Articles | Volume 17, issue 13
https://doi.org/10.5194/bg-17-3643-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-3643-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jul 2020
Research article |
| 13 Jul 2020
| 13 Jul 2020
Modeling biological nitrogen fixation in global natural terrestrial ecosystems
Tong Yu
Earth, Atmospheric, and Planetary Sciences, Purdue University, West
Lafayette, IN 47907, USA
Earth, Atmospheric, and Planetary Sciences, Purdue University, West
Lafayette, IN 47907, USA
Department of Agronomy, Purdue University, West Lafayette, IN 47907,
USA
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Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmdd-8-10411-2015, https://doi.org/10.5194/gmdd-8-10411-2015, 2015
Revised manuscript has not been submitted
T. J. Bohn, J. R. Melton, A. Ito, T. Kleinen, R. Spahni, B. D. Stocker, B. Zhang, X. Zhu, R. Schroeder, M. V. Glagolev, S. Maksyutov, V. Brovkin, G. Chen, S. N. Denisov, A. V. Eliseev, A. Gallego-Sala, K. C. McDonald, M.A. Rawlins, W. J. Riley, Z. M. Subin, H. Tian, Q. Zhuang, and J. O. Kaplan
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X. Zhu, Q. Zhuang, X. Lu, and L. Song
Biogeosciences, 11, 1693–1704, https://doi.org/10.5194/bg-11-1693-2014, https://doi.org/10.5194/bg-11-1693-2014, 2014
Q. Zhu and Q. Zhuang
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmdd-6-6835-2013, https://doi.org/10.5194/gmdd-6-6835-2013, 2013
Revised manuscript not accepted
Q. Zhu and Q. Zhuang
Biogeosciences, 10, 7943–7955, https://doi.org/10.5194/bg-10-7943-2013, https://doi.org/10.5194/bg-10-7943-2013, 2013
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A chemical kinetics theory is proposed to explain the non-monotonic relationship between temperature and biochemical rates. It incorporates the observed thermally reversible enzyme denaturation that is ensured by the ceaseless thermal motion of molecules and ions in an enzyme solution and three well-established theories: (1) law of mass action, (2) diffusion-limited chemical reaction theory, and (3) transition state theory.
Nina Raoult, Louis-Axel Edouard-Rambaut, Nicolas Vuichard, Vladislav Bastrikov, Anne Sofie Lansø, Bertrand Guenet, and Philippe Peylin
Biogeosciences, 21, 1017–1036, https://doi.org/10.5194/bg-21-1017-2024, https://doi.org/10.5194/bg-21-1017-2024, 2024
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Observations are used to reduce uncertainty in land surface models (LSMs) by optimising poorly constraining parameters. However, optimising against current conditions does not necessarily ensure that the parameters treated as invariant will be robust in a changing climate. Manipulation experiments offer us a unique chance to optimise our models under different (here atmospheric CO2) conditions. By using these data in optimisations, we gain confidence in the future projections of LSMs.
Kelsey T. Foster, Wu Sun, Yoichi P. Shiga, Jiafu Mao, and Anna M. Michalak
Biogeosciences, 21, 869–891, https://doi.org/10.5194/bg-21-869-2024, https://doi.org/10.5194/bg-21-869-2024, 2024
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Assessing agreement between bottom-up and top-down methods across spatial scales can provide insights into the relationship between ensemble spread (difference across models) and model accuracy (difference between model estimates and reality). We find that ensemble spread is unlikely to be a good indicator of actual uncertainty in the North American carbon balance. However, models that are consistent with atmospheric constraints show stronger agreement between top-down and bottom-up estimates.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Oliver Sonnentag, Gabriel Hould Gosselin, Melody Sandells, Chris Derksen, Branden Walker, Gesa Meyer, Richard Essery, Richard Kelly, Phillip Marsh, Julia Boike, and Matteo Detto
Biogeosciences, 21, 825–841, https://doi.org/10.5194/bg-21-825-2024, https://doi.org/10.5194/bg-21-825-2024, 2024
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We undertake a sensitivity study of three different parameters on the simulation of net ecosystem exchange (NEE) during the snow-covered non-growing season at an Arctic tundra site. Simulations are compared to eddy covariance measurements, with near-zero NEE simulated despite observed CO2 release. We then consider how to parameterise the model better in Arctic tundra environments on both sub-seasonal timescales and cumulatively throughout the snow-covered non-growing season.
Erik Schwarz, Samia Ghersheen, Salim Belyazid, and Stefano Manzoni
EGUsphere, https://doi.org/10.5194/egusphere-2024-348, https://doi.org/10.5194/egusphere-2024-348, 2024
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Occurrence of unstable equilibrium points (EPs) could impede applicability of microbial-explicit soil organic carbon models. For archetypal model versions we identified when instability can occur and describe mathematical conditions to avoid such unstable EPs. We discuss implications for further model development, highlighting the important role of considering basic ecological principles to ensure biologically meaningful models.
Bertrand Guenet, Jérémie Orliac, Lauric Cécillon, Olivier Torres, Laura Sereni, Philip A. Martin, Pierre Barré, and Laurent Bopp
Biogeosciences, 21, 657–669, https://doi.org/10.5194/bg-21-657-2024, https://doi.org/10.5194/bg-21-657-2024, 2024
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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.
Jie Zhang, Wenxin Zhang, Per-Erik Jansson, and Søren O. Petersen
Biogeosciences, 19, 4811–4832, https://doi.org/10.5194/bg-19-4811-2022, https://doi.org/10.5194/bg-19-4811-2022, 2022
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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.
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
Short summary
Short summary
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
Short summary
Short summary
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.
Cited articles
Adams, M. A. and Attiwill, P. M.: Role of Acacia spp. in nutrient balance and cycling
in regenerating Eucalyptus regnans F. Muell. forests, I. Temporal changes in
biomass and nutrient content, Aust. J. Bot., 32, 205–215, 1984.
Alexander, V. and Billington, M. M.: Nitrogen fixation in the Alaskan taiga, Forest
ecosystems in the Alaskan taiga, Springer, New York, NY, 112–120, 1986.
Baker, T. G., Oliver, G. R., and Hodgkiss, P. D.: Distribution and cycling of nutrients
in Pinus radiata as affected by past lupin growth and fertiliser, Forest
Ecol. Manage., 17, 169–187, 1986.
Barron, A. R., Purves, D. W., and Hedin, L. O.: Facultative nitrogen fixation by canopy
legumes in a lowland tropical forest, Oecologia, 165, 511–520, 2011.
Bate, G. C. and Gunton, C.: Nitrogen in the Burkea savanna, in: Ecology of
Tropical Savannas, edited by: Huntley, B. J. and Walker, B. H.,
Springer-Verlag, New York, 498–513, 1982.
Batjes, N. H.: Global Data Set of Derived Soil Properties, 0.5-Degree Grid (ISRIC-WISE), ORNL DAAC, Oak Ridge, Tennessee, USA, https://doi.org/10.3334/ORNLDAAC/546, 2000.
Belnap, J.: Nitrogen fixation in biological soil crusts from southeast Utah, USA, Biol. Fertil. Soils, 35, 128–135, 2002.
Blundon, D. J. and Dale, M. R. T.: Dinitrogen fixation (acetylene reduction) in
primary succession near Mount Robson, British Columbia, Canada, Arct.
Alp. Res., 22, 255–263, 1990.
Boote, K. J., Jones, J. W., and Hoogenboom, G.: Simulation of crop growth:
CROPGRO model, Agr. Syst. Model. Simul., 18, 651–692,
1998.
Boote, K. J., Hoogenboom, G., Jones, J. W., and Ingram, K. T.: Modeling nitrogen
fixation and its relationship to nitrogen uptake in the in the CROPGRO
model, in: Quantifying and
Understanding Plant Nitrogen Uptake for Systems Modeling, edited by: Ma, L., Ahuja, L. R., and Bruulsema, T. W., CRC Press,
Florence, USA, 13–46, 2008.
Boring, L. R. and Swank, W. T.: The role of black locust (Robinia pseudo-acacia) in
forest succession, J. Ecol., 71, 749–766, 1984.
Bouniols, A., Cabelguenne, M., Jones, C. A., Chalamet, A., Charpenteau, J. L., and
Marty, J. R.: Simulation
of Soybean Nitrogen Nutrition for a Silty Clay Soil in Southern France,
Field Crops Res., 26, 19–34, 1991.
Bowman, W. D., Schardt, J. C., and Schmidt, S. K.: Symbiotic N 2-fixation in alpine
tundra: ecosystem input and variation in fixation rates among communities,
Oecologia, 108, 345–350, 1996.
Breitbarth, E., Oschlies, A., and LaRoche, J.: Physiological constraints on the global distribution of Trichodesmium – effect of temperature on diazotrophy, Biogeosciences, 4, 53–61, https://doi.org/10.5194/bg-4-53-2007, 2007.
Bruijnzeel, L. A.: Nutrient input–output budgets of tropical forest
ecosystems: a review, J. Trop. Ecol., 7, 1–24, 1991.
Bustamante, M. M. C., Medina, E., Asner, G. P., Nardoto, G. B., and Garcia-Montiel, D. C.: Nitrogen cycling in tropical and temperate savannas. Biogeochemistry, 79, 209–237, 2006.
Cabelguenne, M., Debaeke, P., and Bouniols, A.: EPICphase, A Version of the
EPIC Model Simulating the Effects of Water and Nitrogen Stress on Biomass
and Yield, Taking Account of Developmental Stages: Validation on Maize,
Sunflower, Sorghum, Soybean, and Winter Wheat, Agric. Syst., 60, 175–196,
1999.
Cannell, M. G. R. and Thornley, J. H. M.: Modelling the components of plant
respiration: some guiding principles, Ann. Bot.-Lond., 85, 45–54, 2000.
Cech, P. G., Kuster, T., Edwards, P. J., and Olde Venterink, H.: Effects of herbivory, fire and N
2-fixation on nutrient limitation in a humid African savanna, Ecosystems,
11, 991–1004, 2008.
Chapin, D., Bliss, I. C., and Bledsoe, I. J:. Environmental regulation of nitrogen
fixation in a high arctic lowland ecosystem, Can J. Bot., 69, 2744–2755,
1991.
Chen, M. and Zhuang, Q.: Modelling temperature acclimation effects on the carbon dynamics of forest ecosystems in the conterminous United States, Tellus B, 65, 19156, https://doi.org/10.3402/tellusb.v65i0.19156, 2013.
Christie, P.: Nitrogen in two contrasting Antarctic bryophyte communities, J.
Ecol., 75, 73–93, 1987
Clayton, J. L. and Kennedy, D. A.: Nutrient Losses from Timber Harvest in the Idaho
Batholith 1, Soil. Sci. Soc. Am. J., 49, 1041–1049, 1985.
Cleveland, C. C., Townsend, A. R., Schimel, D. S., Fisher, H., Howarth, R. W., Hedin, L. O., Perakis, S. S., Latty, E. F., Von Fischer, J. C., Elseroad, A., and Wasson, M. F.: Global patterns of
terrestrial biological nitrogen (N2) fixation in natural ecosystems, Global
Biogeochem. Cy., 13, 623–645, 1999.
Cleveland, C. C., Houlton, B. Z., Neill, C., Reed, S. C., Townsend, A. R., and Wang, Y.: Using indirect methods to constrain symbiotic nitrogen fixation rates: a case study from an Amazonian rain forest, Biogeochemistry, 99, 1–13, 2010.
Cleveland, C. C., Houlton, B. Z., Smith, W. K., Marklein, A. R., Reed, S., Parton, W. J., Del Grosso, S., and Runing, S. W.: Patterns of new versus
recycled primary production in the terrestrial biosphere, P. Natl. Acad. Sci. USA,
110, 12733–12737, 2013.
Corre-Hellou, G., Brisson, N., Launay, M., Fustec, J., and Crozat, Y.: Effect of root depth penetration
on soil nitrogen competitive interactions and dry matter production in
pea–barley intercrops given different soil nitrogen supplies, Field Crop.
Res., 103, 76–85, 2007.
Corre-Hellou, G., Faure, M., Launay, M., Brisson, N., and Crozat, Y.: Adaptation of the STICS intercrop
model to simulate crop growth and N accumulation in pea–barley intercrops,
Field Crop. Res., 113, 72–81, 2009.
Crews, T. E.: The presence of nitrogen fixing legumes in terrestrial
communities: Evolutionary vs ecological considerations, New Perspectives on
Nitrogen Cycling in the Temperate and Tropical Americas, Springer,
Dordrecht, 233–246, 1999.
Crisp, M., Cook, L., and Steane, D.: Radiation of the Australian flora: what can
comparisons of molecular phylogenies across multiple taxa tell us about the
evolution of diversity in present–day communities?, Philos. T. R. Soc.
B, 359, 1551–1571, 2004.
DeLuca, T., Zackrisson, O., Nilsson, M., and Sellstedt, A.: Quantifying nitrogen-fixation in feather moss carpets of boreal forests, Nature, 419, 917–920, 2002.
Doherty, R. M., Hulme, M., and Jones, C. G.: A gridded reconstruction of land and ocean precipitation for the extended tropics from 1974 to 1994, Int. J. Climatol., 19, 119–142, 1999.
DuBois, J. D. and Kapustka, L. A.: Biological nitrogen influx in an Ohio relict
prairie, Am. J. Bot., 70, 8–16, 1983.
Eckersten, H., Geijersstam, L. A., and Torssell, B.: Modelling nitrogen
fixation of pea (Pisum sativum L.), Acta. Agr. Scand. B.-S. P., 56, 129–137,
2006.
Eisele, L., Schimel, D. S., Kapustka, L. A., and Parton, W. J.: Effects of
available P and N:P ratios on non-symbiotic dinitrogen fixation in
tallgrass prairie soils, Oecologia, 79, 471–474, 1989.
Elbert, W., Weber, B., Burrows, S., Steinkamp, J., Büdel, B., Andreae,
M. O., and Pöschl, U.: Contribution of cryptogamic covers to the global
cycles of carbon and nitrogen, Nat. Geosci., 5, 459–462, 2012.
Fahey, T. J., Yavitt, J. B., Pearson, J. A., and Knight, D. H.: The nitrogen cycle in lodgepole
pine forests, southeastern Wyoming, Biogeochemistry, 1, 257–275, 1985.
Fahey, T. J., Yavitt, J. B., and Joyce, G.: Precipitation and throughfall chemistry in Pinus contorta spp. latifolia ecosystems, southeastern Wyoming, Can. J. Forest Res., 18, 337–345, 1988.
Fisher, J. B., Sitch, S., Malhi, Y., Fisher, R. A., Huntingford, C., and Tan, S.-Y.: Carbon cost of plant nitrogen
acquisition: A mechanistic, globally applicable model of plant nitrogen
uptake, retranslocation, and fixation, Global Biogeochem. Cy., 24, GB1014, https://doi.org/10.1029/2009GB003621, 2010.
Galloway, J. N., Schlesinger, W. H., Levy, H., Michaels, A., and Schnoor, J. L.: Nitrogen fixation:
Anthropogenic enhancement-environmental response, Global Biogeochem. Cy.,
9, 235–252, 1995.
Galloway, J. N., Cowling, E. B., Seitzinger, S. P., and Socolow, R. H.: Reactive nitrogen: too
much of a good thing?, AMBIO: A Journal of the Human Environment, 31,
60–64, 2002.
Galloway, J. N., Dentener, F. J., Capone, D. G., Boyer, E. W., Howarth, R. W., Seitzinger, S. P., Asner, G. P., Cleveland, C. C., Green, P. A., Holland, E. A., Karl, D. M., Michaels, A. F., Porter, J. H., Townsend, A. R., and Vorosmarty, C. J: Nitrogen cycles: past,
present, and future, Biogeochemistry, 70, 153–226, 2004.
Gerber, S., Hedin, L. O., Oppenheimer, M., Pacala, S. W., and Shevliakova, E.: Nitrogen cycling and feedbacks in
a global dynamic land model, Global Biochemical. Cy., 24, GB1001, https://doi.org/10.1029/2008GB00333, 2010.
Goosem, S. and Lamb, D.: Measurements of phylloshpere nitrogen fixation in a
tropical and two sub-tropical rainforests, J. Trop. Ecol., 2,
373–376, 1986.
Granhall, U., and Lid-Torsvik, V.: Nitrogen fixation by bacteria and free-living blue-green algae in tundra areas, in: Fennoscandian Tundra Ecosystems, edited by: Wielgolaski, F. E., Part I, Plants and Microorganisms, Spring-Verlag, New York, 305–315, 1975.
Grove, T. S. and Malajczuk, N.: Nodule production and nitrogen fixation (acetylene
reduction) by an understorey legume (Bossiaea laidlawiana) in Eucalyptus
forest, J. Ecol., 80, 303–314, 1992.
Gruber, N. and Galloway, J. N.: An Earth System Perspective of the
Global Nitrogen Cycle, Nature, 451, 293–296, 2008.
Gundale, M. J., Nilsson, M., Bansal, S., and Jaderlund, A.: The interactive effects of
temperature and light on biological nitrogen fixation in boreal forests, New
Phytol., 194, 453–463, 2012.
Hardy, R. W. F., Holsten, R. D., Jackson, E. K., and Burns, R. C.: The acetylene-ethylene assay
for N2 fixation: laboratory and field evaluation, Plant Physiol.,
43, 1185–1207, 1968.
Hardy, R. W. F., Burns, R. C., and Holsten, R. D.: Applications of the acetylene-ethylene
assay for measurement of nitrogen fixation, Soil Biol. Biochem., 5,
47–81, 1973.
Harvey, A. E., Larsen, M. J., Jurgensen, M. F., and Jones, E. A.: Nitrogenase activity
associated with decayed wood of living northern Idaho conifers, Mycologia,
81, 765–771, 1989.
Heath, B., Sollins, P., Perry, D. A., and Cromack Jr., K.: Asymbiotic
nitrogen fixation in litter from Pacific Northwest forests, Can J. Forest
Res., 18, 68–74, 1988.
Hendrickson, O. Q.: Asymbiotic nitrogen fixation and soil metabolism in three
Ontario forests, Soil Biol. Biochem., 22, 967–971, 1990.
Hendrickson, O. Q. and Burgess, D.: Nitrogen-fixing plants in a cut-over lodgepole pine stand of southern British Columbia, Can J. Forest Res., 19, 936–939, 1989.
Holzworth, D. P., Huth, N. I., deVoil, P. G., Zurcher, E. J., Herrmann, N.
I., McLean, G., and Moore, A. D.: APSIM–evolution towards a new
generation of agricultural systems simulation, Environ. Modell. Softw., 62,
327–350, 2014.
Houlton, B. Z., Morford, S. L., and Dahlgren, R. A.: Convergent evidence for
widespread rock nitrogen sources in Earth's surface environment, Science,
360, 58–62, 2018.
Huss-Danell, K.: Nitrogen fixation by Stereocaulon paschale under field
conditions, Can J. Botany, 55, 585–592, 1977.
Jarrell, W. M. and Virginia, R. A.: Soil cation accumulation in a mesquite
woodland: sustained production and long-term estimates of water use and
nitrogen fixation, J. Arid Environ., 18, 51–58, 1990.
Johnson, H. B. and Mayeux, H. S.: Prosopis glandulosa and the nitrogen
balance of rangelands: extent and occurrence of nodulation, Oecologia,
84, 176–185, 1990.
Jones, P. D., Lister, D. H., Osborn, T. J., Harpham, C., Salmon, M., and Morice, C. P.: Hemispheric and large-scale land surface air temperature variations: an extensive revision and an update to 2010, J. Geophys. Res., 117, D05127, https://doi.org/10.1029/2011JD017139, 2012.
Jordan, C. W., Caskey, W., Escalante, G., Herrera, R., Montagnini, E.,
Todd, R., and Uhl, C.: The nitrogen cycle in a Terra Eirme rain forest on Oxisol in the Amazon Territory of Venezuela, Plant Soil, 67, 325–332, 1983.
Kapustka, L. A. and DuBois, J. D.: Dinitrogen fixation by cyanobacteria and
associative rhizosphere bacteria in the Arapaho Prairie in the Sand Hills of
Nebraska, Am. J. Bot., 74, 107–113, 1987.
Kou-Giesbrecht, S. and Menge, D.: Nitrogen-fixing trees could exacerbate climate change under elevated nitrogen deposition, Nat. Commun., 10, 1493, https://doi.org/10.1038/s41467-019-09424-2, 2019.
Layzell, D. B., Rainbird R. M., Atkins, C. A., and Pate, J. S.: Economy of photosynthate use in N-fixing legume modules: observations on two contracting symbioses, Plant Physiol., 64, 888–891, 1979.
LeBauer, D. S. and Treseder, K. K.: Nitrogen limitation of net primary
productivity in terrestrial ecosystems is globally distributed, Ecology,
89, 371–379, 2008.
Lee, Y. Y. and Son, Y.: Diurnal and seasonal patterns of nitrogen fixation
in analnus hirsuta plantation of central Korea, J. Plant Biol., 48,
332–337, 2005.
Lepper, M. G. and Fleschner, M.: Nitrogen fixation by Cercocarpus
ledifolius (Rosaceae) in pioneer habitats, Oecologia, 27, 333–338, 1977.
Lett, S. and Michelsen, A.: Seasonal variation in nitrogen fixation and
effects of climate change in a subarctic heath, Plant Soil, 379,
193–204, 2014.
Levy, H., Moxim, W. J., and Kasibhatla, P. S.: A global three–dimensional
time–dependent lightning source of tropospheric NOx, J. Geophys. Res.-Atmos.,
101, 22911–22922, 1996.
Ley, R. E. and D'Antonio, C. M.: Exotic grass invasion alters potential rates of
N fixation in Hawaiian woodlands, Oecologia, 113, 179–187, 1998.
Lindemann, W. C. and Glover, C. R.: Nitrogen fixation by legumes. New Mexico State University, Cooperative Extension Service, New Mexico State University, College of Agricultural, Consumer, and Environmental Sciences 2003.
Luken, J. O. and Fonda, R. W.: Nitrogen accumulation in a chronosequence of
red alder communities along the Hoh River, Olympic National Park,
Washington, Can. J. Forest Res., 13, 1228–1237, 1983.
Maheswaran, J. and Gunatilleke, I. A. U. N.: Nitrogenase activity in soil
and litter of a tropical lowland rain forest and an adjacent fernland in Sri
Lanka, J. Trop. Ecol., 6, 281–289, 1990.
Marino, D., Frendo, P., Ladrera, R., Zabalza, A., Puppo, A., Arrese-Igor,
C., and González, E. M.: Nitrogen fixation control under drought stress.
Localized or systemic?, Plant Physiol., 143, 1968–1974, 2007.
May, D. E. and Webber, P. J.: Spatial and temporal variation of vegetation and
its productivity on Niwot Ridge, Colorado, in: Ecological Studies in the
Colorado Alpine, a Festschrift for John W. Mart, edited by: Halfpenny, H.,
35–62, Institute for Arctic and Alpine Research, Univ. of Colorado, Boulder,
Colorado, 1982.
Melillo, J. M., McGuire, A. D., Kicklighter, D. W., Moore III, B., Vorosmarty, C. J., and Schloss, A. L.: Global climate change and terrestrial net primary production, Nature, 363, 234–240,
https://doi.org/10.1038/363234a0, 1993.
Mitchell, T. D. and Jones, P. D.: An improved method of constructing a
database of monthly climate observations and associated high–resolution
grids, Int. J. Climatol., 25, 693–712, 2005.
Montanez, A., Danso, S. K. A., and Hardarson, G.: The effect of
temperature on nodulation and nitrogen fixation by five Bradyrhizobium
japonicum strains, Appl. Soil Ecol., 2, 165–174, 1995.
Morford, S. L., Houlton, B. Z., and Dahlgren, R. A.: Increased forest
ecosystem carbon and nitrogen storage from nitrogen rich bedrock, Nature,
477, 78–81, https://doi.org/10.1038/nature10415, 2011.
Mus, F., Crook, M. B., Garcia, K., Costas, A. G., Geddes, B. A., Kouri, E.
D., and Udvardi, M. K.: Symbiotic nitrogen fixation and the challenges
to its extension to nonlegumes, Appl. Environ. Microbiol., 82,
3698–3710, 2016.
Nohrstedt, H. Ö.: Biological activity in soil from forest stands in Central
Sweden, as related to site properties, Microb. Ecol., 11, 259–266, 1985.
O'Connel, A. M. and Grove, T. S.: Seasonal variation in C2H2 reduction
(N2-fixation) in the litter layer of eucalypt forests of south-western
Australia, Soil Biol. Biochem., 19, 135–142, 1987.
Permar, T. A. and Fisher, R. F.: Nitrogen fixation and accretion by wax
myrtle (Myrica cerifera) in slash pine (Pinus elliottii) plantations, Forest
Ecol. Manag., 5, 39–46, 1983.
Pons, T. L., Perreijn, K., Van Kessel, C., and Werger, M. J.: Symbiotic
nitrogen fixation in a tropical rainforest: 15N natural abundance
measurements supported by experimental isotopic enrichment, New Phytol.,
173, 154–167, 2007.
Reed, S. C., Cleveland, C. C., and Townsend, A. R. Functional ecology of
free-living nitrogen fixation: a contemporary perspective, Annu. Rev. Ecol.
Evol. S., 42, 489–512, 2011.
Robertson, G. P. and Rosswall, T.: Nitrogen in West Africa: The tropical cycle, Ecol. Monogr., 56, 43–72, 1986.
Rundel, P. W., Nilsen, E. T., Sharifi, M. R., Virginia, R. A., Jarrell, W.
M., Kohl, D. H., and Shearer, G. B.: Seasonal dynamics of nitrogen cycling
for a Prosopis woodland in the Sonoran Desert, in: Nitrogen Cycling in
Ecosystems of Latin America and the Caribbean, Springer,
Dordrecht, 343–353, 1982.
Rylr, G. J. A., Powell, C. E., and Gordon, A. J.: Th respiratory costs of nitrogen fixation in soybean, cowpea and white clover, I. Nitrogen fixation and the respiration of the nodulated root, J. Expt. Bot., 30, 145–153, 1979.
Sánchez-Diaz, M.: Adaptation of legumes to multiple stresses in
Mediterranean-type environments, Options Méditerranéennes, 45,
145–151, 2001.
Schlesinger, W. H., Gray, J. T., Gill, D. S., and Mahall, B. E.: Ceanothus
megacarpus chaparral: a synthesis of ecosystem processes during development
and annual growth, Bot. Rev., 48, 71–117, 1982.
Schrire, B. D., Lewis, G. P., and Lavin, M.: Biogeography of the Leguminosae,
Legumes of the world, 21–54, 2005.
Schwintzer, C. R.: Nonsymbiotic and symbiotic nitrogen fixation in a weakly
minerotrophic peatland, Am. J. Bot., 70, 1071–1078, 1983.
Sharpley, A. N. and Williams, J. R.: EPIC Erosion/Productivity Impact Calculator: 1. Model Documentation, USA Department of Agriculture Technical Bulletin No. 1768, USA Government Printing Office, Washington DC, 1990.
Shearer, G. and Kohl, D. H.: N2-fixation in field settings: estimations
based on natural 15N abundance, Funct. Plant Biol., 13, 699–756, 1986.
Sheridan, R. P.: Nitrogenase activity by Hapalosiphon flexuosus associated
with Sphagnum erythrocalyx mats in the cloud forest on the volcano La
Soufriere, Guadeloupe, French West Indies, Biotropica, 23, 134–140, 1991.
Skujinš, J., Tann, C. C., and Börjesson, I.: Dinitrogen fixation in
a montane forest sere determined by 15N2 assimilation and in situ
acetylene-reduction methods, Soil Biol. Biochem., 19, 465–471, 1987.
Sobota, D. J., Compton, J. E., and Harrison, J. A.: Reactive nitrogen inputs
to US lands and waterways: how certain are we about sources and fluxes?,
Front. Ecol. Environ., 11, 82–90, 2013.
Sonesson, M., Jonsson, S., Rosswall, T., and Rydén, B. E.: The Swedish
IBP/PT Tundra Biome Project Objectives-Planning-Site, Ecol. Bull., 30, 7–25,
1980.
Sprent, J. I.: The effects of water stress on nitrogen–fixing root nodules,
New Phytol., 71, 443–450, 1972.
Sprent, J. I., Ardley, J., and James, E. K.: Biogeography of nodulated
legumes and their nitrogen–fixing symbionts, New Phytol., 215, 40–56,
2017.
Srivastava, A. K. and Ambasht, R. S.: Soil moisture control of nitrogen
fixation activity in dry tropical Casuarina plantation forest, J. Environ.
Manage., 42, 49–54, 1994.
Stedman, D. H. and Shetter, R.: The global budget of atmosphere nitrogen
species, in: Trace Atmospheric Constituent: Properties, Transformations and
Fates, edited by: Schwartz, S. S., John Wiley, New York, 411–454, 1983.
Stewart, W. D. P., Sampaio, M. J., Isichei, A. O., and Sylvester-Bradley, R.:
Nitrogen fixation by soil algae of temperate and tropical soils, in:
Limitation and potentials for
biological nitrogen fixation in the tropics, edited by: Dobreiner, J., Burris, R. H., and Hollaender, A., Basic Life Sciences,
Plenum Press, New York,Vol. 10, 41–63, 1978.
Sutton, M. A., Mason, K. E., Sheppard, L. J., Sverdrup, H., Haeuber, R., and Hicks, W. K.: Nitrogen deposition, critical loads and biodiversity, Springer Science and Business Media, https://doi.org/10.1007/978-94-007-7939-6, 2014.
Sullivan, B. W., Smith, W. K., Townsend, A. R., Nasto, M. K., Reed, S. C.,
Chazdon, R. L., and Cleveland, C. C.: Spatially robust estimates of
biological nitrogen (N) fixation imply substantial human alteration of the
tropical N cycle, P. Natl. Acad. Sci. USA, 111, 8101–8106, 2014.
Sylvester-Bradley, R., Oloveira, L. A., Podesta Filho, J. A., and St John, T. V.: Nodulation of legumes, nitrogenase activity-fixing Azospirillum app. in representative soils of Central Amazonia, Proc. Int. Lupin Conf., 157–173, 1980.
Thornley, J. H. M.: Simulating grass-legume dynamics: a phenomenological
submodel, Ann. Bot.-Lond., 88, 905–913, 2001.
Vitousek, P. M.: Potential nitrogen fixation during primary succession in
Hawaii Volcanoes National Park, Biotropica, 26, 234–240, 1994.
Vitousek, P. M. and FIeld, C. B.: Ecosystem constraints to symbiotic nitrogen fixers: A simple model and its implications, Biogeochemistry, 46, 179–202, 1999.
Vitousek, P. M., Menge, D. N., Reed, S. C., and Cleveland, C. C.: Biological
nitrogen fixation: rates, patterns and ecological controls in terrestrial
ecosystems, Philos. T. R. Soc. B, 368, 20130119, https://doi.org/10.1098/rstb.2013.0119, 2013.
Voisin, A. S., Salon, C., Jeudy, C., and Warembourg, F. R.: Symbiotic N2
fixation activity in relation to C economy of Pisum sativum L. as a function
of plant phenology, J. Exp. Bot., 54, 2733–2744, 2003.
Voisin, A. S., Bourion, V., Duc, G., and Salon, C.: Using an
ecophysiological analysis to dissect genetic variability and to propose an
ideotype for nitrogen nutrition in pea, Ann. Bot.-Lond., 100, 1525–1536,
2007.
Weber, M. G. and Van Cleve, K.: Nitrogen dynamics in the forest floor of interior Alaska black spruce ecosystems, Can J. Forest Res., 11, 743–751, https://doi.org/10.1139/x81-106, 1981.
Wheatley, R. E. and Sprent, J. I.: Legume Nodulation: A Global Perspective, edited by: Sprent, J. I., Chichester, UK, Wiley-Blackwell, ISBN 97818405181754, 200 pp., 2009.
Williams, J. R. and Sharply, A. N.: EPIC-Erosion Productivity Impact Cacalator,
Model Documentation, US Department of Agriculture Technical Bulletin, 235 pp.,
1768.
Woodmansee, R. G. and Wallach, L. S.: Effects of fire regimes on
biogeochemical cycles, Terr. Nitr. Cy. Ecol. Bull.,
33, 649–669, 1981.
Wu, L. and McGechan, M. B.: Simulation of nitrogen uptake, fixation and
leaching in a grass/white clover mixture, Grass Forage Sci., 54, 30–41,
1999.
Xu, X., Thornton, P. E., and Potapov, P.: A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data, ORNL DAAC, Oak Ridge, Tennessee, USA, https://doi.org/10.3334/ORNLDAAC/1264, 2014.
Xu-Ri and Prentice, I. C.: Modelling the demand for new nitrogen fixation by terrestrial ecosystems, Biogeosciences, 14, 2003–2017, https://doi.org/10.5194/bg-14-2003-2017, 2017.
Yu, T. and Zhuang, Q.: Quantifying global N2O emissions from natural ecosystem soils using trait-based biogeochemistry models, Biogeosciences, 16, 207–222, https://doi.org/10.5194/bg-16-207-2019, 2019.
Zhuang, Q., Romanovsky, V. E., and McGuire, A. D.: Incorporation of a
permafrost model into a large–scale ecosystem model: Evaluation of temporal
and spatial scaling issues in simulating soil thermal dynamics, J. Geophys.
Res.-Atmos., 106, 33649–33670, 2001.
Zhuang, Q., McGuire, A. D., O'neill, K. P., Harden, J. W., Romanovsky, V.
E., and Yarie, J.: Modeling soil thermal and carbon dynamics of a fire
chronosequence in interior Alaska, J. Geophys. Res.-Atmos., 107, 8147, https://doi.org/10.1029/2001JD001244,
2002.
Zhuang, Q., McGuire, A. D., Melillo, J. M., Clein, J. S., Dargaville, R. J., Kicklighter, D. W., Myneni, R. B., Dong, J., Romanovsky, V. E., Harden, J., and Hobbie, J. E.: Carbon cycling in extratropical terrestrial ecosystems of the Northern Hemisphere during the 20th Century: A modeling analysis of the influences of soil thermal dynamics, Tellus B, 55, 751–776, 2003.
Zhuang, Q., McGuire, A. D., Melillo, J. M., Clein, J. S., Dargaville, R. J.,
Kicklighter, D. W., and Hobbie, J. E.: Carbon cycling in extratropical
terrestrial ecosystems of the Northern Hemisphere during the 20th century: a
modeling analysis of the influences of soil thermal dynamics, Tellus B,
55, 751–776, 2011.
Zhuang, Q., Lu, Y., and Chen, M.: An inventory of global N2O emissions from
the soils of natural terrestrial ecosystems, Atmos. Environ., 47, 66–75,
2012.
Zhuang, Q., Chen, M., Xu, K., Tang, J., Saikawa, E., Lu, Y., and
McGuire, A. D.: Response of global soil consumption of atmospheric
methane to changes in atmospheric climate and nitrogen deposition, Global
Biogeochem. Cy., 27, 650–663, 2013.
Short summary
Biological nitrogen fixation (BNF) plays an important role in the global nitrogen cycle. However, the fixation rate has usually been measured or estimated at a particular observational site. This study develops a BNF model considering the symbiotic relationship between legume plants and bacteria. The model is extensively calibrated with site-level observational data and then extrapolated to the global terrestrial ecosystems to quantify the fixation rate in the 1990s.
Biological nitrogen fixation (BNF) plays an important role in the global nitrogen cycle....
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