The Pan-Arctic Vegetation Cover (PAVC) database v1.1

Steckler, Morgan; Kumar, Jitendra; Breen, Amy; Zhang, Tianqi; Hoffman, Forrest; Hargrove, William; Walker, Donald; Wells, Aaron; Droghini, Amanda; Nawrocki, Timm; Wullschleger, Stan; Macander, Matthew; Frost, Gerald; Salmon, Verity; Iversen, Colleen

doi:10.15485/2483557

Title: The Pan-Arctic Vegetation Cover (PAVC) database v1.1

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Abstract

The Pan-Arctic Vegetation Cover (PAVC) database contains synthesized field-data observations of vegetation cover from 978 Arctic Alaska plots with observations from 2010 to 2021. The cover datasets contain plot data at both the plant functional type (PFT) and species-level resolution, with standardized PFT definitions and species names. We synthesized publicly available point-intercept and visual estimate plots from the Arctic Vegetation Archive of Alaska, the Alaska Vegetation Plots Database, the North Slope Science Catalog, and the National Ecological Observatory Network; as well as previously unpublished data from the Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic).Users will find four synthesized datasets, 4 associated data descriptor (dd) files, and 1 metadata file in the PAVC database:synthesized_species_fcover.csv contains fractional cover (fcover) for unique accepted species names, where names include vegetation identified at the family, genus, species, subspecies, and variety levels, as well as general functional types across all 5 data sources. The synthesized_species_fcover_dd.csv accompanies this dataset with header information.synthesized_pft_fcover.csv contains fcover for the following PFTs: non-vascular plants with lichen and bryophyte subcategories, trees with deciduous and evergreen subcategories, shrubs with deciduous and evergreen subcategories, graminoids (grasses), and forbs (herbaceous flowering plants) measured as total cover. Litter and “other” cover are also included as total cover.more »« less

Authors:

;

; Walker, Donald;

;

; Macander, Matthew;

;

Oak Ridge National Laboratory
University of Alaska Fairbanks
USDA Forest Service - SRS
AECOM Technical Services
University of Alaska Anchorage
Alaska Biological Research, Inc.

Publication Date:: Wed Jan 01 04:00:00 UTC 2025

Other Number(s):: NGA546

DOE Contract Number:: AC02-05CH11231

Research Org.:: Next-Generation Ecosystem Experiments (NGEE) Arctic

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; DATA FORMAT > CSV; EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS; EARTH SCIENCE > BIOSPHERE > VEGETATION; EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; LOCATIONS > CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALASKA; LOCATIONS > GEOGRAPHIC REGIONS > ARCTIC; PROJECTS > NGEE ARCTIC

OSTI Identifier:: 2483557

DOI:: https://doi.org/10.15485/2483557

Citation Formats


                    Steckler, Morgan, Kumar, Jitendra, Breen, Amy, Zhang, Tianqi, Hoffman, Forrest, Hargrove, William, Walker, Donald, Wells, Aaron, Droghini, Amanda, Nawrocki, Timm, Wullschleger, Stan, Macander, Matthew, Frost, Gerald, Salmon, Verity, and Iversen, Colleen. The Pan-Arctic Vegetation Cover (PAVC) database v1.1.  United States: N. p., 2025. 
        Web.  doi:10.15485/2483557.

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                    Steckler, Morgan, Kumar, Jitendra, Breen, Amy, Zhang, Tianqi, Hoffman, Forrest, Hargrove, William, Walker, Donald, Wells, Aaron, Droghini, Amanda, Nawrocki, Timm, Wullschleger, Stan, Macander, Matthew, Frost, Gerald, Salmon, Verity, & Iversen, Colleen. The Pan-Arctic Vegetation Cover (PAVC) database v1.1.  United States.  doi:https://doi.org/10.15485/2483557

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                    Steckler, Morgan, Kumar, Jitendra, Breen, Amy, Zhang, Tianqi, Hoffman, Forrest, Hargrove, William, Walker, Donald, Wells, Aaron, Droghini, Amanda, Nawrocki, Timm, Wullschleger, Stan, Macander, Matthew, Frost, Gerald, Salmon, Verity, and Iversen, Colleen. 2025.  
"The Pan-Arctic Vegetation Cover (PAVC) database v1.1".  United States.  doi:https://doi.org/10.15485/2483557.  https://www.osti.gov/servlets/purl/2483557. Pub date:Wed Jan 01 04:00:00 UTC 2025

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@article{osti_2483557,

  title        = {The Pan-Arctic Vegetation Cover (PAVC) database v1.1},

  author       = {Steckler, Morgan and Kumar, Jitendra and Breen, Amy and Zhang, Tianqi and Hoffman, Forrest and Hargrove, William and Walker, Donald and Wells, Aaron and Droghini, Amanda and Nawrocki, Timm and Wullschleger, Stan and Macander, Matthew and Frost, Gerald and Salmon, Verity and Iversen, Colleen},

  abstractNote = {The Pan-Arctic Vegetation Cover (PAVC) database contains synthesized field-data observations of vegetation cover from 978 Arctic Alaska plots with observations from 2010 to 2021. The cover datasets contain plot data at both the plant functional type (PFT) and species-level resolution, with standardized PFT definitions and species names. We synthesized publicly available point-intercept and visual estimate plots from the Arctic Vegetation Archive of Alaska, the Alaska Vegetation Plots Database, the North Slope Science Catalog, and the National Ecological Observatory Network; as well as previously unpublished data from the Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic).Users will find four synthesized datasets, 4 associated data descriptor (dd) files, and 1 metadata file in the PAVC database:synthesized_species_fcover.csv contains fractional cover (fcover) for unique accepted species names, where names include vegetation identified at the family, genus, species, subspecies, and variety levels, as well as general functional types across all 5 data sources. The synthesized_species_fcover_dd.csv accompanies this dataset with header information.synthesized_pft_fcover.csv contains fcover for the following PFTs: non-vascular plants with lichen and bryophyte subcategories, trees with deciduous and evergreen subcategories, shrubs with deciduous and evergreen subcategories, graminoids (grasses), and forbs (herbaceous flowering plants) measured as total cover. Litter and “other” cover are also included as total cover. Additional “types” include water and bare ground, which were measured as top cover. The synthesized_pft_fcover_dd.csv accompanies this dataset with header information.species_pft_checklist.csv is a lookup table containing the translation from a dataset species name to an accepted species name and to a PFT. This table can be used to clarify our species to PFT adjudications, and to aid users in assigning their own PFTs. Any issues found in this checklist should be reported in the Issues tab of our github.survey_unit_information.csv contains auxiliary information about the plots synthesized in this database. It contains useful information for filtering plots of interest based on temporal, geospatial, and contextual information about the plot surveys.flmd.csv contains metadata information about each file in the database.This research was performed as a part of the NGEE Arctic project. The NGEE Arctic project was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},

  doi          = {10.15485/2483557},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Jan 01 04:00:00 UTC 2025},

  month        = {Wed Jan 01 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.15485/2483557

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