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Statistics at Forest Research Geoff Morgan. Forestry Commission Formed in 1919 as a response to the shortage of timber caused by the war. Manages about.

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Presentation on theme: "Statistics at Forest Research Geoff Morgan. Forestry Commission Formed in 1919 as a response to the shortage of timber caused by the war. Manages about."— Presentation transcript:

1 Statistics at Forest Research Geoff Morgan

2 Forestry Commission Formed in 1919 as a response to the shortage of timber caused by the war. Manages about 1m hectares of woodland (Forest Enterprise) Awards grants and gives out licences (conservancies)

3 Forest Research Research agency of the Forestry Commission Two main sites –Alice Holt, near Farnham –Northern Research Station, near Edinburgh –about 12 field stations –280 staff

4 FR Divisions Tree Health (Pathology and Entomology) Ecology Forest Management Environmental and Human Sciences Biometrics, Surveys and Statistics

5 Some key problems Plant diseases (e.g., Phytophthora ramorum) Insect pests (e.g., Hylobius) Natural regeneration/direct seeding Grey squirrels and deer Monitoring and surveying Landscape ecology Bio-diversity Climate change

6 Pine Weevil Hylobius abietis

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8 Adult females lay eggs in bark of stumps Adults emerge 1-2 years later Attack newly planted trees Can weevil be controlled without using pesticides? The problem

9 Hylobius experiments Size of eggs Shallow/deep feeding Time to flight How to estimate weevil numbers

10 Seedling survival Is natural regeneration of Corsican Pine possible? Are sufficient viable seeds produced? What conditions lead to successful germination? Do the seedlings survive?

11 Seed Predation by mice

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13 The experiments Do mice have preference for different seed types? Do different conditions discourage predation? Use of GLM/GLMMs More general models via MCMC approach

14 Growth of young trees Experiments/studies measure tree height and diameter at regular intervals Examining the effects of –weeding treatments –vegetation –pruning Use of end point analysis repeated measures or growthcurves?

15 Some statistical problems How many observations? Plot sizes - how many trees is optimal? Blocks - shapes and sizes Random effects/error strata Multivariate approaches

16 Working with scientists An evolutionary relationship Software gets easier –Excel –GenStat Statistics gets harder Servant to team member Quality Assurance

17 In summary Diverse Frustrating Challenging All in a wonderful setting!

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