Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3789-2021
© Author(s) 2021. 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-14-3789-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
24 Jun 2021
Model evaluation paper |
| 24 Jun 2021
| 24 Jun 2021
Modeling gas exchange and biomass production in West African Sahelian and Sudanian ecological zones
Jaber Rahimi
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Garmisch-Partenkirchen, Germany
Expedit Evariste Ago
Laboratoire d'Ecologie Appliquée, Faculté des Sciences
Agronomiques, Université d'Abomey-Calavi, Cotonou, Benin
Biodiversity and Landscape Unit, Université de Liège Gembloux
Agro-Bio Tech, Gembloux, Belgium
Augustine Ayantunde
International Livestock Research Institute (ILRI), Ouagadougou,
Burkina Faso
Sina Berger
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Garmisch-Partenkirchen, Germany
Regional Climate and Hydrology Research
Group, University of Augsburg, Augsburg, Germany
Jan Bogaert
Biodiversity and Landscape Unit, Université de Liège Gembloux
Agro-Bio Tech, Gembloux, Belgium
Klaus Butterbach-Bahl
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Garmisch-Partenkirchen, Germany
International Livestock Research Institute (ILRI), Nairobi, Kenya
Bernard Cappelaere
HydroSciences Montpellier, Université Montpellier, IRD, CNRS,
Montpellier, France
Jean-Martial Cohard
IRD, CNRS, Université Grenoble Alpes, Grenoble, France
Jérôme Demarty
HydroSciences Montpellier, Université Montpellier, IRD, CNRS,
Montpellier, France
Abdoul Aziz Diouf
Centre de Suivi Ecologique (CSE), Dakar, Senegal
Ulrike Falk
Satellite-based Climate Monitoring, Deutscher Wetterdienst (DWD),
Offenbach, Germany
Edwin Haas
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Garmisch-Partenkirchen, Germany
Pierre Hiernaux
Géosciences Environnement Toulouse (GET), CNRS, IRD, UPS,
Toulouse, France
Pastoralisme Conseil, Caylus, France
David Kraus
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Garmisch-Partenkirchen, Germany
Olivier Roupsard
CIRAD, UMR Eco&Sols, BP1386, CP18524, Dakar, Senegal
Eco&Sols, Université Montpellier, CIRAD, INRAE, IRD,
Institut Agro, Montpellier, France
LMI IESOL, Centre IRD-ISRA de Bel Air, BP1386, CP18524, Dakar,
Senegal
Clemens Scheer
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Garmisch-Partenkirchen, Germany
Amit Kumar Srivastava
Institute of Crop Science and Resource Conservation, University of
Bonn, Bonn, Germany
Torbern Tagesson
Department of Geosciences and Natural Resource Management,
University of Copenhagen, Copenhagen, Denmark
Department of Physical Geography and Ecosystem Sciences, Lund
University, Lund, Sweden
Karlsruhe Institute of Technology, Institute of Meteorology and
Climate Research, Atmospheric Environmental Research (IMK-IFU),
Garmisch-Partenkirchen, Germany
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Nat. Hazards Earth Syst. Sci., 24, 1099–1134, https://doi.org/10.5194/nhess-24-1099-2024, https://doi.org/10.5194/nhess-24-1099-2024, 2024
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Odysseas Sifounakis, Edwin Haas, Klaus Butterbach-Bahl, and Maria P. Papadopoulou
Biogeosciences, 21, 1563–1581, https://doi.org/10.5194/bg-21-1563-2024, https://doi.org/10.5194/bg-21-1563-2024, 2024
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Biogeosciences, 20, 5029–5067, https://doi.org/10.5194/bg-20-5029-2023, https://doi.org/10.5194/bg-20-5029-2023, 2023
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Agricultural landscapes act as sinks or sources of the greenhouse gases (GHGs) CO2, CH4, or N2O. Various physicochemical and biological processes control the fluxes of these GHGs between ecosystems and the atmosphere. Therefore, fluxes depend on environmental conditions such as soil moisture, soil temperature, or soil parameters, which result in large spatial and temporal variations of GHG fluxes. Here, we describe an example of how this variation may be studied and analyzed.
Yélognissè Agbohessou, Claire Delon, Manuela Grippa, Eric Mougin, Daouda Ngom, Espoir Koudjo Gaglo, Ousmane Ndiaye, Paulo Salgado, and Olivier Roupsard
EGUsphere, https://doi.org/10.5194/egusphere-2023-2452, https://doi.org/10.5194/egusphere-2023-2452, 2023
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Emissions of greenhouse gases in the Sahel are not well represented, because considered as 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 how they are influenced by environmental characteristics. These results are essential to inform on climate change strategies in the region.
Daniel Nadal-Sala, Rüdiger Grote, David Kraus, Uri Hochberg, Tamir Klein, Yael Wagner, Fedor Tatarinov, Dan Yakir, and Nadine Katrin Ruehr
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-142, https://doi.org/10.5194/bg-2023-142, 2023
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Ricky Mwangada Mwanake, Gretchen Maria Gettel, Elizabeth Gachibu Wangari, Clarissa Glaser, Tobias Houska, Lutz Breuer, Klaus Butterbach-Bahl, and Ralf Kiese
Biogeosciences, 20, 3395–3422, https://doi.org/10.5194/bg-20-3395-2023, https://doi.org/10.5194/bg-20-3395-2023, 2023
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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.
Aniket Gupta, Alix Reverdy, Jean-Martial Cohard, Basile Hector, Marc Descloitres, Jean-Pierre Vandervaere, Catherine Coulaud, Romain Biron, Lucie Liger, Reed Maxwell, Jean-Gabriel Valay, and Didier Voisin
Hydrol. Earth Syst. Sci., 27, 191–212, https://doi.org/10.5194/hess-27-191-2023, https://doi.org/10.5194/hess-27-191-2023, 2023
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Patchy snow cover during spring impacts mountainous ecosystems on a large range of spatio-temporal scales. A hydrological model simulated such snow patchiness at 10 m resolution. Slope and orientation controls precipitation, radiation, and wind generate differences in snowmelt, subsurface storage, streamflow, and evapotranspiration. The snow patchiness increases the duration of the snowmelt to stream and subsurface storage, which sustains the plants and streamflow later in the summer.
Wouter Dorigo, Irene Himmelbauer, Daniel Aberer, Lukas Schremmer, Ivana Petrakovic, Luca Zappa, Wolfgang Preimesberger, Angelika Xaver, Frank Annor, Jonas Ardö, Dennis Baldocchi, Marco Bitelli, Günter Blöschl, Heye Bogena, Luca Brocca, Jean-Christophe Calvet, J. Julio Camarero, Giorgio Capello, Minha Choi, Michael C. Cosh, Nick van de Giesen, Istvan Hajdu, Jaakko Ikonen, Karsten H. Jensen, Kasturi Devi Kanniah, Ileen de Kat, Gottfried Kirchengast, Pankaj Kumar Rai, Jenni Kyrouac, Kristine Larson, Suxia Liu, Alexander Loew, Mahta Moghaddam, José Martínez Fernández, Cristian Mattar Bader, Renato Morbidelli, Jan P. Musial, Elise Osenga, Michael A. Palecki, Thierry Pellarin, George P. Petropoulos, Isabella Pfeil, Jarrett Powers, Alan Robock, Christoph Rüdiger, Udo Rummel, Michael Strobel, Zhongbo Su, Ryan Sullivan, Torbern Tagesson, Andrej Varlagin, Mariette Vreugdenhil, Jeffrey Walker, Jun Wen, Fred Wenger, Jean Pierre Wigneron, Mel Woods, Kun Yang, Yijian Zeng, Xiang Zhang, Marek Zreda, Stephan Dietrich, Alexander Gruber, Peter van Oevelen, Wolfgang Wagner, Klaus Scipal, Matthias Drusch, and Roberto Sabia
Hydrol. Earth Syst. Sci., 25, 5749–5804, https://doi.org/10.5194/hess-25-5749-2021, https://doi.org/10.5194/hess-25-5749-2021, 2021
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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.
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.
Petra Lasch-Born, Felicitas Suckow, Christopher P. O. Reyer, Martin Gutsch, Chris Kollas, Franz-Werner Badeck, Harald K. M. Bugmann, Rüdiger Grote, Cornelia Fürstenau, Marcus Lindner, and Jörg Schaber
Geosci. Model Dev., 13, 5311–5343, https://doi.org/10.5194/gmd-13-5311-2020, https://doi.org/10.5194/gmd-13-5311-2020, 2020
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The process-based model 4C has been developed to study climate impacts on forests and is now freely available as an open-source tool. This paper provides a comprehensive description of the 4C version (v2.2) for scientific users of the model and presents an evaluation of 4C. The evaluation focused on forest growth, carbon water, and heat fluxes. We conclude that 4C is widely applicable, reliable, and ready to be released to the scientific community to use and further develop the model.
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.
Chris R. Flechard, Andreas Ibrom, Ute M. Skiba, Wim de Vries, Marcel van Oijen, David R. Cameron, Nancy B. Dise, Janne F. J. Korhonen, Nina Buchmann, Arnaud Legout, David Simpson, Maria J. Sanz, Marc Aubinet, Denis Loustau, Leonardo Montagnani, Johan Neirynck, Ivan A. Janssens, Mari Pihlatie, Ralf Kiese, Jan Siemens, André-Jean Francez, Jürgen Augustin, Andrej Varlagin, Janusz Olejnik, Radosław Juszczak, Mika Aurela, Daniel Berveiller, Bogdan H. Chojnicki, Ulrich Dämmgen, Nicolas Delpierre, Vesna Djuricic, Julia Drewer, Eric Dufrêne, Werner Eugster, Yannick Fauvel, David Fowler, Arnoud Frumau, André Granier, Patrick Gross, Yannick Hamon, Carole Helfter, Arjan Hensen, László Horváth, Barbara Kitzler, Bart Kruijt, Werner L. Kutsch, Raquel Lobo-do-Vale, Annalea Lohila, Bernard Longdoz, Michal V. Marek, Giorgio Matteucci, Marta Mitosinkova, Virginie Moreaux, Albrecht Neftel, Jean-Marc Ourcival, Kim Pilegaard, Gabriel Pita, Francisco Sanz, Jan K. Schjoerring, Maria-Teresa Sebastià, Y. Sim Tang, Hilde Uggerud, Marek Urbaniak, Netty van Dijk, Timo Vesala, Sonja Vidic, Caroline Vincke, Tamás Weidinger, Sophie Zechmeister-Boltenstern, Klaus Butterbach-Bahl, Eiko Nemitz, and Mark A. Sutton
Biogeosciences, 17, 1583–1620, https://doi.org/10.5194/bg-17-1583-2020, https://doi.org/10.5194/bg-17-1583-2020, 2020
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Experimental evidence from a network of 40 monitoring sites in Europe suggests that atmospheric nitrogen deposition to forests and other semi-natural vegetation impacts the carbon sequestration rates in ecosystems, as well as the net greenhouse gas balance including other greenhouse gases such as nitrous oxide and methane. Excess nitrogen deposition in polluted areas also leads to other environmental impacts such as nitrogen leaching to groundwater and other pollutant gaseous emissions.
Chris R. Flechard, Marcel van Oijen, David R. Cameron, Wim de Vries, Andreas Ibrom, Nina Buchmann, Nancy B. Dise, Ivan A. Janssens, Johan Neirynck, Leonardo Montagnani, Andrej Varlagin, Denis Loustau, Arnaud Legout, Klaudia Ziemblińska, Marc Aubinet, Mika Aurela, Bogdan H. Chojnicki, Julia Drewer, Werner Eugster, André-Jean Francez, Radosław Juszczak, Barbara Kitzler, Werner L. Kutsch, Annalea Lohila, Bernard Longdoz, Giorgio Matteucci, Virginie Moreaux, Albrecht Neftel, Janusz Olejnik, Maria J. Sanz, Jan Siemens, Timo Vesala, Caroline Vincke, Eiko Nemitz, Sophie Zechmeister-Boltenstern, Klaus Butterbach-Bahl, Ute M. Skiba, and Mark A. Sutton
Biogeosciences, 17, 1621–1654, https://doi.org/10.5194/bg-17-1621-2020, https://doi.org/10.5194/bg-17-1621-2020, 2020
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Nitrogen deposition from the atmosphere to unfertilized terrestrial vegetation such as forests can increase carbon dioxide uptake and favour carbon sequestration by ecosystems. However the data from observational networks are difficult to interpret in terms of a carbon-to-nitrogen response, because there are a number of other confounding factors, such as climate, soil physical properties and fertility, and forest age. We propose a model-based method to untangle the different influences.
Genki Katata, Rüdiger Grote, Matthias Mauder, Matthias J. Zeeman, and Masakazu Ota
Biogeosciences, 17, 1071–1085, https://doi.org/10.5194/bg-17-1071-2020, https://doi.org/10.5194/bg-17-1071-2020, 2020
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In this paper, we demonstrate that high physiological activity levels during the extremely warm winter are allocated into the below-ground biomass and only to a minor extent used for additional plant growth during early spring. This process is so far largely unaccounted for in scenario analysis using global terrestrial biosphere models, and it may lead to carbon accumulation in the soil and/or carbon loss from the soil as a response to global warming.
Tiphaine Chevallier, Kenji Fujisaki, Olivier Roupsard, Florian Guidat, Rintaro Kinoshita, Elias de Melo Viginio Filho, Peter Lehner, and Alain Albrecht
SOIL, 5, 315–332, https://doi.org/10.5194/soil-5-315-2019, https://doi.org/10.5194/soil-5-315-2019, 2019
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Soil organic carbon (SOC) is the largest terrestrial C stock. Andosols of volcanic areas hold particularly large stocks (e.g. from 24 to 72 kgC m−2 in the upper 2 m of soil) as determined via MIR spectrometry at our Costa Rican study site: a 1 km2 basin covered by coffee agroforestry. Andic soil properties explained this high variability, which did not correlate with stocks in the upper 20 cm of soil. Topography and pedogenesis are needed to understand the SOC stocks at landscape scales.
Erkan Ibraim, Benjamin Wolf, Eliza Harris, Rainer Gasche, Jing Wei, Longfei Yu, Ralf Kiese, Sarah Eggleston, Klaus Butterbach-Bahl, Matthias Zeeman, Béla Tuzson, Lukas Emmenegger, Johan Six, Stephan Henne, and Joachim Mohn
Biogeosciences, 16, 3247–3266, https://doi.org/10.5194/bg-16-3247-2019, https://doi.org/10.5194/bg-16-3247-2019, 2019
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Nitrous oxide (N2O) is an important greenhouse gas and the major stratospheric ozone-depleting substance; therefore, mitigation of anthropogenic N2O emissions is needed. To trace N2O-emitting source processes, in this study, we observed N2O isotopocules above an intensively managed grassland research site with a recently developed laser spectroscopy method. Our results indicate that the domain of denitrification or nitrifier denitrification was the major N2O source.
Eric Mougin, Mamadou Oumar Diawara, Nogmana Soumaguel, Ali Amadou Maïga, Valérie Demarez, Pierre Hiernaux, Manuela Grippa, Véronique Chaffard, and Abdramane Ba
Earth Syst. Sci. Data, 11, 675–686, https://doi.org/10.5194/essd-11-675-2019, https://doi.org/10.5194/essd-11-675-2019, 2019
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The leaf area index of Sahelian rangelands was measured between 2005 and 2017 in northern Mali. These observations collected over more than a decade, in a remote and not very accessible region, provide a relevant and unique data set that can be used for a better understanding of the Sahelian vegetation response to the current rainfall changes. The collected data can also be used for satellite product evaluation and land surface model validation.
Claire Delon, Corinne Galy-Lacaux, Dominique Serça, Erwan Personne, Eric Mougin, Marcellin Adon, Valérie Le Dantec, Benjamin Loubet, Rasmus Fensholt, and Torbern Tagesson
Biogeosciences, 16, 2049–2077, https://doi.org/10.5194/bg-16-2049-2019, https://doi.org/10.5194/bg-16-2049-2019, 2019
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In the Sahel region during the wet season, CO2 and NO are released to the atmosphere, and NH3 is deposited on the soil. During the dry season, processes are strongly reduced. This paper shows the temporal variation in these soil–atmosphere exchanges of trace gases for 2 years, their sharp increase when the first rains fall onto dry soils, and how microbial processes are involved. We use a modelling approach, which is necessary when continuous measurements are not possible in remote regions.
Basile Hector, Jean-Martial Cohard, Luc Séguis, Sylvie Galle, and Christophe Peugeot
Hydrol. Earth Syst. Sci., 22, 5867–5888, https://doi.org/10.5194/hess-22-5867-2018, https://doi.org/10.5194/hess-22-5867-2018, 2018
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The hydrological functioning of western African headwater wetlands remains poorly understood, despite their potential for small-scale farming and their role in streamflow production. We found that land cover changes significantly affect water budgets, and pedo-geological features control dry season baseflow. These are the results of virtual experiments with a physically based critical zone model evaluated against streamflow, evapotranspiration, soil moisture, water table and water storage data.
Martin Rückamp, Ulrike Falk, Katja Frieler, Stefan Lange, and Angelika Humbert
Earth Syst. Dynam., 9, 1169–1189, https://doi.org/10.5194/esd-9-1169-2018, https://doi.org/10.5194/esd-9-1169-2018, 2018
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Sea-level rise associated with changing climate is expected to pose a major challenge for societies. Based on the efforts of COP21 to limit global warming to 2.0 °C by the end of the 21st century (Paris Agreement), we simulate the future contribution of the Greenland ice sheet (GrIS) to sea-level change. The projected sea-level rise ranges between 21–38 mm by 2100
and 36–85 mm by 2300. Our results indicate that uncertainties in the projections stem from the underlying climate data.
Suzanne R. Jacobs, Edison Timbe, Björn Weeser, Mariana C. Rufino, Klaus Butterbach-Bahl, and Lutz Breuer
Hydrol. Earth Syst. Sci., 22, 4981–5000, https://doi.org/10.5194/hess-22-4981-2018, https://doi.org/10.5194/hess-22-4981-2018, 2018
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This study investigated how land use affects stream water sources and flow paths in an East African tropical montane area. Rainfall was identified as an important stream water source in the forest and smallholder agriculture sub-catchments, while springs were more important in the commercial tea plantation sub-catchment. However, 15 % or less of the stream water consisted of water with an age of less than 3 months, indicating that groundwater plays an important role in all land use types.
Christine Lac, Jean-Pierre Chaboureau, Valéry Masson, Jean-Pierre Pinty, Pierre Tulet, Juan Escobar, Maud Leriche, Christelle Barthe, Benjamin Aouizerats, Clotilde Augros, Pierre Aumond, Franck Auguste, Peter Bechtold, Sarah Berthet, Soline Bielli, Frédéric Bosseur, Olivier Caumont, Jean-Martial Cohard, Jeanne Colin, Fleur Couvreux, Joan Cuxart, Gaëlle Delautier, Thibaut Dauhut, Véronique Ducrocq, Jean-Baptiste Filippi, Didier Gazen, Olivier Geoffroy, François Gheusi, Rachel Honnert, Jean-Philippe Lafore, Cindy Lebeaupin Brossier, Quentin Libois, Thibaut Lunet, Céline Mari, Tomislav Maric, Patrick Mascart, Maxime Mogé, Gilles Molinié, Olivier Nuissier, Florian Pantillon, Philippe Peyrillé, Julien Pergaud, Emilie Perraud, Joris Pianezze, Jean-Luc Redelsperger, Didier Ricard, Evelyne Richard, Sébastien Riette, Quentin Rodier, Robert Schoetter, Léo Seyfried, Joël Stein, Karsten Suhre, Marie Taufour, Odile Thouron, Sandra Turner, Antoine Verrelle, Benoît Vié, Florian Visentin, Vincent Vionnet, and Philippe Wautelet
Geosci. Model Dev., 11, 1929–1969, https://doi.org/10.5194/gmd-11-1929-2018, https://doi.org/10.5194/gmd-11-1929-2018, 2018
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This paper presents the Meso-NH model version 5.4, which is an atmospheric non-hydrostatic research model that is applied on synoptic to turbulent scales. The model includes advanced numerical techniques and state-of-the-art physics parameterization schemes. It has been expanded to provide capabilities for a range of Earth system prediction applications such as chemistry and aerosols, electricity and lightning, hydrology, wildland fires, volcanic eruptions, and cyclones with ocean coupling.
Ulrike Falk, Damián A. López, and Adrián Silva-Busso
The Cryosphere, 12, 1211–1232, https://doi.org/10.5194/tc-12-1211-2018, https://doi.org/10.5194/tc-12-1211-2018, 2018
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The present study address the glacier–atmosphere relation on King George Island (South Shetland Islands) at the northern Antarctic Peninsula. The focus is on 5 years of glacier mass balance observations and the adaptation of a spatially distributed, physically based mass balance model. The focus is on the analysis of equilibrium line altitude and catchment runoff. The observed changes are expected to have a direct impact on environmental conditions in coastal waters and biota.
Francisco Fernandoy, Dieter Tetzner, Hanno Meyer, Guisella Gacitúa, Kirstin Hoffmann, Ulrike Falk, Fabrice Lambert, and Shelley MacDonell
The Cryosphere, 12, 1069–1090, https://doi.org/10.5194/tc-12-1069-2018, https://doi.org/10.5194/tc-12-1069-2018, 2018
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Through the geochemical analysis of the surface snow of a glacier at the northern tip of the Antarctic Peninsula, we aimed to investigate how atmosphere and ocean conditions of the surrounding region are varying under the present climate scenario. We found that meteorological conditions strongly depend on the extension of sea ice. Our results show a slight cooling of the surface air during the last decade at this site. However, the general warming tendency for the region is still on-going.
Clifton R. Sabajo, Guerric le Maire, Tania June, Ana Meijide, Olivier Roupsard, and Alexander Knohl
Biogeosciences, 14, 4619–4635, https://doi.org/10.5194/bg-14-4619-2017, https://doi.org/10.5194/bg-14-4619-2017, 2017
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From the analysis of MODIS and Landsat satellite data of the Jambi province in Indonesia, this first study on the effects of oil palm expansion on the surface temperature in Indonesia shows shows a local and regional warming effect caused by the expansion of oil palm plantations and other cash or tree crops between 2000 and 2015. The observed warming effects may affect ecosystem services, reduce water availabilty in the dry period and increase the vulnerability to fires in the province.
Laetitia Gal, Manuela Grippa, Pierre Hiernaux, Léa Pons, and Laurent Kergoat
Hydrol. Earth Syst. Sci., 21, 4591–4613, https://doi.org/10.5194/hess-21-4591-2017, https://doi.org/10.5194/hess-21-4591-2017, 2017
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The intense, prolonged Sahel drought has caused a widespread increase in surface runoff and surface waters like lakes or rivers, against all expectations. Using long-term observations and the Kineros2 hydrological model, we show that the runoff coefficient of the Agoufou watershed increased from ~ 0 to 5.5 % in 1950–2011. We attribute this phenomenon to a change in vegetation and soil surface properties, in response to the drought, rather than land–use change or rainfall regime intensification.
Tobias Houska, David Kraus, Ralf Kiese, and Lutz Breuer
Biogeosciences, 14, 3487–3508, https://doi.org/10.5194/bg-14-3487-2017, https://doi.org/10.5194/bg-14-3487-2017, 2017
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CO2 and N2O are two prominent GHGs contributing to global warming. We combined measurement and modelling to quantify GHG emissions from adjacent arable, forest and grassland sites in Germany. Measured emissions reveal seasonal patterns and management effects like fertilizer application, tillage, harvest and grazing. Modelling helps to estimate the magnitude and uncertainty of not measurable C and N fluxes and indicates missing input source, e.g. nitrate uptake from groundwater.
Torbern Tagesson, Jonas Ardö, Bernard Cappelaere, Laurent Kergoat, Abdulhakim Abdi, Stéphanie Horion, and Rasmus Fensholt
Biogeosciences, 14, 1333–1348, https://doi.org/10.5194/bg-14-1333-2017, https://doi.org/10.5194/bg-14-1333-2017, 2017
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Vegetation growth in semi-arid regions is an important sink for human-induced fossil fuel emissions of CO2 and this study addresses the strong need for improved understanding and spatially explicit estimates of CO2 uptake by semi-arid ecosystems. We show that a model incorporating photosynthetic parameters upscaled using satellite-based earth observation simulates CO2 uptake well for the Sahel, one of the largest semi-arid regions in the world.
Loise Wandera, Kaniska Mallick, Gerard Kiely, Olivier Roupsard, Matthias Peichl, and Vincenzo Magliulo
Hydrol. Earth Syst. Sci., 21, 197–215, https://doi.org/10.5194/hess-21-197-2017, https://doi.org/10.5194/hess-21-197-2017, 2017
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Upscaling instantaneous to daily evapotranspiration (ETi–ETd) is one of the central challenges in regional vegetation water-use mapping using polar orbiting satellites. Here we developed a robust ETi upscaling for global studies using the ratio between daily and instantaneous global radiation (RSd/RSi). Using data from 126 FLUXNET tower sites, this study demonstrated the RSd/RSi ratio to be the most robust factor explaining ETd/ETi variability across variable sky conditions and multiple biomes.
Rosa Maria Roman-Cuesta, Martin Herold, Mariana C. Rufino, Todd S. Rosenstock, Richard A. Houghton, Simone Rossi, Klaus Butterbach-Bahl, Stephen Ogle, Benjamin Poulter, Louis Verchot, Christopher Martius, and Sytze de Bruin
Biogeosciences, 13, 5799–5819, https://doi.org/10.5194/bg-13-5799-2016, https://doi.org/10.5194/bg-13-5799-2016, 2016
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The land use sector (AFOLU) is a pivotal component of countries' mitigation commitments under the Paris Agreement. Global land use data are therefore important to complement and fill in countries' data gaps. But how different are the existing AFOLU datasets and why? Here we contrast six AFOLU datasets for the tropics at different levels of aggregation (spatial, gases, emission sources) and point out possible reasons for the observed differences and the next steps to improve land use emissions.
Rosa Maria Roman-Cuesta, Mariana C. Rufino, Martin Herold, Klaus Butterbach-Bahl, Todd S. Rosenstock, Mario Herrero, Stephen Ogle, Changsheng Li, Benjamin Poulter, Louis Verchot, Christopher Martius, John Stuiver, and Sytze de Bruin
Biogeosciences, 13, 4253–4269, https://doi.org/10.5194/bg-13-4253-2016, https://doi.org/10.5194/bg-13-4253-2016, 2016
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This research provides spatial data on gross emissions from the land use sector for the tropical region for the period 2000–2005. This sector contributes up to 24 % of the global emissions, but there is little understanding of where the hotspots of emissions are, how uncertain they are, and what the human activities behind these emissions are. Data provided here should assist countries to identify priority areas for mitigation action and contrast the effectiveness of their current measures.
Boris Bonn, Erika von Schneidemesser, Dorota Andrich, Jörn Quedenau, Holger Gerwig, Anja Lüdecke, Jürgen Kura, Axel Pietsch, Christian Ehlers, Dieter Klemp, Claudia Kofahl, Rainer Nothard, Andreas Kerschbaumer, Wolfgang Junkermann, Rüdiger Grote, Tobias Pohl, Konradin Weber, Birgit Lode, Philipp Schönberger, Galina Churkina, Tim M. Butler, and Mark G. Lawrence
Atmos. Chem. Phys., 16, 7785–7811, https://doi.org/10.5194/acp-16-7785-2016, https://doi.org/10.5194/acp-16-7785-2016, 2016
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The distribution of air pollutants (gases and particles) have been investigated in different environments in Potsdam, Germany. Remarkable variations of the pollutants have been observed for distances of tens of meters by bicycles, vans and aircraft. Vegetated areas caused reductions depending on the pollutants, the vegetation type and dimensions. Our measurements show the pollutants to be of predominantly local origin, resulting in a huge challenge for common models to resolve.
Andrea Ghirardo, Junfei Xie, Xunhua Zheng, Yuesi Wang, Rüdiger Grote, Katja Block, Jürgen Wildt, Thomas Mentel, Astrid Kiendler-Scharr, Mattias Hallquist, Klaus Butterbach-Bahl, and Jörg-Peter Schnitzler
Atmos. Chem. Phys., 16, 2901–2920, https://doi.org/10.5194/acp-16-2901-2016, https://doi.org/10.5194/acp-16-2901-2016, 2016
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Trees can impact urban air quality. Large emissions of plant volatiles are emitted in Beijing as a stress response to the urban polluted environment, but their impacts on secondary particulate matter remain relatively low compared to those originated from anthropogenic activities. The present study highlights the importance of including stress-induced compounds when studying plant volatile emissions.
D. Fowler, C. E. Steadman, D. Stevenson, M. Coyle, R. M. Rees, U. M. Skiba, M. A. Sutton, J. N. Cape, A. J. Dore, M. Vieno, D. Simpson, S. Zaehle, B. D. Stocker, M. Rinaldi, M. C. Facchini, C. R. Flechard, E. Nemitz, M. Twigg, J. W. Erisman, K. Butterbach-Bahl, and J. N. Galloway
Atmos. Chem. Phys., 15, 13849–13893, https://doi.org/10.5194/acp-15-13849-2015, https://doi.org/10.5194/acp-15-13849-2015, 2015
Y. Fan, O. Roupsard, M. Bernoux, G. Le Maire, O. Panferov, M. M. Kotowska, and A. Knohl
Geosci. Model Dev., 8, 3785–3800, https://doi.org/10.5194/gmd-8-3785-2015, https://doi.org/10.5194/gmd-8-3785-2015, 2015
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A perennial crop model CLM-Palm is developed, including multilayer structure, phenology, and carbon and nitrogen allocation functions, for modeling an important oil palm agricultural system in the tropical regions. Simulated LAI, yield and NPP were calibrated and validated with multiple sites in Sumatra, Indonesia. The new model allows exploring the effects of tropical land use change, from natural ecosystems to monoculture plantations on carbon, water and energy cycles and regional climate.
M. Liu, M. Dannenmann, S. Lin, G. Saiz, G. Yan, Z. Yao, D. E. Pelster, H. Tao, S. Sippel, Y. Tao, Y. Zhang, X. Zheng, Q. Zuo, and K. Butterbach-Bahl
Biogeosciences, 12, 4831–4840, https://doi.org/10.5194/bg-12-4831-2015, https://doi.org/10.5194/bg-12-4831-2015, 2015
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We demonstrate for the first time that a ground cover rice production system (GCRPS) significantly increased soil organic C and total N stocks at spatially representative paired sites under varying edaphic conditions. Our results suggest that GCRPS is a stable and sustainable technique that maintains key soil functions, while increasing rice yield and expanding the cultivation into regions where it has been hampered by low seasonal temperatures and/or a lack of irrigation water.
T. Tagesson, R. Fensholt, S. Huber, S. Horion, I. Guiro, A. Ehammer, and J. Ardö
Biogeosciences, 12, 4621–4635, https://doi.org/10.5194/bg-12-4621-2015, https://doi.org/10.5194/bg-12-4621-2015, 2015
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Relationships between ecosystem properties of semi-arid savanna and reflected solar radiance between 35 and 1800nm were investigated. Normalised combinations of reflectance for the near infrared, shortwave infrared, and 600 to 700nm were strongly affected by solar and viewing angle effects. Ecosystem properties of savannas were strongly correlated with reflectance at 350-1800nm, and normalised combinations of reflectance were strong predictors of the savanna ecosystem properties.
C. Leauthaud, J. Demarty, B. Cappelaere, M. Grippa, L. Kergoat, C. Velluet, F. Guichard, E. Mougin, S. Chelbi, and B. Sultan
Proc. IAHS, 371, 195–201, https://doi.org/10.5194/piahs-371-195-2015, https://doi.org/10.5194/piahs-371-195-2015, 2015
Z. Yao, Y. Du, Y. Tao, X. Zheng, C. Liu, S. Lin, and K. Butterbach-Bahl
Biogeosciences, 11, 6221–6236, https://doi.org/10.5194/bg-11-6221-2014, https://doi.org/10.5194/bg-11-6221-2014, 2014
C. Werner, K. Reiser, M. Dannenmann, L. B. Hutley, J. Jacobeit, and K. Butterbach-Bahl
Biogeosciences, 11, 6047–6065, https://doi.org/10.5194/bg-11-6047-2014, https://doi.org/10.5194/bg-11-6047-2014, 2014
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Atmospheric loss of N from savanna soil was dominated by N2 emissions (82-99% of total N loss to atmosphere). Nitric oxide emissions significantly contributed at 50% WFPS; high temperatures and N2O emissions were negligible. Based on a simple upscale approach we estimated annual loss of N to the atmosphere at 7.5kg yr-1. N2O emission was low for most samples, but high for a small subset of cores at 75% WFPS (due to short periods where such conditions occur this has little effect on totals).
G. J. Luo, R. Kiese, B. Wolf, and K. Butterbach-Bahl
Biogeosciences, 10, 3205–3219, https://doi.org/10.5194/bg-10-3205-2013, https://doi.org/10.5194/bg-10-3205-2013, 2013
S. Metzger, W. Junkermann, M. Mauder, K. Butterbach-Bahl, B. Trancón y Widemann, F. Neidl, K. Schäfer, S. Wieneke, X. H. Zheng, H. P. Schmid, and T. Foken
Biogeosciences, 10, 2193–2217, https://doi.org/10.5194/bg-10-2193-2013, https://doi.org/10.5194/bg-10-2193-2013, 2013
D. R. Cameron, M. Van Oijen, C. Werner, K. Butterbach-Bahl, R. Grote, E. Haas, G. B. M. Heuvelink, R. Kiese, J. Kros, M. Kuhnert, A. Leip, G. J. Reinds, H. I. Reuter, M. J. Schelhaas, W. De Vries, and J. Yeluripati
Biogeosciences, 10, 1751–1773, https://doi.org/10.5194/bg-10-1751-2013, https://doi.org/10.5194/bg-10-1751-2013, 2013
N. Gharahi Ghehi, C. Werner, K. Hufkens, R. Kiese, E. Van Ranst, D. Nsabimana, G. Wallin, L. Klemedtsson, K. Butterbach-Bahl, and P. Boeckx
Biogeosciences Discuss., https://doi.org/10.5194/bgd-10-1483-2013, https://doi.org/10.5194/bgd-10-1483-2013, 2013
Revised manuscript not accepted
Related subject area
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Modeling boreal forest soil dynamics with the microbially explicit soil model MIMICS+ (v1.0)
Optimal enzyme allocation leads to the constrained enzyme hypothesis: the Soil Enzyme Steady Allocation Model (SESAM; v3.1)
Implementing a dynamic representation of fire and harvest including subgrid-scale heterogeneity in the tile-based land surface model CLASSIC v1.45
Inferring the tree regeneration niche from inventory data using a dynamic forest model
Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm
The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python
AgriCarbon-EO v1.0.1: large-scale and high-resolution simulation of carbon fluxes by assimilation of Sentinel-2 and Landsat-8 reflectances using a Bayesian approach
SAMM version 1.0: a numerical model for microbial- mediated soil aggregate formation
A model of the within-population variability of budburst in forest trees
Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models
The community-centered freshwater biogeochemistry model unified RIVE v1.0: a unified version for water column
Observation-based sowing dates and cultivars significantly affect yield and irrigation for some crops in the Community Land Model (CLM5)
The statistical emulators of GGCMI phase 2: responses of year-to-year variation of crop yield to CO2, temperature, water, and nitrogen perturbations
A novel Eulerian model based on central moments to simulate age and reactivity continua interacting with mixing processes
Dynamic ecosystem assembly and escaping the “fire-trap” in the tropics: Insights from FATES_15.0.0
AdaScape 1.0: a coupled modelling tool to investigate the links between tectonics, climate, and biodiversity
An along-track Biogeochemical Argo modelling framework: a case study of model improvements for the Nordic seas
A global behavioural model of human fire use and management: WHAM! v1.0
Peatland-VU-NUCOM (PVN 1.0): using dynamic plant functional types to model peatland vegetation, CH4, and CO2 emissions
Quantification of hydraulic trait control on plant hydrodynamics and risk of hydraulic failure within a demographic structured vegetation model in a tropical forest (FATES–HYDRO V1.0)
Simple process-led algorithms for simulating habitats (SPLASH v.2.0): calibration-free calculations of water and energy fluxes
biospheremetrics v1.0.1: An R package to calculate two complementary terrestrial biosphere integrity indicators: human colonization of the biosphere (BioCol) and risk of ecosystem destabilization (EcoRisk)
SedTrace 1.0: a Julia-based framework for generating and running reactive-transport models of marine sediment diagenesis specializing in trace elements and isotopes
A high-resolution marine mercury model MITgcm-ECCO2-Hg with online biogeochemistry
Improving nitrogen cycling in a land surface model (CLM5) to quantify soil N2O, NO, and NH3 emissions from enhanced rock weathering with croplands
Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3
In-silico calculation of soil pH by SCEPTER v1.0
Forcing the Global Fire Emissions Database burned-area dataset into the Community Land Model version 5.0: impacts on carbon and water fluxes at high latitudes
Modeling of non-structural carbohydrate dynamics by the spatially explicit individual-based dynamic global vegetation model SEIB-DGVM (SEIB-DGVM-NSC version 1.0)
Terrestrial Ecosystem Model in R (TEMIR) version 1.0: Simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes
MEDFATE 2.9.3: a trait-enabled model to simulate Mediterranean forest function and dynamics at regional scales
Modelling the role of livestock grazing in C and N cycling in grasslands with LPJmL5.0-grazing
Implementation of trait-based ozone plant sensitivity in the Yale Interactive terrestrial Biosphere model v1.0 to assess global vegetation damage
The Permafrost and Organic LayEr module for Forest Models (POLE-FM) 1.0
CompLaB v1.0: a scalable pore-scale model for flow, biogeochemistry, microbial metabolism, and biofilm dynamics
Validation of a new spatially explicit process-based model (HETEROFOR) to simulate structurally and compositionally complex forest stands in eastern North America
Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model
ForamEcoGEnIE 2.0: incorporating symbiosis and spine traits into a trait-based global planktic foraminiferal model
FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles
Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266)
Non-Redfieldian carbon model for the Baltic Sea (ERGOM version 1.2) – implementation and budget estimates
Implementation of a new crop phenology and irrigation scheme in the ISBA land surface model using SURFEX_v8.1
Simulating long-term responses of soil organic matter turnover to substrate stoichiometry by abstracting fast and small-scale microbial processes: the Soil Enzyme Steady Allocation Model (SESAM; v3.0)
Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0)
Forest fluxes and mortality response to drought: model description (ORCHIDEE-CAN-NHA r7236) and evaluation at the Caxiuanã drought experiment
Matrix representation of lateral soil movements: scaling and calibrating CE-DYNAM (v2) at a continental level
CANOPS-GRB v1.0: a new Earth system model for simulating the evolution of ocean–atmosphere chemistry over geologic timescales
Low sensitivity of three terrestrial biosphere models to soil texture over the South American tropics
FESDIA (v1.0): exploring temporal variations of sediment biogeochemistry under the influence of flood events using numerical modelling
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Elin Ristorp Aas, Heleen A. de Wit, and Terje K. Berntsen
Geosci. Model Dev., 17, 2929–2959, https://doi.org/10.5194/gmd-17-2929-2024, https://doi.org/10.5194/gmd-17-2929-2024, 2024
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By including microbial processes in soil models, we learn how the soil system interacts with its environment and responds to climate change. We present a soil process model, MIMICS+, which is able to reproduce carbon stocks found in boreal forest soils better than a conventional land model. With the model we also find that when adding nitrogen, the relationship between soil microbes changes notably. Coupling the model to a vegetation model will allow for further study of these mechanisms.
Thomas Wutzler, Christian Reimers, Bernhard Ahrens, and Marion Schrumpf
Geosci. Model Dev., 17, 2705–2725, https://doi.org/10.5194/gmd-17-2705-2024, https://doi.org/10.5194/gmd-17-2705-2024, 2024
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Soil microbes provide a strong link for elemental fluxes in the earth system. The SESAM model applies an optimality assumption to model those linkages and their adaptation. We found that a previous heuristic description was a special case of a newly developed more rigorous description. The finding of new behaviour at low microbial biomass led us to formulate the constrained enzyme hypothesis. We now can better describe how microbially mediated linkages of elemental fluxes adapt across decades.
Salvatore R. Curasi, Joe R. Melton, Elyn R. Humphreys, Txomin Hermosilla, and Michael A. Wulder
Geosci. Model Dev., 17, 2683–2704, https://doi.org/10.5194/gmd-17-2683-2024, https://doi.org/10.5194/gmd-17-2683-2024, 2024
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Canadian forests are responding to fire, harvest, and climate change. Models need to quantify these processes and their carbon and energy cycling impacts. We develop a scheme that, based on satellite records, represents fire, harvest, and the sparsely vegetated areas that these processes generate. We evaluate model performance and demonstrate the impacts of disturbance on carbon and energy cycling. This work has implications for land surface modeling and assessing Canada’s terrestrial C cycle.
Yannek Käber, Florian Hartig, and Harald Bugmann
Geosci. Model Dev., 17, 2727–2753, https://doi.org/10.5194/gmd-17-2727-2024, https://doi.org/10.5194/gmd-17-2727-2024, 2024
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Many forest models include detailed mechanisms of forest growth and mortality, but regeneration is often simplified. Testing and improving forest regeneration models is challenging. We address this issue by exploring how forest inventories from unmanaged European forests can be used to improve such models. We find that competition for light among trees is captured by the model, unknown model components can be informed by forest inventory data, and climatic effects are challenging to capture.
Jalisha T. Kallingal, Johan Lindström, Paul A. Miller, Janne Rinne, Maarit Raivonen, and Marko Scholze
Geosci. Model Dev., 17, 2299–2324, https://doi.org/10.5194/gmd-17-2299-2024, https://doi.org/10.5194/gmd-17-2299-2024, 2024
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By unlocking the mysteries of CH4 emissions from wetlands, our work improved the accuracy of the LPJ-GUESS vegetation model using Bayesian statistics. Via assimilation of long-term real data from a wetland, we significantly enhanced CH4 emission predictions. This advancement helps us better understand wetland contributions to atmospheric CH4, which are crucial for addressing climate change. Our method offers a promising tool for refining global climate models and guiding conservation efforts
Benjamin Post, Esteban Acevedo-Trejos, Andrew D. Barton, and Agostino Merico
Geosci. Model Dev., 17, 1175–1195, https://doi.org/10.5194/gmd-17-1175-2024, https://doi.org/10.5194/gmd-17-1175-2024, 2024
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Creating computational models of how phytoplankton grows in the ocean is a technical challenge. We developed a new tool set (Xarray-simlab-ODE) for building such models using the programming language Python. We demonstrate the tool set in a library of plankton models (Phydra). Our goal was to allow scientists to develop models quickly, while also allowing the model structures to be changed easily. This allows us to test many different structures of our models to find the most appropriate one.
Taeken Wijmer, Ahmad Al Bitar, Ludovic Arnaud, Remy Fieuzal, and Eric Ceschia
Geosci. Model Dev., 17, 997–1021, https://doi.org/10.5194/gmd-17-997-2024, https://doi.org/10.5194/gmd-17-997-2024, 2024
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Quantification of carbon fluxes of crops is an essential building block for the construction of a monitoring, reporting, and verification approach. We developed an end-to-end platform (AgriCarbon-EO) that assimilates, through a Bayesian approach, high-resolution (10 m) optical remote sensing data into radiative transfer and crop modelling at regional scale (100 x 100 km). Large-scale estimates of carbon flux are validated against in situ flux towers and yield maps and analysed at regional scale.
Moritz Laub, Sergey Blagodatsky, Marijn Van de Broek, Samuel Schlichenmaier, Benjapon Kunlanit, Johan Six, Patma Vityakon, and Georg Cadisch
Geosci. Model Dev., 17, 931–956, https://doi.org/10.5194/gmd-17-931-2024, https://doi.org/10.5194/gmd-17-931-2024, 2024
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To manage soil organic matter (SOM) sustainably, we need a better understanding of the role that soil microbes play in aggregate protection. Here, we propose the SAMM model, which connects soil aggregate formation to microbial growth. We tested it against data from a tropical long-term experiment and show that SAMM effectively represents the microbial growth, SOM, and aggregate dynamics and that it can be used to explore the importance of aggregate formation in SOM stabilization.
Jianhong Lin, Daniel Berveiller, Christophe François, Heikki Hänninen, Alexandre Morfin, Gaëlle Vincent, Rui Zhang, Cyrille Rathgeber, and Nicolas Delpierre
Geosci. Model Dev., 17, 865–879, https://doi.org/10.5194/gmd-17-865-2024, https://doi.org/10.5194/gmd-17-865-2024, 2024
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Currently, the high variability of budburst between individual trees is overlooked. The consequences of this neglect when projecting the dynamics and functioning of tree communities are unknown. Here we develop the first process-oriented model to describe the difference in budburst dates between individual trees in plant populations. Beyond budburst, the model framework provides a basis for studying the dynamics of phenological traits under climate change, from the individual to the community.
Skyler Kern, Mary E. McGuinn, Katherine M. Smith, Nadia Pinardi, Kyle E. Niemeyer, Nicole S. Lovenduski, and Peter E. Hamlington
Geosci. Model Dev., 17, 621–649, https://doi.org/10.5194/gmd-17-621-2024, https://doi.org/10.5194/gmd-17-621-2024, 2024
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Computational models are used to simulate the behavior of marine ecosystems. The models often have unknown parameters that need to be calibrated to accurately represent observational data. Here, we propose a novel approach to simultaneously determine a large set of parameters for a one-dimensional model of a marine ecosystem in the surface ocean at two contrasting sites. By utilizing global and local optimization techniques, we estimate many parameters in a computationally efficient manner.
Shuaitao Wang, Vincent Thieu, Gilles Billen, Josette Garnier, Marie Silvestre, Audrey Marescaux, Xingcheng Yan, and Nicolas Flipo
Geosci. Model Dev., 17, 449–476, https://doi.org/10.5194/gmd-17-449-2024, https://doi.org/10.5194/gmd-17-449-2024, 2024
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This paper presents unified RIVE v1.0, a unified version of the freshwater biogeochemistry model RIVE. It harmonizes different RIVE implementations, providing the referenced formalisms for microorganism activities to describe full biogeochemical cycles in the water column (e.g., carbon, nutrients, oxygen). Implemented as open-source projects in Python 3 (pyRIVE 1.0) and ANSI C (C-RIVE 0.32), unified RIVE v1.0 promotes and enhances collaboration among research teams and public services.
Sam S. Rabin, William J. Sacks, Danica L. Lombardozzi, Lili Xia, and Alan Robock
Geosci. Model Dev., 16, 7253–7273, https://doi.org/10.5194/gmd-16-7253-2023, https://doi.org/10.5194/gmd-16-7253-2023, 2023
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Climate models can help us simulate how the agricultural system will be affected by and respond to environmental change, but to be trustworthy they must realistically reproduce historical patterns. When farmers plant their crops and what varieties they choose will be important aspects of future adaptation. Here, we improve the crop component of a global model to better simulate observed growing seasons and examine the impacts on simulated crop yields and irrigation demand.
Weihang Liu, Tao Ye, Christoph Müller, Jonas Jägermeyr, James A. Franke, Haynes Stephens, and Shuo Chen
Geosci. Model Dev., 16, 7203–7221, https://doi.org/10.5194/gmd-16-7203-2023, https://doi.org/10.5194/gmd-16-7203-2023, 2023
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We develop a machine-learning-based crop model emulator with the inputs and outputs of multiple global gridded crop model ensemble simulations to capture the year-to-year variation of crop yield under future climate change. The emulator can reproduce the year-to-year variation of simulated yield given by the crop models under CO2, temperature, water, and nitrogen perturbations. Developing this emulator can provide a tool to project future climate change impact in a simple way.
Jurjen Rooze, Heewon Jung, and Hagen Radtke
Geosci. Model Dev., 16, 7107–7121, https://doi.org/10.5194/gmd-16-7107-2023, https://doi.org/10.5194/gmd-16-7107-2023, 2023
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Chemical particles in nature have properties such as age or reactivity. Distributions can describe the properties of chemical concentrations. In nature, they are affected by mixing processes, such as chemical diffusion, burrowing animals, and bottom trawling. We derive equations for simulating the effect of mixing on central moments that describe the distributions. We then demonstrate applications in which these equations are used to model continua in disturbed natural environments.
Jacquelyn K. Shuman, Rosie A. Fisher, Charles D. Koven, Ryan G. Knox, Lara M. Kueppers, and Chonggang Xu
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-191, https://doi.org/10.5194/gmd-2023-191, 2023
Revised manuscript accepted for GMD
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We adapt a fire-behavior and effects module for use in a size-structured vegetation demographic model to test how climate, fire regime and fire-tolerance plant traits interact to determine the distribution of tropical forests and grasslands. Our model captures the connection between fire disturbance and plant fire-tolerance strategies in determining plant distribution and provides a useful tool for understanding the vulnerability of these areas under changing conditions across the tropics.
Esteban Acevedo-Trejos, Jean Braun, Katherine Kravitz, N. Alexia Raharinirina, and Benoît Bovy
Geosci. Model Dev., 16, 6921–6941, https://doi.org/10.5194/gmd-16-6921-2023, https://doi.org/10.5194/gmd-16-6921-2023, 2023
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The interplay of tectonics and climate influences the evolution of life and the patterns of biodiversity we observe on earth's surface. Here we present an adaptive speciation component coupled with a landscape evolution model that captures the essential earth-surface, ecological, and evolutionary processes that lead to the diversification of taxa. We can illustrate with our tool how life and landforms co-evolve to produce distinct biodiversity patterns on geological timescales.
Veli Çağlar Yumruktepe, Erik Askov Mousing, Jerry Tjiputra, and Annette Samuelsen
Geosci. Model Dev., 16, 6875–6897, https://doi.org/10.5194/gmd-16-6875-2023, https://doi.org/10.5194/gmd-16-6875-2023, 2023
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We present an along BGC-Argo track 1D modelling framework. The model physics is constrained by the BGC-Argo temperature and salinity profiles to reduce the uncertainties related to mixed layer dynamics, allowing the evaluation of the biogeochemical formulation and parameterization. We objectively analyse the model with BGC-Argo and satellite data and improve the model biogeochemical dynamics. We present the framework, example cases and routines for model improvement and implementations.
Oliver Perkins, Matthew Kasoar, Apostolos Voulgarakis, Cathy Smith, Jay Mistry, and James Millington
EGUsphere, https://doi.org/10.5194/egusphere-2023-2162, https://doi.org/10.5194/egusphere-2023-2162, 2023
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Wildfire is often presented in the media as a danger to human life. Yet globally, millions of people’s livelihoods depend on using fire as a tool. So, patterns of fire emerge from interactions between humans, land use and climate. This complexity means scientists cannot yet reliably say how fire will be impacted by climate change. So, we developed a new model that represents globally how people use and manage fire. The model reveals the extent and diversity of how humans live with and use fire.
Tanya J. R. Lippmann, Ype van der Velde, Monique M. P. D. Heijmans, Han Dolman, Dimmie M. D. Hendriks, and Ko van Huissteden
Geosci. Model Dev., 16, 6773–6804, https://doi.org/10.5194/gmd-16-6773-2023, https://doi.org/10.5194/gmd-16-6773-2023, 2023
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Vegetation is a critical component of carbon storage in peatlands but an often-overlooked concept in many peatland models. We developed a new model capable of simulating the response of vegetation to changing environments and management regimes. We evaluated the model against observed chamber data collected at two peatland sites. We found that daily air temperature, water level, harvest frequency and height, and vegetation composition drive methane and carbon dioxide emissions.
Chonggang Xu, Bradley Christoffersen, Zachary Robbins, Ryan Knox, Rosie A. Fisher, Rutuja Chitra-Tarak, Martijn Slot, Kurt Solander, Lara Kueppers, Charles Koven, and Nate McDowell
Geosci. Model Dev., 16, 6267–6283, https://doi.org/10.5194/gmd-16-6267-2023, https://doi.org/10.5194/gmd-16-6267-2023, 2023
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We introduce a plant hydrodynamic model for the U.S. Department of Energy (DOE)-sponsored model, the Functionally Assembled Terrestrial Ecosystem Simulator (FATES). To better understand this new model system and its functionality in tropical forest ecosystems, we conducted a global parameter sensitivity analysis at Barro Colorado Island, Panama. We identified the key parameters that affect the simulated plant hydrodynamics to guide both modeling and field campaign studies.
David Sandoval, Iain Colin Prentice, and Rodolfo L. B. Nóbrega
EGUsphere, https://doi.org/10.5194/egusphere-2023-1626, https://doi.org/10.5194/egusphere-2023-1626, 2023
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Numerous estimations of water and energy balances heavily depend on empirical equations that necessitate site-specific calibration. This equifinality poses the risk of obtaining 'right answers for wrong reasons.' In this paper, we introduce novel formulations based on first-principles to calculate calibration-free quantities, such as net radiation, evapotranspiration, condensation, soil water content, surface runoff, subsurface lateral flow, and snow-water equivalent.
Fabian Stenzel, Johanna Braun, Jannes Breier, Karlheinz Erb, Dieter Gerten, Jens Heinke, Sarah Matej, Sebastian Ostberg, Sibyll Schaphoff, and Wolfgang Lucht
EGUsphere, https://doi.org/10.5194/egusphere-2023-2503, https://doi.org/10.5194/egusphere-2023-2503, 2023
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We provide an R package to compute two biosphere integrity metrics that can be applied to simulations of vegetation growth from the dynamic global vegetation model LPJmL. The pressure metric BioCol indicates that we humans modify and extract >25 % of the potential pre-industrial natural biomass production. The ecosystems state metric EcoRisk shows a high risk of ecosystem destabilization in many regions as a result of land, water, and fertilizer use, as well as climate change.
Jianghui Du
Geosci. Model Dev., 16, 5865–5894, https://doi.org/10.5194/gmd-16-5865-2023, https://doi.org/10.5194/gmd-16-5865-2023, 2023
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Trace elements and isotopes (TEIs) are important tools to study the changes in the ocean environment both today and in the past. However, the behaviors of TEIs in marine sediments are poorly known, limiting our ability to use them in oceanography. Here we present a modeling framework that can be used to generate and run models of the sedimentary cycling of TEIs assisted with advanced numerical tools in the Julia language, lowering the coding barrier for the general user to study marine TEIs.
Siyu Zhu, Peipei Wu, Siyi Zhang, Oliver Jahn, Shu Li, and Yanxu Zhang
Geosci. Model Dev., 16, 5915–5929, https://doi.org/10.5194/gmd-16-5915-2023, https://doi.org/10.5194/gmd-16-5915-2023, 2023
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In this study, we estimate the global biogeochemical cycling of Hg in a state-of-the-art physical-ecosystem ocean model (high-resolution-MITgcm/Hg), providing a more accurate portrayal of surface Hg concentrations in estuarine and coastal areas, strong western boundary flow and upwelling areas, and concentration diffusion as vortex shapes. The high-resolution model can help us better predict the transport and fate of Hg in the ocean and its impact on the global Hg cycle.
Maria Val Martin, Elena Blanc-Betes, Ka Ming Fung, Euripides P. Kantzas, Ilsa B. Kantola, Isabella Chiaravalloti, Lyla L. Taylor, Louisa K. Emmons, William R. Wieder, Noah J. Planavsky, Michael D. Masters, Evan H. DeLucia, Amos P. K. Tai, and David J. Beerling
Geosci. Model Dev., 16, 5783–5801, https://doi.org/10.5194/gmd-16-5783-2023, https://doi.org/10.5194/gmd-16-5783-2023, 2023
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Enhanced rock weathering (ERW) is a CO2 removal strategy that involves applying crushed rocks (e.g., basalt) to agricultural soils. However, unintended processes within the N cycle due to soil pH changes may affect the climate benefits of C sequestration. ERW could drive changes in soil emissions of non-CO2 GHGs (N2O) and trace gases (NO and NH3) that may affect air quality. We present a new improved N cycling scheme for the land model (CLM5) to evaluate ERW effects on soil gas N emissions.
Özgür Gürses, Laurent Oziel, Onur Karakuş, Dmitry Sidorenko, Christoph Völker, Ying Ye, Moritz Zeising, Martin Butzin, and Judith Hauck
Geosci. Model Dev., 16, 4883–4936, https://doi.org/10.5194/gmd-16-4883-2023, https://doi.org/10.5194/gmd-16-4883-2023, 2023
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This paper assesses the biogeochemical model REcoM3 coupled to the ocean–sea ice model FESOM2.1. The model can be used to simulate the carbon uptake or release of the ocean on timescales of several hundred years. A detailed analysis of the nutrients, ocean productivity, and ecosystem is followed by the carbon cycle. The main conclusion is that the model performs well when simulating the observed mean biogeochemical state and variability and is comparable to other ocean–biogeochemical models.
Yoshiki Kanzaki, Isabella Chiaravalloti, Shuang Zhang, Noah J. Planavsky, and Christopher T. Reinhard
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-137, https://doi.org/10.5194/gmd-2023-137, 2023
Revised manuscript accepted for GMD
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Soil pH is one of the most commonly measured agronomical and biogeochemical indices, mostly reflecting exchangeable acidity. Explicit simulation of both porewater pH and bulk soil pH is thus crucial to accurate evaluation of alkalinity required to counteract soil acidification and resulting capture of anthropogenic carbon dioxide through the Enhanced Rock Weathering technique. This has been enabled by the updated reactive-transport SCEPTER code and newly developed framework to simulate soil pH.
Hocheol Seo and Yeonjoo Kim
Geosci. Model Dev., 16, 4699–4713, https://doi.org/10.5194/gmd-16-4699-2023, https://doi.org/10.5194/gmd-16-4699-2023, 2023
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Wildfire is a crucial factor in carbon and water fluxes on the Earth system. About 2.1 Pg of carbon is released into the atmosphere by wildfires annually. Because the fire processes are still limitedly represented in land surface models, we forced the daily GFED4 burned area into the land surface model over Alaska and Siberia. The results with the GFED4 burned area significantly improved the simulated carbon emissions and net ecosystem exchange compared to the default simulation.
Hideki Ninomiya, Tomomichi Kato, Lea Végh, and Lan Wu
Geosci. Model Dev., 16, 4155–4170, https://doi.org/10.5194/gmd-16-4155-2023, https://doi.org/10.5194/gmd-16-4155-2023, 2023
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Non-structural carbohydrates (NSCs) play a crucial role in plants to counteract the effects of climate change. We added a new NSC module into the SEIB-DGVM, an individual-based ecosystem model. The simulated NSC levels and their seasonal patterns show a strong agreement with observed NSC data at both point and global scales. The model can be used to simulate the biotic effects resulting from insufficient NSCs, which are otherwise difficult to measure in terrestrial ecosystems globally.
Amos P. K. Tai, David H. Y. Yung, and Timothy Lam
EGUsphere, https://doi.org/10.5194/egusphere-2023-1287, https://doi.org/10.5194/egusphere-2023-1287, 2023
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We have developed the Terrestrial Ecosystem Model in R (TEMIR), which simulates plant carbon and pollutant uptake and predict their response to varying atmospheric conditions. This model is designed to couple with an atmospheric chemistry model so that important questions related to plant-atmosphere interactions can be addressed, such as the effects of rising CO2 and ozone pollution on carbon uptake of the biosphere. The model has been well validated with both ground and satellite observations.
Miquel De Cáceres, Roberto Molowny-Horas, Antoine Cabon, Jordi Martínez-Vilalta, Maurizio Mencuccini, Raúl García-Valdés, Daniel Nadal-Sala, Santiago Sabaté, Nicolas Martin-StPaul, Xavier Morin, Francesco D'Adamo, Enric Batllori, and Aitor Améztegui
Geosci. Model Dev., 16, 3165–3201, https://doi.org/10.5194/gmd-16-3165-2023, https://doi.org/10.5194/gmd-16-3165-2023, 2023
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Regional-level applications of dynamic vegetation models are challenging because they need to accommodate the variation in plant functional diversity. This can be done by estimating parameters from available plant trait databases while adopting alternative solutions for missing data. Here we present the design, parameterization and evaluation of MEDFATE (version 2.9.3), a novel model of forest dynamics for its application over a region in the western Mediterranean Basin.
Jens Heinke, Susanne Rolinski, and Christoph Müller
Geosci. Model Dev., 16, 2455–2475, https://doi.org/10.5194/gmd-16-2455-2023, https://doi.org/10.5194/gmd-16-2455-2023, 2023
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We develop a livestock module for the global vegetation model LPJmL5.0 to simulate the impact of grazing dairy cattle on carbon and nitrogen cycles in grasslands. A novelty of the approach is that it accounts for the effect of feed quality on feed uptake and feed utilization by animals. The portioning of dietary nitrogen into milk, feces, and urine shows very good agreement with estimates obtained from animal trials.
Yimian Ma, Xu Yue, Stephen Sitch, Nadine Unger, Johan Uddling, Lina M. Mercado, Cheng Gong, Zhaozhong Feng, Huiyi Yang, Hao Zhou, Chenguang Tian, Yang Cao, Yadong Lei, Alexander W. Cheesman, Yansen Xu, and Maria Carolina Duran Rojas
Geosci. Model Dev., 16, 2261–2276, https://doi.org/10.5194/gmd-16-2261-2023, https://doi.org/10.5194/gmd-16-2261-2023, 2023
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Plants have been found to respond differently to O3, but the variations in the sensitivities have rarely been explained nor fully implemented in large-scale assessment. This study proposes a new O3 damage scheme with leaf mass per area to unify varied sensitivities for all plant species. Our assessment reveals an O3-induced reduction of 4.8 % in global GPP, with the highest reduction of >10 % for cropland, suggesting an emerging risk of crop yield loss under the threat of O3 pollution.
Winslow D. Hansen, Adrianna Foster, Benjamin Gaglioti, Rupert Seidl, and Werner Rammer
Geosci. Model Dev., 16, 2011–2036, https://doi.org/10.5194/gmd-16-2011-2023, https://doi.org/10.5194/gmd-16-2011-2023, 2023
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Permafrost and the thick soil-surface organic layers that insulate permafrost are important controls of boreal forest dynamics and carbon cycling. However, both are rarely included in process-based vegetation models used to simulate future ecosystem trajectories. To address this challenge, we developed a computationally efficient permafrost and soil organic layer module that operates at fine spatial (1 ha) and temporal (daily) resolutions.
Heewon Jung, Hyun-Seob Song, and Christof Meile
Geosci. Model Dev., 16, 1683–1696, https://doi.org/10.5194/gmd-16-1683-2023, https://doi.org/10.5194/gmd-16-1683-2023, 2023
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Microbial activity responsible for many chemical transformations depends on environmental conditions. These can vary locally, e.g., between poorly connected pores in porous media. We present a modeling framework that resolves such small spatial scales explicitly, accounts for feedback between transport and biogeochemical conditions, and can integrate state-of-the-art representations of microbes in a computationally efficient way, making it broadly applicable in science and engineering use cases.
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.
Maureen Beaudor, Nicolas Vuichard, Juliette Lathière, Nikolaos Evangeliou, Martin Van Damme, Lieven Clarisse, and Didier Hauglustaine
Geosci. Model Dev., 16, 1053–1081, https://doi.org/10.5194/gmd-16-1053-2023, https://doi.org/10.5194/gmd-16-1053-2023, 2023
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Ammonia mainly comes from the agricultural sector, and its volatilization relies on environmental variables. Our approach aims at benefiting from an Earth system model framework to estimate it. By doing so, we represent a consistent spatial distribution of the emissions' response to environmental changes.
We greatly improved the seasonal cycle of emissions compared with previous work. In addition, our model includes natural soil emissions (that are rarely represented in modeling approaches).
Rui Ying, Fanny M. Monteiro, Jamie D. Wilson, and Daniela N. Schmidt
Geosci. Model Dev., 16, 813–832, https://doi.org/10.5194/gmd-16-813-2023, https://doi.org/10.5194/gmd-16-813-2023, 2023
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Planktic foraminifera are marine-calcifying zooplankton; their shells are widely used to measure past temperature and productivity. We developed ForamEcoGEnIE 2.0 to simulate the four subgroups of this organism. We found that the relative abundance distribution agrees with marine sediment core-top data and that carbon export and biomass are close to sediment trap and plankton net observations respectively. This model provides the opportunity to study foraminiferal ecology in any geological era.
Onur Kerimoglu, Markus Pahlow, Prima Anugerahanti, and Sherwood Lan Smith
Geosci. Model Dev., 16, 95–108, https://doi.org/10.5194/gmd-16-95-2023, https://doi.org/10.5194/gmd-16-95-2023, 2023
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In classical models that track the changes in the elemental composition of phytoplankton, additional state variables are required for each element resolved. In this study, we show how the behavior of such an explicit model can be approximated using an
instantaneous acclimationapproach, in which the elemental composition of the phytoplankton is assumed to adjust to an optimal value instantaneously. Through rigorous tests, we evaluate the consistency of this scheme.
Yuan Zhang, Devaraju Narayanappa, Philippe Ciais, Wei Li, Daniel Goll, Nicolas Vuichard, Martin G. De Kauwe, Laurent Li, and Fabienne Maignan
Geosci. Model Dev., 15, 9111–9125, https://doi.org/10.5194/gmd-15-9111-2022, https://doi.org/10.5194/gmd-15-9111-2022, 2022
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There are a few studies to examine if current models correctly represented the complex processes of transpiration. Here, we use a coefficient Ω, which indicates if transpiration is mainly controlled by vegetation processes or by turbulence, to evaluate the ORCHIDEE model. We found a good performance of ORCHIDEE, but due to compensation of biases in different processes, we also identified how different factors control Ω and where the model is wrong. Our method is generic to evaluate other models.
Thomas Neumann, Hagen Radtke, Bronwyn Cahill, Martin Schmidt, and Gregor Rehder
Geosci. Model Dev., 15, 8473–8540, https://doi.org/10.5194/gmd-15-8473-2022, https://doi.org/10.5194/gmd-15-8473-2022, 2022
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Marine ecosystem models are usually constrained by the elements nitrogen and phosphorus and consider carbon in organic matter in a fixed ratio. Recent observations show a substantial deviation from the simulated carbon cycle variables. In this study, we present a marine ecosystem model for the Baltic Sea which allows for a flexible uptake ratio for carbon, nitrogen, and phosphorus. With this extension, the model reflects much more reasonable variables of the marine carbon cycle.
Arsène Druel, Simon Munier, Anthony Mucia, Clément Albergel, and Jean-Christophe Calvet
Geosci. Model Dev., 15, 8453–8471, https://doi.org/10.5194/gmd-15-8453-2022, https://doi.org/10.5194/gmd-15-8453-2022, 2022
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Crop phenology and irrigation is implemented into a land surface model able to work at a global scale. A case study is presented over Nebraska (USA). Simulations with and without the new scheme are compared to different satellite-based observations. The model is able to produce a realistic yearly irrigation water amount. The irrigation scheme improves the simulated leaf area index, gross primary productivity, evapotransipiration, and land surface temperature.
Thomas Wutzler, Lin Yu, Marion Schrumpf, and Sönke Zaehle
Geosci. Model Dev., 15, 8377–8393, https://doi.org/10.5194/gmd-15-8377-2022, https://doi.org/10.5194/gmd-15-8377-2022, 2022
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Soil microbes process soil organic matter and affect carbon storage and plant nutrition at the ecosystem scale. We hypothesized that decadal dynamics is constrained by the ratios of elements in litter inputs, microbes, and matter and that microbial community optimizes growth. This allowed the SESAM model to descibe decadal-term carbon sequestration in soils and other biogeochemical processes explicitly accounting for microbial processes but without its problematic fine-scale parameterization.
Ensheng Weng, Igor Aleinov, Ram Singh, Michael J. Puma, Sonali S. McDermid, Nancy Y. Kiang, Maxwell Kelley, Kevin Wilcox, Ray Dybzinski, Caroline E. Farrior, Stephen W. Pacala, and Benjamin I. Cook
Geosci. Model Dev., 15, 8153–8180, https://doi.org/10.5194/gmd-15-8153-2022, https://doi.org/10.5194/gmd-15-8153-2022, 2022
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We develop a demographic vegetation model to improve the representation of terrestrial vegetation dynamics and ecosystem biogeochemical cycles in the Goddard Institute for Space Studies ModelE. The individual-based competition for light and soil resources makes the modeling of eco-evolutionary optimality possible. This model will enable ModelE to simulate long-term biogeophysical and biogeochemical feedbacks between the climate system and land ecosystems at decadal to centurial temporal scales.
Yitong Yao, Emilie Joetzjer, Philippe Ciais, Nicolas Viovy, Fabio Cresto Aleina, Jerome Chave, Lawren Sack, Megan Bartlett, Patrick Meir, Rosie Fisher, and Sebastiaan Luyssaert
Geosci. Model Dev., 15, 7809–7833, https://doi.org/10.5194/gmd-15-7809-2022, https://doi.org/10.5194/gmd-15-7809-2022, 2022
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To facilitate more mechanistic modeling of drought effects on forest dynamics, our study implements a hydraulic module to simulate the vertical water flow, change in water storage and percentage loss of stem conductance (PLC). With the relationship between PLC and tree mortality, our model can successfully reproduce the large biomass drop observed under throughfall exclusion. Our hydraulic module provides promising avenues benefiting the prediction for mortality under future drought events.
Arthur Nicolaus Fendrich, Philippe Ciais, Emanuele Lugato, Marco Carozzi, Bertrand Guenet, Pasquale Borrelli, Victoria Naipal, Matthew McGrath, Philippe Martin, and Panos Panagos
Geosci. Model Dev., 15, 7835–7857, https://doi.org/10.5194/gmd-15-7835-2022, https://doi.org/10.5194/gmd-15-7835-2022, 2022
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Currently, spatially explicit models for soil carbon stock can simulate the impacts of several changes. However, they do not incorporate the erosion, lateral transport, and deposition (ETD) of soil material. The present work developed ETD formulation, illustrated model calibration and validation for Europe, and presented the results for a depositional site. We expect that our work advances ETD models' description and facilitates their reproduction and incorporation in land surface models.
Kazumi Ozaki, Devon B. Cole, Christopher T. Reinhard, and Eiichi Tajika
Geosci. Model Dev., 15, 7593–7639, https://doi.org/10.5194/gmd-15-7593-2022, https://doi.org/10.5194/gmd-15-7593-2022, 2022
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A new biogeochemical model (CANOPS-GRB v1.0) for assessing the redox stability and dynamics of the ocean–atmosphere system on geologic timescales has been developed. In this paper, we present a full description of the model and its performance. CANOPS-GRB is a useful tool for understanding the factors regulating atmospheric O2 level and has the potential to greatly refine our current understanding of Earth's oxygenation history.
Félicien Meunier, Wim Verbruggen, Hans Verbeeck, and Marc Peaucelle
Geosci. Model Dev., 15, 7573–7591, https://doi.org/10.5194/gmd-15-7573-2022, https://doi.org/10.5194/gmd-15-7573-2022, 2022
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Drought stress occurs in plants when water supply (i.e. root water uptake) is lower than the water demand (i.e. atmospheric demand). It is strongly related to soil properties and expected to increase in intensity and frequency in the tropics due to climate change. In this study, we show that contrary to the expectations, state-of-the-art terrestrial biosphere models are mostly insensitive to soil texture and hence probably inadequate to reproduce in silico the plant water status in drying soils.
Stanley I. Nmor, Eric Viollier, Lucie Pastor, Bruno Lansard, Christophe Rabouille, and Karline Soetaert
Geosci. Model Dev., 15, 7325–7351, https://doi.org/10.5194/gmd-15-7325-2022, https://doi.org/10.5194/gmd-15-7325-2022, 2022
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The coastal marine environment serves as a transition zone in the land–ocean continuum and is susceptible to episodic phenomena such as flash floods, which cause massive organic matter deposition. Here, we present a model of sediment early diagenesis that explicitly describes this type of deposition while also incorporating unique flood deposit characteristics. This model can be used to investigate the temporal evolution of marine sediments following abrupt changes in environmental conditions.
Shanlin Tong, Weiguang Wang, Jie Chen, Chong-Yu Xu, Hisashi Sato, and Guoqing Wang
Geosci. Model Dev., 15, 7075–7098, https://doi.org/10.5194/gmd-15-7075-2022, https://doi.org/10.5194/gmd-15-7075-2022, 2022
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Plant carbon storage potential is central to moderate atmospheric CO2 concentration buildup and mitigation of climate change. There is an ongoing debate about the main driver of carbon storage. To reconcile this discrepancy, we use SEIB-DGVM to investigate the trend and response mechanism of carbon stock fractions among water limitation regions. Results show that the impact of CO2 and temperature on carbon stock depends on water limitation, offering a new perspective on carbon–water coupling.
Cited articles
Ago, E. E.: Dynamique des flux de carbone entre l'atmosphère et des
écosystèmes ouest-africains: cas des forêts et savanes sous
climat soudanien au Bénin, Doctorat en Sciences Agronomiques et
Ingénierie Biologique, Université de Liège, Gembloux, Belgique,
184 pp., 2016.
Ago, E. E., Agbossou, E. K., Galle, S., Cohard, J.-M., Heinesch, B., and
Aubinet, M.: Long term observations of carbon dioxide exchange over
cultivated savanna under a Sudanian climate in Benin (West Africa), Agric.
Forest Meteorol., 197, 13–25, https://doi.org/10.1016/j.agrformet.2014.06.005, 2014.
Ago, E. E., Agbossou, E. K., Cohard, J.-M., Galle, S., and Aubinet, M.:
Response of CO2 fluxes and productivity to water availability in two
contrasting ecosystems in northern Benin (West Africa), Ann. For. Sci., 73,
483–500, https://doi.org/10.1007/s13595-016-0542-9, 2016.
Ahlström, A., Raupach, M. R., Schurgers, G., Smith, B., Arneth, A.,
Jung, M., Reichstein, M., Canadell, J. G., Friedlingstein, P., Jain, A. K.,
Kato, E., Poulter, B., Sitch, S., Stocker, B. D., Viovy, N., Wang, Y. P.,
Wiltshire, A., Zaehle, S., and Zeng, N.: The dominant role of semi-arid
ecosystems in the trend and variability of the land CO2 sink, Science,
348, 895–899, https://doi.org/10.1126/science.aaa1668, 2015.
Ainsworth, E. A. and Rogers, A.: The response of photosynthesis and
stomatal conductance to rising [CO2]: mechanisms and environmental
interactions, Plant Cell Environ., 30, 258–270,
https://doi.org/10.1111/j.1365-3040.2007.01641.x, 2007.
Akponikpè, P. B. I., Gérard, B., Michels, K., and Bielders, C.: Use
of the APSIM model in long term simulation to support decision making
regarding nitrogen management for pearl millet in the Sahel, European
J. Agronomy, 32, 144–154, https://doi.org/10.1016/j.eja.2009.09.005, 2010.
Baldocchi, D. and Meyers, T.: On using eco-physiological,
micrometeorological and biogeochemical theory to evaluate carbon dioxide,
water vapor and trace gas fluxes over vegetation: a perspective, Agric.
Forest Meteorol., 90, 1–25, https://doi.org/10.1016/S0168-1923(97)00072-5, 1998.
Baldocchi, D. and Xu, L.: Carbon exchange of deciduous broadleaved forests
in temperate and Mediterranean regions, in: The Carbon Balance of Forest
Biomes, edited by: Griffiths, H. and Jarvis, P. J., Garland Science/BIOS
Scientific Publishers, London, 187–213, 2005.
Baldocchi, D. D., Xu, L., and Kiang, N.: How plant functional-type, weather,
seasonal drought, and soil physical properties alter water and energy fluxes
of an oak-grass savanna and an annual grassland, Agric. Forest Meteorol.,
123, 13–39, https://doi.org/10.1016/j.agrformet.2003.11.006, 2004.
Ball, J. T., Woodrow, I. E., and Berry, J. A.: A model predicting stomatal
conductance and its contribution to the control of photosynthesis under
different environmental conditions, in: Prog. Photosyn. Res., edited by:
Biggins, J., Martinus-Nijhoff Publishers, Dordrecht, the Netherlands,
221–224, 1987.
Batjes, N. H.: Harmonized soil profile data for applications at global and
continental scales: updates to the WISE database, Soil Use Manage.,
25, 124–127, https://doi.org/10.1111/j.1475-2743.2009.00202.x, 2008.
Baup, F., Mougin, E., de Rosnay, P., Timouk, F., and Chênerie, I.:
Surface soil moisture estimation over the AMMA Sahelian site in Mali using
ENVISAT/ASAR data, Remote. Sens. Environ., 109, 473–481,
https://doi.org/10.1016/j.rse.2007.01.015, 2007.
Bauters, M., Drake, T. W., Verbeeck, H., Bodé, S.,
Hervé-Fernández, P., Zito, P., Podgorski, D. C., Boyemba, F.,
Makelele, I., Cizungu Ntaboba, L., Spencer, R. G. M., and Boeckx, P.: High
fire-derived nitrogen deposition on central African forests, P. Natl. Acad. Sci. USA, 115,
549–554, https://doi.org/10.1073/pnas.1714597115, 2018.
Berger, S., Bliefernicht, J., Linstädter, A., Canak, K., Guug, S.,
Heinzeller, D., Hingerl, L., Mauder, M., Neidl, F., Quansah, E., Salack, S.,
Steinbrecher, R., and Kunstmann, H.: The impact of rain events on CO2
emissions from contrasting land use systems in semi-arid West African
savannas, Sci. Total Environ., 647, 1478–1489,
https://doi.org/10.1016/j.scitotenv.2018.07.397, 2019.
Bernacchi, C. J., Portis, A. R., Nakano, H., von Caemmerer, S., and Long, S.
P.: Temperature Response of Mesophyll Conductance. Implications for the
Determination of Rubisco Enzyme Kinetics and for Limitations to
Photosynthesis in Vivo, Plant Physiol., 130, 1992–1998, https://doi.org/10.1104/pp.008250,
2002.
Bliefernicht, J., Berger, S., Salack, S., Guug, S., Hingerl, L., Heinzeller,
D., Mauder, M., Steinbrecher, R., Steup, G., Bossa, A. Y., Waongo, M.,
Quansah, E., Balogun, A. A., Yira, Y., Arnault, J., Wagner, S., Klein, C.,
Gessner, U., Knauer, K., Straub, A., Schönrock, R., Kunkel, R., Okogbue,
E. C., Rogmann, A., Neidl, F., Jahn, C., Diekkrüger, B., Aduna, A.,
Barry, B., and Kunstmann, H.: The WASCAL Hydrometeorological Observatory in
the Sudan Savanna of Burkina Faso and Ghana, Vadose Zone J., 17, 180065,
https://doi.org/10.2136/vzj2018.03.0065, 2018.
Boke-Olén, N., Lehsten, V., Ardö, J., Beringer, J., Eklundh, L.,
Holst, T., Veenendaal, E., and Tagesson, T.: Estimating and Analyzing
Savannah Phenology with a Lagged Time Series Model, PLoS ONE, 11,
e0154615–e0154615, https://doi.org/10.1371/journal.pone.0154615, 2016.
Bocksberger, G., Schnitzler, J., Chatelain, C., Daget, P., Janssen, T.,
Schmidt, M., Thiombiano, A., and Zizka, G.: Climate and the distribution of
grasses in West Africa, J. Veg. Sci., 27, 306–317, https://doi.org/10.1111/jvs.12360, 2016.
Bombelli, A., Henry, M., Castaldi, S., Adu-Bredu, S., Arneth, A., de Grandcourt, A., Grieco, E., Kutsch, W. L., Lehsten, V., Rasile, A., Reichstein, M., Tansey, K., Weber, U., and Valentini, R.: An outlook on the Sub-Saharan Africa carbon balance, Biogeosciences, 6, 2193–2205, https://doi.org/10.5194/bg-6-2193-2009, 2009.
Boone, R. B., Galvin, K. A., Coughenour, M. B., Hudson, J. W., Weisberg, P.
J., Vogel, C. H., and Ellis, J. E.: Ecosystem modeling adds value to a south
african climate forecast, Clim. Change, 64, 317–340,
https://doi.org/10.1023/B:CLIM.0000025750.09629.48, 2004.
Boulain, N., Cappelaere, B., Ramier, D., Issoufou, H. B. A., Halilou, O.,
Seghieri, J., Guillemin, F., Oï, M., Gignoux, J., and Timouk, F.:
Towards an understanding of coupled physical and biological processes in the
cultivated Sahel – 2. Vegetation and carbon dynamics, J. Hydrol., 375,
190–203, https://doi.org/10.1016/j.jhydrol.2008.11.045, 2009.
Boyd, R. A., Gandin, A., and Cousins, A. B.: Temperature Responses of C4
Photosynthesis: Biochemical Analysis of Rubisco, Phosphoenolpyruvate
Carboxylase, and Carbonic Anhydrase in Setaria viridis, Plant Physiol., 169, 1850–1861,
https://doi.org/10.1104/pp.15.00586, 2015.
Brümmer, C., Falk, U., Papen, H., Szarzynski, J., Wassmann, R., and
Brüggemann, N.: Diurnal, seasonal, and interannual variation in carbon
dioxide and energy exchange in shrub savanna in Burkina Faso (West Africa),
J. Geophys. Res., 113, G02030, https://doi.org/10.1029/2007JG000583,
2008.
Buba, T.: Prediction equations for estimating tree height, crown diameter,
crown height and crown ratio of Parkia biglobosa in the Nigerian guinea savanna, Afr.
J. Agr. Res., 7, 6541–6543, https://doi.org/10.5897/AJAR12.276, 2013.
Buchhorn, M., Smets, B., Bertels, L., Lesiv, M., Tsendbazar, N.-E., Masiliunas, D., Linlin, L., Herold, M., and Fritz, S.: Copernicus Global Land Service: Land Cover 100m: Collection 3: epoch 2019: Globe (Version V3.0.1) [Data set], Zenodo, https://doi.org/10.5281/zenodo.3939050, 2020.
Butterbach-Bahl, K., Grote,
R., Haas,
E., Kiese,
R., Klatt,
S., and Kraus,
D.: LandscapeDNDC (v1.30.4) [code], Karlsruhe Institute of Technology (KIT), https://doi.org/10.35097/438, 2021.
Caldararu, S., Purves, D. W., and Smith, M. J.: The impacts of data constraints on the predictive performance of a general process-based crop model (PeakN-crop v1.0), Geosci. Model Dev., 10, 1679–1701, https://doi.org/10.5194/gmd-10-1679-2017, 2017.
Camargo, A. P., Marin, F. R., Sentelhas, P. C., and Picini, A. G.: Adjust of
the Thornthwaite's method to estimate the potential evapotranspiration for
arid and superhumid climates, based on daily temperature amplitude, Bras.
Agrometeorol., 7, 251–257, https://doi.org/10.1007/s00704-019-02873-1, 1999.
Cappelaere, B., Descroix, L., Lebel, T., Boulain, N., Ramier, D., Laurent,
J. P., Favreau, G., Boubkraoui, S., Boucher, M., Bouzou Moussa, I.,
Chaffard, V., Hiernaux, P., Issoufou, H. B. A., Le Breton, E., Mamadou, I.,
Nazoumou, Y., Oi, M., Ottlé, C., and Quantin, G.: The AMMA-CATCH
experiment in the cultivated Sahelian area of south-west Niger –
Investigating water cycle response to a fluctuating climate and changing
environment, J. Hydrol., 375, 34–51, https://doi.org/10.1016/j.jhydrol.2009.06.021, 2009.
Chandra, A. and Dubey, A.: Evaluation of genus Cenchrus based on
malondialdehyde, proline content, specific leaf area and carbon isotope
discrimination for drought tolerance and divergence of species at DNA level,
Acta Physiol. Plant., 30, 53–61, https://doi.org/10.1007/s11738-007-0090-x, 2008.
Chen, Q., Baldocchi, D., Gong, P., and Dawson, T.: Modeling radiation and
photosynthesis of a heterogeneous savanna woodland landscape with a
hierarchy of model complexities, Agric. Forest Meteorol., 148, 1005–1020,
https://doi.org/10.1016/j.agrformet.2008.01.020, 2008.
Collatz, G. J., Ribas-Carbo, M., and Berry, J. A.: Coupled
photosynthesis-stomatal conductance model for leaves of C4 plants, Aust. J.
Plant Physiol., 19, 519–538, https://doi.org/10.1071/PP9920519 1992.
Dagbenonbakin, G. D.: Productivity and water use efficiency of important
crops in the upper Oueme Catchment: influence of nutrient limitations,
nutrient balances and soil fertility, PhD, Hohe Landwirtschaftliche
Fakultät, Rheinischen Friedrich-Wilhelms-Universität Bonn,
Bonn, 212 pp., 2005.
Da Matta, F. M., Loos, R. A., Rodrigues, R., and Barros, R.: Actual and
potential photosynthetic rates of tropical crop species, Revista Brasileira
de Fisiologia Vegetal, 13, 24–32, https://doi.org/10.1590/S0103-31312001000100003., 2001.
Dayamba, S. D., Djoudi, H., Zida, M., Sawadogo, L., and Verchot, L.:
Biodiversity and carbon stocks in different land use types in the Sudanian
Zone of Burkina Faso, West Africa, Agr. Ecosyst. Environ., 216, 61–72,
https://doi.org/10.1016/j.agee.2015.09.023, 2016.
de Jong, S. M. and Jetten, V. G.: Estimating spatial patterns of rainfall
interception from remotely sensed vegetation indices and spectral mixture
analysis, Int. J. Geogr. Inf. Sci., 21,
529–545, https://doi.org/10.1080/13658810601064884, 2007.
de Rosnay, P., Gruhier, C., Timouk, F., Baup, F., Mougin, E., Hiernaux, P.,
Kergoat, L., and LeDantec, V.: Multi-scale soil moisture measurements at the
Gourma meso-scale site in Mali, J. Hydrol., 375, 241–252,
https://doi.org/10.1016/j.jhydrol.2009.01.015, 2009.
Delon, C., Mougin, E., Serça, D., Grippa, M., Hiernaux, P., Diawara, M., Galy-Lacaux, C., and Kergoat, L.: Modelling the effect of soil moisture and organic matter degradation on biogenic NO emissions from soils in Sahel rangeland (Mali), Biogeosciences, 12, 3253–3272, https://doi.org/10.5194/bg-12-3253-2015, 2015.
Delon, C., Galy-Lacaux, C., Serça, D., Personne, E., Mougin, E., Adon, M., Le Dantec, V., Loubet, B., Fensholt, R., and Tagesson, T.: Modelling land–atmosphere daily exchanges of NO, NH3, and CO2 in a semi-arid grazed ecosystem in Senegal, Biogeosciences, 16, 2049–2077, https://doi.org/10.5194/bg-16-2049-2019, 2019.
de Souza Nóia Júnior, R., Amaral, G. C., Pezzopane, J. E. M.,
Fonseca, M. D. S., Câmara da Silva, A. P., and Xavier, T. M. T.:
Ecophysiological acclimatization to cyclic water stress in Eucalyptus, J. Forestry
Res., 31, 797–806, https://doi.org/10.1007/s11676-019-00926-9, 2020.
Dimobe, K., Kouakou, J. L. N. D., Tondoh, J. E., Zoungrana, B. J.-B.,
Forkuor, G., and Ouédraogo, K.: Predicting the Potential Impact of
Climate Change on Carbon Stock in Semi-Arid West African Savannas, Land, 7,
124, https://doi.org/10.3390/land7040124, 2018.
Diouf, A. A., Brandt, M., Verger, A., Jarroudi, M. E., Djaby, B., Fensholt,
R., Ndione, J. A., and Tychon, B.: Fodder Biomass Monitoring in Sahelian
Rangelands Using Phenological Metrics from FAPAR Time Series, Remote Sens.,
7, 9122–9148, https://doi.org/10.3390/rs70709122, 2015.
Dirnböck, T., Kraus, D., Grote, R., Klatt, S., Kobler, J.,
Schindlbacher, A., Seidl, R., Thom, D., and Kiese, R.: Substantial
understory contribution to the C sink of a European temperate mountain
forest landscape, Landscape Ecol., 35, 483–499, https://doi.org/10.1007/s10980-019-00960-2
2020.
Do, F. C., Goudiaby, V. A., Gimenez, O., Diagne, A. L., Diouf, M., Rocheteu,
A., and Akpo, L. E.: Environmental influence on canopy phenology in the dry
tropics, Forest Ecol. Manage., 215, 319–328, https://doi.org/10.1016/j.foreco.2005.05.022,
2005.
Elberling, B., Fensholt, R., Larsen, L., Petersen, A.-I. S., and Sandholt,
I.: Water content and land use history controlling soil CO2 respiration
and carbon stock in savanna soil and groundnut fields in semi-arid Senegal,
Danish J. Geogr., 103, 47–56, https://doi.org/10.1080/00167223.2003.10649491,
2003.
Epron, D., Nouvellon, Y., Roupsard, O., Mouvondy, W., Mabiala, A.,
Saint-Andre, L., Joffre, R., Jourdan, C., Bonnefond, J. M., Berbigier, P.,
and Hamel, O.: Spatial and temporal variations of soil respiration in a
Eucalyptus plantation in Congo, Forest Ecol. Manage., 202, 149–160,
https://doi.org/10.1016/j.foreco.2004.07.019, 2004.
Farquhar, G. D., Von Caemmerer, S., and Berry, J. A.: A biochemical model of
photosynthetic CO2 assimilation in leaves of C3 species, Planta,
149, 78–90, https://doi.org/10.1007/BF00386231, 1980.
Faye, B., Webber, H., Naab, J. B., MacCarthy, D. S., Adam, M., Ewert, F.,
Lamers, J. P. A., Schleussner, C.-F., Ruane, A., Gessner, U., Hoogenboom,
G., Boote, K., Shelia, V., Saeed, F., Wisser, D., Hadir, S., Laux, P., and
Gaiser, T.: Impacts of 1.5 versus 2.0 ∘C on cereal yields in the
West African Sudan Savanna, Environ. Res. Lett., 13, 034014,
https://doi.org/10.1088/1748-9326/aaab40, 2018.
February, E. and Higgins, S.: The distribution of tree and grass roots in
savannas in relation to soil nitrogen and water, S. Afr. J. Bot., 76,
517–523, https://doi.org/10.1016/j.sajb.2010.04.001, 2010.
Feng, X. and Dietze, M.: Scale dependence in the effects of leaf
ecophysiological traits on photosynthesis: Bayesian parameterization of
photosynthesis models, New Phytol., 200, 1132–1144, https://doi.org/10.1111/nph.12454, 2013.
Fraser, F. C., Corstanje, R., Deeks, L. K., Harris, J. A., Pawlett, M.,
Todman, L. C., Whitmore, A. P., and Ritz, K.: On the origin of carbon
dioxide released from rewetted soils, Soil Biology and Biochemistry, 101,
1–5, https://doi.org/10.1016/j.soilbio.2016.06.032, 2016.
Fürstenau Togashi, H., Prentice, I. C., Atkin, O. K., Macfarlane, C., Prober, S. M., Bloomfield, K. J., and Evans, B. J.: Thermal acclimation of leaf photosynthetic traits in an evergreen woodland, consistent with the coordination hypothesis, Biogeosciences, 15, 3461–3474, https://doi.org/10.5194/bg-15-3461-2018, 2018.
Gallé, A. and Feller, U.: Changes of photosynthetic traits in beech saplings (Fagus sylvatica) under severe drought stress and during recovery, Physiol. Plant., 131, 412–421, 2007.
Galy-Lacaux, C., Delon, C., Solmon, F., Adon, M., Yoboué, V., Mphepya,
J., Pienaar, J. J., Diop, B., Sigha, L., Dungall, L., Akpo, A., Mougin, E.,
Gardrat, E., and Castera, P.: Dry and Wet Atmospheric Nitrogen Deposition in
West Central Africa, in: Nitrogen Deposition, Critical Loads and
Biodiversity, edited by: Sutton, M., Mason, K., Sheppard, L., Sverdrup, H.,
Haeuber, R., and Hicks, W., Springer, Dordrecht, 2014.
Gash, J. H. C., Lloyd, C. R., and Lachaud, G.: Estimating sparse forest
rainfall interception with an analytical model, J. Hydrol., 170, 79–86,
https://doi.org/10.1016/0022-1694(95)02697-N, 1995.
Geerling, C.: The status of the woody species of the Sudan and Sahel zones
of West Africa, Forest Ecol. Manage., 13, 247–255,
https://doi.org/10.1016/0378-1127(85)90038-6, 1985.
Gessner, U., Niklaus, M., Kuenzer, C., and Dech, S.: Intercomparison of Leaf
Area Index Products for a Gradient of Sub-Humid to Arid Environments in West
Africa, Remote Sens., 5, 1235–1257, https://doi.org/10.3390/rs5031235, 2013.
Gleason, S. M., Wiggans, D. R., Bliss, C. A., Comas, L. H., Cooper, M.,
DeJonge, K. C., Young, J. S., and Zhang, H.: Coordinated decline in
photosynthesis and hydraulic conductance during drought stress in Zea mays, Flora,
227, 1–9, https://doi.org/10.1016/j.flora.2016.11.017, 2017.
Groenendijk, M., Dolman, A. J., van der Molen, M. K., Leuning, R., Arneth,
A., Delpierre, N., Gash, J. H. C., Lindroth, A., Richardson, A. D.,
Verbeeck, H., and Wohlfahrt, G.: Assessing parameter variability in a
photosynthesis model within and between plant functional types using global
Fluxnet eddy covariance data, Agric. Forest Meteorol., 151, 22–38,
https://doi.org/10.1016/j.agrformet.2010.08.013, 2011.
Grossiord, C., Sevanto, S., Adams, H. D., Collins, A. D., Dickman, L. T.,
McBranch, N., Michaletz, S. T., Stockton, E. A., Vigil, M., and McDowell, N.
G.: Precipitation, not air temperature, drives functional responses of trees
in semi-arid ecosystems, J. Ecol., 105, 163–175, https://doi.org/10.1111/1365-2745.12662,
2017.
Grote, R.: Integrating dynamic morphological properties into forest growth
modeling. II. Allocation and mortality, Forest Ecol. Manage., 111, 193–210,
https://doi.org/10.1016/S0378-1127(98)00328-4, 1998.
Grote, R.: Sensitivity of volatile monoterpene emission to changes in canopy
structure – A model based exercise with a process-based emission model, New
Phytol., 173, 550–561, https://doi.org/10.1111/j.1469-8137.2006.01946.x, 2007.
Grote, R., Lavoir, A. V., Rambal, S., Staudt, M., Zimmer, I., and
Schnitzler, J.-P.: Modelling the drought impact on monoterpene fluxes from
an evergreen Mediterranean forest canopy, Oecologia, 160, 213–223,
https://doi.org/10.1007/s00442-009-1298-9, 2009a.
Grote, R., Lehmann, E., Brümmer, C., Brüggemann, N., Szarzynski, J.,
and Kunstmann, H.: Modelling and observation of biosphere-atmosphere
interactions in natural savannah in Burkina Faso, West Africa, Phys. Chem.
Earth, 34, 251–260, https://doi.org/10.1016/j.pce.2008.05.003, 2009b.
Grote, R., Kiese, R., Grünwald, T., Ourcival, J.-M., and Granier, A.:
Modelling forest carbon balances considering tree mortality and removal,
Agric. Forest Meteorol., 151, 179–190, https://doi.org/10.1016/j.agrformet.2010.10.002,
2011a.
Grote, R., Korhonen, J., and Mammarella, I.: Challenges for evaluating
process-based models of gas exchange at forest sites with fetches of various
species, For. Syst., 20, 389–406, https://doi.org/10.5424/fs/20112003-11084, 2011b.
Grote, R., Kraus, D., Weis, W., Ettl, R., and Göttlein, A.: Dynamic
coupling of allometric ratios to a process-based forest growth model for
estimating the impacts of stand density changes, Forestry, 93, 601–615,
https://doi.org/10.1093/forestry/cpaa002, 2020.
Guenther, A., Otter, L., Zimmerman, P., Greenberg, J., Scholes, R., and
Scholes, M.: Biogenic hydrocarbon emissions from southern Africa savannas,
J. Geophys. Res., 101, 25859–25865, https://doi.org/10.1029/96JD02597, 1996.
Haas, E., Klatt, S., Fröhlich, A., Werner, C., Kiese, R., Grote, R., and
Butterbach-Bahl, K.: LandscapeDNDC: A process model for simulation of
biosphere-atmosphere-hydrosphere exchange processes at site and regional
scale, Landscape Ecol., 28, 615–636, https://doi.org/10.1007/s10980-012-9772-x, 2013.
Hartley, A. J., Parker, D. J., Garcia-Carreras, L., and Webster, S.:
Simulation of vegetation feedbacks on local and regional scale precipitation
in West Africa, Agric. Forest Meteorol., 222, 59–70,
https://doi.org/10.1016/j.agrformet.2016.03.001, 2016.
Hiernaux, P. and Ayantunde, A. A.: The Fakara: a semi-arid agro-ecosystem
under stress. Report of research activities, first phase (July 2002–June
2004) of the DMP-GEF Program ILRI, Nairobi (Kenya), GEF/2711-02-4516, 95,
2004.
Hiernaux, P., Mougin, E., Diarra, L., Soumaguel, N., Lavenu, F., Tracol, Y.,
and Diawara, M. O.: Sahelian rangeland response to changes in rainfall over
two decades in the Gourma region, Mali, J. Hydrol., 375, 114–127,
https://doi.org/10.1016/j.jhydrol.2008.11.005, 2009.
Holá, D., Benešová, M., Honnerová, J., Hnilička, F.,
Rothová, O., Kočová, M., and Hniličková, H.: The
evaluation of photosynthetic parameters in maize inbred lines subjected to
water deficiency: Can these parameters be used for the prediction of
performance of hybrid progeny?, Photosynthetica, 48, 545–558,
https://doi.org/10.1007/s11099-010-0072-x, 2010.
Ivanov, V. Y., Bras, R. L., and Vivoni, E. R.: Vegetation-hydrology dynamics
in complex terrain of semiarid areas: 1. A mechanistic approach to modeling
dynamic feedbacks, Water Resour. Res., 44, W03429, https://doi.org/10.1029/2006WR005588,
2008.
Jolly, W. M. and Running, S. W.: Effects of precipitation and soil water
potential on drought deciduous phenology in the Kalahari, Glob. Change
Biol., 10, 303–308, https://doi.org/10.1046/j.1365-2486.2003.00701.x, 2004.
Kahiu, M. N. and Hanan, N. P.: Estimation of Woody and Herbaceous Leaf Area
Index in Sub-Saharan Africa Using MODIS Data, J. Geophys. Res.-Biogeo.,
123, 3–17, https://doi.org/10.1002/2017JG004105, 2018.
Kalariya, K. A., Singh, A. L., Goswami, N., Mehta, D., Mahatma, M. K., Ajay,
B. C., Chakraborty, K., Zala, P. V., Chaudhary, V., and Patel, C. B.:
Photosynthetic characteristics of peanut genotypes under excess and deficit
irrigation during summer, Physiol. Mol. Biol. Plants, 21, 317–327,
https://doi.org/10.1007/s12298-015-0300-8, 2015.
Kaptue Tchuente, A. T., Roujean, J. L., and Faroux, S.: ECOCLIMAP-II: An
ecosystem classification and land surface parameters database of Western
Africa at 1 km resolution for the African Monsoon Multidisciplinary Analysis
(AMMA) project, Remote Sens. Environ., 114, 961–976,
https://doi.org/10.1016/j.rse.2009.12.008, 2010.
Kattge, J. and Knorr, W.: Temperature acclimation in a biochemical model of
photosynthesis: a reanalysis of data from 36 species, Plant Cell Environ.,
30, 1176–1190, https://doi.org/10.1111/j.1365-3040.2007.01690.x, 2007.
Kebbas, S., Lutts, S., and Aid, F.: Effect of drought stress on the
photosynthesis of Acacia tortilis subsp. raddiana at the young seedling stage,
Photosynthetica, 53, 288–298, https://doi.org/10.1007/s11099-015-0113-6, 2015.
Ker, A.: Farming Systems of the African Savanna, International Development Research Centre, Ottawa, Canada, 166 pp., 1995.
Kgope, B. S. and Musil, C. F.: Differential photosynthetic responses of
broad- and fine-leafed savanna trees to elevated temperatures, S. Afr. J.
Bot., 70, 760–766, https://doi.org/10.1016/S0254-6299(15)30177-0, 2004.
Kiese, R., Heinzeller, C., Werner, C., Wochele, S., Grote, R., and
Butterbach-Bahl, K.: Quantification of nitrate leaching from German forest
ecosystems by use of a process oriented biogeochemical model, Environ.
Pollut., 159, 3204–3214, https://doi.org/10.1016/j.envpol.2011.05.004, 2011.
Kim, J. and Verma, S. B.: Modeling canopy photosynthesis: scaling up from a
leaf to canopy in a temperate grassland ecosystem, Agric. Forest Meteorol.,
57, 187–208, https://doi.org/10.1016/0168-1923(91)90086-6, 1991.
Knauer, J., Werner, C., and Zaehle, S.: Evaluating stomatal models and their
atmospheric drought response in a land surface scheme: A multibiome
analysis, J. Geophys. Res.-Biogeo., 120, 1894–1911,
https://doi.org/10.1002/2015jg003114, 2015.
Körner, C., Scheel, J., and Bauer, H.: Maximum leaf diffusive
conductance in vascular plants, Photosynthetica, 13, 45–82, 1979.
Kothavala, Z., Arain, M. A., Black, T. A., and Verseghy, D.: The simulation
of energy, water vapor and carbon dioxide fluxes over common crops by the
Canadian Land Surface Scheme (CLASS), Agric. Forest Meteorol., 133, 89–108,
https://doi.org/10.1016/j.agrformet.2005.08.007, 2005.
Kraus, D., Weller, S., Klatt, S., Haas, E., Wassmann, R., Kiese, R., and
Butterbach-Bahl, K.: A new LandscapeDNDC biogeochemical module to predict
CH4 and N2O emissions from lowland rice and upland cropping
systems, Plant Soil, 386, 125–149, https://doi.org/10.1007/s11104-014-2255-x, 2015.
Kraus, D., Weller, S., Klatt, S., Santabárbara, I., Haas, E., Wassmann,
R., Werner, C., Kiese, R., and Butterbach-Bahl, K.: How well can we assess
impacts of agricultural land management changes on the total greenhouse gas
balance (CO2, CH4 and N2O) of tropical rice-cropping systems
with a biogeochemical model?, Agr. Ecosyst. Environ., 224, 104–115,
https://doi.org/10.1016/j.agee.2016.03.037, 2016.
Kucharik, C. J., Barford, C. C., El Maayar, M., Wofsy, S. C., Monson, R. K.,
and Baldocchi, D. D.: A multiyear evaluation of a Dynamic Global Vegetation
Model at three AmeriFlux forest sites: Vegetation structure, phenology, soil
temperature, and CO2 and H2O vapor exchange, Ecol. Modelling, 196,
1–31, https://doi.org/10.1016/j.ecolmodel.2005.11.031, 2006.
Leuning, R.: A critical appraisal of a combined stomatal-photosynthesis
model for C3 plants, Plant Cell Environ., 18, 339–355,
https://doi.org/10.1111/j.1365-3040.1995.tb00370.x, 1995.
Li, C., Frolking, S., and Frolking, T. A.: A model of nitrous oxide
evolution from soil driven by rainfall events: 1. Model structure and
Sensitivity, J. Geophys. Res., 97, 9759–9776, https://doi.org/10.1029/92JD00509, 1992.
Liebermann, R., Breuer, L., Houska, T., Kraus, D., Moser, G., and Kraft, P.:
Simulating Long-Term Development of Greenhouse Gas Emissions, Plant Biomass,
and Soil Moisture of a Temperate Grassland Ecosystem under Elevated
Atmospheric CO2, Agronomy, 10, 50, https://doi.org/10.3390/agronomy10010050, 2020.
Lindauer, M., Schmid, H. P., Grote, R., Mauder, M., Steinbrecher, R., and
Wolpert, B.: Net ecosystem exchange over a non-cleared wind-throw-disturbed
upland spruce forest – measurements and simulations Agric. Forest
Meteorol., 197, 219–234, https://doi.org/10.1016/j.agrformet.2014.07.005, 2014.
Livesley, S. J., Grover, S., Hutley, L. B., Jamali, H., Butterbach-Bahl, K.,
Fest, B., Beringer, J., and Arndt, S. K.: Seasonal variation and fire
effects on CH4, N2O and CO2 exchange in savanna soils of
northern Australia, Agric. Forest Meteorol., 151, 1440–1452,
https://doi.org/10.1016/j.agrformet.2011.02.001, 2011.
Loustau, D., Berbigier, P., Granier, A., and Moussa, F. E. H.: Interception
loss, throughfall and stemflow in a maritime pine stand. I. Variability of
throughfall and stemflow beneath the pine canopy, J. Hydrol., 138, 449–467,
https://doi.org/10.1016/0022-1694(92)90130-N, 1992.
Mamadou, O.: Etude des flux d'Evapotranspiration en climat soudanien:
comportement comparé de deux couverts végétaux au Bénin,
Université de Grenoble (France) et Université d'Abomey-Calavi
(Bénin), Abomey-Calavi, 2014.
Martin, M. J., Stirling, C. M., Humphries, S. W., and Long, S. P.: A
process-based model to predict the effects of climatic change on leaf
isoprene emission rates, Ecol. Model., 131, 161–174,
https://doi.org/10.1016/S0304-3800(00)00258-1, 2000.
Massad, R.-S., Tuzet, A., and Bethenod, O.: The effect of temperature on
C4-type leaf photosynthesis parameters, Plant Cell Environ., 30, 1191–1204,
https://doi.org/10.1111/j.1365-3040.2007.01691.x, 2007.
Massad, R. S., Lathière, J., Strada, S., Perrin, M., Personne, E., Stéfanon, M., Stella, P., Szopa, S., and de Noblet-Ducoudré, N.: Reviews and syntheses: influences of landscape structure and land uses on local to regional climate and air quality, Biogeosciences, 16, 2369–2408, https://doi.org/10.5194/bg-16-2369-2019, 2019.
Merbold, L., Ardö, J., Arneth, A., Scholes, R. J., Nouvellon, Y., de Grandcourt, A., Archibald, S., Bonnefond, J. M., Boulain, N., Brueggemann, N., Bruemmer, C., Cappelaere, B., Ceschia, E., El-Khidir, H. A. M., El-Tahir, B. A., Falk, U., Lloyd, J., Kergoat, L., Le Dantec, V., Mougin, E., Muchinda, M., Mukelabai, M. M., Ramier, D., Roupsard, O., Timouk, F., Veenendaal, E. M., and Kutsch, W. L.: Precipitation as driver of carbon fluxes in 11 African ecosystems, Biogeosciences, 6, 1027–1041, https://doi.org/10.5194/bg-6-1027-2009, 2009.
Mougin, E., Lo Seena, D., Rambal, S., Gaston, A., and Hiernaux, P.: A
regional Sahelian grassland model to be coupled with multispectral satellite
data. I: Model description and validation, Remote. Sens. Environ., 52,
181–193, https://doi.org/10.1016/0034-4257(94)00126-8, 1995.
Mougin, E., Hiernaux, P., Kergoat, L., Grippa, M., de Rosnay, P., Timouk,
F., Le Dantec, V., Demarez, V., Lavenu, F., Arjounin, M., Lebel, T.,
Soumaguel, N., Ceschia, E., Mougenot, B., Baup, F., Frappart, F., Frison, P.
L., Gardelle, J., Gruhier, C., Jarlan, L., Mangiarotti, S., Sanou, B.,
Tracol, Y., Guichard, F., Trichon, V., Diarra, L., Soumaré, A.,
Koité, M., Dembélé, F., Lloyd, C., Hanan, N. P., Damesin, C.,
Delon, C., Serça, D., Galy-Lacaux, C., Seghieri, J., Becerra, S., Dia,
H., Gangneron, F., and Mazzega, P.: The AMMA-CATCH Gourma observatory site
in Mali: Relating climatic variations to changes in vegetation, surface
hydrology, fluxes and natural resources, J. Hydrol., 375, 14–33,
https://doi.org/10.1016/j.jhydrol.2009.06.045, 2009.
Mougin, E., Diawara, M. O., Soumaguel, N., Maïga, A. A., Demarez, V., Hiernaux, P., Grippa, M., Chaffard, V., and Ba, A.: A leaf area index data set acquired in Sahelian rangelands of Gourma in Mali over the 2005–2017 period, Earth Syst. Sci. Data, 11, 675–686, https://doi.org/10.5194/essd-11-675-2019, 2019.
Myneni, R., Knyazikhin, Y., and Park, T.: MCD15A3H MODIS/Terra+Aqua Leaf Area Index/FPAR 4-day L4 Global 500 m SIN Grid V006 [data set], NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MCD15A3H.006 (last access: 16 June 2021), 2015.
Odekunle, T. O., Andrew, O., and Aremu, S. O.: Towards a wetter
Sudano-Sahelian ecological zone in twenty-first century Nigeria, Weather,
63, 66–70, https://doi.org/10.1002/wea.172, 2008.
Pallas, J. E. and Samish, Y. B.: Photosynthetic response of peanut, Crop
Sci., 14, 478–482, https://doi.org/10.2135/cropsci1974.0011183X001400030042x, 1974.
Pastorello, G., Trotta, C., Canfora, E., Chu, H., Christianson, D., Cheah, Y.-W., Poindexter, C., Chen, J., Elbashandy, A., Humphrey, M., Isaac, P., Polidori, D., Ribeca, A., Ingen, C., Zhang, L., Amiro, B., Ammann, C., Arain, M., and Ardö, J.: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, Sci. Data, 7, 225, https://doi.org/10.1038/s41597-020-0534-3, 2020.
Pereira, A. R. and Pruitt, W. O.: Adaptation of the Thornthwaite scheme for
estimating daily reference evapotranspiration, Agric. Water
Manage., 66, 251–257, https://doi.org/10.1016/j.agwat.2003.11.003, 2004.
Pielke, R. A., Pitman, A., Niyogi, D., Mahmood, R., McAlpine, C., Hossain,
F., Goldewijk, K. K., Nair, U., Betts, R., Fall, S., Reichstein, M., Kabat,
P., and de Noblet, N.: Land use/land cover changes and climate: modeling
analysis and observational evidence, Wiley Interdisciplinary Reviews:
Climate Change, 2, 828–850, https://doi.org/10.1002/wcc.144, 2011.
Pitman, A. J.: The evolution of, and revolution in, land surface schemes
designed for climate models, Int. J. Climatol., 23, 479–510,
https://doi.org/10.1002/joc.893, 2003.
Quansah, E., Mauder, M., Balogun, A. A., Amekudzi, L. K., Hingerl, L.,
Bliefernicht, J., and Kunstmann, H.: Carbon dioxide fluxes from contrasting
ecosystems in the Sudanian Savanna in West Africa, Carbon Balance Manag.,
10, 1–17, https://doi.org/10.1186/s13021-014-0011-4, 2015.
Quenum, G. M. L. D., Klutse, N. A. B., Dieng, D., Laux, P., Arnault, J.,
Kodja, J. D., and Oguntunde, P. G.: Identification of Potential Drought
Areas in West Africa Under Climate Change and Variability, Earth Syst.
Environ., 3, 429–444, https://doi.org/10.1007/s41748-019-00133-w, 2019.
Rahimi, J., Ago, E. E., Ayantunde, A., Bogaert, J., Butterbach-Bahl,
K., Cappelaere,
B., Demarty,
J., Diouf,
A. A., Falk,
U., Haas,
E., Hiernaux,
P., Kraus,
D., Roupsard,
O., Scheer,
C., Srivastava,
A. K., Tagesson,
T., and Grote,
R.: Modelling Gas Exchange and Biomass Production in West African Sahelian and Sudanian Ecological Zones. Karlsruhe Institute of Technology (KIT) [data set], https://doi.org/10.35097/437, 2021.
Roupsard, O., Audebert, A., Ndour, A. P., Clermont-Dauphin, C., Agbohessou,
Y., Sanou, J., Koala, J., Faye, E., Sambakhe, D., Jourdan, C., le Maire, G.,
Tall, L., Sanogo, D., Seghieri, J., Cournac, L., and Leroux, L.: How far
does the tree affect the crop in agroforestry? New spatial analysis methods
in a Faidherbia parkland, Agr. Ecosyst. Environ., 296, 106928,
https://doi.org/10.1016/j.agee.2020.106928, 2020.
Running, S. W. and Coughlan, J. C.: A general model of forest ecosystem
processes for regional applications. I. Hydrologic balance, canopy gas
exchange and primary production processes, Ecol. Model., 42, 125–154,
https://doi.org/10.1016/0304-3800(88)90112-3, 1988.
Saleska, S. R., Miller, S. D., Matross, D. M., Goulden, M. L., Wofsy, S. C.,
da Rocha, H. R., de Camargo, P. B., Crill, P., Daube, B. C., de Freitas, H.
C., Hutyra, L., Keller, M., Kirchhoff, V., Menton, M., Munger, J. W., Pyle,
E. H., Rice, A. H., and Silva, H.: Carbon in amazon forests: Unexpected
seasonal fluxes and disturbance-induced losses, Science, 302, 1554–1557,
https://doi.org/10.1126/science.1091165, 2003.
Scheiter, S. and Higgins, S. I.: Impacts of climate change on the
vegetation of Africa: an adaptive dynamic vegetation modelling approach,
Glob. Change Biol., 15, 2224–2246, https://doi.org/10.1111/j.1365-2486.2008.01838.x, 2009.
Scholes, R. J. and Hall, D. O.: The carbon budget of tropical savannas,
woodlands and grasslands, in: Global change: effects on coniferous forests
and grasslands, edited by: Breymeyer, A. I., Hall, D. O., Melillo, J. M.,
and Ågren, G. I., Scope, John Wiley and Sons, Chichester, 69–100, 1996.
Sellers, P. J., Randall, D. A., Collatz, G. J., Berry, J. A., Field, C. B.,
Dazlich, D. A., Zhang, C., Collelo, G. D., and Bounoua, L.: A revised land
surface parameterization (SiB2) for atmospheric GCMs. Part I: model
formulation, J. Climate, 9, 676–705, https://doi.org/10.1175/1520-0442(1996)009<0676:ARLSPF>2.0.CO;2, 1996.
Setterfield, S. A., Clifton, P. J., Hutley, L. B., Rossiter-Rachor, N. A.,
and Douglas, M. M.: Exotic grass invasion alters microsite conditions
limiting woody recruitment potential in an Australian savanna, Sci. Rep.-UK, 8,
6628–6628, https://doi.org/10.1038/s41598-018-24704-5, 2018.
Sibret, T.: The Sahelian Drylands under Pressure: Studying the Impact of
Environmental Factors on Vegetation in Dahra, Senegal, Master of Science in
Bioscience Engineering, Ghent University, Ghent, 113 pp., 2018.
Simioni, G., Le Roux, X., Gignoux, J., and Sinoquet, H.: Treegrass: a 3D,
process-based model for simulating plant interactions in tree-grass
ecosystems, Ecol. Model., 131, 47–63, https://doi.org/10.1016/S0304-3800(00)00243-X,
2000.
Sjöström, M., Ardö, J., Arneth, A., Boulain, N., Cappelaere, B.,
Eklundh, L., de Grandcourt, A., Kutsch, W. L., Merbold, L., Nouvellon, Y.,
Scholes, R. J., Schubert, P., Seaquist, J., and Veenendaal, E. M.: Exploring
the potential of MODIS EVI for modeling gross primary production across
African ecosystems, Remote. Sens. Environ., 115, 1081–1089,
https://doi.org/10.1016/j.rse.2010.12.013, 2011.
Sjöström, M., Zhao, M., Archibald, S., Arneth, A., Cappelaere, B.,
Falk, U., de Grandcourt, A., Hanan, N., Kergoat, L., Kutsch, W., Merbold,
L., Mougin, E., Nickless, A., Nouvellon, Y., Scholes, R. J., Veenendaal, E.
M., and Ardö, J.: Evaluation of MODIS gross primary productivity for
Africa using eddy covariance data, Remote. Sens. Environ., 131, 275–286,
https://doi.org/10.1016/j.rse.2012.12.023, 2013.
Snyman, H. A.: Rangeland degradation in a semi-arid South Africa – I:
influence on seasonal root distribution, root/shoot ratios and water-use
efficiency, J. Arid Environ., 60, 457–481,
https://doi.org/10.1016/j.jaridenv.2004.06.006, 2005.
Sobamowo, J. O.: Effect of harvesting dates and fertilizer application on
cassava productivity in rainforest and guinea savanna agroecological zones
of Nigeria, PhD, University of Cape Coast, Ghana, 2016.
Sonawane, B. V., Sharwood, R. E., von Caemmerer, S., Whitney, S. M., and
Ghannoum, O.: Short-term thermal photosynthetic responses of C4 grasses are
independent of the biochemical subtype, J. Exp. Bot., 68, 5583–5597,
https://doi.org/10.1093/jxb/erx350, 2017.
Sotelo Montes, C., Weber, J. C., Silva, D. A., Andrade, C., Muñiz, G.
B., Garcia, R. A., and Kalinganire, A.: Growth and fuelwood properties of
five tree and shrub species in the Sahelian and Sudanian ecozones of Mali:
relationships with mean annual rainfall and geographical coordinates, New
Forests, 45, 179–197, https://doi.org/10.1007/s11056-013-9401-9, 2014.
Tagesson, T., Fensholt, R., Guiro, I., Rasmussen, M. O., Huber, S., Mbow,
C., Garcia, M., Horion, S., Sandholt, I., Holm-Rasmussen, B., Göttsche,
F. M., Ridler, M.-E., Olén, N., Lundegard Olsen, J., Ehammer, A.,
Madsen, M., Olesen, F. S., and Ardö, J.: Ecosystem properties of
semiarid savanna grassland in West Africa and its relationship with
environmental variability, Glob. Change Biol., 21, 250–264,
https://doi.org/10.1111/gcb.12734, 2015.
Tagesson, T., Ardö, J., Guiro, I., Cropley, F., Mbow, C., Horion, S.,
Ehammer, A., Mougin, E., Delon, C., Corinne, G.-L., and Fensholt, R.: Very
high CO2 exchange fluxes at the peak of the rainy season in a West
African grazed semi-arid savanna ecosystem, Geografisk Tidsskrift-Danish
J. Geography, 116, 1–17, https://doi.org/10.1080/00167223.2016.1178072, 2016.
Tews, J. and Jeltsch, F.: Modelling the impact of climate change on woody
plant population dynamics in South African savanna, BMC Ecology, 4, 1–12,
https://doi.org/10.1186/1472-6785-4-17, 2004.
Tews, J., Esther, A., Milton, S. J., and Jeltsch, F.: Linking a population
model with an ecosystem model: Assessing the impact of land use and climate
change on savanna shrub cover dynamics, Ecol. Model., 195, 219–228,
https://doi.org/10.1016/j.ecolmodel.2005.11.025, 2006.
Thornley, J. H. M.: Instantaneous canopy photosynthesis: Analytical
expressions for sun and shade leaves based on exponential light decay down
the canopy and an acclimated non-rectangular hyperbola for leaf
photosynthesis, Ann. Bot., 89, 451–458, https://doi.org/10.1093/aob/mcf071, 2002.
Thornley, J. H. M. and Cannell, M. G. R.: Modelling the components of plant
respiration: Representation and realism, Ann. Bot., 85, 55–67,
https://doi.org/10.1006/anbo.1999.0997, 2000.
Thornthwaite, C. W.: An approach toward a rational classification of
climate, Geogr. Rev., 38, 55, https://doi.org/10.2307/210739, 1948.
Timouk, F., Kergoat, L., Mougin, E., Lloyd, C. R., Ceschia, E., Cohard, J.
M., Rosnay, P. d., Hiernaux, P., Demarez, V., and Taylor, C. M.: Response of
surface energy balance to water regime and vegetation development in a
Sahelian landscape, J. Hydrol., 375, 178–189, https://doi.org/10.1016/j.jhydrol.2009.04.022,
2009.
Ullmann, I.: Stomatal conductance and transpiration of Acacia under field
conditions: similarities and differences between leaves and phyllodes,
Trees-Struct. Funct., 3, 45–56, https://doi.org/10.1007/BF00202400, 1989.
Ünlü, M. and Steduto, P.: Comparison of Photosynthetic Water use
Efficiency of Sweet Sorghum at Canopy and Leaf Scales, Turkish Journal of
Agriculture and Forestry, 24, 519–526, 2000.
Velluet, C., Demarty, J., Cappelaere, B., Braud, I., Issoufou, H. B.-A., Boulain, N., Ramier, D., Mainassara, I., Charvet, G., Boucher, M., Chazarin, J.-P., Oï, M., Yahou, H., Maidaji, B., Arpin-Pont, F., Benarrosh, N., Mahamane, A., Nazoumou, Y., Favreau, G., and Seghieri, J.: Building a field- and model-based climatology of local water and energy cycles in the cultivated Sahel – annual budgets and seasonality, Hydrol. Earth Syst. Sci., 18, 5001–5024, https://doi.org/10.5194/hess-18-5001-2014, 2014.
Vico, G. and Porporato, A.: Modelling C3 and C4 photosynthesis under
water-stressed conditions, Plant Soil, 313, 187–203,
https://doi.org/10.1007/s11104-008-9691-4, 2008.
Vitasse, Y., Francois, C., Delpierre, N., Dufrene, E., Kremer, A., Chuine,
I., and Delzon, S.: Assessing the effects of climate change on the phenology
of European temperate trees, Agric. Forest Meteorol., 151, 969–980, 2011.
Vitkauskaitė, G. and Venskaitytė, L.: Differences between C3
(Hordeum vulgare L.) and C4 (Panicum miliaceum L.) plants with respect to their resistance to water deficit,
Žemdirbystė (Agriculture), 98, 349–356, 2011.
Von Caemmerer, S.: Biochemical models of leaf photosynthesis, Technicques in
Plant Sciences, CSIRO, Collingwood VIC 3066, Australia, 2000.
Vu, J. C. V.: Acclimation of peanut (Arachis hypogaea L.) leaf photosynthesis to elevated
growth CO2 and temperature, Environ. Exp. Bot., 53,
85–95, https://doi.org/10.1016/j.envexpbot.2004.03.006, 2005.
Werner, C., Haas, E., Grote, R., Gauder, M., Graeff-Hönninger, S.,
Claupein, W., and Butterbach-Bahl, K.: Biomass production potential from
Populus short rotation systems in Romania, GCB Bioenergy, 4, 642–653,
https://doi.org/10.1111/j.1757-1707.2012.01180.x, 2012.
Wesolowski, T. and Rowinski, P.: Timing of bud burst and tree-leaf
development in a multispecies temperate forest, Forest Ecol. Manage., 237,
387–393, 2006.
Whitley, R., Beringer, J., Hutley, L. B., Abramowitz, G., De Kauwe, M. G., Duursma, R., Evans, B., Haverd, V., Li, L., Ryu, Y., Smith, B., Wang, Y.-P., Williams, M., and Yu, Q.: A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas, Biogeosciences, 13, 3245–3265, https://doi.org/10.5194/bg-13-3245-2016, 2016.
Whitley, R., Beringer, J., Hutley, L. B., Abramowitz, G., De Kauwe, M. G., Evans, B., Haverd, V., Li, L., Moore, C., Ryu, Y., Scheiter, S., Schymanski, S. J., Smith, B., Wang, Y.-P., Williams, M., and Yu, Q.: Challenges and opportunities in land surface modelling of savanna ecosystems, Biogeosciences, 14, 4711–4732, https://doi.org/10.5194/bg-14-4711-2017, 2017.
Yao, N. g. R. and Goué, B.: Water use efficiency of a cassava crop as
affected by soil water balance, Agric. Forest Meteorol., 61, 187–203,
https://doi.org/10.1016/0168-1923(92)90049-A, 1992.
Yu, G.-R., Zhuang, J., and Yu, Z.-L.: An attempt to establish a synthetic
model of photosynthesis-transpiration based on stomatal behavior for maize
and soybean plants grown in field, J. Plant Physiol., 158,
861–874, https://doi.org/10.1078/0176-1617-00177, 2001.
Yuan, W., Zhou, G., Wang, Y., Han, X., and Wang, Y.: Simulating phenological
characteristics of two dominant grass species in a semi-arid steppe
ecosystem, Ecol. Res., 22, 784–791, https://doi.org/10.1007/s11284-006-0318-z,
2007.
Short summary
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.
West African Sahelian and Sudanian ecosystems are important regions for global carbon exchange,...
