Published August 15, 2023 | v1
Journal Article Open

Widespread and complex drought effects on vegetation physiology inferred from space

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.

Copyright and License

© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Acknowledgement

The authors thank Axel Kleidon, Alexandra G. Konings, Benjamin Dechant, Jacob Nelson, Martin Jung, and the Hydrology-Biosphere-Climate Interactions Group at the Max Planck Institute for Biogeochemistry for fruitful discussions. W.L. acknowledges support from the International Max Planck Research School for Global Biogeochemical Cycles. R.O. and A.J.H.v.D. are funded by the German Research Foundation (Emmy Noether grant number 391059971). Q.Z. is funded by the National Natural Science Foundation of China (Grant number. 42071392).

Contributions

W.L., R.O., and C.F. conceived the study concept. W.L., R.O., M.M., M.R., M.F., and C.F. developed the methods and designed the experiment. W.L. conducted data analyzes, visualized results, and wrote the manuscript with suggestions from R.O., D.M., and A.J.H.v.D. J.P.J conducted the SCOPE experiment with the suggestions from M.M. W.Z. contributed to eddy covariance data processing. A.P. derived the equation of the simplified surface energy balance model. U.W. contributed to a large part of pre-processing of observation-based datasets. W.L., R.O., and J.P.J. revised the manuscript based on critical comments from M.M., D.M., A.J.H.v.D., M.R., M.F., and P.G. throughout the manuscript. D.M., A.J.H.v.D., A.P., and Q.Z. contributed to text corrections and results interpretation.

Funding

Open Access funding enabled and organized by Projekt DEAL.

Data Availability

TROPOMI SIF is available at https://web.gps.caltech.edu/~cfranken/data.html. MOD15A2H LAI is from https://lpdaac.usgs.gov/products/mod15a2hv006/. MCD43C4 NIRv is from https://lpdaac.usgs.gov/products/mcd43c4v006/. MYD11C1 land surface temperature is from https://lpdaac.usgs.gov/products/myd11c1v006/. The ICOS-drought−2018 dataset can be downloaded from https://www.icos-cp.eu/data-products/YVR0-4898. LPDR v2 X-band VOD is available at http://files.ntsg.umt.edu/data/LPDR_v2/. ERA5-Land reanalysis data are from https://cds.climate.copernicus.eu/cdsapp#!/dataset/10.24381/cds.e2161bac?tab=overview. ESA CCI Landcover v2.1.1 is from https://www.esa-landcover-cci.org/. The irrigation fraction dataset is from http://www.fao.org/aquastat/en/geospatial-information/global-maps-irrigated-areas/latest-version/.

Code Availability

The codes required for reproducing the results and figures in the main text have been deposited at 10.5281/zenodo.7971319, as well as the data to run the codes are available at 10.5281/zenodo.7971170.

Conflict of Interest

The authors declare no competing interests

Attached Files

41467_2023_Article_40226.pdf - Published article

41467_2023_40226_MOESM1_ESM.pdf - Supplemental information

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Additional details

Created:
October 30, 2023
Modified:
October 30, 2023