Eucalyptus globoidea productivity in New Zealand Dean Meason, Tobias Herrman, Christine Todoroki.

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Presentation transcript:

Eucalyptus globoidea productivity in New Zealand Dean Meason, Tobias Herrman, Christine Todoroki

Outline Ecosystem black box and drivers of productivity Process-based modelling & its importance for alternative species MPI project – Predicting productivity and carbon sequestration potential of eucalypt species Summary

Potential rooting depth – Landcare/Scion Multiple site factors impact productivity

Empirical modelling: “black box” approach Forest ecosystem BLACK BOX Ecosystem Input:Ecosystem Output: Different management techniques Desired outcome of the stand

Climate Change in New Zealand Temperature rises  1.6 to 2.0 o C in 2080 Rainfall changes  +-10 to15% in 2080 High variability and uncertainty

Stand Productivity PhotosynthesisTopographyTranspiration Soil depth Soil organic matter Carbon allocation Competition TemperatureRainfallSoil textureSoil fertility Drivers of Productivity

Empirical-based Forest Modelling Need thousands of plots over a long time period Ecosystem black box Static, not dynamic Radiata pine not as site sensitive

From Sands 2000, CSIRO Process-based Forest Modelling 3-PG

MPI project Sustainable Land Management and Climate Change program (SLMACC) Quantify productivity and carbon sequestration potential of  Eucalyptus globoidea  Eucalyptus regnans Collaboration with NZDFI Building on previous eucalypt productivity spatial modelling

Eucalyptus fastigata plot network commons.wikipedia.com

Stem volume per hectare at age 30 Initial stocking 1250 sph No silviculture Eucalyptus fastigata

Stem volume per hectare at age 30 Initial stocking 1250 sph No silviculture Eucalyptus fastigata

Stem volume per hectare at age 30 Initial stocking 1250 sph No silviculture Eucalyptus fastigata

Stem volume per hectare at age 30 Initial stocking 1250 sph No silviculture Eucalyptus fastigata

Eucalypt species distribution commons.wikipedia.com E. fastigataE. globoideaE. regnans

Height differs by species

Stocking effects on stem quadratic mean diameter

Similar spatial relationships between species

t E. globoidea wood density is high

Site impacts E. globoidea productivity

Modelling of Carbon pools: Forest Carbon Predictor Inputs: Processing: Outputs:

Summary Process-based models ideal for species with limited data  Dynamic not static Strong correlations between E. fastigata and E. globoidea E. globoidea not as site sensitive as first feared E. globoidea has higher wood density than the “industrial” eucalypts  No regional differences

Next steps Finish 3-PG parameterisation for E. globoidea and E. regnans – Nov 2015 Create spatial productivity map identifying highly suitable areas – Jan 2016 Provide a realistic productivity range of E. globoidea’s potential – Jan 2016 Create carbon sequestration models for E. globoidea and E. regnans – Dec 2015 Share data and results with NZDFI