US Forest Service - Region One

Potential Vegetation Type (PVT) Classification of Western Montana and Northern Idaho (2004)

Metadata also available as

Metadata:
Identification_Information:
Citation:
Citation_Information:
Originator: USDA Forest Service, Northern Region
Publication_Date: 10/04/2004
Title:
Potential Vegetation Type (PVT) Classification of Western Montana and Northern Idaho (2004)
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Kalispell, Montana
Publisher: USDA Forest Service, Northern Region
Online_Linkage: <http://www.fs.fed.us/r1/gis/thematic_data/pvt_vmp1004.zip>
Description:
Abstract:
Potential Vegetation Types (PVT) mapping units delineate areas having similar biophysical environments (e.g., similar climate and soil characteristics). PVT was modeled from spatially referenced field data having a reference to habitat type (Pfister et al. 1977, Mueggler and Stewart 1980, Cooper et al. 1991). Individual habitat types were aggregated, simplifying our PVT classification to 35 types (24 forest types, 3 shrubland types, 3 grassland types, 1 alpine type, and 4 non-vegetated types). We used a nearest neighbor technique, that extrapolated plot-level data (i.e., points) across the spatial domain by using precipitation, temperature, solar radiation, potential lifeform, elevation, aspect, slope, and soils data.
Purpose:
These data were prepared to supplement other data to assess integrated risks and opportunities at regional and sub-regional scales. Most scientific characterizations of ecosystems or assessments of watersheds can be enhanced by the use of some biophysical strata to help partition the natural variability in ecosystem components that occurs across landscapes. All ecosystem processes are constrained within the limits of their biophysical environment. Thus, PVTs are useful for characterizing terrestrial ecosystems that have similar disturbance processes and subsequent fine-scale patterns (e.g., species composition, stand structure, standing and downed wood, etc.). PVTs are a critical data component needed for modeling disturbance processes and their subsequent effects. We derived the PVT theme specifically to support the following models: Historical fire regimes Current fire severity Fire-regime condition class Fire-behavior fuel models Crown fire behavior Crown bulk density Height-to-crown Stand height Wildlife habitats Weed susceptibility and threat General Limitations These data were derived using field plots from many different sources (e.g., FSVEG, ECODATA, FIA, DNRC) as well as remotely sensed data (e.g., satellite imagery, DEMs). The sampling designs for collecting these data were not intended to sample across environmental gradients. The spatial distribution of field plots was extremely variable. In general, expected accuracy is believed to be much lower in areas where plot data was sparse and relatively higher in areas with concentrated plot locations. These data were designed to characterize broad scale patterns for regional and subregional assessments. Any decisions based on these data should be supported with field verification, especially at scales finer than 1:100,000. Although the resolution of the PVT theme is at a 90 meter cell, the expected accuracy does not warrant their use for analyses of areas smaller than about 10,000 acres (for example, assessments that typically require 1:24,000 data). The data provide a coarse-filter approach to ecosystem assessments. Consequently, not every occurrence of every PVT is mapped; instead, only larger, more generalized distributions of certain types were mapped.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 10/04/2004
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -117.447379
East_Bounding_Coordinate: -112.697464
North_Bounding_Coordinate: 49.188296
South_Bounding_Coordinate: 45.232188
Keywords:
Theme:
Theme_Keyword_Thesaurus: none
Theme_Keyword: National Fire Plan
Theme_Keyword: Potential Vegetation Type
Theme_Keyword: Potential Natural Vegetation
Theme_Keyword: habitat type
Theme_Keyword: biophysical environments
Theme_Keyword: fire behavior
Theme_Keyword: fire risks
Theme_Keyword: fire effects
Place:
Place_Keyword: Montana
Place_Keyword: Idaho
Place_Keyword: Northern Region
Place_Keyword: Region One
Place_Keyword: Western Region One
Place_Keyword: Bitterroot National Forest
Place_Keyword: Clearwater National Forest
Place_Keyword: Flathead National Forest
Place_Keyword: Nez Pierce National Forest
Place_Keyword: Lolo National Forest
Place_Keyword: Idaho Panhandle National Forest
Place_Keyword: Kootenai National Forest
Access_Constraints:
: This data set is in the public domain, and the recipient may not assert any proprietary rights thereto nor represent it to anyone as other than a data set produced by the USDA Forest Service, Flathead National Forest.
Use_Constraints:
This data set is provided "as-is" without warranty of any kind, including, but not limited to, the implied warranties of merchantability and fitness or a particular purpose. The user assumes all responsibility for the accuracy and suitability of this dataset for a specific application. In no event will the creators or USDA Forest Service be liable for any damages, including lost profits, lost savings, or other incidental or consequential damages arising from the use of or inability to use this dataset. Use of these data may require the ability to read ArcInfo Grid datasets. Users must assume responsibility for determining the suitability of these data for their purposes.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jeff Jones
Contact_Organization: USDA Forest Service
Contact_Position: Ecologist
Contact_Address:
Address_Type: mailing and physical address
Address: 1935 3rd Ave East
City: Kalispell
State_or_Province: MT
Postal_Code: 59901
Contact_Voice_Telephone: (406) 758-5341
Contact_Facsimile_Telephone: (406) 758-5363
Contact_Electronic_Mail_Address: jjones@fs.fed.us
Hours_of_Service: Monday throught Friday 8-4 Mountain Time
Native_Data_Set_Environment:
Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 3; ESRI ArcCatalog 8.3.0.800
Cross_Reference:
Citation_Information:
Back to Top
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Input data sources Digital Elevational Model (DEM), DAYMET climate datasets, Landcover Vegetation datasets (VMAP potential Lifeform), STATGO Soils data, and PVT point data were used as is. Accuracy of the attributes as well as the positional accuracy can be found with the respective metadata.

Accuracy of this dataset is not known

Logical_Consistency_Report:
All attributes were checked for consistency. Some "inconsistencies " were maintained due to differences between datasets. Clean-up of the inconsistencies between the PVT model output and the VMAP Lifeform datasets is discussed in the process steps.
Completeness_Report:
Potential Vegetation Types (PVT) dataset will be updated infrequently as determined is neccesary.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
This is basically 1:100000 scale (100K) data with a horizontal accuracy of approximately 170 feet.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 1994
Title: State Soil Geographic (STATSGO) database
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher:
U.S. Department of Agriculture, Natural REsources Conservation Service
Online_Linkage: <http://www.soils.usda.gov/survey/geography/statsgo/>
Source_Scale_Denominator: 1:250,000
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: STATSGO
Source_Contribution:
This dataset was used to break-up the analysis area into more manageable areas for processing through the k-nearest neighbor (KNN) program. The dataset was then used to provide soils information for use in the KNN model.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey, EROS Data Center
Publication_Date: 02/01/1999
Title: National Elevation Dataset
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Sioux Falls, South Dakota
Publisher: U.S. Geological Survey
Online_Linkage: <http://www.usgs.gov/ngpo/>
Source_Scale_Denominator: Raster data, 30 meter cell size
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: DEM
Source_Contribution:
The data was used to create topographical elevation, slope, and aspect datasets. The original U.S. Geological Survey data was clipped and re-projected by USDA Forest Service Northern Region.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Numerical Terradynamic Simulation Group (NTSG)
Publication_Date: 6/15/2001
Title:
U.S. DAYMET Climatological Summaries for the Conterminous United States, 1980-1997
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Missoula, Montana
Publisher:
Numerical Terradynamic Simulation Group (NTSG), The School of Forestry, University of Montana
Online_Linkage: <http://www.ntsg.umt.edu/>
Source_Scale_Denominator: Raster data, 1 kilometer cell size
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: CLIM
Source_Contribution:
The dataset was used to provide total precipitation (pt), total growing degree days (td), and daily shortwave radiation (rd) information for the analysis area
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Northern Region
Publication_Date: 10/01/1996
Title: Ecological Unit Subsections for Region 1
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Missoula, MT
Publisher: USDA Forest Service, Northern Region
Online_Linkage:
<http://www.fs.fed.us/r1/gis/thematic_data/ecological_subsections_r1_500k.zip>
Source_Scale_Denominator: 1:500,000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: ECO SECTIONS
Source_Contribution:
Ecological Unit Subsections for Region 1 were used to break up the analysis area into more manageable units.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
USDA Forest Service, Northern Region, Engineering, Geospatial Group
Publication_Date: 04/01/2004
Publication_Time: Unknown
Title: Vegetation (vmap - lifeform) for western Region 1
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Missoula, MT
Publisher:
USDA Forest Service, Northern Region, Engineering, Geospatial Group
Online_Linkage:
<http://www.fs.fed.us/r1/gis/thematic_data/vegetation_vmap_lifeform_w_r1.zip>
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: LIFEFORM
Source_Contribution:
This dataset was used in the development of the potential lifeform dataset for Idaho. Sparsely Vegetated and Water classifications were used to determine water and sparsely vegetated classifications for PVT outputs. Additionally, lifeform information was used for validation and correction of Potential Vegetation Type (PVT) - cover type combinations.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Wildlife Spatial Analysis Lab
Publication_Date: 11/15/2001
Title:
Mapping Existing Vegetation and Land Cover across Montana and Northern Idaho; also known as Satellite Image Landcover Classification (SILC-1)
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Missoula, Montana
Publisher: Wildlife Spatial Analysis Lab, The University of Montana
Source_Scale_Denominator: 1:100000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: SILC1
Source_Contribution:
This dataset was used in the creation of the potential vegetation for Northern Idaho. Agriculture and Urban classifications from this dataset and the SILC3 dataset were used to determine agriculture and urban classifications for PVT outputs.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
USDA Forest Service, Northern Region, Engineering, Geospatial Group
Publication_Date: 07/15/2004
Title: POT_LIFEFORM
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Missoula, MT
Publisher:
USDA Forest Service, Northern Region, Engineering, Geospatial Group
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: MT POTVEG
Source_Contribution:
This dataset was used in the KNN model to restrict PVT outputs to their respective potential lifeform.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Northern Region
Publication_Date: 06/01/2004
Title:
Strata Polygons for Developing Potential Vegetation Type (PVT) Classification
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Kalispell, Montana
Publisher: USDA Forest Service, Northern Region
Source_Scale_Denominator: 1:100000
Type_of_Source_Media: disc
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: ECO MOD
Source_Contribution:
Used to break-up the analysis area into more manageable areas for processing through the k-nearest neighbor (KNN) program. Boundaries delineated from analysis area using DEM, DAYMET Climate Summaries, Ecological Units of the Northern Region, and STATSGO soils data.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Northern Region
Publication_Date: Unpublished Material
Title: Points for Modeling Potential Vegetation Type
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Kalispell, MT
Publisher: USDA Forest Service, Northern Region
Source_Scale_Denominator: 1:24000
Type_of_Source_Media: electronic mail system
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: PVT POINTS
Source_Contribution:
Potential Vegetation Type (PVT) point dataset was used in modeling the PVT dataset. Dataset includes information from various agencies and projects within Montana and northern Idaho
Source_Information:
Source_Citation:
Citation_Information:
Originator: Wildlife Spatial Analysis Lab
Publication_Date: 06/30/2001
Publication_Time: Unknown
Title: SILC3 Land Cover Classification
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Missoula, Montana
Publisher: Wildilfe Spatial Analysis Lab, The University of Montana

Back to Top

Source_Scale_Denominator: 1:60000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: SILC3
Source_Contribution:
Agriculture and Urban classifications from this dataset and the SILC1 dataset were used to determine agriculture and urban classifications for Potential Vegetation Type (PVT) outputs.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Northern Region
Publication_Date: Unpublished Material
Title: KNN Model
Geospatial_Data_Presentation_Form: model
Type_of_Source_Media: computer program
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: KNN
Source_Contribution:
This model was used to predict the Potential Vegetation Types (PVT) using a nearest neighbor method.
Source_Information:
Source_Citation:
Citation_Information:
Originator: SYSTAT Software, Inc
Title: SYSTAT 11.0
Edition: 11.0
Publication_Information:
Publication_Place: Point Richmond, CA
Publisher: SYSTAT Software, Inc
Online_Linkage: <http://www.systat.com>
Type_of_Source_Media: computer program
Source_Time_Period_of_Content:
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: SYSTAT
Source_Contribution:
SYSTAT software was used to perform a discriminant analysis of each datset used in the KNN model. The output of the discriminant analysis was used in determining weights for each dataset used in the KNN model.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Northern Region
Publication_Date: 2004
Title: Boundary for Region 1
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Missoula, MT
Publisher: USDA Forest Service, Northern Region
Online_Linkage:
<http://www.fs.fed.us/r1/gis/thematic_data/boundary_region1_100k.zip>
Source_Scale_Denominator: 1:100,000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2004
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: R1 ADMIN
Source_Contribution:
The Region One Administrative boundaries coverage was used to merge the Northern Idaho Potential Vegetation Type output with the Western Montana Potential Natural Vegetation output along the Montana-Idaho state line.
Process_Step:
Process_Description:
Four percent composition layers and one maximum depth layer were derived. The four percent composition layers derived are percent clay, percent coarse, percent sand, and percent silt. To derive these five layers the following inputs were used: Statsgo polygon coverage, Statsgo database file, and a four-slope class derived from the DEM layer (1 = 0-4% slope, 2 = 4-8% slope, 3 = 8-15% slope, 4 = 15+% slope). For each statsgo polygon by slope class (MUID) the following calculations were made to determine each of the five outputs. Refer to Statsgo Soils metadata and data tables for detailed descriptions of each element used in the calculations. LAYDEPC = LAYDEPTH - LAYDEPL COARSE_L = (100- ((NO10H = NO10L)/2))*LAYDEPC If NO200L^=. And NO200H^=. Then do; LAYDEPS = LAYDEPT - LAYDEPL; SAND_L = (((NO10L+NO10H)/2)-((NO200L=NO200H)/2))*LAYDEPS; IF NO200L^=. And NO200H^=. And CLAYL^=. And CLAYH^=. Then do: LAYDEPO = LAYDEPH - LAYDEPL; CLAY_L = (((CLAYL+CLAYH)/2)*((NO200L=NO200H)/2)/100) SILT_L = (((NO200L+NO200H/2)-CLAY_L) CLAY_L = CLAY_L*LAYDEPO SILT_L = SILT_L*SILTDEPO IF LAYDEPC^=. Then COARSE_S = COARSE_L/LAYDEPC IF LAYDEPS^=. Then SAND_S = SAND_L/LAYDEPC IF LAYDEPO^=. Then do CLAY_S = CLAY_L/LAYDEPO SILT_S = SILT_L/LAYDEPO Find Maximum of LAYDEPH = MAXDEP IF MAXDEP^=. Then do COMPP_D= COMPPCT MAXDEP_M=(MAXDEP*COMPP_D) IF COARSE_S^=. Then do COMPP_C = COMPPCT COARSE_M = (COMPP_C*COARSE_S) If SAND_S^=. Then do COMPP_S = COMPPCT SAND_M = (COMPP_S*SAND_S) IF SILT_S^=. Then do COMPP_O = COMPPCT SILT_M = (COMPP_O*SILT_S) CLAY_M = (COMPP_O*CLAY_S) If COMPP_D ^=. Then MAXDEP = MAXDEP_M/COMPP_D If COMPP_C^=. Then COARSE = COARSE_M/COMPP_C If COMPP_S^=. Then SAND = SAND_M/COMPP_S IF COMPP_O^=. Then do CLAY= CLAY_M/COMPP_O SILT= SILT_M/COMPP_O IF MAXDEP=. then MAXDEP = -1 IF COARSE=. then COURSE = -1 IF SAND=. then SAND = -1 IF CLAY=. then CLAY = -1

After these calculations were performed by Statsgo Polygon by Slope class (MUID) an output grid that contained each MUID attributed with Sand, Silt, Coarse, Clay, and Maxdepth was created. Each of the five individual grid layers were created by reclassifying each grid by the five attributes. Each of the individual grids were reprojected, resampled from 30m cells to 90m cells using nearest-neighbor assignment and snapped to the MT POTVEG and ID POTVEG. The floating point grids were converted to integer.

Source_Used_Citation_Abbreviation: STATSGO
Source_Used_Citation_Abbreviation: DEM
Source_Produced_Citation_Abbreviation: SAND
Source_Produced_Citation_Abbreviation: SILT
Source_Produced_Citation_Abbreviation: CLAY
Source_Produced_Citation_Abbreviation: COURSE
Source_Produced_Citation_Abbreviation: MAXDEPTH
Process_Step:
Process_Description:
Data was copied from CDs containing climatological summaries for the conterminous United States 1980-1997. The data has been summarized on an annual basis (18 year mean). The summaries can be accessed at www.daymet.org. The data contain total precipitation, daily shortwave radiation, and total growing degree days. The data was reprojected, resampled from 1000m to 30m cell size using bilinear interpolation. The data were then resampled to 90m using nearest-neighbor assignment and snapped to the MT POTVEG and ID POTVEG grids. The floating point grids were converted to integer.
Source_Used_Citation_Abbreviation: CLIM
Process_Date: Unknown
Source_Produced_Citation_Abbreviation: PT
Source_Produced_Citation_Abbreviation: TD
Source_Produced_Citation_Abbreviation: RD

 

 

 

Process_Step:
Process_Description:
DEM data was used to create topographic grids of elevation, slope and aspect classes. The data was reprojected, resampled from 1000m to 30m cell size using bilinear interpolation. The data were then resampled to 90m using nearest-neighbor assignment and snapped to the MT POTVEG and ID POTVEG grids. The resampled DEM data was directly used for the elevation grid. Slope was created using spatial analyst in ArcMap and reclassified using the following 4 classes: <=10%; 11-30%; 31-60%; and >60%. Aspect was created using spatial analyst in ArcMAP and reclassified into the following 3 classes: 1 to 80, 351-360 degrees; flat, 81-170, 261-350; and 171-260.
Source_Used_Citation_Abbreviation: DEM
Process_Date: 05/28/2004
Source_Produced_Citation_Abbreviation: ELEV
Source_Produced_Citation_Abbreviation: ASP
Source_Produced_Citation_Abbreviation: SLP
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Address:
Back to Top
Process_Step:
Process_Description:
Potential Vegetation for Idaho was created by combining VMAP LF resampled to 30 meter cells with SILC1. When VMAPLF = Tree, Shrub, or Grass and SILC1 = Tree, ID POTVEG was recoded to tree. The ten year difference between the two datasets made an adequate change comparison analysis to locate areas that are currently non-tree types due to harvest or fire and recode them to tree potential lifeform. The data was then reprojected and resampled from 30m cells to 90m cells using nearest-neighbor assignment.
Source_Used_Citation_Abbreviation: SILC1
Source_Used_Citation_Abbreviation: LIFEFORM
Process_Date: 08/31/2004
Source_Produced_Citation_Abbreviation: ID POTVEG
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Address:
Process_Step:
Process_Description:
Due to the size of the datasets the area had to be broken down into smaller areas or Ecoregion models. These smaller datasets increased the efficiency of the PVT modeling process as well as reduced the amount of variability within a modeling unit. The regions were created by digitizing the Ecoregion Model polygons in ArcMAP. The model boundaries were determined by viewing the STATSGO, CLIM, DEM, and ECO SECTIONS data in an ArcMAP project. Boundaries were based on where visible breaks in the data occurred such as ridgelines, valley bottoms, significant soils composition changes, and often followed ECO SECTION Boundaries. Each modeling unit was concluded to be similar in climate, soils, and topography.
Source_Used_Citation_Abbreviation: ECO SECTIONS
Source_Used_Citation_Abbreviation: MAXDEPTH
Source_Used_Citation_Abbreviation: SILT
Source_Used_Citation_Abbreviation: SAND
Source_Used_Citation_Abbreviation: CLAY
Source_Used_Citation_Abbreviation: COARSE
Source_Used_Citation_Abbreviation: PT
Source_Used_Citation_Abbreviation: RD
Source_Used_Citation_Abbreviation: TD
Source_Used_Citation_Abbreviation: ELEV
Source_Used_Citation_Abbreviation: ASP
Source_Used_Citation_Abbreviation: SLP
Process_Date: 06/01/2004
Source_Produced_Citation_Abbreviation: ECO MOD
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Process_Step:
Process_Description:
Each of the individual Ecoregion Models were buffered by 5000m. Each of the individual regions were exported so that each polygon was an individual coverage. The coverages were then converted from vector to 90m grids snapped to the MT POTVEG and ID POTVEG.
Source_Used_Citation_Abbreviation: ECO MOD
Process_Date: 06/01/2004
Source_Produced_Citation_Abbreviation: IND ECO MOD
Process_Step:
Process_Description:
Each buffered Ecoregion Model boundary was used to clip each of the layers used in the KNN Model. Layers included were SILT, SAND, CLAY, COARSE, MAXD, SLP, ASP, ELEV, PT, RD, TD, MT or ID POTVEG
Process_Date: 07/01/2004
Process_Step:
Process_Description:
For each Ecoregion Model an Arcmap Project is created. Included in each project is each of the clipped grid layers clipped in the previous step, a polygon coverage of the buffered ecoregion model, and the PVT POINT coverage that contains the modeling data.
Process_Date: 08/01/2004
Process_Step:
Process_Description:
The KNN model program has a function that attributes each point within a Ecoregion Model with all the data layers in the ArcMAP project. The program creates a text output of each point with the associated attributes.
Source_Used_Citation_Abbreviation: CLAY
Source_Used_Citation_Abbreviation: COARSE
Source_Used_Citation_Abbreviation: MAXDEPTH
Source_Used_Citation_Abbreviation: SAND
Source_Used_Citation_Abbreviation: SILT
Source_Used_Citation_Abbreviation: PT
Source_Used_Citation_Abbreviation: RD
Source_Used_Citation_Abbreviation: TD
Source_Used_Citation_Abbreviation: SLP
Source_Used_Citation_Abbreviation: ASP
Source_Used_Citation_Abbreviation: ELEV
Source_Used_Citation_Abbreviation: PVT POINTS
Process_Date: 09/01/2004
Source_Produced_Citation_Abbreviation: ATTRIBUTE TXT
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Process_Step:
Process_Description:
A discriminant analysis helps determine which values are most useful in discriminating one group from another. In this case a discriminant analysis, using SYSTAT 11.0 software, is used to determine which data (such as soils, climate, or topography) works better to predict PVT. The discriminant analysis was conducted by taking the text output of each PVT POINT attributed with the values for each data used in the KNN Model (ATTRIBUTE TXT). These data were standardized between 0 and 1 to put each of the variables at the same scale. After standardization, the discriminant analysis was run using a multiple group (canonical) discriminant model. The output includes a F-to-remove statistic that was used to determine the relative importance of the variables. The F-to Remove statistic was then rescaled from 0 to 1 where 1 is the most important variable in determining PVT. The rescaled values were then used as weights in the KNN Model.
Source_Used_Citation_Abbreviation: SYSTAT
Source_Used_Citation_Abbreviation: ATTRIBUTE TXT
Process_Date: 09/01/2004
Source_Produced_Citation_Abbreviation: WEIGHTS
Process_Step:
Process_Description:
The KNN model is an ArcGIS extension. This model works with the PVT point coverage that contains the PVT classification (or legend). The algorithm used in the KNN model takes the points, looks up their corresponding information of each of the grid layers in the project. The model then obtains the grid layer values for all other cells and runs a Euclidean distance on each of the known points for each unknown point. This finds the "nearest-neighbor" point for each unknown cell and attributes it with the value of that point. For Each Ecoregion Model unit the KNN Model is run. The output is a grid attributed with the PVT classification.
Source_Used_Citation_Abbreviation: ELEV
Source_Used_Citation_Abbreviation: ASP
Source_Used_Citation_Abbreviation: SLP
Source_Used_Citation_Abbreviation: SAND
Source_Used_Citation_Abbreviation: SILT
Source_Used_Citation_Abbreviation: CLAY
Source_Used_Citation_Abbreviation: COARSE
Source_Used_Citation_Abbreviation: MAXDEPTH
Source_Used_Citation_Abbreviation: PT
Source_Used_Citation_Abbreviation: TD
Source_Used_Citation_Abbreviation: RD
Source_Used_Citation_Abbreviation: PVT POINTS
Source_Used_Citation_Abbreviation: ID POTLIF or MT POTLIF
Source_Used_Citation_Abbreviation: WEIGHTS
Process_Date: 09/04/2004
Source_Produced_Citation_Abbreviation: IND PVT
Process_Step:
Process_Description:
To merge the IND PVT outputs together by model the ECO MOD coverage was converted from vector to a 90m grid snapped to the MT POTLIF and ID POTLIF. Each of the outputs were then filled into their respective ECO MOD. This process was completed with the following commands in ArcINFO: if (ECO MOD == 1) PVT = IND ECO MOD 1 else if (ECO MOD == 2) PVT = IND ECO MOD 2 else if (ECO MOD == 3) PVT = IND ECO MOD 3

This command structure was continued to include all of the 28 IND ECO MOD areas. This process essentially clipped the PVT output back to their original extent and merged them together.

Source_Used_Citation_Abbreviation: IND PVT
Process_Date: 09/04/2004
Source_Produced_Citation_Abbreviation: MT PVT
Source_Produced_Citation_Abbreviation: ID PVT
Process_Step:
Process_Description:
The Northern Idaho PVT models were run in a different projection than the Western Montana PVT Models. The ID PVT output was then reprojected and snapped to the same projection and snap grid as the MT PVT outputs.
Source_Used_Citation_Abbreviation: MT PVT
Source_Used_Citation_Abbreviation: ID PVT
Process_Date: 09/04/2004
Source_Produced_Citation_Abbreviation: ID PVT RPJ
Process_Step:
Process_Description:
To merge ID PVT RPJ and MT PVT the R1 ADMIN coverage was converted from vector to a 90m grid snapped to the MT PVT merged output. The MT PVT and ID PVT RPJ was then filled into their respective administrative state boundaries. This process was completed with the following commands in ArcINFO: if (ADMIN == Idaho) PVT1 = ID_PVT_RPJ else if (ADMIN == Montana) PVT1 = MT_PVT
Source_Used_Citation_Abbreviation: MT PVT
Source_Used_Citation_Abbreviation: ID PVT RPJ
Source_Used_Citation_Abbreviation: ADMIN
Process_Date: 09/04/2004
Source_Produced_Citation_Abbreviation: PVT1
Process_Step:
Process_Description:
Due to change in registration when then the ID PVT layer was reprojected and snapped to the MT PVT output a small sliver of no data was discovered along the Idaho-Montana state line. This area was filled using ArcINFO command NIBBLE. This command filled the area of NODATA with the nearest-neighbor values based on the Euclidean Distance Algorithm.
Source_Used_Citation_Abbreviation: PVT1
Process_Date: 09/10/2004
Source_Produced_Citation_Abbreviation: PVT2

Back to Top 

Process_Step:
Process_Description:
During the PVT Modeling process the ID POTLIF and MT POTLIF are used to constrain the PVT outputs to their respective lifeform. Fore example, if MT POTLIF = shrub, then all the PVT outputs should only be shrub pvt types. In areas where there was a relatively small number of PVT POINTS the KNN model would predict PVT types that were not on the correct potential lifeform. For example a shrub PVT type would be found on a tree potential lifeform. To locate these inconsistencies the PVT output was combined with the LIFEFORM grid to locate areas of incorrect PVT-LIFEFORM combinations
Source_Used_Citation_Abbreviation: PVT2
Process_Date: 09/10/2004
Source_Produced_Citation_Abbreviation: PVTLF
Process_Step:
Process_Description:
Areas with PVT- Lifefrom inconsistencies were recoded using the grid function EUCALLOCATION. This command was used to reclassify those areas where a pvt-lifeform inconsitencies occurred with the nearest correct pvt. To use this command, areas with inconsistencies within tree lifeform and shrub lifeform were masked. The rest of the correct PVTs for tree and shrub were masked. The grid function EUCALLOCATION then assigns a value to the grid cell in the inconsistencies mask from a value in the correct PVT mask based on the closest cell. This output was then merged with the PVTLF to create PVT3.
Source_Used_Citation_Abbreviation: PVTLF
Process_Date: 09/12/2004
Source_Produced_Citation_Abbreviation: PVT3
Process_Step:
Process_Description:
Within the lifeform areas of Sparsely Vegetated and Water there were no PVT POINTS. The KNN model would still predict PVT outputs for these areas. To return these values back to Sparsely Vegetated and Water these areas were reclassified using the LIFEFORM grid. Where LIFEFORM = Sparsely Vegetated or LIFEFORM = Water, PVT output = Sparsely Vegetated or Water.
Source_Used_Citation_Abbreviation: PVT3
Source_Used_Citation_Abbreviation: LIFEFORM
Process_Date: 09/30/2004
Source_Produced_Citation_Abbreviation: PVT4
Process_Step:
Process_Description:
Within the lifeform areas of Agriculture and Urban there were no PVT POINTS. The KNN model would still predict PVT outputs for these areas. To return these values back to Agriculture and Urban these areas were reclassified using the SILC1 and SILC3 grids. The SILC1 and SILC3 grids were merged to create SILC CT. For the areas where SILC3 overlaps SILC1 the SILC3 data was used. To combined output being SILC CT Where SILC CT = Agriculture or SILC CT = Urban, PVT5 = Agriculture or PVT5 = Urban.
Source_Used_Citation_Abbreviation: PVT4
Source_Used_Citation_Abbreviation: SILC1
Source_Used_Citation_Abbreviation: SILC3
Process_Date: 09/30/2004
Source_Produced_Citation_Abbreviation: PVT5
Source_Produced_Citation_Abbreviation: SILC CT
Process_Step:
Process_Description:
The PVT5 output was inspected for errors and reviewed by local experts. Metadata was added and was renamed for distribution.
Source_Used_Citation_Abbreviation: PVT5
Process_Date: 10/04/2004
Source_Produced_Citation_Abbreviation: PVTVMP1004
Process_Step:
Process_Description: Dataset copied.
Source_Used_Citation_Abbreviation: C:\WorkSpace\vmpfire\pvtvmp1004
Back to Top
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 4642
Column_Count: 3677
Vertical_Count: 1
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 46.000000
Standard_Parallel: 48.000000
Longitude_of_Central_Meridian: -109.500000
Latitude_of_Projection_Origin: 44.000000
False_Easting: 600000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 90.000000
Ordinate_Resolution: 90.000000
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Back to Top
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: pvtvmp1004
Attribute:
Attribute_Label: ObjectID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Value
Attribute_Definition:
ESRI default item, DO NOT CHANGE. Value assigned to each raster cell.
Attribute:
Attribute_Label: Count
Attribute_Definition:
ESRI default item, DO NOT CHANGE. Number 90m cells with that value.
Attribute:
Attribute_Label: Pvtdesc
Attribute_Definition: Potential Vegetation Type (PVT) description
Attribute:
Attribute_Label: Pvt
Attribute_Definition: Potential Vegetation Type (PVT) type alpha code.
Attribute:
Attribute_Label: Pvtcode
Attribute_Definition: Numeric Potential Vegetation Type (PVT) code
Overview_Description:
Entity_and_Attribute_Overview:
The following is a look-up table for 'PVT' type with habitat types listed.

abgr1: abigra/phymal; abigra/spibet abgr2: abigra/linbor; abigra/vacglo; abigra/xerten; abigra/vacmen abgr3: abigra/asacau; abigra/cliuni; abigra/sentri;

abla1: abilas/calcan; abilas/descae; abilas/galtri; abilas/oplhor; abilas/salix; abilas/stramp abla2: abilas/alnsin; abilas/cliuni; abilas/linbor; abilas/menfer abla3: Montana: abilas/arncor; abilas/calrub; abilas/cargey; abilas/vaccae; abilas/vacglo; abilas/vacsco; abilas/xerten; pincon/vacglo; Idaho: abilas/arncor; abilas/calrub; abilas/cargey; abilas/vaccae; abilas/vacglo; abilas/vacmem; abilas/xerten; pincon/vacglo;

abla4: Montana: abilas/luzhit; abilas/pinalb; abilas/ribmon Idaho: abilas/luzhit; abilas/menfer/luzhit; abilas/menfer/vacsco; abilas/pinalb; abilas/ribmon; abilas/vacsco; abilas/xerten/luzhit; abilas/xerten/vacsco

alpine: casmer/fesovi; dryoct; kalmic

drygrass: agrspi; agrspi/balsag; agrspi/poasan; agrspi/poasec; arilon/poasan; spocry/poasan

dryshrub: cerled; cerled/agrspi; cerled/celret; chrnau; chrnau/agrspi; junhor/andsco; purtri; purtri/agrspi; purtri/fessca; rhutri/fesida

fesida: fesida; fesida/agrspi;

fessca: fessca; fessca/fesida laly: larlya; larlya/abilas

mesicshrub: celcocc; celocc/agrspi; celocc/rhugal; celret/agrspi; celtis; phymal/acegla; phymal/amealn; phymal/osmocc; rhugla; rhugla/agrspi; symalb; symalb/agrspi; symalb/balsag; symalb/fesida; symalb/galapa; symocc pial: pinalb; pinalb/abilas picea: piceng; piceng/calcan; piceng/cliuni; piceng/corsto; piceng/equarv; piceng/galtri; piceng/linbor; piceng/phymal; piceng/senstr; piceng/smiste; piceng/vacces; pico: pincon; pincon/calrub; pincon/linbor; pincon/vaccae; pncon/vacsco; pincon/xerten pifl: pinfle; pinfle/fesida pipo: pinpon; pinpon/andx; pinpon/agrspi; pinpon/fesida; pinpon/phymal; pinpon/purtri; pinpon/sitcom; pinpon/symalb poptre: poptre; poptre/equarv; poptre/osmocc; psme1: psemen/agrspi; psemen/fesida; psemen/fessca; psme2: psemen/corsto; psemen/linbor; psemen/phymal; psemen/symalb; psemen/vaccae; psemen/vacces; psemen/vacsco; psemen/vacglo; psemen/xerten; psemen/vacmem psme3: psemen/arcuva; psemen/arncor; psemen/calrub; psemen/cargey; psemen/juncom; psemen/spibet ripdecid: popang/corsto; poptri; poptri/corsto; poptri/poapra

sage4: arttsv

thpl1: thupli/adiped; thupli/athfil; thupli/gymdry; thupli/oplhor thpl2: thupli/asacau; thupli/cliuni tshe: tsuhet; tsuhet/asacau; tsuhet/athfil; tsuhet/cliuni; tsuhet/gymdry; tsuhet/menfer tsme1: tsumer/cliuni; tsumer/stramp tsme2: Montana: tsumer/luzhit; tsumer/menfer; tsumer/xerten Idaho: tsumer/menfer; tsumer/xerten

tsme3: Idaho only: tsumer/luzhit; tsumer/menfer/luzhit; tsumer/xerten/luzhit; tsumer/xerten/vacsco agriculture: was manually classified from SILC

sparseveg: was manually classified from R1-VMP lifeform

urban: was manually classified from SILC

water: was manually classified from R1_VMP lifeform

Entity_and_Attribute_Detail_Citation:
Grouping of habitat types into Potential Vegetation Type (PVT) types completed by Jeff Jones, Northern Region, National Fire Plan Cohesive Strategy Team. Habitat types from 3 sources: Cooper, Stephen V., Kenneth E. Neiman, and David W. Rev. 1991. Forest habitat types of northern Idaho: a second approximation. General Technical Report INT-236. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. 143p. Pfister, Robert D., Bernard L. Kovalchik, Stephen F. Arno, and Richard C. Presby. 1977. Forest habitat types of Montana. USDA Forest Service General Technical Report INT-34. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. 174p. Mueggler, Walter F. and William L. Stewart. 1980. Grassland and shrubland habitat types of western Montana. USDA Forest Service General Technical Report INT-66. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station. 154p.
Back to Top
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Northern Region
Contact_Person: Jeff Jones
Contact_Position: Ecologist
Contact_Address:
Address_Type: mailing and physical address
Address: 1935 3rd Ave East
City: Kalispell
State_or_Province: MT
Postal_Code: 59901
Country: US
Contact_Voice_Telephone: (406) 758-5341
Contact_Facsimile_Telephone: (406) 758-5363
Contact_Electronic_Mail_Address: jjones@fs.fed.us
Hours_of_Service: Monday-Friday 9-4 Mountain Time
Resource_Description: Downloadable Data
Distribution_Liability:
The Forest Service uses the most current and complete data available. GIS data and product accuracy may vary. They may be: developed from sources of differing accuracy, accurate only at certain scales, based on modeling or interpretation, incomplete while being created or revised, etc. Using GIS products for purposes other than those for which they were created, may yield inaccurate or misleading results. The Forest Service reserves the right to correct, update, modify, or replace, GIS products without notification.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 9.114
Technical_Prerequisites:
Use of this product requires the use of ArcGRID or ArcMap Spatial Analyst
Back to Top
Metadata_Reference_Information:
Metadata_Date: 20041207
Metadata_Review_Date: 20041021
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Sharie McKibben
Contact_Organization: USDA Forest Service Northern Region
Contact_Position: GIS Specialist
Contact_Address:
Address_Type: mailing and physical address
Address: 1935 3rd Ave East
City: Kalispell
State_or_Province: MT
Postal_Code: 59901
Contact_Voice_Telephone: (406) 758-6488
Contact_Facsimile_Telephone: (406) 758-5363
Contact_Electronic_Mail_Address: swmckibben@fs.fed.us
Hours_of_Service: Monday through Friday 8-4 Mountain Time
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Back to Top
Generated by mp version 2.7.33 on Mon Dec 13 15:19:38 2004