Abstract
Vegetation suitability mapping is important for the selection of species for implementing the re-vegeta- tion program in the coarse sandy hill catchment areas of the Loess Plateau, China. We introduce a Boolean model, which uses a thin plate smoothing spline interpolation method to model the distribution of precipitation and temperature and analyze the suitability of 38 species using GIS techniques considering the requirement of these spe- cies for environmental conditions. Then we overlay a sin- gle suitability map of these 38 species to obtain a species frequency map for a specific site. In our study, we mean with 'high frequency' a high suitability of a site for re- vegetation. The results show that we can model the spatial changes of vegetation suitability with a combination of topographic analyses based on DEM and GIS functions. We also demonstrate these spatial changes on the screen using Visual Basic language and GIS functions, which will help decision makers to have a clear view of species and site suitability changes over large areas. Although more powerful models, such as GLM and GAM, were not used due to data limitation, our methods can still provide some relevant insights for similar studies.
Published Version
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