Articles | Volume 19, issue 2
https://doi.org/10.5194/bg-19-477-2022
© 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-19-477-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jan 2022
Research article |
| 28 Jan 2022
| 28 Jan 2022
Spatially varying relevance of hydrometeorological hazards for vegetation productivity extremes
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, Jena, 07745, Germany
Jasper M. C. Denissen
CORRESPONDING AUTHOR
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, Jena, 07745, Germany
Mirco Migliavacca
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, Jena, 07745, Germany
now at: Joint Research Centre (JRC), European Commission, Ispra,
21027, Italy
Wantong Li
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, Jena, 07745, Germany
Anke Hildebrandt
German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig, 04103, Germany
Helmholtz Centre for Environmental Research – UFZ, Leipzig, 04318,
Germany
Institute of Geosciences, Friedrich Schiller University, Jena, 07743, Germany
Rene Orth
Department of Biogeochemical Integration, Max Planck Institute for
Biogeochemistry, Jena, 07745, Germany
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Total article views: 3,697 (including HTML, PDF, and XML)
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Total article views: 1,035 (including HTML, PDF, and XML)
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Cited
14 citations as recorded by crossref.
- Ecosystems in China have become more sensitive to changes in water demand since 2001 Y. Hu et al.
- Concurrent climate extremes and biological carryover effects dominate severe seasonal reductions in northern vegetation growth Y. Luo et al.
- Bioclimatic Reorganization of Carbon–Water–Energy Coupling Revealed by Eddy Covariance and Interpretable Machine Learning K. Yi et al.
- Drought- and heatwave-associated compound extremes: A review of hotspots, variables, parameters, drivers, impacts, and analysis frameworks M. Afroz et al.
- High-resolution European daily soil moisture derived with machine learning (2003–2020) S. O et al.
- Multidimensional aspects of drought event evolution drive the spatiotemporal heterogeneity of vegetation photosynthetic responses X. Liu et al.
- Widespread shift from ecosystem energy to water limitation with climate change J. Denissen et al.
- Northern ecosystem productivity reduced by Rossby-wave-driven hot–dry conditions X. Lian et al.
- Changes in the Thermal and Hydrometeorological Forest Growth Climate During 1948–2017 in Northern Germany B. Bat-Enerel et al.
- Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany F. Pohl et al.
- Study on fractional vegetation cover dynamic in the Yellow River Basin, China from 1901 to 2100 S. Jian et al.
- The characteristics and spatiotemporal evolution of heatwaves and droughts across six typical regions in China Y. Yang & D. Liu
- Drought type determines the pattern of ecological response to drought in trees with different sensitivities X. Wang et al.
- Higher frequency and duration of droughts demonstrated by the critical threshold of soil moisture in China drylands Y. Wang et al.
14 citations as recorded by crossref.
- Ecosystems in China have become more sensitive to changes in water demand since 2001 Y. Hu et al.
- Concurrent climate extremes and biological carryover effects dominate severe seasonal reductions in northern vegetation growth Y. Luo et al.
- Bioclimatic Reorganization of Carbon–Water–Energy Coupling Revealed by Eddy Covariance and Interpretable Machine Learning K. Yi et al.
- Drought- and heatwave-associated compound extremes: A review of hotspots, variables, parameters, drivers, impacts, and analysis frameworks M. Afroz et al.
- High-resolution European daily soil moisture derived with machine learning (2003–2020) S. O et al.
- Multidimensional aspects of drought event evolution drive the spatiotemporal heterogeneity of vegetation photosynthetic responses X. Liu et al.
- Widespread shift from ecosystem energy to water limitation with climate change J. Denissen et al.
- Northern ecosystem productivity reduced by Rossby-wave-driven hot–dry conditions X. Lian et al.
- Changes in the Thermal and Hydrometeorological Forest Growth Climate During 1948–2017 in Northern Germany B. Bat-Enerel et al.
- Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany F. Pohl et al.
- Study on fractional vegetation cover dynamic in the Yellow River Basin, China from 1901 to 2100 S. Jian et al.
- The characteristics and spatiotemporal evolution of heatwaves and droughts across six typical regions in China Y. Yang & D. Liu
- Drought type determines the pattern of ecological response to drought in trees with different sensitivities X. Wang et al.
- Higher frequency and duration of droughts demonstrated by the critical threshold of soil moisture in China drylands Y. Wang et al.
Saved (final revised paper)
Latest update: 06 May 2026
Short summary
Plant growth relies on having access to energy (solar radiation) and water (soil moisture). This energy and water availability is impacted by weather extremes, like heat waves and droughts, which will occur more frequently in response to climate change. In this context, we analysed global satellite data to detect in which regions extreme plant growth is controlled by energy or water. We find that extreme plant growth is associated with temperature- or soil-moisture-related extremes.
Plant growth relies on having access to energy (solar radiation) and water (soil moisture). This...
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