Mangrove forests in the Fly River delta were surveyed on three trips between April 1989 and March 1990. In April 1989, mangrove forests were surveyed from the air by helicopter to assess their areal extent on all islands and on the mainland banks of the river. Several low level (~100m) passes were made over all of the larger islands, and single passes were made over smaller islands. Rough lists of mangrove species were made for each island and sites were identified for later ground-truthing and standing stock measurements. The aerial surveys and later ground visits by boat, facilitated a fairly accurate estimate of the total area of mangrove forest in the delta. In July and August 1989, detailed ground surveys were made on foot at 26 sites within the delta, while several other areas were surveyed from small boats to assess species distribution patterns. In February 1990, an additional site was surveyed in detail on foot. Survey sites were not evenly distributed over the delta. Most effort was expended in surveying the more diverse forests (as determined from aerial surveys) in the region of the delta, where river salinities ranged from 5-15 ppt. Only a few sites were surveyed in very low salinity. At each of the ground surveys sites (n=27), between two and four people walked a line through the forest in order to record all mangrove species. In addition, tree densities, basal areas, potential forest productivity (PN) and the presence of understory species were recorded in three plots at each site. The diameter at breast height (DBH) of all trees in each plot was recorded and used to calculate densities (stems/ha). The DBH of individual fronds of the palm Nypa fruticans, which grow vertically from ground level, was also recorded. Basal areas of all trees in each plot were measured by the method of angle counts. Potential net primary productivity (PN) for each plot was derived from measurements of incident light taken outside the forest at the beginning and end of each survey and 100 light readings taken at random within each plot. This research was undertaken to survey mangrove distribution and forest structure and obtain estimates of total forest productivity from mangrove forests in the delta of the Fly River. This information was then used in assessing the export of detritus from these mangrove forests. This research project was a component of a larger project "The influence of freshwater and detrital export from the Fly River system on adjacent pelagic and benthic systems".

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.

This dataset includes a regional map of mangrove extent for Myanmar, Thailand, and Cambodia for the period of 1972-1977. The map was developed from Landsat 1-2 MSS Collection 1 Tier 2 imagery. Mangrove extent was generated using a Random Forest machine learning algorithm that effectively mapped a total of 15,420.51 km2 at the nominal Landsat scale of 30 m. This map of mangrove extent served as a baseline to analyze changes in mangrove distribution in Southeast Asia from 1970s through 2020. Southeast Asia is home to some of the planet's most carbon-dense and biodiverse mangrove ecosystems. There is still much uncertainty with regards to the timing and magnitude of changes in mangrove cover over the past 50 years. While there are several regional to global maps of mangrove extent in Southeast Asia for the early 21st century, data prior to the mid-1990s are limited due to the scarcity of Earth Observation (EO) data of sufficient quality and the historical limitations to publicly available EO data. The data are provided in Cloud optimized GeoTIFF format at 60-m resolution. In addition, a shapefile outlines the region of analysis.

Single and multi-stemmed trees of the mangroves Rhizophora stylosa and Avicennia marina were sampled from Port Hedland, Dampier and Exmouth Gulf in the Pilbara region of Western Australia, to determine allometric relationships for estimating above-ground biomass from stem diameter.The stems of eleven Rhizophora stylosa and thirteen Avicennia marina trees were measured. The trees were then felled, divided into component parts and weighed. Weighed subsamples of each component part were also collected to determine dry weight. This research was undertaken to:1. derive allometric relationships between stem diameter at breast height (DBH) and above-ground biomass for Rhizophora stylosa and Avicennia marina, which commonly exhibit a multi-stemmed growth habit along the arid coastline of the Pilbara region.2. provide data to compare with the same species growing in eastern Australia, which exhibit a single stemmed growth habit. This research was a component of the project: "The ecology of arid zone mangroves in northwestern Australia". The project was developed around the working hypothesis that regional mangrove forest structure and growth, mangrove-based food chains and soil biogeochemistry are strongly regulated by aridity.

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.

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 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 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 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.