929 results

This dataset contains mapped polygon locations for protected areas within Tuvalu. This dataset should be viewed in combination with the World Database on Protected Areas point locations to get a comprehensive view of all protected areas within Tuvalu.

Map of the protected areas for Tuvalu with country-level summary statistics on the amount of area under protection, count for each type of protected area (terrestrial or marine), and the count of their designation.

CSV table of protected areas for Tuvalu with the WDPA.

This report presents a set of indicators, referred to as the 'core' set. for reporting on the state of the environment across Commonwealth and State and Territory jurisdictions. The core indicators have been developed by the Australian and New Zealand Environment and Conservation Council (ANZECC) through an extensive consultation process involving both government agencies and the general public.

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

 Secretariat of the Pacific Regional Environment Programme

Reefs at Risk Revisited is a high-resolution update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World’s Coral Reefs. Reefs at Risk Revisited uses a global map of coral reefs at 500-m resolution, which is 64 times more detailed than the 4-km resolution map used in the 1998 analysis, and benefits from improvements in many global data sets used to evaluate threats to reefs (most threat data are at 1 km resolution, which is 16 times more detailed than those used in the 1998 analysis).

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

 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.

 SPREP Environmental Monitoring and Governance (EMG)

Dataset includes various regional-scale spatial data layers in geojson format.

vegetation types within the mainland coastal region provinces

vegetation types for the provinces in the PNG highlands region

 PNG Conservation and Environment Protection Authority

Area of vegetation by province

2xcsv
 Department of Environment, Tuvalu

This report was presented by Tuvalu during the 3rd international conference on small island developing states. It reported the status of sustainable development (SD), outlining the good progress that has been achieved in the pursuit of sustainable development as the country follows the strategies recommended by the international community for small island developing states (SIDS).

 Department of Environment, Tuvalu

A direct internet link to easily access information on fisheries management in Tuvalu hosted on the FAO website

 Department of Environment, Tuvalu

This academic paper investigates the vulnerability of households to climatic disasters in the low-lying atoll nation of Tuvalu. Using the most recent household surveys available, the authors constructed poverty and hardship profiles for households on the different islands of Tuvalu, and combine these with geographic and topographic information to assess the exposure differentials among different groups using spatial econometric models.