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 data set provides canopy height, land cover change, and stand age estimates for mangrove forests in the Rufiji River Delta in Tanzania. The estimates were derived from a canopy height model (CHM) using TanDEM-X imagery and Polarimetric SAR interferometry (Pol-InSAR) techniques. Landsat imagery circa 1990 and circa 2014 was used to estimate stand age between 1994 and 2014 and for forest land cover change modeling.

1:100,000 coastal wetland vegetation mapping for the Queensland coastline including mangrove communities, saltpans and saline grasslands. Mangrove areas are classified based on the dominant genus (Ageiceras, Avicennia, Ceriops, Bruguiera, Rhizophora). This dataset was derived from automatic classification of 25m resolution Landsat TM images, colour aerial photography and ground truthing. The resulting data has a positional accuracy of 100 meters and a classification accuracy of approximately 80%. Additional metadata and access to the data is available on the Queensland Coastal Wetlands Resources Mapping data, eResearch Archive. https://era.daf.qld.gov.au/id/eprint/6187/ Format: Data currency is noted for each shapefile below: * Gulfwtlds.shp (36 MB, polygons, Datum: GDA94, 1995) - NT border to Flinders River - 1995 - SE Gulf of Carpentaria - 1987, 1988, 1991, 1992 * Northernwtlds.shp (11 MB, polygons, Datum: GDA94, 1987-1992) - Cape York Peninsula - 1986-88, 1991 * Centralwtlds.shp (26 MB, polygons, Datum: GDA94, 1986-) - Cape Trib to Bowling Green Bay - 1997-99 - The Burdekin Region - 1991 - The Bowen Region - 1994-95 - The Whitsunday Region - 1997 - Repulse Bay - 1989 - Central Qld - 1995, 1997 - The Curtis Coast Region - 1997 * Southernwtlds.shp (4 MB, polygons, Datum: GDA94) - Round Hill Head to Tin Can Inlet - 1997 - Moreton Region - 1995 An aggregate of all the four shapefiles above was prepared for the eAtlas, creating an aggregate for Queensland. In addition to this a shapefile was created describing the age of the various regions. These derived shapefiles are available for download on this page. All four regional shapefiles, and the Queensland aggregate contain the same attributes * AREA_M2: Area of the polygon in m² * CLASS: - Closed Aegiceras - Closed Avicennia - Closed Avicennia/Aegiceras - Closed Avicennia/Ceriops - Closed Bruguiera - Closed Ceriops - Closed Mixed - Closed Rhizophora - Closed Rhizophora/Aegiceras - Closed Rhizophora/Avicennia - Open Avicennia - Open Avicennia/Ceriops - Open Bruguiera - Open Ceriops - Saline Grassland - Saltpan - Samphire-dominated Saltpan - Sparse Seagrass - Water and Terrestrial Data Location: This dataset is filed in the eAtlas enduring data repository at: data\non-custodian\pre-2015\QLD_DEEDI_Coastal-wetlands_1987-1997\

The study was conducted in 3 mangrove forests in Hurun Bay and 1 in Awerange Bay during the dry season (August 2006) and the wet season (March 2007).Within each forest, meaurements were made for species identification, basal area, diameter at breat heigh. Calculations were made for estimates of stem density and above-ground biomass. Light readings were taken to estimate canopy cover and leaf area index. The extent of tidal inundation was also assessed.Solid-phase elements were measured only during the dry season to determine total C; total N; total organic carbon; total P, Fe, Ca and Mn. Total inorganic carbon was calculated.Rates of sulfate reduction were measured.Solute fluxes of DIC, Ca, Fe, Mn, hydrogen sulphide and O2 across the soil-water interface were measured.Net DIC, Fe, Mn and ammonium production were measured from each plot.Fluxes of CO2 and O2 across the soil-air interface were measured.Nitrogen fixation in soils was also measured. To measure structural and functional attributes of 4 mangrove forests which have colonised fringing coral reefs. Biogeochemical studies were also undertaken in seagrass meadows and sea cage aquaculture sites at nearby locations. Separate metadata records relate to these datasets.

This dataset shows the distribution of mangroves mapped using recently 1997-2000 available Global Land Survey (GLS) data and the Landsat archive.

The mangroves of Torres Strait were mapped with classified Landsat TM satellite imagery. There was 15,663 ha of mangrove mapped on the islands and reefs of central Torres Strait. The largest area of mangrove, 4,744, 3,209, 1,484 and 1,142 ha were mapped on the islands of Boigi, Saibai, Moa and Turnagain Island respectively, which accounted for over two-thirds, 68%, of the mangroves of the central Torres Strait study area. Approximately one-third (49) of the 174 islands of central Torres Strait had mangroves. There was a significant correlation between the distribution of mangroves and the underlying geology; most of the mangroves in Torres Strait were located on coastal alluvium landform features. The mangrove basemaps have been entered into the Torres Strait Geographic Information System for future research, monitoring and conservation planning. Refer to the report: Long BG and McLeod I. (1997) Distribution of Mangroves in Torres Strait. CSIRO Marine Research. Cleveland, Australia. 17 pp.

This data set provides high-resolution LiDAR point cloud data collected during surveys over mangrove forests in the Zambezi River Delta in Mozambique in May 2014. The data are arranged into 144 1- by 1-km tiles.

Surveys of the Dickson Inlet mangrove system were conducted over the period 20-23 February 1989. A limited survey of the mangrove forests in the nearby Mowbray River system was carried out in October 1989.Mangrove forest structure was determined by the "angle count cruising" method, which employs an optical measuring device (relascope) designed especially for rapid basal area estimates of individual tree species and whole forests. At each site, a 360° sweep was carried out using the relascope, with trees falling within the chosen angle scale being counted. The total count for each species or all trees was then simply multiplied by the appropriate factor corresponding to the chosen angle scale to give basal area (m²/ha).Forest potential primary production (Pn) estimates, which provide a good index of the present state of forest health and growth rate, were determined using the light attenuation method. At each of 9 sites (F1-F9), depending on the patchiness of the forest canopy, between 40 and 100 measurements of the intensity of photosynthetically active radiation (PAR) were made using a PAR quantum sensor. These measurements, when compared with the external PAR intensity, provide a measure of the amount of chlorophyll in the forest canopy and, assuming an assimilation constant derived from gas-exchange studies and literature values, provide an estimate of the potential primary production of the forest (kg carbon fixed/ha/day).The long-term, plant-available, nutrient status of the forest soils was estimated by sampling mature leaves of Rhizophora spp. (3 replicate sets of composite samples at each of the 9 sites) and analysing for the major macro nutrient elements which are most likely to be growth-limiting, phosphorus (P), nitrogen (N), iron (Fe) and manganese (Mn). Other soil properties of potential importance in determining forest health such as pH, redox potential (Eh) and salinity were measured in situ using appropriate probes inserted into the soil to a depth of 5-10 cm (pH and Eh) and by measurement of the electrical conductivity of soil water which filled 20-30 cm depth core holes. Soil samples were also taken for determination of sand, silt and clay content and for determination of total nitrogen and organic carbon. Both of these latter parameters provide information on the nutrient retention capacity and present nutrient status of the soil.Creek water samples (W1-W10) were taken at 10 approximately equally-spaced stations along the main channel, with a further sample (sample W11) taken in the same tributary as for forest site F8. Samples were filtered through 0.2 µm Nucleopore filters to provide samples (in duplicate) for later laboratory analyses of dissolved organic carbon and dissolved inorganic nutrients. Dissolved oxygen concentrations were measured using standard polarographic oxygen electrodes calibrated (at zero and saturated levels) just prior to use. One measurement was made at each station by direct immersion of the probe to a depth of about 1 m. Surface water salinity was measured at each station using a conductivity meter. A temperature sensor, built into the conductivity probe, was used to measure the water temperature. This study was undertaken to describe the status of the Dickson Inlet mangrove system, with reference to the forest structure, potential primary production, soil nutrient status and other relevant physico-chemical factors, and water quality. A limited survey of the mangrove forests in the nearby Mowbray River system was carried out in October 1989, to confirm that these forests were similar to the Dickson Inlet forests in terms of species composition. This survey of mangrove forest structure, forest primary production and soil factors of Dickson Inlet was undertaken as part of the Marine and Estuarine Studies section of the Port Douglas and Environs Planning Study, in accordance with the brief from the Premier's Department, through Environment Science and Services.