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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Revised manuscript under review for TC
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Hugues Goosse, Quentin Dalaiden, Marie G. P. Cavitte, and Liping Zhang
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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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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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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
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
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
The community-centered aquatic biogeochemistry model unified RIVE v1.0: a unified version for water column
Modeling of non-structural carbohydrate dynamics by the spatially explicit individual-based dynamic global vegetation model SEIB-DGVM (SEIB-DGVM-NSC version 1.0)
Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models
MEDFATE 2.9.3: a trait-enabled model to simulate Mediterranean forest function and dynamics at regional scales
The statistical emulators of GGCMI phase 2: responses of year-to-year variation of crop yield to CO2, temperature, water and nitrogen perturbations
Modelling the role of livestock grazing in C and N cycling in grasslands with LPJmL5.0-grazing
Observation-based sowing dates and cultivars significantly affect yield and irrigation for some crops in the Community Land Model (CLM5)
Implementation of trait-based ozone plant sensitivity in the Yale Interactive terrestrial Biosphere model v1.0 to assess global vegetation damage
AdaScape 1.0: a coupled modelling tool to investigate the links between tectonics, climate, and biodiversity
The Permafrost and Organic LayEr module for Forest Models (POLE-FM) 1.0
An along-track biogeochemical Argo modelling framework, a case study of model improvements for the Nordic Seas
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
A Novel Eulerian Reaction-Transport Model to Simulate Age and Reactivity Continua Interacting with Mixing Processes
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
Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model
ForamEcoGEnIE 2.0: incorporating symbiosis and spine traits into a trait-based global planktic foraminiferal model
FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles
Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266)
Non-Redfieldian carbon model for the Baltic Sea (ERGOM version 1.2) – implementation and budget estimates
Implementation of a new crop phenology and irrigation scheme in the ISBA land surface model using SURFEX_v8.1
Simulating long-term responses of soil organic matter turnover to substrate stoichiometry by abstracting fast and small-scale microbial processes: the Soil Enzyme Steady Allocation Model (SESAM; v3.0)
Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0)
Forest fluxes and mortality response to drought: model description (ORCHIDEE-CAN-NHA r7236) and evaluation at the Caxiuanã drought experiment
Matrix representation of lateral soil movements: scaling and calibrating CE-DYNAM (v2) at a continental level
CANOPS-GRB v1.0: a new Earth system model for simulating the evolution of ocean–atmosphere chemistry over geologic timescales
Low sensitivity of three terrestrial biosphere models to soil texture over the South American tropics
FESDIA (v1.0): exploring temporal variations of sediment biogeochemistry under the influence of flood events using numerical modelling
Impact of changes in climate and CO2 on the carbon storage potential of vegetation under limited water availability using SEIB-DGVM version 3.02
FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics
Climate and parameter sensitivity and induced uncertainties in carbon stock projections for European forests (using LPJ-GUESS 4.0)
Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon
SurEau-Ecos v2.0: a trait-based plant hydraulics model for simulations of plant water status and drought-induced mortality at the ecosystem level
Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation
Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP)
CLM5-FruitTree: a new sub-model for deciduous fruit trees in the Community Land Model (CLM5)
The impact of hurricane disturbances on a tropical forest: implementing a palm plant functional type and hurricane disturbance module in ED2-HuDi V1.0
A validation standard for area of habitat maps for terrestrial birds and mammals
Soil Cycles of Elements simulator for Predicting TERrestrial regulation of greenhouse gases: SCEPTER v0.9
Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2)
A map of global peatland extent created using machine learning (Peat-ML)
Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES)
ECOSMO II(CHL): a marine biogeochemical model for the North Atlantic and the Arctic
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.
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.
Shuaitao Wang, Vincent Thieu, Gilles Billen, Josette Garnier, Marie Silvestre, Audrey Marescaux, Xingcheng Yan, and Nicolas Flipo
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-135, https://doi.org/10.5194/gmd-2023-135, 2023
Revised manuscript accepted for GMD
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This paper presents unified RIVE v1.0, a unified version of aquatic biogeochemistry model RIVE. It harmonizes different RIVE implementations, providing the referenced formalisms for microorganisms’ 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.
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.
Skyler Kern, Mary E. McGuinn, Katherine M. Smith, Nadia Pinardi, Kyle E. Niemeyer, Nicole S. Lovenduski, and Peter E. Hamlington
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-107, https://doi.org/10.5194/gmd-2023-107, 2023
Revised manuscript accepted for GMD
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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.
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.
Weihang Liu, Tao Ye, Christoph Müller, Jonas Jägermeyr, James A. Franke, Haynes Stephens, and Shuo Chen
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-74, https://doi.org/10.5194/gmd-2023-74, 2023
Revised manuscript accepted for GMD
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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 lightweight way.
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.
Sam S. Rabin, William J. Sacks, Danica L. Lombardozzi, Lili Xia, and Alan Robock
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-66, https://doi.org/10.5194/gmd-2023-66, 2023
Revised manuscript accepted for GMD
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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.
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.
Esteban Acevedo-Trejos, Jean Braun, Katherine Kravitz, N. Alexia Raharinirina, and Benoît Bovy
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-72, https://doi.org/10.5194/gmd-2023-72, 2023
Revised manuscript accepted for GMD
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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 the evolution of land and landforms co-evolve to produce distinct biodiversity patterns on geological time scales.
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.
Veli Çağlar Yumruktepe, Erik Askov Mousing, Jerry Tjiputra, and Annette Samuelsen
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-25, https://doi.org/10.5194/gmd-2023-25, 2023
Revised manuscript accepted for GMD
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We present a framework that links biogeochemical-Argo data to models. We utilize Argo dataset to identify sources of model errors, improve and validate model configurations. We imitate the observed physical conditions along the biogeochemical-Argo tracks and focus on the biogeochemical model formulations and parameterizations. We showcase the framework for the Nordic Seas and focus on improvements towards model chlorophyll-a and production dynamics.
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.
Jurjen Rooze, Heewon Jung, and Hagen Radtke
EGUsphere, https://doi.org/10.5194/egusphere-2023-46, https://doi.org/10.5194/egusphere-2023-46, 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, bottom trawling, etc. We derive equations for simulating the effect of mixing on central moments that describe the distributions. Then, we demonstrate applications in which these equations are used to model continua in disturbed natural environments.
Taeken Wijmer, Ahmad Al Bitar, Ludovic Arnaud, Rémy Fieuzal, and Eric Ceschia
EGUsphere, https://doi.org/10.5194/egusphere-2023-48, https://doi.org/10.5194/egusphere-2023-48, 2023
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Quantification of Carbon fluxes of crops is an essential brick for the construction of a Monitoring, Reporting and Verification approach. We developed an end-to-end platform (AgriCarbon-EO) that assimilates through an efficient 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, yield maps, and analysed at regional scale.
Maureen Beaudor, Nicolas Vuichard, Juliette Lathière, Nikolaos Evangeliou, Martin Van Damme, Lieven Clarisse, and Didier Hauglustaine
Geosci. Model Dev., 16, 1053–1081, https://doi.org/10.5194/gmd-16-1053-2023, https://doi.org/10.5194/gmd-16-1053-2023, 2023
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Ammonia mainly comes from the agricultural sector, and its volatilization relies on environmental variables. Our approach aims at benefiting from an Earth system model framework to estimate it. By doing so, we represent a consistent spatial distribution of the emissions' response to environmental changes.
We greatly improved the seasonal cycle of emissions compared with previous work. In addition, our model includes natural soil emissions (that are rarely represented in modeling approaches).
Rui Ying, Fanny M. Monteiro, Jamie D. Wilson, and Daniela N. Schmidt
Geosci. Model Dev., 16, 813–832, https://doi.org/10.5194/gmd-16-813-2023, https://doi.org/10.5194/gmd-16-813-2023, 2023
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Planktic foraminifera are marine-calcifying zooplankton; their shells are widely used to measure past temperature and productivity. We developed ForamEcoGEnIE 2.0 to simulate the four subgroups of this organism. We found that the relative abundance distribution agrees with marine sediment core-top data and that carbon export and biomass are close to sediment trap and plankton net observations respectively. This model provides the opportunity to study foraminiferal ecology in any geological era.
Onur Kerimoglu, Markus Pahlow, Prima Anugerahanti, and Sherwood Lan Smith
Geosci. Model Dev., 16, 95–108, https://doi.org/10.5194/gmd-16-95-2023, https://doi.org/10.5194/gmd-16-95-2023, 2023
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In classical models that track the changes in the elemental composition of phytoplankton, additional state variables are required for each element resolved. In this study, we show how the behavior of such an explicit model can be approximated using an
instantaneous acclimationapproach, in which the elemental composition of the phytoplankton is assumed to adjust to an optimal value instantaneously. Through rigorous tests, we evaluate the consistency of this scheme.
Yuan Zhang, Devaraju Narayanappa, Philippe Ciais, Wei Li, Daniel Goll, Nicolas Vuichard, Martin G. De Kauwe, Laurent Li, and Fabienne Maignan
Geosci. Model Dev., 15, 9111–9125, https://doi.org/10.5194/gmd-15-9111-2022, https://doi.org/10.5194/gmd-15-9111-2022, 2022
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There are a few studies to examine if current models correctly represented the complex processes of transpiration. Here, we use a coefficient Ω, which indicates if transpiration is mainly controlled by vegetation processes or by turbulence, to evaluate the ORCHIDEE model. We found a good performance of ORCHIDEE, but due to compensation of biases in different processes, we also identified how different factors control Ω and where the model is wrong. Our method is generic to evaluate other models.
Thomas Neumann, Hagen Radtke, Bronwyn Cahill, Martin Schmidt, and Gregor Rehder
Geosci. Model Dev., 15, 8473–8540, https://doi.org/10.5194/gmd-15-8473-2022, https://doi.org/10.5194/gmd-15-8473-2022, 2022
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Marine ecosystem models are usually constrained by the elements nitrogen and phosphorus and consider carbon in organic matter in a fixed ratio. Recent observations show a substantial deviation from the simulated carbon cycle variables. In this study, we present a marine ecosystem model for the Baltic Sea which allows for a flexible uptake ratio for carbon, nitrogen, and phosphorus. With this extension, the model reflects much more reasonable variables of the marine carbon cycle.
Arsène Druel, Simon Munier, Anthony Mucia, Clément Albergel, and Jean-Christophe Calvet
Geosci. Model Dev., 15, 8453–8471, https://doi.org/10.5194/gmd-15-8453-2022, https://doi.org/10.5194/gmd-15-8453-2022, 2022
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Crop phenology and irrigation is implemented into a land surface model able to work at a global scale. A case study is presented over Nebraska (USA). Simulations with and without the new scheme are compared to different satellite-based observations. The model is able to produce a realistic yearly irrigation water amount. The irrigation scheme improves the simulated leaf area index, gross primary productivity, evapotransipiration, and land surface temperature.
Thomas Wutzler, Lin Yu, Marion Schrumpf, and Sönke Zaehle
Geosci. Model Dev., 15, 8377–8393, https://doi.org/10.5194/gmd-15-8377-2022, https://doi.org/10.5194/gmd-15-8377-2022, 2022
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Soil microbes process soil organic matter and affect carbon storage and plant nutrition at the ecosystem scale. We hypothesized that decadal dynamics is constrained by the ratios of elements in litter inputs, microbes, and matter and that microbial community optimizes growth. This allowed the SESAM model to descibe decadal-term carbon sequestration in soils and other biogeochemical processes explicitly accounting for microbial processes but without its problematic fine-scale parameterization.
Ensheng Weng, Igor Aleinov, Ram Singh, Michael J. Puma, Sonali S. McDermid, Nancy Y. Kiang, Maxwell Kelley, Kevin Wilcox, Ray Dybzinski, Caroline E. Farrior, Stephen W. Pacala, and Benjamin I. Cook
Geosci. Model Dev., 15, 8153–8180, https://doi.org/10.5194/gmd-15-8153-2022, https://doi.org/10.5194/gmd-15-8153-2022, 2022
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We develop a demographic vegetation model to improve the representation of terrestrial vegetation dynamics and ecosystem biogeochemical cycles in the Goddard Institute for Space Studies ModelE. The individual-based competition for light and soil resources makes the modeling of eco-evolutionary optimality possible. This model will enable ModelE to simulate long-term biogeophysical and biogeochemical feedbacks between the climate system and land ecosystems at decadal to centurial temporal scales.
Yitong Yao, Emilie Joetzjer, Philippe Ciais, Nicolas Viovy, Fabio Cresto Aleina, Jerome Chave, Lawren Sack, Megan Bartlett, Patrick Meir, Rosie Fisher, and Sebastiaan Luyssaert
Geosci. Model Dev., 15, 7809–7833, https://doi.org/10.5194/gmd-15-7809-2022, https://doi.org/10.5194/gmd-15-7809-2022, 2022
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To facilitate more mechanistic modeling of drought effects on forest dynamics, our study implements a hydraulic module to simulate the vertical water flow, change in water storage and percentage loss of stem conductance (PLC). With the relationship between PLC and tree mortality, our model can successfully reproduce the large biomass drop observed under throughfall exclusion. Our hydraulic module provides promising avenues benefiting the prediction for mortality under future drought events.
Arthur Nicolaus Fendrich, Philippe Ciais, Emanuele Lugato, Marco Carozzi, Bertrand Guenet, Pasquale Borrelli, Victoria Naipal, Matthew McGrath, Philippe Martin, and Panos Panagos
Geosci. Model Dev., 15, 7835–7857, https://doi.org/10.5194/gmd-15-7835-2022, https://doi.org/10.5194/gmd-15-7835-2022, 2022
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Currently, spatially explicit models for soil carbon stock can simulate the impacts of several changes. However, they do not incorporate the erosion, lateral transport, and deposition (ETD) of soil material. The present work developed ETD formulation, illustrated model calibration and validation for Europe, and presented the results for a depositional site. We expect that our work advances ETD models' description and facilitates their reproduction and incorporation in land surface models.
Kazumi Ozaki, Devon B. Cole, Christopher T. Reinhard, and Eiichi Tajika
Geosci. Model Dev., 15, 7593–7639, https://doi.org/10.5194/gmd-15-7593-2022, https://doi.org/10.5194/gmd-15-7593-2022, 2022
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A new biogeochemical model (CANOPS-GRB v1.0) for assessing the redox stability and dynamics of the ocean–atmosphere system on geologic timescales has been developed. In this paper, we present a full description of the model and its performance. CANOPS-GRB is a useful tool for understanding the factors regulating atmospheric O2 level and has the potential to greatly refine our current understanding of Earth's oxygenation history.
Félicien Meunier, Wim Verbruggen, Hans Verbeeck, and Marc Peaucelle
Geosci. Model Dev., 15, 7573–7591, https://doi.org/10.5194/gmd-15-7573-2022, https://doi.org/10.5194/gmd-15-7573-2022, 2022
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Drought stress occurs in plants when water supply (i.e. root water uptake) is lower than the water demand (i.e. atmospheric demand). It is strongly related to soil properties and expected to increase in intensity and frequency in the tropics due to climate change. In this study, we show that contrary to the expectations, state-of-the-art terrestrial biosphere models are mostly insensitive to soil texture and hence probably inadequate to reproduce in silico the plant water status in drying soils.
Stanley I. Nmor, Eric Viollier, Lucie Pastor, Bruno Lansard, Christophe Rabouille, and Karline Soetaert
Geosci. Model Dev., 15, 7325–7351, https://doi.org/10.5194/gmd-15-7325-2022, https://doi.org/10.5194/gmd-15-7325-2022, 2022
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The coastal marine environment serves as a transition zone in the land–ocean continuum and is susceptible to episodic phenomena such as flash floods, which cause massive organic matter deposition. Here, we present a model of sediment early diagenesis that explicitly describes this type of deposition while also incorporating unique flood deposit characteristics. This model can be used to investigate the temporal evolution of marine sediments following abrupt changes in environmental conditions.
Shanlin Tong, Weiguang Wang, Jie Chen, Chong-Yu Xu, Hisashi Sato, and Guoqing Wang
Geosci. Model Dev., 15, 7075–7098, https://doi.org/10.5194/gmd-15-7075-2022, https://doi.org/10.5194/gmd-15-7075-2022, 2022
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Plant carbon storage potential is central to moderate atmospheric CO2 concentration buildup and mitigation of climate change. There is an ongoing debate about the main driver of carbon storage. To reconcile this discrepancy, we use SEIB-DGVM to investigate the trend and response mechanism of carbon stock fractions among water limitation regions. Results show that the impact of CO2 and temperature on carbon stock depends on water limitation, offering a new perspective on carbon–water coupling.
Jing Fang, Herman H. Shugart, Feng Liu, Xiaodong Yan, Yunkun Song, and Fucheng Lv
Geosci. Model Dev., 15, 6863–6872, https://doi.org/10.5194/gmd-15-6863-2022, https://doi.org/10.5194/gmd-15-6863-2022, 2022
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Our study provided a detailed description and a package of an individual tree-based carbon model, FORCCHN2. This model used non-structural carbohydrate (NSC) pools to couple tree growth and phenology. The model could reproduce daily carbon fluxes across Northern Hemisphere forests. Given the potential importance of the application of this model, there is substantial scope for using FORCCHN2 in fields as diverse as forest ecology, climate change, and carbon estimation.
Johannes Oberpriller, Christine Herschlein, Peter Anthoni, Almut Arneth, Andreas Krause, Anja Rammig, Mats Lindeskog, Stefan Olin, and Florian Hartig
Geosci. Model Dev., 15, 6495–6519, https://doi.org/10.5194/gmd-15-6495-2022, https://doi.org/10.5194/gmd-15-6495-2022, 2022
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Understanding uncertainties of projected ecosystem dynamics under environmental change is of immense value for research and climate change policy. Here, we analyzed these across European forests. We find that uncertainties are dominantly induced by parameters related to water, mortality, and climate, with an increasing importance of climate from north to south. These results highlight that climate not only contributes uncertainty but also modifies uncertainties in other ecosystem processes.
Marcus Falls, Raffaele Bernardello, Miguel Castrillo, Mario Acosta, Joan Llort, and Martí Galí
Geosci. Model Dev., 15, 5713–5737, https://doi.org/10.5194/gmd-15-5713-2022, https://doi.org/10.5194/gmd-15-5713-2022, 2022
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This paper describes and tests a method which uses a genetic algorithm (GA), a type of optimisation algorithm, on an ocean biogeochemical model. The aim is to produce a set of numerical parameters that best reflect the observed data of particulate organic carbon in a specific region of the ocean. We show that the GA can provide optimised model parameters in a robust and efficient manner and can also help detect model limitations, ultimately leading to a reduction in the model uncertainties.
Julien Ruffault, François Pimont, Hervé Cochard, Jean-Luc Dupuy, and Nicolas Martin-StPaul
Geosci. Model Dev., 15, 5593–5626, https://doi.org/10.5194/gmd-15-5593-2022, https://doi.org/10.5194/gmd-15-5593-2022, 2022
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A widespread increase in tree mortality has been observed around the globe, and this trend is likely to continue because of ongoing climate change. Here we present SurEau-Ecos, a trait-based plant hydraulic model to predict tree desiccation and mortality. SurEau-Ecos can help determine the areas and ecosystems that are most vulnerable to drying conditions.
Rebecca J. Oliver, Lina M. Mercado, Doug B. Clark, Chris Huntingford, Christopher M. Taylor, Pier Luigi Vidale, Patrick C. McGuire, Markus Todt, Sonja Folwell, Valiyaveetil Shamsudheen Semeena, and Belinda E. Medlyn
Geosci. Model Dev., 15, 5567–5592, https://doi.org/10.5194/gmd-15-5567-2022, https://doi.org/10.5194/gmd-15-5567-2022, 2022
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We introduce new representations of plant physiological processes into a land surface model. Including new biological understanding improves modelled carbon and water fluxes for the present in tropical and northern-latitude forests. Future climate simulations demonstrate the sensitivity of photosynthesis to temperature is important for modelling carbon cycle dynamics in a warming world. Accurate representation of these processes in models is necessary for robust predictions of climate change.
Mahdi André Nakhavali, Lina M. Mercado, Iain P. Hartley, Stephen Sitch, Fernanda V. Cunha, Raffaello di Ponzio, Laynara F. Lugli, Carlos A. Quesada, Kelly M. Andersen, Sarah E. Chadburn, Andy J. Wiltshire, Douglas B. Clark, Gyovanni Ribeiro, Lara Siebert, Anna C. M. Moraes, Jéssica Schmeisk Rosa, Rafael Assis, and José L. Camargo
Geosci. Model Dev., 15, 5241–5269, https://doi.org/10.5194/gmd-15-5241-2022, https://doi.org/10.5194/gmd-15-5241-2022, 2022
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In tropical ecosystems, the availability of rock-derived elements such as P can be very low. Thus, without a representation of P cycling, tropical forest responses to rising atmospheric CO2 conditions in areas such as Amazonia remain highly uncertain. We introduced P dynamics and its interactions with the N and P cycles into the JULES model. Our results highlight the potential for high P limitation and therefore lower CO2 fertilization capacity in the Amazon forest with low-fertility soils.
Olga Dombrowski, Cosimo Brogi, Harrie-Jan Hendricks Franssen, Damiano Zanotelli, and Heye Bogena
Geosci. Model Dev., 15, 5167–5193, https://doi.org/10.5194/gmd-15-5167-2022, https://doi.org/10.5194/gmd-15-5167-2022, 2022
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Soil carbon storage and food production of fruit orchards will be influenced by climate change. However, they lack representation in models that study such processes. We developed and tested a new sub-model, CLM5-FruitTree, that describes growth, biomass distribution, and management practices in orchards. The model satisfactorily predicted yield and exchange of carbon, energy, and water in an apple orchard and can be used to study land surface processes in fruit orchards at different scales.
Jiaying Zhang, Rafael L. Bras, Marcos Longo, and Tamara Heartsill Scalley
Geosci. Model Dev., 15, 5107–5126, https://doi.org/10.5194/gmd-15-5107-2022, https://doi.org/10.5194/gmd-15-5107-2022, 2022
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We implemented hurricane disturbance in a vegetation dynamics model and calibrated the model with observations of a tropical forest. We used the model to study forest recovery from hurricane disturbance and found that a single hurricane disturbance enhances AGB and BA in the long term compared with a no-hurricane situation. The model developed and results presented in this study can be utilized to understand the impact of hurricane disturbances on forest recovery under the changing climate.
Prabhat Raj Dahal, Maria Lumbierres, Stuart H. M. Butchart, Paul F. Donald, and Carlo Rondinini
Geosci. Model Dev., 15, 5093–5105, https://doi.org/10.5194/gmd-15-5093-2022, https://doi.org/10.5194/gmd-15-5093-2022, 2022
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This paper describes the validation of area of habitat (AOH) maps produced for terrestrial birds and mammals. The main objective was to assess the accuracy of the maps based on independent data. We used open access data from repositories, such as ebird and gbif to check if our maps were a better reflection of species' distribution than random. When points were not available we used logistic models to validate the AOH maps. The majority of AOH maps were found to have a high accuracy.
Yoshiki Kanzaki, Shuang Zhang, Noah J. Planavsky, and Christopher T. Reinhard
Geosci. Model Dev., 15, 4959–4990, https://doi.org/10.5194/gmd-15-4959-2022, https://doi.org/10.5194/gmd-15-4959-2022, 2022
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Increasing carbon dioxide in the atmosphere is an urgent issue in the coming century. Enhanced rock weathering in soils can be one of the most efficient C capture strategies. On the basis as a weathering simulator, the newly developed SCEPTER model implements bio-mixing by fauna/humans and enables organic matter and crushed rocks/minerals at the soil surface with an option to track their particle size distributions. Those features can be useful for evaluating the carbon capture efficiency.
Félicien Meunier, Sruthi M. Krishna Moorthy, Marc Peaucelle, Kim Calders, Louise Terryn, Wim Verbruggen, Chang Liu, Ninni Saarinen, Niall Origo, Joanne Nightingale, Mathias Disney, Yadvinder Malhi, and Hans Verbeeck
Geosci. Model Dev., 15, 4783–4803, https://doi.org/10.5194/gmd-15-4783-2022, https://doi.org/10.5194/gmd-15-4783-2022, 2022
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We integrated state-of-the-art observations of the structure of the vegetation in a temperate forest to constrain a vegetation model that aims to reproduce such an ecosystem in silico. We showed that the use of this information helps to constrain the model structure, its critical parameters, as well as its initial state. This research confirms the critical importance of the representation of the vegetation structure in vegetation models and proposes a method to overcome this challenge.
Joe R. Melton, Ed Chan, Koreen Millard, Matthew Fortier, R. Scott Winton, Javier M. Martín-López, Hinsby Cadillo-Quiroz, Darren Kidd, and Louis V. Verchot
Geosci. Model Dev., 15, 4709–4738, https://doi.org/10.5194/gmd-15-4709-2022, https://doi.org/10.5194/gmd-15-4709-2022, 2022
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Peat-ML is a high-resolution global peatland extent map generated using machine learning techniques. Peatlands are important in the global carbon and water cycles, but their extent is poorly known. We generated Peat-ML using drivers of peatland formation including climate, soil, geomorphology, and vegetation data, and we train the model with regional peatland maps. Our accuracy estimation approaches suggest Peat-ML is of similar or higher quality than other available peatland mapping products.
Qianyu Li, Shawn P. Serbin, Julien Lamour, Kenneth J. Davidson, Kim S. Ely, and Alistair Rogers
Geosci. Model Dev., 15, 4313–4329, https://doi.org/10.5194/gmd-15-4313-2022, https://doi.org/10.5194/gmd-15-4313-2022, 2022
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Stomatal conductance is the rate of water release from leaves’ pores. We implemented an optimal stomatal conductance model in a vegetation model. We then tested and compared it with the existing empirical model in terms of model responses to key environmental variables. We also evaluated the model with measurements at a tropical forest site. Our study suggests that the parameterization of conductance models and current model response to drought are the critical areas for improving models.
Veli Çağlar Yumruktepe, Annette Samuelsen, and Ute Daewel
Geosci. Model Dev., 15, 3901–3921, https://doi.org/10.5194/gmd-15-3901-2022, https://doi.org/10.5194/gmd-15-3901-2022, 2022
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We describe the coupled bio-physical model ECOSMO II(CHL), which is used for regional configurations for the North Atlantic and the Arctic hind-casting and operational purposes. The model is consistent with the large-scale climatological nutrient settings and is capable of representing regional and seasonal changes, and model primary production agrees with previous measurements. For the users of this model, this paper provides the underlying science, model evaluation and its development.
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...
