Articles | Volume 19, issue 17
https://doi.org/10.5194/bg-19-4315-2022
© 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-19-4315-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
12 Sep 2022
Research article | Highlight paper |
| 12 Sep 2022
| 12 Sep 2022
Contrasting drought legacy effects on gross primary productivity in a mixed versus pure beech forest
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
René Orth
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
Markus Reichstein
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
Michael Bahn
Department of Ecology, University of Innsbruck, 6020 Innsbruck,
Austria
Anne Klosterhalfen
Bioclimatology, University of Göttingen, 37077 Göttingen,
Germany
Alexander Knohl
Bioclimatology, University of Göttingen, 37077 Göttingen,
Germany
Franziska Koebsch
Bioclimatology, University of Göttingen, 37077 Göttingen,
Germany
Mirco Migliavacca
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
Joint Research Centre, European Commission, 21027 Ispra (VA), Italy
Martina Mund
Forestry Research and Competence Centre Gotha, ThüringenForst, 99867 Gotha, Germany
Jacob A. Nelson
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
Benjamin D. Stocker
Department of Environmental Systems Science, ETH Zürich, 8092 Zurich, Switzerland
Forest Dynamics Unit, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Institute of Geography, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Falkenplatz 16, 3012 Bern, Switzerland
Sophia Walther
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
Ana Bastos
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, 07745 Jena, Germany
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Cited
16 citations as recorded by crossref.
- Contrasting Drought Propagation Into the Terrestrial Water Cycle Between Dry and Wet Regions W. Li et al. 10.1029/2022EF003441
- Enhanced prediction of vegetation responses to extreme drought using deep learning and Earth observation data K. Kladny et al. 10.1016/j.ecoinf.2024.102474
- Memory Effects of Water Deprivation in European Beech (Fagus sylvatica L.) and Silver Fir (Abies alba Mill.) Seedlings Grown in Mixed Cultivation F. Yang et al. 10.3390/f13101704
- Widespread and complex drought effects on vegetation physiology inferred from space W. Li et al. 10.1038/s41467-023-40226-9
- Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown A. Tang et al. 10.1016/j.scitotenv.2023.166149
- Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany F. Pohl et al. 10.1038/s41598-023-38087-9
- Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook S. Bathiany et al. 10.1007/s10712-024-09833-z
- A decade of rain exclusion in a Mediterranean forest reveals trade-offs of leaf chemical defenses and drought legacy effects J. Laoué et al. 10.1038/s41598-024-71417-z
- Drought decreased annual cumulative carbon uptake in Southwest China mainly through its influence on phenology rather than physiology J. Xie et al. 10.1016/j.ecolind.2023.111359
- Thermal, water, and land cover factors led to contrasting urban and rural vegetation resilience to extreme hot months Y. Wang et al. 10.1093/pnasnexus/pgae147
- Review article: Drought as a continuum – memory effects in interlinked hydrological, ecological, and social systems A. Van Loon et al. 10.5194/nhess-24-3173-2024
- Winter climate preconditioning of summer vegetation extremes in the Northern Hemisphere M. Anand et al. 10.1088/1748-9326/ad627d
- Drought legacies in mixed Mediterranean forests: Analysing the effects of structural overshoot, functional traits and site factors S. Italiano et al. 10.1016/j.scitotenv.2024.172166
- Assessing the impact of multi-year droughts on German forests in the context of increased tree mortality A. Holtmann et al. 10.1016/j.ecolmodel.2024.110696
- A Stepwise Multifactor Regression Analysis of the Interactive Effects of Multiple Climate Factors on the Response of Vegetation Recovery to Drought J. Fan et al. 10.3390/atmos15091094
- Response of Ecosystem Productivity to High Vapor Pressure Deficit and Low Soil Moisture: Lessons Learned From the Global Eddy‐Covariance Observations S. Xu et al. 10.1029/2022EF003252
15 citations as recorded by crossref.
- Contrasting Drought Propagation Into the Terrestrial Water Cycle Between Dry and Wet Regions W. Li et al. 10.1029/2022EF003441
- Enhanced prediction of vegetation responses to extreme drought using deep learning and Earth observation data K. Kladny et al. 10.1016/j.ecoinf.2024.102474
- Memory Effects of Water Deprivation in European Beech (Fagus sylvatica L.) and Silver Fir (Abies alba Mill.) Seedlings Grown in Mixed Cultivation F. Yang et al. 10.3390/f13101704
- Widespread and complex drought effects on vegetation physiology inferred from space W. Li et al. 10.1038/s41467-023-40226-9
- Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown A. Tang et al. 10.1016/j.scitotenv.2023.166149
- Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany F. Pohl et al. 10.1038/s41598-023-38087-9
- Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook S. Bathiany et al. 10.1007/s10712-024-09833-z
- A decade of rain exclusion in a Mediterranean forest reveals trade-offs of leaf chemical defenses and drought legacy effects J. Laoué et al. 10.1038/s41598-024-71417-z
- Drought decreased annual cumulative carbon uptake in Southwest China mainly through its influence on phenology rather than physiology J. Xie et al. 10.1016/j.ecolind.2023.111359
- Thermal, water, and land cover factors led to contrasting urban and rural vegetation resilience to extreme hot months Y. Wang et al. 10.1093/pnasnexus/pgae147
- Review article: Drought as a continuum – memory effects in interlinked hydrological, ecological, and social systems A. Van Loon et al. 10.5194/nhess-24-3173-2024
- Winter climate preconditioning of summer vegetation extremes in the Northern Hemisphere M. Anand et al. 10.1088/1748-9326/ad627d
- Drought legacies in mixed Mediterranean forests: Analysing the effects of structural overshoot, functional traits and site factors S. Italiano et al. 10.1016/j.scitotenv.2024.172166
- Assessing the impact of multi-year droughts on German forests in the context of increased tree mortality A. Holtmann et al. 10.1016/j.ecolmodel.2024.110696
- A Stepwise Multifactor Regression Analysis of the Interactive Effects of Multiple Climate Factors on the Response of Vegetation Recovery to Drought J. Fan et al. 10.3390/atmos15091094
Latest update: 20 Nov 2024
Co-editor-in-chief
This study significantly contributes to alleviating the data scarcity of drought legacy effects on ecosystem photosynthesis in temperate deciduous forests with a novel machine learning approach. This is probably the first time that drought legacies on ecosystem carbon fluxes are quantified using eddy-covariance data. The study reported that the reduction in photosynthesis due to drought legacy effects was of comparable magnitude to the concurrent drought effects at the studied sites. This study thus emphasizes the importance of drought legacy effects and provides a novel analytical method to quantify legacy effects elsewhere.
This study significantly contributes to alleviating the data scarcity of drought legacy effects...
Short summary
Identifying drought legacy effects is challenging because they are superimposed on variability driven by climate conditions in the recovery period. We develop a residual-based approach to quantify legacies on gross primary productivity (GPP) from eddy covariance data. The GPP reduction due to legacy effects is comparable to the concurrent effects at two sites in Germany, which reveals the importance of legacy effects. Our novel methodology can be used to quantify drought legacies elsewhere.
Identifying drought legacy effects is challenging because they are superimposed on variability...
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