Map showing the location and maximum wave height of historic tsunamis from 2000 B.C. to the present. Events were gathered from scientific, scholarly sources, regional and worldwide catalogues, tide gauge data, deep ocean sensor data, individual event reports and unpublished works. The map was compiled by MACBIO as resource for the bioregions workshop in Feb 2018. Data stems from the Global Historical Tsunami Database.
Map of Tuna Management Zones based on Solomon Islands Tuna Management and Development Plan. Data Baseline is The Delimitation of Marine Waters Act, 1978.
A Map showing vessel traffic within and through Solomon Islands EEZ. The map was developed by MACBIO as resource for the bioregions workshop in Feb 2018.
Data is based on data collected by SPREP using Automatic Identification System (AIS). AIS was designed primarily as a collision avoidance system for large class vessels.
Map showing the different uses that put pressure on the marine environment. This includes among others vessel tracts, fisheries data, protected and restricted areas. Data sources are:
UNEP/CBD/EBSA/WSPAC/1/2. 2011. Compilation of Scientific Information to Describe EBSAs in the Western South Pacific Region.
KBAs: CEPF
DSM Tenements: Ministry of Lands and Survey, Solomon Islands
Shipping Routes: Solomon Islands Maritime and Ports Authority (SIPA)
Marine Managed Areas: CTAtlas
Vessel Tracks: Exact AIS
Indication of location for the establishment of the Barana and Queen Elizabeth Park to improve the upper Mataniko and Lungga catchment area’s provision of fresh water supply and other ecosystem services.
*refer to Honiara Ecosystem Based Adaptation Option Assessment report for more detailed information*
he 33 deepwater bioregions for the Solomon Islands were condensed into 26 bioregions. The major changes were made to the northwestern side of the Solomon Islands EEZ; there was general agreement about the deepwater bioregions in the southeastern half of the country. Bioregions 120, 164, 167, 192, 244, and 304 were merged with Bioregion 222. Bioregion 226 was split into two halves, and one part of the non-contiguous Bioregion 240 (the part closer to the islands) was merged with 222.
The Institute for Marine Remote Sensing (IMaRS) at the University of South Florida (USF) was funded by the Oceanography Program of the National Aeronautics and Space Administration (NASA) to provide an exhaustive worldwide inventory of coral reefs using high-resolution satellite imagery. By using a consistent dataset of high-resolution (30 meter) multispectral Landsat 7 images acquired between 1999 and 2002, USF characterized, mapped and estimated the extent of shallow coral reef ecosystems in the main coral reef provinces (Caribbean-Atlantic, Pacific, Indo-Pacific, Red Sea).
a mapping representation of active and passive continental margins, oceanic plate boundaries and mid ocean spreading ridges
statistical records as of 2014 on the distribution of seamount. Accordingly, there are more seamounts in the Pacific Ocean than in the Atlantic, and their distribution can be described as comprising several elongate chains of seamounts superimposed on a more or less random background distribution (Craig and Sandwell)
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.
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2005. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2010. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2015. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.