Modeled flow metrics for stream segments in the United States under historical conditions and projected climate change scenarios

Metadata:
Identification_Information:
Citation:
Citation_Information:
Originator: Luce, Charles H.
Originator: Walker, Nathan J.
Originator: Johnson, Erik W.
Publication_Date: 2025
Title:
Modeled flow metrics for stream segments in the United States under historical conditions and projected climate change scenarios
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-2025-0018
Description:
Abstract:
These files represent modeled streamflow across the contiguous United States, for the historical period (1977–2006), and two projected future time periods, mid-century (2030–2059), and end-of-century (2070–2099), based on gridded simulations of daily total runoff. The flow regime is of fundamental importance in determining the physical and ecological characteristics of a river or stream, but actual flow measurements are only available for a small minority of stream segments, mostly on large rivers. Flows for all other streams must be extrapolated or modeled. Modeling is also necessary to estimate flow regimes under future climate conditions. These use RCP 8.5 projections of temperature and precipitation, downscaled to a 1/8 degree (approximately 12 kilometers) cell size, which are used as inputs to the Variable Infiltration Capacity (VIC) macroscale hydrologic model. For each stream segment in the National Hydrography Dataset Plus Version 2 (NHDPlusV2) in the contiguous U.S. we calculated hydrographs for the three time periods. From these we calculated summary flow metrics to describe flow regimes for each stream segment and each time period and joined these to the NHD stream segments for visualization and analysis. These results allow scientists and managers to easily compare historical and projected flow patterns, including monthly, seasonal, and annual flow, flood and drought events, and timing of peak and low flows. This data publication includes the following three geodatabases: 1) flow metrics for all time periods, NHD regions, and models, merged, projected, and cleaned, for the 5-model average results; 2) individual streamflow metric files for each time period, absolute change between them, and percent change between them, for the 5-model average results; and 3) individual streamflow metric files for each time period, absolute change between them, and percent change between them, for each of 5 climate models.
Purpose:
The purpose of this study was to model streamflow across the contiguous United States, for the historical period (1977–2006), and two projected future time periods, mid-century (2030–2059), and end-of-century (2070–2099), based on gridded simulations of daily total runoff.
Supplemental_Information:
This data publication is an update to the "Western U.S. stream flow metric dataset" (Wenger et al. 2010). In this update we expand the spatial extent of the analysis, use updated climate scenarios, and include additional climate metrics. For more methodological details, see Wenger et al. (2010).

This data publication only includes the summarized data, due to the size of the unsummarized files. Additional data, described in \Supplements\Data_available_upon_request.pdf, may be available upon request.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19771001
Ending_Date: 20990930
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As Needed
Spatial_Domain:
Description_of_Geographic_Extent:
These data span the contiguous United States.
Bounding_Coordinates:
West_Bounding_Coordinate: -127.842954
East_Bounding_Coordinate: -65.416668
North_Bounding_Coordinate: 51.518966
South_Bounding_Coordinate: 23.245031
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: environment
Theme_Keyword: inlandWaters
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Climate change
Theme_Keyword: Ecology, Ecosystems, & Environment
Theme_Keyword: Natural Resource Management & Use
Theme_Keyword: Water
Theme_Keyword: Hydrology, watersheds, sedimentation
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: hydrology
Theme_Keyword: streams
Theme_Keyword: variable infiltration capacity
Theme_Keyword: VIC
Theme_Keyword: national hydrography dataset
Theme_Keyword: NHD
Theme_Keyword: water
Theme_Keyword: streamflow
Theme_Keyword: climate change
Theme_Keyword: climate
Theme_Keyword: historical
Theme_Keyword: future
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: contiguous United States
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:

Luce, Charles H.; Walker, Nathan J.; Johnson, Erik W. 2025. Modeled flow metrics for stream segments in the United States under historical conditions and projected climate change scenarios. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2025-0018


The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.

The following acknowledgement statement should be included in the metadata for any derived data products:

We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed below) for producing and making available their model output. For CMIP, the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.

- Least warm: MRI-CGCM3 (Meteorological Research Institute)
- Hot: HadGEM2-ES (Met Office Hadley Centre / Instituto Nacional de Pesquisas Espaciais)
- Dry: IPSL-CM5A-MR (Institut Pierre-Simon Laplace)
- Wet: CNRM-CM5 (Centre National de Recherches Meteorologiques / Centre Europeen de Recherche et Formation Avancees en Calcul Scientifique)
- Middle: NorESM1-M (Norwegian Climate Centre)
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service
Contact_Person: Nathan Walker
Contact_Position: GIS Specialist
Contact_Address:
Address_Type: mailing and physical
Address: 1220 SW 3rd Ave
City: Portland
State_or_Province: OR
Postal_Code: 97204
Country: USA
Contact_Electronic_Mail_Address: nathan.walker1@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 work was supported by the USDA Forest Service, Washington Office, Office of Sustainability and Climate, Landscape Restoration & Ecosystem Services Research staff as well as the USDA Forest Service, Rocky Mountain Research Station.


Author Information:

Charles H. Luce
USDA Forest Service, Rocky Mountain Research Station
https://orcid.org/0000-0002-6938-9662

Nathan J. Walker
USDA Forest Service, Geospatial Office
https://orcid.org/0000-0002-4148-4094

Erik W. Johnson
USDA Forest Service (retired)
Cross_Reference:
Citation_Information:
Originator: Wenger, Seth J.
Originator: Luce, Charles H.
Originator: Hamlet, Alan F.
Originator: Isaak, Daniel J.
Originator: Neville, Helem M.
Publication_Date: 2010
Title:
Macroscale hydrologic modeling of ecologically relevant flow metrics
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Water Resources Research
Issue_Identification: 46(9): W09513
Online_Linkage: https://doi.org/10.1029/2009WR008839
Online_Linkage: https://research.fs.usda.gov/treesearch/36238
Cross_Reference:
Citation_Information:
Originator: USDA Forest Service
Publication_Date: 2022
Title:
Hydro flow metrics for the contiguous United States
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publisher: USDA Forest Service, Chief Information Office, Enterprise Data Warehouse (FSGeodata Clearinghouse)
Online_Linkage: https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=hydro+flow+metrics
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Inaccuracies in the data can stem from several sources: 1) Input meteorological data - We used the VIC dataset from Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections at https://gdo-dcp.ucllnl.org/downscaled_cmip_projections/dcpInterface.html#About. In previous versions of this analysis, predictions were worse for sites with strong groundwater influence, and some sites showed errors that may result from limitations in the forcing climate data. Higher resolution (1/16th degree) modeling provided small improvements over lower resolution (1/8th degree). Despite some limitations, the VIC model appears capable of representing several ecologically relevant hydrologic characteristics in streams. 2) Stream hydrography - The National Hydrography Dataset Version 2 is the highest resolution national stream hydrography layer currently available. As technology improves this component will likely become more accurate and increase our ability to represent small scale features and processes. Flow metrics were calculated for National Hydrography Dataset (NHD) version 2 stream segments that had a COMID (unique identifier) in the value-added attributes table (VAA). Since not all stream segments in the NHD flowline layer are in VAA, not all stream segments have flow metrics. Headwater catchments with no area in the NHD did not accumulate flow and therefore do not have flow metrics. Secondary divergences do not receive flow from upstream, therefore only secondary divergences with a local catchment area have flow metrics.

NOTE: We recommend that line segments with an upstream area greater than 10,000 square kilometers be removed from the data for consideration of high flow metrics, since the downstream routing was simply an accumulation function. This is reasonable for larger watersheds at time scales of months and greater, but would be inaccurate for estimating floods at daily time scales on larger watersheds. This can be done using the field ‘TotDASqKM.’ Note also that the 10+ year flood models are not appropriate for use in engineering and design applications.
Logical_Consistency_Report:
Gridded input data were visually inspected for completeness and reasonable values for the location. The data were not extensively compared against observational data.
Completeness_Report:
Data are complete as of the time of publication.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Originator: U.S. Environmental Protection Agency Office of Water
Originator: Horizon Systems Corporation
Publication_Date: 2012
Title:
National Hydrography Dataset: NHDPlus Version 2
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publisher: Horizon Systems Corporation
Online_Linkage: https://nhdplus.com/NHDPlus/index.php
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2012
Source_Currentness_Reference:
Publication Date
Source_Citation_Abbreviation:
U.S. Geological Survey (2012)
Source_Contribution:
NHD data (catchments, flowlines, flowline attributes, and basins) were downloaded from this source. For more information about these NHD data, see McKay et al. (2012):

McKay, L.; Bondelid, T.; Dewald, T.; Johnston, J.; Moore, R.; Rea, A. 2012. NHDPlus Version 2: User Guide (Data Model Version 2.1). Retrieved from https://www.caee.utexas.edu/prof/maidment/giswr2015/Docs/NHDPlusV2_User_Guide.pdf
Source_Information:
Source_Citation:
Citation_Information:
Originator: Reclamation
Publication_Date: 2014
Title:
Downscaled CMIP3 and CMIP5 climate and hydrology projections
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publisher: U.S. Department of the Interior, Bureau of Reclamation
Other_Citation_Details:
Retrieved 7 May 2021
Online_Linkage: http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1977
Ending_Date: 2099
Source_Currentness_Reference:
Publication Date
Source_Citation_Abbreviation:
Reclamation (2014)
Source_Contribution:
Gridded total runoff data (sum of surface runoff and baseflow, in millimeters) (1977-2099) were downloaded from:

Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections. (2014). Retrieved May 7, 2021 from:
http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/

For more information about the source data, go here: https://gdo-dcp.ucllnl.org/downscaled_cmip_projections/dcpInterface.html#About (Hydrology tab)

To download the data, go here: ftp://gdo-dcp.ucllnl.org/pub/dcp/archive/cmip5/hydro/BCSD_daily_VIC_nc/

Additional information about this data source:
Reclamation. 2014. Downscaled CMIP3 and CMIP5 hydrology projections – Release of hydrology projections, comparison with preceding information and summary of user needs. U.S. Department of the Interior, Bureau of Reclamation. 110 p. https://gdo-dcp.ucllnl.org/downscaled_cmip_projections/techmemo/BCSD5HydrologyMemo.pdf
Source_Information:
Source_Citation:
Citation_Information:
Originator: World Climate Research Programme's Working Group on Coupled Modelling (WGCM)
Publication_Date: Unknown
Title:
Coupled Model Intercomparison Project (CMIP)
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publisher: World Climate Research Programme
Online_Linkage: https://www.wcrp-climate.org/wgcm-cmip
Type_of_Source_Media: Online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1850
Ending_Date: 2100
Source_Currentness_Reference:
Publication Date
Source_Citation_Abbreviation:
CMIP
Source_Contribution:
We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed below) for producing and making available their model output. For CMIP, the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.

For more information about why these climate scenarios were selected:
Joyce, Linda A.; Coulson, David. 2020. Climate scenarios and projections: A technical document supporting the USDA Forest Service 2020 RPA Assessment. Gen. Tech. Rep. RMRS-GTR-413. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 85 p. https://doi.org/10.2737/RMRS-GTR-413

For more information about why the RCP 8.5 scenario was selected:
Schwalm, Christopher R.; Glendon, Spencer; Duffy, Phillip B. 2020. RCP8.5 tracks cumulative CO2 emissions. Proceedings of the National Academy of Sciences. 117(33): 19656-19657. https://www.pnas.org/doi/10.1073/pnas.2007117117
Process_Step:
Process_Description:
To calculate flow metrics for each stream segment, we started with gridded estimates of total runoff for the contiguous United States for three time periods: the historical period (1977-2006), mid-century (2030-2059), and end-of-century (2070-2099). We downloaded all of these from the Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections archive (Reclamation 2014). Total runoff was calculated using the Variable Infiltration Capacity (VIC) hydrologic model, which uses climate and other inputs to simulate land-atmosphere fluxes, water balance, and hydrological processes (Liang et al. 1994). The climate inputs for this were downscaled using the Bias Correction and Spatial Disaggregation method (Wood et al. 2004), producing runoff data with output grid cells of 1/8 degree (approximately 12 kilometers) on a side. The projected future climate data use RCP 8.5 (a high emissions scenario—see Schwalm et al. 2020 for discussion of this choice). We used five CMIP5 global climate models (GCMs) (Lawrence Livermore National Laboratory 2021), following the five used by the 2020 Forest Service 2020 RPA Assessment (Joyce and Coulson 2020):

• Least warm: MRI-CGCM3 (Meteorological Research Institute)
• Hot: HadGEM2-ES (Met Office Hadley Centre / Instituto Nacional de Pesquisas Espaciais)
• Dry: IPSL-CM5A-MR (Institut Pierre-Simon Laplace)
• Wet: CNRM-CM5 (Centre National de Recherches Meteorologiques / Centre Europeen de Recherche et Formation Avancees en Calcul Scientifique)
• Middle: NorESM1-M (Norwegian Climate Centre)

To create stream hydrographs, we took the total runoff for each grid cell, and used this to calculate the total flow in each of the NHDPlusV2 catchments intersecting that cell (U.S. Geological Survey et al. 2012). We then applied these values to the stream segments associated with each catchment, applying a unit hydrograph to simulate the distribution of lag times required for runoff to work its way into the stream and then accumulated these flows downstream (Wenger et al. 2010; see Figure 2 for a visualization of this). These calculations resulted in three long-term time series of daily stream flow for each stream segment: one for the historical period, one for the middle of the 21st century, and one for the end of the century. For each stream segment and time period, we calculated the flow metrics described below. We then averaged the results of the five models listed above to produce an ensemble projection; individual model results are available upon request. We removed stream segments without values for these flow metrics, as well as coastal line segments; versions of the streamflow metric datasets including all NHD segments are also available upon request. For project details, a user guide, and maps, see: https://www.fs.usda.gov/rm/boise/AWAE/projects/modeled_stream_flow_metrics.shtml.

This differs from previous versions of the flow metrics dataset in that: a) It covers the entire contiguous United States, rather than just the western states. b) This uses updated input data, with newer climate scenarios and models (CMIP5/RCP 8.5 instead of CMIP3/A1B). c) There are a variety of new flow metrics included in this version. d) In this version, flow metrics were calculated for each GCM and then these outputs were averaged. In the previous version, the gridded runoff data from 10 different GCMs were averaged together and then this average was used as the input for the flow metrics calculation. The reason for this change is that in previous versions of the models, future projections involved perturbing the historical time series: all models used the same historical time series, with flood events on the same days, just differences in their magnitudes, so all could be averaged together. In the new models, the data were modeled stochastically, not by perturbing the historical time series, so averaging the gridded output from the different models would have the effect of smoothing out the hydrographs, muting the magnitude of flood events. Calculating the flow metrics for each model separately and then averaging the results at the end resolves this issue. e) In the original version of the data, datasets were served as .dbf tables, rather than as geospatial data.


For more information about the streamflow analysis methods:
Wenger, Seth J.; Luce, Charles H.; Hamlet, Alan F.; Isaak, Daniel J.; Neville, Helen M. 2010. Macroscale hydrologic modeling of ecologically relevant flow metrics. Water Resources Research. 46(9): W09513. https://doi.org/10.1029/2009WR008839 and https://research.fs.usda.gov/treesearch/36238

For more information about the Variable Infiltration Capacity model:
Liang, X.; Lettenmaier, Dennis P.; Wood, Eric F.; Burges, Stephen J. 1994. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research: Atmospheres. 99(D7): 14415-14428. https://doi.org/10.1029/94JD00483

For more information about the Bias Correction and Spatial Disaggregation method used by this dataset:
Wood, A.W.; Leung, L.R.; Sridhar, V.; Lettenmaier, D. 2004. Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Climatic Change. 62(1): 189-216. https://doi.org/10.1023/B:CLIM.0000013685.99609.9e

For more information regarding CMIP5 data access and availability:
Lawrence Livermore National Laboratory. 2021. CMIP5 - Data Access - Availability. https://pcmdi.llnl.gov/mips/cmip5/availability.html
Process_Date: Unknown
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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. US_VIC_Metrics_UserGuide_2022_07_14.pdf: Portable Document Format file containing the 2022 Data User Guide for this U.S. stream flow metric dataset: Modeled flow metrics for stream segments in the United States under historical conditions and projected climate change scenarios. (This file contains detailed information about the attributes of the GDB files included in this package. At the time of publication, this file was also available at https://www.fs.usda.gov/rm/boise/AWAE/projects/VIC_streamflowmetrics/downloads/US_VIC_Metrics_UserGuide.pdf.)



DATA FILES (3)

1. \Data\VIC_US_FlowMetrics.gdb: Esri geodatabase (GDB) file containing 'FlowMet_Merge_Proj_Clean' which provides flow metrics for all time periods, NHD regions, and models, merged, projected, and cleaned, for the 5-model average results.


2. \Data\VIC_US_FlowMetrics_ByTimePeriod.gdb: Esri geodatabase (GDB) file containing individual streamflow metric files for each time period (2040, 2080, and historical), and for the absolute and percent change between them, for the 5-model average results:

'FlowMet_Merge_Proj_Clean_Hist' = historical

'FlowMet_Merge_Proj_Clean_2040' = mid-century time period, centered around the 2040s

'FlowMet_Merge_Proj_Clean_2080' = end-of-century time period, centered around the 2080s

'FlowMet_Merge_Proj_Clean_a2040' = absolute change between the historical and mid-century time period

'FlowMet_Merge_Proj_Clean_a2080' = absolute change between the historical and end-of-century time period

'FlowMet_Merge_Proj_Clean_p2040' = percent change between the historical and mid-century time period

'FlowMet_Merge_Proj_Clean_p2080' = percent change between the historical and end-of-century time period

NOTE: Additional metadata for each feature class is provided in this file.


3. \Data\VIC_US_FlowMetrics_GCMs.gdb: Esri geodatabase (GDB) file containing individual streamflow metric files for each time period, and for the absolute and percent change between them, for each of 5 climate models:

'FlowMet_Merge_cnrm_cm5' = Wet (Centre National de Recherches Meteorologiques / Centre Europeen de Recherche et Formation Avancees en Calcul Scientifique)

'FlowMet_Merge_hadgem2_es' = Hot (Met Office Hadley Centre / Instituto Nacional de Pesquisas Espaciais)

'FlowMet_Merge_ipsl_cm5a_mr' = Dry (Institut Pierre-Simon Laplace)

'FlowMet_Merge_mri_cgcm3' = Least warm (Meteorological Research Institute)

'FlowMet_Merge_noresm1_m' = Middle (Norwegian Climate Centre)



SUPPLEMENTAL FILES (159)

1. \Supplements\Data_available_upon_request.pdf: PDF file containing a list and description of additional files that are available for these data upon request. (These files total 8 TB and are too large to provide for electronic download. Please contact authors if you are interested in the entire package, or other files not included with the summarized data.)

2-159. \Supplements\USMaps\*.pdf: PDF files (158) containing maps for each hydrology metric and time period, plus the absolute and percent change, for the entire contiguous United States. (Filenames are self-explanatory.)
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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 April 2025. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2025-0018
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: GDB
Format_Version_Number: see Format Specification
Format_Specification:
Esri file geodatabase (and associated files)
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2025-0018
Digital_Form:
Digital_Transfer_Information:
Format_Name: PDF
Format_Version_Number: see Format Specification
Format_Specification:
Portable Document Format file
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2025-0018
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Metadata_Reference_Information:
Metadata_Date: 20250417
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service
Contact_Person: Nathan Walker
Contact_Position: GIS Specialist
Contact_Address:
Address_Type: mailing and physical
Address: 1220 SW 3rd Ave
City: Portland
State_or_Province: OR
Postal_Code: 97204
Country: USA
Contact_Electronic_Mail_Address: nathan.walker1@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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