Plot level raw datasets--including Cover, Woody Stem, Plot/Environmental, and Soil--from vegetation sampling on Coastal Wetland Elevation Monitoring Sites within the South Atlantic Geography. There are four tabular datasets for each sampling year, representing the raw data collected from vegetation plots established at each of the South Atlantic Geography Coastal Wetland Elevation Monitoirng Sites. File naming structure is as follows: CWEM (standard)_YearSampled_DatasetType. Datasets include: 1) CWEM_xxxx_Cover: cover class values by taxon and nested quadrat depth by taxon; 2) CWEM_xxxx_Stems: woody stem counts by diameter class and taxon; 3) CWEM_xxxx_Plots: plot metadata, environmental attributes, and disturbance history; and 4) CWEM_xxxx_Soil: soil chemistry and texture analysis results. 2013 files represent the first year of vegetation sampling (baseline) on 20 CWEM sites across 18 refuges within the SALCC, including: ACE Basin, Alligator River (2), Blackbeard Island, Cedar Island, Currituck, Harris Neck, Lower Suwannee (2), Mackay Island, Pea Island, Pinckney Island, Pocosin Lakes, Roanoke River, Savannah, St. Marks, Swanquarter, Waccamaw, Wassaw, and Wolf Island NWR. 2016 files represent the second year of vegetation sampling on 18 of the baseline 20 CWEM sites (Pocosin Lakes and Lower Suwannee-Dan May Creek site not accessed in 2016) and first year sampling (baseline) for the newly established Cape Romain NWR sites (2).

This data set consists of current 2019 and historic ~1940 vegetative cover classification of Chassahowitzka NWR based on the Florida Natural Area Inventory classification. Also vegetation plot locations and associated vegetation variables to track changes in the vegetative community collected in 2019 ae provided to support the larger project. Exotic plant and rare animal ocations are provided. Data are presented as point and polygon shapefiles in WGS 1984 lat/long. A pdf metafile is included.

This data set consists of current 2019 and historic ~1940 vegetative cover classification of Chassahowitzka NWR based on the Florida Natural Area Inventory classification. Also vegetation plot locations and associated vegetation variables to track changes in the vegetative community collected in 2019 ae provided to support the larger project. Exotic plant and rare animal ocations are provided. Data are presented as point and polygon shapefiles in WGS 1984 lat/long. A pdf metafile is included.

Vegetation communities serve as the foundation of habitat for many species, function as a carbon sink, produce oxygen, cycle nutrients and energy, improve water quality, and moderate flooding/erosion. Given the widespread anthropogenic influences in Southeast Coast Network parks and the importance of vegetation communities, quantifying trends in species diversity and forest regeneration is vital to understanding ecological processes and identifying stressors and their impacts. Evaluating trends in vegetation and environmental attributes provides measures for assessing the ecological integrity and sustainability of park’s terrestrial vegetation and identifies potential management activities on our park lands. The National Park Service Omnibus Management Act of 1998 and other reinforcing policies and regulations require park managers to establish baseline information and to provide information on the long-term trends in the condition of National Park System resources (Title II, Sec. 204). The data summarized herein is a tool to assist managers in fulfilling this mandate.

Vegetation communities serve as the foundation of habitat for many species, function as a carbon sink, produce oxygen, cycle nutrients and energy, improve water quality, and moderate flooding/erosion. Given the widespread anthropogenic influences in Southeast Coast Network parks and the importance of vegetation communities, quantifying trends in species diversity and forest regeneration is vital to understanding ecological processes and identifying stressors and their impacts. Evaluating trends in vegetation and environmental attributes provides measures for assessing the ecological integrity and sustainability of park’s terrestrial vegetation and identifies potential management activities on our park lands. The National Park Service Omnibus Management Act of 1998 and other reinforcing policies and regulations require park managers to establish baseline information and to provide information on the long-term trends in the condition of National Park System resources (Title II, Sec. 204). The data summarized herein is a tool to assist managers in fulfilling this mandate.

The resource contains vegetation and general environment data from the ABR, Inc. – Environmental Research and Services (ABR) 2019 aerial surveys. The ABR 2019 ground survey and the 1987-1992 U.S. Fish and Wildlife Service plots from Jorgenson et al. (1994) are also included with cover values converted to top cover. See “abr_anwr_ns_lc_els_deliverable.csv” for general environment data for the ABR ground survey plots. The data in this resource relates to the other data deliverable resources through the project_id and plot_id fields.

Accurate elevation data in coastal wetlands is crucial for planning for sea-level rise. Elevation surveys were conducted across southwest Florida wetlands to provide ground validation of LiDAR as well as target long-term monitoring stations (surface elevation tables). Surveys were conducted in June 2021 across Ding Darling National Wildlife Refuge, Clam Bay, Rookery Bay National Estuarine Research Reserve, and Ten Thousand Islands National Wildlife Refuge. A combination of post-processed kinematic GPS and differential levelling survey techniques were employed, depending on the canopy cover.

Accurate elevation data in coastal wetlands is crucial for planning for sea-level rise. Elevation surveys were conducted across southwest Florida wetlands to provide ground validation of LiDAR as well as target long-term monitoring stations (surface elevation tables). Surveys were conducted in June 2021 across Ding Darling National Wildlife Refuge, Clam Bay, Rookery Bay National Estuarine Research Reserve, and Ten Thousand Islands National Wildlife Refuge. A combination of post-processed kinematic GPS and differential levelling survey techniques were employed, depending on the canopy cover.

The resource contains vegetation cover data from the ABR, Inc. – Environmental Research and Services (ABR) 2019 ground surveys plots and the 1987-1992 U.S. Fish and Wildlife Service plots from Jorgenson et al. (1994). Plant taxonomy names have been standardized to ABR accepted taxonomy as described in the North Slope ANWR Land Cover mapping report. The data in this resource relates to the other data deliverable resources through the project_id and plot_id fields.

The resource contains vegetation cover data from the ABR, Inc. – Environmental Research and Services (ABR) 2019 ground surveys plots and the 1987-1992 U.S. Fish and Wildlife Service plots from Jorgenson et al. (1994). Plant taxonomy names have been standardized to ABR accepted taxonomy as described in the North Slope ANWR Land Cover mapping report. The data in this resource relates to the other data deliverable resources through the project_id and plot_id fields.