Research, conservation, and effective natural resource management often depend on maps that characterize patterns of vegetation composition. Quantitative and ecologically specific representations of plant proportional abundance have several advantages: they are theoretically consistent with plant community ecology, avoid arbitrary and subjective thresholds or categorizations, and minimize information loss relative to field observations and covariates. They also avoid a human interpretational bias not necessarily shared by or important to plants or wildlife. We developed quantitative continuous foliar cover maps for 15 plant species or ecologically narrow aggregates in Arctic and boreal Alaska and adjacent Yukon (North American Beringia). We integrated new and existing ground and aerial vegetation observations for Arctic and boreal Alaska from three vegetation plots databases. To map patterns of foliar cover, we statistically associated observations of vegetation foliar cover with environmental, multi-season spectral, and surface texture covariates using hierarchical statistical learning models. To provide context to the performance of our continuous foliar cover maps, we compared our results to the performances of three categorical vegetation maps that cover Arctic and boreal Alaska: the National Land Cover Database and the coarse and fine classes of the Alaska Vegetation and Wetland Composite. Our maps predicted 40% to 62% of the observed variation in foliar cover per species or aggregate at the site scale. A multi-scale accuracy assessment showed that the maps generally captured patterns of plant abundance accurately at landscape and regional scales. All continuous foliar cover maps performed substantially better than the existing categorical vegetation maps. The vegetation database and scripted workflow that we developed to create the continuous foliar cover maps will allow consistent future updates to include new observations of plant abundance patterns and new or updated covariates. Our scripted workflow also allows the application of our methods to areas beyond North American Beringia. The continuous foliar cover maps that we developed improve representation of vegetation composition patterns relevant to plant communities and wildlife habitats in North American Beringia.

About the Data

Geospatial data are provided as TIF single band rasters with a 10 x 10 m resolution along with an optional lyrx file for visualization of the data in ArcGIS Pro. In addition to the raster data, we also provide the trained statistical models, supplementary plots, and predicted input data.

Acknowledgements

Bureau of Land Management and National Park Service provided funding for the Alaska Vegetation Plots Database (AKVEG). Alaska Department of Fish and Game and Bureau of Land Management provided funding to develop continuous foliar cover maps of plant species and aggregates. We thank Kassidy Colson, Dr. Jeffrey Stetz, Parker Martyn, Scott Guyer, and Aliza Segal for their support of this work. Numerous vegetation ecologists, botanists, and soil scientists collected the ground and aerial observations of vegetation patterns that provided the training and testing data for these maps. Although too numerous to list by name, this work is only possible through their collective efforts across two decades. Dr. Aaron Wells provided Ecological Land Survey and other data collected during the past 20 years by ABR, Inc.—Environmental Research & Services. Carl Roland and Dr. David Swanson provided National Park Service Central Alaska Network and Arctic Network Inventory and Monitoring data for use in the maps of Picea glauca - × lutzii and Picea mariana.