Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1459-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1459-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
25 Mar 2020
Model description paper |
| 25 Mar 2020
| 25 Mar 2020
HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 2: Phenology and water cycle
Louis de Wergifosse
CORRESPONDING AUTHOR
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
Frédéric André
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
Nicolas Beudez
AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, 34000 Montpellier,
France
François de Coligny
AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, 34000 Montpellier,
France
Hugues Goosse
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
François Jonard
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
Quentin Ponette
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
Hugues Titeux
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
Caroline Vincke
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
Mathieu Jonard
Earth and Life Institute, Université catholique de Louvain,
Louvain-la-Neuve, 1348, Belgium
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To explore the forest response to new forestry practices under a changing environment, one needs models combining a process-based approach with a detailed spatial representation, which is very rare. We decided to develop our own model according to a spatially explicit approach describing individual tree growth based on resource sharing (light, water and nutrients). A first evaluation showed that HETEROFOR predicts well individual radial growth and is able to reproduce size–growth relationships.
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Earth Syst. Sci. Data, 15, 2517–2532, https://doi.org/10.5194/essd-15-2517-2023, https://doi.org/10.5194/essd-15-2517-2023, 2023
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Koffi Worou, Thierry Fichefet, and Hugues Goosse
Weather Clim. Dynam., 4, 511–530, https://doi.org/10.5194/wcd-4-511-2023, https://doi.org/10.5194/wcd-4-511-2023, 2023
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Nathaelle Bouttes, Fanny Lhardy, Aurélien Quiquet, Didier Paillard, Hugues Goosse, and Didier M. Roche
Clim. Past, 19, 1027–1042, https://doi.org/10.5194/cp-19-1027-2023, https://doi.org/10.5194/cp-19-1027-2023, 2023
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Andrew P. Schurer, Gabriele C. Hegerl, Hugues Goosse, Massimo A. Bollasina, Matthew H. England, Michael J. Mineter, Doug M. Smith, and Simon F. B. Tett
Clim. Past, 19, 943–957, https://doi.org/10.5194/cp-19-943-2023, https://doi.org/10.5194/cp-19-943-2023, 2023
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Bianca Mezzina, Hugues Goosse, François Klein, Antoine Barthélemy, and François Massonnet
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-45, https://doi.org/10.5194/tc-2023-45, 2023
Revised manuscript accepted for TC
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Pepijn Bakker, Hugues Goosse, and Didier M. Roche
Clim. Past, 18, 2523–2544, https://doi.org/10.5194/cp-18-2523-2022, https://doi.org/10.5194/cp-18-2523-2022, 2022
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Guillian Van Achter, Thierry Fichefet, Hugues Goosse, and Eduardo Moreno-Chamarro
The Cryosphere, 16, 4745–4761, https://doi.org/10.5194/tc-16-4745-2022, https://doi.org/10.5194/tc-16-4745-2022, 2022
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Nidheesh Gangadharan, Hugues Goosse, David Parkes, Heiko Goelzer, Fabien Maussion, and Ben Marzeion
Earth Syst. Dynam., 13, 1417–1435, https://doi.org/10.5194/esd-13-1417-2022, https://doi.org/10.5194/esd-13-1417-2022, 2022
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We describe the contributions of ocean thermal expansion and land-ice melting (ice sheets and glaciers) to global-mean sea-level (GMSL) changes in the Common Era. The mass contributions are the major sources of GMSL changes in the pre-industrial Common Era and glaciers are the largest contributor. The paper also describes the current state of climate modelling, uncertainties and knowledge gaps along with the potential implications of the past variabilities in the contemporary sea-level rise.
Jeanne Rezsöhazy, Quentin Dalaiden, François Klein, Hugues Goosse, and Joël Guiot
Clim. Past, 18, 2093–2115, https://doi.org/10.5194/cp-18-2093-2022, https://doi.org/10.5194/cp-18-2093-2022, 2022
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Using statistical tree-growth proxy system models in the data assimilation framework may have limitations. In this study, we successfully incorporate the process-based dendroclimatic model MAIDEN into a data assimilation procedure to robustly compare the outputs of an Earth system model with tree-ring width observations. Important steps are made to demonstrate that using MAIDEN as a proxy system model is a promising way to improve large-scale climate reconstructions with data assimilation.
Thomas Jagdhuber, François Jonard, Anke Fluhrer, David Chaparro, Martin J. Baur, Thomas Meyer, and María Piles
Biogeosciences, 19, 2273–2294, https://doi.org/10.5194/bg-19-2273-2022, https://doi.org/10.5194/bg-19-2273-2022, 2022
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This is a concept study of water dynamics across winter wheat starting from ground-based L-band radiometry in combination with on-site measurements of soil and atmosphere. We research the feasibility of estimating water potentials and seasonal flux rates of water (water uptake from soil and transpiration rates into the atmosphere) within the soil-plant-atmosphere system (SPAS) of a winter wheat field. The main finding is that L-band radiometry can be integrated into field-based SPAS assessment.
Nicolas Ghilain, Stéphane Vannitsem, Quentin Dalaiden, Hugues Goosse, Lesley De Cruz, and Wenguang Wei
Earth Syst. Sci. Data, 14, 1901–1916, https://doi.org/10.5194/essd-14-1901-2022, https://doi.org/10.5194/essd-14-1901-2022, 2022
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Modeling the climate at high resolution is crucial to represent the snowfall accumulation over the complex orography of the Antarctic coast. While ice cores provide a view constrained spatially but over centuries, climate models can give insight into its spatial distribution, either at high resolution over a short period or vice versa. We downscaled snowfall accumulation from climate model historical simulations (1850–present day) over Dronning Maud Land at 5.5 km using a statistical method.
Koffi Worou, Hugues Goosse, Thierry Fichefet, and Fred Kucharski
Earth Syst. Dynam., 13, 231–249, https://doi.org/10.5194/esd-13-231-2022, https://doi.org/10.5194/esd-13-231-2022, 2022
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Over the Guinea Coast, the increased rainfall associated with warm phases of the Atlantic Niño is reasonably well simulated by 24 climate models out of 31, for the present-day conditions. In a warmer climate, general circulation models project a gradual decrease with time of the rainfall magnitude associated with the Atlantic Niño for the 2015–2039, 2040–2069 and 2070–2099 periods. There is a higher confidence in these changes over the equatorial Atlantic than over the Guinea Coast.
Charles Pelletier, Thierry Fichefet, Hugues Goosse, Konstanze Haubner, Samuel Helsen, Pierre-Vincent Huot, Christoph Kittel, François Klein, Sébastien Le clec'h, Nicole P. M. van Lipzig, Sylvain Marchi, François Massonnet, Pierre Mathiot, Ehsan Moravveji, Eduardo Moreno-Chamarro, Pablo Ortega, Frank Pattyn, Niels Souverijns, Guillian Van Achter, Sam Vanden Broucke, Alexander Vanhulle, Deborah Verfaillie, and Lars Zipf
Geosci. Model Dev., 15, 553–594, https://doi.org/10.5194/gmd-15-553-2022, https://doi.org/10.5194/gmd-15-553-2022, 2022
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We present PARASO, a circumpolar model for simulating the Antarctic climate. PARASO features five distinct models, each covering different Earth system subcomponents (ice sheet, atmosphere, land, sea ice, ocean). In this technical article, we describe how this tool has been developed, with a focus on the
coupling interfacesrepresenting the feedbacks between the distinct models used for contribution. PARASO is stable and ready to use but is still characterized by significant biases.
Jan Pisek, Angela Erb, Lauri Korhonen, Tobias Biermann, Arnaud Carrara, Edoardo Cremonese, Matthias Cuntz, Silvano Fares, Giacomo Gerosa, Thomas Grünwald, Niklas Hase, Michal Heliasz, Andreas Ibrom, Alexander Knohl, Johannes Kobler, Bart Kruijt, Holger Lange, Leena Leppänen, Jean-Marc Limousin, Francisco Ramon Lopez Serrano, Denis Loustau, Petr Lukeš, Lars Lundin, Riccardo Marzuoli, Meelis Mölder, Leonardo Montagnani, Johan Neirynck, Matthias Peichl, Corinna Rebmann, Eva Rubio, Margarida Santos-Reis, Crystal Schaaf, Marius Schmidt, Guillaume Simioni, Kamel Soudani, and Caroline Vincke
Biogeosciences, 18, 621–635, https://doi.org/10.5194/bg-18-621-2021, https://doi.org/10.5194/bg-18-621-2021, 2021
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Understory vegetation is the most diverse, least understood component of forests worldwide. Understory communities are important drivers of overstory succession and nutrient cycling. Multi-angle remote sensing enables us to describe surface properties by means that are not possible when using mono-angle data. Evaluated over an extensive set of forest ecosystem experimental sites in Europe, our reported method can deliver good retrievals, especially over different forest types with open canopies.
Hugues Goosse, Quentin Dalaiden, Marie G. P. Cavitte, and Liping Zhang
Clim. Past, 17, 111–131, https://doi.org/10.5194/cp-17-111-2021, https://doi.org/10.5194/cp-17-111-2021, 2021
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Polynyas are ice-free oceanic areas within the sea ice pack. Small polynyas are regularly observed in the Southern Ocean, but large open-ocean polynyas have been rare over the past decades. Using records from available ice cores in Antarctica, we reconstruct past polynya activity and confirm that those events have also been rare over the past centuries, but the information provided by existing data is not sufficient to precisely characterize the timing of past polynya opening.
Marie G. P. Cavitte, Quentin Dalaiden, Hugues Goosse, Jan T. M. Lenaerts, and Elizabeth R. Thomas
The Cryosphere, 14, 4083–4102, https://doi.org/10.5194/tc-14-4083-2020, https://doi.org/10.5194/tc-14-4083-2020, 2020
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Surface mass balance (SMB) and surface air temperature (SAT) are correlated at the regional scale for most of Antarctica, SMB and δ18O. Areas with low/no correlation are where wind processes (foehn, katabatic wind warming, and erosion) are sufficiently active to overwhelm the synoptic-scale snow accumulation. Measured in ice cores, the link between SMB, SAT, and δ18O is much weaker. Random noise can be removed by core record averaging but local processes perturb the correlation systematically.
David Parkes and Hugues Goosse
The Cryosphere, 14, 3135–3153, https://doi.org/10.5194/tc-14-3135-2020, https://doi.org/10.5194/tc-14-3135-2020, 2020
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Direct records of glacier changes rarely go back more than the last 100 years and are few and far between. We used a sophisticated glacier model to simulate glacier length changes over the last 1000 years for those glaciers that we do have long-term records of, to determine whether the model can run in a stable, realistic way over a long timescale, reproducing recent observed trends. We find that post-industrial changes are larger than other changes in this time period driven by recent warming.
Zhiqiang Lyu, Anais J. Orsi, and Hugues Goosse
Clim. Past, 16, 1411–1428, https://doi.org/10.5194/cp-16-1411-2020, https://doi.org/10.5194/cp-16-1411-2020, 2020
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This paper uses two different ways to perform model–data comparisons for the borehole temperature in Antarctica. The results suggest most models generally reproduce the long-term cooling in West Antarctica from 1000 to 1600 CE and the recent 50 years of warming in West Antarctica and Antarctic Peninsula. However, The 19th-century cooling in the Antarctic Peninsula (−0.94 °C) is not reproduced by any of the models, which tend to show warming instead.
Jeanne Rezsöhazy, Hugues Goosse, Joël Guiot, Fabio Gennaretti, Etienne Boucher, Frédéric André, and Mathieu Jonard
Clim. Past, 16, 1043–1059, https://doi.org/10.5194/cp-16-1043-2020, https://doi.org/10.5194/cp-16-1043-2020, 2020
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Tree rings are the main data source for climate reconstructions over the last millennium. Statistical tree-growth models have limitations that process-based models could overcome. Here, we investigate the possibility of using a process-based ecophysiological model (MAIDEN) as a complex proxy system model for palaeoclimate applications. We show its ability to simulate tree-growth index time series that can fit robustly tree-ring width observations under certain conditions.
Quentin Dalaiden, Hugues Goosse, François Klein, Jan T. M. Lenaerts, Max Holloway, Louise Sime, and Elizabeth R. Thomas
The Cryosphere, 14, 1187–1207, https://doi.org/10.5194/tc-14-1187-2020, https://doi.org/10.5194/tc-14-1187-2020, 2020
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Large uncertainties remain in Antarctic surface temperature reconstructions over the last millennium. Here, the analysis of climate model outputs reveals that snow accumulation is a more relevant proxy for surface temperature reconstructions than δ18O. We use this finding in data assimilation experiments to compare to observed surface temperatures. We show that our continental temperature reconstruction outperforms reconstructions based on δ18O, especially for East Antarctica.
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.
Mathieu Jonard, Frédéric André, François de Coligny, Louis de Wergifosse, Nicolas Beudez, Hendrik Davi, Gauthier Ligot, Quentin Ponette, and Caroline Vincke
Geosci. Model Dev., 13, 905–935, https://doi.org/10.5194/gmd-13-905-2020, https://doi.org/10.5194/gmd-13-905-2020, 2020
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To explore the forest response to new forestry practices under a changing environment, one needs models combining a process-based approach with a detailed spatial representation, which is very rare. We decided to develop our own model according to a spatially explicit approach describing individual tree growth based on resource sharing (light, water and nutrients). A first evaluation showed that HETEROFOR predicts well individual radial growth and is able to reproduce size–growth relationships.
Zhun Mao, Delphine Derrien, Markus Didion, Jari Liski, Thomas Eglin, Manuel Nicolas, Mathieu Jonard, and Laurent Saint-André
Biogeosciences, 16, 1955–1973, https://doi.org/10.5194/bg-16-1955-2019, https://doi.org/10.5194/bg-16-1955-2019, 2019
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In a context of global changes, modeling and predicting the dynamics of soil carbon stocks in forest ecosystems are vital but challenging. Yasso07 is considered to be one of the most promising models for such a purpose. We examine the accuracy of its prediction of soil carbon dynamics over the whole French metropolitan territory at a decennial timescale. We revealed how the bottleneck in soil carbon modeling is linked with the lack of knowledge on soil carbon quality and fine-root litter.
François Klein, Nerilie J. Abram, Mark A. J. Curran, Hugues Goosse, Sentia Goursaud, Valérie Masson-Delmotte, Andrew Moy, Raphael Neukom, Anaïs Orsi, Jesper Sjolte, Nathan Steiger, Barbara Stenni, and Martin Werner
Clim. Past, 15, 661–684, https://doi.org/10.5194/cp-15-661-2019, https://doi.org/10.5194/cp-15-661-2019, 2019
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Antarctic temperature changes over the past millennia have been reconstructed from isotope records in ice cores in several studies. However, the link between both variables is complex. Here, we investigate the extent to which this affects the robustness of temperature reconstructions using pseudoproxy and data assimilation experiments. We show that the reconstruction skill is limited, especially at the regional scale, due to a weak and nonstationary covariance between δ18O and temperature.
Chris S. M. Turney, Helen V. McGregor, Pierre Francus, Nerilie Abram, Michael N. Evans, Hugues Goosse, Lucien von Gunten, Darrell Kaufman, Hans Linderholm, Marie-France Loutre, and Raphael Neukom
Clim. Past, 15, 611–615, https://doi.org/10.5194/cp-15-611-2019, https://doi.org/10.5194/cp-15-611-2019, 2019
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This PAGES (Past Global Changes) 2k (climate of the past 2000 years working group) special issue of Climate of the Past brings together the latest understanding of regional change and impacts from PAGES 2k groups across a range of proxies and regions. The special issue has emerged from a need to determine the magnitude and rate of change of regional and global climate beyond the timescales accessible within the observational record.
Hugues Goosse, Pierre-Yves Barriat, Quentin Dalaiden, François Klein, Ben Marzeion, Fabien Maussion, Paolo Pelucchi, and Anouk Vlug
Clim. Past, 14, 1119–1133, https://doi.org/10.5194/cp-14-1119-2018, https://doi.org/10.5194/cp-14-1119-2018, 2018
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Glaciers provide iconic illustrations of past climate change, but records of glacier length fluctuations have not been used systematically to test the ability of models to reproduce past changes. One reason is that glacier length depends on several complex factors and so cannot be simply linked to the climate simulated by models. This is done here, and it is shown that the observed glacier length fluctuations are generally well within the range of the simulations.
Feng Shi, Sen Zhao, Zhengtang Guo, Hugues Goosse, and Qiuzhen Yin
Clim. Past, 13, 1919–1938, https://doi.org/10.5194/cp-13-1919-2017, https://doi.org/10.5194/cp-13-1919-2017, 2017
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We reconstructed the multi-proxy precipitation field for China over the past 500 years, which includes three leading modes (a monopole, a dipole, and a triple) of precipitation variability. The dipole mode may be controlled by the El Niño–Southern Oscillation variability. Such reconstruction is an essential source of information to document the climate variability over decadal to centennial timescales and can be used to assess the ability of climate models to simulate past climate change.
Kristina Seftigen, Hugues Goosse, Francois Klein, and Deliang Chen
Clim. Past, 13, 1831–1850, https://doi.org/10.5194/cp-13-1831-2017, https://doi.org/10.5194/cp-13-1831-2017, 2017
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Comparisons of proxy data to GCM-simulated hydroclimate are still limited and inter-model variability remains poorly characterized. In this study, we bring together tree-ring paleoclimate evidence and CMIP5–PMIP3 model simulations of the last millennium hydroclimate variability across Scandinavia. We explore the consistency between the datasets and the role of external forcing versus internal variability in driving the hydroclimate changes regionally.
Barbara Stenni, Mark A. J. Curran, Nerilie J. Abram, Anais Orsi, Sentia Goursaud, Valerie Masson-Delmotte, Raphael Neukom, Hugues Goosse, Dmitry Divine, Tas van Ommen, Eric J. Steig, Daniel A. Dixon, Elizabeth R. Thomas, Nancy A. N. Bertler, Elisabeth Isaksson, Alexey Ekaykin, Martin Werner, and Massimo Frezzotti
Clim. Past, 13, 1609–1634, https://doi.org/10.5194/cp-13-1609-2017, https://doi.org/10.5194/cp-13-1609-2017, 2017
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Within PAGES Antarctica2k, we build an enlarged database of ice core water stable isotope records. We produce isotopic composites and temperature reconstructions since 0 CE for seven distinct Antarctic regions. We find a significant cooling trend from 0 to 1900 CE across all regions. Since 1900 CE, significant warming trends are identified for three regions. Only for the Antarctic Peninsula is this most recent century-scale trend unusual in the context of last-2000-year natural variability.
Johann H. Jungclaus, Edouard Bard, Mélanie Baroni, Pascale Braconnot, Jian Cao, Louise P. Chini, Tania Egorova, Michael Evans, J. Fidel González-Rouco, Hugues Goosse, George C. Hurtt, Fortunat Joos, Jed O. Kaplan, Myriam Khodri, Kees Klein Goldewijk, Natalie Krivova, Allegra N. LeGrande, Stephan J. Lorenz, Jürg Luterbacher, Wenmin Man, Amanda C. Maycock, Malte Meinshausen, Anders Moberg, Raimund Muscheler, Christoph Nehrbass-Ahles, Bette I. Otto-Bliesner, Steven J. Phipps, Julia Pongratz, Eugene Rozanov, Gavin A. Schmidt, Hauke Schmidt, Werner Schmutz, Andrew Schurer, Alexander I. Shapiro, Michael Sigl, Jason E. Smerdon, Sami K. Solanki, Claudia Timmreck, Matthew Toohey, Ilya G. Usoskin, Sebastian Wagner, Chi-Ju Wu, Kok Leng Yeo, Davide Zanchettin, Qiong Zhang, and Eduardo Zorita
Geosci. Model Dev., 10, 4005–4033, https://doi.org/10.5194/gmd-10-4005-2017, https://doi.org/10.5194/gmd-10-4005-2017, 2017
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Climate model simulations covering the last millennium provide context for the evolution of the modern climate and for the expected changes during the coming centuries. They can help identify plausible mechanisms underlying palaeoclimatic reconstructions. Here, we describe the forcing boundary conditions and the experimental protocol for simulations covering the pre-industrial millennium. We describe the PMIP4 past1000 simulations as contributions to CMIP6 and additional sensitivity experiments.
Chris S.~M. Turney, Andrew Klekociuk, Christopher J. Fogwill, Violette Zunz, Hugues Goosse, Claire L. Parkinson, Gilbert Compo, Matthew Lazzara, Linda Keller, Rob Allan, Jonathan G. Palmer, Graeme Clark, and Ezequiel Marzinelli
The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-51, https://doi.org/10.5194/tc-2017-51, 2017
Revised manuscript not accepted
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We demonstrate that a mid-twentieth century decrease in geopotential height in the southwest Pacific marks a Rossby wave response to equatorial Pacific warming, leading to enhanced easterly airflow off George V Land. Our results suggest that in contrast to ozone hole-driven changes in the Amundsen Sea, the 1979–2015 increase in sea ice extent off George V Land may be in response to reduced northward Ekman drift and enhanced (near-coast) production as a consequence of low latitude forcing.
Chris S. M. Turney, Christopher J. Fogwill, Jonathan G. Palmer, Erik van Sebille, Zoë Thomas, Matt McGlone, Sarah Richardson, Janet M. Wilmshurst, Pavla Fenwick, Violette Zunz, Hugues Goosse, Kerry-Jayne Wilson, Lionel Carter, Mathew Lipson, Richard T. Jones, Melanie Harsch, Graeme Clark, Ezequiel Marzinelli, Tracey Rogers, Eleanor Rainsley, Laura Ciasto, Stephanie Waterman, Elizabeth R. Thomas, and Martin Visbeck
Clim. Past, 13, 231–248, https://doi.org/10.5194/cp-13-231-2017, https://doi.org/10.5194/cp-13-231-2017, 2017
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The Southern Ocean plays a fundamental role in global climate but suffers from a dearth of observational data. As the Australasian Antarctic Expedition 2013–2014 we have developed the first annually resolved temperature record using trees from subantarctic southwest Pacific (52–54˚S) to extend the climate record back to 1870. With modelling we show today's high climate variability became established in the ~1940s and likely driven by a Rossby wave response originating from the tropical Pacific.
Marta Camino-Serrano, Elisabeth Graf Pannatier, Sara Vicca, Sebastiaan Luyssaert, Mathieu Jonard, Philippe Ciais, Bertrand Guenet, Bert Gielen, Josep Peñuelas, Jordi Sardans, Peter Waldner, Sophia Etzold, Guia Cecchini, Nicholas Clarke, Zoran Galić, Laure Gandois, Karin Hansen, Jim Johnson, Uwe Klinck, Zora Lachmanová, Antti-Jussi Lindroos, Henning Meesenburg, Tiina M. Nieminen, Tanja G. M. Sanders, Kasia Sawicka, Walter Seidling, Anne Thimonier, Elena Vanguelova, Arne Verstraeten, Lars Vesterdal, and Ivan A. Janssens
Biogeosciences, 13, 5567–5585, https://doi.org/10.5194/bg-13-5567-2016, https://doi.org/10.5194/bg-13-5567-2016, 2016
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We investigated the long-term trends of dissolved organic carbon (DOC) in soil solution and the drivers of changes in over 100 forest monitoring plots across Europe. An overall increasing trend was detected in the organic layers, but no overall trend was found in the mineral horizons. There are strong interactions between controls acting at local and regional scales. Our findings are relevant for researchers focusing on the link between terrestrial and aquatic ecosystems and for C-cycle models.
François Klein, Hugues Goosse, Nicholas E. Graham, and Dirk Verschuren
Clim. Past, 12, 1499–1518, https://doi.org/10.5194/cp-12-1499-2016, https://doi.org/10.5194/cp-12-1499-2016, 2016
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This paper analyses global climate model simulations of long-term East African hydroclimate changes relative to proxy-based reconstructions over the last millennium. No common signal is found between model results and reconstructions as well as among the model time series, which suggests that simulated hydroclimate is mostly driven by internal variability rather than by common external forcing.
V. Zunz and H. Goosse
The Cryosphere, 9, 541–556, https://doi.org/10.5194/tc-9-541-2015, https://doi.org/10.5194/tc-9-541-2015, 2015
M. F. Loutre, T. Fichefet, H. Goosse, P. Huybrechts, H. Goelzer, and E. Capron
Clim. Past, 10, 1541–1565, https://doi.org/10.5194/cp-10-1541-2014, https://doi.org/10.5194/cp-10-1541-2014, 2014
F. Klein, H. Goosse, A. Mairesse, and A. de Vernal
Clim. Past, 10, 1145–1163, https://doi.org/10.5194/cp-10-1145-2014, https://doi.org/10.5194/cp-10-1145-2014, 2014
H. Goosse and V. Zunz
The Cryosphere, 8, 453–470, https://doi.org/10.5194/tc-8-453-2014, https://doi.org/10.5194/tc-8-453-2014, 2014
A. Mairesse, H. Goosse, P. Mathiot, H. Wanner, and S. Dubinkina
Clim. Past, 9, 2741–2757, https://doi.org/10.5194/cp-9-2741-2013, https://doi.org/10.5194/cp-9-2741-2013, 2013
S. Dubinkina and H. Goosse
Clim. Past, 9, 1141–1152, https://doi.org/10.5194/cp-9-1141-2013, https://doi.org/10.5194/cp-9-1141-2013, 2013
M. Eby, A. J. Weaver, K. Alexander, K. Zickfeld, A. Abe-Ouchi, A. A. Cimatoribus, E. Crespin, S. S. Drijfhout, N. R. Edwards, A. V. Eliseev, G. Feulner, T. Fichefet, C. E. Forest, H. Goosse, P. B. Holden, F. Joos, M. Kawamiya, D. Kicklighter, H. Kienert, K. Matsumoto, I. I. Mokhov, E. Monier, S. M. Olsen, J. O. P. Pedersen, M. Perrette, G. Philippon-Berthier, A. Ridgwell, A. Schlosser, T. Schneider von Deimling, G. Shaffer, R. S. Smith, R. Spahni, A. P. Sokolov, M. Steinacher, K. Tachiiri, K. Tokos, M. Yoshimori, N. Zeng, and F. Zhao
Clim. Past, 9, 1111–1140, https://doi.org/10.5194/cp-9-1111-2013, https://doi.org/10.5194/cp-9-1111-2013, 2013
P. Mathiot, H. Goosse, X. Crosta, B. Stenni, M. Braida, H. Renssen, C. J. Van Meerbeeck, V. Masson-Delmotte, A. Mairesse, and S. Dubinkina
Clim. Past, 9, 887–901, https://doi.org/10.5194/cp-9-887-2013, https://doi.org/10.5194/cp-9-887-2013, 2013
V. Zunz, H. Goosse, and F. Massonnet
The Cryosphere, 7, 451–468, https://doi.org/10.5194/tc-7-451-2013, https://doi.org/10.5194/tc-7-451-2013, 2013
Related subject area
Biogeosciences
EAT v1.0.0: a 1D test bed for physical–biogeochemical data assimilation in natural waters
Using deep learning to integrate paleoclimate and global biogeochemistry over the Phanerozoic Eon
Modelling boreal forest's mineral soil and peat C dynamics with the Yasso07 model coupled with the Ricker moisture modifier
Dynamic ecosystem assembly and escaping the “fire trap” in the tropics: insights from FATES_15.0.0
In silico calculation of soil pH by SCEPTER v1.0
Simple process-led algorithms for simulating habitats (SPLASH v.2.0): robust calculations of water and energy fluxes
A global behavioural model of human fire use and management: WHAM! v1.0
Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes
biospheremetrics v1.0.2: an R package to calculate two complementary terrestrial biosphere integrity indicators – human colonization of the biosphere (BioCol) and risk of ecosystem destabilization (EcoRisk)
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
Quantifying the role of ozone-caused damage to vegetation in the Earth system: A new parameterization scheme for photosynthetic and stomatal responses
Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm
Impacts of land-use change on biospheric carbon: an oriented benchmark using ORCHIDEE land surface model
DeepPhenoMem V1.0: Deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology
The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python
Exploring the Potential of History Matching for Land Surface Model Calibration
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
Radiocarbon analysis reveals underestimation of soil organic carbon persistence in new-generation soil 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
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
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)
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
Assimilation of Carbonyl Sulfide (COS) fluxes within the adjoint-based data assimilation system–Nanjing University Carbon Assimilation System (NUCAS v1.0)
Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3
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)
Implementing a coral reef CaCO3 production module in the iLOVECLIM climate model
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)
Jorn Bruggeman, Karsten Bolding, Lars Nerger, Anna Teruzzi, Simone Spada, Jozef Skákala, and Stefano Ciavatta
Geosci. Model Dev., 17, 5619–5639, https://doi.org/10.5194/gmd-17-5619-2024, https://doi.org/10.5194/gmd-17-5619-2024, 2024
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To understand and predict the ocean’s capacity for carbon sequestration, its ability to supply food, and its response to climate change, we need the best possible estimate of its physical and biogeochemical properties. This is obtained through data assimilation which blends numerical models and observations. We present the Ensemble and Assimilation Tool (EAT), a flexible and efficient test bed that allows any scientist to explore and further develop the state of the art in data assimilation.
Dongyu Zheng, Andrew S. Merdith, Yves Goddéris, Yannick Donnadieu, Khushboo Gurung, and Benjamin J. W. Mills
Geosci. Model Dev., 17, 5413–5429, https://doi.org/10.5194/gmd-17-5413-2024, https://doi.org/10.5194/gmd-17-5413-2024, 2024
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This study uses a deep learning method to upscale the time resolution of paleoclimate simulations to 1 million years. This improved resolution allows a climate-biogeochemical model to more accurately predict climate shifts. The method may be critical in developing new fully continuous methods that are able to be applied over a moving continental surface in deep time with high resolution at reasonable computational expense.
Boris Ťupek, Aleksi Lehtonen, Alla Yurova, Rose Abramoff, Bertrand Guenet, Elisa Bruni, Samuli Launiainen, Mikko Peltoniemi, Shoji Hashimoto, Xianglin Tian, Juha Heikkinen, Kari Minkkinen, and Raisa Mäkipää
Geosci. Model Dev., 17, 5349–5367, https://doi.org/10.5194/gmd-17-5349-2024, https://doi.org/10.5194/gmd-17-5349-2024, 2024
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Updating the Yasso07 soil C model's dependency on decomposition with a hump-shaped Ricker moisture function improved modelled soil organic C (SOC) stocks in a catena of mineral and organic soils in boreal forest. The Ricker function, set to peak at a rate of 1 and calibrated against SOC and CO2 data using a Bayesian approach, showed a maximum in well-drained soils. Using SOC and CO2 data together with the moisture only from the topsoil humus was crucial for accurate model estimates.
Jacquelyn K. Shuman, Rosie A. Fisher, Charles Koven, Ryan Knox, Lara Kueppers, and Chonggang Xu
Geosci. Model Dev., 17, 4643–4671, https://doi.org/10.5194/gmd-17-4643-2024, https://doi.org/10.5194/gmd-17-4643-2024, 2024
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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.
Yoshiki Kanzaki, Isabella Chiaravalloti, Shuang Zhang, Noah J. Planavsky, and Christopher T. Reinhard
Geosci. Model Dev., 17, 4515–4532, https://doi.org/10.5194/gmd-17-4515-2024, https://doi.org/10.5194/gmd-17-4515-2024, 2024
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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 and bulk soil pH is thus crucial to the accurate evaluation of alkalinity required to counteract soil acidification and the resulting capture of anthropogenic carbon dioxide through the enhanced weathering technique. This has been enabled by the updated reactive–transport SCEPTER code and newly developed framework to simulate soil pH.
David Sandoval, Iain Colin Prentice, and Rodolfo L. B. Nóbrega
Geosci. Model Dev., 17, 4229–4309, https://doi.org/10.5194/gmd-17-4229-2024, https://doi.org/10.5194/gmd-17-4229-2024, 2024
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Numerous estimates of water and energy balances depend on empirical equations requiring site-specific calibration, posing risks of "the right answers for the wrong reasons". We introduce novel first-principles formulations to calculate key quantities without requiring local calibration, matching predictions from complex land surface models.
Oliver Perkins, Matthew Kasoar, Apostolos Voulgarakis, Cathy Smith, Jay Mistry, and James D. A. Millington
Geosci. Model Dev., 17, 3993–4016, https://doi.org/10.5194/gmd-17-3993-2024, https://doi.org/10.5194/gmd-17-3993-2024, 2024
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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.
Amos P. K. Tai, David H. Y. Yung, and Timothy Lam
Geosci. Model Dev., 17, 3733–3764, https://doi.org/10.5194/gmd-17-3733-2024, https://doi.org/10.5194/gmd-17-3733-2024, 2024
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We have developed the Terrestrial Ecosystem Model in R (TEMIR), which simulates plant carbon and pollutant uptake and predicts their response to varying atmospheric conditions. This model is designed to couple with an atmospheric chemistry model so that questions related to plant–atmosphere interactions, such as the effects of climate change, rising CO2, and ozone pollution on forest carbon uptake, can be addressed. The model has been well validated with both ground and satellite observations.
Fabian Stenzel, Johanna Braun, Jannes Breier, Karlheinz Erb, Dieter Gerten, Jens Heinke, Sarah Matej, Sebastian Ostberg, Sibyll Schaphoff, and Wolfgang Lucht
Geosci. Model Dev., 17, 3235–3258, https://doi.org/10.5194/gmd-17-3235-2024, https://doi.org/10.5194/gmd-17-3235-2024, 2024
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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 > 20 % of the potential preindustrial natural biomass production. The ecosystems state metric EcoRisk shows a high risk of ecosystem destabilization in many regions as a result of climate change and land, water, and fertilizer use.
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.
Fang Li, Zhimin Zhou, Samuel Levis, Stephen Sitch, Felicity Hayes, Zhaozhong Feng, Peter Reich, Zhiyi Zhao, and Yanqing Zhou
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-6, https://doi.org/10.5194/gmd-2024-6, 2024
Revised manuscript accepted for GMD
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This study introduces a new scheme to simulate surface ozone damage to vegetation in regional and global process-based models. Based on 4210 data points from ozone experiments, it accurately reproduces statistically significant linear or nonlinear photosynthetic and stomatal response to ozone in observations for all vegetation types. It also enables models to implicitly capture the variability in plant ozone tolerance and the shift among species within a vegetation type.
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
Thi Lan Anh Dinh, Daniel Goll, Philippe Ciais, and Ronny Lauerwald
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-42, https://doi.org/10.5194/gmd-2024-42, 2024
Revised manuscript accepted for GMD
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The study assesses the performance of the dynamic global vegetation model (DGVM), ORCHIDEE, in capturing the impact of land-use change on carbon stocks across Europe. Comparisons with observations reveal that the model accurately represents carbon fluxes and stocks. Despite the underestimations in certain land-use conversions, the model describes general trends in soil carbon response to land-use change, aligning with the site observations.
Guohua Liu, Mirco Migliavacca, Christian Reimers, Basil Kraft, Markus Reichstein, Andrew Richardson, Lisa Wingate, Nicolas Delpierre, Hui Yang, and Alexander Winkler
EGUsphere, https://doi.org/10.5194/egusphere-2024-464, https://doi.org/10.5194/egusphere-2024-464, 2024
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Our study employs Long Short-Term Memory (LSTM) networks to model canopy greenness and phenology, integrating meteorological memory effects. LSTM model outperforms traditional methods, enhancing accuracy in predicting greenness dynamics and phenological transitions across plant functional types. Highlighting the importance of multi-variate meteorological memory effects, our research pioneers unlocking the secrets of vegetation phenology responses to climate change with deep learning techniques.
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.
Nina Raoult, Simon Beylat, James M. Salter, Frédéric Hourdin, Vladislav Bastrikov, Catherine Ottlé, and Philippe Peylin
EGUsphere, https://doi.org/10.5194/egusphere-2023-2996, https://doi.org/10.5194/egusphere-2023-2996, 2024
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We use computer models to predict how the land surface will respond to climate change. However, these complex models do not always simulate what we observe in real life, limiting their effectiveness. To improve their accuracy, we use sophisticated statistical and computational techniques. Here we test a technique called “History matching” against more common approaches. This method adapts well to these models, helping better understand how they work and therefore how to make them more realistic.
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.
Alexander S. Brunmayr, Frank Hagedorn, Margaux Moreno Duborgel, Luisa I. Minich, and Heather D. Graven
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-242, https://doi.org/10.5194/gmd-2023-242, 2024
Revised manuscript accepted for GMD
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A new generation of soil models promises to more accurately predict the carbon cycle in soils under climate change. However, measurements of 14C (the radioactive carbon isotope) in soils reveal that the new soil models face similar problems as the traditional models: they underestimate the residence time of carbon in soils and may therefore overestimate the net uptake of CO2 by the land ecosystem. Proposed solutions include restructuring the models and calibrating model parameters with 14C data.
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.
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.
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.
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.
Huajie Zhu, Mousong Wu, Fei Jiang, Michael Vossbeck, Thomas Kaminski, Xiuli Xing, Jun Wang, Weimin Ju, and Jing M. Chen
EGUsphere, https://doi.org/10.5194/egusphere-2023-1955, https://doi.org/10.5194/egusphere-2023-1955, 2023
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In this work, Nanjing University Carbon Assimilation System (NUCAS) was developed. Data assimilation experiments were conducted to demonstrate the robustness and to investigate the feasibility and applicability of NUCAS. The assimilation of COS significantly improved the model performance in gross primary productivity, sensible heat, latent heat and even soil moisture, demonstrating that COS can provide strong constraints on parameters relevant to water, energy and carbon processes.
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.
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.
Nathaelle Bouttes, Lester Kwiatkowski, Manon Berger, Victor Brovkin, and Guy Munhoven
EGUsphere, https://doi.org/10.5194/egusphere-2023-1162, https://doi.org/10.5194/egusphere-2023-1162, 2023
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Coral reefs are crucial for biodiversity, but they also play a role in the carbon cycle on long time scales of a few thousand years. To better simulate the future and past evolution of coral reefs and their effect on the global carbon cycle, hence on atmospheric CO2 concentration, it is necessary to include coral reefs within a climate model. Here we describe the inclusion of coral reef carbonate production in a carbon-climate model and its validation in comparison to existing modern data.
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.
Cited articles
Ahmadi, M. T., Attarod, P., Mohadjer, M. R. M., Rahmani, R., and Fathi, J.:
Partitioning rainfall into throughfall, stemflow, and interception loss in
an oriental beech (Fagus orientalis Lipsky) forest during the growing
season, Turk. J. Agr. Forest, 33, 557–568, 2009.
Ainsworth, E. A. and Long, S. P.: What have we learned from 15 years of
free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of
photosynthesis, canopy properties and plant production to rising CO2, New
Phytol., 165, 351–372, 2005.
Allen, C. D., Breshears, D. D., and McDowell, N. G.: On underestimation of
global vulnerability to tree mortality and forest die-off from hotter
drought in the Anthropocene, Ecosphere, 6, 1–55, 2015.
An, H. and Noh, S. J.: High-order averaging method of hydraulic
conductivity for accurate soil moisture modelling, J. Hydrol., 516, 119–130,
2014.
Anderegg W. R., Konings A. G., Trugman A. T., Yu K., Bowling D. R., Gabbitas
R., and Zenes N.: Hydraulic diversity of forests regulates ecosystem resilience
during drought, Nature, 561, 538–541, 2018.
André, F. and Ponette, Q.: Comparison of biomass and nutrient content
between oak (Quercus petraea) and hornbeam (Carpinus betulus) trees in a
coppice-with-standards stand in Chimay (Belgium), Ann. Sci. Forest., 60,
489–502, 2003.
André, F., Jonard, M., and Ponette, Q.: Influence of species and rain
event characteristics on stemflow volume in a temperate mixed oak–beech
stand, Hydrol. Process., 22, 4455–4466, 2008a.
André, F., Jonard, M., and Ponette, Q.: Precipitation water storage
capacity in a temperate mixed oak–beech canopy, Hydrol. Process., 22,
4130–4141, 2008b.
André, F., Jonard, M., and Ponette, Q.: Effects of biological and
meteorological factors on stemflow chemistry within a temperate mixed
oak–beech stand, Sci. Total Environ., 393, 72–83, 2008c.
Assouline, S. and Or, D.: Anisotropy factor of saturated and unsaturated soils,
Water Resour. Res., 42, W12403, https://doi.org/10.1029/2006WR005001, 2006.
Aubertin, G. M.: Nature and extent of macropores in forest soils and their
influence on subsurface water movement, USDA For. Serv. NE Res., Res. Pap. NE-192, 1971.
Augspurger, C. K. and Bartlett, E. A.: Differences in leaf phenology between
juvenile and adult trees in a temperate deciduous forest, Tree Physiol.,
23, 517–525, 2003.
Aussenac, G.: Interception des précipitations par le couvert
forestier, Ann. Sci. Forest., 25, 135–156, 1968.
Aussenac, G.: Action du couvert forestier sur la distribution au sol des
précipitations, Ann. Sci. Forest., 27, 383–399, 1970.
Aussenac, G. and Boulangeat, C.: Interception des précipitations et
évapotranspiration réelle dans des peuplements de feuillu (Fagus
silvatica L.) et de résineux (Pseudotsuga menziesii (Mirb) Franco), Ann.
Sci. Forest., 37, 91–107, 1980.
Basler, D. and Körner, C.: Photoperiod sensitivity of bud burst in 14
temperate forest tree species, Agr. Forest Meteorol., 165, 73–81, 2012.
Basler, D.: Evaluating phenological models for the prediction of leaf-out
dates in six temperate tree species across central Europe, Agr. Forest
Meteorol., 217, 10–21, 2016.
Bastrup-Birk, A. and Gundersen, P.: Water quality improvements from afforestation in an agricultural catchment in Denmark illustrated with the INCA model, Hydrol. Earth Syst. Sci., 8, 764–777, https://doi.org/10.5194/hess-8-764-2004, 2004.
Bazuhair, A. S. and Wood, W. W.: Chloride mass-balance method for
estimating ground water recharge in arid areas: examples from western Saudi
Arabia, J. Hydrol., 186, 153–159, 1996.
Bellot, J. and Escarre, A.: Stemflow and throughfall determination in a
resprouted Mediterranean holm-oak forest, Ann. Sci. Forest., 55,
847–865, 1998.
Bennett, A. C., McDowell, N. G., Allen, C. D., and Anderson-Teixeira, K. J.:
Larger trees suffer most during drought in forests worldwide, Nat.
Plants, 1, 15139, https://doi.org/10.1038/nplants.2015.139, 2015.
Bent, G. C.: Effects of forest-management activities on runoff components
and ground-water recharge to Quabbin Reservoir, central
Massachusetts, Forest Ecol. Manag., 143, 115–129, 2001.
Berger, U., Piou, C., Schiffers, K., and Grimm, V.: Competition among plants:
concepts, individual-based modelling approaches, and a proposal for a future
research strategy, Perspect. Plant Ecol., 9, 121–135, 2008.
Beuker, E., Raspe, S., Bastrup-Birk, A., Preuhsler, T., and Fleck, S.: Part
VI: Phenological Observations, in: UNECE ICP Forests Programme Co-ordinating
Centre: Manual on methods and criteria for harmonized sampling, assessment,
monitoring and analysis of the effects of air pollution on forests,
Thünen Institute of Forest Ecosystems, 1–12, 2016.
Binkley, D., Campoe, O. C., Gspaltl, M., and Forrester, D. I.: Light absorption
and use efficiency in forests: Why patterns differ for trees and
stands, Forest Ecol. Manag., 288, 5–13, 2013.
Bonan, G. B.: Forests and climate change: forcings, feedbacks, and the
climate benefits of forests, Science, 320, 1444–1449, 2008.
Bravo, F., Fabrika, M., Ammer, C., Barreiro, S., Bielak, K., Coll, L.,
Fonseca, T., Kangur, A., Löf, M., Merganicova, K., Pach, M., Pretzsch,
H., Stojanovic, D., Schuler, L., Peric, S., Rötzer, T., del Rio, M.,
Dodan, M., and Bravo-Oviedo, A.: Modelling approaches for mixed forests dynamics prognosis, Research gaps and opportunities, Forest Syst., 28, eR002,
https://doi.org/10.5424/fs/2019281-14342, 2019.
Bücking, W. and Krebs, A.: Interzeption und Bestandesniederschläge
von Buche und Fichte im Schönbuch, Das landschaftsökologische
Forschungsprojekt Naturpark Schönbuch, 113–131, 1986.
Buckley, T. N.: Modeling stomatal conductance, Plant Physiol., 174,
572–582, 2017.
Bussotti, F. and Pollastrini, M.: Observing climate change impacts on European
forests: what works and what does not in ongoing long-term monitoring
networks, Front. Plant Sci., 8, 629, https://doi.org/10.3389/fpls.2017.00629, 2017.
Carlyle‐Moses, D. E. and Price, A. G.: Growing‐season stemflow production within a deciduous forest of southern Ontario, Hydrol. Process., 20, 3651–3663, 2006.
Cepel, N. V.: Interzeption (= Niederschlagsverdunstung im Kronenraum) in
einem Buchen-, einem Eichen-und einem Kiefernbestand des Belgrader Waldes
bei Istanbul, Forstwiss. Centralbl., 86, 301–314, 1967.
Charru, M., Seynave, I., Hervé, J. C., Bertrand, R., and Bontemps, J. D.:
Recent growth changes in Western European forests are driven by climate
warming and structured across tree species climatic habitats, Ann. For.
Sci., 74, 33, https://doi.org/10.1007/s13595-017-0626-1, 2017.
Chiang, J. M. and Brown, K. J.: Improving the budburst phenology subroutine
in the forest carbon model PnET, Ecol. Model., 205, 515–526, 2007.
Choat, B., Brodribb, T. J., Brodersen, C. R., Duursma, R. A., Lopez, R., and
Medlyn, B. E.: Triggers of tree mortality under drought, Nature, 558,
531–539, 2018.
Christiansen, J. R., Elberling, B., and Jansson, P. E.: Modelling water
balance and nitrate leaching in temperate Norway spruce and beech forests
located on the same soil type with the CoupModel, Forest Ecol.
Manag., 237, 545-556, 2006.
Chuine, I.: A unified model for budburst of trees, J. Theor. Biol., 207,
337–347, 2000.
Chuine, I., Garcia de Cortazar Atauri, I., Kramer, K., and Hänninen, H.:
Plant Development Models, in: Phenology: An Integrative Environmental
Science, Task Veg. Sc., 275–293, 2013.
Chuine, I., Bonhomme, M., Legave, J. M., García de Cortázar-Atauri,
I., Charrier, G., Lacointe, A., and Améglio, T.: Can phenological models
predict tree phenology accurately in the future? The unrevealed hurdle of
endodormancy break, Glob. Change Biol., 22, 3444–3460, 2016.
Clark, J. S., Salk, C., Melillo, J., and Mohan, J.: Tree phenology responses
to winter chilling, spring warming, at north and south range limits, Funct.
Ecol., 28, 1344–1355, 2014.
Cole, E. F. and Sheldon, B. C.: The shifting phenological landscape:
Within-and between-species variation in leaf emergence in a mixed-deciduous
woodland, Ecol. Evol., 7, 1135–1147, 2017.
Collalti, A., Perugini, L., Santini, M., Chiti, T., Nolè, A., Matteucci,
G., and Valentini, R.: A process-based model to simulate growth in forests with
complex structure: Evaluation and use of 3D-CMCC Forest Ecosystem Model in a
deciduous forest in Central Italy, Ecol. Model., 272, 362–378, 2014.
Collalti, A., Marconi, S., Ibrom, A., Trotta, C., Anav, A., D'Andrea, E., Matteucci, G., Montagnani, L., Gielen, B., Mammarella, I., Grünwald, T., Knohl, A., Berninger, F., Zhao, Y., Valentini, R., and Santini, M.: Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites, Geosci. Model Dev., 9, 479–504, https://doi.org/10.5194/gmd-9-479-2016, 2016.
Courbaud, B., De Coligny, F., and Cordonnier, T.: Simulating radiation
distribution in a heterogeneous Norway spruce forest on a slope, Agr. Forest
Meteorol., 116, 1–18, 2003.
Couvreur, V., Vanderborght, J., and Javaux, M.: A simple three-dimensional macroscopic root water uptake model based on the hydraulic architecture approach, Hydrol. Earth Syst. Sci., 16, 2957–2971, https://doi.org/10.5194/hess-16-2957-2012, 2012.
Cristiano, E., Bogaard, T., and Barontini, S.: Effects of Anisotropy of
Preferential flow on the Hydrology and Stability of Landslides, Procedia
Earth Planet. Sci., 16, 204–214, 2016.
Dai, A.: Increasing drought under global warming in observations and
models, Nat. Clim. Change, 3, 52–58, 2013.
Deckmyn, G., Verbeeck, H., De Beeck, M. O., Vansteenkiste, D., Steppe, K.,
and Ceulemans, R.: ANAFORE: a stand-scale process-based forest model that
includes wood tissue development and labile carbon storage in trees, Ecol.
Model., 215, 345–368, 2008.
DeRose R. J. and Long J. N.: Resistance and resilience: A conceptual framework
for silviculture, Forest Sci. 60, 1205–1212, 2014.
Dettmann, U., Bechtold, M., Frahm, E., and Tiemeyer, B.: On the
applicability of unimodal and bimodal van Genuchten–Mualem based models to
peat and other organic soils under evaporation conditions, J. Hydrol., 515,
103–115, 2014.
Didon-Lescot, J. F.: The Importance Of Throughfall in Evaluating
Hydrological and Biogeochemical Fluxes: Example of a Catchment (Mont-Lozere,
France), in: Proceedings of the International Conference on Catchment
Hydrological and Biochemical Processes in Changing Environment, UNESCO, 20–23,
1998.
Dripps, W. R.: The spatial and temporal variability of groundwater recharge
within the Trout Lake basin of northern Wisconsin, PhD Thesis, University of
Wisconsin, 2003.
Dufour-Kowalski, S., Courbaud, B., Dreyfus, P., Meredieu, C., and De
Coligny, F.: Capsis: an open software framework and community for forest
growth modelling, Ann. For. Sci., 69, 221–233, 2012.
Dufrêne, E., Davi, H., François, C., Le Maire, G., Le Dantec, V.,
and Granier, A.: Modelling carbon and water cycles in a beech forest: Part
I: Model description and uncertainty analysis on modelled NEE, Ecol.
Model., 185, 407–436, 2005.
Duursma, R. A. and Medlyn, B. E.: MAESPA: a model to study interactions between water limitation, environmental drivers and vegetation function at tree and stand levels, with an example application to [CO2] × drought interactions, Geosci. Model Dev., 5, 919–940, https://doi.org/10.5194/gmd-5-919-2012, 2012.
Duursma, R. A.: MAESPA: Development of a soil-plant-atmosphere model,
Seminar at the UWS, available at: https://github.com/Maespa/maespa.github.io/blob/master/docs/MAESPAseminar.pdf
(last access: 13 September 2018), 2008.
Etzold, S., Ziemińska, K., Rohner, B., Bottero, A., Bose, A. K., Ruehr,
N. K., Zingg, A., Rigling, A.: One century of forest monitoring data in
Switzerland reveals species-and site-specific trends of climate-induced tree
mortality, Front. Plant Sci., 10, 307, https://doi.org/10.3389/fpls.2019.00307, 2019.
Fatichi, S., Pappas, C., and Ivanov, V. Y.: Modeling plant–water
interactions: an ecohydrological overview from the cell to the global
scale, WIREs Water, 3, 327–368, 2016.
Flynn, D. F. B. and Wolkovich, E. M.: Temperature and photoperiod drive
spring phenology across all species in a temperate forest community, New
Phytol., 219, 1353–1362, https://doi.org/10.1111/nph.15232, 2018.
Forgeard, F., Gloaguen, J. C., and Touffet, J.: Interception des
précipitations et apport au sol d'éléments minéraux par les
eaux de pluie et les pluviolessivats dans une hêtraie atlantique et dans
quelques peuplements résineux en Bretagne, Ann. Sci. Forest., 37,
53–71, 1980.
Friedman, S. P. and Jones, S. B.: Measurement and approximate critical path
analysis of the pore-scale-induced anisotropy factor of an unsaturated
porous medium, Water Resour. Res., 37, 2929–2942, 2001.
Friend, A. D., Stevens, A. K., Knox, R. G., and Cannell, M. G. R.: A
process-based, terrestrial biosphere model of ecosystem dynamics (Hybrid v3.
0), Ecol. Model., 95, 249–287, 1997.
Fu, Y., Zhang, H., Dong, W., and Yuan, W.: Comparison of phenology models
for predicting the onset of growing season over the Northern
Hemisphere, Plos One, 9, e109544, https://doi.org/10.1371/journal.pone.0109544, 2014.
Gauzere, J., Delzon, S., Davi, H., Bonhomme, M., de Cortazar-Atauri, I. G.,
and Chuine, I.: Integrating interactive effects of chilling and photoperiod
in phenological process-based models. A case study with two European tree
species: Fagus sylvatica and Quercus petraea, Agr. Forest Meteorol., 244,
9–20, 2017.
Gebauer, T., Horna, V., and Leuschner, C.: Canopy transpiration of pure and
mixed forest stands with variable abundance of European beech, J.
Hydrol., 442, 2–14, 2012.
Gerke, H.: Untersuchungen zum Wasserhaushalt eines
Kalkbuchenwald-Ökosystems und zur Wasserbewegung in flachgründigen
Böden und im durchwurzelten Kalkgestein als Grundlage zur
Modellentwicklung, Forschungszentrum Waldökosysteme, Waldsterben, 1987.
Giacomin, A. and Trucchi, P.: Rainfall interception in a beech coppice
(Acquerino, Italy), J. Hydrol., 137, 141–147, 1992.
Gill, D. S., Amthor, J. S., and Bormann, F. H.: Leaf phenology, photosynthesis,
and the persistence of saplings and shrubs in a mature northern hardwood
forest, Tree Physiol., 18, 281–289, 1998.
Granier, A. and Bréda, N.: Modelling canopy conductance and stand
transpiration of an oak forest from sap flow measurements, Ann. Sci.
Forest., 53, 537–546, 1996.
Granier, A., Biron, P., and Lemoine, D.: Water balance, transpiration and
canopy conductance in two beech stands, Agr. Forest Meteorol., 100,
291–308, 2000.
Gressler, E., Jochner, S., Capdevielle-Vargas, R. M., Morellato, L. P. C., and Menzel, A.: Vertical variation in autumn leaf phenology of Fagus sylvatica
L. in southern Germany, Agr. Forest Meteorol., 201, 176–186, 2015.
Greenwood, S., Ruiz-Benito, P., Martínez-Vilalta, J., Lloret, F.,
Kitzberger, T., Allen, C. D., Fensham, R., Laughlin, D. C., Kattge, J.,
Bönisch, G., Kraft, N. J., and Jump, A. S.: Tree mortality across biomes is
promoted by drought intensity, lower wood density and higher specific leaf
area, Ecol. Lett., 20, 539–553, 2017.
Grismer, M. E., Bachman, S., and Powers, T.: A comparison of groundwater
recharge estimation methods in a semi-arid, coastal avocado and citrus
orchard (Ventura County, California), Hydrol. Process., 14, 2527–2543,
2000.
Grote, R. and Pretzsch, H.: A model for individual tree development based
on physiological processes, Plant Biol., 4, 167–180, 2002.
Grote, R., Korhonen, J., and Mammarella, I.: Challenges for evaluating
process-based models of gas exchange at forest sites with fetches of various
species, Forest Syst., 20, 389–406, 2011.
Grote, R., Gessler, A., Hommel, R., Poschenrieder, W., and Priesack, E.:
Importance of tree height and social position for drought-related stress on
tree growth and mortality, Trees, 30, 1467–1482, 2016.
Grossiord, C., Granier, A., Ratcliffe, S., Bouriaud, O., Bruelheide, H.,
Chećko, E., Forrester, D. I., Muhie Dawud S., Finer, L., Pollastrini,
M., Scherer-Lorenzen, M., Valladares, F., Bonal, D., and Gessler, A.: Tree
diversity does not always improve resistance of forest ecosystems to
drought, P. Natl. Acad. Sci. USA, 111, 14812–14815, 2014.
Grossiord, C.: Having the right neighbors: how tree species diversity
modulates drought impacts on forests, New Phytol., https://doi.org/10.1111/nph.15667, online first, 2018.
Gutsch, M., Lasch-Born, P., Suckow, F., and Reyer, C.: Modeling of two
different water uptake approaches for mono-and mixed-species forest
stands, Forests, 6, 2125–2147, 2015.
Hänninen, H.: Modelling bud dormancy release in trees from cool and
temperate regions, Acta For. Fenn., 213, 1–47, 1990.
Hanson, P. J., Amthor, J. S., Wullschleger, S. D., Wilson, K. B., Grant, R.
F., Hartley, A., Hui, D., Hunt, R., Johnson, D., and Kimball, J.: Oak forest
carbon and water simulations: model intercomparisons and evaluations against
independent data, Ecol. Monogr., 74, 443–489, 2004.
Hardie, M. A., Cotching, W. E., Doyle, R. B., Holz, G., Lisson, S., and
Mattern, K.: Effect of antecedent soil moisture on preferential flow in a
texture-contrast soil, J. Hydrol., 398, 191–201, 2011.
Hassan, R., Scholes, R., and Ash, N.: Millennium Ecosystem
Assessment – Ecosystems and Human Well-Being: Current State and Trends,
Island Press, Washington, DC, USA, 2005.
Heil, K.: Wasserhaushalt und Stoffumsatz in Fichten-(Picea abies (L.)
Karst.) und Buchenökosystemen (Fagus sylvatica L.) der höheren Lagen
des Bayer, Waldes, Doctoral dissertation, Univ. München, 1996.
Herbst, M., Eschenbach, C., and Kappen, L.: Water use in neighbouring stands
of beech (Fagus sylvatica L.) and black alder (Alnus glutinosa (L.)
Gaertn.), Ann. For. Sci., 56, 107–120, 1999.
Herbst, M., Rosier, P. T., Morecroft, M. D., and Gowing, D. J.: Comparative
measurements of transpiration and canopy conductance in two mixed deciduous
woodlands differing in structure and species composition, Tree
Physiol., 28, 959–970, 2008.
Herr, A., Dambacher, J. M., Pinkard, E., Glen, M., Mohammed, C., and
Wardlaw, T.: The uncertain impact of climate change on forest
ecosystems–How qualitative modelling can guide future research for
quantitative model development, Environ. Model. Softw., 76, 95–107, 2016.
Hörmann, G., Branding, A., Clemen, T., Herbst, M., Hinrichs, A., and
Thamm, F.: Calculation and simulation of wind controlled canopy interception
of a beech forest in Northern Germany, Agr. Forest Meteorol., 79,
131–148, 1996.
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B.,
Bouwer, L., Braun, A., Colette, A., Déqué, M., Georgievski, G., Georgopoulou, E., Gobiet, A., Menut, L., Nikulin, G., Haensler, A., Hempelmann, N., Jones, C., Keuler, K., Kovats, S., Kröner, N., Kotlarski, S., Kriegsmann, A., Martin, E., van Meijgaard, E., Moseley, C., Pfeifer, S., Preuschmann, S., Radermacher, C., Radtke, K., Rechid, D., Rounsevell, M., Samuelsson, P., Somot, S., Soussana, J.-F., Teichmann, C., Valentini, R., Vautard, R., Weber, B., and Yiou, P.: EURO-CORDEX: new high-resolution climate change
projections for European impact research, Reg. Environ. Change 14,
563–578, 2014.
Jacob, D., Kotova, L., Teichmann, C., Sobolowski, S. P., Vautard, R.,
Donnelly, C., Koutroulis, A. G., Grillakis, M. G., Tsanis, I. K., Damm, A.,
Sakalli, A., and van Vliet, M.: Climate impacts in Europe under
+1.5 ∘C global warming, Earths Future, 6, 264–285, 2018.
Jactel, H., Bauhus, J., Boberg, J., Bonal, D., Castagneyrol, B., Gardiner,
B., Gonzalez-Olabarria, J. R., Koricheva, J., Meurisse, N., and Brockerhoff, E.
G.: Tree diversity drives forest stand resistance to natural
disturbances, Curr. For. Rep., 3, 223–243, 2017.
Jetten, V. G.: Interception of tropical rain forest: performance of a canopy
water balance model, Hydrol. Process., 10, 671–685, 1996.
Jolly, W. M., Nemani, R., and Running, S. W.: Enhancement of understory
productivity by asynchronous phenology with overstory competitors in a
temperate deciduous forest, Tree Physiol., 24, 1069–1071, 2004.
Jonard, F., André, F., Ponette, Q., Vincke, C., and Jonard, M.: Sap flux
density and stomatal conductance of European beech and common oak trees in
pure and mixed stands during the summer drought of 2003, J.
Hydrol., 409, 371–381, 2011.
Jonard, M.: HETEROFOR-1.0_LGPL_FINAL: Sixth release of HETEROFOR (Version HETEROFOR-1.0_FinalVersion), Zenodo, https://doi.org/10.5281/zenodo.3647920, 2020.
Jonard, M., André, F., and Ponette, Q.: Modeling leaf dispersal in mixed
hardwood forests using a ballistic approach, Ecology, 87, 2306–2318,
2006.
Jonard, M., André, F., Jonard, F., Mouton, N., Procès, P., and
Ponette, Q.: Soil carbon dioxide efflux in pure and mixed stands of oak and
beech, Ann. For. Sci., 64, 141–150, 2007.
Jonard, M., André, F., and Ponette, Q.: Tree species mediated effects on
leaf litter dynamics in pure and mixed stands of oak and beech, Can. J.
Forest Res., 38, 528–538, 2008.
Jonard, M., André, F., and de Wergifosse, L.: Code of HETEROFOR 1.0, https://doi.org/10.5281/zenodo.3591348, 2019.
Jonard, M., André, F., de Coligny, F., de Wergifosse, L., Beudez, N., Davi, H., Ligot, G., Ponette, Q., and Vincke, C.: HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 1: Carbon fluxes and tree dimensional growth, Geosci. Model Dev., 13, 905–935, https://doi.org/10.5194/gmd-13-905-2020, 2020a.
Jonard, M., André, F., and de Wergifosse, L.: Installer of HETEROFOR 1.0, http://amap-dev.cirad.fr/projects/capsis/files, last access: 29 February 2020b.
Jones, H. G., Hillis, R. M., Gordon, S. L., and Brennan, R. M.: An approach to the determination of winter chill requirements for different Ribes cultivars, Plant Biol., 15, 18–27, 2013.
Knoche, D., Embacher, A., and Katzur, J.: Water and element fluxes of red
oak ecosystems during stand development on post-mining sites (Lusatian
Lignite District), Water Air Soil Poll., 141, 219–231, 2002.
Kornhuber, K., Osprey, S., Coumou, D., Petri, S., Petoukhov, V., Rahmstorf,
S., and Gray, L.: Extreme weather events in early summer 2018 connected by a
recurrent hemispheric wave-7 pattern, Environ. Res. Lett., 14, 054002, https://doi.org/10.1088/1748-9326/ab13bf, 2019.
Kovats, R. S., Valentini, R., Bouwer, L. M., Georgopoulou, E., Jacob, D.,
Martin, E., Rounsevell, M., and Soussana, J.-F.: Europe, in: Climate Change
2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects.
Contribution of Working Group II to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, Cambridge University Press,
1267–1326, 2014.
Kramer, K.: Selecting a model to predict the onset of growth of Fagus
sylvatica, J. Appl. Ecol., 172–181, 1994.
Ladekarl, U. L., Rasmussen, K. R., Christensen, S., Jensen, K. H., and
Hansen, B.: Groundwater recharge and evapotranspiration for two natural
ecosystems covered with oak and heather, J. Hydrol., 300, 76–99, 2005.
Leinonen, I. and Kramer, K.: Applications of phenological models to predict
the future carbon sequestration potential of boreal forests, Clim.
Change, 55, 99–113, 2002.
Lemée, G.: Recherches sur les ecosystemes des reserves biologiques de la
foret de Fontainebleau, IV. Entrees d'elements mineraux par les
precipitations et transfert au sol par le pluviolessivage, Oecolog.
Plantar., 1974.
Leuschner, C.: Walddynamik in der Lüneburger Heide: Ursachen,
Mechanismen und die Rolle der Ressourcen, Habilitation thesis, Univ. Götingen, 1994.
Levia Jr., D. F. and Herwitz, S. R.: Physical properties of water in
relation to stemflow leachate dynamics: implications for nutrient
cycling, Can. J. Forest Res., 30, 662–666, 2000.
Lindner, M., Fitzgerald, J. B., Zimmermann, N. E., Reyer, C., Delzon, S.,
van der Maaten, E., Schelhaas, M. J., Lasch, P., Eggers, J., van der
Maaten-Theunissen, M., Suckow, F., Psomas, A., Poulter, B., and Hanewinkel,
M.: Climate change and European forests: what do we know, what are the
uncertainties, and what are the implications for forest management?, J.
Environ. Manage., 146, 69–83, 2014.
Liu, Q., Piao, S., Janssens, I. A., Fu, Y., Peng, S., Lian, X., Ciais, P.,
Myneni, R. B., Pe nuelas, J., and Wang, T.: Extension of the growing season increases vegetation exposure to frost, Nat. Commun., 9, 426, https://doi.org/10.1038/s41467-017-02690-y, 2018.
Lopez, O. R., Farris-Lopez, K., Montgomery, R. A., and Givnish, T. J.: Leaf
phenology in relation to canopy closure in southern Appalachian trees, Am.
J. Bot., 95, 1395–1407, 2008.
Martin-StPaul, N., Delzon, S., and Cochard, H.: Plant resistance to drought
depends on timely stomatal closure, Ecol. Lett., 20, 1437–1447, 2017.
Martínez-Vilalta, J. and Lloret, F.: Drought-induced vegetation shifts in terrestrial ecosystems: the key role of regeneration dynamics, Glob. Planet. Change, 144, 94–108, 2016.
Matzner, E. and Ulrich, B.: Bilanzierung jährlicher Elementflüsse
in Waldökosystemen im Solling, Z. Pflanz. Bodenkunde, 144, 660–681, 1981.
McDowell, N. G. and Allen, C. D.: Darcy's law predicts widespread forest
mortality under climate warming, Nat. Clim. Change, 5, 669–672, 2015.
Meir, P., Wood, T. E., Galbraith, D. R., Brando, P. M., Da Costa, A. C.,
Rowland, L., and Ferreira, L. V.: Threshold responses to soil moisture deficit
by trees and soil in tropical rain forests: insights from field
experiments, BioScience, 65, 882–892, 2015.
Messier, C., Puettmann, K., Chazdon, R., Andersson, K. P., Angers, V. A.,
Brotons, L., Filotas, E., Tittler, R., Parrot, L., and Levin, S. A.: From
management to stewardship: viewing forests as complex adaptive systems in an
uncertain world, Conserv. Lett., 8, 368–377, 2015.
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and
Teller, E.: Equation of state calculations by fast computing machines, J.
Chem. Phys., 21, 1087–1092, 1953.
Michopoulos, P., Baloutsos, G., Nakos, G., and Economou, A.: Effects of bulk
precipitation pH and growth period on cation enrichment in precipitation
beneath the canopy of a beech (Fagus moesiaca) forest stand, Sci. Total
Environ., 281, 79–85, 2001.
Monteith, J. L.: Evaporation and environment, Symposia of the Society for Experimental Biology, 19, 205–234, 1965.
Mosello, R., Brizzio, M. C., Kotzias, D., Marchetto, A., Rembges, D., and
Tartari, G.: The chemistry of atmospheric deposition in Italy in the
framework of the National Programme for Forest Ecosystems Control
(CONECOFOR), J. Limnol., 61, 77–92, 2002.
Müller, J. and Bolte, A.: The use of lysimeters in forest hydrology
research in north-east Germany, Agr. Forest Res., 59, 1–10, 2009.
Murphy, E. M., Ginn, T. R., and Phillips, J. L.: Geochemical estimates of
paleorecharge in the Pasco Basin: Evaluation of the chloride mass balance
technique, Water Resour. Res., 32, 2853–2868, 1996.
Muzylo, A., Llorens, P., Valente, F., Keizer, J. J., Domingo, F., and Gash,
J. H. C.: A review of rainfall interception modelling, J. Hydrol., 370,
191–206, 2009.
Myhre, G., Shindell, D., Breon, F. M., Collins, W., Fuglestvedt, J., Huang,
J., Koch, D., Lamarque, J. F., Lee, D., Mendoza, B., Nakajima, T., Robock,
A., Stephens, G., Takemura, T., and Zhang, H.: Anthropogenic and Natural
Radiative Forcing, in: Climate Change 2013: The Physical Science Basis,
Cambridge University Press, Cambridge, UK, 659–740, 2013.
Nagy, L.: Data to the precipitation interception of a Galatello-Quercetum
roboris (forest steppe-forest) at Ujszentmargita, Acta Bot., 20, 327–332, 1974.
Neal, C., Robson, A. J., Bhardwaj, C. L., Conway, T., Jeffery, H. A., Neal,
M., Ryland, G. P., Smith, C. J., and Walls, J.: Relationships between
precipitation, stemflow and throughfall for a lowland beech plantation,
Black Wood, Hampshire, southern England: findings on interception at a
forest edge and the effects of storm damage, J. Hydrol., 146, 221–233, 1993.
Nizinski, G. and Saugier, B.: Mesures et modélisation de l'interception
nette dans une futaie de chênes, Oecolog. Plantar., 9, 311–329, 1988.
Nkotagu, H.: Application of environmental isotopes to groundwater recharge
studies in a semi-arid fractured crystalline basement area of Dodoma,
Tanzania, J. Afr. Earth Sci., 22, 443–457, 1996.
Norby, R. J., Warren, J. M., Iversen, C. M., Medlyn, B. E., and McMurtrie,
R. E.: CO2 enhancement of forest productivity constrained by limited
nitrogen availability, P. Natl. Acad. Sci. USA, 107, 19368–19373, 2010.
Öberg, G. M.: The biogeochemistry of chlorine in soil, in: Natural
production of organohalogen compounds, 43–62, 2003.
Obiefuna, G. I. and Orazulike, D. M.: Application and comparison of
groundwater recharge estimation methods for the semiarid Yola area,
northeast, Nigeria, Global Journal of Geological Sciences, 9, 177–204, 2011.
Pacala, S. W. and Deutschman, D. H.: Details that matter: the spatial
distribution of individual trees maintains forest ecosystem function, Oikos,
357–365, 1995.
Päivänen, J.: Hydraulic conductivity and water retention in peat
soils, Suomen metsätieteellinen seura, 129, 7563, https://doi.org/10.14214/aff.7563, 1973.
Park, T., Ganguly, S., Tømmervik, H., Euskirchen, E. S., Høgda, K. A.,
Karlsen, S. R., Brovkin, V., Nemani, R., and Myneni, R. B.: Changes in
growing season duration and productivity of northern vegetation inferred
from long-term remote sensing data, Environ. Res. Lett., 11, 084001, https://doi.org/10.1088/1748-9326/11/8/084001, 2016.
Pedro, M. S., Rammer, W., and Seidl, R.: Tree species diversity mitigates
disturbance impacts on the forest carbon cycle, Oecologia, 177, 619–630,
2015.
Petriţan, A. M., von Lüpke, B., and Petriţan, I. C.: Influence of
light availability on growth, leaf morphology and plant architecture of
beech (Fagus sylvatica L.), maple (Acer pseudoplatanus L.) and ash (Fraxinus
excelsior L.) saplings, Eur. J. For. Res., 128, 61–74, 2009.
Ping, J., Nichol, C., and Wei, X.: Quantification of groundwater recharge
using the chloride mass balance method in a semi-arid mountain terrain,
South Interior British Columbia, Canada, J. Chem. Pharm. Res., 6,
383–388, 2014.
Pletsers, A., Caffarra, A., Kelleher, C. T., and Donnelly, A.: Chilling
temperature and photoperiod influence the timing of bud burst in juvenile
Betula pubescens Ehrh. and Populus tremulaL.trees, Ann. For. Sci., 72,
941–953, 2015.
Poncelet, L.: Climat de la Belgique, Planches 12, 13, 14 et commentaires,
Atlas de Belgique, Comité national de Géographie, 1956.
Pretzsch, H., Grote, R., Reineking, B., Rötzer, T. H., and Seifert, S.
T.: Models for forest ecosystem management: a European perspective, Ann.
Bot.-London, 101, 1065–1087, 2007.
Pretzsch, H., Schütze, G., and Uhl, E.: Resistance of European tree species
to drought stress in mixed versus pure forests: evidence of stress release
by inter-specific facilitation, Plant Biol., 15, 483–495, 2013.
Primack, R. B., Ibá nez, I., Higuchi, H., Lee, S. D., Miller-Rushing,
A. J., Wilson, A. M., and Silander Jr, J. A.: Spatial and interspecific
variability in phenological responses to warming temperatures, Biol.
Conserv., 142, 2569–2577, 2009.
Rasche, L., Fahse, L., and Bugmann, H.: Key factors affecting the future
provision of tree-based forest ecosystem goods and services, Clim.
Change, 118, 579–593, 2013.
Risser, D. W., Gburek, W. J., and Folmar, G. J.: Comparison of recharge
estimates at a small watershed in east-central Pennsylvania, USA, Hydrogeol.
J., 17, 287–298, 2009.
Roberts, J. and Rosier, P.: The effect of broadleaved woodland on Chalk
groundwater resources, Q. J. Eng. Geol. Hydrogeo., 39, 197–207, 2006.
Roberts, A. M., Tansey, C., Smithers, R. J., and Phillimore, A. B.:
Predicting a change in the order of spring phenology in temperate
forests, Glob. Change Biol., 21, 2603–2611, 2015.
Rötzer, T., Grote, R., and Pretzsch, H.: Effects of environmental
changes on the vitality of forest stands, Eur. J. For. Res., 124,
349–362, 2005.
Rötzer, T., Leuchner, M., and Nunn, A. J.: Simulating stand climate,
phenology, and photosynthesis of a forest stand with a process-based growth
model, Int. J. Biometeorol., 54, 449–464, 2010.
Rötzer, T., Biber, P., Moser, A., Schäfer, C., and Pretzsch, H.: Stem
and root diameter growth of European beech and Norway spruce under extreme
drought, Forest Ecol. Manag., 406, 184–195, 2017.
Rowe, L. K.: Rainfall interception by an evergreen beech forest, Nelson, New
Zealand, J. Hydrol., 66, 143–158, 1983.
Ryan, M. G. and Yoder, B. J.: Hydraulic limits to tree height and tree
growth, Bioscience, 47, 235–242, 1997.
Sammis, T. W., Evans, D. D., and Warrick, A. W.: Comparison of methods to
estimate deep percolation rates 1, JAWRA J. Am. Water Resour. As., 18,
465–470, 1982.
Sanz-Pérez, V. and Castro-Díez, P: Summer water stress and shade alter
bud size and budburst date in three Mediterranean Quercus
species, Trees, 24, 89–97, 2010.
Scanlon, B. R., Healy, R. W., and Cook, P. G.: Choosing appropriate
techniques for quantifying groundwater recharge, Hydrogeol. J., 10,
18–39, 2002.
Schaber, J. and Badeck, F. W.: Physiology-based phenology models for forest
tree species in Germany, Int. J. Biometeorol., 47, 193–201, 2003.
Schäfer, K. V. R., Oren, R., and Tenhunen, J. D.: The effect of tree
height on crown level stomatal conductance, Plant, Cell Environ., 23,
365–375, 2000.
Schäfer, C., Thurm, E. A., Rötzer, T., Kallenbach, C., and Pretzsch, H.:
Daily stem water deficit of Norway spruce and European beech in intra-and
interspecific neighborhood under heavy drought, Scand. J. For. Res., 33,
568–582, 2018.
Schieber, B.: Spring phenology of European beech (Fagus sylvatica L.) in a
submountain beech stand with different stocking in 1995–2004, J. For. Sci.,
52, 208–216, 2006.
Schipka, F., Heimann, J., and Leuschner, C.: Regional variation in canopy
transpiration of Central European beech forests, Oecolog., 143, 260–270,
2005.
Schmidt, M., Nagel, J., and Skovsgaard, J. P.: Evaluating individual tree
growth models, in: Sustainable Forest Management, Springer, Berlin,
Heidelberg, 151–163, 2006.
Schmidt, M.: Canopy transpiration of beech forests in Northern
Bavaria–Structure and function in pure and mixed stands with oak at colline
and montane sites, Doctoral dissertation, Univ. of Bayreuth, 2007.
Shvidenko, A., Barber, C., and Persson, R.: Forest and woodland systems, in:
Ecosystems and human well-being: current state and trends, Island Press,
Washington, DC, USA, 2005.
Schwendenmann, L., Pendall, E., Sanchez-Bragado, R., Kunert, N., and
Hölscher, D.: Tree water uptake in a tropical plantation varying in tree
diversity: interspecific differences, seasonal shifts and
complementarity, Ecohydrology, 8, 1–12, 2015.
Seidl, R., Rammer, W., Scheller, R. M., and Spies, T. A.: An individual-based
process model to simulate landscape-scale forest ecosystem dynamics, Ecol.
Model., 231, 87–100, 2012.
Seiwa, K.: Changes in leaf phenology are dependent on tree height in Acer
mono, a deciduous broad-leaved tree, Ann. Bot., 83, 355-361, 1999a.
Seiwa, K.: Ontogenetic changes in leaf phenology of Ulmus davidiana var.
japonica, a deciduous broad-leaved tree, Tree Physiol., 19, 793–797,
1999b.
Simioni, G., Marie, G., and Huc, R.: Influence of vegetation spatial
structure on growth and water fluxes of a mixed forest: Results from the
NOTG 3D model, Ecol. Model., 328, 119–135, 2016.
Soares, P., Tomé, M., Skovsgaard, J. P., and Vanclay, J. K.: Evaluating
a growth model for forest management using continuous forest inventory
data, Forest Ecol. Manag., 71, 251–265, 1995.
Staelens, J., De Schrijver, A., Verheyen, K., and Verhoest, N. E.: Rainfall
partitioning into throughfall, stemflow, and interception within a single
beech (Fagus sylvatica L.) canopy: influence of foliation, rain event
characteristics, and meteorology, Hydrol. Process., 22, 33–45, 2008.
Stocker, T. F., Qin,
D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia,
Y., Bex, V., and Midgley, P. M.: Climate change 2013: The physical
science basis, Intergovernmental Panel on Climate Change, Working Group I
Contribution to the IPCC Fifth Assessment Report (AR5), Cambridge Univ.
Press, New York, 25 pp., 2013.
Szabo, M.: Net precipitation in a Hungarian oak forest ecosystem, Acta Bot., 21, 151–165, 1975.
Tarazona, T., Santa Regina, I., and Calvo, R.: Interception, throughfall and
stemflow in two forests of the “Sierra de la Demanda” in the Province of
Burgos, Pirineos, 147, 27–40, 1996.
Teh, C.: Introduction to mathematical modeling of crop growth. How the
equations are derived and assembled into a computer program, Brown Walker
Press, Boca Raton, Florida, USA, 2006.
Teskey, R., Wertin, T., Bauweraerts, I., Ameye, M., McGuire, M. A., and Steppe,
K.: Responses of tree species to heat 786 waves and extreme heat events,
Plant Cell Environ., 38, 1699–1712, 2015.
Ting, C. S., Kerh, T., and Liao, C. J.: Estimation of groundwater recharge
using the chloride mass-balance method, Pingtung Plain, Taiwan, Hydrogeol.
J., 6, 282–292, 1998.
Todd, D. K. and Mays, L. W.: Groundwater hydrology edition, John Willey Sons,
New York, USA, 2005
Topp, G. C., Davis, J. L., and Annan, A. P.: Electromagnetic determination
of soil water content: Measurements in coaxial transmission lines, Water
Resour. Res., 16, 574–582, 1980.
Tuzet, A., Perrier, A., and Leuning, R.: A coupled model of stomatal
conductance, photosynthesis and transpiration, Plant Cell Envir., 26,
1097–1116, 2003.
Tyler, S. W. and Walker, G. R.: Root zone effects on tracer migration in
arid zones, Soil Sci. Soc. Am. J., 58, 25–31, 1994.
Ulrich, E., Lelong, N., Lanier, M., and Schneider, A.: Interception des
pluies en forêt: facteurs déterminants, Bulletin technique,
33–45, 1995.
Vanclay, J. K. and Skovsgaard, J. P.: Evaluating forest growth
models, Ecol. Model., 98, 1–12, 1997.
Van der Perre, R., Bythell, S., Bogaert, P., Claessens, H., Ridremont, F.,
Tricot, C., Vincke, C., and Ponette, Q.: La carte bioclimatique de Wallonie:
un nouveau découpage écologique du territoire pour le choix des
essences forestières, Forêt-Nature, 135, 47–58, 2015.
Van Der Salm, C., Reinds, G. J., and De Vries, W.: Assessment of the water
balance of European forests: a model study, In Biogeochemical Investigations
of Terrestrial, Freshwater, and Wetland Ecosystems across the Globe, Springer, Dordrecht, 175–190, 2004.
Van Stan, J. T. and Gordon, D. A.: Mini-Review: Stemflow as a Resource
Limitation to Near-Stem Soils, Front Plant Sci., 9, 248, https://doi.org/10.3389/fpls.2018.00248, 2018.
Vincke, C., Granier, A., Breda, N., and Devillez, F.: Evapotranspiration of
a declining Quercus robur (L.) stand from 1999 to 2001. II. Daily actual
evapotranspiration and soil water reserve, Ann. For. Sci., 62, 615–623,
2005.
Vitasse, Y.: Ontogenic changes rather than difference in temperature cause
understory trees to leaf out earlier, New Phytol., 198, 149-155, 2013.
Vitasse, Y. and Basler, D.: What role for photoperiod in the bud burst
phenology of European beech, Eur. J. Forest Res., 132, 1–8, 2013.
Walker, J. P., Willgoose, G. R., and Kalma, J. D.: In situ measurement of
soil moisture: a comparison of techniques, J. Hydrol., 293, 85–99,
2004.
Weynants, M., Vereecken, H., and Javaux, M.: Revisiting Vereecken
pedotransfer functions: Introducing a closed-form hydraulic model, Vadose
Zone J., 8, 86–95, 2009.
Willis, T. M., Black, A. S., and Meyer, W. S.: Estimates of deep percolation
beneath cotton in the Macquarie Valley, Irrig. Sci., 17, 141–150, 1997.
Wolkovich, E. M., Cook, B. I., Allen, J. M., Crimmins, T. M., Betancourt, J.
L., Travers, S. E., Pau, S., Regetz, J., Davies T. J., Kraft N. J., Ault, T.
R., Bolmgren, K., Mazer, S. J., McCabe, G. J., McGill, B. J., Parmesan, C.,
Salamin, N., Schwartz, M. D., and Cleland, E. E.: Warming experiments
underpredict plant phenological responses to climate
change, Nature, 485, 494–497, 2012.
Xie, Y., Wang, X., Wilson, A. M., and Silander Jr., J. A.: Predicting autumn
phenology: how deciduous tree species respond to weather stressors, Agr.
Forest Meteorol., 250, 127–137, 2018.
Yuang, Z., Tao, Y., Wenbao, M., Cheng, T., Zhipeng, S., and Junqing, L.:
Morphological and physiological response of Acer catalpifolium Rehd.
Seedlings to water and light stresses, Glob. Ecol. Conserv., e00660, https://doi.org/10.1016/j.gecco.2019.e00660, 2019.
Zapater, M., Hossann, C., Bréda, N., Bréchet, C., Bonal, D., and
Granier, A.: Evidence of hydraulic lift in a young beech and oak mixed
forest using 18 O soil water labelling, Trees, 25, 885, https://doi.org/10.1007/s00468-011-0563-9, 2011.
Short summary
Given their key role in the simulation of climate impacts on tree growth, phenological and water balance processes must be integrated in models simulating forest dynamics under a changing environment. Here, we describe these processes integrated in HETEROFOR, a model accounting simultaneously for the functional, structural and spatial complexity to explore the forest response to forestry practices. The model evaluation using phenological and soil water content observations is quite promising.
Given their key role in the simulation of climate impacts on tree growth, phenological and water...
