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Climate drivers of Arctic tundra variability and change using an indicators framework

Bibliographic Data

ID15545304
AuthorsUma S Bhatt (0000-0003-1056-3686, University of Alaska Fairbanks, corresponding author), Donald A Walker (0000-0001-9581-7811, University of Alaska Fairbanks), Martha K Raynolds (0000-0003-0506-1737, University of Alaska Fairbanks), John E Walsh (0000-0001-9541-5927, University of Alaska Fairbanks), Peter A Bieniek (University of Alaska Fairbanks), Lei Cai (0000-0002-9251-2745, Yunnan University), Josefino C Comiso (0000-0002-0875-7433, Goddard Space Flight Center), Howard E Epstein (0000-0003-2817-4486, McCormick (United States)), Gerald V Frost (0000-0002-5134-0334, Alaska Biological Research (United States)), Robert Gersten (Goddard Space Flight Center), A Hendricks (0000-0003-2131-2647, University of Alaska Fairbanks), Amy S Hendricks, Jorge Enrique Dí­az Pinzón (0000-0002-8870-7769, Goddard Space Flight Center), Jorge E Pinzon, Larry Stock (0000-0003-2789-7367, Goddard Space Flight Center), Compton J Tucker (0000-0002-4366-112X), C Tucker (0000-0002-1851-3918, Goddard Space Flight Center)
Year2021
Volume16
Issue5
Pages055019-055019
Publication date2021-02-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/abe676
OpenAlexW3131802019
LanguageEN
Citations received2
References cited49

This study applies an indicators framework to investigate climate drivers of tundra vegetation trends and variability over the 1982–2019 period. Previously known indicators relevant for tundra productivity (summer warmth index (SWI), coastal spring sea-ice (SI) area, coastal summer open-water (OW)) and three additional indicators (continentality, summer precipitation, and the Arctic Dipole (AD): second mode of sea level pressure variability) are analyzed with maximum annual Normalized Difference Vegetation Index (MaxNDVI) and the sum of summer bi-weekly (time-integrated) NDVI (TI-NDVI) from the Advanced Very High Resolution Radiometer time-series. Climatological mean, trends, and correlations between variables are presented. Changes in SI continue to drive variations in the other indicators. As spring SI has decreased, summer OW, summer warmth, MaxNDVI, and TI-NDVI have increased. However, the initial very strong upward trends in previous studies for MaxNDVI and TI-NDVI are weakening and becoming spatially and temporally more variable as the ice retreats from the coastal areas. TI-NDVI has declined over the last decade particularly over High Arctic regions and southwest Alaska. The continentality index (CI) (maximum minus minimum monthly temperatures) is decreasing across the tundra, more so over North America than Eurasia. The relationship has weakened between SI and SWI and TI-NDVI, as the maritime influence of OW has increased along with total precipitation. The winter AD is correlated in Eurasia with spring SI, summer OW, MaxNDVI, TI-NDVI, the CI and total summer precipitation. This winter connection to tundra emphasizes the role of SI in driving the summer indicators. The winter (DJF) AD drives SI variations which in turn shape summer OW, the atmospheric SWI and NDVI anomalies. The winter and spring indicators represent potential predictors of tundra vegetation productivity a season or two in advance of the growing season

Advanced very-high-resolution radiometer · Arctic · Arctic vegetation · Climate change · Climatology · Geography · Meteorology · Normalized Difference Vegetation Index · Physical geography · Precipitation · Tundra · Vegetation (pathology · Arctic and Antarctic ice dynamics · Climate change and permafrost · Cryospheric studies and observations · Environmental Science · Geology · Oceanography

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Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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