Articles | Volume 18, issue 14
https://doi.org/10.5194/bg-18-4445-2021
© Author(s) 2021. 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-18-4445-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest: reconciling remote sensing data and field observations
Department of Earth Sciences, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Ype van der Velde
Department of Earth Sciences, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Florian Hofhansl
Biodiversity, Ecology, and Conservation Research Group, International Institute for Applied Systems Analysis (IIASA),
Laxenburg, Austria
Sebastiaan Luyssaert
Department of Ecological Science, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Kim Naudts
Department of Earth Sciences, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Bart Driessen
Department of Computer Science, Universidad de Alcalá de Henares,
Madrid, Spain
Katrin Fleischer
Department of Biogeochemical Signals, Max Planck Institute for
Biogeochemistry, Jena, Germany
Han Dolman
Department of Earth Sciences, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
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Cited
11 citations as recorded by crossref.
- Litter inputs and phosphatase activity affect the temporal variability of organic phosphorus in a tropical forest soil in the Central Amazon K. Schaap et al. 10.1007/s11104-021-05146-x
- The Interplay of the Tree and Stand-Level Processes Mediate Drought-Induced Forest Dieback: Evidence from Complementary Remote Sensing and Tree-Ring Approaches D. Moreno-Fernández et al. 10.1007/s10021-022-00793-2
- Widespread and complex drought effects on vegetation physiology inferred from space W. Li et al. 10.1038/s41467-023-40226-9
- Revisiting dry season vegetation dynamics in the Amazon rainforest using different satellite vegetation datasets X. Xie et al. 10.1016/j.agrformet.2021.108704
- Wood and bark water content and monthly stem growth in Amazonian tree species D. DIAS & R. MARENCO 10.1590/1809-4392202100754
- Drought Propagation in Brazilian Biomes Revealed by Remote Sensing J. Rossi et al. 10.3390/rs15020454
- Soil phosphorus fractions and their relation to leaf litterfall in a central Amazonian terra firme rainforest E. SANTOS et al. 10.1590/1809-4392202103471
- Revisiting vegetation activity of Mongolian Plateau using multiple remote sensing datasets Y. Bai et al. 10.1016/j.agrformet.2023.109649
- A Shift From Temperature to Water as the Primary Driver for Interannual Variability of the Tropical Carbon Cycle B. He et al. 10.1029/2023GL102812
- Assessing Drought Response in the Southwestern Amazon Forest by Remote Sensing and In Situ Measurements R. Souza et al. 10.3390/rs14071733
- Monitoring vegetation condition using microwave remote sensing: the standardized vegetation optical depth index (SVODI) L. Moesinger et al. 10.5194/bg-19-5107-2022
11 citations as recorded by crossref.
- Litter inputs and phosphatase activity affect the temporal variability of organic phosphorus in a tropical forest soil in the Central Amazon K. Schaap et al. 10.1007/s11104-021-05146-x
- The Interplay of the Tree and Stand-Level Processes Mediate Drought-Induced Forest Dieback: Evidence from Complementary Remote Sensing and Tree-Ring Approaches D. Moreno-Fernández et al. 10.1007/s10021-022-00793-2
- Widespread and complex drought effects on vegetation physiology inferred from space W. Li et al. 10.1038/s41467-023-40226-9
- Revisiting dry season vegetation dynamics in the Amazon rainforest using different satellite vegetation datasets X. Xie et al. 10.1016/j.agrformet.2021.108704
- Wood and bark water content and monthly stem growth in Amazonian tree species D. DIAS & R. MARENCO 10.1590/1809-4392202100754
- Drought Propagation in Brazilian Biomes Revealed by Remote Sensing J. Rossi et al. 10.3390/rs15020454
- Soil phosphorus fractions and their relation to leaf litterfall in a central Amazonian terra firme rainforest E. SANTOS et al. 10.1590/1809-4392202103471
- Revisiting vegetation activity of Mongolian Plateau using multiple remote sensing datasets Y. Bai et al. 10.1016/j.agrformet.2023.109649
- A Shift From Temperature to Water as the Primary Driver for Interannual Variability of the Tropical Carbon Cycle B. He et al. 10.1029/2023GL102812
- Assessing Drought Response in the Southwestern Amazon Forest by Remote Sensing and In Situ Measurements R. Souza et al. 10.3390/rs14071733
- Monitoring vegetation condition using microwave remote sensing: the standardized vegetation optical depth index (SVODI) L. Moesinger et al. 10.5194/bg-19-5107-2022
Latest update: 21 Sep 2023
Short summary
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.
Satellite images show that the Amazon forest has greened up during past droughts. Measurements...
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