Articles | Volume 13, issue 5
https://doi.org/10.5194/bg-13-1409-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-1409-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Mar 2016
Research article |
| 07 Mar 2016
Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements
Rahul Raj
CORRESPONDING AUTHOR
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Nicholas Alexander Samuel Hamm
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Christiaan van der Tol
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Alfred Stein
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
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Manuscript not accepted for further review
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Biogeosciences, 19, 4945–4963, https://doi.org/10.5194/bg-19-4945-2022, https://doi.org/10.5194/bg-19-4945-2022, 2022
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We studied the short- and long-term effects of CO2 as a function of temperature on monoterpene emissions from holm oak. Similarly to isoprene, emissions decreased non-linearly with increasing CO2, with no differences among compounds and chemotypes. The CO2 response was modulated by actual leaf and growth temperature but not by growth CO2. Estimates of annual monoterpene release under double CO2 suggest that CO2 inhibition does not offset the increase in emissions due to expected warming.
Brendan Byrne, Junjie Liu, Yonghong Yi, Abhishek Chatterjee, Sourish Basu, Rui Cheng, Russell Doughty, Frédéric Chevallier, Kevin W. Bowman, Nicholas C. Parazoo, David Crisp, Xing Li, Jingfeng Xiao, Stephen Sitch, Bertrand Guenet, Feng Deng, Matthew S. Johnson, Sajeev Philip, Patrick C. McGuire, and Charles E. Miller
Biogeosciences, 19, 4779–4799, https://doi.org/10.5194/bg-19-4779-2022, https://doi.org/10.5194/bg-19-4779-2022, 2022
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Plants draw CO2 from the atmosphere during the growing season, while respiration releases CO2 to the atmosphere throughout the year, driving seasonal variations in atmospheric CO2 that can be observed by satellites, such as the Orbiting Carbon Observatory 2 (OCO-2). Using OCO-2 XCO2 data and space-based constraints on plant growth, we show that permafrost-rich northeast Eurasia has a strong seasonal release of CO2 during the autumn, hinting at an unexpectedly large respiration signal from soils.
Valery A. Isidorov and Andrej A. Zaitsev
Biogeosciences, 19, 4715–4746, https://doi.org/10.5194/bg-19-4715-2022, https://doi.org/10.5194/bg-19-4715-2022, 2022
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Biogenic volatile organic compounds (VOCs) play a critical role in earth-system processes: they are
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David S. McLagan, Harald Biester, Tomas Navrátil, Stephan M. Kraemer, and Lorenz Schwab
Biogeosciences, 19, 4415–4429, https://doi.org/10.5194/bg-19-4415-2022, https://doi.org/10.5194/bg-19-4415-2022, 2022
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Spruce and larch trees are effective archiving species for historical atmospheric mercury using growth rings of bole wood. Mercury stable isotope analysis proved an effective tool to characterise industrial mercury signals and assess mercury uptake pathways (leaf uptake for both wood and bark) and mercury cycling within the trees. These data detail important information for understanding the mercury biogeochemical cycle particularly in forest systems.
Xin Yu, René Orth, Markus Reichstein, Michael Bahn, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Mirco Migliavacca, Martina Mund, Jacob A. Nelson, Benjamin D. Stocker, Sophia Walther, and Ana Bastos
Biogeosciences, 19, 4315–4329, https://doi.org/10.5194/bg-19-4315-2022, https://doi.org/10.5194/bg-19-4315-2022, 2022
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Identifying drought legacy effects is challenging because they are superimposed on variability driven by climate conditions in the recovery period. We develop a residual-based approach to quantify legacies on gross primary productivity (GPP) from eddy covariance data. The GPP reduction due to legacy effects is comparable to the concurrent effects at two sites in Germany, which reveals the importance of legacy effects. Our novel methodology can be used to quantify drought legacies elsewhere.
Anders Lindroth, Norbert Pirk, Ingibjörg S. Jónsdóttir, Christian Stiegler, Leif Klemedtsson, and Mats B. Nilsson
Biogeosciences, 19, 3921–3934, https://doi.org/10.5194/bg-19-3921-2022, https://doi.org/10.5194/bg-19-3921-2022, 2022
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We measured the fluxes of carbon dioxide and methane between a moist moss tundra and the atmosphere on Svalbard in order to better understand how such ecosystems are affecting the climate and vice versa. We found that the system was a small sink of carbon dioxide and a small source of methane. These fluxes are small in comparison with other tundra ecosystems in the high Arctic. Analysis of temperature sensitivity showed that respiration was more sensitive than photosynthesis above about 6 ℃.
Phillip Papastefanou, Christian S. Zang, Zlatan Angelov, Aline Anderson de Castro, Juan Carlos Jimenez, Luiz Felipe Campos De Rezende, Romina C. Ruscica, Boris Sakschewski, Anna A. Sörensson, Kirsten Thonicke, Carolina Vera, Nicolas Viovy, Celso Von Randow, and Anja Rammig
Biogeosciences, 19, 3843–3861, https://doi.org/10.5194/bg-19-3843-2022, https://doi.org/10.5194/bg-19-3843-2022, 2022
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The Amazon rainforest has been hit by multiple severe drought events. In this study, we assess the severity and spatial extent of the extreme drought years 2005, 2010 and 2015/16 in the Amazon. Using nine different precipitation datasets and three drought indicators we find large differences in drought stress across the Amazon region. We conclude that future studies should use multiple rainfall datasets and drought indicators when estimating the impact of drought stress in the Amazon region.
Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie, Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Biogeosciences, 19, 3739–3756, https://doi.org/10.5194/bg-19-3739-2022, https://doi.org/10.5194/bg-19-3739-2022, 2022
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A number of studies have been conducted by using machine learning approaches to simulate carbon fluxes. We performed a meta-analysis of these net ecosystem exchange (NEE) simulations. Random forests and support vector machines performed better than other algorithms. Models with larger timescales had a lower accuracy. For different plant functional types (PFTs), there were significant differences in the predictors used and their effects on model accuracy.
Siqi Li, Wei Zhang, Xunhua Zheng, Yong Li, Shenghui Han, Rui Wang, Kai Wang, Zhisheng Yao, Chunyan Liu, and Chong Zhang
Biogeosciences, 19, 3001–3019, https://doi.org/10.5194/bg-19-3001-2022, https://doi.org/10.5194/bg-19-3001-2022, 2022
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The CNMM–DNDC model was modified to simulate ammonia volatilization (AV) from croplands. AV from cultivated uplands followed the first-order kinetics, which was jointly regulated by the factors of soil properties and meteorological conditions. AV simulation from rice paddy fields was improved by incorporating Jayaweera–Mikkelsen mechanisms. The modified model performed well in simulating the observed cumulative AV measured from 63 fertilization events in China.
Matthias Volk, Matthias Suter, Anne-Lena Wahl, and Seraina Bassin
Biogeosciences, 19, 2921–2937, https://doi.org/10.5194/bg-19-2921-2022, https://doi.org/10.5194/bg-19-2921-2022, 2022
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Because soils are an important sink for greenhouse gasses, we subjected sub-alpine grassland to a six-level climate change treatment.
Two independent methods showed that at warming > 1.5 °C the grassland ecosystem lost ca. 14 % or ca. 1 kg C m−2 in 5 years.
This shrinking of the terrestrial C sink implies a substantial positive feedback to the atmospheric greenhouse effect.
It is likely that this dramatic C loss is a transient effect before a new, climate-adjusted steady state is reached.
Johan A. Eckdahl, Jeppe A. Kristensen, and Daniel B. Metcalfe
Biogeosciences, 19, 2487–2506, https://doi.org/10.5194/bg-19-2487-2022, https://doi.org/10.5194/bg-19-2487-2022, 2022
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This study found climate to be a driving force for increasing per area emissions of greenhouse gases and removal of important nutrients from high-latitude forests due to wildfire. It used detailed direct measurements over a large area to uncover patterns and mechanisms of restructuring of forest carbon and nitrogen pools that are extrapolatable to larger regions. It also takes a step forward in filling gaps in global knowledge of northern forest response to climate-change-strengthened wildfires.
Sparkle L. Malone, Youmi Oh, Kyle A. Arndt, George Burba, Roisin Commane, Alexandra R. Contosta, Jordan P. Goodrich, Henry W. Loescher, Gregory Starr, and Ruth K. Varner
Biogeosciences, 19, 2507–2522, https://doi.org/10.5194/bg-19-2507-2022, https://doi.org/10.5194/bg-19-2507-2022, 2022
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To understand the CH4 flux potential of natural ecosystems and agricultural lands in the United States of America, a multi-scale CH4 observation network focused on CH4 flux rates, processes, and scaling methods is required. This can be achieved with a network of ground-based observations that are distributed based on climatic regions and land cover.
Bruna R. F. Oliveira, Jan J. Keizer, and Thomas Foken
Biogeosciences, 19, 2235–2243, https://doi.org/10.5194/bg-19-2235-2022, https://doi.org/10.5194/bg-19-2235-2022, 2022
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This study analyzes the impacts of this windthrow on the aerodynamic characteristics of zero-plane displacement and roughness length and, ultimately, their implications for the turbulent fluxes. The turbulent fluxes were only affected to a minor degree by the windthrow, but the footprint area of the flux tower changed markedly so that the target area of the measurements had to be redetermined.
Minttu Havu, Liisa Kulmala, Pasi Kolari, Timo Vesala, Anu Riikonen, and Leena Järvi
Biogeosciences, 19, 2121–2143, https://doi.org/10.5194/bg-19-2121-2022, https://doi.org/10.5194/bg-19-2121-2022, 2022
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The carbon sequestration potential of two street tree species and the soil beneath them was quantified with the urban land surface model SUEWS and the soil carbon model Yasso. The street tree plantings turned into a modest sink of carbon from the atmosphere after 14 years. Overall, the results indicate the importance of soil in urban carbon sequestration estimations, as soil respiration exceeded the carbon uptake in the early phase, due to the high initial carbon loss from the soil.
Jarmo Mäkelä, Laila Melkas, Ivan Mammarella, Tuomo Nieminen, Suyog Chandramouli, Rafael Savvides, and Kai Puolamäki
Biogeosciences, 19, 2095–2099, https://doi.org/10.5194/bg-19-2095-2022, https://doi.org/10.5194/bg-19-2095-2022, 2022
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Causal structure discovery algorithms have been making headway into Earth system sciences, and they can be used to increase our understanding on biosphere–atmosphere interactions. In this paper we present a procedure on how to utilize prior knowledge of the domain experts together with these algorithms in order to find more robust causal structure models. We also demonstrate how to avoid pitfalls such as over-fitting and concept drift during this process.
Makoto Saito, Tomohiro Shiraishi, Ryuichi Hirata, Yosuke Niwa, Kazuyuki Saito, Martin Steinbacher, Doug Worthy, and Tsuneo Matsunaga
Biogeosciences, 19, 2059–2078, https://doi.org/10.5194/bg-19-2059-2022, https://doi.org/10.5194/bg-19-2059-2022, 2022
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This study tested combinations of two sources of AGB data and two sources of LCC data and used the same burned area satellite data to estimate BB CO emissions. Our analysis showed large discrepancies in annual mean CO emissions and explicit differences in the simulated CO concentrations among the BB emissions estimates. This study has confirmed that BB emissions estimates are sensitive to the land surface information on which they are based.
Johannes Gensheimer, Alexander J. Turner, Philipp Köhler, Christian Frankenberg, and Jia Chen
Biogeosciences, 19, 1777–1793, https://doi.org/10.5194/bg-19-1777-2022, https://doi.org/10.5194/bg-19-1777-2022, 2022
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We develop a convolutional neural network, named SIFnet, that increases the spatial resolution of SIF from TROPOMI by a factor of 10 to a spatial resolution of 0.005°. SIFnet utilizes coarse SIF observations, together with a broad range of high-resolution auxiliary data. The insights gained from interpretable machine learning techniques allow us to make quantitative claims about the relationships between SIF and other common parameters related to photosynthesis.
Shihan Sun, Amos P. K. Tai, David H. Y. Yung, Anthony Y. H. Wong, Jason A. Ducker, and Christopher D. Holmes
Biogeosciences, 19, 1753–1776, https://doi.org/10.5194/bg-19-1753-2022, https://doi.org/10.5194/bg-19-1753-2022, 2022
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We developed and used a terrestrial biosphere model to compare and evaluate widely used empirical dry deposition schemes with different stomatal approaches and found that using photosynthesis-based stomatal approaches can reduce biases in modeled dry deposition velocities in current chemical transport models. Our study shows systematic errors in current dry deposition schemes and the importance of representing plant ecophysiological processes in models under a changing climate.
Ka Ming Fung, Maria Val Martin, and Amos P. K. Tai
Biogeosciences, 19, 1635–1655, https://doi.org/10.5194/bg-19-1635-2022, https://doi.org/10.5194/bg-19-1635-2022, 2022
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Fertilizer-induced ammonia detrimentally affects the environment by not only directly damaging ecosystems but also indirectly altering climate and soil fertility. To quantify these secondary impacts, we enabled CESM to simulate ammonia emission, chemical evolution, and deposition as a continuous cycle. If synthetic fertilizer use is to soar by 30 % from today's level, we showed that the counteracting impacts will increase the global ammonia emission by 3.3 Tg N per year.
Lena Wohlgemuth, Pasi Rautio, Bernd Ahrends, Alexander Russ, Lars Vesterdal, Peter Waldner, Volkmar Timmermann, Nadine Eickenscheidt, Alfred Fürst, Martin Greve, Peter Roskams, Anne Thimonier, Manuel Nicolas, Anna Kowalska, Morten Ingerslev, Päivi Merilä, Sue Benham, Carmen Iacoban, Günter Hoch, Christine Alewell, and Martin Jiskra
Biogeosciences, 19, 1335–1353, https://doi.org/10.5194/bg-19-1335-2022, https://doi.org/10.5194/bg-19-1335-2022, 2022
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Gaseous mercury is present in the atmosphere all over the globe. During the growing season, plants take up mercury from the air in a similar way as CO2. We investigated which factors impact this vegetational mercury uptake by analyzing a large dataset of leaf mercury uptake rates of trees in Europe. As a result, we conclude that mercury uptake is foremost controlled by tree-intrinsic traits like physiological activity but also by climatic factors like dry conditions in the air and in soils.
Junqi Wei, Xiaoyan Li, Lei Liu, Torben Røjle Christensen, Zhiyun Jiang, Yujun Ma, Xiuchen Wu, Hongyun Yao, and Efrén López-Blanco
Biogeosciences, 19, 861–875, https://doi.org/10.5194/bg-19-861-2022, https://doi.org/10.5194/bg-19-861-2022, 2022
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Although water availability has been linked to the response of ecosystem carbon (C) sink–source to climate warming, the mechanisms by which C uptake responds to soil moisture remain unclear. We explored how soil water and other environmental drivers modulate net C uptake in an alpine swamp meadow. Results reveal that nearly saturated soil conditions during warm seasons can help to maintain lower ecosystem respiration and therefore enhance the C sequestration capacity in this alpine swamp meadow.
Martijn M. T. A. Pallandt, Jitendra Kumar, Marguerite Mauritz, Edward A. G. Schuur, Anna-Maria Virkkala, Gerardo Celis, Forrest M. Hoffman, and Mathias Göckede
Biogeosciences, 19, 559–583, https://doi.org/10.5194/bg-19-559-2022, https://doi.org/10.5194/bg-19-559-2022, 2022
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Thawing of Arctic permafrost soils could trigger the release of vast amounts of carbon to the atmosphere, thus enhancing climate change. Our study investigated how well the current network of eddy covariance sites to monitor greenhouse gas exchange at local scales captures pan-Arctic flux patterns. We identified large coverage gaps, e.g., in Siberia, but also demonstrated that a targeted addition of relatively few sites can significantly improve network performance.
Pascal Wintjen, Frederik Schrader, Martijn Schaap, Burkhard Beudert, and Christian Brümmer
Biogeosciences, 19, 389–413, https://doi.org/10.5194/bg-19-389-2022, https://doi.org/10.5194/bg-19-389-2022, 2022
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Fluxes of total reactive nitrogen (∑Nr) over a low polluted forest were analyzed with regard to their temporal dynamics. Mostly deposition was observed with median fluxes ranging from −15 to −5 ng N m−2 s−1, corresponding to a range of deposition velocities from 0.2 to 0.5 cm s−1. While seasonally changing contributions of NH3 and NOx to the ∑Nr signal were found, we estimate an annual total N deposition (dry+wet) of 12.2 and 10.9 kg N ha−1 a−1 in the 2 years of observation.
Thomas M. Blattmann
Biogeosciences, 19, 359–373, https://doi.org/10.5194/bg-19-359-2022, https://doi.org/10.5194/bg-19-359-2022, 2022
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This work enunciates the possibility of kerogen oxidation contributing to atmospheric CO2 increase in the wake of glacial episodes. This hypothesis is substantiated by several lines of independent evidence synthesized in this contribution. The author hypothesizes that the deglaciation of kerogen-rich lithologies in western Canada contributed to the characteristic deglacial increase in atmospheric CO2.
Juliana Gil-Loaiza, Joseph R. Roscioli, Joanne H. Shorter, Till H. M. Volkmann, Wei-Ren Ng, Jordan E. Krechmer, and Laura K. Meredith
Biogeosciences, 19, 165–185, https://doi.org/10.5194/bg-19-165-2022, https://doi.org/10.5194/bg-19-165-2022, 2022
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We evaluated a new diffusive soil probe integrated with high-resolution gas analyzers to measure soil gases in real time at a centimeter scale. Using columns with simple silica and soil, we captured changes in carbon dioxide (CO2), volatile organic compounds (VOCs), and nitrous oxide (N2O) with its isotopes to distinguish potential nutrient sources and microbial metabolism. This approach will advance the use of soil gases as important signals to understand and monitor soil fertility and health.
Yujie Wang and Christian Frankenberg
Biogeosciences, 19, 29–45, https://doi.org/10.5194/bg-19-29-2022, https://doi.org/10.5194/bg-19-29-2022, 2022
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Modeling vegetation canopy is important in predicting whether the land remains a carbon sink to mitigate climate change in the near future. Vegetation canopy model complexity, however, impacts the model-predicted carbon and water fluxes as well as canopy fluorescence, even if the same suite of model inputs is used. Given the biases caused by canopy model complexity, we recommend not misusing parameters inverted using different models or assumptions.
Håkan Pleijel, Jenny Klingberg, Michelle Nerentorp, Malin C. Broberg, Brigitte Nyirambangutse, John Munthe, and Göran Wallin
Biogeosciences, 18, 6313–6328, https://doi.org/10.5194/bg-18-6313-2021, https://doi.org/10.5194/bg-18-6313-2021, 2021
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Mercury is a problematic metal in the environment. It is crucial to understand the Hg circulation in ecosystems. We explored the mercury concentration in foliage from a diverse set of plants, locations and sampling periods to study the accumulation of Hg in leaves–needles over time. Mercury was always higher in older tissue: in broadleaved trees, conifers and wheat. Specific leaf area, the leaf area per unit leaf mass, turned out to be critical for Hg accumulation in leaves–needles.
Julia Burkart, Jürgen Gratzl, Teresa M. Seifried, Paul Bieber, and Hinrich Grothe
Biogeosciences, 18, 5751–5765, https://doi.org/10.5194/bg-18-5751-2021, https://doi.org/10.5194/bg-18-5751-2021, 2021
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Extracts of birch pollen grains are known to be ice nucleation active and thus impact cloud formation and climate. In this study we develop an extraction method to separate subpollen particles from ice nucleating macromolecules. Our results thereby illustrate that ice nucleating macromolecules can be washed off the subpollen particles and that the ice activity is linked to the presence of proteins.
Teresa Vogl, Amy Hrdina, and Christoph K. Thomas
Biogeosciences, 18, 5097–5115, https://doi.org/10.5194/bg-18-5097-2021, https://doi.org/10.5194/bg-18-5097-2021, 2021
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The relaxed eddy accumulation technique is a method used for measuring fluxes of chemical species in the atmosphere. It relies on a proportionality factor, β, which can be determined using different methods. Also, different techniques for sampling can be used by only drawing air into the measurement system when vertical wind velocity exceeds a certain threshold. We compare different ways to obtain β and different threshold techniques to direct flux measurements for three different sites.
Maria Prass, Meinrat O. Andreae, Alessandro C. de Araùjo, Paulo Artaxo, Florian Ditas, Wolfgang Elbert, Jan-David Förster, Marco Aurélio Franco, Isabella Hrabe de Angelis, Jürgen Kesselmeier, Thomas Klimach, Leslie Ann Kremper, Eckhard Thines, David Walter, Jens Weber, Bettina Weber, Bernhard M. Fuchs, Ulrich Pöschl, and Christopher Pöhlker
Biogeosciences, 18, 4873–4887, https://doi.org/10.5194/bg-18-4873-2021, https://doi.org/10.5194/bg-18-4873-2021, 2021
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Bioaerosols in the atmosphere over the Amazon rain forest were analyzed by molecular biological staining and microscopy. Eukaryotic, bacterial, and archaeal aerosols were quantified in time series and altitude profiles which exhibited clear differences in number concentrations and vertical distributions. Our results provide insights into the sources and dispersion of different Amazonian bioaerosol types as a basis for a better understanding of biosphere–atmosphere interactions.
Michael P. Adams, Nina S. Atanasova, Svetlana Sofieva, Janne Ravantti, Aino Heikkinen, Zoé Brasseur, Jonathan Duplissy, Dennis H. Bamford, and Benjamin J. Murray
Biogeosciences, 18, 4431–4444, https://doi.org/10.5194/bg-18-4431-2021, https://doi.org/10.5194/bg-18-4431-2021, 2021
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The formation of ice in clouds is critically important for the planet's climate. Hence, we need to know which aerosol types nucleate ice and how effectively they do so. Here we show that virus particles, with a range of architectures, nucleate ice when immersed in supercooled water. However, we also show that they only make a minor contribution to the ice-nucleating particle population in the terrestrial atmosphere, but we cannot rule them out as being important in the marine environment.
Laura Heimsch, Annalea Lohila, Juha-Pekka Tuovinen, Henriikka Vekuri, Jussi Heinonsalo, Olli Nevalainen, Mika Korkiakoski, Jari Liski, Tuomas Laurila, and Liisa Kulmala
Biogeosciences, 18, 3467–3483, https://doi.org/10.5194/bg-18-3467-2021, https://doi.org/10.5194/bg-18-3467-2021, 2021
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CO2 and H2O fluxes were measured at a newly established eddy covariance site in southern Finland for 2 years from 2018 to 2020. This agricultural grassland site focuses on the conversion from intensive towards more sustainable agricultural management. The first summer experienced prolonged dry periods, and notably larger fluxes were observed in the second summer. The field acted as a net carbon sink during both study years.
Anteneh Getachew Mengistu, Gizaw Mengistu Tsidu, Gerbrand Koren, Maurits L. Kooreman, K. Folkert Boersma, Torbern Tagesson, Jonas Ardö, Yann Nouvellon, and Wouter Peters
Biogeosciences, 18, 2843–2857, https://doi.org/10.5194/bg-18-2843-2021, https://doi.org/10.5194/bg-18-2843-2021, 2021
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In this study, we assess the usefulness of Sun-Induced Fluorescence of Terrestrial Ecosystems Retrieval (SIFTER) data from the GOME-2A instrument and near-infrared reflectance of vegetation (NIRv) from MODIS to capture the seasonality and magnitudes of gross primary production (GPP) derived from six eddy-covariance flux towers in Africa in the overlap years between 2007–2014. We also test the robustness of sun-induced fluoresence and NIRv to compare the seasonality of GPP for the major biomes.
Robbie Ramsay, Chiara F. Di Marco, Mathew R. Heal, Matthias Sörgel, Paulo Artaxo, Meinrat O. Andreae, and Eiko Nemitz
Biogeosciences, 18, 2809–2825, https://doi.org/10.5194/bg-18-2809-2021, https://doi.org/10.5194/bg-18-2809-2021, 2021
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The exchange of the gas ammonia between the atmosphere and the surface is an important biogeochemical process, but little is known of this exchange for certain ecosystems, such as the Amazon rainforest. This study took measurements of ammonia exchange over an Amazon rainforest site and subsequently modelled the observed deposition and emission patterns. We observed emissions of ammonia from the rainforest, which can be simulated accurately by using a canopy resistance modelling approach.
Cited articles
Aubinet, M., Vesala, T., and Papale, D.: Eddy Covariance: A Practical Guide
to Measurement and Data Analysis, 1st Edn., Springer, Dordrecht, the
Netherlands, 2012.
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, 2003.
Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N.,
Rödenbeck,
C., Arain, M. A., Baldocchi, D., Bonan, G. B., Bondeau, A., Cescatti, A., Lasslop, G., Lindroth,
A., Lomas, M., Luyssaert, S., Margolis, H., Oleson, K. W., Roupsard, O., Veenendaal, E., Viovy, N.,
Williams, C., Woodward, F. I., and Papale, D.: Terrestrial Gross Carbon Dioxide Uptake: Global Distribution
and Covariation with Climate, Science, 329, 834–838, 2010.
Blackman, F. F.: Optima and limiting factors, Ann. Bot., 19, 281–296, 1905.
Bonan, G. B., Levis, S., Kergoat, L., and Oleson, K. W.: Landscapes as
patches of plant functional types: an integrating concept for climate and
ecosystem models, Global Biogeochem. Cy., 16, 5-1–5-23, 2002.
Cannell, M. G. R. and Thornley, J. H. M.: Temperature and CO2 responses
of leaf and canopy photosynthesis: a clarification using the non-rectangular
hyperbola model of photosynthesis, Ann. Bot., 82, 883–892, 1998.
Davidson, E. A., Janssens, I. A., and Luo, Y.: On the variability of
respiration in terrestrial ecosystems: moving beyond Q10, Glob. Change
Biol., 12, 154–164, 2006.
Desai, A. R., Richardson, A. D., Moffat, A. M., Kattge, J., Hollinger, D. Y.,
Barr, A., Falge, E., Noormets, A., Papale, D., Reichstein, M., and Stauch,
V. J.: Cross-site evaluation of eddy covariance GPP and RE decomposition
techniques, Agr. Forest Meteorol., 148, 821–838, 2008.
Du, Z., Nie, Y., He, Y., Yu, G., Wang, H., and Zhou, X.: Complementarity of flux-and
biometric-based data to constrain parameters in a terrestrial carbon model, Tellus B,
67, 24102, https://doi.org/10.3402/tellusb.v67.24102, 2015.
Foken, T., Göockede, M., Mauder, M., Mahrt, L., Amiro, B., and Munger, W.: Post-field data quality control, in:
Handbook of Micrometeorology, edited by: Lee, X., Massman, W., and Law, B.,
vol. 29 of Atmospheric and Oceanographic Sciences Library, Chap. 9, Springer,
Dordrecht, the Netherlands, 181–208, 2005.
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., and
Rubin, D. B.: Bayesian Data Analysis, CRC Press, Boca Raton, 2013.
Gilmanov, T. G., Verma, S. B., Sims, P. L., Meyers, T. P., Bradford, J. A.,
Burba, G. G., and Suyker, A. E.: Gross primary production and light response
parameters of four Southern Plains ecosystems estimated using long-term
CO2-flux tower measurements, Global Biogeochem. Cy., 17,
1071, https://doi.org/10.1029/2002GB002023, 2003.
Gilmanov, T. G., Aires, L., Barcza, Z., Baron, V. S., Belelli, L., Beringer,
J., Billesbach, D., Bonal, D., Bradford, J., Ceschia, E., Cook, D., Corradi,
C., Frank, A., Gianelle, D., Gimeno, C., Gruenwald, T., Guo, H., Hanan, N.,
Haszpra, L., Heilman, J., Jacobs, A., Jones, M. B., Johnson, D. A., Kiely,
G., Li, S., Magliulo, V., Moors, E., Nagy, Z., Nasyrov, M., Owensby, C.,
Pinter, K., Pio, C., Reichstein, M., Sanz, M. J., Scott, R., Soussana, J. F.,
Stoy, P. C., Svejcar, T., Tuba, Z., and Zhou, G.: Productivity, respiration,
and light-response parameters of world grassland and agroecosystems derived
from flux-tower measurements, Rangeland Ecol. Manag., 63, 16–39, 2010.
Gilmanov, T. G., Wylie, B. K., Tieszen, L. L.,
Meyers, T. P., Baron, V. S., Bernacchi, C. J., Billesbach, D. P., Burba,
G. G., Fischer, M. L., Glenn, A. J., Hanan, N. P., Hatfield, J. L., Heuer,
M. W., Hollinger, S. E., Howard, D. M., Matamala, R., Prueger, J. H., Tenuta, M., and Young, D. G.: CO2
uptake and ecophysiological parameters of the grain crops of midcontinent North America:
estimates from flux tower measurements, Agr. Ecosyst. Environ., 164, 162–175, 2013.
Goulden, M. L., Munger, J. W., Fan, S.-M., Daube, B. C., and Wofsy, S. C.: Measurements of carbon
sequestration by long-term eddy covariance: methods and a critical evaluation of accuracy,
Global Change Biol., 2, 169–182, 1996.
Hagen, S. C., Braswell,
B. H., Linder, E., Frolking, S., Richardson, A. D., and Hollinger, D. Y.: Statistical uncertainty of eddy flux-based estimates
of gross ecosystem carbon exchange at Howland Forest, Maine, J. Geophys. Res.-Atmos., 111, D08S03, https://doi.org/10.1029/2005JD006154, 2006.
Hamm, N. A. S., Atkinson, P. M., and Milton, E. J.: A per-pixel,
non-stationary mixed model for empirical line atmospheric correction in
remote sensing, Remote Sens. Environ., 124, 666–678, 2012.
Johnson, I. R.: PlantMod: exploring the physiology of plant canopies, IMJ
Software, Melbourne, Australia, 2013.
Johnson, I. R., Thornley, J. H. M., Frantz, J. M., and Bugbee, B.: A model of
canopy photosynthesis incorporating protein distribution through the canopy
and its acclimation to light, temperature and CO2, Ann. Bot., 106,
735–749, 2010.
Körner, C.: Leaf Diffusive Conductances in the Major Vegetation Types of
the Globe, in: Ecophysiology of Photosynthesis, edited by: Schulze, E. D.
and Caldwell, M. M., vol. 100 of Springer Study Edition, Chap. 22,
Springer-Verlag, New York, 463–490, 1995.
Lasslop, G., Reichstein, M., Papale, D., Richardson, A. D., Arneth, A., Barr,
A., Stoy, P., and Wohlfahrt, G.: Separation of net ecosystem exchange into
assimilation and respiration using a light response curve approach: critical
issues and global evaluation, Glob. Change Biol., 16, 187–208, 2010.
Lewis, J. D., McKane, R. B., Tingey, D. T., and Beedlow, P. A.: Vertical gradients in photosynthetic
light response within an old-growth Douglas-fir and western hemlock canopy, Tree Physiol., 20, 447–456, 2000.
Li, X., Liang, S., Yu, G., Yuan, W., Cheng, X., Xia, J., Zhao, T., Feng, J., Ma, Z., Ma, M., Liu, S.,
Chen, J., Shao, C., Li, S., Zhang, X., Zhang, Z., Chen, S., Ohta, T., Varlagin, A., Miyata, A., Takagi,
K., Saiqusa, N., and Kato, T.: Estimation of gross primary production over the terrestrial
ecosystems in China, Ecol. Model., 261–262, 80–92, 2013.
Long, S. P., Zhu, X.-G., Naidu, S. L., and Ort, D. R.: Can improvement in
photosynthesis increase crop yields?, Plant Cell Environ., 29, 315–330,
2006.
Lunn, D., Thomas, A., Best, N., and Spiegelhalter, D.: WinBUGS – a Bayesian modelling framework:
Concepts, structure, and extensibility, Stat. Comput., 10, 325–337, 2000.
Lunn, D., Jackson, C., Best, N., Thomas, A., and Spiegelhalter, D.: The BUGS
Book – A Practical Introduction to Bayesian Analysis, CRC Press, Boca Raton,
2013.
Mahecha, M. D., Reichstein, M.,
Carvalhais, N., Lasslop, G., Lange, H., Seneviratne, S. I., Vargas, R.,
Ammann, C., Arain, M. A., Cescatti, A., Janssens, I. A., Migliavacca, M.,
Montagnani, L., and Richardson, A. D.: Global convergence in the temperature
sensitivity of respiration at ecosystem level, Science, 329, 838–840, 2010.
Minet, J., Laloy, E., Tychon, B., and François, L.: Bayesian inversions
of a dynamic vegetation model at four European grassland sites,
Biogeosciences, 12, 2809–2829, https://doi.org/10.5194/bg-12-2809-2015, 2015.
Mohren, G. M. J.: Simulation of forest growth, applied to
Douglas fir stands in the Netherlands, PhD thesis, Wageningen
Agriculture university, the Netherlands, 1987.
Monteith, J. L. and Unsworth, M. H.: Principles of Environmental
Physics, Edward Arnold, Sevenoaks, UK, 2nd Edn., 1990.
Moncrieff, J. B., Malhi, Y., and Leuning, R.: The propagation of errors in
long-term measurements of land-atmosphere fluxes of carbon and water, Glob.
Change Biol., 2, 231–240, 1996.
Oakley, J. E. and O'Hagan, A.: Uncertainty in prior elicitations: a
nonparametric approach, Biometrika, 94, 427–441, 2007.
Ogren, E.: Convexity of the photosynthetic light-response curve in relation
to intensity and direction of light during growth, Plant Physiol., 101,
1013–1019, 1993.
Raj, R., Hamm, N. A. S., van der Tol, C., and Stein, A.: Variance-based
sensitivity analysis of BIOME-BGC for gross and net primary production,
Ecol. Model., 292, 26–36, 2014.
Rabinowitch, E. I: Photosynthesis and Related Processes, Soil Sci., 72, 482,
1951.
Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier,
P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grünwald, T.,
Havránková, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T.,
Lohila, A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival,
J.-M., Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J.,
Seufert, G., Vaccari, F., Vesala, T., Yakir, D., and Valentini, R.: On the
separation of net ecosystem exchange into assimilation and ecosystem
respiration: review and improved algorithm, Glob. Change Biol., 11,
1424–1439, 2005.
Ricciuto, D. M., Davis, K. J., and Keller, K.: A Bayesian calibration of a
simple carbon cycle model: The role of observations in estimating and
reducing uncertainty, Global Biogeochem. Cy., 22, GB2030, https://doi.org/10.1029/2006GB002908, 2008.
Richardson, A. D. and Hollinger, D. Y.: Statistical modeling of ecosystem
respiration using eddy covariance data: Maximum likelihood parameter
estimation, and Monte Carlo simulation of model and parameter
uncertainty, applied to three simple models, Agr. Forest Meteorol., 131,
191–208, 2005.
Richardson, A. D., Braswell, B. H., Hollinger, D. Y., Burman, P., Davidson,
E. A., Evans, R. S., Flanagan, L. B., Munger, J. W., Savage, K., Urbanski,
S. P., and Wofsy, S. C.: Comparing simple respiration models for eddy flux
and dynamic chamber data, Agr. Forest Meteorol., 141, 219–234, 2006a.
Richardson, A. D., Hollinger, D. Y., Burba, G. G., Davis, K. J., Flanagan,
L. B., Katul, G. G., Munger, J. W., Ricciuto, D. M., Stoy, P. C., Suyker,
A. E., Verma, S. B., and Wofsy, S. C.: A multi-site analysis of random error
in tower-based measurements of carbon and energy fluxes, Agr. Forest
Meteorol., 136, 1–18, 2006b.
Richardson, A. D., Mahecha, M. D., Falge, E., Kattge, J., Moffat, A. M.,
Papale, D., Reichstein, M., Stauch, V. J., Braswell, B. H., Churkina, G.,
Kruijt, B., and Hollinger, D. Y.: Statistical properties of random CO2
flux measurement uncertainty inferred from model residuals, Agr. Forest
Meteorol., 148 , 38–50, 2008.
Ripullone, F., Grassi, G., Lauteri, M., and Borghetti, M.:
Photosynthesis–nitrogen relationships: interpretation of different patterns
between Pseudotsuga
menziesii and Populus x euroamericana in a mini-stand experiment, Tree Physiol., 23, 137–144, 2003.
Ruimy, A., Jarvis, P., Baldocchi, D., and Saugier, B.: CO2 fluxes over plant canopies and solar radiation: a review,
Adv. Ecol. Res., 26, 1–68, 1995.
Running, S. W., Nemani, R. R., Heinsch, F. A., Zhao, M., Reeves, M., and
Hashimoto, H.: A continuous satellite-derived measure of global terrestrial
primary production, BioScience, 54, 547–560, 2004.
Skillman, J. B.: Quantum yield variation across the three pathways of
photosynthesis: not yet out of the dark, J. Exp. Bot., 59, 1647–1661, 2008.
Steingrover, E. G. and Jans, W. W. P.: Physiology of forest-grown Douglas
fir trees: Effect of air pollution and drought, Tech. Rep. 94/3, IBN DLO,
Institute for Forestry and Nature Research, Wageningen, the Netherlands,
1994.
Stoy, P. C., Katul, G. G., Siqueira, M. B. S., Juang, J.-Y., Novick, K. A.,
Uebelherr, J. M., and Oren, R.: An evaluation of models for partitioning eddy
covariance-measured net ecosystem exchange into photosynthesis and
respiration, Agr. Forest Meteorol., 141, 2–18, 2006.
Su, Z., Timmermans, W. J., van der Tol, C., Dost, R., Bianchi, R., Gómez,
J. A., House, A., Hajnsek, I., Menenti, M., Magliulo, V., Esposito, M.,
Haarbrink, R., Bosveld, F., Rothe, R., Baltink, H. K., Vekerdy, Z., Sobrino,
J. A., Timmermans, J., van Laake, P., Salama, S., van der Kwast, H.,
Claassen, E., Stolk, A., Jia, L., Moors, E., Hartogensis, O., and Gillespie,
A.: EAGLE 2006 – Multi-purpose, multi-angle and multi-sensor in-situ and
airborne campaigns over grassland and forest, Hydrol. Earth Syst. Sci., 13,
833–845, https://doi.org/10.5194/hess-13-833-2009, 2009.
Sun, J., Guan, D., Wu, J., Jing, Y., Yuan, F., Wang, A., and Jin, C.: Day and
night respiration of three tree species in a temperate forest of northeastern
China, iForest – Biogeosciences and Forestry, 8, 25–32, 2015.
Teskey, R. O., Saveyn, A., Steppe, K., and McGuire, M. A.: Origin, fate and
significance of CO2 in tree stems, New Phytol., 177, 17–32, 2008.
Thornley, J. H. M.: Instantaneous canopy photosynthesis: analytical
expressions for sun and shade leaves based on exponential light decay down
the canopy and an acclimated non-rectangular hyperbola for leaf
photosynthesis, Ann. Bot., 89, 451–458, 2002.
Thornley, J. H. M. and Johnson, I. R.: Plant and crop modelling, in: A
Mathematical approach to Plant and Crop Physiology, The Blackburn Press,
Caldwell, New Jersey, 2000.
Thornton, P. E.: Description of a numerical simulation model for predicting
the dynamics of energy, water, carbon, and nitrogen in a terrestrial
ecosystem, PhD thesis, University of Montana, Missoula, 1998.
van der Tol, C., Verhoef, W., Timmermans, J., Verhoef, A., and Su, Z.: An
integrated model of soil-canopy spectral radiances, photosynthesis,
fluorescence, temperature and energy balance, Biogeosciences, 6, 3109–3129,
https://doi.org/10.5194/bg-6-3109-2009, 2009.
van Wijk, M. T., Dekker, S. C., Bouten, W., Bosveld, F. C., Kohsiek, W.,
Kramer, K., and Mohren, G. M. J.: Modeling daily gas exchange of a
Douglas-fir forest: comparison of three stomatal conductance models with
and without a soil water stress function, Tree Physiol., 20, 115–122,
2000.
van Wijk, M. T., Dekker, S. C., Bouten, W., Kohsiek, W., and Mohren, G.
M. J.:
Simulation of carbon and water budgets of a Douglas-fir forest, Forest
Ecol. Manag., 145, 229–241, 2001.
van Wijk, M. T., Bouten, W., and Verstraten, J. M.: Comparison of different
modelling strategies for simulating gas exchange of a Douglas-fir forest,
Ecol. Model., 158, 63–81, 2002.
Wang, H., Jia, G., Fu, C., Feng, J., Zhao, T., and Ma, Z.: Deriving maximal
light use efficiency from coordinated flux measurements and satellite data
for regional gross primary production modeling, Remote Sens. Environ., 114, 2248–2258, 2010.
Warren, C. R., Ethier, G. J., Livingston, N. J., Grant, N. J., Turpin, D. H.,
Harrison, D. L., and Black, T. A.: Transfer conductance in second growth
Douglas-fir (Pseudotsuga menziesii (Mirb.)Franco) canopies,
Plant Cell Environ., 26, 1215–1227, 2003.
Short summary
We present a Bayesian estimation of uncertainty in half-hourly GPP partitioned from flux tower measurements of NEE. The results show that it is possible to do this at any desirable time step. This, in turn, can be used to quantify the propagated uncertainty when validating process-based simulators. We further show the importance of using non-informative priors compared to informative priors of the parameters of flux partitioning model as they speed up calculation without loss of precision.
We present a Bayesian estimation of uncertainty in half-hourly GPP partitioned from flux tower...
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