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.

Mangrove forests are among the world’s most productive and carbon-rich ecosystems. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Despite a growing understanding of the factors controlling mangrove soil carbon stocks, there is a pressing need to advance understanding of the pace of peat development beneath maturing mangroves — especially in created and restored mangroves, which are often intended to compensate for ecosystem functions lost during mangrove conversion to other land uses. To better quantify the rate of soil organic matter development beneath created, maturing mangroves, we measured ecosystem changes along a 25-year chronosequence in Tampa Bay Florida (USA). We compared ecosystem properties in created mangroves to adjacent natural mangroves. We also quantified site-specific changes that occurred between 2010 and 2016. Our objective was to advance understanding of the pace of ecosystem development in created, maturing mangrove forests. This information can improve predictions of mangrove responses to global change and ecosystem restoration.

These data represent surface elevation change and vertical accretion time series collected from a series of degraded tidal wetland sites near Goodland, Florida, USA. Surface elevation was measured using a combination of rod surface elevation tables (SETs) and feldspar marker horizons. Here, we document mangrove forest and soil structural changes within transects established in tidally restricted areas on Marco Island (Collier County, Florida, USA), which has broad swaths of dead-standing or unhealthy mangroves. Original data were collected in January 2015, and re-collected in August 2015, January 2016, July 2016, January 2017, June 2018 and June 2019.

This dataset provides estimates of mangrove extent for 2016, and mangrove change (gain or loss) from 2000 to 2016, in major river delta regions of eight countries: Bangladesh, Gabon, Jamaica, Mozambique, Peru, Senegal, Tanzania, and Vietnam. For mangrove extent, a combination of Landsat 8 OLI, Sentinel-1 C-SAR, and Shuttle Radar Topography Mission (SRTM) elevation data were used to create country-wide maps of mangrove landcover extent at a 30-m resolution. For mangrove change, the global mangrove map for 2000 (Giri et al., 2010) was used as the baseline. Normalized Difference Vegetation Indices (NDVI) were calculated for every cloud- and shadow-free pixel in the Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI collection and used to create an NDVI anomaly from 2000 to 2016. Areas of change (loss or gain) occurred at the extremes of the cumulative anomalies.

This dataset provides estimates of mangrove extent for 2016, and mangrove change (gain or loss) from 2000 to 2016, in major river delta regions of eight countries: Bangladesh, Gabon, Jamaica, Mozambique, Peru, Senegal, Tanzania, and Vietnam. For mangrove extent, a combination of Landsat 8 OLI, Sentinel-1 C-SAR, and Shuttle Radar Topography Mission (SRTM) elevation data were used to create country-wide maps of mangrove landcover extent at a 30-m resolution. For mangrove change, the global mangrove map for 2000 (Giri et al., 2010) was used as the baseline. Normalized Difference Vegetation Indices (NDVI) were calculated for every cloud- and shadow-free pixel in the Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI collection and used to create an NDVI anomaly from 2000 to 2016. Areas of change (loss or gain) occurred at the extremes of the cumulative anomalies.

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.

This dataset provides estimates of greenness trends, above- and belowground carbon stocks, and climate variables of the persistent mangrove forests on the coasts of Mexico (PMFM) at a 1 km resolution from 2001 through 2015. Data are available as one-time estimates or across the temporal range; typically as monthly summaries. One-time estimates of aboveground carbon and soil organic carbon stocks for the PMFM derived from existing sources are provided. Also included are the monthly mean normalized difference vegetation index (NDVI) from MOD13A3 used to derive greenness trends, monthly mean air temperature, and total monthly precipitation from Daymet for 2001-2015 across the PMFM. Other files include the distribution and coverage of PMFM across Mexico. Distributions are provided as four categories of PMFM: (1) Arid mangroves with Surface Water as main input, along the Gulf of California and Pacific Coast (ARsw); (2) humid mangroves with surface water input along the Pacific Coast (HUsw-Pa); (3) humid mangroves with surface water input along the coast of the Gulf of Mexico (HUsw-Gf); (4) humid mangroves with groundwater input along the Gulf of Mexico and Caribbean Sea (HUgw). These data provide a baseline for national monitoring programs, carbon accounting models, and greenness trends in coastal wetlands.

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 density 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 dataset provides estimates of greenness trends, above- and belowground carbon stocks, and climate variables of the persistent mangrove forests on the coasts of Mexico (PMFM) at a 1 km resolution from 2001 through 2015. Data are available as one-time estimates or across the temporal range; typically as monthly summaries. One-time estimates of aboveground carbon and soil organic carbon stocks for the PMFM derived from existing sources are provided. Also included are the monthly mean normalized difference vegetation index (NDVI) from MOD13A3 used to derive greenness trends, monthly mean air temperature, and total monthly precipitation from Daymet for 2001-2015 across the PMFM. Other files include the distribution and coverage of PMFM across Mexico. Distributions are provided as four categories of PMFM: (1) Arid mangroves with Surface Water as main input, along the Gulf of California and Pacific Coast (ARsw); (2) humid mangroves with surface water input along the Pacific Coast (HUsw-Pa); (3) humid mangroves with surface water input along the coast of the Gulf of Mexico (HUsw-Gf); (4) humid mangroves with groundwater input along the Gulf of Mexico and Caribbean Sea (HUgw). These data provide a baseline for national monitoring programs, carbon accounting models, and greenness trends in coastal wetlands.

We evaluated changes in mangrove distribution and ecosystem properties in the southeastern United States under climate change using known climate-ecological relationships, recent climate data for the period 1981-2010, and future projected climate data for the period 2071-2100 under two Shared Socio-economic Pathways (SSPs): the SSP2-4.5 and SSP5-8.5 scenarios, which correspond to intermediate and high greenhouse gas emissions scenarios, respectively. We quantified potential mangrove presence, mangrove relative abundance, coastal wetland vegetation height, and coastal wetland vegetation aboveground biomass under recent climatic conditions and under the two alternative future climate scenarios.