Evidence map›Paper›PMID 42829382›Full record

ArticleNature communications2026

Global climate impact of land-surface change driven by radiative effects.

Philipp de Vrese, Victor Brovkin, Moritz Günther, Sarah M Kang, Thomas Raddatz, Wim Thiery, Yi Yao

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Philipp de VreseClimate Dynamics, Max Planck Institute for Meteorology, Bundesstrasse 53, Hamburg, Germany. philipp.de-vrese@mpimet.mpg.de.ORCID http://orcid.org/0000-0002-8813-7436
Victor BrovkinClimate Dynamics, Max Planck Institute for Meteorology, Bundesstrasse 53, Hamburg, Germany.ORCID http://orcid.org/0000-0001-6420-3198
Moritz GüntherClimate Dynamics, Max Planck Institute for Meteorology, Bundesstrasse 53, Hamburg, Germany.ORCID http://orcid.org/0000-0003-2719-4821
Sarah M KangClimate Dynamics, Max Planck Institute for Meteorology, Bundesstrasse 53, Hamburg, Germany.ORCID http://orcid.org/0000-0003-4635-275X
Thomas RaddatzClimate Dynamics, Max Planck Institute for Meteorology, Bundesstrasse 53, Hamburg, Germany.
Wim ThieryDepartment of Water and Climate, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, Belgium.ORCID http://orcid.org/0000-0002-5183-6145
Yi YaoInstitute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-2212-2394

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101076909EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 951288
6 · The paper itself

Abstract

A robust proportionality between radiative forcing and global-mean temperature has been established for most climate drivers. However, land-surface changes are considered an exception due to their potential to alter surface hydrology, introducing non-radiative effects that may rival those from surface albedo changes. Here, comparing Earth-system-model simulations with large-scale perturbations of surface albedo and water availability, we find that the spatially integrated biophysical climate impact is similarly dominated by radiative processes and scales approximately linearly with the resulting shifts in planetary albedo, implying a  ~ 0.4 K surface temperature response per W m

Identifiers

PMID42829382
PMCPMC13634050

What OpenQuestion holds

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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.