Mangrove inventory data from J.N. Ding Darling National Wildlife Refuge, Sanibel Island, Florida, USA collected in 2016 and 2017. Plot data includes X and Y downed dead wood count, mangrove species information and site descriptions. Tree data includes the three species found on the refuge: Avicennia germinans (Black mangroves), Laguncularia racemosa (White mangroves) and Rhizophora mangle (Red mangroves). They were inventoried for diameter at breast height (DBH), height, and dead status.

This data set contains biological information from important coastal mangrove areas situated at the border of, or near the targeted seascapes of the Caribbean Marine Biodiversity Program (CMBP). The data covers: raw species density, diameter at breast height, canopy cover and average heights; GIS data on all locations where data was collected. Targeted seascapes and corresponding countries include: 1) The Mangroves of Bajo Yuna and Los Corozos - Samana Bay - Dominican Republic 2) The Mangroves of Protected Area of Three Bays - Haiti This file reports data on mangroves of Bajo Yuna and Los Corozos in Samana Bay, Dominican Republic. The two datasets, "data" and "density" together describe each area.

This data set contains biological information from important coastal mangrove areas situated at the border of, or near the targeted seascapes of the Caribbean Marine Biodiversity Program (CMBP). The data covers: raw species density, diameter at breast height, canopy cover and average heights; GIS data on all locations where data was collected. Targeted seascapes and corresponding countries include: 1) The Mangroves of Bajo Yuna and Los Corozos - Samana Bay - Dominican Republic 2) The Mangroves of Protected Area of Three Bays - Haiti This file reports data on mangroves of the Mangroves of Protected Area of Three Bays, Haiti. The two datasets, "data" and "density" together describe each area.

Raw data for greenhouse gas measures and physical parameters from the mangrove soils and associated estuarine water. This dataset is associated with the following publication: Martin, R., C. Wigand, A. Oczkowski, A. Hanson, S. Balogh, B. Branoff, E. Santos, and E. Huertas. Greenhouse Gas Fluxes of Mangrove Soils and Adjacent Coastal Waters in an Urban, Subtropical Estuary. WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 40: 1469–1480, (2020).

Raw data for greenhouse gas measures and physical parameters from the mangrove soils and associated estuarine water. This dataset is associated with the following publication: Martin, R., C. Wigand, A. Oczkowski, A. Hanson, S. Balogh, B. Branoff, E. Santos, and E. Huertas. Greenhouse Gas Fluxes of Mangrove Soils and Adjacent Coastal Waters in an Urban, Subtropical Estuary. WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 40: 1469–1480, (2020).

Sediment cores (1 m in depth) were collected at each of three mangrove sites at J.N. Ding Darling National Wildlife Refuge on Sanibel Island, Florida. At each site, one core was collected in the hydrogeomorphic zone called the fringe, which is the area directly adjacent to the ocean. The other core was collected in the zone called the basin, which is the large area, often behind a small berm, that receives less direct tidal energy. All cores were sectioned and measured for sectional volume, dry weight and % organic carbon (OC) by weight.

Mangrove restoration has a strong potential to enhance the services provided by coastal wetlands on a number of Department of the Interior (DOI) managed lands throughout the southeastern United States of America. Services include storm protection, water quality improvement, and biological carbon sequestration. Forest structural attributes including basal area, tree height, and stem density by species are used to calculate above ground biomass and above ground productivity. Percent cover is used to asses the forest canopy health. The data collected for the soils are: bulk density, percent total Nitrogen, percent total Carbon, and selected samples percent total Phosporus. The forest structure plots were placed in three zones; healthy, transition, and dead, along with a reference zone to compare how these plots change over time with the hydrologic restoration. These are pre-restoration measurements.

Mangrove restoration has a strong potential to enhance the services provided by coastal wetlands on a number of Department of the Interior (DOI) managed lands throughout the southeastern United States of America. Services include storm protection, water quality improvement, and biological carbon sequestration. Forest structural attributes including basal area, tree height, and stem density by species are used to calculate above ground biomass and above ground productivity. Percent cover is used to asses the forest canopy health. The data collected for the soils are: bulk density, percent total Nitrogen, percent total Carbon, and selected samples percent total Phosporus. The forest structure plots were placed in three zones; healthy, transition, and dead, along with a reference zone to compare how these plots change over time with the hydrologic restoration. These are pre-restoration measurements.

Twenty-three long-term mangrove vegetation plots were established between 1992-1997 within the southwest coastal region of Everglades National Park (Florida, USA) to quantify tree damage and recovery following hurricanes and to understand the effects of global climate change. Many of the mangrove vegetation plots were associated with hydrology, soil porewater, and soil surface elevation monitoring stations. Within each plot, trees were tagged, mapped, and identified to species. The diameter at breast height (DBH) and status of each tree were measured at one to two year intervals through 2011. This dataset includes 51,730 tree measurements.

Twenty-three long-term mangrove vegetation plots were established between 1992-1997 within the southwest coastal region of Everglades National Park (Florida, USA) to quantify tree damage and recovery following hurricanes and to understand the effects of global climate change. Many of the mangrove vegetation plots were associated with hydrology, soil porewater, and soil surface elevation monitoring stations. Within each plot, trees were tagged, mapped, and identified to species. The diameter at breast height (DBH) and status of each tree were measured at one to two year intervals through 2011. This dataset includes 51,730 tree measurements.