Abstract:Ellenberg indicator values (EIV) have been widely used to estimate habitat variables from floristic data and to predict vegetation compositionbasedonhabitatproperties.GeographicalInformationSystems(GIS)andDigitalElevationModels(DEM)arevaluable toolsforstudyingtherelationshipsbetweentopographicandecologicalcharactersofriversystems.A3-meterresolutionDEMwas derived for a.3-km-longbreaksectionoftheSzumRiver(SEPoland)froma1:10,000topographicmap.Dataonthediversityand ecological requirements of the local vascular flora were obtained while making floristic charts for 32 sections of the river valley (each200 mlong)andphysicalandchemicalsoilmeasurements;next,thedataweretranslatedintoEIV.Thecorrelationsofthe primaryandsecondarytopographicattributesofthevalley,speciesrichness,andEIV(adaptedforthePolishvascularflora)were assessedforallspeciesrecognizedineachvalleysection.Thetotalareaandproportionofaflatarea,meanslope,slopecurvature, solar radiation (SRAD), and topographic wetness index (TWI) are the most important factors influencing local flora richness and diversity.Thehighestcorrelationswerefoundforthreeecologicalindicators,namelylight,soilmoisture,andsoilorganiccontent. TheDEMseemstobeusefulindeterminationofcorrelationsbetweentopographicandecologicalattributesalongaminorrivervalley.©VersitaSp.zo.o.