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.
This list of indicators was developed through the Inform project at SPREP for use by Pacific Islands countries (PICs) to meet their national and international reporting obligations. The indicators are typically adopted by PICs for their State of Environment reports and are intended to be re-used for a range of MEA and SDG reporting targets. The indicators have been designed to be measurable and repeatable so that countries can track key aspect of environmental health over time.
Redlist species of Samoa as of 09/04/2019
FSM Protected Areas (PA) data from the World Database on Protected Areas (WDPA), downloaded August 2019. This dataset includes both tables and spatial data.
This is the Vegetation Survey of Yap Main Island from 1986
This dataset provides the timeline of major natural disasters that have affected islands in the FSM, compiled by Whitney Hoot and Danko Taborosi of Island Research & Education Initiative (iREi), from the year 1775 to 2012.
This excel file include four spreadsheets each representing a separate theme (EMG = Environmental Monitoring and Governance, IOE = Island and Ocean Ecosystems, CCR = Climate Change Resilience, WMPC = waste). Within each theme are the core national environment indicators (scrolling from left to right).
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
Excel file with spreadsheets for each species. Downloaded from TREDS May 2021.
FSM has a long history of disturbance from human settlement and use, which influenced the forest structure and species composition over time. This is usually marked by conversion of native forest to agroforestry. In 2016 the percentage of forest area showing signs of disturbance from human activities and climate events was 45%.
Response and Recommendation:
CSV file containing an overview of all terrestrial and marine protected areas in FSM. Status of August 2019 in the WDPA website.
vegetation types within the mainland coastal region provinces
vegetation types for the provinces in the PNG highlands region
This paper highlights the seriousness of the “biodiversity crisis” on atolls and the need to place greater research and conservation emphasis on atolls and other small island ecosystems. It is based on studies over the past twenty years conducted in the atolls of Tuvalu, Tokelau, Kiribati, the Marshall Islands and the Tuamotu Archipelago of French Polynesia. It stresses that atolls offer some of the greatest opportunities for integrated studies of simplified small-island ecosystems.
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.
This dataset summarised a few key findings of the FSM State of Environment Report 2018 in interactive graphs.
In 2016, most of the 54,000 ha of forest in FSM was tropical lowland rainforest