Linking fine-scale sub-arctic vegetation distribution in complex topography with surface-air-temperature modelled at 50-m resolution

Yang, Zhenlin and Sykes, Martin T. and 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

Full content URL: https://doi.org/10.1007/s13280-012-0307-0

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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 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.

Additional Information:Supplement 3
Keywords:air temperature, climate effect, complex terrain, deciduous forest, geographical distribution, meadow, mountain region, plant community, scale effect, snow cover, subarctic region, surface temperature, vegetation dynamics, wetland, Lapland Eurasia, Sweden, Arctic, article, biological model, computer simulation, demography, ecosystem, growth, development and aging, plant, Sweden, temperature, tree, Arctic Regions, Models, Biological, Plants, Trees
Subjects:F Physical Sciences > F330 Environmental Physics
Divisions:College of Science > School of Geography
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ID Code:26034
Deposited On:03 Mar 2017 12:05

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