Forest Planning and Vegetative Yield Profiles - FVS Out-of-the-Box

1. FVS Out of the Box -Assembly RequiredDon VandendriescheUSDA Forest ServiceForest Management Service CenterGrowth and Yield Group

9. Context: Forest Planning

10. Construction of Vegetative Yield Profiles Clearwater and Nez Perce National Forests

11. Forest Planning Steps • Forest Stratification • Data Sources • Model Calibration • Natural Growth Runs • Treatment Prescriptions • Yield Profiles

12. I. Forest Stratification - National, broad, and mid-level planning often involves grouping stands of like attributes into vegetation classes.

13. - Stand Types:

14. - Stand Type: Dry Tolerant {Douglas-fir}

15. II. Data Sources - Two types of data: • Spatial  GIS … acres • Temporal  FIA … per acre USFS - Forest Inventory and Analysis Units {FIA} are mandated to conducted field inventories of all forested lands within the United States.

16. - Inventory Data

17. - Plot Count: Dry Tolerant {Douglas-fir}

18. III. Model Calibration - It behooves users to validate the virtual world estimates generated by FVS versus the real world values obtained from inventory data.

19. - FVS Geographic Variants Each FVS variant has its own set of species, growth and mortality functions, volume calculation procedures, etc.

20. - Measured vs. Modeled Trends • No Adjustments

21. FVS: No Adjustments Measured Modeled

22. - FVS Self-Calibration • Data are representative of growing conditions in the geographic area for which the variant was fit. • Available increment data are used to modify predictions.

23. - FVS: Self-Calibration Measured Modeled

24. - Tree Defect • Merchantable Volume

25. - Tree Defect

26. - Tree Defect Applied Measured Modeled

27. IV. Natural Growth Runs - Mortality and regeneration components are difficult aspects to model. One subtracts trees from the ecosystem, the other adds.

28. ln(Dq) = intercept +-0.62305*ln(TPA) Stand Density Index (SDI) 20 10 5 Quadratic Mean Diameter (in) 2 1 10 100 1000 10000 100000 Trees per Acre

29. - SDI & BA max

30. - Stand Size Caps Measured Modeled

31. - Tree Mortality • The TreeSzCp keyword sets the morphological limits for maximum tree diameter and height • The specified diameter acts as a surrogate for age to invoke senescence mortality.

32. - Measured vs. Modeled Trends • Fvs Self-Calibration • Tree Defect Applied • Stand Size Caps {SDI-max, BA-max} • Tree Size Caps

33. - Regeneration Imputation • To impute implies the assignment of something to another. • The process calls for querying existing data sets for representative stand types and tabulating their seedling component.

34. - Regeneration Questions •  Relative to stand conditions … • Seedling Count? • Species Composition?

35. - REPUTE the Program • Repute embodies the concept of Regeneration Imputation. • Repute reads the ‘Stand Table’ output files from the Fvsstand Alone program to develop regeneration keyword component files.

36. - Measured vs. Modeled Trends • Fvs Self-Calibration • Tree Defect Applied • Stand Size Caps {SDI-max, BA-max} • Tree Size Caps • Regeneration Imputation • Fvs Self-Calibration • Tree Defect Applied • Stand Size Caps {SDI-max, BA-max} • Tree Size Caps

37. - Regeneration Imputation Measured Modeled

38. - Summarize Assembly Process • FVS Self-Calibration {ReadCorD} • Tree Defect Applied {Defect} • Stand Size Caps {SDImax, BAmax} • Tree Size Caps {TreeSzCp} • Regeneration Imputation {Natural}

39. V. Treatment Prescriptions - A silvicultural prescription is a ‘blueprint’ of recommended activities to be applied throughout the life span of a forest stand.

40. - Silvicultural System: DF -> PP

41. - Summary Statistics Table START OF SIMULATION PERIOD REMOVALS ----------------------------------- ----------------- NO OF TOP MERCH MERCH NO OF MERCH MERCH YEAR AGE TREES BA SDI HT QMD CU FT BD FT TREES CU FT BD FT ---- --- ----- --- ---- --- ---- ----- ----- ----- ----- ----- 2006 93 676 114 263 98 5.6 2986 17781 0 0 0 2016 103 423 122 254 102 7.3 3306 19502 0 0 0 2026 113 285 122 235 103 8.9 3336 19776 237 1942 10860 2036 10 233 45 101 36 5.9 1220 7771 0 0 0 2046 20 464 28 80 27 3.3 736 4689 0 0 0 2056 30 907 16 58 26 1.8 253 1586 655 0 0 2066 40 221 17 45 31 3.7 137 233 0 0 0 2076 50 198 50 107 47 6.8 635 2401 0 0 0 2086 60 434 93 205 62 6.3 1535 6731 0 0 0 2096 70 436 131 270 75 7.4 2597 12581 0 0 0 2106 80 419 154 305 85 8.2 3488 17596 56 994 4827 2116 90 254 126 235 92 9.5 3304 17740 0 0 0 2126 100 213 141 249 99 11.0 3927 22152 0 0 0 2136 110 159 150 247 106 13.2 4415 25690 0 0 0 2146 120 161 156 256 111 13.4 4797 28922 0 0 0 2156 130 145 161 256 114 14.3 5075 31293 0 0 0 2166 140 141 162 256 114 14.5 5232 32903 0 0 0 2176 150 141 161 255 114 14.5 5232 33436 0 0 0 2186 160 133 157 247 112 14.7 5139 33228 0 0 0 2196 170 131 152 240 108 14.6 4997 32646 0 0 0 2206 180 126 141 224 100 14.3 4637 30613 0 0 0 2216 190 118 129 206 91 14.1 4210 27925 0 0 0 2226 200 118 117 190 82 13.5 3747 24988 95 1988 12795

42. - Dry Tolerant: Even-Aged Rx

43. VI. Vegetative Yield Profiles - Management plans address contemporary issues such as vegetation structure, disturbance events, and forest health.

44. - Ecosystem Components *Structure Variables: Compute Post Processor - CC00P = Canopy Cover O" plus - CC10P = Canopy Cover 10" plus - CC15P = Canopy Cover 15" plus - CC20P = Canopy Cover 2O" plus - LYNX = Lynx Habitat *Fire Variables: Compute Post Processor - CRBD = Crown Bulk Density - TRIDX = Torching Index - Severe Fire - CRIDX = Crowning Index - Severe Fire - FIRE = Fire Hazard Rating - Torching x Crowning Index Matrix - SNAG10T = Snags 10"-20" - SNAG20P = Snags 20" plus *Pest Variables: Compute Post Processor - ESBTL = Spruce Beetle - DFBTL = Douglas-fir Beetle - PPBTL = Ponderosa Pine (MPB/WPB) - WPBTL = Western White Pine (MPB) - LPBTL = Lodgepole Pine (MPB) - HZBTL = Composite Beetle Hazard - BDWTSM = W. Spruce Budworm/DF Tussock Moth *R1 Vegetation Variables: R1 Stand Classifier Post Processor - DomGrp = Dominance Group (a.k.a. Cover Type) - SizNTG = Size Class (National Technical Guide standards) - StndAge = Stand Age

45. - Commodity Coefficients *Base Model Output Variables: Fvsstand Alone Post Processor - Plt_Acres = Plot Acres (Count) - Trt_Acres = Treatment Acres (Count) - LTr.AllSx = Live/Trees per Acre/All Species/All Size Classes - LAH.AllSx = Live/Average Height/All Species/All Size Classes - LBA.AllSx = Live/Basal Area per Acre/All Species/All Size Classes - LCA.AllSx = Live/Cubic Feet per Acre/All Species/All Size Classes - LBd.AllSx = Live/Board Feet per Acre/All Species/All Size Classes - HTr.AllSx = Harvest/Trees per Acre/All Species/All Size Classes - HAD.AllSx = Harvest/Average DBH/All Species/All Size Classes - HAH.AllSx = Harvest/Average Height/All Species/All Size Classes - HBA.AllSx = Harvest/Basal Area per Acre/All Species/All Size Classes - HCA.AllSx = Harvest/Cubic Feet per Acre/All Species/All Size Classes - HBd.AllSx = Harvest/Board Feet per Acre/All Species/All Size Classes

46. - SPRAY the Program

47. - Yield Files Strata Proj_Year St_Age/10 Stand_Age StDnIndex CulmMAI-A Qd_Mn_Dia Plt_Acres Trt_Acres LTr.AllSx LAD.AllSx LAH.AllSx VDTD12B1e 2006 8 71.00 29.00 2.09 16.40 1.00 0.00 305.88 16.40 55.00 VDTD12B1e 2016 9 84.00 173.00 19.25 11.87 4.00 0.00 784.76 14.28 73.90 VDTD12B1e 2026 10 94.00 181.00 20.74 8.83 9.00 0.00 437.36 12.76 65.98 VDTD12B1e 2036 11 105.00 211.00 26.85 10.80 12.00 0.00 385.89 15.22 79.08 VDTD12B1e 2046 12 115.00 213.00 25.63 11.43 14.00 0.00 374.90 14.45 76.10 VDTD12B1e 2056 13 125.00 215.00 38.96 11.76 16.00 13.00 401.30 14.70 79.27 VDTD12B1e 2066 15 146.00 299.00 43.15 11.81 1.00 0.00 355.18 12.81 77.69 VDTD12B1e 2076 16 156.00 275.00 38.91 11.70 1.00 0.00 340.25 13.37 81.74 VDTD12B1e 2086 17 166.00 251.00 49.28 12.17 1.00 1.00 276.16 14.01 85.50 VDTD12B1e 2096 18 173.00 68.00 27.77 17.68 1.00 0.00 95.02 17.37 59.59 VDTD12B1e 2106 19 183.00 81.00 27.18 13.91 1.00 0.00 116.31 18.97 65.62 VDTD12B1e 2116 20 194.00 105.00 27.49 9.60 2.00 0.00 140.91 22.51 81.62 VDTD12B1e 2126 21 204.00 134.00 27.43 8.76 2.00 2.00 302.71 20.32 76.12 VDTD12B1r 2136 1 10.00 108.00 564.42 13.55 19.00 0.00 303.70 17.66 83.66 VDTD12B1r 2146 2 20.00 100.00 263.06 7.39 19.00 0.00 520.75 15.53 74.47 VDTD12B1r 2156 3 30.00 83.00 161.04 4.60 19.00 3.00 514.81 8.61 46.21 VDTD12B1r 2166 4 40.00 87.00 120.29 5.32 19.00 0.00 316.34 7.77 44.42 VDTD12B1r 2176 5 50.00 141.00 110.00 7.08 19.00 0.00 267.40 8.96 50.16 VDTD12B1r 2186 6 60.00 212.00 106.56 8.65 19.00 0.00 424.23 10.41 57.75 VDTD12B1r 2196 7 70.00 255.00 103.99 10.13 19.00 0.00 418.65 11.70 64.55 VDTD12B1r 2206 8 80.00 271.00 99.79 11.49 19.00 0.00 355.95 12.91 70.56 VDTD12B1r 2216 9 90.00 273.00 107.51 12.75 19.00 15.00 278.93 14.03 75.86 VDTD12B1r 2226 10 100.00 215.00 91.08 13.42 19.00 0.00 209.73 14.96 79.68 VDTD12B1r 2236 11 110.00 224.00 87.09 14.46 19.00 0.00 182.59 15.76 82.48 VDTD12B1r 2246 12 120.00 227.00 82.65 15.64 19.00 0.00 156.61 16.59 85.15 VDTD12B1r 2256 13 130.00 229.00 78.02 16.88 19.00 0.00 140.02 17.59 88.23 VDTD12B1r 2266 14 140.00 232.00 73.27 17.78 19.00 0.00 141.13 18.67 91.34 VDTD12B1r 2276 15 150.00 229.00 68.28 18.61 19.00 0.00 133.92 19.68 93.98 VDTD12B1r 2286 16 160.00 225.00 63.61 19.08 19.00 0.00 131.80 20.71 96.51 VDTD12B1r 2296 17 170.00 219.00 59.01 19.34 19.00 0.00 130.17 21.51 98.05 VDTD12B1r 2306 18 180.00 212.00 54.69 19.48 19.00 0.00 127.21 22.01 98.37 VDTD12B1r 2316 19 190.00 201.00 50.36 19.39 19.00 0.00 124.03 22.10 97.37 VDTD12B1r 2326 20 200.00 190.00 46.40 19.23 19.00 0.00 120.02 22.00 95.77 VDTD12B1r 2336 21 210.00 179.00 51.60 18.80 19.00 18.00 119.26 21.64 93.47

48. - YEP the Program

49. Questions?