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FVS Out of the Box - Assembly Required Don Vandendriesche USDA Forest Service Forest Management Service Center Growth and Yield Group.

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Presentation on theme: "FVS Out of the Box - Assembly Required Don Vandendriesche USDA Forest Service Forest Management Service Center Growth and Yield Group."— Presentation transcript:

1 FVS Out of the Box - Assembly Required Don Vandendriesche USDA Forest Service Forest Management Service Center Growth and Yield Group

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9 Context: Forest Planning

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

11 Forest Planning Steps I.Forest Stratification II.Data Sources III.Model Calibration IV.Natural Growth Runs V.Treatment Prescriptions VI.Yield Profiles I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

12 I. Forest Stratification - National, broad, and mid-level planning often involves grouping stands of like attributes into vegetation classes. I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

13 - Stand Types: I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

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. I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

16 - Inventory Data I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

17 - Plot Count: Dry Tolerant {Douglas-fir} I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

18 III. Model Calibration I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles - 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 I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles Each FVS variant has its own set of species, growth and mortality functions, volume calculation procedures, etc.

20 - Measured vs. Modeled Trends I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles No Adjustments

21 - FVS: No Adjustments Measured Modeled I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

22 - FVS Self-Calibration I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles 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 I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

24 - Tree Defect I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles Merchantable Volume

25 - Tree Defect I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

26 - Tree Defect Applied Measured Modeled I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

27 IV. Natural Growth Runs I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles - Mortality and regeneration components are difficult aspects to model. One subtracts trees from the ecosystem, the other adds.

28 Stand Density Index (SDI) Trees per Acre Quadratic Mean Diameter (in) ln(D q ) = intercept *ln(TPA) I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

29 - SDI & BA max I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles R1 Dominance GroupSDI MaximumBA Maximum DIP DTD MIW MTC LPP SII STA430200

30 - Stand Size Caps Measured Modeled I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

31 - Tree Mortality I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles 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 I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles 1.Fvs Self-Calibration 2.Tree Defect Applied 3.Stand Size Caps {SDI-max, BA-max} 4.Tree Size Caps

33 - Regeneration Imputation I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles 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 I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles  Relative to stand conditions … Seedling Count? Species Composition?

35 - REPUTE the Program I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles 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 1.Fvs Self-Calibration 2.Tree Defect Applied 3.Stand Size Caps {SDI-max, BA-max} 4.Tree Size Caps 5.Regeneration Imputation - Measured vs. Modeled Trends I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles 1.Fvs Self-Calibration 2.Tree Defect Applied 3.Stand Size Caps {SDI-max, BA-max} 4.Tree Size Caps

37 - Regeneration Imputation Measured Modeled I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

38 - Summarize Assembly Process 1.FVS Self-Calibration {ReadCorD} 2.Tree Defect Applied {Defect} 3.Stand Size Caps {SDImax, BAmax} 4.Tree Size Caps {TreeSzCp} 5.Regeneration Imputation {Natural}

39 V. Treatment Prescriptions I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles - 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 I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

41 - Summary Statistics Table I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles 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

42 - Dry Tolerant: Even-Aged Rx I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

43 VI. Vegetative Yield Profiles I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles - Management plans address contemporary issues such as vegetation structure, disturbance events, and forest health.

44 - Ecosystem Components I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles *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 I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles *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 I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

47 - Yield Files I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles 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 VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1e VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r VDTD12B1r

48 - YEP the Program I. StratificationII. DataIII. CalibrationIV. NaturalV. TreatmentsVI. Profiles

49 Questions?


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