Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013
Climate-induced changes in vegetation phenology at northern latitudes are still poorly understood. Continued monitoring and research are therefore needed to improve the understanding of abiotic drivers. Here we used 14 years of time lapse imagery and climate data from high-Arctic Northeast Greenland...
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ftpubmed:oai:pubmedcentral.nih.gov:5258658 2023-05-15T14:56:18+02:00 Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 Westergaard-Nielsen, Andreas Lund, Magnus Pedersen, Stine Højlund Schmidt, Niels Martin Klosterman, Stephen Abermann, Jakob Hansen, Birger Ulf 2017-01-23 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5258658/ http://www.ncbi.nlm.nih.gov/pubmed/28116683 https://doi.org/10.1007/s13280-016-0864-8 en eng Springer Netherlands http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5258658/ http://www.ncbi.nlm.nih.gov/pubmed/28116683 http://dx.doi.org/10.1007/s13280-016-0864-8 © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. CC-BY Article Text 2017 ftpubmed https://doi.org/10.1007/s13280-016-0864-8 2017-02-12T01:02:47Z Climate-induced changes in vegetation phenology at northern latitudes are still poorly understood. Continued monitoring and research are therefore needed to improve the understanding of abiotic drivers. Here we used 14 years of time lapse imagery and climate data from high-Arctic Northeast Greenland to assess the seasonal response of a dwarf shrub heath, grassland, and fen, to inter-annual variation in snow-cover, soil moisture, and air and soil temperatures. A late snow melt and start of growing season is counterbalanced by a fast greenup and a tendency to higher peak greenness values. Snow water equivalents and soil moisture explained up to 77 % of growing season duration and senescence phase, highlighting that water availability is a prominent driver in the heath site, rather than temperatures. We found a significant advance in the start of spring by 10 days and in the end of fall by 11 days, resulting in an unchanged growing season length. Vegetation greenness, derived from the imagery, was correlated to primary productivity, showing that the imagery holds valuable information on vegetation productivity. Text Arctic Greenland PubMed Central (PMC) Arctic Greenland Ambio 46 S1 39 52 |
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Article Westergaard-Nielsen, Andreas Lund, Magnus Pedersen, Stine Højlund Schmidt, Niels Martin Klosterman, Stephen Abermann, Jakob Hansen, Birger Ulf Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 |
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Article |
description |
Climate-induced changes in vegetation phenology at northern latitudes are still poorly understood. Continued monitoring and research are therefore needed to improve the understanding of abiotic drivers. Here we used 14 years of time lapse imagery and climate data from high-Arctic Northeast Greenland to assess the seasonal response of a dwarf shrub heath, grassland, and fen, to inter-annual variation in snow-cover, soil moisture, and air and soil temperatures. A late snow melt and start of growing season is counterbalanced by a fast greenup and a tendency to higher peak greenness values. Snow water equivalents and soil moisture explained up to 77 % of growing season duration and senescence phase, highlighting that water availability is a prominent driver in the heath site, rather than temperatures. We found a significant advance in the start of spring by 10 days and in the end of fall by 11 days, resulting in an unchanged growing season length. Vegetation greenness, derived from the imagery, was correlated to primary productivity, showing that the imagery holds valuable information on vegetation productivity. |
format |
Text |
author |
Westergaard-Nielsen, Andreas Lund, Magnus Pedersen, Stine Højlund Schmidt, Niels Martin Klosterman, Stephen Abermann, Jakob Hansen, Birger Ulf |
author_facet |
Westergaard-Nielsen, Andreas Lund, Magnus Pedersen, Stine Højlund Schmidt, Niels Martin Klosterman, Stephen Abermann, Jakob Hansen, Birger Ulf |
author_sort |
Westergaard-Nielsen, Andreas |
title |
Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 |
title_short |
Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 |
title_full |
Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 |
title_fullStr |
Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 |
title_full_unstemmed |
Transitions in high-Arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 |
title_sort |
transitions in high-arctic vegetation growth patterns and ecosystem productivity tracked with automated cameras from 2000 to 2013 |
publisher |
Springer Netherlands |
publishDate |
2017 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5258658/ http://www.ncbi.nlm.nih.gov/pubmed/28116683 https://doi.org/10.1007/s13280-016-0864-8 |
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Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland |
genre_facet |
Arctic Greenland |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5258658/ http://www.ncbi.nlm.nih.gov/pubmed/28116683 http://dx.doi.org/10.1007/s13280-016-0864-8 |
op_rights |
© The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
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CC-BY |
op_doi |
https://doi.org/10.1007/s13280-016-0864-8 |
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