RPA forest products market data for U.S. RPA Regions and the world, historical (1990-2015), and projected (2020-2070) using the Forest Resource Outlook Model (FOROM)
Metadata:
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Identification_Information:
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Citation:
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Citation_Information:
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Originator: Johnston, Craig M.T.
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Originator: Guo, Jinggang
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Originator: Prestemon, Jeffrey P.
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Publication_Date: 2022
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Title:
RPA forest products market data for U.S. RPA Regions and the world, historical (1990-2015), and projected (2020-2070) using the Forest Resource Outlook Model (FOROM)- Edition: 1st
- 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-2022-0073
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Description:
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Abstract:
- The United States and the world underwent immense economic, social and economic change over the ten years since the last Resources Planning Act (RPA) Assessment, all of which have impacts on production and consumption of forest products. The data in this publication include recent trends (1990-2015) in global and U.S. forest products consumption, production, prices, and net trade. These data also include economic projections (2020-2070) of production, consumption, manufactured product prices, net trade, timber harvest levels, and timber prices, as influenced by four future scenarios regarding economic and population growth, and changing biomass energy demand through 2070. These RPA scenarios pair two alternative climate futures (Representative Concentration Pathways or RCPs) with four alternative futures (Shared Socioeconomic Pathways or SSPs) in the following combinations of U.S. socioeconomic growth: RCP 4.5 and SSP1 (lower warming-moderate, LM), RCP 8.5 and SSP3 (high warming-low, HL), RCP 8.5 and SSP2 (high warming-moderate, HM), and RCP 8.5 and SSP5 (high warming-high, HH).
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Purpose:
- The USDA Forest Service (USFS) produces a periodic assessment of the conditions and trends of the Nation's renewable resources required by the Forest and Rangeland Renewable Resources Planning Act (RPA) of 1974. This RPA Assessment provides a snapshot of current U.S. forest and rangeland conditions and trends on all ownerships, identifies drivers of change, and projects 50 years into the future (https://www.fs.usda.gov/research/inventory/rpaa, Resources Planning Act (RPA) Assessment). For the 2020 RPA Assessment, a new market model named FOROM has been developed providing projections to 2070 for 20 wood products. The FOrest Resource Outlook Model (FOROM) is a global recursive dynamic partial equilibrium model of the forest sector that recognizes Resources Planning Act (RPA) Assessment regions as separate producing, consuming, and trading market regions within a complete global market (Johnston et al. 2021).
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Supplemental_Information:
- The FOrest Resource Outlook Model (FOROM) is a global recursive dynamic partial equilibrium model of the forest sector that recognizes Resources Planning Act (RPA) Assessment regions as separate producing, consuming, and trading market regions within a complete global market. FOROM is calibrated to a base year and projects future market variables of price, production, consumption, and trade of primary and secondary forest products across various socioeconomic development paths. Further captured in the model are predicted changes in forest area and forest stocks (inventory volumes) by management category. The model also incorporates changes to forest inventory under specifications of productivity changes as driven by climate change and greenhouse gas accumulations. For more information on the model, please refer to Johnston et al. (2021).
This first edition was published on 11/30/2022. A second edition of these data is now available (Johnston et al. 2023, https://doi.org/10.2737/RDS-2022-0073-2) and we recommend use of that version.
For more information about the RPA forest products market data, see Johnston et al. (2023).
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Time_Period_of_Content:
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Time_Period_Information:
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Range_of_Dates/Times:
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Beginning_Date: 1990
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Ending_Date: 2070
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Currentness_Reference:
- Ground condition
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Status:
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Progress: Complete
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Maintenance_and_Update_Frequency: None planned
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Spatial_Domain:
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Description_of_Geographic_Extent:
- Global; with the United States described across six RPA regions: Pacific Coast, Rocky Mountain, North Central, North East, South Central, South East
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Bounding_Coordinates:
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West_Bounding_Coordinate: -180
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East_Bounding_Coordinate: 180
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North_Bounding_Coordinate: 90
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South_Bounding_Coordinate: -90
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Keywords:
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Theme:
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Theme_Keyword_Thesaurus: ISO 19115 Topic Category
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Theme_Keyword: economy
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Theme_Keyword: society
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Theme:
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Theme_Keyword_Thesaurus: National Research & Development Taxonomy
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Theme_Keyword: Climate change
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Theme_Keyword: Climate change effects
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Theme_Keyword: Forest Products
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Theme_Keyword: Forest products industry
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Theme:
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Theme_Keyword_Thesaurus: None
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Theme_Keyword: economy
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Theme_Keyword: forest product markets
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Theme_Keyword: global
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Theme_Keyword: socioeconomic trends
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Theme_Keyword: climate change
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Theme_Keyword: RPA Assessment
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Theme_Keyword: Resources Planning Act Assessment
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Place:
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Place_Keyword_Thesaurus: None
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Place_Keyword: United States
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Place_Keyword: global
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Access_Constraints: None
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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:
Johnston, Craig M.T.; Guo, Jinggang; Prestemon, Jeffrey P. 2022. RPA forest products market data for U.S. RPA Regions and the world, historical (1990-2015), and projected (2020-2070) using the Forest Resource Outlook Model (FOROM). Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0073
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Point_of_Contact:
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Contact_Information:
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Contact_Organization_Primary:
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Contact_Organization: USDA Forest Service, Southern Research Station
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Contact_Person: Jeffrey P. Prestemon
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Contact_Position: Senior Research Forester and Project Leader
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Contact_Address:
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Address_Type: mailing
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Address: Forestry Sciences Laboratory, P.O. Box 12254
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City: Research Triangle Park
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State_or_Province: NC
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Postal_Code: 27709
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Country: USA
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Contact_Voice_Telephone: 919-549-4033
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Contact_Electronic_Mail_Address:
jeffrey.prestemon@usda.gov
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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.
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Data_Set_Credit:
- This project was funded by the USDA Forest Service, Southern Research Station (16-JV-11330143-039, 20-IJ-11330180-050, 20-JV-11330180-100, and 22-JV-11330180-029); the U.S. Department of Energy, Oak Ridge Institute for Science and Education (18-IA-11330155-060); and the USDA Forest Service, Resources Planning Act (RPA) Assessment.
Author Information:
Craig M.T. Johnston
Independent researcher, Ottowa, CA
Jinggang Guo
Louisiana State University, Department of Agricultural Economics & Agribusiness
https://orcid.org/0000-0003-0676-4792
Jeffrey P. Prestemon
USDA Forest Service, Southern Research Station
https://orcid.org/0000-0001-8850-5668
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Cross_Reference:
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Citation_Information:
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Originator: Johnston, Craig M.T.
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Originator: Guo, Jinggang
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Originator: Prestemon, Jeffrey P.
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Publication_Date: 2023
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Title:
RPA forest products market data for U.S. RPA Regions and the world, historical (1990-2015), and projected (2020-2070) using the Forest Resource Outlook Model (FOROM)- Edition: 2nd
- 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-2022-0073-2
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Cross_Reference:
-
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Citation_Information:
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Originator: Johnston, Craig M.T.
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Originator: Guo, Jinggang
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Originator: Prestemon, Jeffrey P.
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Publication_Date: 2021
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Title:
The FOrest Resource Outlook Model (FOROM): a technical document supporting the Forest Service 2020 RPA Assessment- Geospatial_Data_Presentation_Form: document
- Series_Information:
- Series_Name: General Technical Report
- Issue_Identification: SRS-254
- Publication_Information:
- Publication_Place: Asheville, NC
- Publisher: U.S. Department of Agriculture Forest Service, Southern Research Station
- Other_Citation_Details:
- 19 p.
- Online_Linkage: https://doi.org/10.2737/SRS-GTR-254
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Cross_Reference:
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Citation_Information:
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Originator: Johnston, Craig M.T.
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Originator: Guo, Jinggang
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Originator: Prestemon, Jeffrey P.
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Publication_Date: 2023
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Title:
Chapter 7: Forest Products- Geospatial_Data_Presentation_Form: document
- Other_Citation_Details:
- 7-1 - 7-26
- Online_Linkage: https://doi.org/10.2737/WO-GTR-102-Chap7
- Larger_Work_Citation:
- Citation_Information:
- Originator: U.S. Department of Agriculture, Forest Service
- Publication_Date: 2023
- Title:
Future of America’s Forest and Rangelands: Forest Service 2020 Resources Planning Act Assessment- Geospatial_Data_Presentation_Form: document
- Series_Information:
- Series_Name: General Technical Report
- Issue_Identification: WO-102
- Publication_Information:
- Publication_Place: Washington, DC
- Other_Citation_Details:
- 348 p.
- Online_Linkage: https://doi.org/10.2737/WO-GTR-102
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Data_Quality_Information:
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Attribute_Accuracy:
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Attribute_Accuracy_Report:
- Historical data from 1990 to 2015 were extracted from the FAOSTAT database (FAOSTAT 2021) Global Forest Resources Assessment 2015 (Food and Agricultural Organization of the United Nations 2015) in 2020. Updates or error corrections conducted by FAOSTAT may have occurred since then, leading to very few instances where inconsistencies may arise between the historical data reported in this work and that shown in the current FAOSTAT database. (Accuracy of data varies, as provided by the source.) Projections from 2020 to 2070 were conducted using the FOROM model (Johnston et al. 2021).
FAOSTAT. 2021. Forestry production and trade [Database]. Food and Agriculture Organization of the United Nations. http://www.fao.org/faostat/en/#data/FO. (Accessed 13 July 2021).
Food and Agricultural Organization of the United Nations. 2015. The Global Forest Resources Assessment 2015. Food And Agriculture Organization of the United Nations, Rome. http://www.fao.org/forest-resources-assessment/past-assessments/fra-2015/en/ (Accessed 13 July 2021).
Johnston, Craig M.T.; Guo, Jinggang; Prestemon, Jeffrey P. 2021. The FOrest Resource Outlook Model (FOROM): a technical document supporting the Forest Service 2020 RPA Assessment. Gen. Tech. Rep. SRS-254. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 19 p. https://doi.org/10.2737/SRS-GTR-254
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Logical_Consistency_Report:
- The data are logically consistent. The consistency was verified as part of the quality assurance that occurred during data analysis.
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Completeness_Report:
- Missing data are denoted as blank cells. All values of zero are in fact a report zero.
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Lineage:
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Methodology:
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Methodology_Type: Laboratory
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Methodolgy_Identifier:
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Methodolgy_Keyword_Thesaurus:
- None
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Methodology_Keyword: partial equilibrium
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Methodology_Keyword: global forest product market
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Methodology_Keyword: production
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Methodology_Keyword: prices
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Methodology_Keyword: trade
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Methodology_Keyword: socioeconomic trends
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Methodology_Keyword: climate change
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Methodology_Description:
- HISTORICAL DATA (1990-2015)
Historical data from 1990 to 2015 were extracted from the FAOSTAT database (FAOSTAT 2021) in 2021. Data included production, consumption, timber price, timber harvest levels, imports, and exports from FAOSTAT (2021) and on forest area and forest standing stock from the Food and Agricultural Organization of the United Nations (2015).
2020 RPA ASSESSMENT SCENARIOS
The RPA Assessment uses a set of scenarios of coordinated future climate, population, and socioeconomic change to project resource availability and condition over the next fifty years. These scenarios provide a framework for objectively evaluating a plausible range of future resource outcomes. The 2020 RPA Assessment draws from the global scenarios developed by the Intergovernmental Panel on Climate Change (IPCC) to examine the 2020 to 2070 time period (IPCC 2014). These RPA scenarios pair two alternative climate futures (Representative Concentration Pathways or RCPs) with four alternative futures (Shared Socioeconomic Pathways or SSPs) in the following combinations of U.S. socioeconomic growth: RCP 4.5 and SSP1 (lower warming-moderate, LM), RCP 8.5 and SSP3 (high warming-low, HL), RCP 8.5 and SSP2 (high warming-moderate, HM), and RCP 8.5 and SSP5 (high warming-high, HH).
PROJECTED DATA (2020-2070)
The FOrest Resource Outlook Model (FOROM) is a partial equilibrium model of the world’s forest sector that includes forest resources, timber supply, demand for intermediate and final products, and international trade. The model is calibrated primarily to the FAOSTAT (FAO Stat 2021) 2015 base year information, supplemented with information from the USDA Forest Service’s Timber Product Output (TPO) program and the United States International Trade Commission (USITC). The main function of this model is to analyze whether, and to what extent, production, consumption, trade, and prices of raw material, intermediates, and final products, as well as forest land area and forest standing stock, might change in response to external shocks such as economic growth, climate change, trade liberalization, or forest management.
FOROM incorporates various assumptions to help shape future conditions. The main drivers of the evolution of the global forest sector include exogenous trends in gross domestic product (GDP) and population. Market demand is assumed to change over time through exogenous shifts in GDP per capita, while changes in per capita GDP will affect the marginal cost of production arising through changes in forest area and standing inventory.
As GDP and population are key to the evolution of market projections in FOROM, they received special attention in the 2020 RPA Assessment. First, Wear and Prestemon (2019; https://doi.org/10.1371/journal.pone.0219242) developed a method to jointly downscale national-scale income and population projections to counties nationwide. This method was designed through statistical estimation of the relationships between historical personal income per capita at the county scale and population at the county scale. Downscaling was done such that the sum of income and the sum of population across counties matched the national level income and population projections, respectively, for each of the five Shared Socioeconomic Pathways; archived datasets are available from Wear and Prestemon (2019; https://doi.org/10.2737/RDS-2019-0041). Next, to generate projections of gross domestic product and population at the RPA region level, a simple aggregation was done by summing projected personal income and projected population across all counties assigned to each RPA region.
To evaluate the forest sector impacts of climate change, exogenously projected changes in net primary productivity (NPP) were used in the FOROM to adjust the endogenous supply costs of each country/region outside the United States. Changes in NPP were simulated to 2070 at 0.5 degree resolution globally by the dynamic global vegetation model MC2 (Kim et al. 2017), based on climate change (precipitation and temperature) and CO2 (atmospheric forcing) change inputs. Climate and CO2 change inputs to MC2 in Kim et al. (2017) were obtained from the MIT Integrated Global System Model-Community Atmosphere Model (IGSM-CAM) for RCP 4.5 (corresponding to the LM scenario) and RCP 8.5 (HL, HM, and HH RPA scenarios). MC2 projections under RCP 8.5 were averaged across all seven ensemble members (seven scenarios) reported by Kim et al. (2017), while RCP 4.5 was projected with a single scenario from that study. NPP projections made by MC2 were aggregated to 16 global land units (countries or regions), and their average annual trends were converted to changes in forest productivity above base rates of growth for each country assigned to one of the global land units.
FOROM explicitly recognizes the United States as six distinct RPA regions, separating the RPA North and South regions into their component subregions for added specificity. The regional detail allows the model to directly account for changes in forest conditions and land uses and associated differences in regional production and demand conditions, including those emerging from independent projections of GDP and population from Wear and Prestemon (2019; https://doi.org/10.1371/journal.pone.0219242). For more detailed information on FOROM, please refer to Johnston et al. (2021).
For complete methodology see Johnston et al. (2023).
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Methodology_Citation:
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Citation_Information:
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Originator: Intergovernmental Panel on Climate Change [IPCC]
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Publication_Date: 2014
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Title:
Climate change 2014: Synthesis report- Geospatial_Data_Presentation_Form: document
- Series_Information:
- Series_Name: Synthesis report
- Issue_Identification: Fifth Assessment Report: Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
- Publication_Information:
- Publication_Place: Geneva, Switzerland
- Publisher: Intergovernmental Panel on Climate Change
- Other_Citation_Details:
- 151 p.[Accessed 16 December 2019]
- Online_Linkage: https://ar5-syr.ipcc.ch
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Methodology_Citation:
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Citation_Information:
-
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Originator: Johnston, Craig M.T.
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Originator: Guo, Jinggang
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Originator: Prestemon, Jeffrey P.
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Publication_Date: 2021
-
Title:
The FOrest Resource Outlook Model (FOROM): a technical document supporting the Forest Service 2020 RPA Assessment- Geospatial_Data_Presentation_Form: document
- Series_Information:
- Series_Name: General Technical Report
- Issue_Identification: SRS-254
- Publication_Information:
- Publication_Place: Asheville, NC
- Publisher: U.S. Department of Agriculture Forest Service, Southern Research Station
- Other_Citation_Details:
- 19 p.
- Online_Linkage: https://doi.org/10.2737/SRS-GTR-254
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Methodology_Citation:
-
Citation_Information:
-
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Originator: Kim, John B.
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Originator: Monier, Erwan
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Originator: Sohngen, Brent
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Originator: Pitts, Stephen G.
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Originator: Drapek, Ray
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Originator: McFarland, James
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Originator: Ohrel, Sara
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Originator: Cole, Jefferson
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Publication_Date: 2017
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Title:
Assessing climate change impacts, benefits of mitigation, and uncertainties on major global forest regions under multiple socioeconomic and emissions scenarios- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: Environmental Research Letters
- Issue_Identification: 12(4): 045001
- Online_Linkage: https://doi.org/10.1088/1748-9326/aa63fc
- Online_Linkage: https://www.fs.usda.gov/research/treesearch/54529
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Methodology_Citation:
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Citation_Information:
-
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Originator: Wear, David N.
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Originator: Prestemon, Jeffrey P.
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Publication_Date: 2019
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Title:
Spatiotemporal downscaling of global population and income scenarios for the United States- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: PLOS ONE
- Issue_Identification: 14(7): e0219242
- Online_Linkage: https://doi.org/10.1371/journal.pone.0219242
- Online_Linkage: https://www.fs.usda.gov/research/treesearch/58355
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Methodology_Citation:
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Citation_Information:
-
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Originator: Wear, David N.
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Originator: Prestemon, Jeffrey P.
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Publication_Date: 2019
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Title:
Socioeconomic data for Forest Service 2020 RPA Assessment- Geospatial_Data_Presentation_Form: spreadsheet
- Publication_Information:
- Publication_Place: Fort Collins, CO
- Publisher: Forest Service Research Data Archive
- Online_Linkage: https://doi.org/10.2737/RDS-2019-0041
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Methodology_Citation:
-
Citation_Information:
-
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Originator: Johnston, Craig M.T.
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Originator: Guo, Jinggang
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Originator: Prestemon, Jeffrey P.
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Publication_Date: 2023
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Title:
Chapter 7: Forest Products- Geospatial_Data_Presentation_Form: document
- Other_Citation_Details:
- 7-1 - 7-26
- Online_Linkage: https://doi.org/10.2737/WO-GTR-102-Chap7
- Larger_Work_Citation:
- Citation_Information:
- Originator: U.S. Department of Agriculture, Forest Service
- Publication_Date: 2023
- Title:
Future of America’s Forest and Rangelands: Forest Service 2020 Resources Planning Act Assessment- Geospatial_Data_Presentation_Form: document
- Series_Information:
- Series_Name: General Technical Report
- Issue_Identification: WO-102
- Publication_Information:
- Publication_Place: Washington, DC
- Other_Citation_Details:
- 348 p.
- Online_Linkage: https://doi.org/10.2737/WO-GTR-102
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Source_Information:
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Source_Citation:
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Citation_Information:
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Originator: FAO Stat
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Publication_Date: 2021
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Title:
Forestry production and trade- Geospatial_Data_Presentation_Form: online database
- Publication_Information:
- Publisher: Food and Agriculture Organization of the United Nations
- Other_Citation_Details:
- (Accessed 13 July 2021)
- Online_Linkage: http://www.fao.org/faostat/en/#data/FO
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Type_of_Source_Media: Online
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Source_Time_Period_of_Content:
-
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Time_Period_Information:
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Range_of_Dates/Times:
-
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Beginning_Date: 1990
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Ending_Date: 2015
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Source_Currentness_Reference:
- Publication Date
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Source_Citation_Abbreviation:
- FAOSTAT; FAO Stat (2021)
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Source_Contribution:
- Historical data from 1990 to 2015 were extracted from the FAOSTAT database. Data included production, consumption, timber price, timber harvest levels, imports and exports for 58 geographic regions.
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Source_Information:
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Source_Citation:
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Citation_Information:
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Originator: FAO FRA
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Publication_Date: 2016
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Title:
Global Forest Resources Assessment 2015- Geospatial_Data_Presentation_Form: online database
- Publication_Information:
- Publisher: Food and Agriculture Organization of the United Nations
- Other_Citation_Details:
- (Accessed 1 August 2020)
- Online_Linkage: https://www.fao.org/forest-resources-assessment/past-assessments/fra-2015/en/
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Type_of_Source_Media: Online
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Source_Time_Period_of_Content:
-
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Time_Period_Information:
-
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Range_of_Dates/Times:
-
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Beginning_Date: 1990
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Ending_Date: 2015
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Source_Currentness_Reference:
- Publication Date
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Source_Citation_Abbreviation:
- FAO FRA (2015)
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Source_Contribution:
- Historical data from 1990 to 2015 were extracted from the FRA 2015 database. Data included forest area and forest standing stock for 58 geographic regions.
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Process_Step:
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Process_Description:
- see methodology section
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Entity_and_Attribute_Information:
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Overview_Description:
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Entity_and_Attribute_Overview:
- Below you will find a list and description of the files included in this data publication.
VARIABLE DESCRIPTION FILE
\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 below.)
Columns include:
Filename = name of data file
Variable = name of variable
Description = description of variable
DATA FILES
Data are provided as a single Microsoft Excel Open XML spreadsheet file (\Data\Ch7.xlsx) with 4 worksheets (one for each scenario) and as four individual CSV files (\Data\Ch7_*.csv) (one for each scenario). These four future scenarios of U.S. socioeconomic growth include: LM (lower warming-moderate), HM (high warming-moderate), HL (high warming-low), and HH (high warming-high). Data are provided for 58 geographic regions, for each of nine variables (production, consumption, timber price, timber harvest levels, imports, exports, net trade level which is exports minus imports, forest area, and forest standing stock) as well as several sub-variables.
The four worksheets/CSV files contain:
LM: Historical data yearly from 1990 through 2015, and projected data every five years from 2020 through 2070 from the low warming-moderate (LM) scenario.
HM: Historical data yearly from 1990 through 2015, and projected data every five years from 2020 through 2070 from the high warming-moderate (HM) scenario.
HL: Historical data yearly from 1990 through 2015, and projected data every five years from 2020 through 2070 from the high warming-low (HL) scenario.
HH: Historical data yearly from 1990 through 2015, and projected data every five years from 2020 through 2070 from the high warming-high (HH) scenario.
All files contain the following variables:
Measurement = Type of measurement
Production level
Consumption level
Price level
Timber harvest level
Import level
Export level
Net trade level (exports minus imports)
Forest area
Forest standing stock
Product = Type of product
coniferous fuelwood
non-coniferous fuelwood
other coniferous roundwood
other non-coniferous roundwood
coniferous industrial roundwood
non-coniferous industrial roundwood
coniferous sawnwood
non-coniferous sawnwood
plywood
particle board
fibreboard
mechanical wood pulp
chemical wood pulp
other fibre pulp
waste pulp
newsprint
printing and writing paper
other paper and paperboard
chips and particles
pellets
coniferous timber
non-coniferous timber
total timber
area
total stock
total coniferous
total non-coniferous
Units = Measurement units
1000CM = 1,000 cubic meters
1000MT = 1,000 metric tons
2015DOLperCM = 2015 US dollars/cubic meter
2015DOLperMT = 2015 US dollars/metric ton
1000HA = 1,000 hectares
MillionCM = 1,000,000 cubic meters
Location = Name of location which includes 58 different geographic regions as well as the Rest of the World (ROW) and the World (WORLD)
YYYY = Data for the specified year (YYYY = 1990-2015 for historical annual data; YYYY = 2020-2070 for data projected every five years)
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Entity_and_Attribute_Detail_Citation:
- Johnston, Craig M.T.; Guo, Jinggang; Prestemon, Jeffrey P. 2023. Forest Products. In: U.S. Department of Agriculture, Forest Service. 2023. Future of America s Forest and Rangelands: Forest Service 2020 Resources Planning Act Assessment. Gen. Tech. Rep. WO-102. Washington, DC: 7-1 - 7-26. Chapter 7. https://doi.org/10.2737/WO-GTR-102-Chap7
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Distribution_Information:
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Distributor:
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Contact_Information:
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Contact_Organization_Primary:
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Contact_Organization: USDA Forest Service, Research and Development
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Contact_Position: Research Data Archivist
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Contact_Address:
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Address_Type: mailing and physical
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Address: 240 West Prospect Road
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City: Fort Collins
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State_or_Province: CO
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Postal_Code: 80526
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Country: USA
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Contact_Voice_Telephone: see Contact Instructions
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Contact Instructions: This contact information was current as of September 2023. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
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Resource_Description: RDS-2022-0073
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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.
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Standard_Order_Process:
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Digital_Form:
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Digital_Transfer_Information:
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Format_Name: XLSX
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Format_Version_Number: see Format Specification
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Format_Specification:
- Microsoft Excel Open XML spreadsheet file
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Digital_Transfer_Option:
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Online_Option:
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Computer_Contact_Information:
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Network_Address:
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Network_Resource_Name:
https://doi.org/10.2737/RDS-2022-0073
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Digital_Form:
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Digital_Transfer_Information:
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Format_Name: CSV
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Format_Version_Number: see Format Specification
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Format_Specification:
- Comma-separated values file
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Digital_Transfer_Option:
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Online_Option:
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Computer_Contact_Information:
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Network_Address:
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Network_Resource_Name:
https://doi.org/10.2737/RDS-2022-0073
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Fees: None
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Metadata_Reference_Information:
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Metadata_Date: 20230912
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Metadata_Contact:
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Contact_Information:
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Contact_Organization_Primary:
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Contact_Organization: USDA Forest Service, Southern Research Station
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Contact_Person: Jeffrey P. Prestemon
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Contact_Position: Senior Research Forester and Project Leader
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Contact_Address:
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Address_Type: mailing
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Address: Forestry Sciences Laboratory, P.O. Box 12254
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City: Research Triangle Park
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State_or_Province: NC
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Postal_Code: 27709
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Country: USA
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Contact_Voice_Telephone: 919-549-4033
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Contact_Electronic_Mail_Address:
jeffrey.prestemon@usda.gov
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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.
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Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
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Metadata_Standard_Version: FGDC-STD-001.1-1999
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