Accelerated north–east shift of the global green wave trajectory

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.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-02-23
DOI
https://doi.org/10.1073/pnas.2515835123
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Accelerated north–east shift of the global green wave trajectory

Hannes Feilhauer, Sebastian Wieneke, Chaonan Ji, Ana Bastos et al.
Proceedings of the National Academy of Sciences
Remote Sensing in Agriculture
article

Accelerated north–east shift of the global green wave trajectory

Hannes Feilhauer, Sebastian Wieneke, Chaonan Ji, Ana Bastos, Fabian Gans, Martin Wirth, Sophia Walther, Milena Mönks, Ida Flik, David Montero, Johannes Quaas, Teja Kattenborn, Miguel D. Mahecha, Mirco Migliavacca, Gustau Camps-Valls, Martin Reinhardt, Guido Kraemer, Sebastian Sippel
article en

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.

Proceedings of the National Academy of SciencesVol. 123(9)
Helmholtz Association of German Research Centres (DE), Helmholtz Centre for Environmental Research (DE), Universitat de València (ES), University of Freiburg (DE), European Commission (BE), German Centre for Integrative Biodiversity Research (DE), Center For Remote Sensing (United States) (US), Helmholtz Centre for Infection Research (DE), Max Planck Institute for Biogeochemistry (DE), GeoInformation (United Kingdom) (GB), Max Planck Institute for Meteorology (DE), Center for Scalable Data Analytics and Artificial Intelligence (DE), Leipzig University (DE)
Climate action
Openalex Percentile: Top 53%
Remote Sensing in Agriculture
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