Southeast Alaska old-growth forest stem map data collected in 1964 on ten 1.42 hectare plots

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Schneider, Eryn E.
Originator: Crotteau, Justin S.
Originator: Larson, Andrew J.
Publication_Date: 2020
Title:
Southeast Alaska old-growth forest stem map data collected in 1964 on ten 1.42 hectare plots
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2020-0025
Description:
Abstract:
This data publication includes data used in "Spatial aspects of structural complexity in Sitka spruce – western hemlock forests, including evaluation of a new canopy gap delineation method" by Schneider and Larson (2017). These data represent trees and plots from a study led by Vernon LaBau for his M.S. Thesis at Oregon State University, which he completed in 1967. Data were collected in 1964 on ten, 1.42 hectare plots (laid out as 5 by 7 chains). Data include tree location within subplots, tree species, diameter at breast height, and height in logs.
Purpose:
Data were originally collected to assess the utility of clustered point (prism) sampling to quantify old-growth forest structure in the unique rainforests of southeast Alaska. LaBau wrote: "This study was a test of eight basal area factors and five point sampling cluster patterns in a computer oriented sampling study of coastal Alaska old-growth spruce-hemlock stands. It was an attempt to learn which basal area factor and which type of point sample cluster pattern should be used in such stands. A test of the effect of stand density on point sampling was also made." This data continues to be valuable for research and has been most recently used to assess spatial pattern of old-growth forests in southeast Alaska.
Supplemental_Information:
These data were originally published on 04/01/2020. Minor metadata updates were made on 07/21/2022.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1964
Currentness_Reference:
Ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As Needed
Spatial_Domain:
Description_of_Geographic_Extent:
Data were collected in the 1964 delineation of the Tongass National Forest in southeast Alaska. Plot locations are predominately located about Juneau, AK, with two locations near Petersburg, AK.
Bounding_Coordinates:
West_Bounding_Coordinate: -135.00000
East_Bounding_Coordinate: -132.00000
North_Bounding_Coordinate: 59.00000
South_Bounding_Coordinate: 56.00000
Bounding_Altitudes:
Altitude_Minimum: 10.000
Altitude_Maximum: 500.000
Altitude_Distance_Units: meters
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: biota
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Natural Resource Management & Use
Theme_Keyword: Ecology, Ecosystems, & Environment
Theme_Keyword: Inventory, Monitoring, & Analysis
Theme_Keyword: Resource inventory
Theme_Keyword: Inventory, Monitoring, & Analysis
Theme_Keyword: Techniques
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Picea sitchensis
Theme_Keyword: Tsuga heterophylla
Theme_Keyword: old growth
Theme_Keyword: large plot
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Alaska
Place_Keyword: Tongass National Forest
Place_Keyword: Juneau
Place_Keyword: Petersburg
Place_Keyword: southeast Alaska
Taxonomy:
Keywords/Taxon:
Taxonomic_Keyword_Thesaurus:
None
Taxonomic_Keywords: multiple species
Taxonomic_Keywords: plants
Taxonomic_System:
Classification_System/Authority:
Classification_System_Citation:
Citation_Information:
Originator: ITIS
Publication_Date: 2020
Title:
Integrated Taxonomic Information System
Geospatial_Data_Presentation_Form: database
Other_Citation_Details:
Retrieved [March, 26, 2020]
Online_Linkage: https://www.itis.gov
Classification_System_Modifications:
The original species is recorded as: Chamaecyparis nootkatensis, but the taxonomy provided here is for the currently accepted name: Callitropsis nootkatensis.
Taxonomic_Procedures:
Taxonomic_Classification:
Taxon_Rank_Name: Kingdom
Taxon_Rank_Value: Plantae
Applicable_Common_Name: plantes
Applicable_Common_Name: Planta
Applicable_Common_Name: Vegetal
Applicable_Common_Name: plants
Taxonomic_Classification:
Taxon_Rank_Name: Subkingdom
Taxon_Rank_Value: Viridiplantae
Applicable_Common_Name: green plants
Taxonomic_Classification:
Taxon_Rank_Name: Infrakingdom
Taxon_Rank_Value: Streptophyta
Applicable_Common_Name: land plants
Taxonomic_Classification:
Taxon_Rank_Name: Superdivision
Taxon_Rank_Value: Embryophyta
Taxonomic_Classification:
Taxon_Rank_Name: Division
Taxon_Rank_Value: Tracheophyta
Applicable_Common_Name: vascular plants
Applicable_Common_Name: tracheophytes
Taxonomic_Classification:
Taxon_Rank_Name: Subdivision
Taxon_Rank_Value: Spermatophytina
Applicable_Common_Name: spermatophytes
Applicable_Common_Name: seed plants
Applicable_Common_Name: phanérogames
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Magnoliopsida
Taxonomic_Classification:
Taxon_Rank_Name: Superorder
Taxon_Rank_Value: Rosanae
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Fagales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Betulaceae
Applicable_Common_Name: alder
Applicable_Common_Name: birch
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Alnus
Applicable_Common_Name: alder
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Alnus rubra
Applicable_Common_Name: red alder
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Malpighiales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Salicaceae
Applicable_Common_Name: willows
Applicable_Common_Name: saules
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Populus
Applicable_Common_Name: cottonwood
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Populus tremuloides
Applicable_Common_Name: quaking aspen
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Pinopsida
Applicable_Common_Name: conifers
Taxonomic_Classification:
Taxon_Rank_Name: Subclass
Taxon_Rank_Value: Pinidae
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Pinales
Applicable_Common_Name: pines
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Pinaceae
Applicable_Common_Name: pines
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Picea
Applicable_Common_Name: spruce
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Picea sitchensis
Applicable_Common_Name: coast spruce
Applicable_Common_Name: tideland spruce
Applicable_Common_Name: yellow spruce
Applicable_Common_Name: Sitka spruce
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Tsuga
Applicable_Common_Name: hemlock
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Tsuga heterophylla
Applicable_Common_Name: Pacific hemlock
Applicable_Common_Name: West Coast hemlock
Applicable_Common_Name: western hemlock
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Cupressaceae
Applicable_Common_Name: cypress
Applicable_Common_Name: redwood
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Callitropsis
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Callitropsis nootkatensis
Applicable_Common_Name: Alaska cedar
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:

Schneider, Eryn E.; Crotteau, Justin S.; Larson, Andrew J. 2020. Southeast Alaska old-growth forest stem map data collected in 1964 on ten 1.42 hectare plots. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0025
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Justin Crotteau
Contact_Organization: USDA Forest Service, Rocky Mountain Research Station
Contact_Position: Research Forester
Contact_Address:
Address_Type: mailing and physical
Address: 800 E Beckwith Ave.
City: Missoula
State_or_Province: MT
Postal_Code: 59801
Country: USA
Contact_Voice_Telephone: 406-542-4169
Contact_Electronic_Mail_Address: justin.crotteau@usda.gov
Data_Set_Credit:
These data were collected with support from the USDA Forest Service and Oregon State University in 1964. University of Montana personnel used 1964 data to produce stem maps. USDA Forest Service, Pacific Northwest Research Station was responsible for preparing these data for publication.
Cross_Reference:
Citation_Information:
Originator: Schneider, Eryn E.
Originator: Larson, Andrew J.
Publication_Date: 2017
Title:
Spatial aspects of structural complexity in Sitka spruce-western hemlock forests, including evaluation of a new canopy gap delineation method
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Canadian Journal of Forest Research
Issue_Identification: 47(8): 1033-1044
Online_Linkage: https://doi.org/10.1139/cjfr-2017-0029
Cross_Reference:
Citation_Information:
Originator: LaBau, Vernon J.
Publication_Date: 1967
Title:
An analysis of design and technique of cluster point sampling in coastal Alaska old-growth forests
Geospatial_Data_Presentation_Form: Masters Thesis
Series_Information:
Series_Name: M.S. Thesis
Publication_Information:
Publication_Place: Corvallis, OR
Publisher: Oregon State University
Other_Citation_Details:
84 p.
Online_Linkage: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/g158bn918
Analytical_Tool:
Analytical_Tool_Description:
R is a language and environment for statistical computing and graphics.
Tool_Access_Information:
Online_Linkage: https://www.R-project.org/
Tool_Access_Instructions:
See website for more information.
Tool_Citation:
Citation_Information:
Originator: R Core Team
Publication_Date: 2019
Title:
R: A language and environment for statistical computing
Geospatial_Data_Presentation_Form: software
Publication_Information:
Publication_Place: Vienna, Austria
Publisher: R Foundation for Statistical Computing
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Data have been checked for accuracy. Attribute accuracy is detailed in LaBau (1967).
Logical_Consistency_Report:
Data have been checked for logical consistency.
Completeness_Report:
no missing data
Lineage:
Methodology:
Methodology_Type: Field
Methodology_Description:
A study plan was prepared and approved in the spring of 1964. A field manual was written to accompany the study plan and preliminary test runs of field techniques were made (\Supplements\3_Manual_of_field_instructions.pdf).

PLOT SELECTION

The size of the field plot was set at 3.5 acres (5 x 7 chains) to avoid the possibility of bias due to the computer sampling missing qualifying trees which fell outside the field plot. Preliminary study indicated that when sampling from the Forest Service basic 10 point cluster pattern with a 20 basal area factor, an area of at least 3.5 acres was needed to provide a buffer zone for computer sampling. This buffer zone would assure that no trees which should be counted at a given point were beyond the boundaries of the field plot.

The 3.5 acre plots were selected from photo centers of 1963 aerial photography (1:15, 840 scale) of an area surrounding Juneau, Alaska. Two plots were selected near Petersburg to get a measure of heavier volume timber which was not indigenous to the Juneau area.

Ninety-two aerial photo centers from coverage of the study area were examined. Certain restrictions had to be met before a photo center point qualified for the sample draw. The forest type associated with the photo center had to be as follows:
accessible--less than one mile from beaches or roads
commercial--forest land capable of producing 8000 board feet per acre (net)
old-growth--more than 150 years old
spruce and/or hemlock forest
five acres or larger--each area had to be large enough to accomodate a 5 x 7 chain rectangular plot

All photo centers meeting these requirements were classified into either the medium density class (40% to 69% crown closure) or the full density class (70% to 100% crown closure). Moessner's crown density scales (1949) were used as guides for this classification. Originally, the plan called for sampling poor density stands. However, none of the photo centers falling on poor density types qualified as commercial forest land. Twenty-six of the photo centers examined qualified for sampling, only five of which were medium density stands. All five of the medium density points were selected for field measurement. Five of the twenty-one full density photo center points were randomly selected for field plots.


FIELD PROCEDURES

The photos selected for sampling were used with standard Forest Survey procedures to locate the field plots. The photo center point was located in the field, and this served as the initial point of the 3.5 acre field plot. The field plot was oriented at 00 if this orientation placed the entire plot within the forest type as interpreted on the photos. If not, second, third, and fourth choices of plot orientation were 180°, 90°, and 270°, respectively. Provisions were made for going beyond this, if necessary, but are not presented here.

After orientation, the boundary control was laid out. From the initial point, a line was run for three chains on a bearing opposite to that of plot orientation. From this primary control point, boundary lines were run around the plot using a staff compass, topographic chain, and relascope. These lines were marked with string. The four corners of the plots were staked and witnessed. Secondary control points were established along the narrower sides of the plot. These were located at one chain intervals from the plot corners. These secondary control points would be used later to subdivide the plot into five corridors one chain wide and seven chains long. As the boundary lines were laid out, records were kept of tree diameter and location for all trees 37 inches diameter at breat height (DBH) and larger which fell less than one chain outside of the plot boundary. These were trees which would demand consideration when making the final decision of what minimum basal area factor would be used in the computer simulation program.

The maximum error allowed in closing the traverse on the primary control point was 1 in 300. If this closure was not attained, the source of error was determined, and the boundary lines were corrected.

The plot was then subdivided into five corridors one chain wide and seven chains long. These corridors were separated by string lines which were tied in at each end with the secondary control points which were established when the exterior boundary was traversed. The plot was then ready for stem mapping. The stem mapping was done in subplot units of one-tenth acre, following this pattern:
35 22 21 8 7
34 23 20 9 6
33 24 19 10 5
32 25 18 11 4
31 26 17 12 3
30 27 16 13 2
29 28 15 14 1

A steel tape, corrected for slope, was laid down the middle of subplot one and staked semipermanently. The head chainman staked the zero end at the upper end of the plot, and the rear chainman staked the corrected tape reading at the subplot initial point. All trees 3.0 inches DBH and larger were stem mapped, progressing up the left side of the subplot and back down the right side. One crew member moved up the center line, sighting from a hand compass set +90° to the subplot centerline. As his compass sight intersected trees, he plumbed the point on the center tape. This distance, uncorrected for slope, was recorded as latitude distance for the tree. A second taped distance from the center line to the center of the sighted tree was recorded as longitude distance. A zero was recorded as the first digit of the longitude distance code for all trees to the left of the center line. If the tape could not be leveled from the center line to the tree center, a slope reading in degrees was recorded as longitude degrees, and the uncorrected slope distance recorded. A 00 code was recorded for longitude degrees where level distances were measured. Each tree on the subplot also received a latitude degree code to indicate the slope of the centerline. These slope distances were later corrected to level distances by the computer program. Other information coded for each tree included tree number, species, DBH to the tenth inch, and log height in 16 foot logs to a merchantable top. Five species were recognized. They were as follows:
1. Sitka spruce Picea sitchensis (Bong. ) Carr.
2. Western hemlock Tsuga heterophylla (Rafn.) Sarg.
3. Alaska-cedar Chamaecyparis nootkatensis (D. Don) Spa ch,
4. Black cottonwood Populus trichocarpa Torr. and Gray.
5. Red alder Alnus rubra Bong.

After the left side of the subplot was mapped, the crews progressed back down the right side. The same information was recorded, except that a minus preceded all coded longitude distances for trees mapped on the right side of the subplot. Upon completion of subplot one, the centerline tape was moved to the second subplot. There, it was again staked down semipermanently, using the endpoint of the first subplot as the starting point of the second. This was repeated for all 35 subplots. To avoid wasted motion, subplots 8 through 14 and 22 through 28 were mapped in a reverse direction to that of the other 21 subplots. The same codings were used to designate trees to the left or right of the line. This, at first, appeared to present a problem when applying grid coordinates to these trees for use in the computer sampling program. This problem was resolved with less trouble than anticipated.

Occasionally, because of brush or rough terrain, the mapping could be done for only 33 feet of the subplot at a time. Application of slope corrections for the last 33 feet required handling the centerline distances slightly differently to keep these readings consistent with the normal centerline readings.
Methodology_Citation:
Citation_Information:
Originator: LaBau, Vernon
Publication_Date: Unpublished material
Title:
Manual of field instructions for the prism factor-point cluster study
Geospatial_Data_Presentation_Form: document
Other_Citation_Details:
June 1964; included in data publication download: \Supplements\3_Manual_of_field_instructions.pdf
Methodology_Citation:
Citation_Information:
Originator: Moessner, Karl E.
Publication_Date: 1947
Title:
A crown density scale for photo interpreters
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Journal of Forestry
Issue_Identification: 45(6): 434-436
Process_Step:
Process_Description:
Measured within-subplot latitude and longitude were converted to a global (plot-scale) XY coordinate system. Latitude and longitude values were converted from slope distance to horizontal distance using the cosine of the slope angle, then added to subplot level offsets.
Process_Date: 2017
Process_Step:
Process_Description:
Stem maps were generated using the R statistical package to display tree locations and canopy openings. Canopy openings were determined using a canopy opening detection algorithm in R based on point-patterns and a user-designated threshold distance from nearest trees. See Scheider and Larson (2017) for more details.

Schneider, Eryn E.; Larson, Andrew J. 2017. Spatial aspects of structural complexity in Sitka spruce-western hemlock forests, including evaluation of a new canopy gap delineation method. Canadian Journal of Forest Research 47(8): 1033-1044. https://doi.org/10.1139/cjfr-2017-0029
Process_Date: 2017
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Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
Below you will find a description of the files available in this data publication. If applicable, data minimums and maximums are also provided as: (min, max).

DATA FILES

\Data\Data.csv: Comma-delimited ASCII file containing information on trees in each plot and subplot combination, used by LaBau (1967) and Schneider and Larson (2017). Variables described below.

Plot = plot number. Plots include 32, 76, 104, 111, 130, 132, 141, 143, 161, 220

Subplot = subplot number within Plot. (1, 35)

TransectDirection = direction of transect within Subplot. Directions include 1 (along azimuth of Plot orientation) and 0 (back-azimuth of Plot orientation)

TreeNumber = ordinal tree number within Plot. Trees NOT tagged. (1-945)

Species = 4 letter tree species code. Codes include ALRU (Alnus rubra), CHNO (Chamaecyparis nootkatensis), PISI (Picea sitchensis), POTR (Populus tremuloides), TSHE (Tsuga heterophylla). (There is one case of species=#N/A and the reasoning for this is unknown.)

DBH.in = diameter at breast height (DBH; 4.5 feet, 1.37 meters) in tenths of inches. (30, 699)

DBH.cm = DBH (4.5 feet, 1.37 meters) in centimeters. (7.6, 177.5)

Height.16ftlogs = number of merchantable 16 foot logs from the 2 foot sump to a top diameter inside bark equal to 40% of DBH, but not less than 8 inches in hardwoods or 6 inches in softwoods. Trees under 11.0 inches DBH will receive a 0. (0, 8)

SideSlope.deg = slope from the tree to the closes point of the transect centerline, in degrees. (0, 60)

CenterSlope.deg = slope of the transect centerline, in degrees. (0, 88)

LongCoords.ft = slope distance (in tenths of feet) from the tree to the transect centerline. Positive values indicate tree is to the right of the centerline, negative values indicate tree is to the left of the centerline. (-699, 970)

LatCoords.ft = slope distance (in tenths of feet) of tree along the transect centerline. (1, 864)

Xcoord.m = tree distance from origin along minor axis (i.e., perpendicular to Plot orientation), in meters. Origin is the bottom left corner of Subplot 29. (-11.2, 120.1)

Ycoord.m = tree distance from origin along major axis (i.e., with Plot orientation), in meters. Origin is the bottom left corner of Subplot 29. (0, 140.8)


\Data\Plot_locations.csv: Comma-delimited ASCII file containing information on geographic plot location and stand attributes. Variables described below.

Plot = Plot number. Plots include 32, 76, 104, 111, 130, 132, 141, 143, 161, 220.

Latitude = latitude North in decimal degrees. (56.693, 58.54)

Longitude = longitude West in decimal degrees. (132.854, 134.958)

Elevation.m = elevation above mean sea level in meters. (10, 500)

USGS.1.250000.map = United States Geological Survey aerial photo name

Stocking = Plot volume stocking level, per Moessner (1949). Levels include medium (40-69% canopy cover) and full/well (70-100% canopy cover) stocked.

Gross.vol.Scribner.bdft = total Scribner board foot volume in Plot. (26764, 110947)



SUPPLEMENTAL FILES

\Supplements\Manual_of_field_instructions.pdf: Portable document format file containing information on the process of plot location and data acquisition in 1964, cited in LaBau 1967.

\Supplements\Overview_maps.pdf: Portable document format file containing overview maps of plots in the Juneau and Petersburg, Alaska areas.

\Supplements\Aerial_photo_maps\Plot##.pdf: Portable document format files containing plot maps, named by plot number (##). Maps are scanned aerial photographs and include hand-drawn plot boundaries and relocation information. (## = 32, 76, 104, 111, 130, 132, 141, 143, 161, and 220)

\Supplements\Stem_maps\Plot##.png: Portable Network Graphics files containing plot stem maps, named by plot number (##). Maps were generated in statistical package R and showcase stem locations in XY space, species, size class, gap type, and patch size (Schneider and Larson 2017). (## = 32, 76, 104, 111, 130, 132, 141, 143, 161, and 220)
Entity_and_Attribute_Detail_Citation:
LaBau, Vernon J. 1967. An analysis of design and technique of cluster point sampling in coastal Alaska old-growth forests. M.S. Thesis, Oregon State University, Corvallis, OR. 84 p. https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/g158bn918

Schneider, Eryn E.; Larson, Andrew J. 2017. Spatial aspects of structural complexity in Sitka spruce-western hemlock forests, including evaluation of a new canopy gap delineation method. Canadian Journal of Forest Research 47(8): 1033-1044. https://doi.org/10.1139/cjfr-2017-0029
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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 2022. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2020-0025
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: ASCII
Format_Version_Number: see Format Specification
Format_Specification:
Comma-delimited ASCII text file (CSV)
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-2020-0025
Digital_Form:
Digital_Transfer_Information:
Format_Name: PNG
Format_Version_Number: see Format Specification
Format_Specification:
Portable Network Graphics file
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-2020-0025
Digital_Form:
Digital_Transfer_Information:
Format_Name: PDF
Format_Version_Number: see Format Specification
Format_Specification:
Portable Document Format file
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-2020-0025
Fees: None
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Metadata_Reference_Information:
Metadata_Date: 20220721
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Justin Crotteau
Contact_Organization: USDA Forest Service, Rocky Mountain Research Station
Contact_Position: Research Forester
Contact_Address:
Address_Type: mailing and physical
Address: 800 E Beckwith Ave.
City: Missoula
State_or_Province: MT
Postal_Code: 59801
Country: USA
Contact_Voice_Telephone: 406-542-4169
Contact_Electronic_Mail_Address: justin.crotteau@usda.gov
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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