1. Lessons Learned: Writing a Book on Forest Growth and Yield Modeling Aaron Weiskittel University of Maine

2. NEMO Oct 1 – 2, 2012 Penn State University Contact Laura Leites or John Kershaw if interested in presenting

3. Introduction In 1994, Jerry Vanclay published a book on growth modeling – Bit outdated A few other books on the subject – Compilations or conference proceedings – Focused on 1 region – Focused on 1 model type

4. Introduction Meet Jerry Vanclay in 2006 & inquire about book David Hann makes mention that he will retire soon John Kershaw mentions that has an existing book contract Naive young assistant GY prof arrives at UMaine

5. Overview 17 individual chapters Covers all aspect of modeling – Development – Application – Verification Inclusive of all modeling approaches – Statistical – Mechanistic – Hybrid – Gap Research focus, but with foresters and students in mind Extensive bibliography Improved and logical organization when compared to the first book Example models throughout Focus on statistical individual tree growth models

6. Chapter 1 - Introduction

8. Chapter 2 - Competition Both distance-dependent and distance-independent measures discussed

9. Chapter 3 – Site Productivity Advantages and disadvantages of various measures of site productivity discussed

10. Chapter 4 – Whole Stand and Size Class Models Vanclay’s Original Chapter Updated

11. Chapter 5 – Individual Tree

12. Chapter 6 – Components of individual tree models Diameter increment, height increment, and crown recession

13. Chapter 7 – Allometric Equations Height to diameter, height to crown base (crown ratio), crown profile, taper/volume, biomass

14. Chapter 8 - Mortality Tree and Stand-level Mortality

15. Chapter 9 – Regeneration & Recruitment Seed production, dispersal, and germination; Recruitment models

16. Chapter 10 – Linking Models of Different Resolutions Parameter recovery; Disaggregation; Constrained; Combined

17. Chapter 11 – Forest Management Genetics, Vegetation Management, Thinning, Fertilization, Harvesting

18. Chapter 12 – Mechanistic Models Light interception, Photosynthesis, Stomatal Conductance, Respiration, Carbon Allocation

19. Chapter 13 – Hybrid Models Mechanically derived covariates and modifiers

20. Chapter 14 – Model Construction Data Requirements; Model form; Parameter estimation

21. Chapter 15 – Model Evaluation and Calibration -Model Criticism, -Model Error Characterization, -Model Benchmarking -Bayesian Calibration

22. Chapter 16 – Implementation and Use Collection of Appropriate Data Generation of Appropriate Data Temporal and Spatial Scale Computer Interface Visualization Output

23. Chapter 17 – Future Directions Improving Predictions Improving Input Data Improving Software

24. Summary Available now via Wiley 415 pages with 33 tables, 56 figures, and 1244 citations $115 (hardback) and $82 (electronic) on Amazon (cheaper than from Wiley w/ my author’s discount)

25. Lessons Learned! Most time-consuming, tedious, and challenging project I have worked on – Also the most rewarding and enjoyable Convincing and keeping co-authors engaged in the project is the biggest accomplishment of my career Despite the desire, I don’t see myself completing something like this again due to time and energy constraints My big royalty check won’t allow me to retire anytime soon – ~300 copies sold

26. Acknowledgements David Hann John Kershaw Jerry Vanclay Dave Hyink Robert Curtis Martin Ritchie Jeremy Wilson Laura Kenefic Jeff Gove Quang Cao Peter Marshall Andrew Robinson

27. Questions/Comments