Linking Fine-Scale Sub-Arctic Vegetation Distribution in Complex Topography with Surface-Air-Temperature Modelled at 50-m Resolution
(2012) In Ambio: a Journal of the Human Environment 41. p.292-302- Abstract
- 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 under-sampled at higher... (More)
- 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 under-sampled 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3073208
- author
- Yang, Zhenlin LU ; Sykes, Martin LU ; Hanna, Edward and Callaghan, Terry V.
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Generalised linear model, Mountains, Vegetation distribution, Swedish, sub-arctic, Scale
- in
- Ambio: a Journal of the Human Environment
- volume
- 41
- pages
- 292 - 302
- publisher
- Springer
- external identifiers
-
- wos:000307285200012
- scopus:84867460257
- pmid:22864702
- ISSN
- 0044-7447
- DOI
- 10.1007/s13280-012-0307-0
- language
- English
- LU publication?
- yes
- id
- 66f7f69d-d583-4ef4-8ecb-0d0556bd1d18 (old id 3073208)
- date added to LUP
- 2016-04-01 13:12:25
- date last changed
- 2024-01-09 09:05:22
@article{66f7f69d-d583-4ef4-8ecb-0d0556bd1d18, abstract = {{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 under-sampled 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.}}, author = {{Yang, Zhenlin and Sykes, Martin and Hanna, Edward and Callaghan, Terry V.}}, issn = {{0044-7447}}, keywords = {{Generalised linear model; Mountains; Vegetation distribution; Swedish; sub-arctic; Scale}}, language = {{eng}}, pages = {{292--302}}, publisher = {{Springer}}, series = {{Ambio: a Journal of the Human Environment}}, title = {{Linking Fine-Scale Sub-Arctic Vegetation Distribution in Complex Topography with Surface-Air-Temperature Modelled at 50-m Resolution}}, url = {{http://dx.doi.org/10.1007/s13280-012-0307-0}}, doi = {{10.1007/s13280-012-0307-0}}, volume = {{41}}, year = {{2012}}, }