Articles | Volume 17, issue 21
https://doi.org/10.5194/gmd-17-8023-2024
© Author(s) 2024. 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-17-8023-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
11 Nov 2024
Model description paper |
| 11 Nov 2024
| 11 Nov 2024
Simulating Ips typographus L. outbreak dynamics and their influence on carbon balance estimates with ORCHIDEE r8627
Guillaume Marie
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ UP Saclay, 91191 Orme des Merisiers, Gif-sur-Yvette, France
Faculty of Science, A-LIFE, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
Hervé Jactel
INRAE, University of Bordeaux, UMR Biogeco, 33612 Cestas, France
Gunnar Petter
ETH Zürich, Department of Environmental Systems Science, Forest Ecology, 8092 Zürich, Switzerland
Maxime Cailleret
INRAE, Aix-Marseille Univ, UMR RECOVER, 13182 Aix-en-Provence, France
Matthew J. McGrath
Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ UP Saclay, 91191 Orme des Merisiers, Gif-sur-Yvette, France
Vladislav Bastrikov
Science Partner, Paris, France
Josefine Ghattas
Institut Pierre-Simon Laplace – Sciences du climat (IPSL), 75105 Jussieu, Paris, France
Bertrand Guenet
Laboratoire de Géologie, Ecole Normale Supérieure, CNRS, PSL Research University, IPSL, 75005 Paris, France
Anne Sofie Lansø
Department of Environmental Science, Aarhus Universitet, Frederiksborgvej 399, 4000 Roskilde, Denmark
Kim Naudts
Department of Earth Sciences, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Aude Valade
Eco & Sols, Univ Montpellier, CIRAD, INRAE, 34060 Institut Agro, IRD, Montpellier, France
Chao Yue
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A & F University, Yangling, Shaanxi, Xianyang, China
Faculty of Science, A-LIFE, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, the Netherlands
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Arthur Nicolaus Fendrich, Philippe Ciais, Emanuele Lugato, Marco Carozzi, Bertrand Guenet, Pasquale Borrelli, Victoria Naipal, Matthew McGrath, Philippe Martin, and Panos Panagos
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Plants draw CO2 from the atmosphere during the growing season, while respiration releases CO2 to the atmosphere throughout the year, driving seasonal variations in atmospheric CO2 that can be observed by satellites, such as the Orbiting Carbon Observatory 2 (OCO-2). Using OCO-2 XCO2 data and space-based constraints on plant growth, we show that permafrost-rich northeast Eurasia has a strong seasonal release of CO2 during the autumn, hinting at an unexpectedly large respiration signal from soils.
Haicheng Zhang, Ronny Lauerwald, Pierre Regnier, Philippe Ciais, Kristof Van Oost, Victoria Naipal, Bertrand Guenet, and Wenping Yuan
Earth Syst. Dynam., 13, 1119–1144, https://doi.org/10.5194/esd-13-1119-2022, https://doi.org/10.5194/esd-13-1119-2022, 2022
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We present a land surface model which can simulate the complete lateral transfer of sediment and carbon from land to ocean through rivers. Our model captures the water, sediment, and organic carbon discharges in European rivers well. Application of our model in Europe indicates that lateral carbon transfer can strongly change regional land carbon budgets by affecting organic carbon distribution and soil moisture.
Niel Verbrigghe, Niki I. W. Leblans, Bjarni D. Sigurdsson, Sara Vicca, Chao Fang, Lucia Fuchslueger, Jennifer L. Soong, James T. Weedon, Christopher Poeplau, Cristina Ariza-Carricondo, Michael Bahn, Bertrand Guenet, Per Gundersen, Gunnhildur E. Gunnarsdóttir, Thomas Kätterer, Zhanfeng Liu, Marja Maljanen, Sara Marañón-Jiménez, Kathiravan Meeran, Edda S. Oddsdóttir, Ivika Ostonen, Josep Peñuelas, Andreas Richter, Jordi Sardans, Páll Sigurðsson, Margaret S. Torn, Peter M. Van Bodegom, Erik Verbruggen, Tom W. N. Walker, Håkan Wallander, and Ivan A. Janssens
Biogeosciences, 19, 3381–3393, https://doi.org/10.5194/bg-19-3381-2022, https://doi.org/10.5194/bg-19-3381-2022, 2022
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In subarctic grassland on a geothermal warming gradient, we found large reductions in topsoil carbon stocks, with carbon stocks linearly declining with warming intensity. Most importantly, however, we observed that soil carbon stocks stabilised within 5 years of warming and remained unaffected by warming thereafter, even after > 50 years of warming. Moreover, in contrast to the large topsoil carbon losses, subsoil carbon stocks remained unaffected after > 50 years of soil warming.
Laura Sereni, Bertrand Guenet, Charlotte Blasi, Olivier Crouzet, Jean-Christophe Lata, and Isabelle Lamy
Biogeosciences, 19, 2953–2968, https://doi.org/10.5194/bg-19-2953-2022, https://doi.org/10.5194/bg-19-2953-2022, 2022
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This study focused on the modellisation of two important drivers of soil greenhouse gas emissions: soil contamination and soil moisture change. The aim was to include a Cu function in the soil biogeochemical model DNDC for different soil moisture conditions and then to estimate variation in N2O, NO2 or NOx emissions. Our results show a larger effect of Cu on N2 and N2O emissions than on the other nitrogen species and a higher effect for the soils incubated under constant constant moisture.
Elodie Salmon, Fabrice Jégou, Bertrand Guenet, Line Jourdain, Chunjing Qiu, Vladislav Bastrikov, Christophe Guimbaud, Dan Zhu, Philippe Ciais, Philippe Peylin, Sébastien Gogo, Fatima Laggoun-Défarge, Mika Aurela, M. Syndonia Bret-Harte, Jiquan Chen, Bogdan H. Chojnicki, Housen Chu, Colin W. Edgar, Eugenie S. Euskirchen, Lawrence B. Flanagan, Krzysztof Fortuniak, David Holl, Janina Klatt, Olaf Kolle, Natalia Kowalska, Lars Kutzbach, Annalea Lohila, Lutz Merbold, Włodzimierz Pawlak, Torsten Sachs, and Klaudia Ziemblińska
Geosci. Model Dev., 15, 2813–2838, https://doi.org/10.5194/gmd-15-2813-2022, https://doi.org/10.5194/gmd-15-2813-2022, 2022
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A methane model that features methane production and transport by plants, the ebullition process and diffusion in soil, oxidation to CO2, and CH4 fluxes to the atmosphere has been embedded in the ORCHIDEE-PEAT land surface model, which includes an explicit representation of northern peatlands. This model, ORCHIDEE-PCH4, was calibrated and evaluated on 14 peatland sites. Results show that the model is sensitive to temperature and substrate availability over the top 75 cm of soil depth.
Guillaume Marie, B. Sebastiaan Luyssaert, Cecile Dardel, Thuy Le Toan, Alexandre Bouvet, Stéphane Mermoz, Ludovic Villard, Vladislav Bastrikov, and Philippe Peylin
Geosci. Model Dev., 15, 2599–2617, https://doi.org/10.5194/gmd-15-2599-2022, https://doi.org/10.5194/gmd-15-2599-2022, 2022
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Most Earth system models make use of vegetation maps to initialize a simulation at global scale. Satellite-based biomass map estimates for Africa were used to estimate cover fractions for the 15 land cover classes. This study successfully demonstrates that satellite-based biomass maps can be used to better constrain vegetation maps. Applying this approach at the global scale would increase confidence in assessments of present-day biomass stocks.
Céline Gommet, Ronny Lauerwald, Philippe Ciais, Bertrand Guenet, Haicheng Zhang, and Pierre Regnier
Earth Syst. Dynam., 13, 393–418, https://doi.org/10.5194/esd-13-393-2022, https://doi.org/10.5194/esd-13-393-2022, 2022
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Dissolved organic carbon (DOC) leaching from soils into river networks is an important component of the land carbon (C) budget, but its spatiotemporal variation is not yet fully constrained. We use a land surface model to simulate the present-day land C budget at the European scale, including leaching of DOC from the soil. We found average leaching of 14.3 Tg C yr−1 (0.6 % of terrestrial net primary production) with seasonal variations. We determine runoff and temperature to be the main drivers.
Lucía Caudillo, Birte Rörup, Martin Heinritzi, Guillaume Marie, Mario Simon, Andrea C. Wagner, Tatjana Müller, Manuel Granzin, Antonio Amorim, Farnoush Ataei, Rima Baalbaki, Barbara Bertozzi, Zoé Brasseur, Randall Chiu, Biwu Chu, Lubna Dada, Jonathan Duplissy, Henning Finkenzeller, Loïc Gonzalez Carracedo, Xu-Cheng He, Victoria Hofbauer, Weimeng Kong, Houssni Lamkaddam, Chuan P. Lee, Brandon Lopez, Naser G. A. Mahfouz, Vladimir Makhmutov, Hanna E. Manninen, Ruby Marten, Dario Massabò, Roy L. Mauldin, Bernhard Mentler, Ugo Molteni, Antti Onnela, Joschka Pfeifer, Maxim Philippov, Ana A. Piedehierro, Meredith Schervish, Wiebke Scholz, Benjamin Schulze, Jiali Shen, Dominik Stolzenburg, Yuri Stozhkov, Mihnea Surdu, Christian Tauber, Yee Jun Tham, Ping Tian, António Tomé, Steffen Vogt, Mingyi Wang, Dongyu S. Wang, Stefan K. Weber, André Welti, Wang Yonghong, Wu Yusheng, Marcel Zauner-Wieczorek, Urs Baltensperger, Imad El Haddad, Richard C. Flagan, Armin Hansel, Kristina Höhler, Jasper Kirkby, Markku Kulmala, Katrianne Lehtipalo, Ottmar Möhler, Harald Saathoff, Rainer Volkamer, Paul M. Winkler, Neil M. Donahue, Andreas Kürten, and Joachim Curtius
Atmos. Chem. Phys., 21, 17099–17114, https://doi.org/10.5194/acp-21-17099-2021, https://doi.org/10.5194/acp-21-17099-2021, 2021
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We performed experiments in the CLOUD chamber at CERN at low temperatures to simulate new particle formation in the upper free troposphere (at −30 ºC and −50 ºC). We measured the particle and gas phase and found that most of the compounds present in the gas phase are detected as well in the particle phase. The major compounds in the particles are C8–10 and C18–20. Specifically, we showed that C5 and C15 compounds are detected in a mixed system with isoprene and α-pinene at −30 ºC, 20 % RH.
Jina Jeong, Jonathan Barichivich, Philippe Peylin, Vanessa Haverd, Matthew Joseph McGrath, Nicolas Vuichard, Michael Neil Evans, Flurin Babst, and Sebastiaan Luyssaert
Geosci. Model Dev., 14, 5891–5913, https://doi.org/10.5194/gmd-14-5891-2021, https://doi.org/10.5194/gmd-14-5891-2021, 2021
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We have proposed and evaluated the use of four benchmarks that leverage tree-ring width observations to provide more nuanced verification targets for land-surface models (LSMs), which currently lack a long-term benchmark for forest ecosystem functioning. Using relatively unbiased European biomass network datasets, we identify the extent to which presumed biases in the much larger International Tree-Ring Data Bank might degrade the validation of LSMs.
Peter Hoffmann, Vanessa Reinhart, Diana Rechid, Nathalie de Noblet-Ducoudré, Edouard L. Davin, Christina Asmus, Benjamin Bechtel, Jürgen Böhner, Eleni Katragkou, and Sebastiaan Luyssaert
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-252, https://doi.org/10.5194/essd-2021-252, 2021
Manuscript not accepted for further review
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This paper introduces the new high-resolution land-use land-cover change dataset LUCAS LUC historical and future land use and land cover change dataset (Version 1.0), tailored for use in regional climate models. Historical and projected future land use change information from the Land-Use Harmonization 2 (LUH2) dataset is translated into annual plant functional type changes from 1950 to 2015 and 2016 to 2100, respectively, by employing a newly developed land use translator.
Thomas Janssen, Ype van der Velde, Florian Hofhansl, Sebastiaan Luyssaert, Kim Naudts, Bart Driessen, Katrin Fleischer, and Han Dolman
Biogeosciences, 18, 4445–4472, https://doi.org/10.5194/bg-18-4445-2021, https://doi.org/10.5194/bg-18-4445-2021, 2021
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Satellite images show that the Amazon forest has greened up during past droughts. Measurements of tree stem growth and leaf litterfall upscaled using machine-learning algorithms show that leaf flushing at the onset of a drought results in canopy rejuvenation and green-up during drought while simultaneously trees excessively shed older leaves and tree stem growth declines. Canopy green-up during drought therefore does not necessarily point to enhanced tree growth and improved forest health.
Elisa Bruni, Bertrand Guenet, Yuanyuan Huang, Hugues Clivot, Iñigo Virto, Roberta Farina, Thomas Kätterer, Philippe Ciais, Manuel Martin, and Claire Chenu
Biogeosciences, 18, 3981–4004, https://doi.org/10.5194/bg-18-3981-2021, https://doi.org/10.5194/bg-18-3981-2021, 2021
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Increasing soil organic carbon (SOC) stocks is beneficial for climate change mitigation and food security. One way to enhance SOC stocks is to increase carbon input to the soil. We estimate the amount of carbon input required to reach a 4 % annual increase in SOC stocks in 14 long-term agricultural experiments around Europe. We found that annual carbon input should increase by 43 % under current temperature conditions, by 54 % for a 1 °C warming scenario and by 120 % for a 5 °C warming scenario.
Jonathan Barichivich, Philippe Peylin, Thomas Launois, Valerie Daux, Camille Risi, Jina Jeong, and Sebastiaan Luyssaert
Biogeosciences, 18, 3781–3803, https://doi.org/10.5194/bg-18-3781-2021, https://doi.org/10.5194/bg-18-3781-2021, 2021
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The width and the chemical signals of tree rings have the potential to test and improve the physiological responses simulated by global land surface models, which are at the core of future climate projections. Here, we demonstrate the novel use of tree-ring width and carbon and oxygen stable isotopes to evaluate the representation of tree growth and physiology in a global land surface model at temporal scales beyond experimentation and direct observation.
Wolfgang A. Obermeier, Julia E. M. S. Nabel, Tammas Loughran, Kerstin Hartung, Ana Bastos, Felix Havermann, Peter Anthoni, Almut Arneth, Daniel S. Goll, Sebastian Lienert, Danica Lombardozzi, Sebastiaan Luyssaert, Patrick C. McGuire, Joe R. Melton, Benjamin Poulter, Stephen Sitch, Michael O. Sullivan, Hanqin Tian, Anthony P. Walker, Andrew J. Wiltshire, Soenke Zaehle, and Julia Pongratz
Earth Syst. Dynam., 12, 635–670, https://doi.org/10.5194/esd-12-635-2021, https://doi.org/10.5194/esd-12-635-2021, 2021
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We provide the first spatio-temporally explicit comparison of different model-derived fluxes from land use and land cover changes (fLULCCs) by using the TRENDY v8 dynamic global vegetation models used in the 2019 global carbon budget. We find huge regional fLULCC differences resulting from environmental assumptions, simulated periods, and the timing of land use and land cover changes, and we argue for a method consistent across time and space and for carefully choosing the accounting period.
Zichong Chen, Junjie Liu, Daven K. Henze, Deborah N. Huntzinger, Kelley C. Wells, Stephen Sitch, Pierre Friedlingstein, Emilie Joetzjer, Vladislav Bastrikov, Daniel S. Goll, Vanessa Haverd, Atul K. Jain, Etsushi Kato, Sebastian Lienert, Danica L. Lombardozzi, Patrick C. McGuire, Joe R. Melton, Julia E. M. S. Nabel, Benjamin Poulter, Hanqin Tian, Andrew J. Wiltshire, Sönke Zaehle, and Scot M. Miller
Atmos. Chem. Phys., 21, 6663–6680, https://doi.org/10.5194/acp-21-6663-2021, https://doi.org/10.5194/acp-21-6663-2021, 2021
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NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite observes atmospheric CO2 globally. We use a multiple regression and inverse model to quantify the relationships between OCO-2 and environmental drivers within individual years for 2015–2018 and within seven global biomes. Our results point to limitations of current space-based observations for inferring environmental relationships but also indicate the potential to inform key relationships that are very uncertain in process-based models.
Hiroki Mizuochi, Agnès Ducharne, Frédérique Cheruy, Josefine Ghattas, Amen Al-Yaari, Jean-Pierre Wigneron, Vladislav Bastrikov, Philippe Peylin, Fabienne Maignan, and Nicolas Vuichard
Hydrol. Earth Syst. Sci., 25, 2199–2221, https://doi.org/10.5194/hess-25-2199-2021, https://doi.org/10.5194/hess-25-2199-2021, 2021
Yan Sun, Daniel S. Goll, Jinfeng Chang, Philippe Ciais, Betrand Guenet, Julian Helfenstein, Yuanyuan Huang, Ronny Lauerwald, Fabienne Maignan, Victoria Naipal, Yilong Wang, Hui Yang, and Haicheng Zhang
Geosci. Model Dev., 14, 1987–2010, https://doi.org/10.5194/gmd-14-1987-2021, https://doi.org/10.5194/gmd-14-1987-2021, 2021
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We evaluated the performance of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 against remote sensing, ground-based measurement networks and ecological databases. The simulated carbon, nitrogen and phosphorus fluxes among different spatial scales are generally in good agreement with data-driven estimates. However, the recent carbon sink in the Northern Hemisphere is substantially underestimated. Potential causes and model development priorities are discussed.
Cited articles
Abramowitz, G., Leuning, R., Clark, M., and Pitman, A.: Evaluating the Performance of Land Surface Models, J. Climate, 21, 5468–5481, https://doi.org/10.1175/2008JCLI2378.1, 2008.
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, art129, https://doi.org/10.1890/ES15-00203.1, 2015.
Andrus, R. A., Hart, S. J., and Veblen, T. T.: Forest recovery following synchronous outbreaks of spruce and western balsam bark beetle is slowed by ungulate browsing, Ecology, 101, e02998, https://doi.org/10.1002/ecy.2998, 2020.
Angers, V. A., Drapeau, P., and Bergeron, Y.: Mineralization rates and factors influencing snag decay in four North American boreal tree species, Can. J. For. Res., 42, 157–166, https://doi.org/10.1139/x11-167, 2012.
Arthur, G., Jonathan, L., Juliette, C., Latte, N., Piedallu, C., and Claessens, H.: Spatial and remote sensing monitoring shows the end of the bark beetle outbreak on Belgian and north-eastern France Norway spruce (Picea abies) stands, Environ. Monit. Assess., 196, 226, https://doi.org/10.1007/s10661-024-12372-0, 2024.
Bakke, A.: The recent Ips typographus outbreak in Norway – experiences from a control program, Ecography, 12, 515–519, https://doi.org/10.1111/j.1600-0587.1989.tb00930.x, 1989.
Ballard, R. G., Walsh, M. A., and Cole, W. E.: Blue-stain fungi in xylem of lodgepole pine: a light-microscope study on extent of hyphal distribution, Can. J. Bot., 60, 2334–2341, https://doi.org/10.1139/b82-285, 1982.
Bentz, B. J., Régnière, J., Fettig, C. J., Hansen, E. M., Hayes, J. L., Hicke, J. A., Kelsey, R. G., Negrón, J. F., and Seybold, S. J.: Climate Change and Bark Beetles of the Western United States and Canada: Direct and Indirect Effects, BioScience, 60, 602–613, https://doi.org/10.1525/bio.2010.60.8.6, 2010.
Berner, L. T., Law, B. E., Meddens, A. J. H., and Hicke, J. A.: Tree mortality from fires, bark beetles, and timber harvest during a hot and dry decade in the western United States (2003–2012), Environ. Res. Lett., 12, 065005, https://doi.org/10.1088/1748-9326/aa6f94, 2017.
Berryman, A. A.: Population Cycles: The Case for Trophic Interactions, Oxford University Press, 207 pp., 2002.
Biedermann, P. H. W., Müller, J., Grégoire, J.-C., Gruppe, A., Hagge, J., Hammerbacher, A., Hofstetter, R. W., Kandasamy, D., Kolarik, M., Kostovcik, M., Krokene, P., Sallé, A., Six, D. L., Turrini, T., Vanderpool, D., Wingfield, M. J., and Bässler, C.: Bark Beetle Population Dynamics in the Anthropocene: Challenges and Solutions, Trends Ecol. Evol., 34, 914–924, https://doi.org/10.1016/j.tree.2019.06.002, 2019.
Boucher, O., Servonnat, J., Albright, A. L., Aumont, O., Balkanski, Y., Bastrikov, V., Bekki, S., Bonnet, R., Bony, S., Bopp, L., Braconnot, P., Brockmann, P., Cadule, P., Caubel, A., Cheruy, F., Codron, F., Cozic, A., Cugnet, D., D'Andrea, F., Davini, P., Lavergne, C. de, Denvil, S., Deshayes, J., Devilliers, M., Ducharne, A., Dufresne, J.-L., Dupont, E., Éthé, C., Fairhead, L., Falletti, L., Flavoni, S., Foujols, M.-A., Gardoll, S., Gastineau, G., Ghattas, J., Grandpeix, J.-Y., Guenet, B., Guez, L., E., Guilyardi, E., Guimberteau, M., Hauglustaine, D., Hourdin, F., Idelkadi, A., Joussaume, S., Kageyama, M., Khodri, M., Krinner, G., Lebas, N., Levavasseur, G., Lévy, C., Li, L., Lott, F., Lurton, T., Luyssaert, S., Madec, G., Madeleine, J.-B., Maignan, F., Marchand, M., Marti, O., Mellul, L., Meurdesoif, Y., Mignot, J., Musat, I., Ottlé, C., Peylin, P., Planton, Y., Polcher, J., Rio, C., Rochetin, N., Rousset, C., Sepulchre, P., Sima, A., Swingedouw, D., Thiéblemont, R., Traore, A. K., Vancoppenolle, M., Vial, J., Vialard, J., Viovy, N., and Vuichard, N.: Presentation and Evaluation of the IPSL-CM6A-LR Climate Model, J. Adv. Model. Earth Sy., 12, e2019MS002010, https://doi.org/10.1029/2019MS002010, 2020.
Bugmann, H. K. M.: A Simplified Forest Model to Study Species Composition Along Climate Gradients, Ecology, 77, 2055–2074, https://doi.org/10.2307/2265700, 1996.
Buma, B.: Disturbance interactions: characterization, prediction, and the potential for cascading effects, Ecosphere, 6, art70, https://doi.org/10.1890/ES15-00058.1, 2015.
Chapin, F. S., Woodwell, G. M., Randerson, J. T., Rastetter, E. B., Lovett, G. M., Baldocchi, D. D., Clark, D. A., Harmon, M. E., Schimel, D. S., Valentini, R., Wirth, C., Aber, J. D., Cole, J. J., Goulden, M. L., Harden, J. W., Heimann, M., Howarth, R. W., Matson, P. A., McGuire, A. D., Melillo, J. M., Mooney, H. A., Neff, J. C., Houghton, R. A., Pace, M. L., Ryan, M. G., Running, S. W., Sala, O. E., Schlesinger, W. H., and Schulze, E.-D.: Reconciling Carbon-cycle Concepts, Terminology, and Methods. Ecosystems 9, 1041–1050, https://doi.org/10.1007/s10021-005-0105-7, 2006.
Chen, Y., Ryder, J., Bastrikov, V., McGrath, M. J., Naudts, K., Otto, J., Ottlé, C., Peylin, P., Polcher, J., Valade, A., Black, A., Elbers, J. A., Moors, E., Foken, T., van Gorsel, E., Haverd, V., Heinesch, B., Tiedemann, F., Knohl, A., Launiainen, S., Loustau, D., Ogée, J., Vessala, T., and Luyssaert, S.: Evaluating the performance of land surface model ORCHIDEE-CAN v1.0 on water and energy flux estimation with a single- and multi-layer energy budget scheme, Geosci. Model Dev., 9, 2951–2972, https://doi.org/10.5194/gmd-9-2951-2016, 2016.
Chen, Y.-Y., Gardiner, B., Pasztor, F., Blennow, K., Ryder, J., Valade, A., Naudts, K., Otto, J., McGrath, M. J., Planque, C., and Luyssaert, S.: Simulating damage for wind storms in the land surface model ORCHIDEE-CAN (revision 4262), Geosci. Model Dev., 11, 771–791, https://doi.org/10.5194/gmd-11-771-2018, 2018.
Ciais, P., Reichstein, M., Viovy, N., Granier, A., Ogée, J., Allard, V., Aubinet, M., Buchmann, N., Bernhofer, C., Carrara, A., Chevallier, F., De Noblet, N., Friend, A. D., Friedlingstein, P., Grünwald, T., Heinesch, B., Keronen, P., Knohl, A., Krinner, G., Loustau, D., Manca, G., Matteucci, G., Miglietta, F., Ourcival, J. M., Papale, D., Pilegaard, K., Rambal, S., Seufert, G., Soussana, J. F., Sanz, M. J., Schulze, E. D., Vesala, T., and Valentini, R.: Europe-wide reduction in primary productivity caused by the heat and drought in 2003, Nature, 437, 529–533, https://doi.org/10.1038/nature03972, 2005.
Copernicus: European State of the Climate, https://climate.copernicus.eu/ESOTC, last access: 25 March 2024.
Cox, P. M., Betts, R. A., Jones, C. D., Spall, S. A., and Totterdell, I. J.: Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model, Nature, 408, 184–187, https://doi.org/10.1038/35041539, 2000.
Custer, G. F., van Diepen, L. T. A., and Stump, W. L.: Structural and Functional Dynamics of Soil Microbes following Spruce Beetle Infestation, Appl. Environ. Microbiol., 86, e01984-19, https://doi.org/10.1128/AEM.01984-19, 2020.
Das, A. J., Stephenson, N. L., and Davis, K. P.: Why do trees die? Characterizing the drivers of background tree mortality, Ecology, 97, 2616–2627, https://doi.org/10.1002/ecy.1497, 2016.
Deleuze, C., Pain, O., Dhôte, J.-F., and Hervé, J.-C.: A flexible radial increment model for individual trees in pure even-aged stands, Ann. For. Sci., 61, 327–335, https://doi.org/10.1051/forest:2004026, 2004.
Edburg, S. L., Hicke, J. A., Brooks, P. D., Pendall, E. G., Ewers, B. E., Norton, U., Gochis, D., Gutmann, E. D., and Meddens, A. J.: Cascading impacts of bark beetle-caused tree mortality on coupled biogeophysical and biogeochemical processes, Front. Ecol. Environ., 10, 416–424, https://doi.org/10.1890/110173, 2012.
Faccoli, M. and Stergulc, F.: A practical method for predicting the short-time trend of bivoltine populations of Ips typographus (L.) (Col., Scolytidae), J. Appl. Entomol., 130, 61–66, https://doi.org/10.1111/j.1439-0418.2005.01019.x, 2006.
Friedlingstein, P., Cox, P., Betts, R., Bopp, L., Bloh, W. von, Brovkin, V., Cadule, P., Doney, S., Eby, M., Fung, I., Bala, G., John, J., Jones, C., Joos, F., Kato, T., Kawamiya, M., Knorr, W., Lindsay, K., Matthews, H. D., Raddatz, T., Rayner, P., Reick, C., Roeckner, E., Schnitzler, K.-G., Schnur, R., Strassmann, K., Weaver, A. J., Yoshikawa, C., and Zeng, N.: Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison, J. Climate, 19, 3337–3353, https://doi.org/10.1175/JCLI3800.1, 2006.
Grimm, V. and Wissel, C.: Babel, or the ecological stability discussions: an inventory and analysis of terminology and a guide for avoiding confusion, Oecologia, 109, 323–334, https://doi.org/10.1007/s004420050090, 1997.
Havašová, M., Ferenčík, J., and Jakuš, R.: Interactions between windthrow, bark beetles and forest management in the Tatra national parks, For. Ecol. Manag., 391, 349–361, https://doi.org/10.1016/j.foreco.2017.01.009, 2017.
Haverd, V., Lovell, J. L., Cuntz, M., Jupp, D. L. B., Newnham, G. J., and Sea, W.: The Canopy Semi-analytic Pgap And Radiative Transfer (CanSPART) model: Formulation and application, Agric. For. Meteorol., 160, 14–35, https://doi.org/10.1016/j.agrformet.2012.01.018, 2012.
Hicke, J. A., Allen, C. D., Desai, A. R., Dietze, M. C., Hall, R. J., Hogg, E. H., Kashian, D. M., Moore, D., Raffa, K. F., Sturrock, R. N., and Vogelmann, J.: Effects of biotic disturbances on forest carbon cycling in the United States and Canada, Glob. Change Biol., 18, 7–34, https://doi.org/10.1111/j.1365-2486.2011.02543.x, 2012.
Hlásny, T., König, L., Krokene, P., Lindner, M., Montagné-Huck, C., Müller, J., Qin, H., Raffa, K. F., Schelhaas, M.-J., Svoboda, M., Viiri, H., and Seidl, R.: Bark Beetle Outbreaks in Europe: State of Knowledge and Ways Forward for Management, Curr. For. Rep., 7, 138–165, https://doi.org/10.1007/s40725-021-00142-x, 2021a.
Hlásny, T., Zimová, S., Merganičová, K., Štěpánek, P., Modlinger, R., and Turčáni, M.: Devastating outbreak of bark beetles in the Czech Republic: Drivers, impacts, and management implications, For. Ecol. Manag., 490, 119075, https://doi.org/10.1016/j.foreco.2021.119075, 2021b.
Huang, J., Kautz, M., Trowbridge, A. M., Hammerbacher, A., Raffa, K. F., Adams, H. D., Goodsman, D. W., Xu, C., Meddens, A. J. H., Kandasamy, D., Gershenzon, J., Seidl, R., and Hartmann, H.: Tree defence and bark beetles in a drying world: carbon partitioning, functioning and modelling, New Phytol., 225, 26–36, https://doi.org/10.1111/nph.16173, 2020.
IPSL Data Catalog: ORCHIDEE_Bark_beetles_outbreak_gmd_2024, IPSL Data Catalog [code], https://doi.org/10.14768/08ca9318-b663-40e3-90e6-6baee0475ba0, 2024.
Jonášová, M. and Prach, K.: Central-European mountain spruce (Picea abies (L.) Karst.) forests: regeneration of tree species after a bark beetle outbreak, Ecol. Eng., 23, 15–27, 2004. https://doi.org/10.1016/j.ecoleng.2004.06.010
Jönsson, A. M., Appelberg, G., Harding, S., and Bärring, L.: Spatio-temporal impact of climate change on the activity and voltinism of the spruce bark beetle, Ips typographus, Glob. Change Biol., 15, 486–499, https://doi.org/10.1111/j.1365-2486.2008.01742.x, 2009.
Jönsson, A. M., Harding, S., Krokene, P., Lange, H., Lindelöw, Å., Økland, B., Ravn, H. P., and Schroeder, L. M.: Modelling the potential impact of global warming on Ips typographus voltinism and reproductive diapause, Clim. Change, 109, 695–718, https://doi.org/10.1007/s10584-011-0038-4, 2011.
Jönsson, A. M., Schroeder, L. M., Lagergren, F., Anderbrant, O., and Smith, B.: Guess the impact of Ips typographus – An ecosystem modelling approach for simulating spruce bark beetle outbreaks, Agric. For. Meteorol., 166–167, 188–200, https://doi.org/10.1016/j.agrformet.2012.07.012, 2012.
Kärvemo, S. and Schroeder, L. M.: A comparison of outbreak dynamics of the spruce bark beetle in Sweden and the mountain pine beetle in Canada (Curculionidae: Scolytinae) [En jämförelse av utbrottsdynamiken mellan granbarkborre i Sverige och contortabast-borre i Kanada (Curculionidae: Scolytinae)], Entomologisk Tidskrift, 131, 215–224, 2010.
Kautz, M., Anthoni, P., Meddens, A. J. H., Pugh, T. A. M., and Arneth, A.: Simulating the recent impacts of multiple biotic disturbances on forest carbon cycling across the United States, Glob. Change Biol., 24, 2079–2092, https://doi.org/10.1111/gcb.13974, 2018.
Komonen, A., Schroeder, L. M., and Weslien, J.: Ips typographus population development after a severe storm in a nature reserve in southern Sweden, J. Appl. Entomol., 135, 132–141, https://doi.org/10.1111/j.1439-0418.2010.01520.x, 2011.
Krinner, G., Viovy, N., de Noblet-Ducoudré, N., Ogée, J., Polcher, J., Friedlingstein, P., Ciais, P., Sitch, S., and Prentice, I. C.: A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system: DVGM FOR COUPLED CLIMATE STUDIES, Global Biogeochem. Cy., 19, GB1015, https://doi.org/10.1029/2003GB002199, 2005.
Kurz, W. A., Dymond, C. C., Stinson, G., Rampley, G. J., Neilson, E. T., Carroll, A. L., Ebata, T., and Safranyik, L.: Mountain pine beetle and forest carbon feedback to climate change, Nature, 452, 987–990, https://doi.org/10.1038/nature06777, 2008a.
Kurz, W. A., Stinson, G., Rampley, G. J., Dymond, C. C., and Neilson, E. T.: Risk of natural disturbances makes future contribution of Canada's forests to the global carbon cycle highly uncertain, P. Natl. Acad. Sci. USA, 105, 1551–1555, https://doi.org/10.1073/pnas.0708133105, 2008b.
Lasslop, G., Thonicke, K., and Kloster, S.: SPITFIRE within the MPI Earth system model: Model development and evaluation, J. Adv. Model. Earth Sy., 6, 740–755, https://doi.org/10.1002/2013MS000284, 2014.
Lausch, A., Fahse, L., and Heurich, M.: Factors affecting the spatio-temporal dispersion of Ips typographus (L.) in Bavarian Forest National Park: A long-term quantitative landscape-level analysis, For. Ecol. Manag., 261, 233–245, https://doi.org/10.1016/j.foreco.2010.10.012, 2011.
Levins, R.: The Strategy of Model Building in Population Biology, Am. Sci., 54, 421–431, 1966.
Lieutier, F.: Mechanisms of Resistance in Conifers and Bark beetle Attack Strategies, in: Mechanisms and Deployment of Resistance in Trees to Insects, edited by: Wagner, M. R., Clancy, K. M., Lieutier, F., and Paine, T. D., Springer Netherlands, Dordrecht, 31–77, https://doi.org/10.1007/0-306-47596-0_2, 2002.
Lombardero, M. J., Ayres, M. P., Ayres, B. D., and Reeve, J. D.: Cold Tolerance of Four Species of Bark Beetle (Coleoptera: Scolytidae) in North America, Environ. Entomol., 29, 421–432, https://doi.org/10.1603/0046-225X-29.3.421, 2000.
Luyssaert, S., Marie, G., Valade, A., Chen, Y.-Y., Njakou Djomo, S., Ryder, J., Otto, J., Naudts, K., Lansø, A. S., Ghattas, J., and McGrath, M. J.: Trade-offs in using European forests to meet climate objectives, Nature, 562, 259–262, https://doi.org/10.1038/s41586-018-0577-1, 2018.
Marie, G.: Bark Beetle outbreak module dev into ORCHIDEE – simulation results and quantitative evaluation, Zenodo [code and data set], https://doi.org/10.5281/zenodo.12806280, 2024.
Marini, L., Økland, B., Jönsson, A. M., Bentz, B., Carroll, A., Forster, B., Grégoire, J.-C., Hurling, R., Nageleisen, L. M., Netherer, S., Ravn, H. P., Weed, A., and Schroeder, M.: Climate drivers of bark beetle outbreak dynamics in Norway spruce forests, Ecography, 40, 1426–1435, https://doi.org/10.1111/ecog.02769, 2017.
Mezei, P., Grodzki, W., Blaženec, M., and Jakuš, R.: Factors influencing the wind–bark beetles' disturbance system in the course of an Ips typographus outbreak in the Tatra Mountains, For. Ecol. Manag., 312, 67–77, https://doi.org/10.1016/j.foreco.2013.10.020, 2014.
Mezei, P., Jakuš, R., Pennerstorfer, J., Havašová, M., Škvarenina, J., Ferenčík, J., Slivinský, J., Bičárová, S., Bilčík, D., Blaženec, M., and Netherer, S.: Storms, temperature maxima and the Eurasian spruce bark beetle Ips typographus – An infernal trio in Norway spruce forests of the Central European High Tatra Mountains, Agric. For. Meteorol., 242, 85–95, https://doi.org/10.1016/j.agrformet.2017.04.004, 2017.
Migliavacca, M., Dosio, A., Kloster, S., Ward, D. S., Camia, A., Houborg, R., Houston Durrant, T., Khabarov, N., Krasovskii, A. A., San Miguel-Ayanz, J., and Cescatti, A.: Modeling burned area in Europe with the Community Land Model, J. Geophys. Res.-Biogeo., 118, 265–279, https://doi.org/10.1002/jgrg.20026, 2013.
Migliavacca, M., Musavi, T., Mahecha, M. D., Nelson, J. A., Knauer, J., Baldocchi, D. D., Perez-Priego, O., Christiansen, R., Peters, J., Anderson, K., Bahn, M., Black, T. A., Blanken, P. D., Bonal, D., Buchmann, N., Caldararu, S., Carrara, A., Carvalhais, N., Cescatti, A., Chen, J., Cleverly, J., Cremonese, E., Desai, A. R., El-Madany, T. S., Farella, M. M., Fernández-Martínez, M., Filippa, G., Forkel, M., Galvagno, M., Gomarasca, U., Gough, C. M., Göckede, M., Ibrom, A., Ikawa, H., Janssens, I. A., Jung, M., Kattge, J., Keenan, T. F., Knohl, A., Kobayashi, H., Kraemer, G., Law, B. E., Liddell, M. J., Ma, X., Mammarella, I., Martini, D., Macfarlane, C., Matteucci, G., Montagnani, L., Pabon-Moreno, D. E., Panigada, C., Papale, D., Pendall, E., Penuelas, J., Phillips, R. P., Reich, P. B., Rossini, M., Rotenberg, E., Scott, R. L., Stahl, C., Weber, U., Wohlfahrt, G., Wolf, S., Wright, I. J., Yakir, D., Zaehle, S., and Reichstein, M.: The three major axes of terrestrial ecosystem function, Nature, 598, 468–472, https://doi.org/10.1038/s41586-021-03939-9, 2021.
Millar, C. I. and Stephenson, N. L.: Temperate forest health in an era of emerging megadisturbance, Science, 349, 823–826, https://doi.org/10.1126/science.aaa9933, 2015.
Morehouse, K., Johns, T., Kaye, J., and Kaye, M.: Carbon and nitrogen cycling immediately following bark beetle outbreaks in southwestern ponderosa pine forests, For. Ecol. Manag., 255, 2698–2708, https://doi.org/10.1016/j.foreco.2008.01.050, 2008.
Nardi, D., Jactel, H., Pagot, E., Samalens, J.-C., and Marini, L.: Drought and stand susceptibility to attacks by the European spruce bark beetle: A remote sensing approach, Agric. For. Entomol., 25, 119–129, https://doi.org/10.1111/afe.12536, 2023.
Naudts, K., Ryder, J., McGrath, M. J., Otto, J., Chen, Y., Valade, A., Bellasen, V., Berhongaray, G., Bönisch, G., Campioli, M., Ghattas, J., De Groote, T., Haverd, V., Kattge, J., MacBean, N., Maignan, F., Merilä, P., Penuelas, J., Peylin, P., Pinty, B., Pretzsch, H., Schulze, E. D., Solyga, D., Vuichard, N., Yan, Y., and Luyssaert, S.: A vertically discretised canopy description for ORCHIDEE (SVN r2290) and the modifications to the energy, water and carbon fluxes, Geosci. Model Dev., 8, 2035–2065, https://doi.org/10.5194/gmd-8-2035-2015, 2015.
Naudts, K., Chen, Y., McGrath, M. J., Ryder, J., Valade, A., Otto, J., and Luyssaert, S.: Europe's forest management did not mitigate climate warming, Science, 351, 597–600, https://doi.org/10.1126/science.aad7270, 2016.
Netherer, S., Matthews, B., Katzensteiner, K., Blackwell, E., Henschke, P., Hietz, P., Pennerstorfer, J., Rosner, S., Kikuta, S., Schume, H., and Schopf, A.: Do water-limiting conditions predispose Norway spruce to bark beetle attack?, New Phytol., 205, 1128–1141, https://doi.org/10.1111/nph.13166, 2015.
Ogris, N., Ferlan, M., Hauptman, T., Pavlin, R., Kavčič, A., Jurc, M., and de Groot, M.: RITY – A phenology model of Ips typographus as a tool for optimization of its monitoring, Ecol. Model., 410, 108775, https://doi.org/10.1016/j.ecolmodel.2019.108775, 2019.
Pastorello, G., Trotta, C., Canfora, E., Chu, H., Christianson, D., Cheah, Y.-W., Poindexter, C., Chen, J., Elbashandy, A., Humphrey, M., Isaac, P., Polidori, D., Reichstein, M., Ribeca, A., van Ingen, C., Vuichard, N., Zhang, L., Amiro, B., Ammann, C., Arain, M. A., Ardö, J., Arkebauer, T., Arndt, S. K., Arriga, N., Aubinet, M., Aurela, M., Baldocchi, D., Barr, A., Beamesderfer, E., Marchesini, L. B., Bergeron, O., Beringer, J., Bernhofer, C., Berveiller, D., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G., Boike, J., Bolstad, P. V., Bonal, D., Bonnefond, J.-M., Bowling, D. R., Bracho, R., Brodeur, J., Brümmer, C., Buchmann, N., Burban, B., Burns, S. P., Buysse, P., Cale, P., Cavagna, M., Cellier, P., Chen, S., Chini, I., Christensen, T. R., Cleverly, J., Collalti, A., Consalvo, C., Cook, B. D., Cook, D., Coursolle, C., Cremonese, E., Curtis, P. S., D'Andrea, E., da Rocha, H., Dai, X., Davis, K. J., Cinti, B. D., Grandcourt, A. de, Ligne, A. D., De Oliveira, R. C., Delpierre, N., Desai, A. R., Di Bella, C. M., Tommasi, P. di, Dolman, H., Domingo, F., Dong, G., Dore, S., Duce, P., Dufrêne, E., Dunn, A., Dušek, J., Eamus, D., Eichelmann, U., ElKhidir, H. A. M., Eugster, W., Ewenz, C. M., Ewers, B., Famulari, D., Fares, S., Feigenwinter, I., Feitz, A., Fensholt, R., Filippa, G., Fischer, M., Frank, J., Galvagno, M., et al.: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, Sci. Data, 7, 225, https://doi.org/10.1038/s41597-020-0534-3, 2020.
Pasztor, F., Matulla, C., Rammer, W., and Lexer, M. J.: Drivers of the bark beetle disturbance regime in Alpine forests in Austria, For. Ecol. Manag., 318, 349–358, https://doi.org/10.1016/j.foreco.2014.01.044, 2014.
Pfeifer, E. M., Hicke, J. A., and Meddens, A. J. H.: Observations and modeling of aboveground tree carbon stocks and fluxes following a bark beetle outbreak in the western United States, Glob. Change Biol., 17, 339–350, https://doi.org/10.1111/j.1365-2486.2010.02226.x, 2011.
Pineau, X., David, G., Peter, Z., Sallé, A., Baude, M., Lieutier, F., and Jactel, H.: Effect of temperature on the reproductive success, developmental rate and brood characteristics of Ips sexdentatus (Boern.), Agric. For. Entomol., 19, 23–33, https://doi.org/10.1111/afe.12177, 2017.
Preisler, H. K., Hicke, J. A., Ager, A. A., and Hayes, J. L.: Climate and weather influences on spatial temporal patterns of mountain pine beetle populations in Washington and Oregon, Ecology, 93, 2421–2434, https://doi.org/10.1890/11-1412.1, 2012.
Pugh, T. A. M., Jones, C. D., Huntingford, C., Burton, C., Arneth, A., Brovkin, V., Ciais, P., Lomas, M., Robertson, E., and Piao, S. L.: A Large Committed Long-Term Sink of Carbon due to Vegetation Dynamics, Earths Future, 6, 1413–1432, 2017.
Quillet, A., Peng, C., and Garneau, M.: Toward dynamic global vegetation models for simulating vegetation–climate interactions and feedbacks: recent developments, limitations, and future challenges, Environ. Rev., 18, 333–353, https://doi.org/10.1139/A10-016, 2010.
Raffa, K. F., Aukema, B. H., Bentz, B. J., Carroll, A. L., Hicke, J. A., Turner, M. G., and Romme, W. H.: Cross-scale Drivers of Natural Disturbances Prone to Anthropogenic Amplification: The Dynamics of Bark Beetle Eruptions, BioScience, 58, 501–517, https://doi.org/10.1641/B580607, 2008.
Rhoades, C. C.: Soil Nitrogen Leaching in Logged Beetle-Killed Forests and Implications for Riparian Fuel Reduction, J. Environ. Qual., 48, 305–313, https://doi.org/10.2134/jeq2018.04.0169, 2019.
Ryder, J., Polcher, J., Peylin, P., Ottlé, C., Chen, Y., van Gorsel, E., Haverd, V., McGrath, M. J., Naudts, K., Otto, J., Valade, A., and Luyssaert, S.: A multi-layer land surface energy budget model for implicit coupling with global atmospheric simulations, Geosci. Model Dev., 9, 223–245, https://doi.org/10.5194/gmd-9-223-2016, 2016.
Schlyter, F., Birgersson, G., and Leufvén, A.: Inhibition of attraction to aggregation pheromone by verbenone and ipsenol, J. Chem. Ecol., 15, 2263–2277, https://doi.org/10.1007/BF01014114, 1989.
Schumacher, S.: The role of large-scale disturbances and climate for the dynamics of forested landscapes in the European Alps, Doctoral Thesis, ETH Zurich, https://doi.org/10.3929/ethz-a-004818825, 2004.
Seidl, R. and Rammer, W.: Climate change amplifies the interactions between wind and bark beetle disturbances in forest landscapes, Landsc. Ecol., 32, 1485–1498, https://doi.org/10.1007/s10980-016-0396-4, 2016.
Seidl, R., Fernandes, P. M., Fonseca, T. F., Gillet, F., Jönsson, A. M., Merganičová, K., Netherer, S., Arpaci, A., Bontemps, J.-D., Bugmann, H., González-Olabarria, J. R., Lasch, P., Meredieu, C., Moreira, F., Schelhaas, M.-J., and Mohren, F.: Modelling natural disturbances in forest ecosystems: a review, Ecol. Model., 222, 903–924, https://doi.org/10.1016/j.ecolmodel.2010.09.040, 2011.
Seidl, R., Schelhaas, M.-J., Rammer, W., and Verkerk, P. J.: Increasing forest disturbances in Europe and their impact on carbon storage, Nat. Clim. Change, 4, 806–810, https://doi.org/10.1038/nclimate2318, 2014.
Seidl, R., Thom, D., Kautz, M., Martin-Benito, D., Peltoniemi, M., Vacchiano, G., Wild, J., Ascoli, D., Petr, M., Honkaniemi, J., Lexer, M. J., Trotsiuk, V., Mairota, P., Svoboda, M., Fabrika, M., Nagel, T. A., and Reyer, C. P. O.: Forest disturbances under climate change, Nat. Clim. Change, 7, 395–402, https://doi.org/10.1038/nclimate3303, 2017.
Seidl, R., Klonner, G., Rammer, W., Essl, F., Moreno, A., Neumann, M., and Dullinger, S.: Invasive alien pests threaten the carbon stored in Europe's forests, Nat. Commun., 9, 1626, https://doi.org/10.1038/s41467-018-04096-w, 2018.
Senf, C., Pflugmacher, D., Hostert, P., and Seidl, R.: Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe, ISPRS J. Photogramm. Remote Sens., 130, 453–463, https://doi.org/10.1016/j.isprsjprs.2017.07.004, 2017.
Storaunet, K. O., Rolstad, J., Gjerde, I., and Gundersen, V. S.:Historical logging, productivity, and structural characteristics of boreal coniferous forests in Norway. Silva Fenn., 39, 429–442, 2005.
Temperli, C., Bugmann, H., and Elkin, C.: Cross-scale interactions among bark beetles, climate change, and wind disturbances: a landscape modeling approach, Ecol. Monogr., 83, 383–402, https://doi.org/10.1890/12-1503.1, 2013.
Thurner, M., Beer, C., Ciais, P., Friend, A. D., Ito, A., Kleidon, A., Lomas, M. R., Quegan, S., Rademacher, T. T., Schaphoff, S., Tum, M., Wiltshire, A., and Carvalhais, N.: Evaluation of climate-related carbon turnover processes in global vegetation models for boreal and temperate forests, Glob. Change Biol., 23, 3076–3091, https://doi.org/10.1111/gcb.13660, 2017.
Van Meerbeek, K., Jucker, T., and Svenning, J.-C.: Unifying the concepts of stability and resilience in ecology, J. Ecol., 109, 3114–3132, https://doi.org/10.1111/1365-2745.13651, 2021.
Vuichard, N., Messina, P., Luyssaert, S., Guenet, B., Zaehle, S., Ghattas, J., Bastrikov, V., and Peylin, P.: Accounting for carbon and nitrogen interactions in the global terrestrial ecosystem model ORCHIDEE (trunk version, rev 4999): multi-scale evaluation of gross primary production, Geosci. Model Dev., 12, 4751–4779, https://doi.org/10.5194/gmd-12-4751-2019, 2019.
Wermelinger, B.: Ecology and management of the spruce bark beetle Ips typographus – a review of recent research, For. Ecol. Manag., 202, 67–82, https://doi.org/10.1016/j.foreco.2004.07.018, 2004.
Wichmann, L. and Ravn, H. P.: The spread of Ips typographus (L.) (Coleoptera, Scolytidae) attacks following heavy windthrow in Denmark, analysed using GIS, For. Ecol. Manag., 148, 31–39, https://doi.org/10.1016/S0378-1127(00)00477-1, 2001.
Yao, Y., Joetzjer, E., Ciais, P., Viovy, N., Cresto Aleina, F., Chave, J., Sack, L., Bartlett, M., Meir, P., Fisher, R., and Luyssaert, S.: Forest fluxes and mortality response to drought: model description (ORCHIDEE-CAN-NHA r7236) and evaluation at the Caxiuanã drought experiment, Geosci. Model Dev., 15, 7809–7833, https://doi.org/10.5194/gmd-15-7809-2022, 2022.
Yue, C., Ciais, P., Cadule, P., Thonicke, K., Archibald, S., Poulter, B., Hao, W. M., Hantson, S., Mouillot, F., Friedlingstein, P., Maignan, F., and Viovy, N.: Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: simulating historical global burned area and fire regimes, Geosci. Model Dev., 7, 2747–2767, https://doi.org/10.5194/gmd-7-2747-2014, 2014.
Zaehle, S. and Dalmonech, D.: Carbon–nitrogen interactions on land at global scales: current understanding in modelling climate biosphere feedbacks, Curr. Opin. Environ. Sustain., 3, 311–320, https://doi.org/10.1016/j.cosust.2011.08.008, 2011.
Zaehle, S. and Friend, A. D.: Carbon and nitrogen cycle dynamics in the O-CN land surface model: 1. Model description, site-scale evaluation, and sensitivity to parameter estimates, Global Biogeochem. Cy., 24, GB1005, https://doi.org/10.1029/2009GB003521, 2010.
Zhang, Q.-H. and Schlyter, F.: Olfactory recognition and behavioural avoidance of angiosperm nonhost volatiles by conifer-inhabiting bark beetles, Agric. For. Entomol., 6, 1–20, https://doi.org/10.1111/j.1461-9555.2004.00202.x, 2004.
Zscheischler, J., Westra, S., van den Hurk, B. J. J. M., Seneviratne, S. I., Ward, P. J., Pitman, A., AghaKouchak, A., Bresch, D. N., Leonard, M., Wahl, T., and Zhang, X.: Future climate risk from compound events, Nat. Clim. Change, 8, 469–477, https://doi.org/10.1038/s41558-018-0156-3, 2018.
Short summary
This research looks at how climate change influences forests, and particularly how altered wind and insect activities could make forests emit instead of absorb carbon. We have updated a land surface model called ORCHIDEE to better examine the effect of bark beetles on forest health. Our findings suggest that sudden events, such as insect outbreaks, can dramatically affect carbon storage, offering crucial insights into tackling climate change.
This research looks at how climate change influences forests, and particularly how altered wind...
