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Widespread and complex drought effects on vegetation physiology inferred from space

Wantong Li, Javier Pacheco-Labrador, Mirco Migliavacca, Diego Miralles (UGent) , Anne Hoek van Dijke, Markus Reichstein, Matthias Forkel, Weijie Zhang, Christian Frankenberg, Annu Panwar, et al.
(2023) NATURE COMMUNICATIONS. 14(1).
Author
Organization
Abstract
The response of vegetation physiology to drought at large spatial scales is poorly understood due to a lack of direct observations. Here, we study vegetation drought responses related to photosynthesis, evaporation, and vegetation water content using remotely sensed data, and we isolate physiological responses using a machine learning technique. We find that vegetation functional decreases are largely driven by the downregulation of vegetation physiology such as stomatal conductance and light use efficiency, with the strongest downregulation in water-limited regions. Vegetation physiological decreases in wet regions also result in a discrepancy between functional and structural changes under severe drought. We find similar patterns of physiological drought response using simulations from a soil-plant-atmosphere continuum model coupled with a radiative transfer model. Observation-derived vegetation physiological responses to drought across space are mainly controlled by aridity and additionally modulated by abnormal hydro-meteorological conditions and vegetation types. Hence, isolating and quantifying vegetation physiological responses to drought enables a better understanding of ecosystem biogeochemical and biophysical feedback in modulating climate change. Vegetation resilience to drought is underlain by plant physiological responses. Here, the authors combine remote sensing data, explainable machine learning and model simulations to map global vegetation responses to drought linked to physiological processes such as stomatal regulation and light use efficiency.
Keywords
INDUCED CHLOROPHYLL FLUORESCENCE, REMOTE-SENSING DATA, SATELLITE-OBSERVATIONS, WATER, IMPACTS, LAND, PRODUCTIVITY, STRESS, GROWTH

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MLA
Li, Wantong, et al. “Widespread and Complex Drought Effects on Vegetation Physiology Inferred from Space.” NATURE COMMUNICATIONS, vol. 14, no. 1, 2023, doi:10.1038/s41467-023-40226-9.
APA
Li, W., Pacheco-Labrador, J., Migliavacca, M., Miralles, D., Hoek van Dijke, A., Reichstein, M., … Orth, R. (2023). Widespread and complex drought effects on vegetation physiology inferred from space. NATURE COMMUNICATIONS, 14(1). https://doi.org/10.1038/s41467-023-40226-9
Chicago author-date
Li, Wantong, Javier Pacheco-Labrador, Mirco Migliavacca, Diego Miralles, Anne Hoek van Dijke, Markus Reichstein, Matthias Forkel, et al. 2023. “Widespread and Complex Drought Effects on Vegetation Physiology Inferred from Space.” NATURE COMMUNICATIONS 14 (1). https://doi.org/10.1038/s41467-023-40226-9.
Chicago author-date (all authors)
Li, Wantong, Javier Pacheco-Labrador, Mirco Migliavacca, Diego Miralles, Anne Hoek van Dijke, Markus Reichstein, Matthias Forkel, Weijie Zhang, Christian Frankenberg, Annu Panwar, Qian Zhang, Ulrich Weber, Pierre Gentine, and Rene Orth. 2023. “Widespread and Complex Drought Effects on Vegetation Physiology Inferred from Space.” NATURE COMMUNICATIONS 14 (1). doi:10.1038/s41467-023-40226-9.
Vancouver
1.
Li W, Pacheco-Labrador J, Migliavacca M, Miralles D, Hoek van Dijke A, Reichstein M, et al. Widespread and complex drought effects on vegetation physiology inferred from space. NATURE COMMUNICATIONS. 2023;14(1).
IEEE
[1]
W. Li et al., “Widespread and complex drought effects on vegetation physiology inferred from space,” NATURE COMMUNICATIONS, vol. 14, no. 1, 2023.
@article{01HF6H42MA9DYXQDSNYGJFCHY2,
  abstract     = {{The response of vegetation physiology to drought at large spatial scales is poorly understood due to a lack of direct observations. Here, we study vegetation drought responses related to photosynthesis, evaporation, and vegetation water content using remotely sensed data, and we isolate physiological responses using a machine learning technique. We find that vegetation functional decreases are largely driven by the downregulation of vegetation physiology such as stomatal conductance and light use efficiency, with the strongest downregulation in water-limited regions. Vegetation physiological decreases in wet regions also result in a discrepancy between functional and structural changes under severe drought. We find similar patterns of physiological drought response using simulations from a soil-plant-atmosphere continuum model coupled with a radiative transfer model. Observation-derived vegetation physiological responses to drought across space are mainly controlled by aridity and additionally modulated by abnormal hydro-meteorological conditions and vegetation types. Hence, isolating and quantifying vegetation physiological responses to drought enables a better understanding of ecosystem biogeochemical and biophysical feedback in modulating climate change. Vegetation resilience to drought is underlain by plant physiological responses. Here, the authors combine remote sensing data, explainable machine learning and model simulations to map global vegetation responses to drought linked to physiological processes such as stomatal regulation and light use efficiency.}},
  articleno    = {{4640}},
  author       = {{Li, Wantong and  Pacheco-Labrador, Javier and  Migliavacca, Mirco and Miralles, Diego and  Hoek van Dijke, Anne and  Reichstein, Markus and  Forkel, Matthias and  Zhang, Weijie and  Frankenberg, Christian and  Panwar, Annu and  Zhang, Qian and  Weber, Ulrich and  Gentine, Pierre and  Orth, Rene}},
  issn         = {{2041-1723}},
  journal      = {{NATURE COMMUNICATIONS}},
  keywords     = {{INDUCED CHLOROPHYLL FLUORESCENCE,REMOTE-SENSING DATA,SATELLITE-OBSERVATIONS,WATER,IMPACTS,LAND,PRODUCTIVITY,STRESS,GROWTH}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{13}},
  title        = {{Widespread and complex drought effects on vegetation physiology inferred from space}},
  url          = {{http://doi.org/10.1038/s41467-023-40226-9}},
  volume       = {{14}},
  year         = {{2023}},
}
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