Public and private forest ownership in the conterminous United States: distribution of six ownership types - geospatial dataset

Metadata:
Identification_Information:
Citation:
Citation_Information:
Originator: Hewes, Jaketon H.
Originator: Butler, Brett J.
Originator: Liknes, Greg C.
Originator: Nelson, Mark D.
Originator: Snyder, Stephanie A.
Publication_Date: 2014
Title:
Public and private forest ownership in the conterminous United States: distribution of six ownership types - geospatial dataset
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2014-0002
Description:
Abstract:
This data publication contains raster data depicting the spatial distribution of forest ownership types in the conterminous United States circa 2009. The data are a modeled representation of forest land by ownership type, and include three types of public ownership: federal, state, and local, as well as three types of private: family (includes individuals and families), corporate, and other private (includes conservation and natural resource organizations, unincorporated partnerships and associations, and Native American tribal lands).
Purpose:
The data are designed for strategic analyses at a national or regional scale which require spatially explicit information regarding the extent, distribution, and prevalence of the ownership types represented. The data are not recommended for tactical analyses on a sub-regional scale, or for informing local management decisions. Furthermore, map accuracies vary considerably and thus the utility of these data can vary geographically under different ownership patterns.
Supplemental_Information:
A corresponding Research Map (RMAP) has been produced to cartographically portray this dataset (Hewes et al. 2014).

An associated data publication (Nelson et al. 2010) also protrays ownership types of the conterminous United States, but it primarily depicts National Forest and other public on the public side, and percent in corporate ownership on the private side. This new data publication depicts public (federal, state, and local) and private (family, corporate, and other private) ownership types.

Original metadata date was 06/11/2014. Minor updates to one of the references that has now been published was done on 09/05/2014. Additional minor metadata updates completed on 12/14/2016 and 02/06/2017.

On 07/23/2020 a newer version of these data became available (Sass et al. 2020).
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2003
Ending_Date: 2009
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Irregular
Spatial_Domain:
Description_of_Geographic_Extent:
conterminous United States
Bounding_Coordinates:
West_Bounding_Coordinate: -124.732770
East_Bounding_Coordinate: -66.969271
North_Bounding_Coordinate: 49.371730
South_Bounding_Coordinate: 25.130501
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: forest ownership
Theme_Keyword: forest land
Theme_Keyword: non-forest
Theme_Keyword: owner types
Theme_Keyword: public
Theme_Keyword: private
Theme_Keyword: corporate
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Inventory, Monitoring, & Analysis
Theme_Keyword: Resource inventory
Theme_Keyword: Environment and People
Theme_Keyword: Impact of people on environment
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: boundaries
Theme_Keyword: environment
Theme_Keyword: planningCadastre
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: United States of America
Place_Keyword: lower 48
Place_Keyword: contiguous
Place_Keyword: conterminous
Place_Keyword: CONUS
Access_Constraints: None
Use_Constraints:
Appropriate use includes coarse-scale assessment of forest ownership patterns.

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data product:

Hewes, Jaketon H.; Butler, Brett J.; Liknes, Greg C.; Nelson, Mark D.; Snyder, Stephanie M. 2014. Public and private forest ownership in the conterminous United States: distribution of six ownership types - geospatial dataset. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2014-0002
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jake Hewes
Contact_Organization: Family Forest Research Center
Contact_Position: Research Coordinator
Contact_Address:
Address_Type: mailing and physical
Address: 160 Holdsworth Way
City: Amherst
State_or_Province: MA
Postal_Code: 01003
Country: USA
Contact_Voice_Telephone: 413-545-3966
Contact_Electronic_Mail_Address: jhewes@eco.umass.edu
Contact Instructions: Prefer email contact
Data_Set_Credit:
Funding for this project provided by USDA Forest Service, Northern Research Station (NRS), Forest Inventory & Analysis as well as USDA Forest Service, State and Private Forestry Cooperative Forestry.
Native_Data_Set_Environment:
Microsoft Windows 7 Version 6.1 2009 Service Pack 1; ESRI ArcMap 10.0 Service Pack 5
Cross_Reference:
Citation_Information:
Originator: Sass, Emma M.
Originator: Butler, Brett J.
Originator: Markowski-Lindsay, Marla A.
Publication_Date: 2020
Title:
Forest ownership in the conterminous United States circa 2017: distribution of eight ownership types - geospatial dataset
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2020-0044
Cross_Reference:
Citation_Information:
Originator: Hewes, Jaketon H.
Originator: Butler, Brett J.
Originator: Liknes, Greg C.
Originator: Nelson, Mark D.
Originator: Snyder, Stephanie A.
Publication_Date: 2014
Title:
Map of distribution of six forest ownership types in the conterminous United States
Geospatial_Data_Presentation_Form: map
Series_Information:
Series_Name: Research Map
Issue_Identification: NRS-6
Publication_Information:
Publication_Place: Newtown Square, PA
Publisher: U.S. Department of Agriculture, Forest Service, Northern Research Station
Other_Citation_Details:
[Scale 1: 10,000,000, 1: 34,000,000.]
Online_Linkage: https://doi.org/10.2737/NRS-RMAP-6
Cross_Reference:
Citation_Information:
Originator: Nelson, Mark D.
Originator: Liknes, Greg C.
Originator: Butler, Brett J.
Publication_Date: 2010
Title:
Forest ownership in the conterminous United States: ForestOwn_v1 geospatial dataset
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Newtown Square, PA
Publisher: USDA Forest Service, Northern Research Station
Online_Linkage: https://doi.org/10.2737/RDS-2010-0002
Cross_Reference:
Citation_Information:
Originator: Hewes, Jaketon H.
Originator: Butler, Brett J.
Originator: Liknes, Greg C.
Publication_Date: 2017
Title:
Forest ownership in the conterminous United States circa 2014: distribution of seven ownership types - geospatial dataset
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2017-0007
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Two methods were utilized to assess the accuracy of the ownership type map. Point validation was conducted for a subset of ownership points withheld prior to the creation of ownership polygons. Twenty percent of ownership points were held back from each of the 48 states and across all six ownership types. These points were then overlaid with the mapped product and a determination was made whether the points fell within an area predicted to have the same ownership type. Area estimates were also compared for each ownership type by county between mapped product and estimates of USDA Forest Service Forest Inventory and Analysis (FIA) summary data for the 44 states where recent FIA data was available. Insufficient FIA plot sample sizes for Nevada, New Mexico, Texas, and Wyoming precluded development of reliable area estimates and therefore were omitted from the area comparisons.

Map accuracies varied considerably, with highs of 94 and 86% overall accuracy for federal and state ownership classes, respectively, and lows of 36 and 38% for local public and other private ownership classes, respectively. Thus, utility of these data vary geographically under different ownership patterns. See assessment results below for more information.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Federal Ownership Point Accuracy
Attribute_Accuracy_Explanation:
The percentage of validation points that were accurately predicted as belonging in federal ownership was 94% (3,732 of 3,958 points).
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: State Ownership Point Accuracy
Attribute_Accuracy_Explanation:
The percentage of validation points that were accurately predicted as belonging in state ownership was 86% (1,149 of 1,335 points).
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Local Ownership Point Accuracy
Attribute_Accuracy_Explanation:
The percentage of validation points that were accurately predicted as belonging in local ownership was 36% (142 of 397 points).
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Family Ownership Point Accuracy
Attribute_Accuracy_Explanation:
The percentage of validation points that were accurately predicted as belonging in family ownership was 75% (5,583 of 7,489 points).
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Corporate Ownership Point Accuracy
Attribute_Accuracy_Explanation:
The percentage of validation points that were accurately predicted as belonging in corporate ownership was 47% (1,335 of 2,813 points).
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Other Private Ownership Point Accuracy
Attribute_Accuracy_Explanation:
The percentage of validation points that were accurately predicted as belonging in other private ownership was 38% (279 of 727 points).
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Overall Ownership Point Accuracy
Attribute_Accuracy_Explanation:
The overall percentage of validation points that were accurately predicted as belonging in the appropriate ownership category was 73% (12,220 of 16,719 points).
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Public Ownership Point Accuracy
Attribute_Accuracy_Explanation:
The percentage of validation points that were accurately predicted as belonging in public ownership was 91% (5,176 of 5,690 points).
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Private Ownership Point Accuracy
Attribute_Accuracy_Explanation:
The percentage of validation points that were accurately predicted as belonging in private ownership was 93% (10,222 of 11,029 points).
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: General
Attribute_Accuracy_Explanation:
Points were assigned the ownership value of the polygon in which they fell.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Total Forest Area Estimates
Attribute_Accuracy_Explanation:
Area Estimates:
A map-based estimate of forest area resulted in 689.8 million acres across all 48 CONUS states. For the 44 CONUS states for which recent FIA data are available, forest land area encompasses a total 578.6 million acres (+ or - 3.3 million acres) based on FIA data. The corresponding map-based estimate of total forest land area was 580.6 million acres within these 44 CONUS states, which falls within the 95% confidence interval surrounding the FIA-based estimate. Map-based estimates of statewide forest land area fell with 95% confidence intervals surrounding FIA-based estimates for all but four states (Virginia [VA], Arizona [AZ], Michigan [MI], and Ohio [OH]). Map-based estimates exceed FIA-based estimates for VA, AZ, and MI, but FIA-based estimate exceeds map-based estimate for OH, indicating there is not a consistent overestimation or underestimation.

Furthermore, if estimates of uncertainty had been available for the map based estimates, then the statistical comparison likely would have shown no difference for any state. However, it was necessary to use a more conservative test of comparing the actual map-based estimate to the confidence interval surrounding the FIA-based estimate, rather than the more standard approach that would incorporate the uncertainty associated with each estimate.

Root Mean Square Deviation (reported here as percentage of the map-based estimate, but hereafter referred to simply as RMSD):
State and county area-weighted RMSDs of 0.85 and 5.38 percent were observed for state and county estimation units, respectively, when comparing FIA- to map-based estimates of total forest land area across 44 CONUS states. RMSD results for each of six forest ownership classes ranged from 1.2 (federal) to 3.87 (family) percent for per-state estimates, and from 3.63 (local) to 14.26 (family) percent for per-county estimates. For all ownership classes, per-county estimates had larger RMSD values than for per-state estimates than for states, due to considerably smaller sample sizes in counties.

Again, the four states excluded from the area estimate analyses were Nevada, New Mexico, Texas, and Wyoming, due to insufficient FIA data from which to generate reliable area estimates.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: Forest Area Estimates by Owner Type
Attribute_Accuracy_Explanation:
The following illustrates differences in area estimates for each of the six ownership types between map-predicted values and FIA estimates within the 44 states with adequate FIA sample sizes. Also included in parenthesis below is the width of the 95% confidence interval surrounding the FIA-based estimate.

FEDERALLY-OWNED FORESTLAND
Map Acres - 157,614,565
FIA Acres - 157,771,422 (95% C.I.: 1,543,433)

STATE-OWNED FORESTLAND
Map Acres - 45,432,061
FIA Acres - 40,890,049 (95% C.I.: 875,227)

LOCALLY-OWNED FORESTLAND
Map Acres - 9,796,076
FIA Acres - 12,609,830 (95% C.I.: 470,484)

FAMILY-OWNED FORESTLAND
Map Acres - 245,111,728
FIA Acres - 238,074,745 (95% C.I.: 2,232,001)

CORPORATE-OWNED FORESTLAND
Map Acres - 100,987,026
FIA Acres - 106,670,329 (95% C.I.: 1,507,821)

OTHER-PRIVATE OWNED FORESTLAND
Map Acres - 21,701,441
FIA Acres - 22,589,437 (95% C.I.: 691,939)
Logical_Consistency_Report:
see Attribute Accuracy
Completeness_Report:
For_Own_Typ is complete for the conterminous United States.

PAD-US 2.0 (CBI Edition) data were compiled with the best (most complete, recent) datasets available for each state in the United States. Therefore, completeness may vary. Refer to the metadata for the state of interest for further information about completeness.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Several raster datasets were used in the development of these data, along with FIA field plot data. Uncertainty in the geographic registration in each of these data sources will contribute to the positional accuracy of the final product. Overall horizontal positional accuracy is expected to be within 1 pixel in either dimension (i.e. 250 meters).
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Conservation Biology Institute
Publication_Date: 20121031
Title:
PAD-US (CBI Edition)
Edition: Version 2
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: Protected Areas Database
Publication_Information:
Publication_Place: Corvallis, Oregon
Publisher: Conservation Biology Institute
Other_Citation_Details:
Only polygons where own_type was equal to 'Federal Land' or 'State Land' were utilized.
Online_Linkage: https://consbio.org/products/projects/pad-us-cbi-edition
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: Unknown
Ending_Date: Unknown
Source_Currentness_Reference:
publication date
Source_Citation_Abbreviation:
PAD-US 2.0 (CBI Edition)
Source_Contribution:
PAD-US (CBI Edition) was used to supplement modeled public ownership.

Source data were produced at various map scales, usually at 1:100,000 or finer
Source_Information:
Source_Citation:
Citation_Information:
Originator: Wilson, B. Tyler
Originator: Lister, Andrew J.
Originator: Riemannn, Rachel I.
Publication_Date: 2012
Title:
A nearest-neighbor imputation approach to mapping tree species over large areas using forest inventory plots and moderate resolution raster data
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Forest Ecology and Management
Issue_Identification: 271:182-198
Online_Linkage: https://doi.org/10.1016/j.foreco.2012.02.002
Online_Linkage: https://www.fs.usda.gov/treesearch/pubs/40312
Type_of_Source_Media: digital file
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2000
Ending_Date: 2009
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
Proportion Forest Layer
Source_Contribution:
The Proportion Forest Layer was used in conjunction with the Ecoregion Layer to produce a forest/non-forest mask.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service
Publication_Date: Unknown
Title:
Forest Inventory and Analysis Forest Ownership Data
Series_Information:
Series_Name: FIA Plots
Type_of_Source_Media: digital file
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2003
Ending_Date: 2007
Source_Citation_Abbreviation:
FIA Ownership Data
Source_Contribution:
FIA forested plots were used to produce the Thiessen Polygon ownership layer. Twenty percent of the base plots (83,136) were withheld from the modeling dataset and used as indicators of model output point accuracy.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Cleland, D.T.
Originator: Freeouf, J.A.
Originator: Keys, J.E., Jr.
Originator: Nowacki, G.J.
Originator: Carpenter, C.
Originator: McNab, W.H.
Publication_Date: 2007
Title:
Ecological subregions sections and subsections of the conterminous United States
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: U.S. Department of Agriculture Forest Service
Other_Citation_Details:
General Technical Report WO-76, scale 1:3,500,000
Type_of_Source_Media: digital file
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2007
Source_Currentness_Reference:
publication date
Source_Citation_Abbreviation:
Ecoregion Layer
Source_Contribution:
The Ecoregion Layer was used to create the forest/non-forest mask from Wilson et al.'s (2012) Proportion Forest Layer.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Butler, Brett J.
Originator: Hewes, Jaketon H.
Originator: Liknes, Greg C.
Originator: Nelson, Mark D.
Originator: Snyder, Stephanie A.
Publication_Date: 2014
Title:
A comparison of techniques for generating forest ownership spatial products
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Applied Geography
Issue_Identification: 46: 21-34
Online_Linkage: https://doi.org/10.1016/j.apgeog.2013.09.020
Online_Linkage: https://www.fs.usda.gov/treesearch/pubs/45192
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: Unknown
Ending_Date: Unknown
Source_Currentness_Reference:
publication date
Source_Contribution:
Thiessen polygon, multinomial logit, and classification tree methods were tested for producing a forest ownership spatial dataset across four states with divergent ownership patterns. Over 17,000 sample points with classified forest ownership, collected as part of the USDA Forest Service, Forest Inventory and Analysis (FIA) program, were divided into two datasets, one used as the dependent variable across all of the models and 10 percent of the points were retained for validation across the models. The percentage of validation points across the four states correctly predicted ranged from 76.3 to 78.9 among the methods with corresponding weighted kappa values ranging from 0.73 to 0.76. Different methods performed slightly, but statistically significantly, better in different states. Overall, the Thiessen polygon method was deemed preferable because: it had a lower bias towards dominant ownership categories; required fewer inputs; and was simpler to implement.
Process_Step:
Process_Description:
From the original dataset of 83,136 FIA points 20% were randomly selected from each ownership type to be used for validation.
Source_Used_Citation_Abbreviation:
FIA Ownership Data
Process_Date: 2013
Process_Step:
Process_Description:
Using ArcToolbox\Analysis\Proximity\Create Thiessen Polygons tool was utilized to generate ownership polygons from 45,832* points at which ownership type is known.

688 Federal-owned Points
671 State-owned Points
1,407 Locally-owned Points
29,499 Family-owned Points
10,870 Corporate-owned Points
2,697 Other Private-owned Points

Polygons were assigned the ownership type of the parent FIA point from which they were derived.

*Original dataset of FIA points with which to model ownership consisted of 66,417 points. 20,585 of these original points were held back from Thiessen Polygon creation as they intersected PAD federal or state ownership.
Source_Used_Citation_Abbreviation:
FIA Ownership Data
Source_Used_Citation_Abbreviation:
PAD-US 2.0 (CBI Edition)
Process_Date: 2013
Process_Step:
Process_Description:
Using ArcToolbox\Analysis\Overlay Union tool, Thiessen Polygon layer was combined with PAD-US (CBI) Version 2.0 where PAD "Category" = Fee and Owner Type = Federal Land or State Land
Source_Used_Citation_Abbreviation:
FIA Ownership Data
Source_Used_Citation_Abbreviation:
PAD-US 2.0 (CBI Edition)
Process_Date: 2013
Process_Step:
Process_Description:
Within the ownership polygon attribute table, using the "Field Calculator" ownership type (OWN_CAT) of unioned layers was set equal to ownership type of Thiessen Polygon layer, except where PAD was equal to federal or state. In those instances set ownership type equal to PAD.
Source_Used_Citation_Abbreviation:
FIA Ownership Data
Source_Used_Citation_Abbreviation:
PAD-US 2.0 (CBI Edition)
Process_Date: 2013
Process_Step:
Process_Description:
Using ArcToolbox\Conversion\To Raster Polygon to Raster tool, ownership polygons were converted to raster format, with the extent and cell size equal to that in the Forest Layer.
Source_Used_Citation_Abbreviation:
Proportion Forest Layer
Process_Date: 2013
Process_Step:
Process_Description:
Using ArcToolbox\Spatial Analyst Tools\Local Combine tool, Ecoregion and Proportion Forest layers were combined to produce one raster dataset with integrated data.

Forest/Non-forest mask was derived by applying a threshold value to the Proportion Forest layer for each ecoregion such that total forest area in each ecoregion closely matched FIA statistics.

Pixels for each ecoregion that exceeded the threshold were designated as "forest" using the Field Calculater within the attribute table.
Source_Used_Citation_Abbreviation:
Ecoregion layer
Source_Used_Citation_Abbreviation:
Proportion Forest Layer
Process_Date: 2013
Process_Step:
Process_Description:
Using ArcToolbox\Spatial Analyst Tools\Extraction Extract by Mask tool modeled ownership pixels from raster were identified and retained where spatially coincident with forest.
Source_Used_Citation_Abbreviation:
Proportion Forest Layer
Process_Date: 2013
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Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 11917
Column_Count: 18744
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Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 29.5
Standard_Parallel: 45.5
Longitude_of_Central_Meridian: -96
Latitude_of_Projection_Origin: 23
False_Easting: 0
False_Northing: 0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 250
Ordinate_Resolution: 250
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: World Geodetic System of 1984
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.25722210088
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Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
This dataset contains a spatial prediction of forest ownership by category for the conterminous United States. The model used was an interpolation of owner type from values at known points (Thiessen Polygons).

Two types of ownership: Public or Private

Six values of ownership:
1= Federal (Public): Owned by the federal government. FIA Codes 11-13, 21-25.
2 = State (Public): Owned by a state government. FIA Code 31.
3 = Local (Public): Owned by a local government. FIA Code 32.
4 = Family (Private): Owned by families, individuals, trusts, estates, family partnerships, and other unincorporated groups of individuals that own forest land. FIA Code 45.
5 = Corporate (Private): Owned by corporations. FIA Code 41.
6 = Other Private (Private): Owned by conservation and natural resource organizations, unincorporated partnerships and associations, and Native American tribes. FIA Codes 42-44.
Entity_and_Attribute_Detail_Citation:
Woudenberg, Sharon W.; Conkling, Barbara L.; O'Connell, Barbara M.; LaPoint, Elizabeth B.; Turner, Jeffery A.; Waddell, Karen L. 2010. The Forest Inventory and Analysis database: database description and users manual version 4.0 for Phase 2. Gen. Tech. Rep. RMRS-GTR-245. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 336 p. https://doi.org/10.2737/RMRS-GTR-245
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Research and Development
Contact_Position: Research Data Archivist
Contact_Address:
Address_Type: mailing and physical
Address: 240 West Prospect Road
City: Fort Collins
State_or_Province: CO
Postal_Code: 80526
Country: USA
Contact_Voice_Telephone: see Contact Instructions
Contact Instructions: This contact information was current as of July 2020. For current information see Contact Us page on: https://doi.org/10.2737/RDS
Resource_Description: RDS-2014-0002
Distribution_Liability:
Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Raster
Format_Version_Number: see Format Specification
Format_Specification:
ArcGIS raster
File_Decompression_Technique: Files zipped with 7-Zip 19.0
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2014-0002
Fees: None
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Metadata_Reference_Information:
Metadata_Date: 20200723
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jake Hewes
Contact_Organization: Family Forest Research Center - UMass Amherst
Contact_Position: Research Coordinator
Contact_Address:
Address_Type: mailing and physical
Address: 160 Holdsworth Way
City: Amherst
State_or_Province: MA
Postal_Code: 01003
Country: USA
Contact_Voice_Telephone: 413-545-3966
Contact_Electronic_Mail_Address: jhewes@eco.umass.edu
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
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