A fine‐scaled predictive model for changes in species distribution patterns of high mountain plants induced by climate warming

Induced by global warming, mountain plant species are migrating upwards. Species inhabiting the nival zone of today are threatened by competitors which move from the alpine zone towards the summits. The manner in which species move depends on their abilities to cope with microtopographical situations. We present a spatially explicit predictive model which draws scenarios of future species distribution patterns at a typical high mountain of the European Alps. The altitudinal temperature gradient is examined. Based on the lapse rate and on definitions of topographical niches of species, a +1 °C‐ and a +2 °C‐warming scenario are modelled using a fine‐scaled digital elevation model. Nival species will lose area and become restricted to specific topographical situations. Alpine and subnival grassland species are predicted to expand their area, mainly along stable surface situations. Whether the migration will take place as a filling or a moving process is specific to the particular species. Overall, biodiversity is apparently not threatened on the decadal scale. In special cases, however, genetic losses are likely both on a local and on a regional scale.

[1]  G. Grabherr,et al.  Vascular plant distribution patterns at the low temperature limits of plant life - the alpine-nival ecotone of Mount Schrankogel (Tyrol, Austria) , 1999 .

[2]  Michael Gottfried,et al.  Prediction of Vegetation Patterns at the Limits of Plant Life: A New View of the Alpine-Nival Ecotone , 1998 .

[3]  Angela Lee,et al.  Perspectives on … Environmental Systems Research Institute, Inc , 1997 .

[4]  G. Grabherr,et al.  Effects of climate change on mountain ecosystems -- Upward shifting of alpine plants , 1996 .

[5]  C. Körner,et al.  Responses to recent climatewarming of Pinus sylvestris and Pinus cembra within their montane transition zone in the Swiss Alps , 1995 .

[6]  G. Grabherr,et al.  Patterns and Current Changes in Alpine Plant Diversity , 1995 .

[7]  C. Körner Alpine Plant Diversity: A Global Survey and Functional Interpretations , 1995 .

[8]  G. Grabherr,et al.  Climate effects on mountain plants , 1994, Nature.

[9]  F. Holtmeier ECOLOGICAL ASPECTS OF CLIMATICALLY-CAUSED TIMBERLINE FLUCTUATIONS , 1994 .

[10]  R. Leemans,et al.  Comparing global vegetation maps with the Kappa statistic , 1992 .

[11]  S. Nilsson,et al.  Mountain World in Danger: Climate Change in the Forests and Mountains of Europe , 1991 .

[12]  R. Crawford,et al.  Studies in Plant Survival. , 1989 .

[13]  C.J.F. ter Braak,et al.  CANOCO - a FORTRAN program for canonical community ordination by [partial] [etrended] [canonical] correspondence analysis, principal components analysis and redundancy analysis (version 2.1) , 1988 .

[14]  C. Braak Canonical Correspondence Analysis: A New Eigenvector Technique for Multivariate Direct Gradient Analysis , 1986 .

[15]  Prof. Dr. Walter Tranquillini Physiological Ecology of the Alpine Timberline , 1979, Ecological Studies.

[16]  R. Pielke,et al.  Use of Mesoscale Climatology in Mountainous Terrain to Improve the Spatial Representation of Mean Monthly Temperatures , 1977 .

[17]  Áskell Löve,et al.  Liste der Gefasspflanzen Mitteleuropas. , 1974 .

[18]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .

[19]  J. Braun-Blanquet Ein Jahrhundert Florenwandel am Piz Linard (3414 m) , 1957 .