Articles | Volume 19, issue 19
https://doi.org/10.5194/bg-19-4811-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-4811-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Oct 2022
Research article |
| 12 Oct 2022
| 12 Oct 2022
Modeling nitrous oxide emissions from agricultural soil incubation experiments using CoupModel
Department of Agroecology, iClimate, Aarhus University, Tjele, Denmark
Wenxin Zhang
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
Per-Erik Jansson
Department of Sustainable Development, Environmental Science and
Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
Søren O. Petersen
Department of Agroecology, iClimate, Aarhus University, Tjele, Denmark
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Manure application to agricultural land often results in large and variable N2O emissions. We propose a model with a parsimonious structure to investigate N transformations around such N2O hotspots. The model allows for new detailed insights into the interactions between transport and microbial activities regarding N2O emissions in heterogeneous soil environments. It highlights the importance of solute diffusion to N2O emissions from such hotspots which are often ignored by process-based models.
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Hongxing He, Per-Erik Jansson, Magnus Svensson, Jesper Björklund, Lasse Tarvainen, Leif Klemedtsson, and Åsa Kasimir
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To identify site specific differences in CO2-related processes in open peatlands, we calibrated a process oriented model to fit to detailed measurements of carbon fluxes and compared the resulting parameter ranges between the sites. For most processes a common configuration could be applied. Site specific differences were identified for soil respiration coefficients, plant radiation-use efficiencies and plant storage fractions for spring regrowth.
S. H. Wu and P.-E. Jansson
Hydrol. Earth Syst. Sci., 17, 735–749, https://doi.org/10.5194/hess-17-735-2013, https://doi.org/10.5194/hess-17-735-2013, 2013
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Heterotrophic respiration fluxes are a major flux between surfaces and the atmosphere, but Earth system models do not yet represent them correctly. Here we benchmarked Earth system models against observation-based products, and we identified the important mechanisms that need to be improved in the next-generation Earth system models.
Shuyue Li, Bonnie Waring, Jennifer Powers, and David Medvigy
Biogeosciences, 21, 455–471, https://doi.org/10.5194/bg-21-455-2024, https://doi.org/10.5194/bg-21-455-2024, 2024
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We used an ecosystem model to simulate primary production of a tropical forest subjected to 3 years of nutrient fertilization. Simulations parameterized such that relative allocation to fine roots increased with increasing soil phosphorus had leaf, wood, and fine root production consistent with observations. However, these simulations seemed to over-allocate to fine roots on multidecadal timescales, affecting aboveground biomass. Additional observations across timescales would benefit models.
Stephen Björn Wirth, Arne Poyda, Friedhelm Taube, Britta Tietjen, Christoph Müller, Kirsten Thonicke, Anja Linstädter, Kai Behn, Sibyll Schaphoff, Werner von Bloh, and Susanne Rolinski
Biogeosciences, 21, 381–410, https://doi.org/10.5194/bg-21-381-2024, https://doi.org/10.5194/bg-21-381-2024, 2024
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In dynamic global vegetation models (DGVMs), the role of functional diversity in forage supply and soil organic carbon storage of grasslands is not explicitly taken into account. We introduced functional diversity into the Lund Potsdam Jena managed Land (LPJmL) DGVM using CSR theory. The new model reproduced well-known trade-offs between plant traits and can be used to quantify the role of functional diversity in climate change mitigation using different functional diversity scenarios.
Huajie Zhu, Xiuli Xing, Mousong Wu, Weimin Ju, and Fei Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2023-3032, https://doi.org/10.5194/egusphere-2023-3032, 2024
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In this study, ecosystem COS fluxes data were employed to optimize GPP estimation across various ecosystems with the Boreal Ecosystem Productivity Simulator (BEPS), which was further developed for simulating the leaf COS uptake under its state-of-the-art ‘two-leaf’ framework. our results showcased the efficacy of COS in enhancing model prediction and reducing prediction uncertainty of GPP, and deepened insights into the sensitivity, identifiability, and interactions of parameters related to COS.
Joe R. McNorton and Francesca Di Giuseppe
Biogeosciences, 21, 279–300, https://doi.org/10.5194/bg-21-279-2024, https://doi.org/10.5194/bg-21-279-2024, 2024
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Wildfires have wide-ranging consequences for local communities, air quality and ecosystems. Vegetation amount and moisture state are key components to forecast wildfires. We developed a combined model and satellite framework to characterise vegetation, including the type of fuel, whether it is alive or dead, and its moisture content. The daily data is at high resolution globally (~9 km). Our characteristics correlate with active fire data and can inform fire danger and spread modelling efforts.
Brooke A. Eastman, William R. Wieder, Melannie D. Hartman, Edward R. Brzostek, and William T. Peterjohn
Biogeosciences, 21, 201–221, https://doi.org/10.5194/bg-21-201-2024, https://doi.org/10.5194/bg-21-201-2024, 2024
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We compared soil model performance to data from a long-term nitrogen addition experiment in a forested ecosystem. We found that in order for soil carbon models to accurately predict future forest carbon sequestration, two key processes must respond dynamically to nitrogen availability: (1) plant allocation of carbon to wood versus roots and (2) rates of soil organic matter decomposition. Long-term experiments can help improve our predictions of the land carbon sink and its climate impact.
Jan De Pue, Sebastian Wieneke, Ana Bastos, José Miguel Barrios, Liyang Liu, Philippe Ciais, Alirio Arboleda, Rafiq Hamdi, Maral Maleki, Fabienne Maignan, Françoise Gellens-Meulenberghs, Ivan Janssens, and Manuela Balzarolo
Biogeosciences, 20, 4795–4818, https://doi.org/10.5194/bg-20-4795-2023, https://doi.org/10.5194/bg-20-4795-2023, 2023
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The gross primary production (GPP) of the terrestrial biosphere is a key source of variability in the global carbon cycle. To estimate this flux, models can rely on remote sensing data (RS-driven), meteorological data (meteo-driven) or a combination of both (hybrid). An intercomparison of 11 models demonstrated that RS-driven models lack the sensitivity to short-term anomalies. Conversely, the simulation of soil moisture dynamics and stress response remains a challenge in meteo-driven models.
Sian Kou-Giesbrecht, Vivek Arora, Christian Seiler, and Libo Wang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2711, https://doi.org/10.5194/egusphere-2023-2711, 2023
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Terrestrial biosphere models can either prescribe the geographical distribution of biomes or simulate them dynamically, capturing climate change-driven biome shifts. We isolate and examine the differences between these different land cover implementations. We find that the simulated terrestrial carbon sink at the end of the 21st century is twice as large in simulations with dynamic land cover than in simulations with prescribed land cover due to important range shifts in the Arctic and Amazon.
Chad A. Burton, Luigi J. Renzullo, Sami W. Rifai, and Albert I. J. M. Van Dijk
Biogeosciences, 20, 4109–4134, https://doi.org/10.5194/bg-20-4109-2023, https://doi.org/10.5194/bg-20-4109-2023, 2023
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Australia's land-based ecosystems play a critical role in controlling the variability in the global land carbon sink. However, uncertainties in the methods used for quantifying carbon fluxes limit our understanding. We develop high-resolution estimates of Australia's land carbon fluxes using machine learning methods and find that Australia is, on average, a stronger carbon sink than previously thought and that the seasonal dynamics of the fluxes differ from those described by other methods.
Yuan Yan, Anne Klosterhalfen, Fernando Moyano, Matthias Cuntz, Andrew C. Manning, and Alexander Knohl
Biogeosciences, 20, 4087–4107, https://doi.org/10.5194/bg-20-4087-2023, https://doi.org/10.5194/bg-20-4087-2023, 2023
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A better understanding of O2 fluxes, their exchange ratios with CO2 and their interrelations with environmental conditions would provide further insights into biogeochemical ecosystem processes. We, therefore, used the multilayer canopy model CANVEG to simulate and analyze the flux exchange for our forest study site for 2012–2016. Based on these simulations, we further successfully tested the application of various micrometeorological methods and the prospects of real O2 flux measurements.
Jie Zhang, Elisabeth Larsen Kolstad, Wenxin Zhang, Iris Vogeler, and Søren O. Petersen
Biogeosciences, 20, 3895–3917, https://doi.org/10.5194/bg-20-3895-2023, https://doi.org/10.5194/bg-20-3895-2023, 2023
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Manure application to agricultural land often results in large and variable N2O emissions. We propose a model with a parsimonious structure to investigate N transformations around such N2O hotspots. The model allows for new detailed insights into the interactions between transport and microbial activities regarding N2O emissions in heterogeneous soil environments. It highlights the importance of solute diffusion to N2O emissions from such hotspots which are often ignored by process-based models.
Jukka Alm, Antti Wall, Jukka-Pekka Myllykangas, Paavo Ojanen, Juha Heikkinen, Helena M. Henttonen, Raija Laiho, Kari Minkkinen, Tarja Tuomainen, and Juha Mikola
Biogeosciences, 20, 3827–3855, https://doi.org/10.5194/bg-20-3827-2023, https://doi.org/10.5194/bg-20-3827-2023, 2023
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In Finland peatlands cover one-third of land area. For half of those, with 4.3 Mha being drained for forestry, Finland reports sinks and sources of greenhouse gases in forest lands on organic soils following its UNFCCC commitment. We describe a new method for compiling soil CO2 balance that follows changes in tree volume, tree harvests and temperature. An increasing trend of emissions from 1.4 to 7.9 Mt CO2 was calculated for drained peatland forest soils in Finland for 1990–2021.
Elizabeth S. Duan, Luciana Chavez Rodriguez, Nicole Hemming-Schroeder, Baptiste Wijas, Habacuc Flores-Moreno, Alexander W. Cheesman, Lucas A. Cernusak, Michael J. Liddell, Paul Eggleton, Amy E. Zanne, and Steven D. Allison
EGUsphere, https://doi.org/10.5194/egusphere-2023-1952, https://doi.org/10.5194/egusphere-2023-1952, 2023
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Understanding the link between climate and carbon fluxes is crucial in predicting how climate change will impact carbon sinks. We estimated CO2 fluxes from deadwood in tropical Australia using wood microclimate variables (wood moisture content and temperature). Our model predicted that the majority of deadwood carbon is released as CO2, except when termite activity is detected. Future models should also incorporate wood traits, like species and chemical composition, to better predict fluxes.
Siqi Li, Bo Zhu, Xunhua Zheng, Pengcheng Hu, Shenghui Han, Jihui Fan, Tao Wang, Rui Wang, Kai Wang, Zhisheng Yao, Chunyan Liu, Wei Zhang, and Yong Li
Biogeosciences, 20, 3555–3572, https://doi.org/10.5194/bg-20-3555-2023, https://doi.org/10.5194/bg-20-3555-2023, 2023
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Physical soil erosion and particulate carbon, nitrogen and phosphorus loss modules were incorporated into the process-oriented hydro-biogeochemical model CNMM-DNDC to realize the accurate simulation of water-induced erosion and subsequent particulate nutrient losses at high spatiotemporal resolution.
Ivan Cornut, Nicolas Delpierre, Jean-Paul Laclau, Joannès Guillemot, Yann Nouvellon, Otavio Campoe, Jose Luiz Stape, Vitoria Fernanda Santos, and Guerric le Maire
Biogeosciences, 20, 3093–3117, https://doi.org/10.5194/bg-20-3093-2023, https://doi.org/10.5194/bg-20-3093-2023, 2023
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Potassium is an essential element for living organisms. Trees are dependent upon this element for certain functions that allow them to build their trunks using carbon dioxide. Using data from experiments in eucalypt plantations in Brazil and a simplified computer model of the plantations, we were able to investigate the effect that a lack of potassium can have on the production of wood. Understanding nutrient cycles is useful to understand the response of forests to environmental change.
Ivan Cornut, Guerric le Maire, Jean-Paul Laclau, Joannès Guillemot, Yann Nouvellon, and Nicolas Delpierre
Biogeosciences, 20, 3119–3135, https://doi.org/10.5194/bg-20-3119-2023, https://doi.org/10.5194/bg-20-3119-2023, 2023
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After simulating the effects of low levels of potassium on the canopy of trees and the uptake of carbon dioxide from the atmosphere by leaves in Part 1, here we tried to simulate the way the trees use the carbon they have acquired and the interaction with the potassium cycle in the tree. We show that the effect of low potassium on the efficiency of the trees in acquiring carbon is enough to explain why they produce less wood when they are in soils with low levels of potassium.
Xiaojuan Yang, Peter Thornton, Daniel Ricciuto, Yilong Wang, and Forrest Hoffman
Biogeosciences, 20, 2813–2836, https://doi.org/10.5194/bg-20-2813-2023, https://doi.org/10.5194/bg-20-2813-2023, 2023
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We evaluated the performance of a land surface model (ELMv1-CNP) that includes both nitrogen (N) and phosphorus (P) limitation on carbon cycle processes. We show that ELMv1-CNP produces realistic estimates of present-day carbon pools and fluxes. We show that global C sources and sinks are significantly affected by P limitation. Our study suggests that introduction of P limitation in land surface models is likely to have substantial consequences for projections of future carbon uptake.
Kevin R. Wilcox, Scott L. Collins, Alan K. Knapp, William Pockman, Zheng Shi, Melinda D. Smith, and Yiqi Luo
Biogeosciences, 20, 2707–2725, https://doi.org/10.5194/bg-20-2707-2023, https://doi.org/10.5194/bg-20-2707-2023, 2023
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The capacity for carbon storage (C capacity) is an attribute that determines how ecosystems store carbon in the future. Here, we employ novel data–model integration techniques to identify the carbon capacity of six grassland sites spanning the US Great Plains. Hot and dry sites had low C capacity due to less plant growth and high turnover of soil C, so they may be a C source in the future. Alternately, cooler and wetter ecosystems had high C capacity, so these systems may be a future C sink.
Ara Cho, Linda M. J. Kooijmans, Kukka-Maaria Kohonen, Richard Wehr, and Maarten C. Krol
Biogeosciences, 20, 2573–2594, https://doi.org/10.5194/bg-20-2573-2023, https://doi.org/10.5194/bg-20-2573-2023, 2023
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Carbonyl sulfide (COS) is a useful constraint for estimating photosynthesis. To simulate COS leaf flux better in the SiB4 model, we propose a novel temperature function for enzyme carbonic anhydrase (CA) activity and optimize conductances using observations. The optimal activity of CA occurs below 40 °C, and Ball–Woodrow–Berry parameters are slightly changed. These reduce/increase uptakes in the tropics/higher latitudes and contribute to resolving discrepancies in the COS global budget.
Yunyao Ma, Bettina Weber, Alexandra Kratz, José Raggio, Claudia Colesie, Maik Veste, Maaike Y. Bader, and Philipp Porada
Biogeosciences, 20, 2553–2572, https://doi.org/10.5194/bg-20-2553-2023, https://doi.org/10.5194/bg-20-2553-2023, 2023
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We found that the modelled annual carbon balance of biocrusts is strongly affected by both the environment (mostly air temperature and CO2 concentration) and physiology, such as temperature response of respiration. However, the relative impacts of these drivers vary across regions with different climates. Uncertainty in driving factors may lead to unrealistic carbon balance estimates, particularly in temperate climates, and may be explained by seasonal variation of physiology due to acclimation.
Alexander J. Norton, A. Anthony Bloom, Nicholas C. Parazoo, Paul A. Levine, Shuang Ma, Renato K. Braghiere, and T. Luke Smallman
Biogeosciences, 20, 2455–2484, https://doi.org/10.5194/bg-20-2455-2023, https://doi.org/10.5194/bg-20-2455-2023, 2023
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This study explores how the representation of leaf phenology affects our ability to predict changes to the carbon balance of land ecosystems. We calibrate a new leaf phenology model against a diverse range of observations at six forest sites, showing that it improves the predictive capability of the processes underlying the ecosystem carbon balance. We then show how changes in temperature and rainfall affect the ecosystem carbon balance with this new model.
Libo Wang, Vivek K. Arora, Paul Bartlett, Ed Chan, and Salvatore R. Curasi
Biogeosciences, 20, 2265–2282, https://doi.org/10.5194/bg-20-2265-2023, https://doi.org/10.5194/bg-20-2265-2023, 2023
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Plant functional types (PFTs) are groups of plant species used to represent vegetation distribution in land surface models. There are large uncertainties associated with existing methods for mapping land cover datasets to PFTs. This study demonstrates how fine-resolution tree cover fraction and land cover datasets can be used to inform the PFT mapping process and reduce the uncertainties. The proposed largely objective method makes it easier to implement new land cover products in models.
Jennifer A. Holm, David M. Medvigy, Benjamin Smith, Jeffrey S. Dukes, Claus Beier, Mikhail Mishurov, Xiangtao Xu, Jeremy W. Lichstein, Craig D. Allen, Klaus S. Larsen, Yiqi Luo, Cari Ficken, William T. Pockman, William R. L. Anderegg, and Anja Rammig
Biogeosciences, 20, 2117–2142, https://doi.org/10.5194/bg-20-2117-2023, https://doi.org/10.5194/bg-20-2117-2023, 2023
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Unprecedented climate extremes (UCEs) are expected to have dramatic impacts on ecosystems. We present a road map of how dynamic vegetation models can explore extreme drought and climate change and assess ecological processes to measure and reduce model uncertainties. The models predict strong nonlinear responses to UCEs. Due to different model representations, the models differ in magnitude and trajectory of forest loss. Therefore, we explore specific plant responses that reflect knowledge gaps.
Veronika Kronnäs, Klas Lucander, Giuliana Zanchi, Nadja Stadlinger, Salim Belyazid, and Cecilia Akselsson
Biogeosciences, 20, 1879–1899, https://doi.org/10.5194/bg-20-1879-2023, https://doi.org/10.5194/bg-20-1879-2023, 2023
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In a future climate, extreme droughts might become more common. Climate change and droughts can have negative effects on soil weathering and plant health.
In this study, climate change effects on weathering were studied on sites in Sweden using the model ForSAFE, a climate change scenario and an extreme drought scenario. The modelling shows that weathering is higher during summer and increases with global warming but that weathering during drought summers can become as low as winter weathering.
Agustín Sarquis and Carlos A. Sierra
Biogeosciences, 20, 1759–1771, https://doi.org/10.5194/bg-20-1759-2023, https://doi.org/10.5194/bg-20-1759-2023, 2023
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Although plant litter is chemically and physically heterogenous and undergoes multiple transformations, models that represent litter dynamics often ignore this complexity. We used a multi-model inference framework to include information content in litter decomposition datasets and studied the time it takes for litter to decompose as measured by the transit time. In arid lands, the median transit time of litter is about 3 years and has a negative correlation with mean annual temperature.
Qi Guan, Jing Tang, Lian Feng, Stefan Olin, and Guy Schurgers
Biogeosciences, 20, 1635–1648, https://doi.org/10.5194/bg-20-1635-2023, https://doi.org/10.5194/bg-20-1635-2023, 2023
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Understanding terrestrial sources of nitrogen is vital to examine lake eutrophication changes. Combining process-based ecosystem modeling and satellite observations, we found that land-leached nitrogen in the Yangtze Plain significantly increased from 1979 to 2018, and terrestrial nutrient sources were positively correlated with eutrophication trends observed in most lakes, demonstrating the necessity of sustainable nitrogen management to control eutrophication.
Vivek K. Arora, Christian Seiler, Libo Wang, and Sian Kou-Giesbrecht
Biogeosciences, 20, 1313–1355, https://doi.org/10.5194/bg-20-1313-2023, https://doi.org/10.5194/bg-20-1313-2023, 2023
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The behaviour of natural systems is now very often represented through mathematical models. These models represent our understanding of how nature works. Of course, nature does not care about our understanding. Since our understanding is not perfect, evaluating models is challenging, and there are uncertainties. This paper illustrates this uncertainty for land models and argues that evaluating models in light of the uncertainty in various components provides useful information.
Benjamin S. Felzer
Biogeosciences, 20, 573–587, https://doi.org/10.5194/bg-20-573-2023, https://doi.org/10.5194/bg-20-573-2023, 2023
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The future of the terrestrial carbon sink depends upon the legacy of past land use, which determines the stand age of the forest and nutrient levels in the soil, both of which affect vegetation growth. This study uses a modeling approach to determine the effects of land-use legacy in the conterminous US from 1750 to 2099. Not accounting for land legacy results in a low carbon sink and high biomass, while water variables are not as highly affected.
Bailu Zhao and Qianlai Zhuang
Biogeosciences, 20, 251–270, https://doi.org/10.5194/bg-20-251-2023, https://doi.org/10.5194/bg-20-251-2023, 2023
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In this study, we use a process-based model to simulate the northern peatland's C dynamics in response to future climate change during 1990–2300. Northern peatlands are projected to be a C source under all climate scenarios except for the mildest one before 2100 and C sources under all scenarios afterwards.
We find northern peatlands are a C sink until pan-Arctic annual temperature reaches −2.09 to −2.89 °C. This study emphasizes the vulnerability of northern peatlands to climate change.
Lin Yu, Silvia Caldararu, Bernhard Ahrens, Thomas Wutzler, Marion Schrumpf, Julian Helfenstein, Chiara Pistocchi, and Sönke Zaehle
Biogeosciences, 20, 57–73, https://doi.org/10.5194/bg-20-57-2023, https://doi.org/10.5194/bg-20-57-2023, 2023
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In this study, we addressed a key weakness in current ecosystem models regarding the phosphorus exchange in the soil and developed a new scheme to describe this process. We showed that the new scheme improved the model performance for plant productivity, soil organic carbon, and soil phosphorus content at five beech forest sites in Germany. We claim that this new model could be used as a better tool to study ecosystems under future climate change, particularly phosphorus-limited systems.
Bimal K. Bhattacharya, Kaniska Mallick, Devansh Desai, Ganapati S. Bhat, Ross Morrison, Jamie R. Clevery, William Woodgate, Jason Beringer, Kerry Cawse-Nicholson, Siyan Ma, Joseph Verfaillie, and Dennis Baldocchi
Biogeosciences, 19, 5521–5551, https://doi.org/10.5194/bg-19-5521-2022, https://doi.org/10.5194/bg-19-5521-2022, 2022
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Evaporation retrieval in heterogeneous ecosystems is challenging due to empirical estimation of ground heat flux and complex parameterizations of conductances. We developed a parameter-sparse coupled ground heat flux-evaporation model and tested it across different limits of water stress and vegetation fraction in the Northern/Southern Hemisphere. The model performed particularly well in the savannas and showed good potential for evaporative stress monitoring from thermal infrared satellites.
Jan De Pue, José Miguel Barrios, Liyang Liu, Philippe Ciais, Alirio Arboleda, Rafiq Hamdi, Manuela Balzarolo, Fabienne Maignan, and Françoise Gellens-Meulenberghs
Biogeosciences, 19, 4361–4386, https://doi.org/10.5194/bg-19-4361-2022, https://doi.org/10.5194/bg-19-4361-2022, 2022
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The functioning of ecosystems involves numerous biophysical processes which interact with each other. Land surface models (LSMs) are used to describe these processes and form an essential component of climate models. In this paper, we evaluate the performance of three LSMs and their interactions with soil moisture and vegetation. Though we found room for improvement in the simulation of soil moisture and drought stress, the main cause of errors was related to the simulated growth of vegetation.
Jarmo Mäkelä, Laura Arppe, Hannu Fritze, Jussi Heinonsalo, Kristiina Karhu, Jari Liski, Markku Oinonen, Petra Straková, and Toni Viskari
Biogeosciences, 19, 4305–4313, https://doi.org/10.5194/bg-19-4305-2022, https://doi.org/10.5194/bg-19-4305-2022, 2022
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Soils account for the largest share of carbon found in terrestrial ecosystems, and accurate depiction of soil carbon decomposition is essential in understanding how permanent these carbon storages are. We present a straightforward way to include carbon isotope concentrations into soil decomposition and carbon storages for the Yasso model, which enables the model to use 13C as a natural tracer to track changes in the underlying soil organic matter decomposition.
Vasileios Myrgiotis, Thomas Luke Smallman, and Mathew Williams
Biogeosciences, 19, 4147–4170, https://doi.org/10.5194/bg-19-4147-2022, https://doi.org/10.5194/bg-19-4147-2022, 2022
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This study shows that livestock grazing and grass cutting can determine whether a grassland is adding (source) or removing (sink) carbon (C) to/from the atmosphere. The annual C balance of 1855 managed grassland fields in Great Britain was quantified for 2017–2018 using process modelling and earth observation data. The examined fields were, on average, small C sinks, but the summer drought of 2018 led to a 9-fold increase in the number of fields that became C sources in 2018 compared to 2017.
J. Robert Logan, Kathe E. Todd-Brown, Kathryn M. Jacobson, Peter J. Jacobson, Roland Vogt, and Sarah E. Evans
Biogeosciences, 19, 4129–4146, https://doi.org/10.5194/bg-19-4129-2022, https://doi.org/10.5194/bg-19-4129-2022, 2022
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Understanding how plants decompose is important for understanding where the atmospheric CO2 they absorb ends up after they die. In forests, decomposition is controlled by rain but not in deserts. We performed a 2.5-year study in one of the driest places on earth (the Namib desert in southern Africa) and found that fog and dew, not rainfall, closely controlled how quickly plants decompose. We also created a model to help predict decomposition in drylands with lots of fog and/or dew.
Carlos A. Sierra, Verónika Ceballos-Núñez, Henrik Hartmann, David Herrera-Ramírez, and Holger Metzler
Biogeosciences, 19, 3727–3738, https://doi.org/10.5194/bg-19-3727-2022, https://doi.org/10.5194/bg-19-3727-2022, 2022
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Empirical work that estimates the age of respired CO2 from vegetation tissue shows that it may take from years to decades to respire previously produced photosynthates. However, many ecosystem models represent respiration processes in a form that cannot reproduce these observations. In this contribution, we attempt to provide compelling evidence, based on recent research, with the aim to promote a change in the predominant paradigm implemented in ecosystem models.
César Dionisio Jiménez-Rodríguez, Mauro Sulis, and Stanislaus Schymanski
Biogeosciences, 19, 3395–3423, https://doi.org/10.5194/bg-19-3395-2022, https://doi.org/10.5194/bg-19-3395-2022, 2022
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Vegetation relies on soil water reservoirs during dry periods. However, when this source is depleted, the plants may access water stored deeper in the rocks. This rock moisture contribution is usually omitted in large-scale models, which affects modeled plant water use during dry periods. Our study illustrates that including this additional source of water in the Community Land Model improves the model's ability to reproduce observed plant water use at seasonally dry sites.
Marco Carozzi, Raphaël Martin, Katja Klumpp, and Raia Silvia Massad
Biogeosciences, 19, 3021–3050, https://doi.org/10.5194/bg-19-3021-2022, https://doi.org/10.5194/bg-19-3021-2022, 2022
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Crop and grassland production indicates a strong reduction due to the shortening of the length of the growing cycle associated with rising temperatures. Greenhouse gas emissions will increase exponentially over the century, often exceeding the CO2 accumulation of agro-ecosystems. Water demand will double in the next few decades, whereas the benefits in terms of yield will not fill the gap of C losses due to climate perturbation. Climate change will have a regionally distributed effect in the EU.
Anthony Mucia, Bertrand Bonan, Clément Albergel, Yongjun Zheng, and Jean-Christophe Calvet
Biogeosciences, 19, 2557–2581, https://doi.org/10.5194/bg-19-2557-2022, https://doi.org/10.5194/bg-19-2557-2022, 2022
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For the first time, microwave vegetation optical depth data are assimilated in a land surface model in order to analyze leaf area index and root zone soil moisture. The advantage of microwave products is the higher observation frequency. A large variety of independent datasets are used to verify the added value of the assimilation. It is shown that the assimilation is able to improve the representation of soil moisture, vegetation conditions, and terrestrial water and carbon fluxes.
Cited articles
Abdalla, M., Jones, M., Yeluripati, J., Smith, P., Burke, J., and Williams,
M.: Testing DayCent and DNDC model simulations of N2O fluxes and
assessing the impacts of climate change on the gas flux and biomass
production from a humid pasture, Atmos. Environ., 44, 2961–2970,
https://doi.org/10.1016/j.atmosenv.2010.05.018, 2010.
Angers, D. A. and Recous, S.: Decomposition of wheat straw and rye residues
as affected by particle size, Plant Soil, 189, 197–203,
https://doi.org/10.1023/A:1004207219678, 1997.
Aulakh, M. S., Walters, D. T., Doran, J. W., Francis, D. D., and Mosier, A.
R.: Crop residue type and placement effects on denitrification and
mineralization, Soil Sci. Soc. Am. J., 55, 1020–1025,
https://doi.org/10.2136/SSSAJ1991.03615995005500040022X, 1991.
Beven, K. and Binley, A.: The future of distributed models: model
calibration and uncertainty prediction, Hydrol. Process., 6, 279–298,
https://doi.org/10.1002/HYP.3360060305, 1992.
Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty
estimation in mechanistic modelling of complex environmental systems using
the GLUE methodology, J. Hydrol., 249, 11–29,
https://doi.org/10.1016/S0022-1694(01)00421-8, 2001.
Brilli, L., Bechini, L., Bindi, M., Carozzi, M., Cavalli, D., Conant, R.,
Dorich, C. D., Doro, L., Ehrhardt, F., Farina, R., Ferrise, R., Fitton, N.,
Francaviglia, R., Grace, P., Iocola, I., Klumpp, K., Léonard, J.,
Martin, R., Massad, R. S., Recous, S., Seddaiu, G., Sharp, J., Smith, P.,
Smith, W. N., Soussana, J.-F., and Bellocchi, G.: Review and analysis of
strengths and weaknesses of agro-ecosystem models for simulating C and N
fluxes, Sci. Total Environ., 598, 445–470,
https://doi.org/10.1016/j.scitotenv.2017.03.208, 2017.
Butterbach-Bahl, K., Baggs, E. M., Dannenmann, M., Kiese, R., and
Zechmeister-Boltenstern, S.: Nitrous oxide emissions from soils: how well do
we understand the processes and their controls?, Philos. T. R. Soc. B, 368, 20130122, https://doi.org/10.1098/rstb.2013.0122, 2013.
Chen, D., Li, Y., Grace, P., and Mosier, A. R.: N2O emissions from
agricultural lands: a synthesis of simulation approaches, Plant Soil, 309,
169–189, https://doi.org/10.1007/s11104-008-9634-0, 2008.
Davidson, E. A. and Kanter, D.: Inventories and scenarios of nitrous oxide
emissions, Environ. Res. Lett., 9, 105012,
https://doi.org/10.1088/1748-9326/9/10/105012, 2014.
Davidson, E. A., Samanta, S., Caramori, S. S., and Savage, K.: The Dual
Arrhenius and Michaelis – Menten kinetics model for decomposition of soil
organic matter at hourly to seasonal time scales, Glob. Change Biol., 18,
371–384, https://doi.org/10.1111/j.1365-2486.2011.02546.x, 2012.
Dungait, J. A. J., Hopkins, D. W., Gregory, A. S., and Whitmore, A. P.: Soil
organic matter turnover is governed by accessibility not recalcitrance,
Glob. Change Biol., 18, 1781–1796, https://doi.org/10.1111/j.1365-2486.2012.02665.x,
2012.
Eusterhues, K., Rumpel, C., Kleber, M., and Kögel-Knabner, I.:
Stabilisation of soil organic matter by interactions with minerals as
revealed by mineral dissolution and oxidative degradation, Org. Geochem.,
34, 1591–1600, https://doi.org/10.1016/j.orggeochem.2003.08.007, 2003.
Fang, Q. X., Ma, L., Halvorson, A. D., Malone, R. W., Ahuja, L. R., Del
Grosso, S. J., and Hatfield, J. L.: Evaluating four nitrous oxide emission
algorithms in response to N rate on an irrigated corn field, Environ. Model.
Softw., 72, 56–70, https://doi.org/10.1016/j.envsoft.2015.06.005, 2015.
Firestone, M. K. and Davidson, E. A.: Microbiological basis of NO and
N2O production and consumption in soil, Life Sci. R., 47, 7–21, 1989.
Flury, M. and Gimmi, T. F.: 6.2 Solute Diffusion, in: Methods of Soil
Analysis: Part 4 Physical Methods, edited by: Dane, J. H. and Topp, C. G.,
1323–1351, Soil Science Society of America, Inc., Madison, US, 1323–1351, https://doi.org/10.2136/sssabookser5.4.c55, 2018.
Fuchs, K., Merbold, L., Buchmann, N., Bretscher, D., Brilli, L., Fitton, N.,
Topp, C. F. E., Klumpp, K., Lieffering, M., Martin, R., Newton, P. C. D.,
Rees, R. M., Rolinski, S., Smith, P., and Snow, V.: Multimodel evaluation of
nitrous oxide emissions from an intensively managed grassland, J. Geophys.
Res.-Biogeo, 125, 1–21, https://doi.org/10.1029/2019JG005261, 2020.
Gaillard, R. K., Jones, C. D., Ingraham, P., Collier, S., Izaurralde, R. C.,
Jokela, W., Osterholz, W., Salas, W., Vadas, P., and Ruark, M. D.:
Underestimation of N2O emissions in a comparison of the DayCent, DNDC,
and EPIC models, Ecol. Appl., 28, 694–708, https://doi.org/10.1002/eap.1674, 2018.
Gijsman, A. J., Hoogenboom, G., Parton, W. J., and Kerridge, P. C.: Modifying
DSSAT crop models for low-input agricultural systems using a soil organic
matter–residue module from CENTURY, Agron. J., 94, 462–474,
https://doi.org/10.2134/agronj2002.4620, 2002.
Goreau, T. J., Kaplan, W. A., Wofsy, S. C., McElroy, M. B., Valois, F. W.,
and Watson, S. W.: Production of NO
Grandy, A. S. and Robertson, G. P.: Initial cultivation of a
temperate-region soil immediately accelerates aggregate turnover and
CO2 and N2O fluxes, Glob. Chang. Biol., 12, 1507–1520,
https://doi.org/10.1111/j.1365-2486.2006.01166.x, 2006.
Grosz, B., Well, R., Dechow, R., Köster, J. R., Khalil, M. I., Merl, S.,
Rode, A., Ziehmer, B., Matson, A., and He, H.: Evaluation of denitrification
and decomposition from three biogeochemical models using laboratory
measurements of N2, N2O and CO2, Biogeosciences, 18,
5681–5697, https://doi.org/10.5194/bg-18-5681-2021, 2021.
He, H., Jansson, P. E., Svensson, M., Meyer, A., Klemedtsson, L., and
Kasimir, Å.: Factors controlling Nitrous Oxide emission from a spruce
forest ecosystem on drained organic soil, derived using the CoupModel, Ecol.
Modell., 321, 46–63, https://doi.org/10.1016/j.ecolmodel.2015.10.030, 2016.
Jansson, P.-E.: CoupModel: model use, calibration, and validation, Trans.
ASABE, 55, 1335–1344, https://doi.org/10.13031/2013.42245, 2012.
Jansson, P.-E. and Karlberg, L.: Coupled heat and mass transfer model for
soil-plant-atmosphere systems,
https://www.coupmodel.com/documentation (last access: 10 February 2022), 2010.
Jansson, P.-E. and Moon, D. S.: A coupled model of water, heat and mass
transfer using object orientation to improve flexibility and functionality,
Environ. Model. Softw., 16, 37–46, https://doi.org/10.1016/S1364-8152(00)00062-1, 2001.
Keating, B., Carberry, P., Hammer, G., Probert, M., Robertson, M.,
Holzworth, D., Huth, N., Hargreaves, J. N., Meinke, H., Hochman, Z.,
McLean, G., Verburg, K., Snow, V., Dimes, J., Silburn, M., Wang, E.,
Brown, S., Bristow, K., Asseng, S., Chapman, S., McCown, R., Freebairn,
D., and Smith, C.: An overview of APSIM, a model designed for farming
systems simulation, Eur. J. Agron., 18, 267–288,
https://doi.org/10.1016/S1161-0301(02)00108-9, 2003.
Khalil, K., Renault, P., Guerin, N., and Mary, B.: Modelling denitrification
including the dynamics of denitrifiers and their progressive ability to
reduce nitrous oxide: comparison with batch experiments, Eur. J. Soil Sci.,
56, 491–504, https://doi.org/10.1111/j.1365-2389.2004.00681.x, 2005.
Kravchenko, A. N., Toosi, E. R., Guber, A. K., Ostrom, N. E., Yu, J., Azeem,
K., Rivers, M. L., and Robertson, G. P.: Hotspots of soil N2O emission
enhanced through water absorption by plant residue, Nat. Geosci., 10,
496–500, https://doi.org/10.1038/ngeo2963, 2017.
Kravchenko, A. N., Fry, J. E., and Guber, A. K.: Water absorption capacity of
soil-incorporated plant leaves can affect N2O emissions and soil
inorganic N concentrations, Soil Biol. Biochem., 121, 113–119,
https://doi.org/10.1016/J.SOILBIO.2018.03.013, 2018.
Kuzyakov, Y.: Priming effects: interactions between living and dead organic
matter, Soil Biol. Biochem., 42, 1363–1371,
https://doi.org/10.1016/j.soilbio.2010.04.003, 2010.
Kuzyakov, Y. and Blagodatskaya, E.: Microbial hotspots and hot moments in
soil: concept & review, Soil Biol. Biochem., 83, 184–199,
https://doi.org/10.1016/j.soilbio.2015.01.025, 2015.
Lam, P. S., Sokhansanj, S., Bi, X., Lim, C. J., Naimi, L. J., Hoque, M.,
Mani, S., Womac, A. R., Narayan, S., and Ye, X. P.: Bulk density of wet and
dry wheat straw and switchgrass particles, Appl. Eng. Agr., 24, 351–358,
https://doi.org/10.13031/2013.24490, 2008.
Lashermes, G., Recous, S., Alavoine, G., Janz, B., Butterbach-Bahl, K.,
Ernfors, M., and Laville, P.: N2O emissions from decomposing crop
residues are strongly linked to their initial soluble fraction and early C
mineralization, Sci. Total Environ., 806, 150883,
https://doi.org/10.1016/j.scitotenv.2021.150883, 2022.
Li, C., Frolking, S., and Frolking, T. A.: A model of nitrous oxide evolution
from soil driven by rainfall events: 1. model structure and sensitivity, J.
Geophys. Res.-Atmos., 97, 9759–9776, https://doi.org/10.1029/92JD00509, 1992.
Li, C., Aber, J., Stange, F., Butterbach-Bahl, K., and Papen, H.: A
process-oriented model of N2O and NO emissions from forest soils: 1.
model development, J. Geophys. Res.-Atmos., 105, 4369–4384,
https://doi.org/10.1029/1999JD900949, 2000.
Markfoged, R., Nielsen, L. P., Nyord, T., Ottosen, L. D. M., and Revsbech, N.
P.: Transient N2O accumulation and emission caused by O2 depletion
in soil after liquid manure injection, Eur. J. Soil Sci., 62, 541–550,
https://doi.org/10.1111/j.1365-2389.2010.01345.x, 2011.
Morris, M. D.: Factorial sampling plans for preliminary computational
experiments, Technometrics, 33, 161–174,
https://doi.org/10.1080/00401706.1991.10484804, 1991.
Nielsen, T. H., Nielsen, L. P., and Revsbech, N. P.: Nitrification and
coupled nitrification-denitrification associated with a soil-manure
interface, Soil Sci. Soc. Am. J., 60, 1829–1840,
https://doi.org/10.2136/sssaj1996.03615995006000060031x, 1996.
Norman, J., Jansson, P.-E., Farahbakhshazad, N., Butterbach-Bahl, K., Li, C.,
and Klemedtsson, L.: Simulation of NO and N2O emissions from a spruce
forest during a freeze/thaw event using an N-flux submodel from the
PnET-N-DNDC model integrated to CoupModel, Ecol. Modell., 216, 18–30,
https://doi.org/10.1016/j.ecolmodel.2008.04.012, 2008.
Parkin, T. B.: Soil microsites as a source of denitrification variability,
Soil Sci. Soc. Am. J., 51, 1194–1199,
https://doi.org/10.2136/sssaj1987.03615995005100050019x, 1987.
Parton, W. J., Mosier, A. R., Ojima, D. S., Valentine, D. W., Schimel, D.
S., Weier, K., and Kulmala, A. E.: Generalized model for N2 and N2O
production from nitrification and denitrification, Global Biogeochem.
Cy., 10, 401–412, https://doi.org/10.1029/96GB01455, 1996.
Paul, E. A. (Ed.): Soil microbiology, ecology and biochemistry, 3rd Edn.,
Elsevier, Amsterdam, Netherlands, https://doi.org/10.1016/C2009-0-02816-5, 2007.
Petersen, S. O., Nielsen, T. H., Frostegård, Å., and Olesen, T.:
O2 uptake, C metabolism and denitrification associated with manure
hot-spots, Soil Biol. Biochem., 28, 341–349,
https://doi.org/10.1016/0038-0717(95)00150-6, 1996.
Ratto, M., Tarantola, S., and Saltelli, A.: Sensitivity analysis in model
calibration: GSA-GLUE approach, Comput. Phys. Commun., 136, 212–224,
https://doi.org/10.1016/S0010-4655(01)00159-X, 2001.
Schmidt, M. W. I., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G.,
Janssens, I. A., Kleber, M., Kögel-Knabner, I., Lehmann, J., Manning, D.
A. C., Nannipieri, P., Rasse, D. P., Weiner, S., and Trumbore, S. E.:
Persistence of soil organic matter as an ecosystem property, Nature, 478,
49–56, https://doi.org/10.1038/nature10386, 2011.
Sierra, C. A., Harmon, M. E., and Perakis, S. S.: Decomposition of
heterogeneous organic matter and its long-term stabilization in soils, Ecol.
Monogr., 81, 619–634, https://doi.org/10.1890/11-0811.1, 2011.
Sihi, D., Davidson, E. A., Savage, K. E., and Liang, D.: Simultaneous
numerical representation of soil microsite production and consumption of
carbon dioxide, methane, and nitrous oxide using probability distribution
functions, Glob. Change Biol., 26, 200–218, https://doi.org/10.1111/gcb.14855, 2020.
Sin, G., Gernaey, K. V., and Lantz, A. E.: Good modeling practice for PAT
applications: propagation of input uncertainty and sensitivity analysis,
Biotechnol. Prog., 25, 1043–1053, https://doi.org/10.1021/bp.166, 2009.
Spohn, M.: Microbial respiration per unit microbial biomass depends on
litter layer carbon-to-nitrogen ratio, Biogeosciences, 12, 817–823,
https://doi.org/10.5194/bg-12-817-2015, 2015.
Surey, R., Schimpf, C. M., Sauheitl, L., Mueller, C. W., Rummel, P. S.,
Dittert, K., Kaiser, K., Böttcher, J., and Mikutta, R.: Potential
denitrification stimulated by water-soluble organic carbon from plant
residues during initial decomposition, Soil Biol. Biochem., 147, 107841,
https://doi.org/10.1016/j.soilbio.2020.107841, 2020.
Syakila, A. and Kroeze, C.: The global nitrous oxide budget revisited,
Greenh. Gas Meas. Manag., 1, 17–26, https://doi.org/10.3763/ghgmm.2010.0007, 2011.
Taghizadeh-Toosi, A., Janz, B., Labouriau, R., Olesen, J. E.,
Butterbach-Bahl, K., and Petersen, S. O.: Nitrous oxide emissions from red
clover and winter wheat residues depend on interacting effects of
distribution, soil N availability and moisture level, Plant Soil, 466,
121–138, https://doi.org/10.1007/s11104-021-05030-8, 2021.
U.S. Environmental Protection Agency: Guidance on the development,
evaluation, and application of environmental models (report no.
EPA/100/K-09/003),
https://www.epa.gov/sites/default/files/2015-04/documents/cred_guidance_0309.pdf (last access: 9 February 2022), 2009.
Uzoma, K. C., Smith, W., Grant, B., Desjardins, R. L., Gao, X., Hanis, K.,
Tenuta, M., Goglio, P., and Li, C.: Assessing the effects of agricultural
management on nitrous oxide emissions using flux measurements and the DNDC
model, Agr. Ecosyst. Environ., 206, 71–83,
https://doi.org/10.1016/j.agee.2015.03.014, 2015.
Vezzaro, L. and Mikkelsen, P. S.: Application of global sensitivity analysis
and uncertainty quantification in dynamic modelling of micropollutants in
stormwater runoff, Environ. Model. Softw., 27/28, 40–51,
https://doi.org/10.1016/j.envsoft.2011.09.012, 2012.
Vezzaro, L., Eriksson, E., Ledin, A., and Mikkelsen, P. S.: Quantification of
uncertainty in modelled partitioning and removal of heavy metals (Cu, Zn) in
a stormwater retention pond and a biofilter, Water Res., 46, 6891–6903,
https://doi.org/10.1016/j.watres.2011.08.047, 2012.
Wijler, J. and Delwiche, C. C.: Investigations on the denitrifying process
in soil, Plant Soil, 5, 155–169, https://doi.org/10.1007/BF01343848, 1954.
World Meteorological Organization: WMO Greenhouse gas bulletin: the state of
greenhouse gases in the atmosphere based on global observations through
2020,
https://library.wmo.int/index.php?lvl=notice_display&id=21975#.YgFFTrrMJaQ (last access: 7 February 2022), 2021.
Xing, H., Wang, E., Smith, C. J., Rolston, D., and Yu, Q.: Modelling nitrous
oxide and carbon dioxide emission from soil in an incubation experiment,
Geoderma, 167/168, 328–339, https://doi.org/10.1016/j.geoderma.2011.07.003, 2011.
Xu, X., Thornton, P. E., and Post, W. M.: A global analysis of soil microbial
biomass carbon, nitrogen and phosphorus in terrestrial ecosystems, Glob.
Ecol. Biogeogr., 22, 737–749, https://doi.org/10.1111/geb.12029, 2013.
Zhang, Y., Ghaly, A. E., and Li, B.: Physical properties of wheat straw
varieties cultivated under different climatic and soil conditions in three
continents, Am. J. Eng. Appl. Sci., 5, 98–106,
https://doi.org/10.3844/ajeassp.2012.98.106, 2012.
Short summary
In this study, we relied on a properly controlled laboratory experiment to test the model’s capability of simulating the dominant microbial processes and the emissions of one greenhouse gas (nitrous oxide, N2O) from agricultural soils. This study reveals important processes and parameters that regulate N2O emissions in the investigated model framework and also suggests future steps of model development, which have implications on the broader communities of ecosystem modelers.
In this study, we relied on a properly controlled laboratory experiment to test the model’s...
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