Coherence of Net Primary Productivity Estimates Keala Hagmann Mark Harmon: carbon dynamics,...

Coherence of Net Primary Productivity EstimatesKeala Hagmann

Mark Harmon: carbon dynamics, scalabilityDon Henshaw: database and people managementHoward Bruner: reference stand data & NPPSuzanne Remillard: reference stand data & NPPGody Spycher: data manipulation

NPPb = ∆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                

  AB08 AG05 AM16 AO03 AV02 AV06 AV14 TO04 TO11    

bio r plot -0.39 -0.20 -0.75 -0.40 -0.66 -0.73 -0.81 -0.88 -0.43    

bio r plot 0.75 0.92 0.96 0.64 0.92 0.96 0.99 0.88 1.00    

npp r plot -0.64 -0.11 -0.90 -0.95 -0.81 -0.38 -0.67 -0.84 -0.78    

npp r plot 0.92 0.97 0.98 0.95 0.97 0.99 0.95 0.98 0.87    

  RS01 RS03 RS21 RS22 RS23 RS27 RS28 RS29 RS30 RS31 RS34

bio r plot -0.99 -0.32 -0.60 -0.99 -0.79 -0.93 -0.75 -0.89 -0.75 -0.52 -0.58

bio r plot 0.97 0.82 0.96 0.99 0.63 0.99 0.96 0.93 0.79 0.79 0.71

npp r plot -0.88 -0.20 -0.69 -0.35 0.03 -0.48 -0.11 -0.15 0.24 -0.33 -0.95

npp r plot 0.98 0.98 0.96 0.83 0.97 1.00 0.98 0.98 0.98 0.96 0.97

# 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 otherExtend 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: