Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution
Recent studies have shown that the complexities of the surface features in mountainous terrain require a re-assessment of climate impacts at the local level. We explored the importance of surface-air-temperature based on a recently published 50-m-gridded dataset, versus soil variables for explaining...
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Springer Verlag
2012
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ftulincoln:oai:eprints.lincoln.ac.uk:26034 2023-05-15T14:26:55+02:00 Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution Yang, Zhenlin Sykes, Martin T. Hanna, Edward Callaghan, Terry V. 2012-08-03 application/pdf https://eprints.lincoln.ac.uk/id/eprint/26034/ https://eprints.lincoln.ac.uk/id/eprint/26034/1/__network.uni_staff_S2_jpartridge_Downloads_art%253A10.1007%252Fs13280-012-0307-0.pdf https://doi.org/10.1007/s13280-012-0307-0 en eng Springer Verlag https://eprints.lincoln.ac.uk/id/eprint/26034/1/__network.uni_staff_S2_jpartridge_Downloads_art%253A10.1007%252Fs13280-012-0307-0.pdf Yang, Zhenlin, Sykes, Martin T., Hanna, Edward and Callaghan, Terry V. (2012) Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution. Ambio: a journal of the human environment, 41 (3). pp. 292-302. ISSN 0044-7447 doi:10.1007/s13280-012-0307-0 F330 Environmental Physics Article PeerReviewed 2012 ftulincoln https://doi.org/10.1007/s13280-012-0307-0 2022-03-02T20:07:06Z Recent studies have shown that the complexities of the surface features in mountainous terrain require a re-assessment of climate impacts at the local level. We explored the importance of surface-air-temperature based on a recently published 50-m-gridded dataset, versus soil variables for explaining vegetation distribution in Swedish Lapland using generalised linear models (GLMs). The results demonstrated that the current distribution of the birch forest and snowbed community strongly relied on the surface-air-temperature. However, temperature alone is a poor predictor of many plant communities (wetland, meadow). Because of diminishing sample representation with increasing altitude, the snowbed community was undersampled at higher altitudes. This results in underestimation of the current distribution of the snowbed community around the mountain summits. The analysis suggests that caution is warranted when applying GLMs at the local level. Copyright © Royal Swedish Academy of Sciences 2012. Article in Journal/Newspaper Arctic Arctic Lapland University of Lincoln: Lincoln Repository Arctic AMBIO 41 S3 292 302 |
institution |
Open Polar |
collection |
University of Lincoln: Lincoln Repository |
op_collection_id |
ftulincoln |
language |
English |
topic |
F330 Environmental Physics |
spellingShingle |
F330 Environmental Physics Yang, Zhenlin Sykes, Martin T. Hanna, Edward Callaghan, Terry V. Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution |
topic_facet |
F330 Environmental Physics |
description |
Recent studies have shown that the complexities of the surface features in mountainous terrain require a re-assessment of climate impacts at the local level. We explored the importance of surface-air-temperature based on a recently published 50-m-gridded dataset, versus soil variables for explaining vegetation distribution in Swedish Lapland using generalised linear models (GLMs). The results demonstrated that the current distribution of the birch forest and snowbed community strongly relied on the surface-air-temperature. However, temperature alone is a poor predictor of many plant communities (wetland, meadow). Because of diminishing sample representation with increasing altitude, the snowbed community was undersampled at higher altitudes. This results in underestimation of the current distribution of the snowbed community around the mountain summits. The analysis suggests that caution is warranted when applying GLMs at the local level. Copyright © Royal Swedish Academy of Sciences 2012. |
format |
Article in Journal/Newspaper |
author |
Yang, Zhenlin Sykes, Martin T. Hanna, Edward Callaghan, Terry V. |
author_facet |
Yang, Zhenlin Sykes, Martin T. Hanna, Edward Callaghan, Terry V. |
author_sort |
Yang, Zhenlin |
title |
Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution |
title_short |
Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution |
title_full |
Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution |
title_fullStr |
Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution |
title_full_unstemmed |
Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution |
title_sort |
linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution |
publisher |
Springer Verlag |
publishDate |
2012 |
url |
https://eprints.lincoln.ac.uk/id/eprint/26034/ https://eprints.lincoln.ac.uk/id/eprint/26034/1/__network.uni_staff_S2_jpartridge_Downloads_art%253A10.1007%252Fs13280-012-0307-0.pdf https://doi.org/10.1007/s13280-012-0307-0 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Lapland |
genre_facet |
Arctic Arctic Lapland |
op_relation |
https://eprints.lincoln.ac.uk/id/eprint/26034/1/__network.uni_staff_S2_jpartridge_Downloads_art%253A10.1007%252Fs13280-012-0307-0.pdf Yang, Zhenlin, Sykes, Martin T., Hanna, Edward and Callaghan, Terry V. (2012) Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution. Ambio: a journal of the human environment, 41 (3). pp. 292-302. ISSN 0044-7447 doi:10.1007/s13280-012-0307-0 |
op_doi |
https://doi.org/10.1007/s13280-012-0307-0 |
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AMBIO |
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41 |
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292 |
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