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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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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1789974589683531776 |