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Of the Mitchell Marsh, Salmon River Estuary

Plant Community Analysis. Of the Mitchell Marsh, Salmon River Estuary. Ed Buchner Dept. GeoSciences May 26, 2004. Introduction. What is a Plant Community? Why are they important? How have they been used at this site? What methods of analysis have been used? Importance of visualization

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Of the Mitchell Marsh, Salmon River Estuary

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  1. Plant Community Analysis Of the Mitchell Marsh, Salmon River Estuary Ed Buchner Dept. GeoSciences May 26, 2004

  2. Introduction • What is a Plant Community? • Why are they important? • How have they been used at this site? • What methods of analysis have been used? • Importance of visualization • Use of kriging

  3. Study Site • Location

  4. Study Site • Location • Early Uses • Diking • Restoration

  5. Data • Previously Collected • Species percent cover • Biomass • Soil salinity • X,Y location • Elevation • Data used in analysis • Species percent cover • X,Y location

  6. Methods – Plant Community Indicator • Not interested in individual species • Plant community indicator development • NPCI

  7. Methods – Plant Community Indicator • Not interested in individual species • Plant community indicator development • NPCI • Based on NDVI • Band1-Band2/Band1+Band2

  8. Methods – Plant Community Indicator • Not interested in individual species • Plant community indicator development • NPCI • Based on NDVI • Band1-Band2/Band1+Band2 • (CALY+SAVI)-(POPA+JUBA) • CALY = Carex lyngbei • SAVI = Salicornia virginica • POPA = Potentilla pacifica • JUBA = Juncus balticus

  9. Methods – Plant Community Indicator • Not interested in individual species • Plant community indicator development • NPCI • Based on NDVI • PCA • Captures variation with one variable • CALY • SAVI • POPA • JUBA

  10. Methods – Data distribution • Statistical assumptions • Importance of data normality • What is normal • Histogram • Normal QQ

  11. Methods – Data distribution • NPCI and PCA Component 1

  12. Methods – Data Transformation • ArcSIN transformation • Data Caveat • Will this work?

  13. Methods – Kriging • Ordinary Kriging • Prediction map • 1st order trend removal • Anisotropy • Comparison of Indicators • Ground truthing • A priori knowledge

  14. Results – Transformation • Data Transformation PCA Component 1 ArcSIN Transformation

  15. Results – Kriging • NPCI

  16. Results – Kriging • Component 1

  17. Results – Kriging • ArcSIN Transformation

  18. Discussion • Plant Community Indicator • Transformation • Kriging • Alternative Visual Approach

  19. Discussion • Plant Community Indicator • Transformation • Kriging • Alternative Visual Approach

  20. Discussion • Plant Community Indicator • Transformation • Kriging • Alternative Visual Approach

  21. Discussion • Plant Community Indicator • Transformation • Kriging • Alternative Visual Approach

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