Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012)

Arctic ecosystems have been afflicted by vast changes in recent decades. Changes in temperature, as well as precipitation, are having an impact on snow cover, vegetation productivity and coverage, vegetation seasonality, surface albedo, and permafrost dynamics. The coupled climate-vegetation change...

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Published in:Remote Sensing
Main Authors: Urban, M., Forkel, M., Eberle, J., Huttich, C., Schmullius, C., Herold, M.
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Online Access:https://research.wur.nl/en/publications/pan-arctic-climate-and-land-cover-trends-derived-from-multi-varia
https://doi.org/10.3390/rs6032296
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spelling ftunivwagenin:oai:library.wur.nl:wurpubs/452025 2024-02-04T09:52:27+01:00 Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012) Urban, M. Forkel, M. Eberle, J. Huttich, C. Schmullius, C. Herold, M. 2014 application/pdf https://research.wur.nl/en/publications/pan-arctic-climate-and-land-cover-trends-derived-from-multi-varia https://doi.org/10.3390/rs6032296 en eng https://edepot.wur.nl/296787 https://research.wur.nl/en/publications/pan-arctic-climate-and-land-cover-trends-derived-from-multi-varia doi:10.3390/rs6032296 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research Remote Sensing 6 (2014) 3 ISSN: 2072-4292 northern siberia orbital drift photosynthetic trends radiometer data shrub expansion snow water equivalent space-time climate surface temperature tundra vegetation info:eu-repo/semantics/article Article/Letter to editor info:eu-repo/semantics/publishedVersion 2014 ftunivwagenin https://doi.org/10.3390/rs6032296 2024-01-10T23:19:43Z Arctic ecosystems have been afflicted by vast changes in recent decades. Changes in temperature, as well as precipitation, are having an impact on snow cover, vegetation productivity and coverage, vegetation seasonality, surface albedo, and permafrost dynamics. The coupled climate-vegetation change in the arctic is thought to be a positive feedback in the Earth system, which can potentially further accelerate global warming. This study focuses on the co-occurrence of temperature, precipitation, snow cover, and vegetation greenness trends between 1981 and 2012 in the pan-arctic region based on coarse resolution climate and remote sensing data, as well as ground stations. Precipitation significantly increased during summer and fall. Temperature had the strongest increase during the winter months (twice than during the summer months). The snow water equivalent had the highest trends during the transition seasons of the year. Vegetation greenness trends are characterized by a constant increase during the vegetation-growing period. High spatial resolution remote sensing data were utilized to map structural vegetation changes between 1973 and 2012 for a selected test region in Northern Siberia. An intensification of woody vegetation cover at the taiga-tundra transition area was found. The observed co-occurrence of climatic and ecosystem changes is an example of the multi-scale feedbacks in the arctic ecosystems. Article in Journal/Newspaper albedo Arctic Arctic Global warming permafrost taiga Tundra Siberia Wageningen UR (University & Research Centre): Digital Library Arctic Remote Sensing 6 3 2296 2316
institution Open Polar
collection Wageningen UR (University & Research Centre): Digital Library
op_collection_id ftunivwagenin
language English
topic northern siberia
orbital drift
photosynthetic trends
radiometer data
shrub expansion
snow water equivalent
space-time climate
surface temperature
tundra
vegetation
spellingShingle northern siberia
orbital drift
photosynthetic trends
radiometer data
shrub expansion
snow water equivalent
space-time climate
surface temperature
tundra
vegetation
Urban, M.
Forkel, M.
Eberle, J.
Huttich, C.
Schmullius, C.
Herold, M.
Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012)
topic_facet northern siberia
orbital drift
photosynthetic trends
radiometer data
shrub expansion
snow water equivalent
space-time climate
surface temperature
tundra
vegetation
description Arctic ecosystems have been afflicted by vast changes in recent decades. Changes in temperature, as well as precipitation, are having an impact on snow cover, vegetation productivity and coverage, vegetation seasonality, surface albedo, and permafrost dynamics. The coupled climate-vegetation change in the arctic is thought to be a positive feedback in the Earth system, which can potentially further accelerate global warming. This study focuses on the co-occurrence of temperature, precipitation, snow cover, and vegetation greenness trends between 1981 and 2012 in the pan-arctic region based on coarse resolution climate and remote sensing data, as well as ground stations. Precipitation significantly increased during summer and fall. Temperature had the strongest increase during the winter months (twice than during the summer months). The snow water equivalent had the highest trends during the transition seasons of the year. Vegetation greenness trends are characterized by a constant increase during the vegetation-growing period. High spatial resolution remote sensing data were utilized to map structural vegetation changes between 1973 and 2012 for a selected test region in Northern Siberia. An intensification of woody vegetation cover at the taiga-tundra transition area was found. The observed co-occurrence of climatic and ecosystem changes is an example of the multi-scale feedbacks in the arctic ecosystems.
format Article in Journal/Newspaper
author Urban, M.
Forkel, M.
Eberle, J.
Huttich, C.
Schmullius, C.
Herold, M.
author_facet Urban, M.
Forkel, M.
Eberle, J.
Huttich, C.
Schmullius, C.
Herold, M.
author_sort Urban, M.
title Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012)
title_short Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012)
title_full Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012)
title_fullStr Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012)
title_full_unstemmed Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012)
title_sort pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012)
publishDate 2014
url https://research.wur.nl/en/publications/pan-arctic-climate-and-land-cover-trends-derived-from-multi-varia
https://doi.org/10.3390/rs6032296
geographic Arctic
geographic_facet Arctic
genre albedo
Arctic
Arctic
Global warming
permafrost
taiga
Tundra
Siberia
genre_facet albedo
Arctic
Arctic
Global warming
permafrost
taiga
Tundra
Siberia
op_source Remote Sensing 6 (2014) 3
ISSN: 2072-4292
op_relation https://edepot.wur.nl/296787
https://research.wur.nl/en/publications/pan-arctic-climate-and-land-cover-trends-derived-from-multi-varia
doi:10.3390/rs6032296
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/
Wageningen University & Research
op_doi https://doi.org/10.3390/rs6032296
container_title Remote Sensing
container_volume 6
container_issue 3
container_start_page 2296
op_container_end_page 2316
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