Field data for the Vegetation Mapping Inventory Project of Cape Cod National Seashore
2002-2011. Field data for the Vegetation Mapping Inventory Project of Cape Cod National Seashore
This reference is an assemblage of field data collected as part the baseline vegetation inventory for the park unit. Typical files here are vegetation plot data, accuracy assessment data, field photos, PDF showing locations of vegetation plots and accuracy assessment data, and other data for this type. Vegetation classification and mapping were conducted at Cape Cod National Seashore, creating a digital geospatial vegetation database for the park. Sixty-one vegetation associations were identified within the park boundary. Nine additional associations were included in the classification, but were not mapped. Seven of these associations occur within close proximity to, but just outside the boundary of the Cape Cod National Seashore; one is a small patch association that occurs in the park but was below the minimum map unit in size; and one is a submerged aquatic vegetation community. All 70 associations are described in detail. In the final vegetation map, 11 associations were mapped individually and 49 associations were aggregated into 18 additional vegetation map classes. Assembling two or more associations into a single map unit increased the accuracy of the map. The final vegetation map consists of 29 vegetation map classes: Beach, Beachgrass Dune, Black Locust, Bog, Buttonbush, Cattail Marsh, Cedar Swamp, Coastal Marsh, Coastal Plain Pondshore, Cranberry Swale, Dune Pine Forest, Dune Shrub, Fen, Freshwater Marsh, Heathland / Grassland, Mixed Forest, Oak / Beech Forest, Old Field, Phragmites, Pitch Pine Barrens, Red Cedar, Red Maple Swamp, Salt Marsh, Salt Shrub, Scrub Forest, Scrub Oak, Shrub Swale, Shrub Swamp, and Wooded Marsh.
- Type
- Assemblage
- Units
- CACO , NCBN , VMI
- Keywords
- Accuracy Assessment, botanical survey, Classification, Geodatabase, Habitat Types, Imagery, National Vegetation Classification, NVC, NVCS, Plots, Releve, Relevé, Remote Sensing, USNVCS, Vegetation, Vegetation Inventory, Vegetation Map, Vegetation Mapping