Articles | Volume 19, issue 7
https://doi.org/10.5194/bg-19-1979-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-1979-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Apr 2022
Research article |
| 06 Apr 2022
| 06 Apr 2022
The effects of varying drought-heat signatures on terrestrial carbon dynamics and vegetation composition
Elisabeth Tschumi
CORRESPONDING AUTHOR
Climate and Environmental Physics, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Sebastian Lienert
Climate and Environmental Physics, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Karin van der Wiel
Research and Development of Weather and Climate models, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Fortunat Joos
Climate and Environmental Physics, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Jakob Zscheischler
Climate and Environmental Physics, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany
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Earth Syst. Sci. Data, 15, 5301–5369, https://doi.org/10.5194/essd-15-5301-2023, https://doi.org/10.5194/essd-15-5301-2023, 2023
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Clim. Past, 19, 2177–2202, https://doi.org/10.5194/cp-19-2177-2023, https://doi.org/10.5194/cp-19-2177-2023, 2023
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Christoph Heinze, Thorsten Blenckner, Peter Brown, Friederike Fröb, Anne Morée, Adrian L. New, Cara Nissen, Stefanie Rynders, Isabel Seguro, Yevgeny Aksenov, Yuri Artioli, Timothée Bourgeois, Friedrich Burger, Jonathan Buzan, B. B. Cael, Veli Çağlar Yumruktepe, Melissa Chierici, Christopher Danek, Ulf Dieckmann, Agneta Fransson, Thomas Frölicher, Giovanni Galli, Marion Gehlen, Aridane G. González, Melchor Gonzalez-Davila, Nicolas Gruber, Örjan Gustafsson, Judith Hauck, Mikko Heino, Stephanie Henson, Jenny Hieronymus, I. Emma Huertas, Fatma Jebri, Aurich Jeltsch-Thömmes, Fortunat Joos, Jaideep Joshi, Stephen Kelly, Nandini Menon, Precious Mongwe, Laurent Oziel, Sólveig Ólafsdottir, Julien Palmieri, Fiz F. Pérez, Rajamohanan Pillai Ranith, Juliano Ramanantsoa, Tilla Roy, Dagmara Rusiecka, J. Magdalena Santana Casiano, Yeray Santana-Falcón, Jörg Schwinger, Roland Séférian, Miriam Seifert, Anna Shchiptsova, Bablu Sinha, Christopher Somes, Reiner Steinfeldt, Dandan Tao, Jerry Tjiputra, Adam Ulfsbo, Christoph Völker, Tsuyoshi Wakamatsu, and Ying Ye
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-182, https://doi.org/10.5194/bg-2023-182, 2023
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Sian Kou-Giesbrecht, Vivek K. Arora, Christian Seiler, Almut Arneth, Stefanie Falk, Atul K. Jain, Fortunat Joos, Daniel Kennedy, Jürgen Knauer, Stephen Sitch, Michael O'Sullivan, Naiqing Pan, Qing Sun, Hanqin Tian, Nicolas Vuichard, and Sönke Zaehle
Earth Syst. Dynam., 14, 767–795, https://doi.org/10.5194/esd-14-767-2023, https://doi.org/10.5194/esd-14-767-2023, 2023
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Laura Muntjewerf, Richard Bintanja, Thomas Reerink, and Karin van der Wiel
Geosci. Model Dev., 16, 4581–4597, https://doi.org/10.5194/gmd-16-4581-2023, https://doi.org/10.5194/gmd-16-4581-2023, 2023
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Sigrid Jørgensen Bakke, Niko Wanders, Karin van der Wiel, and Lena Merete Tallaksen
Nat. Hazards Earth Syst. Sci., 23, 65–89, https://doi.org/10.5194/nhess-23-65-2023, https://doi.org/10.5194/nhess-23-65-2023, 2023
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In this study, we developed a machine learning model to identify dominant controls of wildfire in Fennoscandia and produce monthly fire danger probability maps. The dominant control was shallow-soil water anomaly, followed by air temperature and deep soil water. The model proved skilful with a similar performance as the existing Canadian Forest Fire Weather Index (FWI). We highlight the benefit of using data-driven models jointly with other fire models to improve fire monitoring and prediction.
Shijie Jiang, Emanuele Bevacqua, and Jakob Zscheischler
Hydrol. Earth Syst. Sci., 26, 6339–6359, https://doi.org/10.5194/hess-26-6339-2022, https://doi.org/10.5194/hess-26-6339-2022, 2022
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Using a novel explainable machine learning approach, we investigated the contributions of precipitation, temperature, and day length to different peak discharges, thereby uncovering three primary flooding mechanisms widespread in European catchments. The results indicate that flooding mechanisms have changed in numerous catchments over the past 70 years. The study highlights the potential of artificial intelligence in revealing complex changes in extreme events related to climate change.
Natacha Le Grix, Jakob Zscheischler, Keith B. Rodgers, Ryohei Yamaguchi, and Thomas L. Frölicher
Biogeosciences, 19, 5807–5835, https://doi.org/10.5194/bg-19-5807-2022, https://doi.org/10.5194/bg-19-5807-2022, 2022
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Compound events threaten marine ecosystems. Here, we investigate the potentially harmful combination of marine heatwaves with low phytoplankton productivity. Using satellite-based observations, we show that these compound events are frequent in the low latitudes. We then investigate the drivers of these compound events using Earth system models. The models share similar drivers in the low latitudes but disagree in the high latitudes due to divergent factors limiting phytoplankton production.
Jens Terhaar, Thomas L. Frölicher, and Fortunat Joos
Biogeosciences, 19, 4431–4457, https://doi.org/10.5194/bg-19-4431-2022, https://doi.org/10.5194/bg-19-4431-2022, 2022
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Estimates of the ocean sink of anthropogenic carbon vary across various approaches. We show that the global ocean carbon sink can be estimated by three parameters, two of which approximate the ocean ventilation in the Southern Ocean and the North Atlantic, and one of which approximates the chemical capacity of the ocean to take up carbon. With observations of these parameters, we estimate that the global ocean carbon sink is 10 % larger than previously assumed, and we cut uncertainties in half.
Alexandre Tuel, Bettina Schaefli, Jakob Zscheischler, and Olivia Martius
Hydrol. Earth Syst. Sci., 26, 2649–2669, https://doi.org/10.5194/hess-26-2649-2022, https://doi.org/10.5194/hess-26-2649-2022, 2022
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River discharge is strongly influenced by the temporal structure of precipitation. Here, we show how extreme precipitation events that occur a few days or weeks after a previous event have a larger effect on river discharge than events occurring in isolation. Windows of 2 weeks or less between events have the most impact. Similarly, periods of persistent high discharge tend to be associated with the occurrence of several extreme precipitation events in close succession.
Pierre Friedlingstein, Matthew W. Jones, Michael O'Sullivan, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Corinne Le Quéré, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Rob B. Jackson, Simone R. Alin, Peter Anthoni, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Laurent Bopp, Thi Tuyet Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Kim I. Currie, Bertrand Decharme, Laique M. Djeutchouang, Xinyu Dou, Wiley Evans, Richard A. Feely, Liang Feng, Thomas Gasser, Dennis Gilfillan, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Ingrid T. Luijkx, Atul Jain, Steve D. Jones, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Sebastian Lienert, Junjie Liu, Gregg Marland, Patrick C. McGuire, Joe R. Melton, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Tsuneo Ono, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Clemens Schwingshackl, Roland Séférian, Adrienne J. Sutton, Colm Sweeney, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Francesco Tubiello, Guido R. van der Werf, Nicolas Vuichard, Chisato Wada, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, and Jiye Zeng
Earth Syst. Sci. Data, 14, 1917–2005, https://doi.org/10.5194/essd-14-1917-2022, https://doi.org/10.5194/essd-14-1917-2022, 2022
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The Global Carbon Budget 2021 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Henrique M. D. Goulart, Karin van der Wiel, Christian Folberth, Juraj Balkovic, and Bart van den Hurk
Earth Syst. Dynam., 12, 1503–1527, https://doi.org/10.5194/esd-12-1503-2021, https://doi.org/10.5194/esd-12-1503-2021, 2021
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Agriculture is sensitive to weather conditions and to climate change. We identify the weather conditions linked to soybean failures and explore changes related to climate change. Additionally, we build future versions of a historical extreme season under future climate scenarios. Results show that soybean failures are likely to increase with climate change. Future events with similar physical conditions to the extreme season are not expected to increase, but events with similar impacts are.
Loïc Schmidely, Christoph Nehrbass-Ahles, Jochen Schmitt, Juhyeong Han, Lucas Silva, Jinwha Shin, Fortunat Joos, Jérôme Chappellaz, Hubertus Fischer, and Thomas F. Stocker
Clim. Past, 17, 1627–1643, https://doi.org/10.5194/cp-17-1627-2021, https://doi.org/10.5194/cp-17-1627-2021, 2021
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Using ancient gas trapped in polar glaciers, we reconstructed the atmospheric concentrations of methane and nitrous oxide over the penultimate deglaciation to study their response to major climate changes. We show this deglaciation to be characterized by modes of methane and nitrous oxide variability that are also found during the last deglaciation and glacial cycle.
Jurek Müller and Fortunat Joos
Biogeosciences, 18, 3657–3687, https://doi.org/10.5194/bg-18-3657-2021, https://doi.org/10.5194/bg-18-3657-2021, 2021
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We present long-term projections of global peatland area and carbon with a continuous transient history since the Last Glacial Maximum. Our novel results show that large parts of today’s northern peatlands are at risk from past and future climate change, with larger emissions clearly connected to larger risks. The study includes comparisons between different emission and land-use scenarios, driver attribution through factorial simulations, and assessments of uncertainty from climate forcing.
Roberto Villalobos-Herrera, Emanuele Bevacqua, Andreia F. S. Ribeiro, Graeme Auld, Laura Crocetti, Bilyana Mircheva, Minh Ha, Jakob Zscheischler, and Carlo De Michele
Nat. Hazards Earth Syst. Sci., 21, 1867–1885, https://doi.org/10.5194/nhess-21-1867-2021, https://doi.org/10.5194/nhess-21-1867-2021, 2021
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Climate hazards may be caused by events which have multiple drivers. Here we present a method to break down climate model biases in hazard indicators down to the bias caused by each driving variable. Using simplified fire and heat stress indicators driven by temperature and relative humidity as examples, we show how multivariate indicators may have complex biases and that the relationship between driving variables is a source of bias that must be considered in climate model bias corrections.
Jun Li, Zhaoli Wang, Xushu Wu, Jakob Zscheischler, Shenglian Guo, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 25, 1587–1601, https://doi.org/10.5194/hess-25-1587-2021, https://doi.org/10.5194/hess-25-1587-2021, 2021
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We introduce a daily-scale index, termed the standardized compound drought and heat index (SCDHI), to measure the key features of compound dry-hot conditions. SCDHI can not only monitor the long-term compound dry-hot events, but can also capture such events at sub-monthly scale and reflect the related vegetation activity impacts. The index can provide a new tool to quantify sub-monthly characteristics of compound dry-hot events, which are vital for releasing early and timely warning.
Natacha Le Grix, Jakob Zscheischler, Charlotte Laufkötter, Cecile S. Rousseaux, and Thomas L. Frölicher
Biogeosciences, 18, 2119–2137, https://doi.org/10.5194/bg-18-2119-2021, https://doi.org/10.5194/bg-18-2119-2021, 2021
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Marine ecosystems could suffer severe damage from the co-occurrence of a marine heat wave with extremely low chlorophyll concentration. Here, we provide a first assessment of compound marine heat wave and
low-chlorophyll events in the global ocean from 1998 to 2018. We reveal hotspots of these compound events in the equatorial Pacific and in the Arabian Sea and show that they mostly occur in summer at high latitudes and their frequency is modulated by large-scale modes of climate variability.
Gijs van Kempen, Karin van der Wiel, and Lieke Anna Melsen
Nat. Hazards Earth Syst. Sci., 21, 961–976, https://doi.org/10.5194/nhess-21-961-2021, https://doi.org/10.5194/nhess-21-961-2021, 2021
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In this study, we combine climate model results with a hydrological model to investigate uncertainties in flood and drought risk. With the climate model, 2000 years of
current climatewas created. The hydrological model consisted of several building blocks that we could adapt. In this way, we could investigate the effect of these hydrological building blocks on high- and low-flow risk in four different climate zones with return periods of up to 500 years.
Shannon A. Bengtson, Laurie C. Menviel, Katrin J. Meissner, Lise Missiaen, Carlye D. Peterson, Lorraine E. Lisiecki, and Fortunat Joos
Clim. Past, 17, 507–528, https://doi.org/10.5194/cp-17-507-2021, https://doi.org/10.5194/cp-17-507-2021, 2021
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The last interglacial was a warm period that may provide insights into future climates. Here, we compile and analyse stable carbon isotope data from the ocean during the last interglacial and compare it to the Holocene. The data show that Atlantic Ocean circulation was similar during the last interglacial and the Holocene. We also establish a difference in the mean oceanic carbon isotopic ratio between these periods, which was most likely caused by burial and weathering carbon fluxes.
Johannes Vogel, Pauline Rivoire, Cristina Deidda, Leila Rahimi, Christoph A. Sauter, Elisabeth Tschumi, Karin van der Wiel, Tianyi Zhang, and Jakob Zscheischler
Earth Syst. Dynam., 12, 151–172, https://doi.org/10.5194/esd-12-151-2021, https://doi.org/10.5194/esd-12-151-2021, 2021
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We present a statistical approach for automatically identifying multiple drivers of extreme impacts based on LASSO regression. We apply the approach to simulated crop failure in the Northern Hemisphere and identify which meteorological variables including climate extreme indices and which seasons are relevant to predict crop failure. The presented approach can help unravel compounding drivers in high-impact events and could be applied to other impacts such as wildfires or flooding.
Sarah F. Kew, Sjoukje Y. Philip, Mathias Hauser, Mike Hobbins, Niko Wanders, Geert Jan van Oldenborgh, Karin van der Wiel, Ted I. E. Veldkamp, Joyce Kimutai, Chris Funk, and Friederike E. L. Otto
Earth Syst. Dynam., 12, 17–35, https://doi.org/10.5194/esd-12-17-2021, https://doi.org/10.5194/esd-12-17-2021, 2021
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Motivated by the possible influence of rising temperatures, this study synthesises results from observations and climate models to explore trends (1900–2018) in eastern African (EA) drought measures. However, no discernible trends are found in annual soil moisture or precipitation. Positive trends in potential evaporation indicate that for irrigated regions more water is now required to counteract increased evaporation. Precipitation deficit is, however, the most useful indicator of EA drought.
Jakob Zscheischler, Philippe Naveau, Olivia Martius, Sebastian Engelke, and Christoph C. Raible
Earth Syst. Dynam., 12, 1–16, https://doi.org/10.5194/esd-12-1-2021, https://doi.org/10.5194/esd-12-1-2021, 2021
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Compound extremes such as heavy precipitation and extreme winds can lead to large damage. To date it is unclear how well climate models represent such compound extremes. Here we present a new measure to assess differences in the dependence structure of bivariate extremes. This measure is applied to assess differences in the dependence of compound precipitation and wind extremes between three model simulations and one reanalysis dataset in a domain in central Europe.
Sjoukje Philip, Sarah Kew, Geert Jan van Oldenborgh, Friederike Otto, Robert Vautard, Karin van der Wiel, Andrew King, Fraser Lott, Julie Arrighi, Roop Singh, and Maarten van Aalst
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 177–203, https://doi.org/10.5194/ascmo-6-177-2020, https://doi.org/10.5194/ascmo-6-177-2020, 2020
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Event attribution studies can now be performed at short notice. We document a protocol developed by the World Weather Attribution group. It includes choices of which events to analyse, the event definition, observational analysis, model evaluation, multi-model multi-method attribution, hazard synthesis, vulnerability and exposure analysis, and communication procedures. The protocol will be useful for future event attribution studies and as a basis for an operational attribution service.
Jurek Müller and Fortunat Joos
Biogeosciences, 17, 5285–5308, https://doi.org/10.5194/bg-17-5285-2020, https://doi.org/10.5194/bg-17-5285-2020, 2020
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We present an in-depth model analysis of transient peatland area and carbon dynamics over the last 22 000 years. Our novel results show that the consideration of both gross positive and negative area changes are necessary to understand the transient evolution of peatlands and their net effect on atmospheric carbon. The study includes the attributions to drivers through factorial simulations, assessments of uncertainty from climate forcing, and determination of the global net carbon balance.
Andreia Filipa Silva Ribeiro, Ana Russo, Célia Marina Gouveia, Patrícia Páscoa, and Jakob Zscheischler
Biogeosciences, 17, 4815–4830, https://doi.org/10.5194/bg-17-4815-2020, https://doi.org/10.5194/bg-17-4815-2020, 2020
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This study investigates the impacts of compound dry and hot extremes on crop yields, namely wheat and barley, over two regions in Spain dominated by rainfed agriculture. We provide estimates of the conditional probability of crop loss under compound dry and hot conditions, which could be an important tool for responsible authorities to mitigate the impacts magnified by the interactions between the different hazards.
Cited articles
Ahlström, A., Raupach, M. R., Schurgers, G., Smith, B., Arneth, A., Jung,
M., Reichstein, M., Canadell, J. G., Friedlingstein, P., Jain, A. K., Kato,
E., Poulter, B., Sitch, S., Stocker, B. D., Viovy, N., Wang, Y. P.,
Wiltshire, A., Zaehle, S., and Zeng, N.: The dominant role of semi-arid
ecosystems in the trend and variability of the land CO2 sink, Science, 348,
895–899, 2015. a
Allen, C. D., Macalady, A. K., Chenchouni, H., Bachelet, D., McDowell, N.,
Vennetier, M., Kitzberger, T., Rigling, A., Breshears, D. D., Hogg, E. T.,
Gonzalez, P., Fensham, R., Zhang, Z., Castro, J., Demidova, N., Lim, J.-H.,
Allard, G., Running, S. W., Semerci, A., and Cobb, N.: A global overview of
drought and heat-induced tree mortality reveals emerging climate change risks
for forests, Forest Ecol. Manag., 259, 660–684,
https://doi.org/10.1016/j.foreco.2009.09.001, 2010. a
Anderegg, W. R., Kane, J. M., and Anderegg, L. D.: Consequences of widespread
tree mortality triggered by drought and temperature stress, Nat. Clim. Change, 3, 30–36, 2013. a
Arend, M., Link, R. M., Patthey, R., Hoch, G., Schuldt, B., and Kahmen, A.:
Rapid hydraulic collapse as cause of drought-induced mortality in conifers,
P. Natl. Acad. Sci. USA, 118, 16, https://doi.org/10.1073/pnas.2025251118, 2021. a
Bastos, A., Ciais, P., Friedlingstein, P., Sitch, S., Pongratz, J., Fan, L.,
Wigneron, J. P., Weber, U., Reichstein, M., Fu, Z., Anthoni, P., Arneth, A.,
Haverd, V., Jain, A. K., Joetzjer, E., Knauer, J., Lienert, S., Loughran, T.,
McGuire, P. C., Tian, H., Viovy, N., and Zaehle, S.: Direct and seasonal
legacy effects of the 2018 heat wave and drought on European ecosystem
productivity, Science Advances, 6, eaba2724, https://doi.org/10.1126/sciadv.aba2724,
2020. a
Beier, C., Beierkuhnlein, C., Wohlgemuth, T., Penuelas, J., Emmett, B.,
Körner, C., de Boeck, H., Christensen, J. H., Leuzinger, S., Janssens,
I. A., and Hansen, K.: Precipitation manipulation experiments–challenges and
recommendations for the future, Ecol. Lett., 15, 899–911, 2012. a
Belyazid, S. and Giuliana, Z.: Water limitation can negate the effect of higher
temperatures on forest carbon sequestration, Eur. J. For.
Res., 138, 287–297, 2019. a
Bonan, G. B.: Forests and climate change: forcings, feedbacks, and the climate
benefits of forests, Science, 320, 1444–1449, 2008. a
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.,
Valentini, R., Grüunwald, 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, 529–33, https://doi.org/10.1038/nature03972, 2005. a, b, c
De Boeck, H. J., Dreesen, F. E., Janssens, I. A., and Nijs, I.: Whole-system
responses of experimental plant communities to climate extremes imposed in
different seasons, New Phytol., 189, 806–817, 2011. a
De Kauwe, M. G., Medlyn, B. E., Zaehle, S., Walker, A. P., Dietze, M. C.,
Hickler, T., Jain, A. K., Luo, Y., Parton, W. J., Prentice, I. C., Smith, B.,
Thornton, P. E., Wang, S., Wang, Y.-P., Wårlind, D., Weng, E., Crous,
K. Y., Ellsworth, D. S., Hanson, P. J., Kim, H.-S., Warren, J. M., Oren, R.,
and Norby, R. J.: Forest water use and water use efficiency at elevated CO2:
a model-data intercomparison at two contrasting temperate forest FACE sites,
Global Change Biol., 19, 1759–1779, 2013. a
De Kauwe, M. G., Medlyn, B. E., and Tissue, D. T.: To what extent can rising
[CO2] ameliorate plant drought stress?, New Phytol., 231, 2118–2124,
2021. a
Domec, J.-C., Smith, D. D., and McCulloh, K. A.: A synthesis of the effects of
atmospheric carbon dioxide enrichment on plant hydraulics: implications for
whole-plant water use efficiency and resistance to drought, Plant Cell Environ., 40, 921–937, 2017. a
Doughty, C. E., Metcalfe, D. B., Girardin, C. A. J., Farfán Amézquita, F.,
Galiano Cabrera, D., Huaraca Huasco, W., Silva-Espejo, J. E.,
Araujo-Murakami, A., da Costa, M. C., Rocha, W., Feldpausch, T. R., Mendoza,
A. L. M., da Costa, A. C. L., Meir, P., Phillips, O. L., and Malhi, Y.:
Drought impact on forest carbon dynamics and fluxes in Amazonia, Nature, 519,
78–82, 2015. a
Flach, M., Gans, F., Brenning, A., Denzler, J., Reichstein, M., Rodner, E., Bathiany, S., Bodesheim, P., Guanche, Y., Sippel, S., and Mahecha, M. D.: Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques, Earth Syst. Dynam., 8, 677–696, https://doi.org/10.5194/esd-8-677-2017, 2017. a
Frank, D., Reichstein, M., Bahn, M., Thonicke, K., Frank, D., Mahecha, M. D.,
Smith, P., Van der Velde, M., Vicca, S., Babst, F., Beer, C., Buchmann, N.,
Canadell, J. G., Ciais, P., Cramer, W., Ibrom, A., Miglietta, F., Poulter,
B., Rammig, A., Seneviratne, S. I., Walz, A., Wattenbach, M., Zavala, M. A.,
and Zscheischler, J.: Effects of climate extremes on the terrestrial carbon
cycle: concepts, processes and potential future impacts, Glob. Change
Biol., 21, 2861–2880, 2015. a, b
Friedlingstein, P., Meinshausen, M., Arora, V. K., Jones, C. D., Anav, A.,
Liddicoat, S. K., and Knutti, R.: Uncertainties in CMIP5 climate projections
due to carbon cycle feedbacks, J. Climate, 27, 511–526, 2014. a
Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Sitch, S., Le Quéré, C., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S., Aragão, L. E. O. C., Arneth, A., Arora, V., Bates, N. R., Becker, M., Benoit-Cattin, A., Bittig, H. C., Bopp, L., Bultan, S., Chandra, N., Chevallier, F., Chini, L. P., Evans, W., Florentie, L., Forster, P. M., Gasser, T., Gehlen, M., Gilfillan, D., Gkritzalis, T., Gregor, L., Gruber, N., Harris, I., Hartung, K., Haverd, V., Houghton, R. A., Ilyina, T., Jain, A. K., Joetzjer, E., Kadono, K., Kato, E., Kitidis, V., Korsbakken, J. I., Landschützer, P., Lefèvre, N., Lenton, A., Lienert, S., Liu, Z., Lombardozzi, D., Marland, G., Metzl, N., Munro, D. R., Nabel, J. E. M. S., Nakaoka, S.-I., Niwa, Y., O'Brien, K., Ono, T., Palmer, P. I., Pierrot, D., Poulter, B., Resplandy, L., Robertson, E., Rödenbeck, C., Schwinger, J., Séférian, R., Skjelvan, I., Smith, A. J. P., Sutton, A. J., Tanhua, T., Tans, P. P., Tian, H., Tilbrook, B., van der Werf, G., Vuichard, N., Walker, A. P., Wanninkhof, R., Watson, A. J., Willis, D., Wiltshire, A. J., Yuan, W., Yue, X., and Zaehle, S.: Global Carbon Budget 2020, Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020, 2020. a
Friend, A. D., Lucht, W., Rademacher, T. T., Keribin, R., Betts, R., Cadule,
P., Ciais, P., Clark, D. B., Dankers, R., Falloon, P. D., Ito, A., Kahana,
R., Kleidon, A., Lomas, M. R., Nishina, K., Ostberg, S., Pavlick, R., Peylin,
P., Schaphoff, S., Vuichard, N., Warszawski, L., Wiltshire, A., and Woodward,
F. I.: Carbon residence time dominates uncertainty in terrestrial vegetation
responses to future climate and atmospheric CO2, P. Natl. Acad. Sci. USA, 111, 3280–3285, 2014. a
Gampe, D., Zscheischler, J., Reichstein, M., O’Sullivan, M., Smith, W. K.,
Sitch, S., and Buermann, W.: Increasing impact of warm droughts on northern
ecosystem productivity over recent decades, Nat. Clim. Change, 11, 772–779, https://doi.org/10.1038/s41558-021-01112-8, 2021. a
Hazeleger, W., Wang, X., Severijns, C., Ştefănescu, S., Bintanja,
R., Sterl, A., Wyser, K., Semmler, T., Yang, S., Van den Hurk, B., van Noije,
T., van der Linden, E., and van der Wiel, K.: EC-Earth V2.2: description
and validation of a new seamless earth system prediction model, Clim. Dynam., 39, 2611–2629, 2012. a
Herrera-Estrada, J. E. and Sheffield, J.: Uncertainties in Future Projections
of Summer Droughts and Heat Waves over the Contiguous United States, J. Climate, 30, 6225–6246, https://doi.org/10.1175/JCLI-D-16-0491.1, 2017. a
IPCC: Managing the Risks of Extreme Events and Disasters to Advance Climate
Change Adaptation: Special Report of the Intergovernmental Panel on Climate
Change, Cambridge University Press, https://doi.org/10.1017/CBO9781139177245, 2012. a
Lesk, C., Coffel, E., Winter, J., Ray, D., Zscheischler, J., Seneviratne, S.,
and Horton, R.: Stronger temperature-moisture couplings exacerbate the impact
of climate warming on global crop yields, Nature Food, 2, 683–691, 2021. a
Lienert, S. and Joos, F.: A Bayesian ensemble data assimilation to constrain model parameters and land-use carbon emissions, Biogeosciences, 15, 2909–2930, https://doi.org/10.5194/bg-15-2909-2018, 2018. a
Machado-Silva, F., Peres, L. F., Gouveia, C. M., Enrich-Prast, A., Peixoto,
R. B., Pereira, J. M., Marotta, H., Fernandes, P. J., and Libonati, R.:
Drought resilience debt drives NPP decline in the Amazon Forest, Global Biogeochem. Cy., 35, e2021GB007004, https://doi.org/10.1029/2021GB007004, 2021. a
Pan, S., Yang, J., Tian, H., Shi, H., Chang, J., Ciais, P., Francois, L.,
Frieler, K., Fu, B., Hickler, T., Ito, A., Nishina, K., Ostberg, S., Reyer,
C. P., Schaphoff, S., Steinkamp, J., and Zhao, F.: Climate Extreme Versus
Carbon Extreme: Responses of Terrestrial Carbon Fluxes to Temperature and
Precipitation, J. Geophys. Res.-Biogeo., 125,
e2019JG005252, https://doi.org/10.1029/2019JG005252, 2020. a, b
Paschalis, A., Fatichi, S., Zscheischler, J., Ciais, P., Bahn, M., Boysen, L.,
Chang, J., De Kauwe, M., Estiarte, M., Goll, D., Hanson, P. J., Harper,
A. B., Hou, E., Kigel, J., Knapp, A. K., Larse, K. S., Li, W., Lienert, S.,
Luo, Y., Meir, P., Nabel, J. E. M. S., Ogaya, R., Parolari, A. J., Peng, C.,
Peñuelas, J., Pongratz, J., Rambal, S., Schmidt, I. K., Shi, H.,
Sternberg, M., Tian, H., Tschumi, E., Ukkola, A., Vicca, S., Viovy, N., Wang,
Y.-P., Wang, Z., Williams, K., Wu, D., and Zhu, Q.: Rainfall manipulation
experiments as simulated by terrestrial biosphere models: Where do we stand?,
Glob. Change Biol., 26, 3336–3355, 2020. a
Rammig, A., Wiedermann, M., Donges, J. F., Babst, F., von Bloh, W., Frank, D., Thonicke, K., and Mahecha, M. D.: Coincidences of climate extremes and anomalous vegetation responses: comparing tree ring patterns to simulated productivity, Biogeosciences, 12, 373–385, https://doi.org/10.5194/bg-12-373-2015, 2015. a
Reichstein, M., Bahn, M., Ciais, P., Frank, D., Mahecha, M. D., Seneviratne,
S. I., Zscheischler, J., Beer, C., Buchmann, N., Frank, D. C., Papale, D.,
Rammig, A., Smith, P., Thonicke, K., van der Welde, M., Vicca, S., Walz, A.,
and Wattenbach, M.: Climate extremes and the carbon cycle, Nature, 500,
287–295, 2013. a, b, c
Ribeiro, A. F. S., Russo, A., Gouveia, C. M., Páscoa, P., and Zscheischler, J.: Risk of crop failure due to compound dry and hot extremes estimated with nested copulas, Biogeosciences, 17, 4815–4830, https://doi.org/10.5194/bg-17-4815-2020, 2020. a, b
Ruiz-Pérez, G. and Vico, G.: Effects of temperature and water availability
on Northern European boreal forests, Frontiers in Forests and Global Change,
3, 34, https://doi.org/10.3389/ffgc.2020.00034, 2020. a, b
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., Ffabrika, M., Nagel, T. A., and Reyer, C.
P. O.: Forest disturbances under climate change, Nat. Clim. Change, 7,
395–402, 2017. a
Seneviratne, S. I., Nicholls, N., Easterling, D., Goodess, C., Kanae, S.,
Kossin, J., Luo, Y., Marengo, J., McInnes, K., Rahimi, M., Reichstein, M.,
Sorteberg, A., Vera, C., and Zhang, X.: Changes in Climate Extremes and
their Impacts on the Natural Physical Environment, in: Managing the Risks
of Extreme Events and Disasters to Advance Climate Change Adaptation, edited
by: Field, C., Barros, V., Stocker, T., Qin, D., Dokken, D., Ebi, K.,
Mastrandrea, M., Mach, K., Plattner, G.-K., Allen, S., Tignor, M., and
Midgley, P., Cambridge University Press, Cambridge, UK, and New
York, NY, USA, 109–230, https://doi.org/10.7916/d8-6nbt-s431, 2012. a
Senf, C., Buras, A., Zang, C. S., Rammig, A., and Seidl, R.: Excess forest
mortality is consistently linked to drought across Europe, Nat. Commun., 11, 1–8, https://doi.org/10.1038/s41467-020-19924-1, 2020. a, b
Sippel, S., Reichstein, M., Ma, X., Mahecha, M. D., Lange, H., Flach, M., and
Frank, D.: Drought, heat, and the carbon cycle: a review, Current Climate
Change Reports, 4, 266–286, 2018. a
Sitch, S., Smith, B., Prentice, I. C., Arneth, A., Bondeau, A., Cramer, W.,
Kaplan, J. O., Levis, S., Lucht, W., Sykes, M. T., Thonicke, K., and
Venevsky, S.: Evaluation of ecosystem dynamics, plant geography and
terrestrial carbon cycling in the LPJ dynamic global vegetation model, Global Change Biol., 9, 161–185, 2003. a, b
Sitch, S., Huntingford, C., Gedney, N., Levy, P., Lomas, M., Piao, S., Betts,
R., Ciais, P., Cox, P., Friedlingstein, P., Jones, C. D., Prentice, I. C.,
and Woodward, F. I.: Evaluation of the terrestrial carbon cycle, future plant
geography and climate-carbon cycle feedbacks using five Dynamic Global
Vegetation Models (DGVMs), Global Change Biol., 14, 2015–2039, 2008. a
Song, J., Wan, S., Piao, S., Knapp, A. K., Classen, A. T., Vicca, S., Ciais,
P., Hovenden, M. J., Leuzinger, S., Beier, C., Kardol, P., Xia, J., Liu, Q.,
Ru, J., Zhou, Z., Luo, Y., Guo, D., Langley, A. J., Zscheischler, J., Dukes,
J. S., Tang, J., Chen, J., Hofmockel, K. S., Kueppers, L. M., Rustad, L.,
Liu, L., Smith, M. D., Templer, P. H., Quinn Thomas, R., Norby, R. J.,
Phillips, R. P., Niu, S., Fatichi, S., Wang, Y., Shao, P., Han, H., Wang, D.,
Lei, L., Wang, J., Li, X., Zhang, Q., Li, X., Su, F., Liu, B., Yang, F., Ma,
G., Li, G., Liu, Y., Liu, Y., Yang, Z., Zhang, K., Miao, Y., Hu, M., Yan, C.,
Zhang, A., Zhong, M., Hui, Y., Li, Y., and Zheng, M.: A meta-analysis of
1,119 manipulative experiments on terrestrial carbon-cycling responses to
global change, Nature Ecology & Evolution, 3, 1309–1320,
https://doi.org/10.1038/s41559-019-0958-3, 2019. a
Stocker, B. D., Zscheischler, J., Keenan, T. F., Prentice, I. C., Seneviratne,
S. I., and Peñuelas, J.: Drought impacts on terrestrial primary
production underestimated by satellite monitoring, Nat. Geosci., 12,
264–270, 2019. a
Tian, H., Yang, J., Lu, C., Xu, R., Canadell, J. G., Jackson, R. B., Arneth,
A., Chang, J., Chen, G., Ciais, P., Gerber, S., Ito, A., Huang, Y., Joos, F.,
Lienert, S., Messina, P., Olin, S., Pan, S., Peng, C., Saikawa, E., Thompson,
R. L., Vuichard, N., Winiwarter, W., Zaehle, S., Zhang, B., Zhang, K., and
Zhu, Q.: The global N2O Model Intercomparison Project, B. Am. Meteorol. Soc., 99, 1231–1251, 2018. a
Tschumi, E. and Zscheischler, J.: Countrywide climate features during recorded
climate-related disasters, Climatic Change, 158, 593–609,
https://doi.org/10.1007/s10584-019-02556-w, 2020. a
Tschumi, E., Lienert, S., van der Wiel, K., Joos, F., and Zscheischler, J.: A climate database with varying drought-heat signatures for climate impact modelling (version1.0), Zenodo [data set], https://doi.org/10.5281/zenodo.4385445, 2020. a
Van der Wiel, K., Selten, F. M., Bintanja, R., Blackport, R., and Screen,
J. A.: Ensemble climate-impact modelling: extreme impacts from moderate
meteorological conditions, Environ. Res. Lett., 15, 034050, https://doi.org/10.1088/1748-9326/ab7668, 2020. a
Vogel, J., Rivoire, P., Deidda, C., Rahimi, L., Sauter, C. A., Tschumi, E., van der Wiel, K., Zhang, T., and Zscheischler, J.: Identifying meteorological drivers of extreme impacts: an application to simulated crop yields, Earth Syst. Dynam., 12, 151–172, https://doi.org/10.5194/esd-12-151-2021, 2021. a
von Buttlar, J., Zscheischler, J., Rammig, A., Sippel, S., Reichstein, M., Knohl, A., Jung, M., Menzer, O., Arain, M. A., Buchmann, N., Cescatti, A., Gianelle, D., Kiely, G., Law, B. E., Magliulo, V., Margolis, H., McCaughey, H., Merbold, L., Migliavacca, M., Montagnani, L., Oechel, W., Pavelka, M., Peichl, M., Rambal, S., Raschi, A., Scott, R. L., Vaccari, F. P., van Gorsel, E., Varlagin, A., Wohlfahrt, G., and Mahecha, M. D.: Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones, Biogeosciences, 15, 1293–1318, https://doi.org/10.5194/bg-15-1293-2018, 2018. a, b, c
Way, D. A. and Oren, R.: Differential responses to changes in growth
temperature between trees from different functional groups and biomes: a
review and synthesis of data, Tree Physiol., 30, 669–688, 2010. a
Wieder, W. R., Boehnert, J., Bonan, G. B., and Langseth, M.: Regridded Harmonized World Soil Database V1.2. ORNL DAAC, Oak Ridge, Tenessee, USA, Earth data [data set], https://doi.org/10.3334/ORNLDAAC/1247, 2014. a
Xu, C., McDowell, N. G., Fisher, R. A., Wei, L., Sevanto, S., Christoffersen,
B. O., Weng, E., and Middleton, R. S.: Increasing impacts of extreme droughts
on vegetation productivity under climate change, Nat. Clim. Change, 9,
948–953, 2019. a
Yuan, W., Cai, W., Chen, Y., Liu, S., Dong, W., Zhang, H., Yu, G., Chen, Z.,
He, H., Guo, W., Liu, D., Liu, S., Xiang, W., Xie, Z., Zhao, Z., and Zhou,
G.: Severe summer heatwave and drought strongly reduced carbon uptake in
Southern China, Sci. Rep., 6, 1–12, 2016. a
Zhao, M. and Running, S. W.: Drought-induced reduction in global terrestrial
net primary production from 2000 through 2009, Science, 329, 940–943,
https://doi.org/10.1126/science.1192666, 2010. a
Zscheischler, J. and Seneviratne, S. I.: Dependence of drivers affects risks
associated with compound events, Science Advances, 3, e1700263,
https://doi.org/10.1126/sciadv.1700263, 2017. a, b, c
Zscheischler, J., Mahecha, M. D., Harmeling, S., and Reichstein, M.: Detection
and attribution of large spatiotemporal extreme events in Earth observation
data, Ecol. Inform., 15, 66–73,
https://doi.org/10.1016/j.ecoinf.2013.03.004, 2013. a
Zscheischler, J., Mahecha, M. D., Von Buttlar, J., Harmeling, S., Jung, M.,
Rammig, A., Randerson, J. T., Schölkopf, B., Seneviratne, S. I.,
Tomelleri, E., Zaehle, S., and Reichstein, M.: A few extreme events dominate
global interannual variability in gross primary production, Environ. Res. Lett., 9, 035001, https://doi.org/10.1088/1748-9326/9/3/035001,
2014a.
a
Zscheischler, J., Michalak, A. M., Schwalm, C., Mahecha, M. D., Huntzinger,
D. N., Reichstein, M., Berthier, G., Ciais, P., Cook, R. B., El-Masri, B.,
Huang, M., Ito, A., Jain, A., King, A., Lei, H., Lu, C., Mao, J., Peng, S.,
Poulter, B., Ricciuto, D., Shi, X., Tao, B., Tian, H., Viovy, N., Wang, W.,
Wei, Y., Yang, J., and Zeng, N.: Impact of large-scale climate extremes on
biospheric carbon fluxes: An intercomparison based on MsTMIP data, Global Biogeochem. Cy., 28, 585–600, https://doi.org/10.1002/2014GB004826,
2014b. a, b, c
Zscheischler, J., Reichstein, M., Harmeling, S., Rammig, A., Tomelleri, E., and Mahecha, M. D.: Extreme events in gross primary production: a characterization across continents, Biogeosciences, 11, 2909–2924, https://doi.org/10.5194/bg-11-2909-2014, 2014c. a
Zscheischler, J., Reichstein, M., Von Buttlar, J., Mu, M., Randerson, J. T.,
and Mahecha, M. D.: Carbon cycle extremes during the 21st century in CMIP5
models: Future evolution and attribution to climatic drivers, Geophys. Res. Lett., 41, 8853–8861, 2014d. a
Zscheischler, J., Fatichi, S., Wolf, S., Blanken, P. D., Bohrer, G., Clark, K.,
Desai, A. R., Hollinger, D., Keenan, T., Novick, K. A., and Seneviratne,
S. I.: Short-term favorable weather conditions are an important control of
interannual variability in carbon and water fluxes, J. Geophys.
Res.-Biogeo., 121, 2186–2198, 2016. a
Zscheischler, J., Westra, S., Van Den Hurk, B. J., 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, 2018. a
Zscheischler, J., Martius, O., Westra, S., Bevacqua, E., R., C., Horton, R. M.,
van den Hurk, B., AghaKouchak, A., Jézéquel, A., Mahecha, M. D.,
Maraun, D., Ramos, A. M., Ridder, N., Thiery, W., and Vignotto, E.: A
typology of compound weather and climate events, Nature Reviews Earth and
Environment, 1, 333–347, https://doi.org/10.1038/s43017-020-0060-z, 2020. a
Short summary
Droughts and heatwaves are expected to occur more often in the future, but their effects on land vegetation and the carbon cycle are poorly understood. We use six climate scenarios with differing extreme occurrences and a vegetation model to analyse these effects. Tree coverage and associated plant productivity increase under a climate with no extremes. Frequent co-occurring droughts and heatwaves decrease plant productivity more than the combined effects of single droughts or heatwaves.
Droughts and heatwaves are expected to occur more often in the future, but their effects on land...
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