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Coherence of Net Primary Productivity Estimates

Coherence of Net Primary Productivity Estimates. Keala Hagmann Mark Harmon: carbon dynamics, scalability Don Henshaw: database and people management Howard Bruner: reference stand data & NPP Suzanne Remillard: reference stand data & NPP Gody Spycher: data manipulation.

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Coherence of Net Primary Productivity Estimates

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  1. Coherence of Net Primary Productivity Estimates Keala HagmannMark Harmon: carbon dynamics, scalabilityDon Henshaw: database and people managementHoward Bruner: reference stand data & NPPSuzanne Remillard: reference stand data & NPPGody Spycher: data manipulation

  2. Net Primary Productivity of Live Tree Boles NPPb = ∆Biomass + Mortality

  3. Productivity and Scalability Measure–ability to sequester carbon, sink or source of atmospheric carbonAsk–how scalable are the estimates?Why–refine estimates for carbon cycles; learn more about ecosystem

  4. Objective Identify the spatial scale at which the parts represent the whole

  5. Reference Stand Layouts

  6. Reference Stand Descriptions

  7. Biomass Estimates: Plot-level Mount Rainier Reference Stands HJ Andrews Reference Stands

  8. NPP Estimates: Plot-level Mount Rainier Reference Stands HJ Andrews Reference Stands

  9. Min/Max r: Plot to Stand Correlation

  10. # Neg Pos Sig: Plot to Stand Correlation

  11. Combinations: 2, 4, 6, 8 plots MRRS, TO11: Adjacent Homogeneity MRRS, AV14: Adjacent Heterogeneity

  12. Plot-level trends

  13. Min/Max r: Combos to Stand Correlation

  14. # Neg Pos Sig: Combos to Stand Correlation

  15. Biomass & NPP: Stand-level Mount Rainier Reference Stands HJ Andrews Reference Stands Time (Year of Measurement

  16. Future Correlate plots to each otherExtend analysis to stand levelFurther statistical analyses to quantify coherence in trends from site to site

  17. EcoInformatics Potential not exploitedProgrammer & statistician: automate analysis & interpret resultsAnother cross-disciplinary approach to extending comprehension of study subjects and generating insights

  18. Thank You to: Desiree Tullos, Julia Jones, Kari O’Connell and Fred Swanson for creating EISI and for hosting us.Nicole Czarmonski and Jorge Ramirez for guidance and encouragement. The numerous lecturers who gave of their time and shared their knowledge.Alan Tepley for providing an opportunity for fieldwork in incredibly beautiful forests and for all that he teaches.

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