Inclusion of local environmental conditions alters high-latitude vegetation change predictions based on bioclimatic models

• Published in: Polar biology 2011-06, Vol.34 (6), p.883-897
• Main Authors: Sormunen, Henna, Virtanen, Risto, Luoto, Miska
• Format: Article
• Language: English
• Subjects: Analysis; Animal and plant ecology; Animal, plant and microbial ecology; Bioclimatology; Biological and medical sciences; Biomedical and Life Sciences; Climate change; Climate science; Climatology. Bioclimatology. Climate change; Demecology; Earth, ocean, space; Ecology; Environmental aspects; Environmental conditions; Environmental quality; Exact sciences and technology; External geophysics; Fundamental and applied biological sciences. Psychology; Global temperature changes; Life Sciences; Meteorology; Microbiology; Oceanography; Original Paper; Particular ecosystems; Plant Sciences; Plants and fungi; Soils; Synecology; Topography; Vegetation; Zoology
• ISSN: 0722-4060; 1432-2056
• DOI: 10.1007/s00300-010-0945-2

Current predictions of how species will respond to climate change are typically based on coarse-grained climate surfaces utilizing bioclimate envelope modelling. However, the suitability of environmental conditions for a given species might result from a variety of factors including some unrelated to climate. To address this issue, we investigated whether the inclusion of topographical and soil information in bioclimatic envelope models would significantly alter predictions of climate change—induced fine-scale tree and shrub species range size changes at the tree-limit in subarctic Europe. Using generalized additive models and data on current climate and species distributions and three different climate scenarios for the period 2040–2069, we developed predictions of the currently suitable area and potential range size changes of seven tree and shrub species in an area of 1,100 km 2 at a resolution of 1-ha. The inclusion of topography and soil information increased the predictive accuracy of climate-only models for all studied species. The predicted changes in species distribution volumes were contradictory, and the predicted occurrences varied greatly depending on the model used. Our results therefore support the arguments that vegetation responses to climate change can be influenced by local environmental conditions and that attention should be paid to the combined effects of these factors. We conclude that disregarding local topography and soil conditions in bioclimatic models may result in biased projections of range expansions and the associated colonization, extinction and turnover assessments.