Annual visitation and economic benefits of recreation from 2017-2022 estimated for Forest Service lands within ten initial investment landscapes of the Wildfire Crisis Strategy

Metadata:
Identification_Information:
Citation:
Citation_Information:
Originator: Lehr, Jacob B.
Originator: White, Eric M.
Originator: Winder, Samantha G.
Originator: Shashidhar, Mithali
Originator: Wood, Spencer A.
Publication_Date: 2024
Title:
Annual visitation and economic benefits of recreation from 2017-2022 estimated for Forest Service lands within ten initial investment landscapes of the Wildfire Crisis Strategy
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2024-0080
Description:
Abstract:
This data publication contains vector data (shapefile and geopackage) representing visitation and economic benefits estimated at the fireshed level within the ten initial investment landscapes of the USDA Forest Service Wildfire Crisis Strategy, which are within Arizona, California, Colorado, Idaho, Montana, New Mexico, Oregon, and Washington. Visitation was estimated using digital mobility data (geolocated social media posts) and established methods for calculating the economic benefit of recreation to forest sites. Data include estimates of annual visitation and economic benefits between 2017 and 2022 for 163 fireshed polygons.
Purpose:
Tools and initiatives to prioritize landscapes for restoration and fuels reduction, such as the Wildfire Crisis Strategy, should incorporate human values, including recreation values. Adequately incorporating recreation values into landscape prioritization requires consistent, fine-grain spatial data on recreation uses and values, yet recreation data are typically unavailable at that resolution. These data provide estimates of recreational use and the associated economic benefits of existing recreation by fireshed, which is the spatial resolution that is commonly used in landscape prioritization.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2017
Ending_Date: 2022
Currentness_Reference:
Publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Description_of_Geographic_Extent:
Lands managed by the USDA Forest Service located within firesheds in the 10 initial investment landscapes of the Wildfire Crisis Strategy (USDA Forest Service 2022). Landscapes are within the following states: Arizona, California, Colorado, Idaho, Montana, New Mexico, Oregon, and Washington.


USDA Forest Service. 2022. Confronting the wildfire crisis: initial landscape investments to protect communities and improve resilience in America’s forests. FS-1187d. U.S. Department of Agriculture, Forest Service. 17 p. https://www.fs.usda.gov/sites/default/files/WCS-Initial-Landscape-Investments.pdf
Bounding_Coordinates:
West_Bounding_Coordinate: -122.23980
East_Bounding_Coordinate: -104.86742
North_Bounding_Coordinate: 49.00044
South_Bounding_Coordinate: 32.97652
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: economy
Theme_Keyword: environment
Theme_Keyword: society
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Environment and People
Theme_Keyword: Recreation
Theme_Keyword: Inventory, Monitoring, & Analysis
Theme_Keyword: Assessments
Theme_Keyword: Natural Resource Management & Use
Theme_Keyword: Economics
Theme_Keyword: Ecosystem services
Theme_Keyword: Landscape management
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: digital mobility data
Theme_Keyword: firesheds
Theme_Keyword: economic benefits
Theme_Keyword: Wildfire Crisis Strategy
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Arizona
Place_Keyword: California
Place_Keyword: Colorado
Place_Keyword: Idaho
Place_Keyword: Montana
Place_Keyword: New Mexico
Place_Keyword: Oregon
Place_Keyword: Washington
Access_Constraints: None
Use_Constraints:
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 following citation:

Lehr, Jacob B.; White, Eric M.; Winder, Samantha G.; Shashidhar, Mithali; Wood, Spencer A. 2024. Annual visitation and economic benefits of recreation from 2017-2022 estimated for Forest Service lands within ten initial investment landscapes of the Wildfire Crisis Strategy. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2024-0080
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Pacific Northwest Research Station
Contact_Person: Eric M. White
Contact_Position: Research Social Scientist
Contact_Address:
Address_Type: mailing and physical
Address: 1220 SW 3rd Ave.
Address: Suite 1400
City: Portland
State_or_Province: OR
Postal_Code: 97217
Country: USA
Contact_Voice_Telephone: 360-999-0580
Contact_Electronic_Mail_Address: eric.m.white@usda.gov
Contact Instructions: This contact information was current as of original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Data_Set_Credit:
This project was funded by the USDA Forest Service, Pacific Northwest Research Station.


Author Information:

Jacob B. Lehr
University of Washington

Eric M. White
USDA Forest Service, Pacific Northwest Research Station
https://orcid.org/0000-0002-3723-9694

Samantha G. Winder
University of Washington
https://orcid.org/0000-0002-7620-6916

Mithali Shashidhar
University of Washington
https://orcid.org/0009-0006-7660-1496

Spencer A. Wood
University of Washington
Cross_Reference:
Citation_Information:
Originator: Rosenberger, Randall S.
Originator: White, Eric M.
Originator: Kline, Jeffrey D.
Originator: Cvitanovich, Claire
Publication_Date: 2017
Title:
Recreation economic values for estimating outdoor recreation economic benefits from the National Forest System
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: General Technical Report
Issue_Identification: PNW-GTR-957
Publication_Information:
Publication_Place: Portland, OR
Publisher: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station
Other_Citation_Details:
33 p.
Online_Linkage: https://doi.org/10.2737/PNW-GTR-957
Cross_Reference:
Citation_Information:
Originator: Wood, Spencer A.
Originator: Winder, Samantha G.
Originator: Lia, Emilia H.
Originator: White, Eric M.
Originator: Crowley, Christian S.L.
Originator: Milnor, Adam A.
Publication_Date: 2020
Title:
Next-generation visitation models using social media to estimate recreation on public lands
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Scientific Reports
Issue_Identification: 10: 15419
Online_Linkage: https://doi.org/10.1038/s41598-020-70829-x
Online_Linkage: https://research.fs.usda.gov/treesearch/62631
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
To assess the accuracy of the visitation estimates at the fireshed level, we compared our modeled visitation estimates to visitation estimates from the USDA Forest Service National Visitor Use Monitoring Program (NVUM, https://www.fs.usda.gov/about-agency/nvum). We used the “all forest information approach” detailed in White et al. (2007) to construct estimates of visits to the fireshed areas of national forests with lands in the initial investment landscapes. We used NVUM sample data and NVUM inventory data from “Round 4” of that program which covers the federal fiscal years 2016 through 2019. Each national forest has one visit estimate for one year during that period. We compared NVUM Round 4 visitation estimates for each fireshed (as determined from the White et al. 2007 approach and combining the NVUM sample data and NVUM inventory data) to the annual average of our modeled visitation estimates for the period 2017-2022. The resulting Pearson correlation was 0.71 and the Spearman correlation was 0.79. The relationship between modeled visitation and NVUM estimates of visitation was stronger at higher levels of visitation. Although the date ranges of our modeled estimates do not line up exactly with the Round 4 sampling period, we chose to use Round 4 because it was the most recent, complete NVUM sampling dataset.


White, Eric M.; Zarnoch, Stanley J.; English, Donald B. K. 2007. Area-specific recreation use estimation using the national visitor use monitoring program data. Research Note. PNW-RN-557. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 26 p. https://doi.org/10.2737/PNW-RN-557
Logical_Consistency_Report:
The data are logically consistent. The consistency was verified as part of the quality assurance that occurred during data analysis.
Completeness_Report:
The fireshed polygons in this data publication represent the portion of the fireshed that is within the surface ownership of the USDA Forest Service and located within one of the ten initial investment landscapes. For most fireshed polygons, only a portion of the fireshed was located on USDA Forest Service surface ownership. Any fireshed polygons that were smaller than 2 square kilometers after clipping were removed from the data.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Evers, Cody R.
Originator: Ringo, Chris D.
Originator: Ager, Alan A.
Originator: Day, Michelle A.
Originator: Alcasena Urdíroz, Fermin J.
Originator: Bunzel, Ken
Publication_Date: 2020
Title:
The Fireshed Registry: Fireshed and project area boundaries for the continental United States
Edition: 1st edition
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Other_Citation_Details:
Accessed [May 2023] from the FSGeodata Clearninghouse
Online_Linkage: https://doi.org/10.2737/RDS-2020-0054
Online_Linkage: https://data.fs.usda.gov/geodata/edw/datasets.php
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2023
Source_Currentness_Reference:
Publication Date
Source_Citation_Abbreviation:
Evers et al. (2020)
Source_Contribution:
Fireshed spatial boundaries were obtained from this source.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service
Publication_Date: 2024
Title:
USDA Forest Service National Visitor Use Monitoring inventory design data
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publisher: USDA Forest Service, Natural Resource Manager
Other_Citation_Details:
Accessed [May 2023] (original URL: http://fsweb.nrm.fs.fed.us/support/docs.php?appname=nvum)
Online_Linkage: https://apps.fs.usda.gov/nfs/nrm/nvum/design/
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2016
Ending_Date: 2019
Source_Currentness_Reference:
Ground Condition
Source_Citation_Abbreviation:
NVUM inventory data
Source_Contribution:
This source provided the geographic coordinates of the NVUM interview points sample points and the number of days each site was open, within national forest and within NVUM strata the “all-forest information approach.” As described in White et al. (2007), these data were used to assess our attribute accuracy.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service
Publication_Date: 2024
Title:
USDA Forest Service National Visitor Use Monitoring sampling data
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publisher: USDA Forest Service, Natural Resource Manager
Other_Citation_Details:
Accessed [May 2023]
Online_Linkage: https://apps.fs.usda.gov/nvum/results
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2016
Ending_Date: 2019
Source_Currentness_Reference:
Ground Condition
Source_Citation_Abbreviation:
NVUM sample data
Source_Contribution:
This source provided the share of visits to each national forest associated with the activities used in Rosenberger et al. (2017) for use in estimating the economic benefits of recreation on that national forest. The average number of site visits per day for each sampling strata on each national forest for use in the “all-forest information approach” is described in White et al. (2007).


English, Donald B.K.; White, Eric M.; Bowker, J.M.; Winter, Susan A. 2020. A review of the Forest Service's National Visitor Use Monitoring (NVUM) Program. Agricultural and Resource Economics Review. 49(1): 64-90. https://doi.org/10.1017/age.2019.27 and https://research.fs.usda.gov/treesearch/61566

Rosenberger, Randall S.; White, Eric M.; Kline, Jeffrey D.; Cvitanovich, Claire. 2017. Recreation economic values for estimating outdoor recreation economic benefits from the National Forest System. Gen. Tech. Rep. PNW-GTR-957. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 33 p. https://doi.org/10.2737/PNW-GTR-957
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Wildfire Risk Reduction Infrastructure Team
Publication_Date: 2024
Title:
U.S. Forest Service Wildfire Crisis Strategy Landscapes
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Washington D.C.
Publisher: USDA Forest Service, Enterprise Data Warehouse
Other_Citation_Details:
Accessed [May 2023]
Online_Linkage: https://data.fs.usda.gov/geodata/edw/datasets.php
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2023
Source_Currentness_Reference:
Publication Date
Source_Citation_Abbreviation:
Landscape Investments
Source_Contribution:
This source provided the ten initial investment landscape boundaries detailed in USDA Forest Service (2022).


USDA Forest Service. 2022. Confronting the wildfire crisis: initial landscape investments to protect communities and improve resilience in America’s forests. FS-1187d. U.S. Department of Agriculture, Forest Service. 17 p. https://www.fs.usda.gov/sites/default/files/WCS-Initial-Landscape-Investments.pdf
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA Forest Service, Automated Lands Program (ALP)
Publication_Date: 2024
Title:
Surface Ownership Parcels
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Washington D.C.
Publisher: USDA Forest Service, Enterprise Data Warehouse
Other_Citation_Details:
Accessed [May 2023]
Online_Linkage: http://data.fs.usda.gov/geodata/edw/datasets.php
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2023
Source_Currentness_Reference:
Ground Condition
Source_Citation_Abbreviation:
Surface Ownership Parcels
Source_Contribution:
Lands owned by the USDA Forest Service.
Process_Step:
Process_Description:
First, geospatial data were collected and processed to create a set of polygons in the analysis.

To create the final polygons in the geospatial vector data, we performed the following steps:

1. Filter the Surface Ownership Parcels to OWNERCLASS = "USDA FOREST SERVICE."

2. Filter the Landscape Investments boundaries to only the 10 initial investment landscapes detailed in "Confronting the Wildfire Crisis" (USDA Forest Service 2022).

3. Intersect the Landscape Investment boundaries with Surface Ownership Parcels to limit landscapes to only USFS-owned lands.

4. Intersect the USFS-owned landscapes with Fireshed layer (Evers et al. 2020).

5. Remove resulting polygons that have an area smaller than 2 square kilometers.

6. Add a unique name and site ID for each resulting polygon.


USDA Forest Service. 2022. Confronting the wildfire crisis: initial landscape investments to protect communities and improve resilience in America’s forests. FS-1187d. U.S. Department of Agriculture, Forest Service. 17 p. https://www.fs.usda.gov/sites/default/files/WCS-Initial-Landscape-Investments.pdf
Source_Used_Citation_Abbreviation:
Evers et al. (2020); Landscape Investments; Surface Ownership Parcels
Process_Date: Unknown
Process_Step:
Process_Description:
After developing the polygons for analysis, we obtained geolocated social media posts from the platforms eBird, Twitter, Flickr, and AllTrails made during calendar years 2017 through 2022 that were located within the analysis polygons. We then calculated social media user-days for each platform and polygon. User-days are defined as the total number of unique users who appear in a polygon by day (Wood et al. 2013). AllTrails user-days were the number of unique users who posted trip reports that were associated with trails that began inside fireshed polygons. User-days of eBird posts were the number of unique users who uploaded a bird checklist within a fireshed polygon on a given day. For Flickr and Twitter, user-days were the number of unique users per day who shared images or other content that was created within the fireshed polygon (Fisher et al. 2018).

Next, we used a visitation model based on that described in Wood et al. (2020) to estimate visitation by fireshed. The visitation model was parameterized using counts of visits by day collected on-site at 89 trails in the Mt. Baker-Snoqualmie National Forest and the user-days of activity on the social media platforms (AllTrails, eBird, Flickr, and Twitter), as well as precipitation, holidays, and calendar year. The model estimated weekly visitation which we summed to produce estimates of total annual visitation for the years 2017 through 2022.

Finally, we developed estimates of aggregate economic benefit to recreationists by multiplying average economic benefit values by estimated visitation per fireshed. We constructed average economic benefit values for each of the national forests represented in our fireshed data using the activity-specific benefit values and associated parameters reported in Rosenberger et al. (2017) and estimates of the share of visits by primary activity for each national forest based on the Round 4 NVUM sample data. For each represented national forest we calculated an average economic benefit value per visit that reflected the activity patterns observed on that forest (in the NVUM data) and then multiplied the average economic benefit value by the number of visits for each year 2017 through 2022.


Fisher, David M.; Wood, Spencer A.; White, Eric M.; Blahna, Dale J.; Lange, Sarah; Weinberg, Alex; Tomco, Michael; Lia, Emilia H.. 2018. Recreational use in dispersed public lands measured using social media data and on-site counts. Journal of Environmental Management. 222: 465-474. https://doi.org/10.1016/j.jenvman.2018.05.045

Rosenberger, Randall S.; White, Eric M.; Kline, Jeffrey D.; Cvitanovich, Claire. 2017. Recreation economic values for estimating outdoor recreation economic benefits from the National Forest System. Gen. Tech. Rep. PNW-GTR-957. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 33 p. https://doi.org/10.2737/PNW-GTR-957

White, Eric M.; Zarnoch, Stanley J.; English, Donald B. K. 2007. Area-specific recreation use estimation using the national visitor use monitoring program data. Research Note. PNW-RN-557. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 26 p. https://doi.org/10.2737/PNW-RN-557

Wood, Spencer A.; Guerry, Anne D.; Silver, Jessica M.; Lacayo, Martin. 2013. Using social media to quantify nature-based tourism and recreation. Scientific Reports. 3: 2976. https://doi.org/10.1038/srep02976

Wood, Spencer A.; Winder, Samantha G.; Lia, Emilia H.; White, Eric M.; Crowley, Christian S. L.; Milnor, Adam A. 2020. Next-generation visitation models using social media to estimate recreation on public lands. Scientific Reports. 10: 15419. https://doi.org/10.1038/s41598-020-70829-x and https://research.fs.usda.gov/treesearch/62631
Source_Used_Citation_Abbreviation:
NVUM
Process_Date: Unknown
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Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
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Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.00000000898315284119521
Longitude_Resolution: 0.00000000898315284119521
Geographic_Coordinate_Units: Decimal Degrees
Geodetic_Model:
Horizontal_Datum_Name: World Geodetic System of 1984
Ellipsoid_Name: World Geodetic System of 1984
Semi-major_Axis: 6378137.0000
Denominator_of_Flattening_Ratio: 298.257223563
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Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
Below you will find a list and description of the files included in this data publication.


VARIABLE DESCRIPTION FILE (1)

1. \Data\_variable_descriptions.csv: Comma-separated values (CSV) file containing a list and description of variables found in all data files. (A description of these variables is also provided in the metadata below.)

Columns include:

Filename = Name of data file

Variable = Name of variable

Units = Units (if applicable)

Description = Description of variable



DATA FILES (2)

1 & 2. \Data\fireshed_visitation_benefits.shp and fireshed_visitation_benefits.gpkg: Shapefile (SHP) (and associated files) and OGC Geopackage (GPKG) containing annual visitation and economic benefits of visitation by fireshed within ten initial investment landscapes.

Attributes include:

FID = Internal feature number automatically generated by Esri.

Shape = Feature geometry automatically generated by Esri.

FIR_ID = Fireshed ID from USDA Forest Service (USFS) Fireshed Registry (Evers et al. 2020).

FIR_Name = Fireshed Name from USFS Fireshed Registry (Evers et al. 2020).

IIL_Name = Initial Investment Landscape from the Wildfire Crisis Strategy (WCS); 10 initial landscapes included (USDA Forest Service 2022).

Risk = Risk classification from USDA Forest Service (USFS) Fireshed Registry (Evers et al. 2020). Uses column “WCS_Strategy” from “Fire_FireshedReg_Fireshed_Exp” table in Fireshed Registry. Column values were converted from “USFS-Only” to “USFS high-risk”, from “All-Lands” to “All-Lands high-risk”, and from missing to “NA”. “USFS high-risk” represents firesheds that only include USFS lands and are classified as high-risk with the Wildfire Crisis Strategy (WCS). “All-Lands high-risk” represents firesheds that only include other non-USFS public lands and are classified as high-risk with the WCS. “NA” represents firesheds that are not classified as high-risk with the WCS.

Name = Unique name created as FIR_Name + IIL_Name.

siteid = Unique ID representing each polygon; polygon includes portion of each fireshed on USDA Forest Service-owned lands.

Visit_[YYYY] = Estimated visits to national forest land within the polygon in calendar year YYYY (where YYYY = 2017, 2018, 2019, 2020, 2021, 2022). A national forest visit is one person entering (and later exiting) national forest land for the purpose of recreating. One person may make multiple recreation visits in a year.

Value_[YYYY] = Total value in U.S. dollars ($) of economic benefit that accrued to those who recreated in that polygon in calendar year YYYY (where YYYY = 2017, 2018, 2019, 2020, 2021, 2022).

Visit_Avg = Estimated average number of visits to national forest land within the polygon each year between 2017 and 2022.

Value_Avg = Average value ($) of economic benefit for recreation between 2017 and 2022.
Entity_and_Attribute_Detail_Citation:
Evers, Cody R.; Ringo, Chris D.; Ager, Alan A.; Day, Michelle A.; Alcasena Urdíroz, Fermin J.; Bunzel, Ken. 2020. The Fireshed Registry: Fireshed and project area boundaries for the continental United States. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0054

USDA Forest Service. 2022. Confronting the wildfire crisis: initial landscape investments to protect communities and improve resilience in America’s forests. FS-1187d. U.S. Department of Agriculture, Forest Service. 17 p. https://www.fs.usda.gov/sites/default/files/WCS-Initial-Landscape-Investments.pdf
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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 November 2024. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2024-0080
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: SHP
Format_Version_Number: see Format Specification
Format_Specification:
Shapefile (and associated files)
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2024-0080
Digital_Form:
Digital_Transfer_Information:
Format_Name: GPKG
Format_Version_Number: see Format Specification
Format_Specification:
OGC Geopackage
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2024-0080
Fees: None
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Metadata_Reference_Information:
Metadata_Date: 20241120
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Pacific Northwest Research Station
Contact_Person: Eric M. White
Contact_Position: Research Social Scientist
Contact_Address:
Address_Type: mailing and physical
Address: 1220 SW 3rd Ave
Address: Suite 1400
City: Portland
State_or_Province: OR
Postal_Code: 97217
Country: USA
Contact_Voice_Telephone: 360-999-0580
Contact_Electronic_Mail_Address: eric.m.white@usda.gov
Contact Instructions: This contact information was current as of original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001.1-1999
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