Dataset includes various regional-scale spatial data layers in geojson format.
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.
The InterRidge Vents Database is a global database of submarine hydrothermal vent fields. The InterRidge Vents Database is supported by the InterRidge program for international cooperation in ridge-crest studies (www.interridge.org).
Redlist species of Samoa as of 09/04/2019
This dataset holds a country report for FSM on the assessment of the Key Energy Issues, Barriers to the Development of Renewable Energy to Mitigate Climate Change, and Capacity Development Needs for Removing the Barriers under the Pacific Regional Energy Assessment in 2004
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 data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey.
The dataset is included the Digital Atlas of Micronesia, module Pohnpei, by Island Research & Education Initiative (iREi), in collaboration with Water and Environmental Research Institute of the Western Pacific (WERI) University of Guam and partial funding from United States Geological Survey (USGS), under WRRI 104-B Program, project # 2016GU302B.
This dataset the extent of coral reefs around Pohnpei. The data layer shown here is a subset of Pohnpei base layer. The original data, so-called Digital Line Graphs (DLSs), were created by U.S. Geological Survey (USGS) for the 1:25,000-scale topographic maps (2001). The shoreline was modified by by University of Guam (UOG) (2017) based on 2016 Worldview-3 satellite imagery from Digital Globe. The dataset was slightly shifted and also updated (mainly around Kolonia and its vicinity).
This dataset shows the extent and basic types of sea grass areas around Pohnpei. It classifies sea grass areas by one of the three main species (Cymodocea rotundata, Thalassia hemprichii, and Enhalus acaroides) and the level of coverage (describes as continuous, aggregated, and isolated). The data source is McKenzie, L.J. and Rasheed, M.J. (2006), Seagrasses: Pohnpei Island and And Atoll Marine Assessment, Technical report of survey conducted 26 October 3 November 2005, SeagrassWatch HQ, DPI&F, Cairns, 60pp.
This dataset shows the areas of biological significance (ABS) on Pohnpei. The original dataset was created by The Nature Conservancy. A subset to show only Pohnpei was created by the Island Research & Education Initiative (iREi). These data are intended to capture those areas that represent the wide range of biodiversity features in the marine and terrestial areas of FSM. They are used to guide conservation planning and projects in FSM, and ultimately to help establish conservation areas. Polygons capturing expert knowledge from FSM Blueprint project.
The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management. The WDPA is a joint project between UN Environment and the International Union for Conservation of Nature (IUCN).
The population was compiled from available census reports and validated using other available datasets. For each country, population counts from the finest resolution was trended to 2010 using a country-specific annual growth rate assumptions. Underlying vector geometry comes from regional sources, primarily SPC.
Primary Data Source(s): PopGIS, Federated States of Micronesia Division of Statistics
Secondary Data Source(s): None
Geographical Resolutions Available (with count):
1. State (4)
2. Municipality (421)
3. Electoral District (373)
FSM Populations by state collected from census data 1979 and 1990
Catch of main target species of tuna in the FSM EEZ.
CSV file containing the global distribution of hydrothermal vent fields in WGS84 coordinate system.
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
As per national census data 1979 and 1990. Published in the FSM State of the Environment report 1993.