Advanced

Linking Fine-Scale Sub-Arctic Vegetation Distribution in Complex Topography with Surface-Air-Temperature Modelled at 50-m Resolution

Yang, Zhenlin LU ; Sykes, Martin LU ; Hanna, Edward and Callaghan, Terry V. (2012) In Ambio 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:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Generalised linear model, Mountains, Vegetation distribution, Swedish, sub-arctic, Scale
in
Ambio
volume
41
pages
292 - 302
publisher
Springer
external identifiers
  • wos:000307285200012
  • scopus:84867460257
ISSN
0044-7447
DOI
10.1007/s13280-012-0307-0
project
BECC
language
English
LU publication?
yes
id
66f7f69d-d583-4ef4-8ecb-0d0556bd1d18 (old id 3073208)
date added to LUP
2012-09-26 07:43:04
date last changed
2017-06-11 04:01:26
@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},
  keyword      = {Generalised linear model,Mountains,Vegetation distribution,Swedish,sub-arctic,Scale},
  language     = {eng},
  pages        = {292--302},
  publisher    = {Springer},
  series       = {Ambio},
  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},
  volume       = {41},
  year         = {2012},
}