4.7 Article

Spring snow cover duration and tundra greenness in the Lena Delta, Siberia: two decades of MODIS satellite time series (2001-2021)

期刊

ENVIRONMENTAL RESEARCH LETTERS
卷 17, 期 8, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1748-9326/ac8066

关键词

Arctic vegetation; tundra; snow cover duration; NDVI; NDSI; MODIS; Lena Delta

资金

  1. German Federal Ministry of Education and Research (BMBF)
  2. Helmholtz Association Climate Initiative REKLIM
  3. Geo.X, a network for Geosciences in Berlin
  4. Geo.X, a network for Geosciences in Brandenburg
  5. Russian-German research program `Kohlenstoff im Permafrost KoPf ' (BMBF) [03F0764A]
  6. ERC [772852]
  7. European Research Council (ERC) [772852] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

This study investigates the variability of snow-cover duration and summer vegetation vitality in the Lena Delta using satellite data and observations. The results show that both snow cover and vegetation greenness are strongly influenced by climate change, and recent temperature increase has had a positive impact on vegetation.
The Lena Delta in Siberia is the largest delta in the Arctic and as a snow-dominated ecosystem particularly vulnerable to climate change. Using the two decades of MODerate resolution Imaging Spectroradiometer satellite acquisitions, this study investigates interannual and spatial variability of snow-cover duration and summer vegetation vitality in the Lena Delta. We approximated snow by the application of the normalized difference snow index and vegetation greenness by the normalized difference vegetation index (NDVI). We consolidated the analyses by integrating reanalysis products on air temperature from 2001 to 2021, and air temperature, ground temperature, and the date of snow-melt from time-lapse camera (TLC) observations from the Samoylov observatory located in the central delta. We extracted spring snow-cover duration determined by a latitudinal gradient. The 'regular year' snow-melt is transgressing from mid-May to late May within a time window of 10 days across the delta. We calculated yearly deviations per grid cell for two defined regions, one for the delta, and one focusing on the central delta. We identified an ensemble of early snow-melt years from 2012 to 2014, with snow-melt already starting in early May, and two late snow-melt years in 2004 and 2017, with snow-melt starting in June. In the times of TLC recording, the years of early and late snow-melt were confirmed. In the three summers after early snow-melt, summer vegetation greenness showed neither positive nor negative deviations. Whereas, vegetation greenness was reduced in 2004 after late snow-melt together with the lowest June monthly air temperature of the time series record. Since 2005, vegetation greenness is rising, with maxima in 2018 and 2021. The NDVI rise since 2018 is preceded by up to 4 degrees C warmer than average June air temperature. The ongoing operation of satellite missions allows to monitor a wide range of land surface properties and processes that will provide urgently needed data in times when logistical challenges lead to data gaps in land-based observations in the rapidly changing Arctic.

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