Articles | Volume 13, issue 12
https://doi.org/10.5194/gmd-13-5973-2020
© 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/gmd-13-5973-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
01 Dec 2020
Model description paper |
| 01 Dec 2020
| 01 Dec 2020
Energy, water and carbon exchanges in managed forest ecosystems: description, sensitivity analysis and evaluation of the INRAE GO+ model, version 3.0
Virginie Moreaux
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
CNRS, UMR IGE 5001, Université de Grenoble-Alpes, Grenoble, 38058, France
Simon Martel
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
CNPF-IDF, Paris, 75000, France
Alexandre Bosc
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
Delphine Picart
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
David Achat
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
Christophe Moisy
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
Raphael Aussenac
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
Christophe Chipeaux
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
Jean-Marc Bonnefond
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
Soisick Figuères
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
Pierre Trichet
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
Rémi Vezy
AMAP, Univ. Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
Vincent Badeau
INRAE, UMR SILVA 1434, Champenoux, 54280, France
Bernard Longdoz
INRAE, UMR SILVA 1434, Champenoux, 54280, France
André Granier
INRAE, UMR SILVA 1434, Champenoux, 54280, France
Olivier Roupsard
Eco&Sols, Univ. Montpellier, CIRAD, INRAE, IRD, Montpellier SupAgro, Montpellier, France
Manuel Nicolas
ONF, Département RDI, Fontainebleau, 77300, France
Kim Pilegaard
Department of Environmental Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Giorgio Matteucci
CNR,ISAFOM, 80056 Ercolano (NA), Italy
Claudy Jolivet
INRAE, US1106 InfoSol, Orléans, 45075, France
Andrew T. Black
Faculty of Land and Food Systems, Vancouver, BC V6T 1Z4, Canada
Olivier Picard
CNPF-IDF, Paris, 75000, France
Denis Loustau
CORRESPONDING AUTHOR
Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d'Ornon, 33140, France
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Seydina Mohamad Ba, Olivier Roupsard, Lydie Chapuis-Lardy, Frédéric Bouvery, Yélognissè Agbohessou, Maxime Duthoit, Aleksander Wieckowski, Torbern Tagesson, Mohamed Habibou Assouma, Espoir Koudjo Gaglo, Claire Delon, Bienvenu Sambou, and Dominique Serça
EGUsphere, https://doi.org/10.5194/egusphere-2025-2660, https://doi.org/10.5194/egusphere-2025-2660, 2025
This preprint is open for discussion and under review for SOIL (SOIL).
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This study offers a major advancement in understanding CO2 fluxes in Sahelian agro-silvo-pastoral systems by combining continuous high-frequency automated soil chambers and Eddy Covariance methods over one year. It reveals the critical role of Faidherbia albida trees in carbon cycling and ecosystem productivity, providing rare, high-resolution data to inform climate mitigation strategies and ecosystem models in semi-arid African landscapes.
Alan Barr, T. Andrew Black, Warren Helgason, Andrew Ireson, Bruce Johnson, J. Harry McCaughey, Zoran Nesic, Charmaine Hrynkiw, Amber Ross, and Newell Hedstrom
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-492, https://doi.org/10.5194/essd-2024-492, 2025
Preprint under review for ESSD
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The Boreal Ecosystem Research and Monitoring Sites comprise three forest and one wetland flux towers near the southern edge of the boreal forest in western Canada. The data, spanning 1997 to 2023, have been used to: characterize the exchanges of carbon, water and energy between boreal ecosystems and the atmosphere; improve climate, hydrologic, and ecosystem carbon-cycle models, and refine remote-sensing methods.
Sylvain Dupont, Eric Lamaud, Mark R. Irvine, Jean-Marc Bonnefond, Adolfo González-Romero, Andrés Alastuey, Cristina González-Flórez, Xavier Querol, Konrad Kandler, Martina Klose, and Carlos Pérez García-Pando
Atmos. Meas. Tech., 18, 2183–2200, https://doi.org/10.5194/amt-18-2183-2025, https://doi.org/10.5194/amt-18-2183-2025, 2025
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Low-cost optical particle counters (OPCs) offer new opportunities to monitor dust particles from wind soil erosion. Their price, size, and power consumption are lower than those of traditional OPCs. We tested the ability of the low-cost OPC-N3 from Alphasense to estimate dust emission flux during erosion events in Jordan. N3 estimated the dust flux well, with differences of less than 30 % compared to a traditional OPC. Our results confirm the potential of low-cost OPCs for dust erosion research.
Espoir Koudjo Gaglo, Emeline Chaste, Sebastiaan Luyssaert, Olivier Roupsard, Christophe Jourdan, Sidy Sow, Nadeige Vandewalle, Frédéric Do, Daouda Ngom, and Aude Valade
EGUsphere, https://doi.org/10.5194/egusphere-2025-1102, https://doi.org/10.5194/egusphere-2025-1102, 2025
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Agroforestry in the Sahel help store carbon and support food production, but land surface models struggle to capture their dynamics. We adapted the ORCHIDEE model to simulate Faidherbia albida, a tree that taps deep groundwater. This work highlights the need to integrate deep water uptake in land surface models for groundwater-dependent ecosystems, as it could enhance predictions, helping to sustain agroforestry in a changing climate.
Benjamin Loubet, Nicolas P. Saby, Maryam Gebleh, Pauline Buysse, Jean-Philippe Chenu, Céline Ratie, Claudy Jolivet, Carmen Kalalian, Florent Levavasseur, Jose-Luis Munera-Echeverri, Sebastien Lafont, Denis Loustau, Dario Papale, Giacomo Nicolini, Bruna Winck, and Dominique Arrouays
EGUsphere, https://doi.org/10.5194/egusphere-2025-592, https://doi.org/10.5194/egusphere-2025-592, 2025
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Soil is a large pool of carbon storing globally from two to three times more carbon than the atmosphere and vegetation. We compute the soil stock evolution from 2005 to 2019 for a wheat-maize-barley-oilseed-rape crop rotation at a French crop site. The soil carbon stock decreased by around 70 ± 16 g C m-2 yr-1 over the period, leading to a total loss of around 8 % of the initial soil stock. This strong destocking is primarily explained by a decrease in the residue return to the site.
Amicie A. Delahaie, Lauric Cécillon, Marija Stojanova, Samuel Abiven, Pierre Arbelet, Dominique Arrouays, François Baudin, Antonio Bispo, Line Boulonne, Claire Chenu, Jussi Heinonsalo, Claudy Jolivet, Kristiina Karhu, Manuel Martin, Lorenza Pacini, Christopher Poeplau, Céline Ratié, Pierre Roudier, Nicolas P. A. Saby, Florence Savignac, and Pierre Barré
SOIL, 10, 795–812, https://doi.org/10.5194/soil-10-795-2024, https://doi.org/10.5194/soil-10-795-2024, 2024
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This paper compares the soil organic carbon fractions obtained from a new thermal fractionation scheme and a well-known physical fractionation scheme on an unprecedented dataset of French topsoil samples. For each fraction, we use a machine learning model to determine its environmental drivers (pedology, climate, and land cover). Our results suggest that these two fractionation schemes provide different fractions, which means they provide complementary information.
Yélognissè Agbohessou, Claire Delon, Manuela Grippa, Eric Mougin, Daouda Ngom, Espoir Koudjo Gaglo, Ousmane Ndiaye, Paulo Salgado, and Olivier Roupsard
Biogeosciences, 21, 2811–2837, https://doi.org/10.5194/bg-21-2811-2024, https://doi.org/10.5194/bg-21-2811-2024, 2024
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Emissions of greenhouse gases in the Sahel are not well represented because they are considered weak compared to the rest of the world. However, natural areas in the Sahel emit carbon dioxide and nitrous oxides, which need to be assessed because of extended surfaces. We propose an assessment of such emissions in Sahelian silvopastoral systems and of how they are influenced by environmental characteristics. These results are essential to inform climate change strategies in the region.
Christophe Djemiel, Samuel Dequiedt, Walid Horrigue, Arthur Bailly, Mélanie Lelièvre, Julie Tripied, Charles Guilland, Solène Perrin, Gwendoline Comment, Nicolas P. A. Saby, Claudy Jolivet, Antonio Bispo, Line Boulonne, Antoine Pierart, Patrick Wincker, Corinne Cruaud, Pierre-Alain Maron, Sébastien Terrat, and Lionel Ranjard
SOIL, 10, 251–273, https://doi.org/10.5194/soil-10-251-2024, https://doi.org/10.5194/soil-10-251-2024, 2024
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The fungal kingdom has been diversifying for more than 800 million years by colonizing a large number of habitats on Earth. Based on a unique dataset (18S rDNA meta-barcoding), we described the spatial distribution of fungal diversity at the scale of France and the environmental drivers by tackling biogeographical patterns. We also explored the fungal network interactions across land uses and climate types.
Jérémy Mayen, Pierre Polsenaere, Éric Lamaud, Marie Arnaud, Pierre Kostyrka, Jean-Marc Bonnefond, Philippe Geairon, Julien Gernigon, Romain Chassagne, Thomas Lacoue-Labarthe, Aurore Regaudie de Gioux, and Philippe Souchu
Biogeosciences, 21, 993–1016, https://doi.org/10.5194/bg-21-993-2024, https://doi.org/10.5194/bg-21-993-2024, 2024
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We deployed an atmospheric eddy covariance system to measure continuously the net ecosystem CO2 exchanges (NEE) over a salt marsh and determine the major biophysical drivers. Our results showed an annual carbon sink mainly due to photosynthesis of the marsh plants. Our study also provides relevant information on NEE fluxes during marsh immersion by decreasing daytime CO2 uptake and night-time CO2 emissions at the daily scale, whereas the immersion did not affect the annual marsh C balance.
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.
Amicie A. Delahaie, Pierre Barré, François Baudin, Dominique Arrouays, Antonio Bispo, Line Boulonne, Claire Chenu, Claudy Jolivet, Manuel P. Martin, Céline Ratié, Nicolas P. A. Saby, Florence Savignac, and Lauric Cécillon
SOIL, 9, 209–229, https://doi.org/10.5194/soil-9-209-2023, https://doi.org/10.5194/soil-9-209-2023, 2023
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We characterized organic matter in French soils by analysing samples from the French RMQS network using Rock-Eval thermal analysis. We found that thermal analysis is appropriate to characterize large set of samples (ca. 2000) and provides interpretation references for Rock-Eval parameter values. This shows that organic matter in managed soils is on average more oxidized and more thermally stable and that some Rock-Eval parameters are good proxies for organic matter biogeochemical stability.
Hamidreza Omidvar, Ting Sun, Sue Grimmond, Dave Bilesbach, Andrew Black, Jiquan Chen, Zexia Duan, Zhiqiu Gao, Hiroki Iwata, and Joseph P. McFadden
Geosci. Model Dev., 15, 3041–3078, https://doi.org/10.5194/gmd-15-3041-2022, https://doi.org/10.5194/gmd-15-3041-2022, 2022
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This paper extends the applicability of the SUEWS to extensive pervious areas outside cities. We derived various parameters such as leaf area index, albedo, roughness parameters and surface conductance for non-urban areas. The relation between LAI and albedo is also explored. The methods and parameters discussed can be used for both online and offline simulations. Using appropriate parameters related to non-urban areas is essential for assessing urban–rural differences.
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.
Sung-Ching Lee, Sara H. Knox, Ian McKendry, and T. Andrew Black
Atmos. Chem. Phys., 22, 2333–2349, https://doi.org/10.5194/acp-22-2333-2022, https://doi.org/10.5194/acp-22-2333-2022, 2022
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Wildfire smoke alters land–atmosphere exchange. Here, measurements in a forest and a wetland during four smoke episodes over four summers showed that impacts on radiation and heat budget were the greatest when smoke arrived in late summer. Both sites sequestered more CO2 under smoky days, partly due to diffuse light, but emitted CO2 when smoke was dense. This kind of field study is important for validating predictions of smoke–productivity feedbacks and has climate change implications.
Matthias Mauder, Andreas Ibrom, Luise Wanner, Frederik De Roo, Peter Brugger, Ralf Kiese, and Kim Pilegaard
Atmos. Meas. Tech., 14, 7835–7850, https://doi.org/10.5194/amt-14-7835-2021, https://doi.org/10.5194/amt-14-7835-2021, 2021
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Turbulent flux measurements suffer from a general systematic underestimation. One reason for this bias is non-local transport by large-scale circulations. A recently developed model for this additional transport of sensible and latent energy is evaluated for three different test sites. Different options on how to apply this correction are presented, and the results are evaluated against independent measurements.
Yeonuk Kim, Monica Garcia, Laura Morillas, Ulrich Weber, T. Andrew Black, and Mark S. Johnson
Hydrol. Earth Syst. Sci., 25, 5175–5191, https://doi.org/10.5194/hess-25-5175-2021, https://doi.org/10.5194/hess-25-5175-2021, 2021
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Here, we present a novel physically based evaporation model to demonstrate that vertical relative humidity (RH) gradients from the land surface to the atmosphere tend to evolve towards zero due to land–atmosphere equilibration processes. Collapsing RH gradients on daily to yearly timescales indicate an emergent land–atmosphere equilibrium, making it possible to determine evapotranspiration using only meteorological information, independent of land surface conditions and vegetation controls.
Jaber Rahimi, Expedit Evariste Ago, Augustine Ayantunde, Sina Berger, Jan Bogaert, Klaus Butterbach-Bahl, Bernard Cappelaere, Jean-Martial Cohard, Jérôme Demarty, Abdoul Aziz Diouf, Ulrike Falk, Edwin Haas, Pierre Hiernaux, David Kraus, Olivier Roupsard, Clemens Scheer, Amit Kumar Srivastava, Torbern Tagesson, and Rüdiger Grote
Geosci. Model Dev., 14, 3789–3812, https://doi.org/10.5194/gmd-14-3789-2021, https://doi.org/10.5194/gmd-14-3789-2021, 2021
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West African Sahelian and Sudanian ecosystems are important regions for global carbon exchange, and they provide valuable food and fodder resources. Therefore, we simulated net ecosystem exchange and aboveground biomass of typical ecosystems in this region with an improved process-based biogeochemical model, LandscapeDNDC. Carbon stocks and exchange rates were particularly correlated with the abundance of trees. Grass and crop yields increased under humid climatic conditions.
Leah Birch, Christopher R. Schwalm, Sue Natali, Danica Lombardozzi, Gretchen Keppel-Aleks, Jennifer Watts, Xin Lin, Donatella Zona, Walter Oechel, Torsten Sachs, Thomas Andrew Black, and Brendan M. Rogers
Geosci. Model Dev., 14, 3361–3382, https://doi.org/10.5194/gmd-14-3361-2021, https://doi.org/10.5194/gmd-14-3361-2021, 2021
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The high-latitude landscape or Arctic–boreal zone has been warming rapidly, impacting the carbon balance both regionally and globally. Given the possible global effects of climate change, it is important to have accurate climate model simulations. We assess the simulation of the Arctic–boreal carbon cycle in the Community Land Model (CLM 5.0). We find biases in both the timing and magnitude photosynthesis. We then use observational data to improve the simulation of the carbon cycle.
Anna B. Harper, Karina E. Williams, Patrick C. McGuire, Maria Carolina Duran Rojas, Debbie Hemming, Anne Verhoef, Chris Huntingford, Lucy Rowland, Toby Marthews, Cleiton Breder Eller, Camilla Mathison, Rodolfo L. B. Nobrega, Nicola Gedney, Pier Luigi Vidale, Fred Otu-Larbi, Divya Pandey, Sebastien Garrigues, Azin Wright, Darren Slevin, Martin G. De Kauwe, Eleanor Blyth, Jonas Ardö, Andrew Black, Damien Bonal, Nina Buchmann, Benoit Burban, Kathrin Fuchs, Agnès de Grandcourt, Ivan Mammarella, Lutz Merbold, Leonardo Montagnani, Yann Nouvellon, Natalia Restrepo-Coupe, and Georg Wohlfahrt
Geosci. Model Dev., 14, 3269–3294, https://doi.org/10.5194/gmd-14-3269-2021, https://doi.org/10.5194/gmd-14-3269-2021, 2021
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We evaluated 10 representations of soil moisture stress in the JULES land surface model against site observations of GPP and latent heat flux. Increasing the soil depth and plant access to deep soil moisture improved many aspects of the simulations, and we recommend these settings in future work using JULES. In addition, using soil matric potential presents the opportunity to include parameters specific to plant functional type to further improve modeled fluxes.
Claire Froger, Nicolas P. A. Saby, Claudy C. Jolivet, Line Boulonne, Giovanni Caria, Xavier Freulon, Chantal de Fouquet, Hélène Roussel, Franck Marot, and Antonio Bispo
SOIL, 7, 161–178, https://doi.org/10.5194/soil-7-161-2021, https://doi.org/10.5194/soil-7-161-2021, 2021
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Pollution of French soils by polycyclic aromatic hydrocarbons (PAHs), known as carcinogenic pollutants, was quantified in this work using an extended data set of 2154 soils sampled across France. The map of PAH concentrations in French soils revealed strong trends in regions with heavy industries and around cities. The PAH signatures indicated the influence of PAH emissions in Europe during the industrial revolution. Health risks posed by PAHs in soils were low but need to be considered.
Chris M. DeBeer, Howard S. Wheater, John W. Pomeroy, Alan G. Barr, Jennifer L. Baltzer, Jill F. Johnstone, Merritt R. Turetsky, Ronald E. Stewart, Masaki Hayashi, Garth van der Kamp, Shawn Marshall, Elizabeth Campbell, Philip Marsh, Sean K. Carey, William L. Quinton, Yanping Li, Saman Razavi, Aaron Berg, Jeffrey J. McDonnell, Christopher Spence, Warren D. Helgason, Andrew M. Ireson, T. Andrew Black, Mohamed Elshamy, Fuad Yassin, Bruce Davison, Allan Howard, Julie M. Thériault, Kevin Shook, Michael N. Demuth, and Alain Pietroniro
Hydrol. Earth Syst. Sci., 25, 1849–1882, https://doi.org/10.5194/hess-25-1849-2021, https://doi.org/10.5194/hess-25-1849-2021, 2021
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This article examines future changes in land cover and hydrological cycling across the interior of western Canada under climate conditions projected for the 21st century. Key insights into the mechanisms and interactions of Earth system and hydrological process responses are presented, and this understanding is used together with model application to provide a synthesis of future change. This has allowed more scientifically informed projections than have hitherto been available.
Jan Pisek, Angela Erb, Lauri Korhonen, Tobias Biermann, Arnaud Carrara, Edoardo Cremonese, Matthias Cuntz, Silvano Fares, Giacomo Gerosa, Thomas Grünwald, Niklas Hase, Michal Heliasz, Andreas Ibrom, Alexander Knohl, Johannes Kobler, Bart Kruijt, Holger Lange, Leena Leppänen, Jean-Marc Limousin, Francisco Ramon Lopez Serrano, Denis Loustau, Petr Lukeš, Lars Lundin, Riccardo Marzuoli, Meelis Mölder, Leonardo Montagnani, Johan Neirynck, Matthias Peichl, Corinna Rebmann, Eva Rubio, Margarida Santos-Reis, Crystal Schaaf, Marius Schmidt, Guillaume Simioni, Kamel Soudani, and Caroline Vincke
Biogeosciences, 18, 621–635, https://doi.org/10.5194/bg-18-621-2021, https://doi.org/10.5194/bg-18-621-2021, 2021
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Understory vegetation is the most diverse, least understood component of forests worldwide. Understory communities are important drivers of overstory succession and nutrient cycling. Multi-angle remote sensing enables us to describe surface properties by means that are not possible when using mono-angle data. Evaluated over an extensive set of forest ecosystem experimental sites in Europe, our reported method can deliver good retrievals, especially over different forest types with open canopies.
Yuan Zhang, Ana Bastos, Fabienne Maignan, Daniel Goll, Olivier Boucher, Laurent Li, Alessandro Cescatti, Nicolas Vuichard, Xiuzhi Chen, Christof Ammann, M. Altaf Arain, T. Andrew Black, Bogdan Chojnicki, Tomomichi Kato, Ivan Mammarella, Leonardo Montagnani, Olivier Roupsard, Maria J. Sanz, Lukas Siebicke, Marek Urbaniak, Francesco Primo Vaccari, Georg Wohlfahrt, Will Woodgate, and Philippe Ciais
Geosci. Model Dev., 13, 5401–5423, https://doi.org/10.5194/gmd-13-5401-2020, https://doi.org/10.5194/gmd-13-5401-2020, 2020
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We improved the ORCHIDEE LSM by distinguishing diffuse and direct light in canopy and evaluated the new model with observations from 159 sites. Compared with the old model, the new model has better sunny GPP and reproduced the diffuse light fertilization effect observed at flux sites. Our simulations also indicate different mechanisms causing the observed GPP enhancement under cloudy conditions at different times. The new model has the potential to study large-scale impacts of aerosol changes.
Waly Faye, Awa Niang Fall, Didier Orange, Frédéric Do, Olivier Roupsard, and Alioune Kane
Proc. IAHS, 383, 391–399, https://doi.org/10.5194/piahs-383-391-2020, https://doi.org/10.5194/piahs-383-391-2020, 2020
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People from the Senegalese Peanut Basin deal with a dramatic increase of water scarcity due both to a rain deficit and a surface water salinization. We carried out the analysis of daily rain from 1950 to 2015 and water salinity of 78 wells on 300 km2. We confirm a climatic break in 1970 leaded a long dry period until 2009, with a decreased of the rainy day number per year, probably driving a large extension of well salinization and salt soil crusting accelerated by a large tidal event in 1984.
Cited articles
Achat, D. L., Fortin, M., Landmann, G., Ringeval, B., and Augusto, L.: Forest soil carbon is threatened by intensive biomass harvesting, Sci. Rep.-UK, 5, 15991, https://doi.org/10.1038/srep15991, 2015.
Achat, D. L., Martel, S., Picart, D., Moisy, C., Augusto, L., Bakker, M. R., and Loustau, D.: Modelling the nutrient cost of biomass harvesting under different silvicultural and climate scenarios in production forests, Forest Ecol. Manag., 429, 642–653, https://doi.org/10.1016/j.foreco.2018.06.047, 2018.
Ahlswede, B. J. and Thomas, R. Q.: Community earth system model simulations reveal the relative importance of afforestation and forest management to surface temperature in Eastern North America, Forests, 8, 499, https://doi.org/10.3390/f8120499, 2017.
Arrouays, D. and Pelissier, P.: Changes in carbon storage in temperate humic loamy soils after forest clearing and continuous corn cropping in France, Plant Soil, 160, 215–223, 1994.
Atkin, O. K. and Tjoelker, M. G.: Thermal acclimation and the dynamic response of plant respiration to temperature, Trends Plant Sci., 8, 343–351, https://doi.org/10.1016/s1360-1385(03)00136-5, 2003.
Bala, G., Caldeira, K., Wickett, M., Phillips, T. J., Lobell, D. B., Delire, C., and Mirin, A.: Combined climate and carbon-cycle effects of large-scale deforestation, P. Natl. Acad. Sci. USA., 104, 6550–6555, https://doi.org/10.1073/pnas.0608998104, 2007.
Balesdent, J., Besnard, E., Arrouays, D., and Chenu, C.: The dynamics of carbon in particle-size fractions of soil in a forest-cultivation sequence, Plant Soil, 201, 49–57, 1998.
Bellassen, V., Le Maire, G., Dhôte, J. F., Ciais, P., and Viovy, N.: Modelling forest management within a global vegetation model – Part 1: Model structure and general behaviour, Ecol. Modell., 221, 2458–2474, https://doi.org/10.1016/j.ecolmodel.2010.07.008, 2010.
Bellassen, V., le Maire, G., Guin, O., Dhôte, J. F., Ciais, P., and Viovy, N.: Modelling forest management within a global vegetation model – Part 2: Model validation from a tree to a continental scale, Ecol. Modell., 222, 57–75, 2011.
Berbigier, P. and Bonnefond, J. M.: Measurement and Modeling of Radiation Transmission within a Stand of Maritime Pine (Pinus-Pinaster Ait), Ann. For. Sci., 52, 23–42, 1995.
Berbigier, P. and Loustau, D.: FLUXNET2015 FR-LBr Le Bray, Dataset, https://doi.org/10.18140/FLX/1440163, 1996–2008.
Berbigier, P., Bonnefond, J. M., and Mellmann, P.: CO2 and water vapour fluxes for 2 years above Euroflux forest site, Agric. For. Meteorol., 108, 183–197, 2001.
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes, Geosci. Model Dev., 4, 677–699, https://doi.org/10.5194/gmd-4-677-2011, 2011.
Betts, R. A.: Offset of the potential carbon sink from boreal forestation by decreases in surface albedo, Nature, 408, 187–190, https://doi.org/10.1038/35041545, 2000.
Bloomfield, K. J., Cernusak, L. A., Eamus, D., Ellsworth, D. S., Prentice, I. C., Wright, I. J., Boer, M. M., Bradford, M. G., Cale, P., Cleverly, J., Egerton, J. J. G., Evans, B. J., Hayes, L. S., Hutchinson, M. F., Liddell, M. J., Macfarlane, C., Meyer, W. S., Prober, S. M., Togashi, H. F., Wardlaw, T., Zhu, L. L., and Atkin, O. K.: A continental-scale assessment of variability in leaf traits: Within species, across sites and between seasons, Funct. Ecol., 32, 1492–1506, 2018.
Borys, A., Suckow, F., Reyer, C., Gutsch, M., and Lasch-Born, P.: The impact of climate change under different thinning regimes on carbon sequestration in a German forest district, Mitig. Adapt. Strat. Gl., 21, 861–881, https://doi.org/10.1007/s11027-014-9628-6, 2016.
Breda, N. J. J.: Ground-based measurements of leaf area index: a review of methods, instruments and current controversies, J. Exp. Bot., 54, 2403–2417, 2003.
Bright, R. M., Cherubini, F., and Strømman, A. H.: Climate impacts of bioenergy: Inclusion of carbon cycle and albedo dynamics in life cycle impact assessment, Environ. Impact Assess. Rev., 37, 2–11, https://doi.org/10.1016/j.eiar.2012.01.002, 2012.
Bright, R. M., Davin, E., O'Halloran, T., Pongratz, J., Zhao, K. G., and Cescatti, A.: Local temperature response to land cover and management change driven by non-radiative processes, Nat. Clim. Change, 7, 296, https://doi.org/10.1038/nclimate3250, 2017.
Campolongo, F. and Saltelli, A.: Sensitivity analysis of an environmental model an application of different analysis methods, Reliab. Eng. Syst. Safe., 57, 49–69, 1997.
Chave, J., Rejou-Mechain, M., Burquez, A., Chidumayo, E., Colgan, M. S., Delitti, W. B., Duque, A., Eid, T., Fearnside, P. M., Goodman, R. C., Henry, M., Martinez-Yrizar, A., Mugasha, W. A., Muller-Landau, H. C., Mencuccini, M., Nelson, B. W., Ngomanda, A., Nogueira, E. M., Ortiz-Malavassi, E., Pelissier, R., Ploton, P., Ryan, C. M., Saldarriaga, J. G., and Vieilledent, G.: Improved allometric models to estimate the aboveground biomass of tropical trees, Global Change Biol., 20, 3177–3190, https://doi.org/10.1111/gcb.12629, 2014.
Chen, C. R., Xu, Z. H., and Mathers, N. J.: Soil carbon pools in adjacent natural and plantation forests of subtropical Australia, Soil Sci. Soc. Am. J., 8, 282–291, https://doi.org/10.2136/sssaj2004.2820, 2004.
Chen, Y., Ryder, J., Bastrikov, V., McGrath, M. J., Naudts, K., Otto, J., Ottlé, C., Peylin, P., Polcher, J., Valade, A., Black, A., Elbers, J. A., Moors, E., Foken, T., van Gorsel, E., Haverd, V., Heinesch, B., Tiedemann, F., Knohl, A., Launiainen, S., Loustau, D., Ogée, J., Vessala, T., and Luyssaert, S.: Evaluating the performance of land surface model ORCHIDEE-CAN v1.0 on water and energy flux estimation with a single- and multi-layer energy budget scheme, Geosci. Model Dev., 9, 2951–2972, https://doi.org/10.5194/gmd-9-2951-2016, 2016.
Ciais, P., Loustau, D., Bosc, A., Ogée, J., Dufrêne, E., François, C., Viovy, N., and Delage, F.: How will the production of French forests respond to climate change? An integrated analysis from site to country scale, in: Forests, carbon cycle and climate change, edited by: Loustau, D., Quae, Paris, 2010.
Clark, D. B., Mercado, L. M., Sitch, S., Jones, C. D., Gedney, N., Best, M. J., Pryor, M., Rooney, G. G., Essery, R. L. H., Blyth, E., Boucher, O., Harding, R. J., Huntingford, C., and Cox, P. M.: The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics, Geosci. Model Dev., 4, 701–722, https://doi.org/10.5194/gmd-4-701-2011, 2011.
Coleman K. and Jenkinson, D. D.: RothC – 26.3 – A model for the turnover of carbon in soil, in: Evaluation of soil organic matter models using existing, long-term dataset, edited by: Powlson, D. S., Smith, P., and Smith, J. U., NATO ASI Series I, Springer Verlag, Heidelberg, Germany, 237–246, 1996.
Collalti, A., Marconi, S., Ibrom, A., Trotta, C., Anav, A., D'Andrea, E., Matteucci, G., Montagnani, L., Gielen, B., Mammarella, I., Grünwald, T., Knohl, A., Berninger, F., Zhao, Y., Valentini, R., and Santini, M.: Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites, Geosci. Model Dev., 9, 479–504, https://doi.org/10.5194/gmd-9-479-2016, 2016.
Davi, H., Dufrene, E., Granier, A., Le Dantec, V., Barbaroux, C., Francois, C., and Breda, N.: Modelling carbon and water cycles in a beech forest Part II: Validation of the main processes from organ to stand scale, Ecol. Modell., 185, 387–405, 2005.
Davi, H., Dufrêne, E., Francois, C., Le Maire, G., Loustau, D., Bosc, A., Rambal, S., Granier, A., and Moors, E.: Sensitivity of water and carbon fluxes to climate changes from 1960 to 2100 in European forest ecosystems, Agr. Forest. Meteorol., 141, 35–56, https://doi.org/10.1016/j.agrformet.2006.09.003, 2006.
Deckmyn, G., Verbeeck, H., de Beeck, M. O., Vansteenkiste, D., Steppe, K., and Ceulemans, R.: ANAFORE: A stand-scale process-based forest model that includes wood tissue development and labile carbon storage in trees, Ecol. Modell., 215, 345–368, https://doi.org/10.1016/j.ecolmodel.2008.04.007, 2008.
Delpierre, N., Dufrêne, E., Soudani, K., Ulrich, E., Cecchini, S., Boé, J., and François, C.: Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France, Agr. Forest. Meteorol., 149, 938–948, https://doi.org/10.1016/j.agrformet.2008.11.014, 2009.
Delpierre, N., Soudani, K., Francois, C., Le Maire, G., Bernhofer, C., Kutsch, W., Misson, L., Rambal, S., Vesala, T., and Dufrene, E.: Quantifying the influence of climate and biological drivers on the interannual variability of carbon exchanges in European forests through process-based modelling, Agr. Forest Meteorol., 154, 99–112, https://doi.org/10.1016/j.agrformet.2011.10.010, 2012.
Delzon, S. and Loustau, D.: Age-related decline in stand water use: sap flow and transpiration in a pine forest chronosequence, Agr. Forest Meteorol., 129, 105–119, https://doi.org/10.1016/j.agrformet.2005.01.002, 2005.
Delzon, S., Sartore, M., Burlett, R., Dewar, R., and Loustau, D.: Hydraulic responses to height growth in maritime pine trees, Plant Cell Environ., 27, 1077–1087, 2004.
de Pury, D. G. G. and Farquhar, G. D.: Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models, Plant Cell Environ., 20, 537–557, 1997.
Dobarco, M. R., Cousin, I., Le Bas, C., and Martin, M. P.: Pedotransfer functions for predicting available water capacity in French soils, their applicability domain and associated uncertainty, Geoderma, 336, 81–95, 2019.
Dondini, M., Jones, E. O., Richards, M., Pogson, M., Rowe, R. L., Keith, A. M., Perks, M. P., McNamara, N. P., Smith, J. U., and Smith, P.: Evaluation of the ECOSSE model for simulating soil carbon under short rotation forestry energy crops in Britain, GCB Bioenergy, 7, 527–540, https://doi.org/10.1111/gcbb.12154, 2015.
Dufrene, E., Davi, H., Francois, C., le Maire, G., Le Dantec, V., and Granier, A.: Modelling carbon and water cycles in a beech forest Part I: Model description and uncertainty analysis on modelled NEE, Ecol. Modell., 185, 407–436, 2005.
Ellsworth, D. S., Crous, K. Y., Lambers, H., and Cooke, J.: Phosphorus recycling in photorespiration maintains high photosynthetic capacity in woody species, Plant Cell Environ., 38, 1142–1156, 2015.
Erb, K.-H., Kastner, T., Plutzar, C., Bais, A. L. S., Carvalhais, N., Fetzel, T., Gingrich, S., Haberl, H., Lauk, C., Niedertscheider, M., Pongratz, J., Thurner, M., and Luyssaert, S.: Unexpectedly large impact of forest management and grazing on global vegetation biomass, Nature, 553, 73–76, 2017.
Fajardo, A. and Siefert, A.: Phenological variation of leaf functional traits within species, Oecologia, 180, 951–959, 2016.
Farquhar, G. D., von Caemmerer, S., and Berry, J.: A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species, Planta, 149, 78–90, 1980.
Felzer, B. S. and Jiang, M.: Effect of Land Use and Land Cover Change in Context of Growth Enhancements in the United States Since 1700: Net Source or Sink?, J. Geophys. Res.-Biogeo., 123, 3439–3457, 2018.
Forrester, D. I., Tachauer, I. H. H., Annighoefer, P., Barbeito, I., Pretzsch, H., Ruiz-Peinado, R., Stark, H., Vacchiano, G., Zlatanov, T., Chakraborty, T., Saha, S., and Sileshi, G. W.: Generalized biomass and leaf area allometric equations for European tree species incorporating stand structure, tree age and climate, Forest Ecol. Manag., 396, 160–175, https://doi.org/10.1016/j.foreco.2017.04.011, 2017.
Garcia, M., Ozdogan, M., and Townsend, P. A.: Impacts of forest harvest on cold season land surface conditions and land-atmosphere interactions in northern Great Lakes states, J. Adv. Model. Earth Sy., 6, 923–937, https://doi.org/10.1002/2014ms000317, 2014.
Gash, J. H. C.: Analytical model of rainfall interception by forests, Q. J. Roy. Meteor. Soc., 105, 43–55, https://doi.org/10.1002/qj.49710544304, 1979.
Gbondo-Tugbawa, S. S., Driscoll, C. T., Aber, J. D., and Likens, G. E.: Evaluation of an integrated biogeochemical model (PnET-BGC) at a northern hardwood forest ecosystem, Water Resour. Res., 37, 1057–1070, https://doi.org/10.1029/2000WR900375, 2001.
Ghanbarian-Alavijeh, B., Liaghat, A., Huang, G.-H., and Van Genuchten, M. T.: Estimation of the van Genuchten Soil Water Retention Properties from Soil Textural Data, Pedosphere, 20, 456–465, 2010.
Gholz, H. L.: Limits on aboveground net primary production, leaf area, and biomass in vegetational zones of the Pacific Northwest, Dissertation, Oregon State University, Corvallis, Oregon, USA, 1979.
Gottschalk, P., Bellarby, J., Chenu, C., Foereid, B., Smith, P., Wattenbach, M., Zingore, S., and Smith, J.: Simulation of soil organic carbon response at forest cultivation sequences using C-13 measurements, Org. Geochem., 41, 41–54, https://doi.org/10.1016/j.orggeochem.2009.04.017, 2010.
Granier, A. and Bréda, N.: Modelling canopy conductance and stand transpiration of an oak forest from sap flow measurements, Ann. For. Sci., 53, 537–546, 1996.
Granier, A. and Loustau, D.: Measuring and modelling the transpiration of a maritime pine canopy from sap-flow data, Agr. Forest. Meteorol., 71, 61–81, 1994.
Granier, A., Ceschia, E., Damesin, C., Dufrene, E., Epron, D., Gross, P., Lebaube, S., Le Dantec, V., Le Goff, N., Lemoine, D., Lucot, E., Ottorini, J. M., Pontailler, J. Y., and Saugier, B.: The carbon balance of a young Beech forest, Funct. Ecol., 14, 312–325, 2000a.
Granier, A., Loustau, D., and Bréda, N.: A generic model of forest canopy conductance dependent of climate, soil water availability and leaf area index, Ann. For. Sci., 57, 755–765, 2000b.
Grassi, G., House, J., Dentener, F., Federici, S., den Elzen, M., and Penman, J.: The key role of forests in meeting climate targets requires science for credible mitigation, Nat. Clim. Change, 7, 220–226, 2017.
Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., Schlesinger, W. H., Shoch, D., Siikamaki, J. V., Smith, P., Woodbury, P., Zganjar, C., Blackman, A., Campari, J., Conant, R. T., Delgado, C., Elias, P., Gopalakrishna, T., Hamsik, M. R., Herrero, M., Kiesecker, J., Landis, E., Laestadius, L., Leavitt, S. M., Minnemeyer, S., Polasky, S., Potapov, P., Putz, F. E., Sanderman, J., Silvius, M., Wollenberg, E., and Fargione, J.: Natural climate solutions, P. Natl. Acad. Sci. USA., 114, 11645–11650, https://doi.org/10.1073/pnas.1710465114, 2017.
Guillemot, J., Delpierre, N., Vallet, P., François, C., Martin-StPaul, N. K., Soudani, K., Nicolas, M., Badeau, V., and Dufrêne, E.: Assessing the effects of management on forest growth across France: insights from a new functional–structural model, Ann. Bot., 114, 779–793, https://doi.org/10.1093/aob/mcu059, 2014.
Gutsch, M., Lasch, P., Suckow, F., and Reyer, C.: Management of mixed oak-pine forests under climate scenario uncertainty, Forest Syst., 20, 453–463, https://doi.org/10.5424/fs/20112003-11073, 2011.
Hamada, S., Kumagai, T., Kochi, K., Kobayashi, N., Hiyama, T., and Miyazawa, Y.: Spatial and temporal variations in photosynthetic capacity of a temperate deciduous-evergreen forest, Trees-Structure and Function, 30, 1083–1093, 2016.
Harley, P. C. and Baldocchi, D. D.: Scaling carbon-dioxide and water-vapour exchange from leaf to canopy in a deciduous forest .1. Leaf model parameterization, Plant. Cell Environ., 18, 1146–1156, https://doi.org/10.1111/j.1365-3040.1995.tb00625.x, 1995.
Harper, A. B., Wiltshire, A. J., Cox, P. M., Friedlingstein, P., Jones, C. D., Mercado, L. M., Sitch, S., Williams, K., and Duran-Rojas, C.: Vegetation distribution and terrestrial carbon cycle in a carbon cycle configuration of JULES4.6 with new plant functional types, Geosci. Model Dev., 11, 2857–2873, https://doi.org/10.5194/gmd-11-2857-2018, 2018.
Hassika, P., Berbigier, P., and Bonnefond, J. M.: Measurement and modelling of the photosynthetically active radiation transmitted in a canopy of maritime pine, Ann. For. Sci., 54, 715–730, 1997.
Huang, L., Zhai, J., Liu, J. Y., and Sun, C. Y.: The moderating or amplifying biophysical effects of afforestation on CO2-induced cooling depend on the local background climate regimes in China, Agr. Forest. Meteorol., 260, 193–203, https://doi.org/10.1016/j.agrformet.2018.05.020, 2018.
Humphreys, E. R., Black, T. A., Morgenstern, K., Cai, T., Drewitt, G. B., Nesic, Z., and Trofymow, J. A.: Carbon dioxide fluxes in coastal Douglas-fir stands at different stages of development after clearcut harvesting, Agr. Forest Meteorol., 140, 6–22, 2006.
Ibrom, A. and Pilegaard, K.: FLUXNET2015 DK-Sor Soroe, Dataset, https://doi.org/10.18140/FLX/1440155, 1996–2014.
IPCC: Climate Change and Land. An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems, available at: https://www.ipcc.ch/srccl-report-download-page/, last access: 19 September 2019.
Janssens, I. A., Lankreijer, H., Matteucci, G., Kowalski, A. S., Buchmann, N., Epron, D., Pilegaard, K., Kutsch, W., Longdoz, B., Grunwald, T., Montagnani, L., Dore, S., Rebmann, C., Moors, E. J., Grelle, A., Rannik, U., Morgenstern, K., Oltchev, S., Clement, R., Gudmundsson, J., Minerbi, S., Berbigier, P., Ibrom, A., Moncrieff, J., Aubinet, M., Bernhofer, C., Jensen, N. O., Vesala, T., Granier, A., Schulze, E. D., Lindroth, A., Dolman, A. J., Jarvis, P. G., Ceulemans, R., and Valentini, R.: Productivity overshadows temperature in determining soil and ecosystem respiration across European forests, Global Change Biol., 7, 269–278, https://doi.org/10.1046/j.1365-2486.2001.00412.x, 2001.
Jarvis, P. G.: The interpretation of the variation in leaf water potential and stomatal conductance found in canopies in the field, Phil. Trans. R. Soc. B, 273, 593–610, 1976.
Jolivet, C.: Le carbone organique des sols des Landes de Gascogne variabilité spatiale et effets des pratiques sylvicoles et agricoles, PhD Thesis, Université de Bourgogne, Dijon, 306 pp., 2000.
Jones, H. G.: Plants and microclimate: a quantitative approach to environmental plant physiology, Cambridge University Press, Cambridge, 1992.
Jurevics, A., Peichl, M., Olsson, B. A., Stromgren, M., and Egnell, G.: Slash and stump harvest have no general impact on soil and tree biomass C pools after 32–39 years, Forest Ecol. Manag., 371, 33–41, https://doi.org/10.1016/j.foreco.2016.01.008, 2016.
Karjalainen, T., Pussinen, A., Liski, J., Nabuurs, G. J., Eggers, T., Lapvetelainen, T., and Kaipainen, T.: Scenario analysis of the impacts of forest management and climate change on the European forest sector carbon budget, Forest Policy Econ, 5, 141–155, 2003.
Knorr, W., Prentice, I. C., House, J. I., and Holland, E. A.: Long-term sensitivity of soil carbon turnover to warming, Nature, 433, 298–301, https://doi.org/10.1038/nature03226, 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., Tyofymow, J. A., Metsaranta, J., and Apps, M. J.: CBM-CFS3: A model of carbon-dynamics in forestry and land-use change implementing IPCC standards, Ecol. Modell., 220, 480–504, 2009.
Kuusinen, N., Lukes, P., Stenberg, P., Levula, J., Nikinmaa, E., and Berninger, F.: Measured and modelled albedos in Finnish boreal forest stands of different species, structure and understory, Ecol. Modell., 284, 10–18, https://doi.org/10.1016/j.ecolmodel.2014.04.007, 2014.
Landsberg, J. J. and Waring, R. H.: A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning, Forest Ecol. Manag., 95, 209–228, 1997.
Lebourgeois, F., Pierrat, J.-C., Perez, V., Piedallu, C., Cecchini, S., Ulrich, E.: Phenological timing in French temperate forests – a study on stands in the renecofor network, Revue Forestiere Française, 60, 323–343, 2008.
Lee, X., Goulden, M. L., Hollinger, D. Y., Barr, A., Black, T. A., Bohrer, G., Bracho, R., Drake, B., Goldstein, A., Gu, L. H., Katul, G., Kolb, T., Law, B. E., Margolis, H., Meyers, T., Monson, R., Munger, W., Oren, R., Kyaw, T. P. U., Richardson, A. D., Schmid, H. P., Staebler, R., Wofsy, S., and Zhao, L.: Observed increase in local cooling effect of deforestation at higher latitudes, Nature, 479, 384–387, https://doi.org/10.1038/nature10588, 2011.
Le Moguedec, G. and Dhôte, J. F.: Fagacees: a tree-centered growth and yield model for sessile oak (Quercus petraea L.) and common beech (Fagus sylvatica L.), Ann. For. Sci., 69, 257–269, 2012.
Lindner, M., Bugmann, H., Lasch, P., Flechsig, M., and Cramer, W.: Regional impacts of Clim. Change on forests in the state of Brandenburg, Germany, Agr. Forest. Meteorol., 84, 123–135, 10.1016/s0168-1923(96)02381-7, 1997.
Loustau, D. and Cochard, H.: Use of a portable transpiration chamber for estimating evapotranspiration in the Molinia caerulea understorey of a maritime pine stand, Ann. For. Sci., 48, 29–45, 1991.
Loustau, D., Berbigier, P., Roumagnac, P., Ferreira, M. I., Pereira, J. S., Arruda-Pacheco, C., David, J. S., and Tavares, R.: Transpiration of a 64-year-old maritime pine stand in Portugal. I: Seasonal course of water flux through maritime pine, Oecologia, 107, 33–42, 1996.
Loustau, D., Domec, J. C., and Bosc, A.: Interpreting the variations in xylem sap flux density within the trunk of maritime pine (Pinus pinaster Ait.): application of a model for calculating water flows at tree and stand levels, Ann. For. Sci., 55, 29–46, 1998.
Loustau, D., Bosc, A., Colin, A., Ogee, J., Davi, H., Francois, C., Dufrene, E., Deque, M., Cloppet, E., Arrouays, D., Le Bas, C., Saby, N., Pignard, G., Hamza, N., Granier, A., Breda, N., Ciais, P., Viovy, N., and Delage, F.: Modeling climate change effects on the potential production of French plains forests at the sub-regional level, Tree Physiol., 25, 813–823, 2005.
Loustau, D., Moisy, C., Bosc, A., Figuères, S., Martel, S., Moreaux, V., and Picart-Deshors, D.: GO+ v3.0 model code, Portail Data INRAE, V2, https://doi.org/10.15454/5K9HCS, 2020.
Luyssaert, S., Jammet, M., Stoy, P. C., Estel, S., Pongratz, J., Ceschia, E., Churkina, G., Don, A., Erb, K., Ferlicoq, M., Gielen, B., Grunwald, T., Houghton, R. A., Klumpp, K., Knohl, A., Kolb, T., Kuemmerle, T., Laurila, T., Lohila, A., Loustau, D., McGrath, M. J., Meyfroidt, P., Moors, E. J., Naudts, K., Novick, K., Otto, J., Pilegaard, K., Pio, C. A., Rambal, S., Rebmann, C., Ryder, J., Suyker, A. E., Varlagin, A., Wattenbach, M., and Dolman, A. J.: Land management and land-cover change have impacts of similar magnitude on surface temperature, Nat. Clim. Change, 4, 389–393, https://doi.org/10.1038/nclimate2196, 2014.
Luyssaert, S., Marie, G., Valade, A., Chen, Y.-Y., Njakou Djomo, S., Ryder, J., Otto, J., Naudts, K., Lansø, A. S., Ghattas, J., and McGrath, M. J.: Trade-offs in using European forests to meet climate objectives, Nature, 562, 259–262, https://doi.org/10.1038/s41586-018-0577-1, 2018.
Masera, O. R., Garza-Caligaris, J. F., Kanninen, M., Karjalainen, T., Liski, J., Nabuurs, G. J., Pussinen, A., de Jong, B. H. J., and Mohren, G. M. J.: Modeling carbon sequestration in afforestation, agroforestry and forest management projects: the CO2FIX V.2 approach, Ecol. Modell., 164, 177–199, 2003.
Matteucci, G.: FLUXNET2015 IT-Col Collelongo, Dataset, https://doi.org/10.18140/FLX/1440167, 1996–2014.
Medlyn, B. E., Barton, C. V. M., Broadmeadow, M. S. J., Ceulemans, R., De Angelis, P., Forstreuter, M., Freeman, M., Jackson, S. B., Kellomaki, S., Laitat, E., Rey, A., Roberntz, P., Sigurdsson, B. D., Strassemeyer, J., Wang, K., Curtis, P. S., and Jarvis, P. G.: Stomatal conductance of forest species after long-term exposure to elevated CO2 concentration: a synthesis, New Phytol., 149, 247–264, 2001.
Medlyn, B. E., Dreyer, E., Ellsworth, D., Forstreuter, M., Harley, P. C., Kirschbaum, M. U. F., Le Roux, X., Montpied, P., Strassemeyer, J., Walcroft, A., Wang, K., and Loustau, D.: Temperature response of parameters of a biochemically based model of photosynthesis. II. A review of experimental data, Plant Cell Environ., 25, 1167–1179, 2002.
Medlyn, B. E., Berbigier, P., Clement, R., Grelle, A., Loustau, D., Linder, S., Wingate, L., Jarvis, P. G., Sigurdsson, B. D., and McMurtrie, R. E.: Carbon balance of coniferous forests growing in contrasting climates: Model-based analysis, Agric. Forest Meteorol., 131, 97–124, 2005.
Mencuccini, M., Minunno, F., Salmon, Y., Martínez-Vilalta, J., and Hölttä, T.: Coordination of physiological traits involved in drought-induced mortality of woody plants, New Phytol., 208, 396–409, https://doi.org/10.1111/nph.13461, 2015.
Moffat, A. M., Papale, D., Reichstein, M., Hollinger, D. Y., Richardson, A. D., Barr, A. G., Beckstein, C., Braswell, B. H., Churkina, G., Desai, A. R., Falge, E., Gove, J. H., Heimann, M., Hui, D. F., Jarvis, A. J., Kattge, J., Noormets, A., and Stauch, V. J.: Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes, Agric. Forest Meteorol., 147, 209–232, 2007.
Moreaux, V.: Observation et modélisation des échanges d'énergie et de masse de jeunes peuplements forestiers du Sud-Ouest de la France, PhD thesis, Ecole Doctorale 304 “Sciences et Environnements”, Thématique “Physique de l'Environnement”, Université de Bordeaux-1, Bordeaux, 262 pp., 2012.
Moreaux, V., Lamaud, E., Bosc, A., Bonnefond, J.-M., Medlyn, B. E., and Loustau, D.: Paired comparison of water, energy and carbon exchanges over two young maritime pine stands (Pinus pinaster Ait.): effects of thinning and weeding in the early stage of tree growth, Tree Physiol., 31, 903–921, 2011.
Moreaux, V., Longdoz, B., Berveiller, D., Delpierre, N., Dufrêne, E., Bonnefond, J.-M., Chipeaux, C., Joffre, R., Limousin, J.-M., Ourcival, J.-M., Klumpp, K., Darsonville, O., Brut, A., Tallec, T., Ceschia, E., Panthou, G., and Loustau, D.: Environmental control of land-atmosphere CO2 fluxes from temperate ecosystems: a statistical approach based on homogenized time series from five land-use types, Tellus B, 72, 1–25, 2020.
Muzylo, A., Llorens, P., Valente, F., Keizer, J. J., Domingo, F., and Gash, J. H. C.: A review of rainfall interception modelling, J. Hydrol., 370, 191–206, https://doi.org/10.1016/j.jhydrol.2009.02.058, 2009.
Nakai, T., Sumida, A., Daikoku, K. I., Matsumoto, K., van der Molen, M. K., Kodama, Y., Kononov, A. V., Maximov, T. C., Dolman, A. J., Yabuki, H., Hara, T., and Ohta, T.: Parameterisation of aerodynamic roughness over boreal, cool- and warm-temperate forests, Agr. For. Meteorol., 148, 1916–1925, https://doi.org/10.1016/j.agrformet.2008.03.009, 2008.
Naudts, K., Ryder, J., McGrath, M. J., Otto, J., Chen, Y., Valade, A., Bellasen, V., Berhongaray, G., Bönisch, G., Campioli, M., Ghattas, J., De Groote, T., Haverd, V., Kattge, J., MacBean, N., Maignan, F., Merilä, P., Penuelas, J., Peylin, P., Pinty, B., Pretzsch, H., Schulze, E. D., Solyga, D., Vuichard, N., Yan, Y., and Luyssaert, S.: A vertically discretised canopy description for ORCHIDEE (SVN r2290) and the modifications to the energy, water and carbon fluxes, Geosci. Model Dev., 8, 2035–2065, https://doi.org/10.5194/gmd-8-2035-2015, 2015.
Naudts, K., Chen, Y. Y., McGrath, M. J., Ryder, J., Valade, A., Otto, J., and Luyssaert, S.: Europe's forest management did not mitigate climate warming, Science, 351, 597–600, https://doi.org/10.1126/science.aad7270, 2016.
Otto, J., Berveiller, D., Bréon, F.-M., Delpierre, N., Geppert, G., Granier, A., Jans, W., Knohl, A., Kuusk, A., Longdoz, B., Moors, E., Mund, M., Pinty, B., Schelhaas, M.-J., and Luyssaert, S.: Forest summer albedo is sensitive to species and thinning: how should we account for this in Earth system models?, Biogeosciences, 11, 2411–2427, https://doi.org/10.5194/bg-11-2411-2014, 2014.
Pan, Y. D., Birdsey, R. A., Fang, J. Y., Houghton, R., Kauppi, P. E., Kurz, W. A., Phillips, O. L., Shvidenko, A., Lewis, S. L., Canadell, J. G., Ciais, P., Jackson, R. B., Pacala, S. W., McGuire, A. D., Piao, S. L., Rautiainen, A., Sitch, S., and Hayes, D.: A large and persistent carbon sink in the world's forests, Science, 333, 988–993, https://doi.org/10.1126/science.1201609, 2011.
Papale, D., Reichstein, M., Aubinet, M., Canfora, E., Bernhofer, C., Kutsch, W., Longdoz, B., Rambal, S., Valentini, R., Vesala, T., and Yakir, D.: Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation, Biogeosciences, 3, 571–583, https://doi.org/10.5194/bg-3-571-2006, 2006.
Penning De Vries, F. W., Brunsting, A. H., and Van Laar, H. H.: Products, requirements and efficiency of biosynthesis – Quantitative approach, J. Theor. Biol., 45, 339–377, 1974.
Pichancourt, J. B., Manso, R., Ningre, F., and Fortin, M.: A carbon accounting tool for complex and uncertain greenhouse gas emission life cycles, Environ. Modell. Softw., 107, 158–174, 2018.
Pilegaard, K., Ibrom, A. Courtney, M. S., Hummelshøj, P., Jensen, N. O.: Increasing net CO2 uptake by a Danish beech forest during the period from 1996 to 2009, Agr. Forest Meteorol., 151, 934–946, https://doi.org/10.1016/j.agrformet.2011.02.013, 2011.
Pilli, R., Grassi, G., Kurz, W. A., Fiorese, G., and Cescatti, A.: The European forest sector: past and future carbon budget and fluxes under different management scenarios, Biogeosciences, 14, 2387–2405, https://doi.org/10.5194/bg-14-2387-2017, 2017.
Pourmokhtarian, A., Driscoll, C. T., Campbell, J. L., and Hayhoe, K.: Modeling potential hydrochemical responses to climate change and increasing CO2 at the Hubbard Brook Experimental Forest using a dynamic biogeochemical model (PnET-BGC), Water Resour. Res., 48, W07514, https://doi.org/10.1029/2011WR011228, 2012.
Rasche, L., Fahse, L., and Bugmann, H.: Key factors affecting the future provision of tree-based forest ecosystem goods and services, Clim. Change, 118, 579–593, https://doi.org/10.1007/s10584-012-0664-5, 2013.
Rayment, M. B., Loustau, D., and Jarvis, P. G.: Measuring and modeling conductances of black spruce at three organizational scales: shoot, branch and canopy, Tree Physiol., 20, 713–723, 2000.
Rayment, M. B., Loustau, D., and Jarvis, P. J.: Photosynthesis and respiration of black spruce at three organizational scales: shoot, branch and canopy, Tree Physiol., 22, 219–229, 2002.
Reineke, L. H.: Perfecting a stand-density index for even-aged forests, J. Agric. Res., 46, 627–638, 1933.
Reyer, C., Lasch-Born, P., Suckow, F., Gutsch, M., Murawski, A., and Pilz, T.: Projections of regional changes in forest net primary productivity for different tree species in Europe driven by climate change and carbon dioxide, Ann. For. Sci., 71, 211–225, 2014.
Reyer, C., Silveyra Gonzalez, R., Dolos, K., Hartig, F., Hauf, Y., Noack, M., Lasch-Born, P., Rötzer, T., Pretzsch, H., Meesenburg, H., Fleck, S., Wagner, M., Bolte, A., Sanders, T., Kolari, P., Mäkelä, A., Vesala, T., Mammarella, I., Pumpanen, J., Matteucci, G., Collalti, A., D'Andrea, E., Foltýnová, L., Krejza, J., Ibrom, A., Pilegaard, K., Loustau, D., Bonnefond, J.-M., Berbigier, P., Picart, D., Lafont, S., Dietze, M., Cameron, D., Vieno, M., Tian, H., Palacios-Orueta, A., Cicuendez, V., Recuero, L., Wiese, K., Büchner, M., Lange, S., Volkholz, J., Kim, H., Weedon, G., Sheffield, J., Vega del Valle, I., Suckow, F., Horemans, J., Martel, S., Bohn, F., Steinkamp, J., Chikalanov, A., and Frieler, K.: The PROFOUND database for evaluating vegetation models and simulating climate impacts on forests, V. 0.1.12, GFZ Data Services, https://doi.org/10.5880/PIK.2019.008, 2019.
Romanya, J., Cortina, J., Falloon, P., Coleman, K., and Smith, P.: Modelling changes in soil organic matter after planting fast-growing Pinus radiata on Mediterranean agricultural soils, Eur. J. Soil Sci., 51, 627–641, 2000.
Ryan, M. G.: Effects of climate change on plant respiration, Ecol. Appl., 1, 157–167, 1991.
Sathre, R. and O'Connor, J.: Meta-analysis of greenhouse gas displacement factors of wood product substitution, Environ. Sci. Policy, 13, 104–114, https://doi.org/10.1016/j.envsci.2009.12.005, 2010.
Scartazza, A., Moscatello, S., Matteucci, G., Battistelli, A., and Brugnoli, E.: Seasonal and inter-annual dynamics of growth, non-structural carbohydrates and C stable isotopes in a Mediterranean beech forest, Tree Physiol., 33, 730–742, 2013.
Schlamadinger, B. and Marland, G.: The role of forest and bioenergy strategies in the global carbon cycle, Biomass Bioenerg., 10, 275–300, https://doi.org/10.1016/0961-9534(95)00113-1, 1996.
Shaiek, O., Loustau, D., Trichet, P., Meredieu, C., Bachtobji, B., Garchi, S., and El Aouni, M. H.: Generalized biomass equations for the main aboveground biomass components of maritime pine across contrasting environments, Ann. For. Sci., 68, 443–452, 2011.
Smith, P., Smith, J., Wattenbach, M., Meyer, J., Lindner, M., Zaehle, S., Hiederer, R., Jones, R. J. A., Montanarella, L., Rounsevell, M., Reginster, I., and Kankaanpaa, S.: Projected changes in mineral soil carbon of European forests, 1990–2100, Can. J. Soil Sci., 86, 159–169, 2006.
Smith, B., Wårlind, D., Arneth, A., Hickler, T., Leadley, P., Siltberg, J., and Zaehle, S.: Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model, Biogeosciences, 11, 2027–2054, https://doi.org/10.5194/bg-11-2027-2014, 2014.
Stoy, P. C., Katul, G. G., Siqueira, M. B. S., Juang, J. Y., McCarthy, H. R., Kim, H. S., Oishi, A. C., and Oren, R.: Variability in net ecosystem exchange from hourly to inter-annual time scales at adjacent pine and hardwood forests: a wavelet analysis, Tree Physiol., 25, 887–902, https://doi.org/10.1093/treephys/25.7.887, 2005.
Stoy, P. C., Richardson, A. D., Baldocchi, D. D., Katul, G. G., Stanovick, J., Mahecha, M. D., Reichstein, M., Detto, M., Law, B. E., Wohlfahrt, G., Arriga, N., Campos, J., McCaughey, J. H., Montagnani, L., Paw U, K. T., Sevanto, S., and Williams, M.: Biosphere–atmosphere exchange of CO2 in relation to climate: a cross-biome analysis across multiple time scales, Biogeosciences, 6, 2297–2312, https://doi.org/10.5194/bg-6-2297-2009, 2009.
Stromgren, M., Egnell, G., and Olsson, B. A.: Carbon stocks in four forest stands in Sweden 25 years after harvesting of slash and stumps, Forest Ecol. Manag., 290, 59–66, https://doi.org/10.1016/j.foreco.2012.06.052, 2013.
Subedi, P., Jokela, E. J., Vogel, J. G., and Martin, T. A.: Inter-rotational effects of fertilization and weed control on juvenile loblolly pine productivity and nutrient dynamics, Soil Sci. Soc. Am. J., 78, S152–S167, https://doi.org/10.2136/sssaj2013.08.0345nafsc, 2014.
Thum, T., MacBean, N., Peylin, P., Bacour, C., Santaren, D., Longdoz, B., Loustau, D., and Ciais, P.: The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites, Agr. Forest Meteorol., 234–235, 48–65, https://doi.org/10.1016/j.agrformet.2016.12.004, 2017.
van Genuchten, M. T.: A closed-form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892–898, 1980.
Van Wijk, M. T., Dekker, S. C., Bouten, W., Bosveld, F. C., Kohsiek, W., Kramer, K., and Mohren, G. M. J.: Modeling daily gas exchange of a Douglas-fir forest: comparison of three stomatal conductance models with and without a soil water stress function, Tree Physiol., 20, 115–122, 2000.
Wallach, D. and Goffinet, B.: Mean squared error of prediction as a criterion for evaluating and comparing system models, Ecol. Modell., 44, 299–306, https://doi.org/10.1016/0304-3800(89)90035-5, 1989.
Wang, Y. X., Zhu, X. D., Bai, S. B., Zhu, T. T., Qiu, W. T., You, Y. J., Wu, M. J., Berninger, F., Sun, Z. B., Zhang, H., and Zhang, X. H.: Effects of forest regeneration practices on the flux of soil CO2 after clear-cutting in subtropical China, J. Environ. Manage., 212, 332–339, https://doi.org/10.1016/j.jenvman.2018.02.038, 2018.
Wösten, J. H. M., Lilly, A., Nemes, A., and Le Bas, C.: Development and use of a database of hydraulic properties of European soils, Geoderma, 90, 169–185, 1999.
Wutzler, T., Wirth, C., and Schumacher, J.: Generic biomass functions for Common beech (Fagus sylvatica) in Central Europe: predictions and components of uncertainty, Can. J. For. Res., 38, 1661–1675, https://doi.org/10.1139/x07-194, 2008.
Yousefpour, R., Augustynczik, A. L. D., Reyer, C. P. O., Lasch-Born, P., Suckow, F., and Hanewinkel, M.: Realizing mitigation efficiency of European commercial forests by climate smart forestry, Sci. Rep.-UK, 8, 345, https://doi.org/10.1038/s41598-017-18778-w, 2018.
Zhang, X. Z., Guan, D. X., Li, W. B., Sun, D., Jin, C. J., Yuan, F. H., Wang, A. Z., and Wu, J. B.: The effects of forest thinning on soil carbon stocks and dynamics: A meta-analysis, Forest Ecol. Manag., 429, 36–43, https://doi.org/10.1016/j.foreco.2018.06.027, 2018.
Short summary
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.
The model GO+ describes the functioning of managed forests based upon biophysical and...
