Quantifying the relevance of intraspecific trait variability for functional ...

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Preparing the data for R3 matrices needed (FOR EACH COMMUNITY/PLOT):The following examples are based on virtual dataas used in the Appendix exampleThe R functions are applicable to your real datawhen formatted as shown in the virtual examplesDatapreparation
1 TRAIT X INDIVIDUALFor each trait (e.g. plant height,leaf area etc..), a vector with thetrait value for different individualswithin each speciesExample: for plant height, 6 individuals weremeasured for species 1, 8 individuals forspecies 2, 10 for species 3 and 16 for species 4.Datapreparation
Page 2 and 3: Intraspecific trait variability is
Page 4 and 5: Present TUTORIAL:Use of the R funct
Page 6 and 7: APPROACH: decomposition of total co
Page 8 and 9: Total diversity = Between species d
Page 12 and 13: Matrix2aSPECIES IDENTITYThis matrix
Page 14 and 15: TRAIT X INDIVIDUALMatrix1EUCLIDIAND
Page 17 and 18: R functions> indxsp[,1] [,2] [,3] [
Page 19 and 20: R functions2a. Calculate trait diss
Page 21 and 22: R functions3. Run function RaoAdo.r
Page 23: names(Raotind$FD)[1] "Mean_Alpha" "
Page 28: TutorialQuantifying the relevance o

Quantifying the relevance of intraspecific trait variability for functional ...

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