PAVC: The foundation for a Pan-Arctic Vegetation Cover database

Field-measured Arctic vegetation cover data is essential for creating accurate, high-quality vegetation structure and composition maps. Extrapolating field data into high-resolution cover maps provides detailed, function-specific information for use in Earth System Models, vegetation classifications, and monitoring vegetation change over time and space. However, field campaigns that collect plant cover vary substantially in scope, method, and purpose, which makes them difficult to unify across data stores, and they are often not designed to meet remote sensing needs. In this work, we synthesized and harmonized field-based fractional cover data from various data stores to create a high-quality, consistent repository schema for remote sensing-based vegetation cover mapping applications. We developed a reproducible workflow for synthesizing visual estimate and point-intercept fractional cover data. The resultant Pan-Arctic Vegetation Cover (PAVC) database contains synthesized fractional cover at both the species and plant functional type levels. The latter includes absolute foliar cover for deciduous shrubs and trees, evergreen shrubs and trees, forbs, graminoids, lichen, bryophytes, and "other" vegetation, as well as absolute cover for litter and top cover for water and bare ground.

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Publication Details

Journal
Scientific Data
Published
2025-07-21
DOI
https://doi.org/10.1038/s41597-025-05326-9
Citations
1
Primary Topic
Climate change and permafrost
Type
article
Field-Weighted Citation Impact
1.30

Funders

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article

PAVC: The foundation for a Pan-Arctic Vegetation Cover database

William W. Hargrove, Tianqi Zhang, Verity Salmon, Gerald V. Frost et al.
1 citations
Scientific Data
Climate change and permafrost
1.30
article

PAVC: The foundation for a Pan-Arctic Vegetation Cover database

William W. Hargrove, Tianqi Zhang, Verity Salmon, Gerald V. Frost, Jitendra Kumar, David T. Barnett, Amy Breen, Colleen M. Iversen, Forrest M. Hoffman, Stan D. Wullschleger, Timm W. Nawrocki, Amanda Droghini, Matthew J. Macander, Donald A. Walker, Morgan R Steckler
article en
1 citations

Abstract

Field-measured Arctic vegetation cover data is essential for creating accurate, high-quality vegetation structure and composition maps. Extrapolating field data into high-resolution cover maps provides detailed, function-specific information for use in Earth System Models, vegetation classifications, and monitoring vegetation change over time and space. However, field campaigns that collect plant cover vary substantially in scope, method, and purpose, which makes them difficult to unify across data stores, and they are often not designed to meet remote sensing needs. In this work, we synthesized and harmonized field-based fractional cover data from various data stores to create a high-quality, consistent repository schema for remote sensing-based vegetation cover mapping applications. We developed a reproducible workflow for synthesizing visual estimate and point-intercept fractional cover data. The resultant Pan-Arctic Vegetation Cover (PAVC) database contains synthesized fractional cover at both the species and plant functional type levels. The latter includes absolute foliar cover for deciduous shrubs and trees, evergreen shrubs and trees, forbs, graminoids, lichen, bryophytes, and "other" vegetation, as well as absolute cover for litter and top cover for water and bare ground.

Scientific DataVol. 12(1)
Oak Ridge National Laboratory (US), University of Alaska Fairbanks (US), University of Alaska Anchorage (US), National Ecological Observatory Network (US), Southern Research Station (US), Alaska Biological Research (United States) (US)
National Science Foundation, U.S. Department of Energy, Battelle, UT-Battelle, Office of Science, U.S. Army, Biological and Environmental Research, U.S. Army Corps of Engineers, Engineer Research and Development Center
Life in Land
Openalex Percentile: Top 20%
Climate change and permafrost
1.30
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