Introduction of Snow and Geomorphic Disturbance Variables into Predictive Models of Alpine Plant Distribution in the Western Swiss Alps

Randin, C. F. and Vuissoz, G. and Liston, G. E. and Vittoz, P. and Guisan, A.. (2009) Introduction of Snow and Geomorphic Disturbance Variables into Predictive Models of Alpine Plant Distribution in the Western Swiss Alps. Arctic, Antarctic, and Alpine Research, 41 (3). pp. 347-361.

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Official URL: http://edoc.unibas.ch/46765/

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Indirect topographic variables have been used successfully its surrogates for disturbance processes in plant species distribution models (SDM) in Mountain environments. However, no SDM Studies have directly tested the performance of disturbance variables. In this study, we developed two disturbance variables: it geomorphic index (GEO) and all index of snow redistribution by wind (SNOW). These were developed in order to assess how they improved both the fit and predictive power of presence-absence SDM based On commonly used topoclimatic (TC) variables for 91 plants in the Western Swiss Alps. The individual Contribution of the disturbance variables was compared to TC variables. Maps of models were prepared to spatially test the effect of disturbance variables. On average, disturbance variables significantly improved the fin but not the predictive power of the TC models and their individual contribution was weak (5.6% for GEO and 3.3% for SNOW). However their maximum individual contribution was important (24.7% and 20.7%). Finally, maps including disturbance variables (i) were significantly divergent from TC models in terms of predicted suitable surfaces and connectivity between potential habitats, and (ii) were interpreted its more ecologically relevant. Disturbance variables did not improve the transferability of models in the local scale in a complex mountain system, and the performance and contribution Of these variables were highly species-specific. However, improved spatial projections and change in connectivity are important issues When preparing projections under climate change because the future range size of the species win determine the sensitivity to changing conditions.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Ehemalige Einheiten Umweltwissenschaften > Pflanzenökologie (Körner)
UniBasel Contributors:Randin, Christophe
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Institute of Arctic and Alpine Research [of the] University of Colorado
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:29 Nov 2017 08:08
Deposited On:29 Nov 2017 08:08

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