This polygon spatial dataset describes the mangrove communities for Darwin Harbour and its environs and was surveyed at a mapping scale of 1:25 000. The associated report notes an area of approximately 20,400 hectares of mangroves in Darwin Harbour and describes ten main mangrove associations or communities. The data provides a basis for identifying the extent and distribution of mangrove communities for Darwin Harbour and its environs.

This spatial polygon dataset is derived from the 2001 mapping of mud crab (Scylla serrata) habitats along the NT and Queensland coastal wetlands. The polygons were derived from Landsat imagery and verified with field work and is suitable for use at scale 1:100,000. The information can be used in many ways to assist the management of these habitats. It provides a suitable baseline dataset for monitoring broad scale changes in area and composition of coastal wetland communities. Additionally, it provides information required by managers for choosing representative habitats for protection.

This polygon spatial dataset describes the mangrove communities for Bynoe Harbour and its environs. The original field survey was undertaken in 1998 at a mapping scale of 1:25,000. The associated report notes an area of approximately 24,000 hectares of mangroves in Bynoe Harbour and describes ten main mangrove associations or communities. The data provides a basis for identifying the extent and distribution of mangrove communities for Bynoe Harbour and its environs. Mangrove mapping was updated over this area in a 2016 survey. See metadata record for Mangrove Community Mapping - Charles Point to Gunn Point. www.ntlis.nt.gov.au/metadata/export_data?type=html&metadata_id=87F656131848A609E050CD9B214417E1

This data was collected to improve our knowledge and understanding of the marine environment in the upper reaches of East and Middle Arms (Darwin Harbour), to assist planning and sustainable development for the new township. Data provide polygon data that map the benthic habitats (12 physical and biological categories) in the upper reaches of the harbour using remote-sensed and survey data. This dataset is being continually updated and is current as of 03/03/2016.

This shapefile is the approximate location of mangroves within the boundary of Ten Thousand Islands NWR in 2014.

This shapefile is the approximate location of mangroves within the boundary of Ten Thousand Islands NWR in 2014.

This shapefile is the approximate location of mangroves within the boundary of Ten Thousand Islands NWR in 2005.

Mangroves are a globally important ecosystem subject to significant anthropogenic and climate impacts. Tidally submerged forests and those that occur in arid and semi-arid regions are particularly susceptible to sea level rise or are growing at the margins of their their ecophysiological limits. The spatial extent of these types of mangroves over broad scales are typically poorly documented as their structural and environmental characteristics make them difficult to detect using remote sensing models. This study utilised the entire Landsat 8 satellite collection between January 2014 and June 2021. A new cloud-based time-series method was used that accounts for tidal variance in detecting mangrove areas that are periodically inundated and have historically been difficult to detect with traditional remote sensing methods. A habitat area model was derived for remote North-western Australia and detected an additional 32% (76,048 hectares) of mangroves that were previously undocumented. The accuracy of the model was assessed within the distinct geomorphic zones of the region through visual validation from high-resolution imagery. See accompanying report for full methodology: Hickey, S.M.; Radford, B. Turning the Tide on Mapping Marginal Mangroves with Multi-Dimensional Space–Time Remote Sensing. Remote Sens. 2022, 14, x. https://doi.org/10.3390/rs14143365

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.