Due to a gap in information on regeneration of hard-mast trees in the floodplain, interpretation was completed of existing 8“/pixel aerial imagery delineating a detailed hardwood forest spatial dataset within the floodplain forest of the Fish and Wildlife Upper Mississippi National Wildlife & Fish Refuge, McGregor District. The detailed map of bottomland hardwoods will allow for the identification of existing habitat and assess bottomland hardwood tree patterns to enable management of these areas.

This dataset contains data collected in the field for the field component of the 2018-20 UMRR Science in support of Restoration Forest Canopy Gap Dynamics study titled "Forest canopy gap dynamics: quantifying forest gaps and understanding gap – level forest regeneration in Upper Mississippi River floodplain forests."

This dataset contains data collected in the field for the field component of the 2018-20 UMRR Science in support of Restoration Forest Canopy Gap Dynamics study titled "Forest canopy gap dynamics: quantifying forest gaps and understanding gap – level forest regeneration in Upper Mississippi River floodplain forests."

These data are a component of a floodplain forest canopy gap dynamics study initiated in 2019 and funded through the US Army Corps of Engineers Upper Mississippi River Restoration, Science Supporting Restoration program. The study included two components: a geospatial component to utilize lidar to identify and map canopy gaps across multiple navigation pools (8, 9, 13, 21, 24, 26 (through Maple Island just south of Lock and Dam 26), and the lower 32 miles of the Illinois River from its confluence with the Mississippi River to Kampsville, IL) within the Upper Mississippi River floodplain and a field component to characterize vegetation in a small subset of the remotely sensed gaps. This layer provides field-collected centroids for the subset of gaps that were selected for field surveys in 2020. Gaps were selected based on a randomly stratified sample of the LiDAR derived gaps, with stratification occurring based on gap size (small (0.0406-0.1012 ha), medium (0.1013-0.3035 ha), large (0.3036-0.8093 ha)) and annual days of flooding within the gap (low (0.1-20 days), moderate (20.1 - 40 days), high (40.1 - 100 days)). The objective of the field study was to determine whether gaps over varying sizes and flood regimes showed variation in vegetation dynamics within the gaps. The geospatial data and scripts used for initial gap identification are available at: https://doi.org/10.5066/P9BLTSTZ. Floodplain inundation rasters that were used to derive the annual inundation rates are available at: https://doi.org/10.5066/F7VD6XRT.

These data are a component of a floodplain forest canopy gap dynamics study initiated in 2019 and funded through the US Army Corps of Engineers Upper Mississippi River Restoration, Science Supporting Restoration program. The study included two components: a geospatial component to utilize lidar to identify and map canopy gaps across multiple navigation pools (8, 9, 13, 21, 24, 26 (through Maple Island just south of Lock and Dam 26), and the lower 32 miles of the Illinois River from its confluence with the Mississippi River to Kampsville, IL) within the Upper Mississippi River floodplain and a field component to characterize vegetation in a small subset of the remotely sensed gaps. This layer provides field-collected centroids for the subset of gaps that were selected for field surveys in 2020. Gaps were selected based on a randomly stratified sample of the LiDAR derived gaps, with stratification occurring based on gap size (small (0.0406-0.1012 ha), medium (0.1013-0.3035 ha), large (0.3036-0.8093 ha)) and annual days of flooding within the gap (low (0.1-20 days), moderate (20.1 - 40 days), high (40.1 - 100 days)). The objective of the field study was to determine whether gaps over varying sizes and flood regimes showed variation in vegetation dynamics within the gaps. The geospatial data and scripts used for initial gap identification are available at: https://doi.org/10.5066/P9BLTSTZ. Floodplain inundation rasters that were used to derive the annual inundation rates are available at: https://doi.org/10.5066/F7VD6XRT.

These data are a component of a floodplain forest canopy gap dynamics study initiated in 2019 and funded through the US Army Corps of Engineers Upper Mississippi River Restoration, Science Supporting Restoration program. The study included two components: a geospatial component to utilize lidar to identify and map canopy gaps across multiple navigation pools (8, 9, 13, 21, 24, 26 (through Maple Island just south of Lock and Dam 26), and the lower 32 miles of the Illinois River from its confluence with the Mississippi River to Kampsville, IL) within the Upper Mississippi River floodplain and a field component to characterize vegetation in a small subset of the remotely sensed gaps. This layer provides lidar derived polygons the subset of gaps that were selected for field surveys in 2020. Gaps were selected based on a randomly stratified sample of the lidar derived gaps, with stratification occurring based on gap size (small (0.0406-0.1012 ha), medium (0.1013-0.3035 ha), large (0.3036-0.8093 ha)) and annual days of flooding within the gap (low (0.1-20 days), moderate (20.1 - 40 days), high (40.1 - 100 days)). The objective of the field study was to determine whether gaps over varying sizes and flood regimes showed variation in vegetation dynamics within the gaps. The geospatial data and scripts used for initial gap identification are available at: https://doi.org/10.5066/P9BLTSTZ. Floodplain inundation rasters that were used to derive the annual inundation rates are available at: https://doi.org/10.5066/F7VD6XRT.

These data are a component of a floodplain forest canopy gap dynamics study initiated in 2019 and funded through the US Army Corps of Engineers Upper Mississippi River Restoration, Science Supporting Restoration program. The study included two components: a geospatial component to utilize lidar to identify and map canopy gaps across multiple navigation pools (8, 9, 13, 21, 24, 26 (through Maple Island just south of Lock and Dam 26), and the lower 32 miles of the Illinois River from its confluence with the Mississippi River to Kampsville, IL) within the Upper Mississippi River floodplain and a field component to characterize vegetation in a small subset of the remotely sensed gaps. This layer provides lidar derived polygons the subset of gaps that were selected for field surveys in 2020. Gaps were selected based on a randomly stratified sample of the lidar derived gaps, with stratification occurring based on gap size (small (0.0406-0.1012 ha), medium (0.1013-0.3035 ha), large (0.3036-0.8093 ha)) and annual days of flooding within the gap (low (0.1-20 days), moderate (20.1 - 40 days), high (40.1 - 100 days)). The objective of the field study was to determine whether gaps over varying sizes and flood regimes showed variation in vegetation dynamics within the gaps. The geospatial data and scripts used for initial gap identification are available at: https://doi.org/10.5066/P9BLTSTZ. Floodplain inundation rasters that were used to derive the annual inundation rates are available at: https://doi.org/10.5066/F7VD6XRT.

This dataset contains data collected in the field for the field component of the 2018-20 UMRR Science in support of Restoration Forest Canopy Gap Dynamics study titled "Forest canopy gap dynamics: quantifying forest gaps and understanding gap – level forest regeneration in Upper Mississippi River floodplain forests."

Floodplain forest species are presumed to interact strongly with the environment, as evidenced by pronounced spatial variation in flood-driven abiotic constraints and forest composition. These data describe functional diversity and environmental characteristics for 156 forest assemblages sampled on floodplain landforms within transects from the lower peninsula of Michigan. The functional diversity of each assemblage is characterized by two metrics of functional richness (Convex Hull Volume/CHV and Trait Onion Peeling/TOP), one metric of functional dispersion (FDis), and community weighted mean functional trait values. Functional diversity metrics were calculated from 12 quantitative and qualitative functional traits extracted from public datasets following published methods. Environmental attributes are characterized for each assemblage for multiple spatial scales (e.g., transect level, landform level, and within-landform level) and include transect type, measures and classes of landform relative elevation and distance to channel, and characterizations of microtopography. The data are intended for use in analyses of relationships between floodplain forest functional diversity and environment.

Floodplain forest species are presumed to interact strongly with the environment, as evidenced by pronounced spatial variation in flood-driven abiotic constraints and forest composition. These data describe functional diversity and environmental characteristics for 156 forest assemblages sampled on floodplain landforms within transects from the lower peninsula of Michigan. The functional diversity of each assemblage is characterized by two metrics of functional richness (Convex Hull Volume/CHV and Trait Onion Peeling/TOP), one metric of functional dispersion (FDis), and community weighted mean functional trait values. Functional diversity metrics were calculated from 12 quantitative and qualitative functional traits extracted from public datasets following published methods. Environmental attributes are characterized for each assemblage for multiple spatial scales (e.g., transect level, landform level, and within-landform level) and include transect type, measures and classes of landform relative elevation and distance to channel, and characterizations of microtopography. The data are intended for use in analyses of relationships between floodplain forest functional diversity and environment.