Spatiotemporal snowmelt patterns within a high Arctic landscape, with implications for flora and fauna
Snow conditions are important drivers of the distribution and phenology of Arctic flora and fauna, but the extent and effects of local variation in snowmelt are still inadequately studied. We analyze snowmelt patterns within the Zackenberg valley in northeast Greenland. Drawing on landscape-level sn...
Published in: | Arctic, Antarctic, and Alpine Research |
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Language: | English |
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Taylor & Francis Group
2018
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Online Access: | https://doi.org/10.1080/15230430.2017.1415624 https://doaj.org/article/52263e5edc19423cbf8ad7e7d89ff8df |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:52263e5edc19423cbf8ad7e7d89ff8df 2023-05-15T14:14:19+02:00 Spatiotemporal snowmelt patterns within a high Arctic landscape, with implications for flora and fauna Tuomas Kankaanpää Kirstine Skov Nerea Abrego Magnus Lund Niels Martin Schmidt Tomas Roslin 2018-01-01 https://doi.org/10.1080/15230430.2017.1415624 https://doaj.org/article/52263e5edc19423cbf8ad7e7d89ff8df en eng Taylor & Francis Group 1523-0430 1938-4246 doi:10.1080/15230430.2017.1415624 https://doaj.org/article/52263e5edc19423cbf8ad7e7d89ff8df undefined Arctic, Antarctic, and Alpine Research, Vol 50, Iss 1 (2018) snowmelt spatiotemporal variability phenological mismatch high arctic climate change geo anthro-bio Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2018 fttriple https://doi.org/10.1080/15230430.2017.1415624 2023-01-22T17:49:39Z Snow conditions are important drivers of the distribution and phenology of Arctic flora and fauna, but the extent and effects of local variation in snowmelt are still inadequately studied. We analyze snowmelt patterns within the Zackenberg valley in northeast Greenland. Drawing on landscape-level snowmelt dates and meteorological data from a central climate station, we model snowmelt trends during 1998–2014. We then use time-lapse photographs to examine consistency in spatiotemporal snowmelt patterns during 2006–2014. Finally, we use monitoring data on arthropods and plants for 1998–2014 to investigate how snowmelt date affects the phenology of Arctic organisms. Despite large interannual variation in snowmelt timing, we find consistency in the relative order of snowmelt among sites within the landscape. With a slight overall advancement in snowmelt during the study period, early melting locations have advanced more than late-melting ones. Individual organism groups differ greatly in how their phenology shifts with snowmelt, with much variance attributable to variation in life history and diet. Overall, we note that local variation in snowmelt patterns may drive important ecological processes, and that more attention should be paid to variability within landscapes. Areas optimal for a given taxon vary between years, thereby creating spatial structure in a seemingly uniform landscape. Article in Journal/Newspaper Antarctic and Alpine Research Arctic Arctic Climate change Greenland Zackenberg Unknown Arctic Greenland Arctic, Antarctic, and Alpine Research 50 1 |
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Open Polar |
collection |
Unknown |
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fttriple |
language |
English |
topic |
snowmelt spatiotemporal variability phenological mismatch high arctic climate change geo anthro-bio |
spellingShingle |
snowmelt spatiotemporal variability phenological mismatch high arctic climate change geo anthro-bio Tuomas Kankaanpää Kirstine Skov Nerea Abrego Magnus Lund Niels Martin Schmidt Tomas Roslin Spatiotemporal snowmelt patterns within a high Arctic landscape, with implications for flora and fauna |
topic_facet |
snowmelt spatiotemporal variability phenological mismatch high arctic climate change geo anthro-bio |
description |
Snow conditions are important drivers of the distribution and phenology of Arctic flora and fauna, but the extent and effects of local variation in snowmelt are still inadequately studied. We analyze snowmelt patterns within the Zackenberg valley in northeast Greenland. Drawing on landscape-level snowmelt dates and meteorological data from a central climate station, we model snowmelt trends during 1998–2014. We then use time-lapse photographs to examine consistency in spatiotemporal snowmelt patterns during 2006–2014. Finally, we use monitoring data on arthropods and plants for 1998–2014 to investigate how snowmelt date affects the phenology of Arctic organisms. Despite large interannual variation in snowmelt timing, we find consistency in the relative order of snowmelt among sites within the landscape. With a slight overall advancement in snowmelt during the study period, early melting locations have advanced more than late-melting ones. Individual organism groups differ greatly in how their phenology shifts with snowmelt, with much variance attributable to variation in life history and diet. Overall, we note that local variation in snowmelt patterns may drive important ecological processes, and that more attention should be paid to variability within landscapes. Areas optimal for a given taxon vary between years, thereby creating spatial structure in a seemingly uniform landscape. |
format |
Article in Journal/Newspaper |
author |
Tuomas Kankaanpää Kirstine Skov Nerea Abrego Magnus Lund Niels Martin Schmidt Tomas Roslin |
author_facet |
Tuomas Kankaanpää Kirstine Skov Nerea Abrego Magnus Lund Niels Martin Schmidt Tomas Roslin |
author_sort |
Tuomas Kankaanpää |
title |
Spatiotemporal snowmelt patterns within a high Arctic landscape, with implications for flora and fauna |
title_short |
Spatiotemporal snowmelt patterns within a high Arctic landscape, with implications for flora and fauna |
title_full |
Spatiotemporal snowmelt patterns within a high Arctic landscape, with implications for flora and fauna |
title_fullStr |
Spatiotemporal snowmelt patterns within a high Arctic landscape, with implications for flora and fauna |
title_full_unstemmed |
Spatiotemporal snowmelt patterns within a high Arctic landscape, with implications for flora and fauna |
title_sort |
spatiotemporal snowmelt patterns within a high arctic landscape, with implications for flora and fauna |
publisher |
Taylor & Francis Group |
publishDate |
2018 |
url |
https://doi.org/10.1080/15230430.2017.1415624 https://doaj.org/article/52263e5edc19423cbf8ad7e7d89ff8df |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Antarctic and Alpine Research Arctic Arctic Climate change Greenland Zackenberg |
genre_facet |
Antarctic and Alpine Research Arctic Arctic Climate change Greenland Zackenberg |
op_source |
Arctic, Antarctic, and Alpine Research, Vol 50, Iss 1 (2018) |
op_relation |
1523-0430 1938-4246 doi:10.1080/15230430.2017.1415624 https://doaj.org/article/52263e5edc19423cbf8ad7e7d89ff8df |
op_rights |
undefined |
op_doi |
https://doi.org/10.1080/15230430.2017.1415624 |
container_title |
Arctic, Antarctic, and Alpine Research |
container_volume |
50 |
container_issue |
1 |
_version_ |
1766286849551106048 |