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A dichotomous key for using
        ordination


             By



      Shujaul Mulk Khan
General Recommendations for Ordination: A dichotomous key
•   Direct Gradient Analysis.............................................................2
    2. Few species............................................................................4
       4. Monotonic responses to gradients (low beta)..................Linear regression
       4. Nonmonotonic responses to gradients.(high beta)..........Generalized linear models
    2. Many species.........................................................................5
       5. Monotonic responses ......................................................RDA
       5. Nonmonotonic responses.................................................6
          6. concerned about arch effect.........................................DCCA
          6. not concerned about arch effect..................................CCA
•   Indirect Gradient Analysis...........................................................3
    3. Only distance values are available..........................................7
       7. Monotonic responses .......................................................PCoA
       7. Nonmonotonic responses.................................................NMDS
    3. Raw data available.................................................................8
       8. Monotonic responses ......................................................9
          9. Variables noncommensurate.......................................PCA - corr. matrix
          9. Variables commensurate.............................................PCA - cov. matrix
       8. Nonmonotonic responses................................................10
          10. Feel OK about prespecifying number of dimensions, not worried about local
        optima, not interested in species scoes.....................NMDS
          10. Not as above, but willing to accept either arch effect... 11
          11. Don't like arch, detrending OK .................................DCA
          11. Arch OK, or only interested in axis 1.........................CA

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CANOCO & PCORD

  • 1. A dichotomous key for using ordination By Shujaul Mulk Khan
  • 2. General Recommendations for Ordination: A dichotomous key • Direct Gradient Analysis.............................................................2 2. Few species............................................................................4 4. Monotonic responses to gradients (low beta)..................Linear regression 4. Nonmonotonic responses to gradients.(high beta)..........Generalized linear models 2. Many species.........................................................................5 5. Monotonic responses ......................................................RDA 5. Nonmonotonic responses.................................................6 6. concerned about arch effect.........................................DCCA 6. not concerned about arch effect..................................CCA • Indirect Gradient Analysis...........................................................3 3. Only distance values are available..........................................7 7. Monotonic responses .......................................................PCoA 7. Nonmonotonic responses.................................................NMDS 3. Raw data available.................................................................8 8. Monotonic responses ......................................................9 9. Variables noncommensurate.......................................PCA - corr. matrix 9. Variables commensurate.............................................PCA - cov. matrix 8. Nonmonotonic responses................................................10 10. Feel OK about prespecifying number of dimensions, not worried about local optima, not interested in species scoes.....................NMDS 10. Not as above, but willing to accept either arch effect... 11 11. Don't like arch, detrending OK .................................DCA 11. Arch OK, or only interested in axis 1.........................CA