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WMPZ Veg Yld Tables

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WMPZ Veg Yld Tables Clearwater and Nez Perce National Forests Construction of Vegetative Yield Profiles for Forest Plan Revision March 2006 by: Don Vandendriesche USDA Forest Service, WOD Forest Management Service Center Fort Collins, Colorado Clearwater and Nez Perce National Forests Vegetative Yield Profiles Page Table of Contents I. Forest Stratification 1 II. Data Sources 4 III. Model Calibration 9 IV. Natural Growth Runs 13 V. Treatment Prescriptions 34 VI. Yield Profiles 45 Conclusions 59 Appendix I – Plot Distribution {Collapsed} 60 Appendix II – Tree Species Codes 61 Appendix III – Silvicultural Prescriptions 62 Appendix IV – Special FVS Techniques 98 Acknowledgements: • Kris Hazelbaker, Ecologist/Silviculturist CNPZ, Clearwater NF • Kendrick Greer, Spectrum Modeler, MBG I. Forest Stratification The Spectrum forest planning model will be used to allocate vegetation treatments on the Clearwater/Nez Perce Planning Zone (CNPZ). Spectrum aids in determining a schedule of activities to move existing vegetation toward desired future conditions. Analysis Areas Traditionally, strategic level planning involves grouping stands of like attributes into stand types or land classes. This approach is referred to as “strata-based” planning and the individual land classes are often called “stratum” or “analysis areas”. There are six land stratification layers available in the Spectrum model. Not all were used. The Forest’s geographic information system (GIS) was engaged to determine the number of acres in each combination of attributes across the six layers. They are defined as follows: Layer 1 – Vegetation Desired Future Condition Areas Six Landtype Association Groups or Ecoregion Section Settings comprise the Clearwater/Nez Perce Planning Zone. These areas were stratified as follows: lookup level1 LEVEL1 Description L1_aaname Code B333 Bitterroot Mtns. (M333D) Breaklands B U333 Bitterroot Mtns. (M333D) Uplands U S333 Bitterroot Mtns. (M333D) Subalpine S B332 Idaho Batholith (M332A) Breaklands K U332 Idaho Batholith (M332A) Uplands R S332 Idaho Batholith (M332A) Subalpine C Layer 2 – Roadless Status Roadless areas are of great importance to many interest groups. Including roadless status attributes simplifies reporting of outputs. Two classes regarding road status were identified as follows: lookup level2 LEVEL2 Description L2_aaname Code rdls Roadless and undeveloped R nrdls Roaded and developed N Layer 3 – Timber Suitability Management areas were grouped into classes with similar timber production capability. Three classes were designated as follows: 1 lookup level3 LEVEL3 Description L3_aaname Code NSNMgt Not Available or Not Suited; N No Timber Harvest Allowed Selway-Bitterroot Wilderness Gospel Hump Wilderness River of No Return Wilderness Non-forest Not capable of producing commercial wood Research Natural Areas Wild Rivers SNProd Generally Suitable for Timber Harvest for other resource objectives, no scheduled output Riparian conservation areas Pilot Knob special interest area Native fish stronghold watersheds SNProd Generally Suitable for Timber Harvest for other P resource objectives, scheduled output Scenic and Recreational Rivers Special Interest Areas Landslide prone lands Most inventoried roadless lands due to low economic viability without road construction National Historic Landmark Developed Recreation Areas Administrative Sites STProd Suited for Timber Production S All other lands Layer 4 – Resource Condition Zones Resource condition zones were identified to reflect specific areas where objectives other than timber would impact harvest schedules. Anticipated resource constraints included the following: lookup level4 LEVEL4 Description L4_aaname Code Lcons Lynx habitat – conserve watershed L Lrest Lynx habitat – restore watershed H Cons Non-Lynx habitat – conserve watershed C Rest Non-Lynx habitat – restore watershed R Layer 5 – Vegetation Cover Types Spatial data from the V-map project and existing PVT maps were used to identify the various overstory vegetation layers. The individual cover types were group for yield table construction as follows: 2 lookup level5 LEVEL5 Description L5_aaname Code WDI Ponderosa Pine P WDT Dry Douglas-fir/Grand Fir D MI Mesic Douglas-fir mix W MT Grand Fir/Western Red Cedar C SI Cold Douglas-fir mix I ST Subalpine Fir mix A LP Lodgepole Pine L Layer 6 – Size Class Dominant size class was used to attribute the vegetation structure. Size classes for the Spectrum model were derived from V-map polygon data. Six size classes were identified as follows: lookup level6 LEVEL6 Description L6_aaname Code sdsp Seedling and Sapling (0” – 5”) S small Small (5” – 10”) P med Medium (10” – 15”) M large Large (15”+) L nfor None N 3 II. Data Sources Two types of data were used for the CNPZ plan revision project: spatial and temporal. The spatial data was compiled from remote sensed, satellite imagery and the rendering project will be referred to as V-Map. Acreage compilation was accomplished by summing the various analysis areas residing within the V-Map polygons. Temporal data is gathered during a field inventory. Place-in-time attributes are collected to provide an estimate of forest stand conditions. The Forest Service, Forest Inventory and Analysis Unit, is mandated to conducted field inventories of all forested lands within the United States. Data derived from this survey will be referred to as FIA. The Northern Region of the National Forest System maintains number of permanent growth plots scattered throughout the various National Forests in Region 1. Initially established in the late 1970’s and early 1980’s, these plots have been remeasured on a 5-year basis. Active samples from the Clearwater and Nez Perce National Forests that were measured in the same timeframe as the most recent FIA measurement were assembled and used for this analysis. Data derived from this plot set will be referred to as R-1 PGP. Inventory values provided from FIA and R-1 PGP data render per acre estimates. When the spatial data is multiplied by temporal data, total strata estimates are generated. Inventory Data With respect to the Clearwater and Nez Perce National Forests in Idaho, the following table summarizes the FIA and R-1 PGP inventory sampling scheme utilized for the construction of vegetation yield tables for forest plan revision: FIA Design National Proclaimed Inventory Measurement Plot Forest State Method Years Sample Clearwater Idaho Periodic 1998-2002 305 Clearwater Idaho Perm Growth 1998-2002 26 Nez Perce Idaho Periodic 2000-2002 339 Nez Perce Idaho Perm Growth 1997-2001 42 Total: 712 Stand Type Delineations In order to associate V-Map acreage delineations with inventory data estimates, a common stand type naming convention needed to be adopted. The following codes convention was used: Vegetation V-Map FVS Description Code Code WDI Dry Intolerant: Ponderosa Pine DIP WDT Dry Tolerant: Douglas-fir DTD 4 Vegetation V-Map FVS Description Code Code MI Mesic Intolerant: White Pine MIW MT Mesic Tolerant: Western Red Cedar MTC SI Subalpine Intolerant: IMXS SII ST Subalpine Tolerant: Subalpine Fir STA LP Lodgepole Pine LPP Prior to assigning the inventory plot sample to their associated vegetation type, a split between dry, mesic, and subalpine moisture regimes needed to be applied. Habitat typing was used to determine the break. The following codes were employed to differentiate warm to cold cover types: Warm/Cold Assignment V-Map Habitat Codes Code Dry 130, 140, 170, 190, 210, 220, 250, 260, 261, 263, 280, 310, 320, 322, 323, 330, 340, 505, 506, 507, 508, 510, 511, 515 Mesic 516, 517, 518, 519, 520, 521, 524, 525, 526, 529, 530, 531, 533, 534, 535, 540, 541, 542, 545, 546, 547, 548, 560, 570, 571, 573, 574, 578, 579, 591, 592 Subalpine 510, 511, 512, 515, 523, 590, 591, 592, 620, 621, 624, 625, 636, 637, 640, 650, 652, 655, 670, 671, 672, 673, 674, 676, 677, 680, 681, 682, 686, 690, 691, 692, 693, 694, 710, 711, 712, 713, 720, 750, 830, 860 A cross-walk was established to correlate the V-Map Cover Labels with the Region 1 Dominance Types. The following list was used: Cover Labels FVS V-Map Prescription Habitat Type R1 Dominance Code Strata Group Group Types DIP PP, IMXS Ponderosa pine Warm, dry PIPO, PIPO-1MIX, IMXS DTD TGCH, DF, GF Dry DF/GF Warm, dry TGCH, PSME, PSME- 1MIX, ABGR, ABGR-1MIX MIW DF, L, WP, IMXS Mesic DF mix Mesic IMXS, PSME, PSME- 1MIX, LAOC, LAOC- 1MIX, PIMO MTC TGCH, GF, C Grand fir/Cedar Mesic TGCH, ABGR, ABGR-1MIX, THPL, THPL-1MIX SII IMXS, DF, L Cold DF mix Cold IMXS, PSME, PSME- 1MIX, LAOC, LAOC- 1MIX, PIAL, PIAL-1MIX STA TASH, AF, ES Subalpine fir mix Cold TASH, ABLA, ABLA- 1MIX, PIEN, PIEN- 1MIX, 5 LPP LP Lodgepole pine Any PICO, PICO-1MIX Average overstory tree diameter can be used to define the dominant size class of a forest stand. Region 1 computes basal area weighted mean diameter to determine average overstory tree diameter. The following table identifies tree diameter class breaks that are implemented by Region 1 for base- and mid-level mapping. Size Class V-Map FIA Description Code Code sdsp Seedling and Sapling (0” – 5”) E small Small (5” – 10”) S med Medium (10” – 15”) M large Large (15”+) L nfor None N The FIA forest cover typing algorithm that is embedded within the Forest Vegetation Simulator was used to determine size class. A keyword component file was written to determine the comparable size class to the R1 size class definition. V-Map cover type, R1 dominance type, and FIA size class labels were appended to each FIA plot to enable sorting the data set into their representative vegetative stand type. The following table depicts the sample distribution. Note that there was one or less sample plots available to represent the small size class for the Dry-Intolerant and Dry-Tolerant, V-Map and R-1 Dominance Types. For these situations, the small size class was combined with the seedling-sapling size class for vegetation yield file construction. Refer to Appendix I for the plots counts by forest type and size class that were used for analysis purposes.
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