Evidence map›Paper›PMID 41730109›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Accelerated north-east shift of the global green wave trajectory.

Miguel D Mahecha, Guido Kraemer, Martin Reinhardt, David Montero, Fabian Gans, Ana Bastos, Hannes Feilhauer, Ida Flik, Chaonan Ji, Teja Kattenborn and 8 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 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

18 authors.

Miguel D MahechaInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.ORCID 0000-0003-3031-613X
Guido KraemerInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.ORCID 0000-0003-4865-5041
Martin ReinhardtInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.ORCID 0000-0002-1213-5135
David MonteroInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.ORCID 0000-0002-9010-3286
Fabian GansMax Planck Institute for Biogeochemistry, Jena 07701, Germany.ORCID 0000-0001-9614-0435
Ana BastosInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.ORCID 0000-0002-7368-7806
Hannes FeilhauerInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.ORCID 0000-0001-5758-6303
Ida FlikInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.ORCID 0009-0000-8166-3647
Chaonan JiInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.
Teja KattenbornChair of Sensor-based Geoinformatics, University of Freiburg, Freiburg 79085, Germany.
Mirco MigliavaccaEuropean Commission, Joint Research Centre, Ispra 21027, Italy.ORCID 0000-0003-3546-8407
Milena MönksInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.ORCID 0000-0002-1603-1173
Johannes QuaasGerman Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig 04103, Germany.
Sebastian SippelLeipzig Institute for Meteorology, Leipzig University, Leipzig 04109, Germany.
Sophia WaltherMax Planck Institute for Biogeochemistry, Jena 07701, Germany.
Sebastian WienekeInstitute for Earth System Science and Remote Sensing, Leipzig University, Leipzig 04109, Germany.
Christian WirthGerman Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig 04103, Germany.
Gustau Camps-VallsImage Processing Laboratory, Universitat de València, Valencia 46010, Spain.ORCID 0000-0003-1683-2138

Funding

European Space Agency (ESA) DeepESDL DeepFeatures
6 · The paper itself

Abstract

Viewed from space, a "green wave" seasonally traverses Earth's surface, from the north in boreal summer to the south in austral summer. This wave represents vegetation phenology, driven primarily by solar irradiation and modulated by climate variability and ecosystem dynamics. Despite its significance for multiple Earth system processes, we lack a unified metric to characterize and understand its dynamics. Here, we propose a concept to quantify global phenology by tracking the green wave's centroid using satellite and Earth system model data. The resulting trajectory summarizes global phenological dynamics and directional trends. Earlier reports on global greening led us to hypothesize a rapidly northward shifting trajectory during boreal summer and a moderate southward shift during austral summer. Contrary to this expectation, we find that the centroid moves northward during both summer periods, with the austral summer shift consistently exceeding the boreal shift across datasets. As a consequence, the amplitude of the green wave trajectory is decreasing, a trend projected to intensify throughout this century. We also detect an accelerating eastward shift, a phenomenon not previously reported. Tracking the green wave's centroid reveals how regionally changing land dynamics affect the global functioning of Earth's terrestrial biosphere.

Indexed as

climate change impactsglobal greeninggreen wave trajectorymacrophenology

Identifiers

PMID41730109
PMCPMC12956857

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LicenceCC BY
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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.