Introduction of Snow and Geomorphic Disturbance Variables into Predictive Models of Alpine Plant Distribution in the Western Swiss Alps
- 1 August 2009
- journal article
- review article
- Published by Informa UK Limited in Arctic, Antarctic, and Alpine Research
- Vol. 41 (3), 347-361
- https://doi.org/10.1657/1938-4246-41.3.347
Abstract
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.Keywords
This publication has 76 references indexed in Scilit:
- Remote sensing‐based predictors improve distribution models of rare, early successional and broadleaf tree species in UtahJournal of Applied Ecology, 2007
- GIS-based modelling of rock-ice avalanches from Alpine permafrost areasComputational Geosciences, 2006
- MAPPING THE FUNDAMENTAL NICHE: PHYSIOLOGY, CLIMATE, AND THE DISTRIBUTION OF A NOCTURNAL LIZARDEcology, 2004
- Extinction risk from climate changeNature, 2004
- Variability in an edaphic indicator in alpine tundraCATENA, 2002
- GIS-based modelling of spatial pattern of snow cover duration in an alpine areaEcological Modelling, 2001
- Simulation of above treeline snowdrift formation using a numerical snow-transport modelCold Regions Science and Technology, 1999
- A new method for the determination of flow directions and upslope areas in grid digital elevation modelsWater Resources Research, 1997
- Current approaches to modelling the environmental niche of eucalypts: implication for management of forest biodiversityForest Ecology and Management, 1996
- Lithologic, Structural, and Topographic Influences on Snow-Avalanche Path Location, Eastern Glacier National Park, MontanaAnnals of the American Association of Geographers, 1990