Study on Bikini Atoll coral biodiversity resilience five decades after nuclear testing.
* List of 28 missing coral species (data of study in 2008 compared to data Wells 1954)
* List of total coral species in 1954 and 2008
A collection of datasets for economic, demographic, and population metrics for the Marshall Islands derived from the World Bank DataBank interface. DataBank is an analysis and visualisation tool that contains collections of time series data on a variety of topics. Data are derived from a series of databases such as: World Development Indicators; Statistical Capacity Indicators, Education Statistics, Gender Statistics, Health Nutrition and Population Statistics, and others
Annual Greenhouse Gas Emissions estimated by the Global Carbon Project 2020 for the Marshall Islands 1992-2019. Source: https://www.globalcarbonproject.org/
Ozone Depleting Substance consumption reported to the United Nations Environment Programme Ozone Secretariat from 1986-2019. Source: https://ozone.unep.org/countries/profile/mhl
Historic temperature and precipitation/rainfall for the Marshall Islands form the National Oceanic and Atmospheric Administration Climate Data Portal.
The annual and monthly average tide levels (meters) for Kwajalein based on average monthly tide levels from 1947-2020.
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.
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.
Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation.
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).
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.
A recently published paper, titled “Coastal proximity of populations in 22 Pacific Island Countries and Territories” details the methodology used to undertake the analysis and presents the findings. **Purpose** * This analysis aims to estimate populations settled in coastal areas in 22 Pacific Island Countries and Territories (PICTS) using the data currently available. In addition to the coastal population estimates, the study compares the results obtained from the use of national population datasets (census) with those derived from the use of global population grids.