In oceanography, a front is a boundary between two distinct water masses. The water masses are defined by moving in different directions. The water masses on either side of a front may also have different temperatures, salinities, or densities, along with differences in other oceanographic markers.
This image represents the number of times a front has been detected in 166 monthly Sea Surface Temperature datasets.
Data is based on MODIS images aboard NASA Terra and Aqua satellites. The Canny operator algorithm was used in determining edges in the data.
This maps shows the geomorphic features of the seafloor in Solomon Islands EEZ. Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The map represents and important contribution towards the understanding of the distribution of blue habitats.
A map showing hydrothermal vents in Solomon Islands EEZ. The map was created by MACBIO as resource for the workshop on bioregions in Feb 2018. Data is based on InterRidge Vents Database.
Map showing a classification of seamounts in Solomon Islands EEZ. Classification is based on Blue Habitats global classification scheme. The map was designed by MACBIO as resource for the workshop on bioregions in Feb 2018. Data is based on Yesson et al. (2011) "The global distribution of seamounts based on 30-second bathymetry data and Harris et al. (2014) "Geomorphology of the oceans".
CSV file containing species richness values and mapping parameters for marine species (with a probability of occurrence > 0.5) derived from AquaMaps. A total of 33,512 species were used in the generation of this file.
Coordinate system is WGS84 (ESPG 4326) with coordinates expressed in longitude and latitude.
Fields in this file are:
C-Square Code: unique identifier for grid
Longitude: longitude in decimal degrees
Latitude: latitude in decimal degrees
Species Count: number of species modeled at given point
AquaMaps are computer-generated predictions of natural occurrence of marine species, based on the environmental tolerance of a given species with respect to depth, salinity, temperature, primary productivity, and its association with sea ice or coastal areas. These 'environmental envelopes' are matched against an authority file which contains respective information for the Oceans of the World. Independent knowledge such as distribution by FAO areas or bounding boxes are used to avoid mapping species in areas that contain suitable habitat, but are not occupied by the species.
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
The SPREP ID map is a high resolution (1MB) that shows SPREP member countries with their Exclusive Economic Zone (EEZ) boundaries developed by the GIS team at SPREP.
The SPREP ID map is low resolution (200KB) that shows SPREP member countries with their Exclusive Economic Zone (EEZ) boundaries developed by the GIS team at SPREP.
The map is high resolution showing SPREP member countries' Exclusive Economic Zone (EEZ) boundaries overlaid on a bathymetric base layer that was developed by the GIS team at SPREP.
The map is low resolution showing SPREP member countries' Exclusive Economic Zone (EEZ) boundaries overlaid on a bathymetric base layer that was developed by the GIS team at SPREP.
Maps and associated data from the Turtle Research and Monitoring Database System (TREDS). A summary of the database can be found below.
The Turtle Research and Monitoring Database System (TREDS) provides invaluable information for Pacific island countries and territories to manage their turtle resources. TREDS can be used to collate data from strandings, tagging, nesting, emergence and beach surveys as well as other biological data on turtles.
The dataset contains a range of different Pacific regional maps developed by the SPREP GIS team and is available for use by members and partners.
CVS version of the data in excel