Coherence of Net Primary Productivity Estimates Keala Hagmann Mark Harmon: carbon dynamics, scalability Don Henshaw: database and people management Howard.

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Presentation transcript:

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

NPP b = ∆Biomass + Mortality Net Primary Productivity of Live Tree Boles

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

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

Reference Stand Layouts

Reference Stand Descriptions

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

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

Min/Max r: Plot to Stand Correlation Correlation Coefficient AB08AG05AM16AO03AV02AV06AV14TO04TO11 bio r plot bio r plot npp r plot npp r plot RS01RS03RS21RS22RS23RS27RS28RS29RS30RS31RS34 bio r plot bio r plot npp r plot npp r plot

# Neg Pos Sig: Plot to Stand Correlation

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

Plot-level trends

Min/Max r: Combos to Stand Correlation

# Neg Pos Sig: Combos to Stand Correlation

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

Correlate plots to each other Extend analysis to stand level Further statistical analyses to quantify coherence in trends from site to site Future

Potential not exploited Programmer & statistician: automate analysis & interpret results Another cross-disciplinary approach to extending comprehension of study subjects and generating insights EcoInformatics

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. Thank You to: