. E., Zak, D. R., Pregitzer, K. S., and Curtis, P. S.: Kinetics of
Nitrogen Uptake by Populus Tremuloides in Relation to Atmospheric CO2
and Soil Nitrogen Availability, Tree Physiol., 20, 265–270,
https://doi.org/10.1093/treephys/20.4.265, 2000. a
Ruddell, B., Yu, R., Kang, M., and Childers, D.: Seasonally varied controls of
climate and phenophase on terrestrial carbon dynamics: modeling eco-climate
system state using Dynamical Process Networks, Landscape Ecol., 31, 165–180,
https://doi.org/10.1007/s10980-015-0253-x, 2015. a
Ruddell, B. L. and Kumar, P.: Ecohydrologic process networks: 1.
Identification, Water Resour. Res., 45, w03419,
https://doi.org/10.1029/2008WR007279, 2009. a, b
Ruehr, N. K., Martin, J. G., and Law, B. E.: Effects of Water Availability on
Carbon and Water Exchange in a Young Ponderosa Pine Forest: Above- and
Belowground Responses, Agr. Forest Meteorol., 164, 136–148,
https://doi.org/10.1016/j.agrformet.2012.05.015, 2012a. a
Ruehr, N. K., Martin, J. G., and Law, B. E.: Effects of Water Availability on
Carbon and Water Exchange in a Young Ponderosa Pine Forest: Above- and
Belowground Responses, Agr. Forest Meteorol., 164, 136–148,
https://doi.org/10.1016/j.agrformet.2012.05.015, 2012b. a
Runge, J., Heitzig, J., Petoukhov, V., and Kurths, J.: Escaping the Curse of
Dimensionality in Estimating Multivariate Transfer Entropy, Phys. Rev. Lett.,
108, 258701, https://doi.org/10.1103/PhysRevLett.108.258701,
2012. a, b
Runge, J., Petoukhov, V., and Kurths, J.: Quantifying the Strength and Delay of
Climatic Interactions: The Ambiguities of Cross Correlation and a Novel
Measure Based on Graphical Models, J. Climate, 27, 720–739,
https://doi.org/10.1175/JCLI-D-13-00159.1, 2014. a, b
Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E., Glymour, C., Kretschmer, M., Mahecha, M. D., Muñoz-Marí, J., van Nes, E. H., Peters, J., Quax, R., Reichstein, M., Scheffer, M., Schölkopf, B., Spirtes, P., Sugihara, G., Sun, J., Zhang, K., and Zscheischler, J.:
Inferring causation from time series in Earth system sciences, Nat.
Commun., 10, 2553, https://doi.org/10.1038/s41467-019-10105-3, 2019a. a, b, c, d, e, f
Saleska, S. R., Miller, S. D., Matross, D. M., Goulden, M. L., Wofsy, S. C.,
da Rocha, H. R., de Camargo, P. B., Crill, P., Daube, B. C., de
Freitas, H. C., Hutyra, L., Keller, M., Kirchhoff, V., Menton, M., Munger,
J. W., Pyle, E. H., Rice, A. H., and Silva, H.: Carbon in Amazon Forests:
Unexpected Seasonal Fluxes and Disturbance-Induced Losses,
Science, 302, 1554–1557, https://doi.org/10.1126/science.1091165, 2003. a
Schade, G. W., Goldstein, A. H., and Lamanna, M. S.: Are Monoterpene Emissions
Influenced by Humidity?, Geophys. Res. Lett., 26, 2187–2190,
https://doi.org/10.1029/1999GL900444, 1999. a
Schreiber, T.: Measuring Information Transfer, Phys. Rev. Lett., 85, 461–464,
https://doi.org/10.1103/PhysRevLett.85.461, 2000. a, b
Scott, R. L., Huxman, T. E., Cable, W. L., and Emmerich, W. E.: Partitioning of
Evapotranspiration and Its Relation to Carbon Dioxide Exchange in a
Chihuahuan Desert Shrubland, Hydrol. Process., 20, 3227–3243,
https://doi.org/10.1002/hyp.6329, 2006. a
Scott, R. L., Cable, W. L., and Hultine, K. R.: The Ecohydrologic Significance
of Hydraulic Redistribution in a Semiarid Savanna, Water Resour. Res.,
44, W02440, https://doi.org/10.1029/2007WR006149, 2008. a
Shadaydeh, M., Garcia, Y. G., Mahecha, M., Reichstein, M., and Denzler, J.:
Analyzing the Time Variant Causality in Ecological Time Series: A
Time-Frequency Approach, in: International Conference on Ecological
Informatics (ICEI), 151–152, available at: https://icei2018.uni-jena.de/ (last access: 14 December 2019), 2018. a
Sippel, S., Forkel, M., Rammig, A., Thonicke, K., Flach, M., Heimann, M., Otto,
F. E. L., Reichstein, M., and Mahecha, M. D.: Contrasting and interacting
changes in simulated spring and summer carbon cycle extremes in European
ecosystems, Environ. Res. Lett., 12, 075006,
https://doi.org/10.1088/1748-9326/aa7398, 2017. a
Spano, D., Duce, P., Marras, S., Sirca, C., Arca, A., Zara, P., and Ventura, A.: FLUXNET2015 IT-Noe Arca di Noe – Le Prigionette, https://doi.org/10.18140/FLX/1440171, 2004–2014. a
Spirtes, P. and Glymour, C.: An Algorithm for Fast Recovery of Sparse Causal
Graphs, Soc. Sci. Comput. Rev., 9, 62–72,
https://doi.org/10.1177/089443939100900106, 1991. a, b
Suni, T., Rinne, J., Reissell, A., Altimir, N., Keronen, P., Rannik, U.,
Dal Maso, M., Kulmala, M., and Vesala, T.: Long-Term Measurements of Surface
Fluxes above a Scots Pine Forest in Hyytiala, Southern Finland,
1996–2001, Boreal Environ. Res., 8, 287–301, 2003. a
Tang, J., Baldocchi, D. D., Qi, Y., and Xu, L.: Assessing Soil CO2 Efflux
Using Continuous Measurements of CO2 Profiles in Soils with Small
Solid-State Sensors, Agr. Forest Meteorol., 118, 207–220,
https://doi.org/10.1016/S0168-1923(03)00112-6, 2003. a
Thum, T., Aalto, T., Laurila, T., Aurela, M., Kolari, P., and Hari, P.:
Parametrization of Two Photosynthesis Models at the Canopy Scale in a
Northern Boreal Scots Pine Forest, Tellus B, 59, 874–890,
https://doi.org/10.1111/j.1600-0889.2007.00305.x, 2007. a
University of East Anglia Climatic Research Unit, Jones, P. D., and Harris, I. C.: Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v3, NCAS British Atmospheric Data Centre, available at: http://catalogue.ceda.ac.uk/uuid/3f8944800cc48e1cbc29a5ee12d8542d (last access: 2 February 2019), 2008. a
Valentini, R., Angelis, P. D., Matteucci, G., Monaco, R., Dore, S., and
Mucnozza, G. E. S.: Seasonal Net Carbon Dioxide Exchange of a Beech Forest
with the Atmosphere, Glob. Change Biol., 2, 199–207,
https://doi.org/10.1111/j.1365-2486.1996.tb00072.x, 1996. a
Vitale, L., Di Tommasi, P., D'Urso, G., and Magliulo, V.: The Response of
Ecosystem Carbon Fluxes to LAI and Environmental Drivers in a Maize Crop
Grown in Two Contrasting Seasons, Int. J. Biometeorol.,
60, 411–420, https://doi.org/10.1007/s00484-015-1038-2, 2016. a
von Buttlar, J., Zscheischler, J., Rammig, A., Sippel, S., Reichstein, M., Knohl, A., Jung, M., Menzer, O., Arain, M. A., Buchmann, N., Cescatti, A., Gianelle, D., Kiely, G., Law, B. E., Magliulo, V., Margolis, H., McCaughey, H., Merbold, L., Migliavacca, M., Montagnani, L., Oechel, W., Pavelka, M., Peichl, M., Rambal, S., Raschi, A., Scott, R. L., Vaccari, F. P., van Gorsel, E., Varlagin, A., Wohlfahrt, G., and Mahecha, M. D.: Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones, Biogeosciences, 15, 1293–1318, https://doi.org/10.5194/bg-15-1293-2018, 2018. a
Wang, C., Bond-Lamberty, B., and Gower, S. T.: Environmental Controls on
Carbon Dioxide Flux from Black Spruce Coarse Woody Debris, Oecologia, 132,
374–381, https://doi.org/10.1007/s00442-002-0987-4, 2002a.
a
Wang, C., Bond-Lamberty, B., and Gower, S. T.: Environmental Controls on
Carbon Dioxide Flux from Black Spruce Coarse Woody Debris, Oecologia, 132,
374–381, https://doi.org/10.1007/s00442-002-0987-4, 2002b. a
Wang, C., Bond-Lamberty, B., and Gower, S. T.: Environmental Controls on
Carbon Dioxide Flux from Black Spruce Coarse Woody Debris, Oecologia, 132,
374–381, https://doi.org/10.1007/s00442-002-0987-4, 2002c. a
Westergaard-Nielsen, A., Lund, M., Hansen, B. U., and Tamstorf, M. P.: Camera
Derived Vegetation Greenness Index as Proxy for Gross Primary Production in a
Low Arctic Wetland Area, ISPRS J. Photogramm., 86, 89–99, https://doi.org/10.1016/j.isprsjprs.2013.09.006, 2013. a
Wofsy, S. C., Goulden, M. L., Munger, J. W., Fan, S.-M., Bakwin, P. S., Daube,
B. C., Bassow, S. L., and Bazzaz, F. A.: Net Exchange of CO2 in a
Mid-Latitude Forest, Science, 260, 1314–1317,
https://doi.org/10.1126/science.260.5112.1314, 1993. a
Wohlfahrt, G., Hammerle, A., Haslwanter, A., Bahn, M., Tappeiner, U., and
Cernusca, A.: Seasonal and inter-annual variability of the net ecosystem CO2
exchange of a temperate mountain grassland: Effects of weather and
management, J. Geophys. Res.-Atmos., 113, D08110,
https://doi.org/10.1029/2007JD009286, 2008. a
Woodcock, C. E., Allen, R., Anderson, M., Belward, A., Bindschadler, R., Cohen,
W., Gao, F., Goward, S. N., Helder, D., Helmer, E., Nemani, R., Oreopoulos,
L., Schott, J., Thenkabail, P. S., Vermote, E. F., Vogelmann, J., Wulder,
M. A., and Wynne, R.: Free Access to Landsat Imagery, Science, 320,
1011–1011, https://doi.org/10.1126/science.320.5879.1011a, 2008. a
Wright, S.: Correlation and causation, J. Agr. Res., 20, 557–580,
1921. a
Xu, L., Baldocchi, D. D., and Tang, J.: How Soil Moisture, Rain Pulses, and
Growth Alter the Response of Ecosystem Respiration to Temperature, Global
Biogeochem. Cy., 18, GB4002, https://doi.org/10.1029/2004GB002281, 2004. a
Yu, R., Ruddell, B. L., Kang, M., Kim, J., and Childers, D.: Anticipating
global terrestrial ecosystem state change using FLUXNET, Glob. Change Biol., 25, 2352–2367, https://doi.org/10.1111/gcb.14602,
2019. a
Zielis, S., Etzold, S., Zweifel, R., Eugster, W., Haeni, M., and Buchmann, N.: NEP of a Swiss subalpine forest is significantly driven not only by current but also by previous year's weather, Biogeosciences, 11, 1627–1635, https://doi.org/10.5194/bg-11-1627-2014, 2014. a
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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.
Causal inference promises new insight into biosphere–atmosphere interactions using time series...
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