旅游对芦芽山国家级自然保护区典型植被的影响

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1、万方数据AbstractTheLuyashanMountainNaturalReserve(LMNa)，awell—knowntourismspots，liesinjunctionwiththreecountiesofNiwuWuzaiandKelaninthenorthernpartofLuliangmountainrangeinShanxiProvince．ItwasdesignatedasthenationalAAAlevelscenicareain2010．Themountainhasabundantspecies，variousv

2、egetationtypesandhighlydiversifiedhabitats．ThisthesisselectedtwotypicaltouristattractionsinLMNR，namelyBingkouwaandHeyepingtostudytheimpactsoftourismonforestandmeadowvegetationsthroughthequantitativeecologicalmethodsincludingplantclassification，ordination，principalcomponent

3、analysis，correlationanalysis，speciesdiversity,andspeciescomposition．Themajorstudyingresultsareasfollows：(1)TheTWINSPANclassificationdividedtheareainto6impactzonesbytheextentoftourisminfluences，reflectingthealtemationsinspatialpattembytourismactivities，wherethetrailswereuse

4、dastheaxis．Thecorrelationanalysisrevealedsignificantrelationshipsamong3outof12pairsoftourismindicators，namelyCpVS．TD，CrVS．Cp,andCrVS．TD．MeanwhiletheH’andSwerefoundwellcorrelated．ThePCAanalysisof12impactindicatorsshowedfiveprincipalcomponentswhichcloselyrelatedwithsevenimpa

5、ctindicators，accountingfor81．88％ofcomprehensiveinformation．Theresultsoftourismaffectedzoneleveldivisionbyseventourismimpactindicatorsandtwelvetourismimpactindicatorswerethesame．Thissimplifiestheselectionfortourismimpactindicatorsforapplicationpurpose．(2)Meadowscommunityins

6、ubalpinemeadowtravelsectionwasdividedinto4groupswithTWINSPAN．Themeadowvegetationdynamicchangecharacteristicswasreflectedunderthedifferenttourismdisturbanceintensity．Theyincludedthegrade—I(poor)vegetationassociations，grade—II(good)vegetationassociations，grade-III(better)veg

7、etationassociations，万方数据andgrade—IV(best)vegetationassociations．Thehabitatcharacteristicsoftourismdisturbaliceweredescribed．TheDCCAordinationof9transectscommunityspeciesreflectedtheecologicaleffectsof6tourismenvironmentalfactors．Surfacebaredegreesslopeplayadecisiveroleinth

8、edistributionofplantcommunitiesin6environmentalfactors．Surfacebarenesslevelwasdeterminedb