Abstract
Significant changes in vegetation greenness and browning have been observed across the northern permafrost zone, with important implications for ecosystem functioning and carbon uptake. While recent research has improved our understanding of the drivers of greening, the processes behind browning – especially the low-stature shrubs and herbaceous vegetation, which is more directly exposed to soil and atmospheric moisture deficits – remain less clear. To characterize browning patterns, we integrate multiple remote sensing datasets – including normalized difference vegetation index (NDVI), solar-induced chlorophyll fluorescence (SIF), and foliar chlorophyll concentration (FCC) – with gross primary productivity (GPP) simulations from CMIP6 Earth system models (ESM). We identify significant browning trends (−0.033 to − 0.025 decade-1, from MODIS NDVI) from 2001 to 2018, affecting approximately 20 % (~600,000 km2) of the study region. Browning is primarily modulated by compound soil and atmospheric dryness, reflected by declining soil moisture concurrent with increasing vapor pressure deficit. We further show that regional warming and changes in precipitation, together with permafrost-related constraints on infiltration and storage, modulate the spatial heterogeneity of compound dryness. CMIP6 projections suggest that compound dryness is likely to persist or intensify in permafrost ecosystems, implying continued risk of productivity loss, especially when combined with pulse disturbances such as wildfires.
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Acknowledgements
We thank Dr. Zhanzhang Cai from Lund University for providing the MODIS phenology data extracted from TIMESAT, and Prof. Feng Tian for providing the processed SPOT-VGT data, as well as Dr. Mingzhu Xu for generating the FCC data.
Funding
This study is jointly supported by the National Key Research and Development Program of China (2024YFF0810900, M.W.), the National Natural Science Foundation of China (42525105, Y.R.; 42111530184, M.W.), the Fundamental Research Funds for the Central Universities (2026300415, M.W.) and the International Science and Technology Cooperation Program under the 2023 Shanghai Action Plan for Science, Technology and Innovation (23230712800, Y.Y.). O.S. acknowledges funding through the Canada Research Chair (award CRC-2018-00259) and NSERC Discovery Grants programs (award DGPIN-2018-05743). B.E. is supported from the Danish National Research Foundation (CENPERM DNRF100). M.J.L. is supported by NASA-ABoVE (80NSSC22K1254), NSF-EnvE (1928048), and DOE-TES (DE-SC0021094). H.W.C. is supported by ModElling the Regional and Global Earth system (MERGE) and STINT (CH2020-8799). W.Z. is supported by grants from the Swedish Research Council (VR 2020-0533) and the Swedish Strategic Research Areas Biodiversity and Ecosystem Services in a Changing Climate (BECC) and MERGE. C.P. is supported by the Joint Fund for Regional Innovation and Development of the National Science Foundation (U22A20570). D.C. is supported by Carbon Neutrality and Energy System Transformation (CNEST) Program and Tsinghua University (100008001).
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Wu, M., Sonnentag, O., Lara, M.J. et al. Vegetation browning patterns under compound soil and atmospheric dryness in northern permafrost ecosystems. Nat Commun (2026). https://doi.org/10.1038/s41467-026-75131-4
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DOI: https://doi.org/10.1038/s41467-026-75131-4


