GIS modeling of submerged macrophyte distribution using Generalized Additive Models
作者： Anthony Lehmann
关键词: Ecology 、 Geographic information system 、 Macrophyte 、 Environmental science 、 Littoral zone 、 Generalized additive model 、 Hydrology 、 Species distribution 、 Water quality 、 Bathymetry 、 Gradient analysis
摘要: The distribution of submerged macrophytes in the littoral zone Lake Geneva (Switzerland) was modeled from bathymetry, wave exposure, current strength, water quality, soil type and harvesting practice. Generalized Additive Models (GAM) were used to identify responses three Potamogeton species Chara sp. these environmental parameters. maps original data spatial predictions processed a Geographic Information System (GIS) database. effect selected variables on plant is discussed relation adaptive strategies. GIS GAM appear as powerful tools proceed description response curves gradients toward under changing conditions.
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