Evidence map›Paper›PMID 37582763›Full record

ArticleNature communications2023

Widespread and complex drought effects on vegetation physiology inferred from space.

Wantong Li, Javier Pacheco-Labrador, Mirco Migliavacca, Diego Miralles, Anne Hoek van Dijke, Markus Reichstein, Matthias Forkel, Weijie Zhang, Christian Frankenberg, Annu Panwar and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Wantong LiDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany. wantong@bgc-jena.mpg.de.ORCID 0000-0001-9861-4294
Javier Pacheco-LabradorDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0003-3401-7081
Mirco MigliavaccaEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.ORCID 0000-0003-3546-8407
Diego MirallesHydro-Climate Extremes Lab (H-CEL), Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.ORCID 0000-0001-6186-5751
Anne Hoek van DijkeDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0003-0354-8517
Markus ReichsteinDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0001-5736-1112
Matthias ForkelInstitute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0003-0363-9697
Weijie ZhangDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
Christian FrankenbergDivision of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA.ORCID 0000-0002-0546-5857
Annu PanwarDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
Qian ZhangSchool of Geomatics Science and Technology, Nanjing Tech University, Nanjing, China.ORCID 0000-0002-0860-4023
Ulrich WeberDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0001-7116-035X
Pierre GentineDepartment of Earth and Environmental Engineering, Columbia University, New York, NY, 10027, USA.ORCID 0000-0002-0845-8345
Rene OrthDepartment of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0002-9853-921X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DroughtsEcosystemAtmosphereClimate ChangePhotosynthesisWaterWater

Identifiers

PMID37582763
PMCPMC10427636

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.