美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx

上传人:b****5 文档编号:14599603 上传时间:2023-06-24 格式:DOCX 页数:22 大小:491.24KB
下载 相关 举报
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第1页
第1页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第2页
第2页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第3页
第3页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第4页
第4页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第5页
第5页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第6页
第6页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第7页
第7页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第8页
第8页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第9页
第9页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第10页
第10页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第11页
第11页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第12页
第12页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第13页
第13页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第14页
第14页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第15页
第15页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第16页
第16页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第17页
第17页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第18页
第18页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第19页
第19页 / 共22页
美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx_第20页
第20页 / 共22页
亲,该文档总共22页,到这儿已超出免费预览范围,如果喜欢就下载吧!
下载资源
资源描述

美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx

《美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx》由会员分享,可在线阅读,更多相关《美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx(22页珍藏版)》请在冰点文库上搜索。

美国大学生数学建模竞赛MCM A题 树与树叶 一等奖论文.docx

美国大学生数学建模竞赛MCMA题树与树叶一等奖论文

 

Leaf-Mass&LeavesClassification

February14,2012

Abstract

Inthispaper,wepresentastatisticalmodeltoestimatetheleafmassandclassifyvariousleafshapesbasedonthedataobtainedthroughtreeharvestandleafremovalof21urbantrees.Wefirstexplainthediversificationofleafshapesanddescribetherelationshipbetweenleafshapesandtreeprofileinordertodefinethecorrelationbetweentreeprofileandleafshapes.Inordertoestimateleafmass,weapplytheregressionanalysiswithfourobservedindependentvariables,whichallowsustoestimatetheleaf-massofawhole-tree.Inordertoclassifyleaves,weusehierarchicalclusteringmethodaccordingtothedryleaf-massbyWard'sMethod.InthismethodweusethestandardEuclideandistanceasourprincipleofclassification.Finallyweobtainaregressionmodelwithvaryhighcoefficientofdeterminationandagoodwaytoclassifyleaves.

 

Forofficeuseonly

T1

________________

T2

________________

T3

________________

T4

________________

TeamControlNumber

 

ProblemChosen

A

Forofficeuseonly

F1

________________

F2

________________

F3

________________

F4

________________

2012MathematicalContestinModeling(MCM)SummarySheet

(Attachacopyofthispagetoeachcopyofyoursolutionpaper.)

Typeasummaryofyourresultsonthispage.Donotinclude

thenameofyourschool,advisor,orteammembersonthispage.

DearEditors,

Byoperatingandanalyzingtheexperimentaldata,wehavesetupanoptimizedregressionmodeltoestimateleafmass,andhaveclassifiedleavesintoseveralspecificgroupsdependingonareasonablecriterion.Moreimportantly,wehavenoticedsomereasonableresults.

Tobeginwith,aclassicregressionmodeliscitedtouncovertheambiguousrelationshipbetweentreeformsandleafshapes.Asamatteroffact,theleafshapesarenegativelycorrelatedtothetreeforms,andtheresultenablestoexposethetruthwhynarrowerleavesonlower-crowntreesarecomparativelyprolific.

Moreover,comparedwithotherregressionmodels,anoptimalregressionmodelestimatingleafmasswasproposed.Underthespecificsignificancelevel,treemassiscloselyrelevanttosometreecharacteristicsincludingcrownheight(m),crownradius(m)andleafmassperareaofcrownprojection(

).Therefore,iftheseparametersaremeasured,theactualtreemasscanbeestimated.

Inaddition,hierarchicalclusteringmethodisappliedinleafclassification.Inthisway,leavescanbereasonablyclassifiedrelyingonthedifferentdrymass.

Contents

1Introduction.............................................................................................................3

1.1OutlineofOurApproach..................................................................................3

2LeavesandtheLeafShapes....................................................................................4

2.1TheDiversificationofLeafShapes..................................................................4

2.2TheRelationshipbetweenLeafShapesandTreeProfile....…………….…....5

2.3LeafMosaic......................................................................................................7

3EstimatingLeafMass..............................................................................................8

3.1AssumptionsofRegressionAnalysis...............................................................8

3.2BasicRegressionModel...................................................................................8

3.2.1IndependentandDependentVariables..............................................9

3.2.2RegressionEquation...........................................................................9

3.2.3CorrelationMatrixandMulticollinearity..........................................9

3.2.4AGlobalTestontheSetofIndependentVariables..........................10

3.2.5CheckingtheSignificanceofEachIndependentVariableandANOVATable....................................................................................11

3.2.6DiagnosticPlotsfortheRegressionModel......................................12

3.3ImprovedRegressionModel..........................................................................16

3.3.1SolutionandResultsAnalysis..........................................................17

4HierarchicalClusteringinLeaves..........................................................................19

4.1DataDescription.............................................................................................19

4.2Methodology..................................................................................................20

4.3ResultsofClustering......................................................................................21

4.4Conclusion......................................................................................................21

5References.............................................................................................................22

I.Introduction

1.1OutlineofOurApproach

Withinaplant,themassofindividualleavesvariesaccordingtoleafsize,leafdensityandthickness(WitkowskiandLamont1991).Therearevarietiesofapproacheshavebeenexploredforrelatingleafmasstoeasilymeasureddimensionsofatree,andmuchoftheworkhasbeendoneinrelativelyunifiedstandssuchastimberplantations.ThepioneeringworkofKittredge(1944)providedanequationbetweenleafmass(W)andtrunkdiameter(D),log(W)=b*log(D)-a.

Inordertoincreasetheprecisionandaccuracyofleaf-massestimates,additionalvariablesneedtobeincludedandmultivariatestatisticalanalysesalongwithsophisticatedregressionequationsshouldbeadopted.Forinstance,inapreviousstudymadebyKershawandMaguire(1995),alargesamplewasdrawandextensivemeasurementsweremadetoobtaintheempiricalcoefficientsforresultingequations.Branchdiameterwasconsideredtobethebestpredictorofbranchfoliagemass;infact,useofstructuralorpositionalvariableswillalwaysleadtoimprovements.Unfortunately,theattainmentofalargesamplesizeforeachplantspeciestendstobeunpracticaloutsideurbanareas.

Intermsoftheleavesclassification,clusteranalysisisfrequentlyselectedbyanumberofresearchers.Clusteranalysisissupposedtobeamethodofmultivariatedataanalysisassigningsetsofobjectswithsimilarpropertiesintoagroup.Asacommontechnique,thealgorithmisappropriateinmanyfieldslikepatternrecognition,imageanalysisandinformationretrieval.Inthispaper,wemainlyusetheHierarchicalclusteringwhichisbasedondistancesinordertogainclustersandillustratethemusingadendrogram.(Wikipedia)

 

II.LeavesandtheLeafShapes

2.1TheDiversificationofLeafShapes

Amongallplanttraits,leafshapeisamostcommonandvariableone.Indeed,latestresearcheshaveshownthatleafshapecanbeexplainedwithitsworkingmechanism.Itisgenerallybelievedthatplantsplayacriticalroleinglobalcarboncycling.Plantsabsorbcarbondioxideandproducingorganicmatterthroughphotosynthesismainlyusingtheirleaves.Therearethreebasicpointshere,theamountofcarbonneededtoconstructtheleaf,leaf’slifespanandthephotosynthesisrateoftheleaf(WeiMing2011).Thesethreebasicfactorstogethershapeaprofileofleafthatwesee(WeiMing2011).Scientistshaveconstructedmathematicalmodelincorporatedallthreefactors(carbonconsumption,leaf’slifespanandphotosynthesisrate)tosimulatethehypotheticalshapeofaleaf.Theysampledleavesofover2500plantspeciesandtheresultsseemedtobequiteconsistentwiththeirhypotheses(WeiMing2011).

Whenitcomestoamoreexotericlevel,conclusioncanbedrawnfromthepreviousresearchesthatvariationinleafshapeisanoutcomeofadaptationandfunctionssuchasthermoregulation,waterbalance,nutrientstransport,absorptionoflightandresistancetonaturalenemiesareallrelatedtoleafshape(WeiMing2011).Thistheoryconcernsmoreabouttheinteractionbetweenplantsandtheirenvironment.Althoughnosimpleandunifiedmechanismcanbedrawasweexpectedconsideringtheleafshapeanditshabitat.Thereisstillmuchtruthinthistheory.

●Leavesonthecrownwillreceiveadequatesunlight.Theseleavesareoftenrelativelysmalltoreducetheexposureareatoletmoresunlightgothroughtogetthelowerleaves.Incontrast,leavesbellowthecrownusuallytendtoberelativelylargertomaximizetheexposurearea.Inthisway,leavesbellowthecrowncanalsocontinuephotosynthesis(WeiMing2011).

●Plantslivinginadryenvironmentnormallyhaveslenderandtinyleaves.Thoseleaveswithsmallareacanhelpmaintainwatergiventhatnearly90%ofthewaterabsorbedbyplantswillinevitablybelostthroughtranspirationprocessofleaves(WeiMing2011).

●Weallhaveseensomeleavesgrowtocone;thisistopreventtheleavesfrombeingcrushedbysnowinwinter.Someleavesevolvetobeneedletothreatenthepredator.Forexample,coniferinNorthPolegrowstheirleavestobelikeneedlesothateventhehungriestanimalwon’tdaretoeat(WeiMing2011).

Althoughenvironmentalselectionplaysanimportantroleinshapingleaves,whenexplainingmoresubtleandminordifferencesbetweendiversifiedleafshapes,weneedtocomedowntothegeneticlevel.Theleafsizeandshapeofacertainplantisnormallyconservedwithinthespecies,indicatinggeneticcontroloftheseprominentcharacteristics.Whenmutationsatmanylocioccurs,thissourceofnaturalwondersresultinalteredshapeandsize,suggestingtheinteractionof

展开阅读全文
相关资源
猜你喜欢
相关搜索
资源标签

当前位置:首页 > 法律文书 > 判决书

copyright@ 2008-2023 冰点文库 网站版权所有

经营许可证编号:鄂ICP备19020893号-2