Articles | Volume 16, issue 9
https://doi.org/10.5194/bg-16-1955-2019
© Author(s) 2019. 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-16-1955-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 May 2019
Research article |
| 13 May 2019
| 13 May 2019
Modeling soil organic carbon dynamics in temperate forests with Yasso07
INRA, UR BEF – Biogéochimie des Ecosystèmes Forestiers,
54280 Champenoux, France
Amap, INRA, CNRS, IRD, CIRAD, University Montpellier, Montpellier,
France
Delphine Derrien
INRA, UR BEF – Biogéochimie des Ecosystèmes Forestiers,
54280 Champenoux, France
Markus Didion
Swiss Federal Institute for Forest, Snow and Landscape Research
WSL, 8903 Birmensdorf, Switzerland
Jari Liski
Finnish Environment Institute, Ecosystem Change Unit, Natural
Environment Centre, Mechelininkatu 34a, P.O. Box 140, 00251 Helsinki, Finland
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki,
Finland
Thomas Eglin
ADEME – DPED – Service Agriculture et Forêts, 49004 Angers,
France
Manuel Nicolas
Office National des Forêts, Direction Forêts et Risques
Naturels, Département Recherche-Développement-Innovation, Boulevard
de Constance, 77300 Fontainebleau, France
Mathieu Jonard
Earth and Life Institute, Université Catholique de Louvain,
Croix du Sud 2, L7.05.09, 1348 Louvain-la-Neuve, Belgium
Laurent Saint-André
INRA, UR BEF – Biogéochimie des Ecosystèmes Forestiers,
54280 Champenoux, France
CIRAD, UMR ECO&Sols, Place Viala, 34398 Montpellier Cedex 5,
France
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EGUsphere, https://doi.org/10.5194/egusphere-2024-3788, https://doi.org/10.5194/egusphere-2024-3788, 2024
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Predicting soil organic carbon (SOC) stocks in forests is crucial for assessing C balance, yet drivers of SOC stocks remain uncertain at large scales. Across a broad environmental gradient in Switzerland, we compared measured SOC stocks with those modelled by Yasso20, commonly used for GHG budgets. Our results show that soil mineral properties and climate are main controls of SOC stocks, indicating that better accounting of these processes will advance accuracy of SOC stock predictions.
Martin Schwartz, Philippe Ciais, Aurélien De Truchis, Jérôme Chave, Catherine Ottlé, Cedric Vega, Jean-Pierre Wigneron, Manuel Nicolas, Sami Jouaber, Siyu Liu, Martin Brandt, and Ibrahim Fayad
Earth Syst. Sci. Data, 15, 4927–4945, https://doi.org/10.5194/essd-15-4927-2023, https://doi.org/10.5194/essd-15-4927-2023, 2023
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As forests play a key role in climate-related issues, their accurate monitoring is critical to reduce global carbon emissions effectively. Based on open-access remote-sensing sensors, and artificial intelligence methods, we created high-resolution tree height, wood volume, and biomass maps of metropolitan France that outperform previous products. This study, based on freely available data, provides essential information to support climate-efficient forest management policies at a low cost.
Arthur Guignabert, Quentin Ponette, Frédéric André, Christian Messier, Philippe Nolet, and Mathieu Jonard
Geosci. Model Dev., 16, 1661–1682, https://doi.org/10.5194/gmd-16-1661-2023, https://doi.org/10.5194/gmd-16-1661-2023, 2023
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Spatially explicit and process-based models are useful to test innovative forestry practices under changing and uncertain conditions. However, their larger use is often limited by the restricted range of species and stand structures they can reliably account for. We therefore calibrated and evaluated such a model, HETEROFOR, for 23 species across southern Québec. Our results showed that the model is robust and can predict accurately both individual tree growth and stand dynamics in this region.
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.
Weilin Huang, Peter M. van Bodegom, Toni Viskari, Jari Liski, and Nadejda A. Soudzilovskaia
Biogeosciences, 19, 1469–1490, https://doi.org/10.5194/bg-19-1469-2022, https://doi.org/10.5194/bg-19-1469-2022, 2022
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This work focuses on one of the essential pathways of mycorrhizal impact on C cycles: the mediation of plant litter decomposition. We present a model based on litter chemical quality which precludes a conclusive examination of mycorrhizal impacts on soil C. It improves long-term decomposition predictions and advances our understanding of litter decomposition dynamics. It creates a benchmark in quantitatively examining the impacts of plant–microbe interactions on soil C dynamics.
Lena Wohlgemuth, Pasi Rautio, Bernd Ahrends, Alexander Russ, Lars Vesterdal, Peter Waldner, Volkmar Timmermann, Nadine Eickenscheidt, Alfred Fürst, Martin Greve, Peter Roskams, Anne Thimonier, Manuel Nicolas, Anna Kowalska, Morten Ingerslev, Päivi Merilä, Sue Benham, Carmen Iacoban, Günter Hoch, Christine Alewell, and Martin Jiskra
Biogeosciences, 19, 1335–1353, https://doi.org/10.5194/bg-19-1335-2022, https://doi.org/10.5194/bg-19-1335-2022, 2022
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Gaseous mercury is present in the atmosphere all over the globe. During the growing season, plants take up mercury from the air in a similar way as CO2. We investigated which factors impact this vegetational mercury uptake by analyzing a large dataset of leaf mercury uptake rates of trees in Europe. As a result, we conclude that mercury uptake is foremost controlled by tree-intrinsic traits like physiological activity but also by climatic factors like dry conditions in the air and in soils.
Toni Viskari, Janne Pusa, Istem Fer, Anna Repo, Julius Vira, and Jari Liski
Geosci. Model Dev., 15, 1735–1752, https://doi.org/10.5194/gmd-15-1735-2022, https://doi.org/10.5194/gmd-15-1735-2022, 2022
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We wanted to examine how the chosen measurement data and calibration process affect soil organic carbon model calibration. In our results we found that there is a benefit in using data from multiple litter-bag decomposition experiments simultaneously, even with the required assumptions. Additionally, due to the amount of noise and uncertainties in the system, more advanced calibration methods should be used to parameterize the models.
Olli Nevalainen, Olli Niemitalo, Istem Fer, Antti Juntunen, Tuomas Mattila, Olli Koskela, Joni Kukkamäki, Layla Höckerstedt, Laura Mäkelä, Pieta Jarva, Laura Heimsch, Henriikka Vekuri, Liisa Kulmala, Åsa Stam, Otto Kuusela, Stephanie Gerin, Toni Viskari, Julius Vira, Jari Hyväluoma, Juha-Pekka Tuovinen, Annalea Lohila, Tuomas Laurila, Jussi Heinonsalo, Tuula Aalto, Iivari Kunttu, and Jari Liski
Geosci. Instrum. Method. Data Syst., 11, 93–109, https://doi.org/10.5194/gi-11-93-2022, https://doi.org/10.5194/gi-11-93-2022, 2022
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Better monitoring of soil carbon sequestration is needed to understand the best carbon farming practices in different soils and climate conditions. We, the Field Observatory Network (FiON), have therefore established a methodology for monitoring and forecasting agricultural carbon sequestration by combining offline and near-real-time field measurements, weather data, satellite imagery, and modeling. To disseminate our work, we built a website called the Field Observatory (fieldobservatory.org).
Laura Heimsch, Annalea Lohila, Juha-Pekka Tuovinen, Henriikka Vekuri, Jussi Heinonsalo, Olli Nevalainen, Mika Korkiakoski, Jari Liski, Tuomas Laurila, and Liisa Kulmala
Biogeosciences, 18, 3467–3483, https://doi.org/10.5194/bg-18-3467-2021, https://doi.org/10.5194/bg-18-3467-2021, 2021
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CO2 and H2O fluxes were measured at a newly established eddy covariance site in southern Finland for 2 years from 2018 to 2020. This agricultural grassland site focuses on the conversion from intensive towards more sustainable agricultural management. The first summer experienced prolonged dry periods, and notably larger fluxes were observed in the second summer. The field acted as a net carbon sink during both study years.
Virginie Moreaux, Simon Martel, Alexandre Bosc, Delphine Picart, David Achat, Christophe Moisy, Raphael Aussenac, Christophe Chipeaux, Jean-Marc Bonnefond, Soisick Figuères, Pierre Trichet, Rémi Vezy, Vincent Badeau, Bernard Longdoz, André Granier, Olivier Roupsard, Manuel Nicolas, Kim Pilegaard, Giorgio Matteucci, Claudy Jolivet, Andrew T. Black, Olivier Picard, and Denis Loustau
Geosci. Model Dev., 13, 5973–6009, https://doi.org/10.5194/gmd-13-5973-2020, https://doi.org/10.5194/gmd-13-5973-2020, 2020
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The model GO+ describes the functioning of managed forests based upon biophysical and biogeochemical processes. It accounts for the impacts of forest operations on energy, water and carbon exchanges within the soil–vegetation–atmosphere continuum. It includes versatile descriptions of management operations. Its sensitivity and uncertainty are detailed and predictions are compared with observations about mass and energy exchanges, hydrological data, and tree growth variables from different sites.
Toni Viskari, Maisa Laine, Liisa Kulmala, Jarmo Mäkelä, Istem Fer, and Jari Liski
Geosci. Model Dev., 13, 5959–5971, https://doi.org/10.5194/gmd-13-5959-2020, https://doi.org/10.5194/gmd-13-5959-2020, 2020
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The research here established whether a Bayesian statistical method called state data assimilation could be used to improve soil organic carbon (SOC) forecasts. Our test case was a fallow experiment where SOC content was measured over several decades from a plot where all vegetation was removed. Our results showed that state data assimilation improved projections and allowed for the detailed model state be updated with coarse total carbon measurements.
Tea Thum, Julia E. M. S. Nabel, Aki Tsuruta, Tuula Aalto, Edward J. Dlugokencky, Jari Liski, Ingrid T. Luijkx, Tiina Markkanen, Julia Pongratz, Yukio Yoshida, and Sönke Zaehle
Biogeosciences, 17, 5721–5743, https://doi.org/10.5194/bg-17-5721-2020, https://doi.org/10.5194/bg-17-5721-2020, 2020
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Global vegetation models are important tools in estimating the impacts of global climate change. The fate of soil carbon is of the upmost importance as its emissions will enhance the atmospheric carbon dioxide concentration. To evaluate the skill of global vegetation models to model the soil carbon and its responses to environmental factors, it is important to use different data sources. We evaluated two different soil carbon models by using atmospheric carbon dioxide concentrations.
Jeanne Rezsöhazy, Hugues Goosse, Joël Guiot, Fabio Gennaretti, Etienne Boucher, Frédéric André, and Mathieu Jonard
Clim. Past, 16, 1043–1059, https://doi.org/10.5194/cp-16-1043-2020, https://doi.org/10.5194/cp-16-1043-2020, 2020
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Tree rings are the main data source for climate reconstructions over the last millennium. Statistical tree-growth models have limitations that process-based models could overcome. Here, we investigate the possibility of using a process-based ecophysiological model (MAIDEN) as a complex proxy system model for palaeoclimate applications. We show its ability to simulate tree-growth index time series that can fit robustly tree-ring width observations under certain conditions.
Louis de Wergifosse, Frédéric André, Nicolas Beudez, François de Coligny, Hugues Goosse, François Jonard, Quentin Ponette, Hugues Titeux, Caroline Vincke, and Mathieu Jonard
Geosci. Model Dev., 13, 1459–1498, https://doi.org/10.5194/gmd-13-1459-2020, https://doi.org/10.5194/gmd-13-1459-2020, 2020
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Given their key role in the simulation of climate impacts on tree growth, phenological and water balance processes must be integrated in models simulating forest dynamics under a changing environment. Here, we describe these processes integrated in HETEROFOR, a model accounting simultaneously for the functional, structural and spatial complexity to explore the forest response to forestry practices. The model evaluation using phenological and soil water content observations is quite promising.
Mathieu Jonard, Frédéric André, François de Coligny, Louis de Wergifosse, Nicolas Beudez, Hendrik Davi, Gauthier Ligot, Quentin Ponette, and Caroline Vincke
Geosci. Model Dev., 13, 905–935, https://doi.org/10.5194/gmd-13-905-2020, https://doi.org/10.5194/gmd-13-905-2020, 2020
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To explore the forest response to new forestry practices under a changing environment, one needs models combining a process-based approach with a detailed spatial representation, which is very rare. We decided to develop our own model according to a spatially explicit approach describing individual tree growth based on resource sharing (light, water and nutrients). A first evaluation showed that HETEROFOR predicts well individual radial growth and is able to reproduce size–growth relationships.
Pierre Barré, Denis A. Angers, Isabelle Basile-Doelsch, Antonio Bispo, Lauric Cécillon, Claire Chenu, Tiphaine Chevallier, Delphine Derrien, Thomas K. Eglin, and Sylvain Pellerin
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-395, https://doi.org/10.5194/bg-2017-395, 2017
Manuscript not accepted for further review
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Soil C storage is currently discussed at a high political level. This paper discusses whether the concept of soil C saturation deficit can be appropriate to determine quantitatively the soil C storage potential and contribute to answer operational questions raised by policy makers. After a review of the literature, we conclude that for practical and conceptual reasons, the C saturation deficit is not appropriate for assessing quantitatively the soil total OC storage potential.
Marta Camino-Serrano, Elisabeth Graf Pannatier, Sara Vicca, Sebastiaan Luyssaert, Mathieu Jonard, Philippe Ciais, Bertrand Guenet, Bert Gielen, Josep Peñuelas, Jordi Sardans, Peter Waldner, Sophia Etzold, Guia Cecchini, Nicholas Clarke, Zoran Galić, Laure Gandois, Karin Hansen, Jim Johnson, Uwe Klinck, Zora Lachmanová, Antti-Jussi Lindroos, Henning Meesenburg, Tiina M. Nieminen, Tanja G. M. Sanders, Kasia Sawicka, Walter Seidling, Anne Thimonier, Elena Vanguelova, Arne Verstraeten, Lars Vesterdal, and Ivan A. Janssens
Biogeosciences, 13, 5567–5585, https://doi.org/10.5194/bg-13-5567-2016, https://doi.org/10.5194/bg-13-5567-2016, 2016
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We investigated the long-term trends of dissolved organic carbon (DOC) in soil solution and the drivers of changes in over 100 forest monitoring plots across Europe. An overall increasing trend was detected in the organic layers, but no overall trend was found in the mineral horizons. There are strong interactions between controls acting at local and regional scales. Our findings are relevant for researchers focusing on the link between terrestrial and aquatic ecosystems and for C-cycle models.
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Soils store organic carbon composed of multiple compounds from plants and microbes for different lengths of time. To understand how soils store these different carbon types, we measure the time each carbon fraction is in a grassland soil profile. Our results show that the length of time each individual soil fraction is in our soil changes. Our approach allows a detailed look at the different components in soils. This study can help improve our understanding of soil dynamics.
Jet Rijnders, Arthur Vienne, and Sara Vicca
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A mesocosm experiment was set-up to investigate how maize responds to basalt, concrete fines and steel slags application, using a dose-response approach. Biomass increased with basalt application, but did not change with concrete fines or steel slags, except for increased tassel biomass. Mg, Ca and Si generally increased in the crops, while heavy metal concentrations remained unaffected or even decreased in the plants. Overall, crops were positively affected by application of silicate materials.
Peter Levy, Laura Bentley, Peter Danks, Bridget Emmett, Angus Garbutt, Stephen Heming, Peter Henrys, Aidan Keith, Inma Lebron, Niall McNamara, Richard Pywell, John Redhead, David Robinson, and Alexander Wickenden
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Marija Stojanova, Pierre Arbelet, François Baudin, Nicolas Bouton, Giovanni Caria, Lorenza Pacini, Nicolas Proix, Edouard Quibel, Achille Thin, and Pierre Barré
Biogeosciences, 21, 4229–4237, https://doi.org/10.5194/bg-21-4229-2024, https://doi.org/10.5194/bg-21-4229-2024, 2024
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Because of its importance for climate regulation and soil health, many studies focus on carbon dynamics in soils. However, quantifying organic and inorganic carbon remains an issue in carbonated soils. In this technical note, we propose a validated correction method to quantify organic and inorganic carbon in soils using Rock-Eval® thermal analysis. With this correction, the Rock-Eval® method has the potential to become the standard method for quantifying carbon in carbonate soils.
Claude Raoul Müller, Johan Six, Daniel Mugendi Njiru, Bernard Vanlauwe, and Marijn Van de Broek
EGUsphere, https://doi.org/10.5194/egusphere-2024-2796, https://doi.org/10.5194/egusphere-2024-2796, 2024
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We studied how different organic and inorganic nutrient inputs affect soil organic carbon (SOC) down to 70 cm in Kenya. After 19 years, all organic treatments increased SOC stocks as compared to the control, but mineral nitrogen had no significant effect. Manure was the organic treatment that significantly increased SOC the deepest as its effect could be observed down to 60 cm. Manure was the best strategy to limit SOC loss in croplands and maintain soil quality after deforestation.
Frank Hagedorn, Joesphine Imboden, Pavel Moiseev, Decai Gao, Emmanuel Frossard, Daniel Christen, Konstantin Gavazov, and Jasmin Fetzer
EGUsphere, https://doi.org/10.5194/egusphere-2024-2622, https://doi.org/10.5194/egusphere-2024-2622, 2024
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At treeline, plant species change abruptly from low stature plants in tundra to trees in forests. Our study documents that from tundra towards forest, the litter layer gets strongly enriched in nutrients. We show that these litter quality changes alter nutrient processing by soil microbes and increase the nutrient release during decomposition in forest than in tundra. The associated improvement of nutrient availability in the forest potentially stimulates tree growth and treeline shifts.
Armando Molina, Veerle Vanacker, Oliver Chadwick, Santiago Zhiminaicela, Marife Corre, and Edzo Veldkamp
Biogeosciences, 21, 3075–3091, https://doi.org/10.5194/bg-21-3075-2024, https://doi.org/10.5194/bg-21-3075-2024, 2024
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The tropical Andes contains unique landscapes where forest patches are surrounded by tussock grasses and cushion-forming plants. The aboveground vegetation composition informs us about belowground nutrient availability: patterns in plant-available nutrients resulted from strong biocycling of cations and removal of soil nutrients by plant uptake or leaching. Future changes in vegetation distribution will affect soil water and solute fluxes and the aquatic ecology of Andean rivers and lakes.
Sahiti Bulusu, Cristina Prieto García, Helen E. Dahlke, and Elad Levintal
Biogeosciences, 21, 3007–3013, https://doi.org/10.5194/bg-21-3007-2024, https://doi.org/10.5194/bg-21-3007-2024, 2024
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Do-it-yourself hardware is a new way to improve measurement resolution. We present a low-cost, automated system for field measurements of low nitrate concentrations in soil porewater and open water bodies. All data hardware components cost USD 1100, which is much cheaper than other available commercial solutions. We provide the complete building guide to reduce technical barriers, which we hope will allow easier reproducibility and set up new soil and environmental monitoring applications.
Xuemei Yang, Jie Zhang, Khan M. G. Mostofa, Mohammad Mohinuzzaman, H. Henry Teng, Nicola Senesi, Giorgio S. Senesi, Jie Yuan, Yu Liu, Si-Liang Li, Xiaodong Li, Baoli Wang, and Cong-Qiang Liu
EGUsphere, https://doi.org/10.5194/egusphere-2023-2994, https://doi.org/10.5194/egusphere-2023-2994, 2024
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The solubility characteristics of soil humic acids (HA), fulvic acids (FA), and protein-like substances (PLS) at different pH values remain uncertain. The key findings includes: HA solubility increases with increasing pH and decreases with decreasing pH; HApH6 and HApH1 contribute to 39.1–49.2 % and 3.1–24.1 % of total DOM, respectively; and HApH2, FA, and PLS are highly soluble at acidic pH values and are transported by ambient water. These issues are vital for sustainable soil management.
Violeta Mendoza-Martinez, Scott L. Collins, and Jennie R. McLaren
Biogeosciences, 21, 2655–2667, https://doi.org/10.5194/bg-21-2655-2024, https://doi.org/10.5194/bg-21-2655-2024, 2024
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We examine the impacts of multi-decadal nitrogen additions on a dryland ecosystem N budget, including the soil, microbial, and plant N pools. After 26 years, there appears to be little impact on the soil microbial or plant community and only minimal increases in N pools within the soil. While perhaps encouraging from a conservation standpoint, we calculate that greater than 95 % of the nitrogen added to the system is not retained and is instead either lost deeper in the soil or emitted as gas.
Sean Fettrow, Andrew Wozniak, Holly A. Michael, and Angelia L. Seyfferth
Biogeosciences, 21, 2367–2384, https://doi.org/10.5194/bg-21-2367-2024, https://doi.org/10.5194/bg-21-2367-2024, 2024
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Salt marshes play a big role in global carbon (C) storage, and C stock estimates are used to predict future changes. However, spatial and temporal gradients in C burial rates over the landscape exist due to variations in water inundation, dominant plant species and stage of growth, and tidal action. We quantified soil C concentrations in soil cores across time and space beside several porewater biogeochemical variables and discussed the controls on variability in soil C in salt marsh ecosystems.
Lukas Kohl, Petri Kiuru, Marjo Palviainen, Maarit Raivonen, Markku Koskinen, Mari Pihlatie, and Annamari Lauren
EGUsphere, https://doi.org/10.5194/egusphere-2024-1280, https://doi.org/10.5194/egusphere-2024-1280, 2024
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We present an assay to illuminate heterogeneity of biogeochemical transformations within peat samples. For this, we injected isotope labelled acetate into peat cores and monitoring the release of label-derived gases, which we compared to microtomography images. The fraction of label converted to CO2 and the rapidness of this conversion was linked to injection depth as well as air-filled porosity. Pore network metric did not provide predictive power over compared to porosity alone.
Andrés Tangarife-Escobar, Georg Guggenberger, Xiaojuan Feng, Guohua Dai, Carolina Urbina-Malo, Mina Azizi-Rad, and Carlos A. Sierra
Biogeosciences, 21, 1277–1299, https://doi.org/10.5194/bg-21-1277-2024, https://doi.org/10.5194/bg-21-1277-2024, 2024
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Soil organic matter stability depends on future temperature and precipitation scenarios. We used radiocarbon (14C) data and model predictions to understand how the transit time of carbon varies under environmental change in grasslands and peatlands. Soil moisture affected the Δ14C of peatlands, while temperature did not have any influence. Our models show the correspondence between Δ14C and transit time and could allow understanding future interactions between terrestrial and atmospheric carbon
Emiko K. Stuart, Laura Castañeda-Gómez, Wolfram Buss, Jeff R. Powell, and Yolima Carrillo
Biogeosciences, 21, 1037–1059, https://doi.org/10.5194/bg-21-1037-2024, https://doi.org/10.5194/bg-21-1037-2024, 2024
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We inoculated wheat plants with various types of fungi whose impacts on soil carbon are poorly understood. After several months of growth, we examined both their impacts on soil carbon and the underlying mechanisms using multiple methods. Overall the fungi benefitted the storage of carbon in soil, mainly by improving the stability of pre-existing carbon, but several pathways were involved. This study demonstrates their importance for soil carbon storage and, therefore, climate change mitigation.
Marleen Pallandt, Marion Schrumpf, Holger Lange, Markus Reichstein, Lin Yu, and Bernhard Ahrens
EGUsphere, https://doi.org/10.5194/egusphere-2024-186, https://doi.org/10.5194/egusphere-2024-186, 2024
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As soils get warmer due to climate change, SOC decomposes faster because of higher microbial activity, but only with sufficient soil moisture. We modelled how microbes decompose plant litter and microbial residues at different soil depths. We found that deep soil layers are more sensitive than topsoils. SOC is lost from the soil with warming, but this can be mitigated or worsened depending on the type of litter and its sensitivity to temperature. Droughts can reduce warming-induced SOC losses.
Huimin Sun, Michael W. I. Schmidt, Jintao Li, Jinquan Li, Xiang Liu, Nicholas O. E. Ofiti, Shurong Zhou, and Ming Nie
Biogeosciences, 21, 575–589, https://doi.org/10.5194/bg-21-575-2024, https://doi.org/10.5194/bg-21-575-2024, 2024
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A soil organic carbon (SOC) molecular structure suggested that the easily decomposable and stabilized SOC is similarly affected after 9-year warming and N treatments despite large changes in SOC stocks. Given the long residence time of some SOC, the similar loss of all measurable chemical forms of SOC under global change treatments could have important climate consequences.
Haoli Zhang, Doudou Chang, Zhifeng Zhu, Chunmei Meng, and Kaiyong Wang
Biogeosciences, 21, 1–11, https://doi.org/10.5194/bg-21-1-2024, https://doi.org/10.5194/bg-21-1-2024, 2024
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Soil salinity mediates microorganisms and soil processes like soil organic carbon (SOC) cycling. We observed that negative priming effects at the early stages might be due to the preferential utilization of cottonseed meal. The positive priming that followed decreased with the increase in salinity.
Joséphine Hazera, David Sebag, Isabelle Kowalewski, Eric Verrecchia, Herman Ravelojaona, and Tiphaine Chevallier
Biogeosciences, 20, 5229–5242, https://doi.org/10.5194/bg-20-5229-2023, https://doi.org/10.5194/bg-20-5229-2023, 2023
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This study adapts the Rock-Eval® protocol to quantify soil organic carbon (SOC) and soil inorganic carbon (SIC) on a non-pretreated soil aliquot. The standard protocol properly estimates SOC contents once the TOC parameter is corrected. However, it cannot complete the thermal breakdown of SIC amounts > 4 mg, leading to an underestimation of high SIC contents by the MinC parameter, even after correcting for this. Thus, the final oxidation isotherm is extended to 7 min to quantify any SIC amount.
Bo Zhao, Amin Dou, Zhiwei Zhang, Zhenyu Chen, Wenbo Sun, Yanli Feng, Xiaojuan Wang, and Qiang Wang
Biogeosciences, 20, 4761–4774, https://doi.org/10.5194/bg-20-4761-2023, https://doi.org/10.5194/bg-20-4761-2023, 2023
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This study provided a comprehensive analysis of the spatial variability and determinants of Fe-bound organic carbon (Fe-OC) among terrestrial, wetland, and marine ecosystems and its governing factors globally. We illustrated that reactive Fe was not only an important sequestration mechanism for OC in terrestrial ecosystems but also an effective “rusty sink” of OC preservation in wetland and marine ecosystems, i.e., a key factor for long-term OC storage in global ecosystems.
Han Sun, Tomoyasu Nishizawa, Hiroyuki Ohta, and Kazuhiko Narisawa
Biogeosciences, 20, 4737–4749, https://doi.org/10.5194/bg-20-4737-2023, https://doi.org/10.5194/bg-20-4737-2023, 2023
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In this research, we assessed the diversity and function of the dark septate endophytic (DSE) fungi community associated with Miscanthus condensatus root in volcanic ecosystems. Both metabarcoding and isolation were adopted in this study. We further validated effects on plant growth by inoculation of some core DSE isolates. This study helps improve our understanding of the role of Miscanthus condensatus-associated DSE fungi during the restoration of post-volcanic ecosystems.
Xianjin He, Laurent Augusto, Daniel S. Goll, Bruno Ringeval, Ying-Ping Wang, Julian Helfenstein, Yuanyuan Huang, and Enqing Hou
Biogeosciences, 20, 4147–4163, https://doi.org/10.5194/bg-20-4147-2023, https://doi.org/10.5194/bg-20-4147-2023, 2023
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We identified total soil P concentration as the most important predictor of all soil P pool concentrations, except for primary mineral P concentration, which is primarily controlled by soil pH and only secondarily by total soil P concentration. We predicted soil P pools’ distributions in natural systems, which can inform assessments of the role of natural P availability for ecosystem productivity, climate change mitigation, and the functioning of the Earth system.
Imane Slimani, Xia Zhu-Barker, Patricia Lazicki, and William Horwath
Biogeosciences, 20, 3873–3894, https://doi.org/10.5194/bg-20-3873-2023, https://doi.org/10.5194/bg-20-3873-2023, 2023
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There is a strong link between nitrogen availability and iron minerals in soils. These minerals have multiple outcomes for nitrogen availability depending on soil conditions and properties. For example, iron can limit microbial degradation of nitrogen in aerated soils but has opposing outcomes in non-aerated soils. This paper focuses on the multiple ways iron can affect nitrogen bioavailability in soils.
Shane W. Stoner, Marion Schrumpf, Alison Hoyt, Carlos A. Sierra, Sebastian Doetterl, Valier Galy, and Susan Trumbore
Biogeosciences, 20, 3151–3163, https://doi.org/10.5194/bg-20-3151-2023, https://doi.org/10.5194/bg-20-3151-2023, 2023
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Soils store more carbon (C) than any other terrestrial C reservoir, but the processes that control how much C stays in soil, and for how long, are very complex. Here, we used a recent method that involves heating soil in the lab to measure the range of C ages in soil. We found that most C in soil is decades to centuries old, while some stays for much shorter times (days to months), and some is thousands of years old. Such detail helps us to estimate how soil C may react to changing climate.
Adetunji Alex Adekanmbi, Laurence Dale, Liz Shaw, and Tom Sizmur
Biogeosciences, 20, 2207–2219, https://doi.org/10.5194/bg-20-2207-2023, https://doi.org/10.5194/bg-20-2207-2023, 2023
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The decomposition of soil organic matter and flux of carbon dioxide are expected to increase as temperatures rise. However, soil organic matter decomposition is a two-step process whereby large molecules are first broken down outside microbial cells and then respired within microbial cells. We show here that these two steps are not equally sensitive to increases in soil temperature and that global warming may cause a shift in the rate-limiting step from outside to inside the microbial cell.
Mercedes Román Dobarco, Alexandre M. J-C. Wadoux, Brendan Malone, Budiman Minasny, Alex B. McBratney, and Ross Searle
Biogeosciences, 20, 1559–1586, https://doi.org/10.5194/bg-20-1559-2023, https://doi.org/10.5194/bg-20-1559-2023, 2023
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Soil organic carbon (SOC) is of a heterogeneous nature and varies in chemistry, stabilisation mechanisms, and persistence in soil. In this study we mapped the stocks of SOC fractions with different characteristics and turnover rates (presumably PyOC >= MAOC > POC) across Australia, combining spectroscopy and digital soil mapping. The SOC stocks (0–30 cm) were estimated as 13 Pg MAOC, 2 Pg POC, and 5 Pg PyOC.
Frederick Büks
Biogeosciences, 20, 1529–1535, https://doi.org/10.5194/bg-20-1529-2023, https://doi.org/10.5194/bg-20-1529-2023, 2023
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Ultrasonication with density fractionation of soils is a commonly used method to separate soil organic matter pools, which is, e.g., important to calculate carbon turnover in landscapes. It is shown that the approach that merges soil and dense solution without mixing has a low recovery rate and causes co-extraction of parts of the retained labile pool along with the intermediate pool. An alternative method with high recovery rates and no cross-contamination was recommended.
Tino Peplau, Christopher Poeplau, Edward Gregorich, and Julia Schroeder
Biogeosciences, 20, 1063–1074, https://doi.org/10.5194/bg-20-1063-2023, https://doi.org/10.5194/bg-20-1063-2023, 2023
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We buried tea bags and temperature loggers in a paired-plot design in soils under forest and agricultural land and retrieved them after 2 years to quantify the effect of land-use change on soil temperature and litter decomposition in subarctic agricultural systems. We could show that agricultural soils were on average 2 °C warmer than forests and that litter decomposition was enhanced. The results imply that deforestation amplifies effects of climate change on soil organic matter dynamics.
Joseph Okello, Marijn Bauters, Hans Verbeeck, Samuel Bodé, John Kasenene, Astrid Françoys, Till Engelhardt, Klaus Butterbach-Bahl, Ralf Kiese, and Pascal Boeckx
Biogeosciences, 20, 719–735, https://doi.org/10.5194/bg-20-719-2023, https://doi.org/10.5194/bg-20-719-2023, 2023
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The increase in global and regional temperatures has the potential to drive accelerated soil organic carbon losses in tropical forests. We simulated climate warming by translocating intact soil cores from higher to lower elevations. The results revealed increasing temperature sensitivity and decreasing losses of soil organic carbon with increasing elevation. Our results suggest that climate warming may trigger enhanced losses of soil organic carbon from tropical montane forests.
Johanna Pihlblad, Louise C. Andresen, Catriona A. Macdonald, David S. Ellsworth, and Yolima Carrillo
Biogeosciences, 20, 505–521, https://doi.org/10.5194/bg-20-505-2023, https://doi.org/10.5194/bg-20-505-2023, 2023
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Elevated CO2 in the atmosphere increases forest biomass productivity when growth is not limited by soil nutrients. This study explores how mature trees stimulate soil availability of nitrogen and phosphorus with free-air carbon dioxide enrichment after 5 years of fumigation. We found that both nutrient availability and processes feeding available pools increased in the rhizosphere, and phosphorus increased at depth. This appears to not be by decomposition but by faster recycling of nutrients.
Rodrigo Vargas and Van Huong Le
Biogeosciences, 20, 15–26, https://doi.org/10.5194/bg-20-15-2023, https://doi.org/10.5194/bg-20-15-2023, 2023
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Quantifying the role of soils in nature-based solutions requires accurate estimates of soil greenhouse gas (GHG) fluxes. We suggest that multiple GHG fluxes should not be simultaneously measured at a few fixed time intervals, but an optimized sampling approach can reduce bias and uncertainty. Our results have implications for assessing GHG fluxes from soils and a better understanding of the role of soils in nature-based solutions.
Kristine Karstens, Benjamin Leon Bodirsky, Jan Philipp Dietrich, Marta Dondini, Jens Heinke, Matthias Kuhnert, Christoph Müller, Susanne Rolinski, Pete Smith, Isabelle Weindl, Hermann Lotze-Campen, and Alexander Popp
Biogeosciences, 19, 5125–5149, https://doi.org/10.5194/bg-19-5125-2022, https://doi.org/10.5194/bg-19-5125-2022, 2022
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Soil organic carbon (SOC) has been depleted by anthropogenic land cover change and agricultural management. While SOC models often simulate detailed biochemical processes, the management decisions are still little investigated at the global scale. We estimate that soils have lost around 26 GtC relative to a counterfactual natural state in 1975. Yet, since 1975, SOC has been increasing again by 4 GtC due to a higher productivity, recycling of crop residues and manure, and no-tillage practices.
Petri Kiuru, Marjo Palviainen, Arianna Marchionne, Tiia Grönholm, Maarit Raivonen, Lukas Kohl, and Annamari Laurén
Biogeosciences, 19, 5041–5058, https://doi.org/10.5194/bg-19-5041-2022, https://doi.org/10.5194/bg-19-5041-2022, 2022
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Peatlands are large carbon stocks. Emissions of carbon dioxide and methane from peatlands may increase due to changes in management and climate. We studied the variation in the gas diffusivity of peat with depth using pore network simulations and laboratory experiments. Gas diffusivity was found to be lower in deeper peat with smaller pores and lower pore connectivity. However, gas diffusivity was not extremely low in wet conditions, which may reflect the distinctive structure of peat.
Rachael Akinyede, Martin Taubert, Marion Schrumpf, Susan Trumbore, and Kirsten Küsel
Biogeosciences, 19, 4011–4028, https://doi.org/10.5194/bg-19-4011-2022, https://doi.org/10.5194/bg-19-4011-2022, 2022
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Soils will likely become warmer in the future, and this can increase the release of carbon dioxide (CO2) into the atmosphere. As microbes can take up soil CO2 and prevent further escape into the atmosphere, this study compares the rate of uptake and release of CO2 at two different temperatures. With warming, the rate of CO2 uptake increases less than the rate of release, indicating that the capacity to modulate soil CO2 release into the atmosphere will decrease under future warming.
Giuseppe Cipolla, Salvatore Calabrese, Amilcare Porporato, and Leonardo V. Noto
Biogeosciences, 19, 3877–3896, https://doi.org/10.5194/bg-19-3877-2022, https://doi.org/10.5194/bg-19-3877-2022, 2022
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Enhanced weathering (EW) is a promising strategy for carbon sequestration. Since models may help to characterize field EW, the present work applies a hydro-biogeochemical model to four case studies characterized by different rainfall seasonality, vegetation and soil type. Rainfall seasonality strongly affects EW dynamics, but low carbon sequestration suggests that an in-depth analysis at the global scale is required to see if EW may be effective to mitigate climate change.
Vao Fenotiana Razanamahandry, Marjolein Dewaele, Gerard Govers, Liesa Brosens, Benjamin Campforts, Liesbet Jacobs, Tantely Razafimbelo, Tovonarivo Rafolisy, and Steven Bouillon
Biogeosciences, 19, 3825–3841, https://doi.org/10.5194/bg-19-3825-2022, https://doi.org/10.5194/bg-19-3825-2022, 2022
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In order to shed light on possible past vegetation shifts in the Central Highlands of Madagascar, we measured stable isotope ratios of organic carbon in soil profiles along both forested and grassland hillslope transects in the Lake Alaotra region. Our results show that the landscape of this region was more forested in the past: soils in the C4-dominated grasslands contained a substantial fraction of C3-derived carbon, increasing with depth.
Katherine E. O. Todd-Brown, Rose Z. Abramoff, Jeffrey Beem-Miller, Hava K. Blair, Stevan Earl, Kristen J. Frederick, Daniel R. Fuka, Mario Guevara Santamaria, Jennifer W. Harden, Katherine Heckman, Lillian J. Heran, James R. Holmquist, Alison M. Hoyt, David H. Klinges, David S. LeBauer, Avni Malhotra, Shelby C. McClelland, Lucas E. Nave, Katherine S. Rocci, Sean M. Schaeffer, Shane Stoner, Natasja van Gestel, Sophie F. von Fromm, and Marisa L. Younger
Biogeosciences, 19, 3505–3522, https://doi.org/10.5194/bg-19-3505-2022, https://doi.org/10.5194/bg-19-3505-2022, 2022
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Research data are becoming increasingly available online with tantalizing possibilities for reanalysis. However harmonizing data from different sources remains challenging. Using the soils community as an example, we walked through the various strategies that researchers currently use to integrate datasets for reanalysis. We find that manual data transcription is still extremely common and that there is a critical need for community-supported informatics tools like vocabularies and ontologies.
Alessandro Montemagno, Christophe Hissler, Victor Bense, Adriaan J. Teuling, Johanna Ziebel, and Laurent Pfister
Biogeosciences, 19, 3111–3129, https://doi.org/10.5194/bg-19-3111-2022, https://doi.org/10.5194/bg-19-3111-2022, 2022
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We investigated the biogeochemical processes that dominate the release and retention of elements (nutrients and potentially toxic elements) during litter degradation. Our results show that toxic elements are retained in the litter, while nutrients are released in solution during the first stages of degradation. This seems linked to the capability of trees to distribute the elements between degradation-resistant and non-degradation-resistant compounds of leaves according to their chemical nature.
Laura Sereni, Bertrand Guenet, Charlotte Blasi, Olivier Crouzet, Jean-Christophe Lata, and Isabelle Lamy
Biogeosciences, 19, 2953–2968, https://doi.org/10.5194/bg-19-2953-2022, https://doi.org/10.5194/bg-19-2953-2022, 2022
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This study focused on the modellisation of two important drivers of soil greenhouse gas emissions: soil contamination and soil moisture change. The aim was to include a Cu function in the soil biogeochemical model DNDC for different soil moisture conditions and then to estimate variation in N2O, NO2 or NOx emissions. Our results show a larger effect of Cu on N2 and N2O emissions than on the other nitrogen species and a higher effect for the soils incubated under constant constant moisture.
Marie Spohn and Johan Stendahl
Biogeosciences, 19, 2171–2186, https://doi.org/10.5194/bg-19-2171-2022, https://doi.org/10.5194/bg-19-2171-2022, 2022
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We explored the ratios of carbon (C), nitrogen (N), and phosphorus (P) of organic matter in Swedish forest soils. The N : P ratio of the organic layer was most strongly related to the mean annual temperature, while the C : N ratios of the organic layer and mineral soil were strongly related to tree species even in the subsoil. The organic P concentration in the mineral soil was strongly affected by soil texture, which diminished the effect of tree species on the C to organic P (C : OP) ratio.
Moritz Mainka, Laura Summerauer, Daniel Wasner, Gina Garland, Marco Griepentrog, Asmeret Asefaw Berhe, and Sebastian Doetterl
Biogeosciences, 19, 1675–1689, https://doi.org/10.5194/bg-19-1675-2022, https://doi.org/10.5194/bg-19-1675-2022, 2022
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The largest share of terrestrial carbon is stored in soils, making them highly relevant as regards global change. Yet, the mechanisms governing soil carbon stabilization are not well understood. The present study contributes to a better understanding of these processes. We show that qualitative changes in soil organic matter (SOM) co-vary with alterations of the soil matrix following soil weathering. Hence, the type of SOM that is stabilized in soils might change as soils develop.
Jasmin Fetzer, Emmanuel Frossard, Klaus Kaiser, and Frank Hagedorn
Biogeosciences, 19, 1527–1546, https://doi.org/10.5194/bg-19-1527-2022, https://doi.org/10.5194/bg-19-1527-2022, 2022
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As leaching is a major pathway of nitrogen and phosphorus loss in forest soils, we investigated several potential drivers in two contrasting beech forests. The composition of leachates, obtained by zero-tension lysimeters, varied by season, and climatic extremes influenced the magnitude of leaching. Effects of nitrogen and phosphorus fertilization varied with soil nutrient status and sorption properties, and leaching from the low-nutrient soil was more sensitive to environmental factors.
Karis J. McFarlane, Heather M. Throckmorton, Jeffrey M. Heikoop, Brent D. Newman, Alexandra L. Hedgpeth, Marisa N. Repasch, Thomas P. Guilderson, and Cathy J. Wilson
Biogeosciences, 19, 1211–1223, https://doi.org/10.5194/bg-19-1211-2022, https://doi.org/10.5194/bg-19-1211-2022, 2022
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Planetary warming is increasing seasonal thaw of permafrost, making this extensive old carbon stock vulnerable. In northern Alaska, we found more and older dissolved organic carbon in small drainages later in summer as more permafrost was exposed by deepening thaw. Younger and older carbon did not differ in chemical indicators related to biological lability suggesting this carbon can cycle through aquatic systems and contribute to greenhouse gas emissions as warming increases permafrost thaw.
Cited articles
Aber, J. D., Melillo, J. M., and McClaugherty, C. A.: Predicting long-term
patterns of mass loss, nitrogen dynamics, and soil organic matter formation
from initial fine litter chemistry in temperate forest ecosystems, Can. J.
Bot., 68, 2201–2208, https://doi.org/10.1139/b90-287, 1990.
Aulen, M., Shipley, B., and Bradley, R.: Prediction of in situ root
decomposition rates in an interspecific context from chemical and
morphological traits, Ann. Bot.-London, 109, 287–297,
https://doi.org/10.1093/aob/mcr259, 2011.
Balesdent, J., Basile-Doelsch, I., Chadoeuf, J., Cornu, S., Derrien, D.,
Fekiacova, Z., and Hatté, C.: Atmosphere–soil carbon transfer as a
function of soil depth, Nature, 559, 599–602, https://doi.org/10.1038/s41586-018-0328-3,
2018.
Beare, M., McNeill, S., Curtin, D., Parfitt, R., Jones, H., Dodd, M., and
Sharp, J: Estimating the organic carbon stabilisation capacity and saturation
deficit of soils: a New Zealand case study, Biogeochemistry, 120, 71–87,
https://doi.org/10.1007/s10533-014-9982-1, 2014.
Berg, B. and McClaugherty, C.: Plant litter: decomposition, humus formation,
carbon sequestration, 2nd Edn., Springer-Verlag Heidelberg Berlin, 286 pp.,
https://doi.org/10.5860/choice.51-6172, 2008.
Brunner, I., Bakker, M. R., Björk, R. G., Hirano, Y., Lukac, M., Aranda,
X., Børja, I., Eldhuset, T. D., Helmisaari, H. S., Jourdan, C.,
Konôpka, B., López, B. C., Miguel Pérez, C., Persson, H., and
Ostonen, I.: Fine-root turnover rates of European forests revisited: an
analysis of data from sequential coring and ingrowth cores, Plant Soil, 362,
357–372, https://doi.org/10.1007/s11104-012-1313-5, 2013.
Burns, R. G., DeForest, J. L., Marxsen, J., Sinsabaugh, R. L., Stromberger,
M. E., Wallenstein, M. D., Weintraub, M. N., and Zoppini, A.: Soil enzymes in
a changing environment: current knowledge and future directions, Soil Biol.
Biochem., 58, 216–234, https://doi.org/10.1016/j.soilbio.2012.11.009, 2013.
Carvalhais, N., Reichstein, M., Seixas, J., Collatz, G. J., Pereira, J. S.,
Berbigier, P., Carrara, A., Granier, A., Montagnani, L., Papale, D., and
Rambal, S.: Implications of the carbon cycle steady state assumption for
biogeochemical modeling performance and inverse parameter retrieval, Global
Biogeochem. Cy., 22, GB2007, https://doi.org/10.1029/2007gb003033, 2008.
Carvalhais, N., Reichstein, M., Ciais, P., Collatz, G.J., Mahecha, M.D.,
Montagnani, L., Papale, D., Rambal, S., and Seixas, J.: Identification of
vegetation and soil carbon pools out of equilibrium in a process model via
eddy covariance and biometric constraints, Glob. Change Biol., 16,
2813–2829, https://doi.org/10.1111/j.1365-2486.2010.02173.x, 2010.
Chertov, O. G., Komarov, A. S., Nadporozhskaya, M., Bykhovets, S. S., and
Zudin, S. L.: ROMUL – a model of forest soil organic matter dynamics as a
substantial tool for forest ecosystem modeling, Ecol. Model., 138, 289–308,
https://doi.org/10.1016/s0304-3800(00)00409-9, 2001.
Coleman, K. and Jenkinson, D. S.: RothC-26.3 – A Model for the turnover of
carbon in soil, in: Evaluation of Soil organic matter models, Using Existing
Long-Term Datasets, edited by: Powlson, D. S., Smith, P., and Smith, J. U.,
Springer-Verlag, Heidelberg, 237–246, https://doi.org/10.1007/978-3-642-61094-3_17,
1996.
Didion, M., Frey, B., Rogiers, N., and Thürig, E.: Validating tree litter
decomposition in the Yasso07 carbon model, Ecol. Model., 291, 58–68,
https://doi.org/10.1016/j.ecolmodel.2014.07.028, 2014.
Didion, M., Blujdea, V., Grassi, G., Hernández, L., Jandl, R., Kriiska,
K., Lehtonen, A., and, Saint-André, L.: Models for reporting forest
litter and soil C pools in national greenhouse gas inventories:
methodological considerations and requirements, Carbon Manag., 7, 1–14,
https://doi.org/10.1080/17583004.2016.1166457, 2016.
Didion, M., Baume, M., Giudici, F., and Schneuwly, J.: Herb layer biomass in
Swiss forests. 53 pages. Swiss Federal Research Institute WSL, Biirmensdorf
(ZH), https://doi.org/10.16904/envidat.52, 2018.
Dignac, M. F., Derrien, D., Barré, P., Barot, S., Cécillon, L.,
Chenu, C., Chevallier, T., Freschet, G. T., Garnier, P., Guenet, B., and
Hedde, M: Increasing soil carbon storage: mechanisms, effects of agricultural
practices and proxies, A review, Agron. Sustain. Dev., 37, 14,
https://doi.org/10.1007/s13593-017-0421-2, 2017.
Fox, J. and Weisberg, S.: Nonparametric Regression in R: An Appendix to An R
Companion to Applied Regression, 3rd Edn., Sage, Thousand Oaks, CA, 17 pp.,
2019.
Freschet, G. T., Cornwell, W. K., Wardle, D. A., Elumeeva, T. G., Liu, W.,
Jackson, B. G., Onipchenko, V. G., Soudzilovskaia, N. A., Tao, J., and
Cornelissen, J. H. C.: Linking litter decomposition of above and below ground
organs to plant–soil feedbacks worldwide, J. Ecol., 101, 943–952,
https://doi.org/10.1111/1365-2745.12092, 2013.
Guo, D. L., Mitchell, R. J., and Hendricks, J. J.: Fine root branch orders
respond differentially to carbon source-sink manipulations in a longleaf pine
forest, Oecologia, 140, 450–457, https://doi.org/10.1007/s00442-004-1596-1, 2004.
Hernández, L., Jandl, R., Blujdea, V. N. B., Lehtonen, A., Kriiska, K.,
Alberdi, I., Adermann, V., Cañellas, I., Marin, G., Moreno-Fernández,
D.,
Ostonen, I., Varik, M., and Didion, M.: Towards complete and harmonized
assessment of soil carbon stocks and balance in forests: The ability of the
Yasso07 model across a wide gradient of climatic and forest conditions in
Europe, Sci. Total Environ., 599/600, 1171–1180,
https://doi.org/10.1016/j.scitotenv.2017.03.298, 2017.
IPCC: Use of Models and Facility-Level Data in Greenhouse Gas Inventories
(Report of IPCC Expert Meeting on Use of Models and Measurements in
Greenhouse Gas Inventories 9–11 August 2010, Sydney, Australia), Institute
for Global Environmental Strategies (IGES), Hayama, Japan, 2011.
IPCC: Climate Change 2014: Mitigation of Climate Change, Contribution of
Working Group III to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Edenhofer, O., Pichs-Madruga, R., Sokona,
Y., Farahani, E., Kadner, S., Seyboth, K., Adler, A., Baum, I., Brunner, S.,
Eickemeier, P., Kriemann, B., Savolainen, J., Schlömer, S., von Stechow,
C., Zwickel, T., and Minx, J. C.: Cambridge University Press, Cambridge,
United Kingdom and New York, NY, USA, 2014.
Jandl, R., Rodeghiero, M., Martinez, C., Cotrufo, M. F., Bampa, F., van
Wesemael, B., Harrison, R. B., Guerrini, I. A., Richter, D. D., Rustad, L.,
Lorenz, K., Chabbi, A., and Miglietta, F.: Current status, uncertainty and
future needs in soil organic carbon monitoring, Sci. Total Environ., 468,
376–383, 2014.
Jonard, M., Nicolas, M., Coomes, D. A., Caignet, I., Saenger, A., and
Ponette, Q.: Forest soils in France are sequestering substantial amounts of
carbon, Sci. Total Environ., 574, 616–628,
https://doi.org/10.1016/j.scitotenv.2016.09.028, 2017.
Karhu, K., Wall, A., Vanhala, P., Liski, J., Esala, M., and Regina, K.:
Effects of afforestation and deforestation on boreal soil carbon stocks –
comparison of measured C stocks with Yasso07 model results, Geoderma, 164,
33–45, https://doi.org/10.1016/j.geoderma.2011.05.008, 2011.
Kelly, R. H., Parton, W. J., Crocker, G. J., Grace, P. R., Klír, J.,
Körschens, M., Poulton, P. R., and Richter, D. D.: Simulating trends in
soil organic carbon in long-term experiments using the Century model,
Geoderma, 81, 75–90, https://doi.org/10.1016/s0016-7061(97)00082-7, 1997.
Kögel-Knabner, I.: The macromolecular organic composition of plant and
microbial residues as inputs to soil organic matter, Soil Biol. Biochem., 34,
139–162, https://doi.org/10.1016/s0038-0717(01)00158-4, 2002.
Krinner, G., Viovy, N., de Noblet-Ducoudré, N., Ogée, J., Polcher,
J., Friedlingstein, P., Ciais, P., Sitch, S., and Prentice, I. C.: A dynamic
global vegetation model for studies of the couple atmosphere-biosphere
system, Global Biogeochem. Cy., 19, GB1015, https://doi.org/10.1029/2003gb002199, 2005.
Kurz, W. A., Dymond, C. C., White, T. M., Stinson, G., Shaw, C. H., Rampley,
G. J., Smyth, C., Simpson, B. N., Neilson, E. T., Trofymow, J. A., and
Metsaranta, J.: CBM-CFS3: a model of carbon-dynamics in forestry and land-use
change impdlementing IPCC standards, Ecol. Model., 220, 480–504,
https://doi.org/10.1016/j.ecolmodel.2008.10.018, 2009.
Lehmann, J. and Kleber, M.: The contentious nature of soil organic matter,
Nature, 528, 60–68, https://doi.org/10.1038/nature16069, 2015.
Lehtonen, A., Linkosalo, T., Peltoniemi, M., Sievänen, R.,
Mäkipää, R., Tamminen, P., Salemaa, M., Nieminen, T., Tupek, B.,
Heikkinen, J., and Komarov, A.: Forest soil carbon stock estimates in a
nationwide inventory: evaluating performance of the ROMULv and Yasso07 models
in Finland, Geosci. Model Dev., 9, 4169–4183, https://doi.org/10.5194/gmd-9-4169-2016,
2016.
Liski, J., Palosuo, T., Peltoniemi, M., and Sievänen, R.: Carbon and
decomposition model Yasso for forest soils, Ecol. Model., 189, 168–182,
https://doi.org/10.1016/j.ecolmodel.2005.03.005, 2005.
Litton, C. M., Ryan, M. G., Tinker, D. B., and Knight, D. H.: Belowground and
aboveground biomass in young postfire lodgepole pine forests of contrasting
tree density, Can. J. Forest Res., 33, 351–363, https://doi.org/10.1139/x02-181, 2003.
Lu, N., Akujärvi, A., Wu, X., Liski, J., Wen, Z., Holmberg, M., Feng, X.,
Zeng, Y., and Fu, B.: Changes in soil carbon stock predicted by a
process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess
Plateau, Landscape Ecol., 30, 399–413, https://doi.org/10.1007/s10980-014-0132-x, 2015.
Manzoni, S. and Porporato, A.: Soil carbon and nitrogen mineralization:
theory and models across scales, Soil Biol. Biochem., 41, 1355–1379,
https://doi.org/10.1016/j.soilbio.2009.02.031, 2009.
Metherell, A., Harding, L. A., Cole, C. V., and Parton, W. J.: Technical
Documentation Agroecosystem Version 4.0, Great Plains, System Research Unit,
USDA-ARS, Fort Collins, CO, 1993.
Mokany, K., Raison, R., and Prokushkin, A. S.: Critical analysis of root:
shoot ratios in terrestrial biomes, Glob. Change Biol., 12, 84–96,
https://doi.org/10.1111/j.1365-2486.2005.001043.x, 2006.
Muukkonen, P. and Mäkipää, R.: Empirical biomass models of
understorey vegetation in boreal forests according to stand and site
attributes, Boreal Environ. Res., 11, 355–369, 2006.
Office national des forêts: Renecofor, available:
http://www1.onf.fr/renecofor, last access: 21 April 2019.
Ortiz, C. A., Liski, J., Gärdenäs, A. I., Lehtonen, A., Lundblad, M.,
Stendahl, J., Ågren, G. I., and Karltun, E.: Soil organic carbon stock
changes in Swedish forest soils – a comparison of uncertainties and their
sources through a national inventory and two simulation models, Ecol.
Model., 251, 221–231, https://doi.org/10.1016/j.ecolmodel.2012.12.017, 2013.
Parton, W. J., Schimel, D. S., Cole, C. V., and Ojima, D. S.: Analysis of
factors controlling soil organic-matter levels in Great-Plains grasslands,
Soil Sci. Soc. Am. J., 51, 1173–1179,
https://doi.org/10.2136/sssaj1987.03615995005100050015x, 1987.
Parton, W. J., Scurlock, J. M. O., and Ojima, D. S.: Observations and
modeling of biomass and soil organic matter dynamics for the grassland biome
worldwide, Global Biogeochem. Cy., 7, 785–809, https://doi.org/10.1029/93gb02042, 1993.
Pettersen, R. C.: The chemical composition of wood, The chemistry of solid
wood, 207, 57–126, 1984.
Raich, J. W. and Nadelhoffer, K. J.: Below-ground carbon allocation in forest
ecosystems: global trends, Ecology, 70, 1346–1354, https://doi.org/10.2307/1938194,
1989.
Rantakari, M., Lehtonen, A., Linkosalo, T., Tuomi, M., Tamminen, P.,
Heikkinen, Liski J., Mäkipää R., Ilvesniemi H., and Sievänen,
R.: The Yasso07 soil carbon model–Testing against repeated soil carbon
inventory, Forest Ecol. Manag., 286, 137–147,
https://doi.org/10.1016/j.foreco.2012.08.041, 2012.
Rasmussen, C., Heckman, K., Wieder, W., Keiluweit, M., Lawrence, C., Berhe,
A., Blankinship, J., Crow, S., Druhan, J., Pries, C., Marin-Spiotta, E.,
Plante, A., Schädel, C., Schimel, J., Sierra, C., Thompson, A., and
Wagai, R.: Beyond clay: towards an improved set of variables for predicting
soil organic matter content, Biogeochemistry, Springer, Nature, 137,
297–306, https://doi.org/10.1007/s10533-018-0424-3, 2018.
Rowell, R. M. (Ed.): Handbook of wood chemistry and wood composites, CRC
press, 487 pp., https://doi.org/10.1201/b12487, 2012.
Rowell, R. M., Pettersen, R., Han, J. S., Rowell, J. S., and Tshabalala, M.
A.: Cell wall chemistry, in: Handbook of Wood Chemistry and Wood Composites,
edited by: Rowell, R. M., CRC & Taylor & Francis, Boca Raton, Fla, USA,
35–74, https://doi.org/10.1201/b12487-5, 2005.
Saby, N. P. A., Bellamy, P. H., Morvan, X., Arrouays, D., Jones, R. J. A.,
Verheijen, F. G. A., Kibblewhite, M. G., Verdoodt, A. N. N., ÜVeges, J.
B., Freudenschuß, A., and Simota, C.: Will European soil-monitoring
networks be able to detect changes in topsoil organic carbon content?, Glob.
Change Biol., 14, 2432–2442, https://doi.org/10.1111/j.1365-2486.2008.01658.x, 2008.
Schmidt, M. W. I., Torn, M. S., Abiven, S., Dittmar, T., Guggenberg, G.,
Janssens, I. A., Kleber, M., Kögel-Knabner, I., Lehmann, J., Manning, M.,
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.
Smith, W. N., Grant, B. B., Desjardins, R. L., Qian, B., Hutchinson, J., and
Gameda, S.: Potential impact of climate change on carbon in agricultural
soils in Canada 2000–2099, Climatic Change, 93, 319–333,
https://doi.org/10.1007/s10584-008-9493-y, 2009.
Stump, L. M. and Binkley, D.: Relationships between litter quality and
nitrogen availability in Rocky Mountain forests, Can. J. Forest Res., 23,
492–502, https://doi.org/10.1139/x93-067, 1993.
Thomas, S. C. and Martin, A. R.: Carbon content of tree tissues: a synthesis,
Forests, 3, 332–352, https://doi.org/10.3390/f3020332, 2012.
Tingey, D. T., Mckane, R. B., Olszyk, D. M., Johnson, M. G., Rygiewicz, P.
T., and Henry Lee, E.: Elevated CO2 and temperature alter nitrogen
allocation in Douglas-fir, Glob. Change Biol., 9, 1038–1050,
https://doi.org/10.1046/j.1365-2486.2003.00646.x, 2003.
Tuomi, M., Thum, T., Järvinen, H., Fronzek, S., Berg, B., Harmon, M.,
Trofymow, J. A., Sevanto, S., and Liski, J.: Leaf litter decomposition –
Estimates of global variability based on Yasso07 model, Ecol. Model., 220,
3362–3371, https://doi.org/10.1016/j.ecolmodel.2009.05.016, 2009.
Tuomi, M., Laiho, R., Repo, A., and Liski, J.: Wood decomposition model for
boreal forests, Ecol. Model., 222, 709–718,
https://doi.org/10.1016/j.ecolmodel.2010.10.025, 2011a.
Tuomi, M., Rasinmaki, J., Repo, A., Vanhala, P., and Liski, J.: Soil carbon
model Yasso07 graphical user interface, Environ. Modell. Softw., 26,
1358–1362, https://doi.org/10.1016/j.envsoft.2011.05.009, 2011b.
Wu, X., Akujärvi, A., Lu, N., Liski, J., Liu, G., Wang, Y., Holmberg, M.,
Li, F., Zeng, Y., and Fu, B.: Dynamics of soil organic carbon stock in a
typical catchment of the Loess Plateau: comparison of model simulations with
measurements, Landscape Ecol., 30, 381–397, https://doi.org/10.1007/s10980-014-0110-3,
2015.
Wutzler, T. and Reichstein, M.: Soils apart from equilibrium – consequences
for soil carbon balance modelling, Biogeosciences, 4, 125–136,
https://doi.org/10.5194/bg-4-125-2007, 2007.
Wutzler, T. and Reichstein, M.: Priming and substrate quality interactions in
soil organic matter models, Biogeosciences, 10, 2089–2103,
https://doi.org/10.5194/bg-10-2089-2013, 2013.
Xia, M., Talhelm, A. F., and Pregitzer, K. S.: Fine roots are the dominant
source of recalcitrant plant litter in sugar maple-dominated northern
hardwood forests, New Phytol., 208, 715–726, https://doi.org/10.1111/nph.13494, 2015.
Short summary
In a context of global changes, modeling and predicting the dynamics of soil carbon stocks in forest ecosystems are vital but challenging. Yasso07 is considered to be one of the most promising models for such a purpose. We examine the accuracy of its prediction of soil carbon dynamics over the whole French metropolitan territory at a decennial timescale. We revealed how the bottleneck in soil carbon modeling is linked with the lack of knowledge on soil carbon quality and fine-root litter.
In a context of global changes, modeling and predicting the dynamics of soil carbon stocks in...
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