Journal
ENVIRONMENTAL RESEARCH LETTERS
Volume 6, Issue 1, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1748-9326/6/1/014013
Keywords
alpine-nival ecotone; altitudinal species ranges; climate change; temperature sensitivity; high mountain vegetation; nivality index; snow duration; state function; probabilistic model
Funding
- University of Vienna
- Austrian Academy of Sciences/IGF
- Austrian Federal Ministry of Science and Research
- MAVA Foundation for Nature Conservation
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The alpine-nival ecotone is the transition between the lower located alpine grassland/tundra zone and the upper located sparsely vegetated nival zone in the mountains. Its characteristics are qualitatively known. Here we study the dynamics of the ecotone through a quantitative approach based on plant data (from Mt Schrankogel, 3497 m, observations 1994 and 2004) and snow data (from 268 routine climate stations in the Alps, observations 1975-2004). We introduce the nivality index as the area ratio of nival and alpine plants, and the snow duration as the length of the summer snow cover. We fit a nonlinear probabilistic model to our field data; it yields state functions of both quantities. The nivality index curve comprises the entire information of the plant data in one analytical function; the snow duration curve represents the equivalent for the full snow data set. Thus all relevant parameters of both quantities follow from the respective state function. We find that the analytical profile of the alpine-nival ecotone at Mt Schrankogel (based on nivality index observations from the altitude interval 2910-3090 m) happens to sit right in the center of the independently determined summer snow profile across the entire Alps; specifically, the central altitude of the Schrankogel ecotone coincides almost perfectly with the central altitude of Alpine(5) snow duration. Both state functions show extreme temperature sensitivity at 2967 m (vegetation) and 2897 m (snow), and both altitudes exhibit a positive trend during the measurement period.
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