Modelling-the-Linkage-Between-Landscape-Metrics-and

ProcediaEnvironmentalSciences13(2012)2131–21451878-0296©2011PublishedbyElsevierB.V.Selectionand/orpeer-reviewunderresponsibilityofSchoolofEnvironment,BeijingNormalUniversity.doi:10.1016/j.proenv.2012.01.202Availableonlineatwww.sciencedirect.comProcediaEnvironmentalSciencesProcediaEnvironmentalSciences8(2011)2157–2171www.elsevier.com/locate/procediaThe18thBiennialConferenceofInternationalSocietyforEcologicalModellingModellingtheLinkageBetweenLandscapeMetricsandWaterQualityIndicesofHydrologicalUnitsinSihuBasin,HubeiProvince,China:AnAllometricModelM.Y.Wua,L.Xuea,W.B.Jina*,Q.X.Xionga,T.C.Aia,B.L.Lia,baEngineeringResearchCenterofWetlandAgricultureintheMiddleRegionofYangtzeRiver,(MinistryofEducationofChina),YangtzeUniversity,Jingzhou,Hubei434025,ChinabEcologicalComplexityandModellingLaboratory,DepartmentofBotanyandPlantScience,UniversityofCalifornia,Riverside,CA92521-0124,USAAbstractStudyingquantitativerelationshipsbetweenlandscapepatternandwaterqualityisafundamentalsteptoassesstheimpactsofnon-pointsourcepollution.Manyhydrologicalmodelswithmulti-functionalityhavebeendevelopedasusefultoolstostudyseveralkeymechanismsinnon-pointsourcepollution.Inlandscapeecologicalstudies,however,theempiricalmodellingapproacheshavebeendominatedwithemphasisontherelationshipsbetweenthelandscapemetricsandwaterqualityindices.Themaintechniquesfordevelopingthosemodelsoflandscape-waterqualityarestatisticalregressionanalysisbasedonlinearmodels.Inthisarticle,AllometricmodelsandthetraditionalmultiplelinearregressionmodelsforestimatingthelinkagebetweenlandscapemetricsandwaterqualityweretestedinSihuBasin,HubeiProvince,China.Themodelsatpatchclasslevelwereestablishedin24hydrologicalunitsofthebasin,whichtookninewaterqualityindices(EC,pH,SS,DO,COD,TN,TP,NO3--N,NH4+-N)asthedependentvariablesandeighteenlandscapemetricscalculatedinFRAGSTATS3.3asindependentvariables.Theresultssuggestedthat,comparedwiththetraditionalmultiplelinearregressionmodels,AllometricmodelsweremoresuitableforSS,DO,TP,TN,NH4+-N,inwhichlands