50 results
 Secretariat of the Pacific Regional Environment Programme

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.

 PNG Conservation and Environment Protection Authority

Area of vegetation by province

2xcsv

vegetation types within the mainland coastal region provinces

vegetation types for the provinces in the PNG highlands region

Each value represents the number of dumping events observed on fishing vessels during the period 2003-2015

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 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.

 SPREP Island and Ocean Ecosystems (IOE)

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.

 Secretariat of the Pacific Regional Environment Programme

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.

 Secretariat of the Pacific Regional Environment Programme

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).

 Ministry of Natural Resources and Environment (MNRE), Samoa

This dataset holds the 'Water and Sanitation" sector plans for Samoa;

* Water Sector Plan and Framework for Action (2008/9-2011/12)

* Water and Sanitation Sector Plan 2012 - 2016 + Samoan version

* Water and Sanitation Sector Plan : Framework for Action 2016 - 2020

Excel Data herein were extracted from the above reports

 Ministry of Natural Resources and Environment (MNRE), Samoa

The WASH Baseline Survey is an initiative of the Water and Sanitation Sector which aims to:

1. Gain a better understanding of the water and sanitation situation nationally; and
2. Collect information about Knowledge, Attitude and Practices of the population regarding water use, sanitation status and hygiene behaviour.

 Ministry of Natural Resources and Environment (MNRE), Samoa

Cyclone Evan hit Samoa in December 2012 and caused immense damage and significant losses. This comprehensive assessment estimates those damages and losses, and identifies the needs of the affected population.

In this report, the value of durable physical assets across all economic and social sectors destroyed by Evan (referred to as damage) is estimated at SAT 235.7 million, equivalent to US$103.3 million.