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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

This is a link to the website to download the UNEP-WCMC global patterns of above-ground biomass of mangrove forests.

This is a link to the website to download the distribution of seagrass biome dataset.

This is a MaxEnt model map of the global distribution of the seagrass biome. Species occurrence records were extracted from the Global Biodiversity Information Facility (GBIF), United Nations Environment Programme-World Conservation Monitoring Centre (UNEP-WCMC) Ocean Data Viewer and Ocean biogeographic information system (OBIS). This map shows the suitable habitats for the seagrass distribution at global scale.

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)

Strandings of Oceania Database Protocols for data users

Complete form and send, along with other photos, to Karen Baird at SPREP, [email protected]

Proposed Project Objective: Enhanced use of data for decision making in the environment sector throughout the Pacific region. Building on the tools and momentum the Inform project established, this scaled up project will expand the user base and fill significant gaps including in situ monitoring, increased partnerships between the environment ministries and other ministries, increase use of spatial tools, and the establishment of standardise environmental standards and key indicators for key resources.