The dataset contains a range of different Pacific regional maps developed by the SPREP GIS team and is available for use by members and partners.
This first state of the environment report for the Pacific region uses regional environment indicators to assess the status, trends, and data quality and availability for the endorsed Pacific environmental priorities. This report also includes an update of the State of Conservation in Oceania report produced in 2013, which was endorsed and published in 2017.
PEBACC - Pacific Ecosystems-based Adaptation to Climate Change - is a five year project funded by the German government and implemented by the Secretariat of the Pacific Regional Environment Programme (SPREP) to explore and promote ecosystem-based options for adapting to climate change. The overall intended outcome of the project is: Ecosystem-based Adaptation (EbA) is integrated into development, climate change adaptation and natural resource management policy and planning processes in three Pacific island countries providing replicable models for other countries in the region.
Invasive Species Taskforce of Pohnpei (iSTOP) strives to enhance and preserve the natural biodiversity of Pohnpei State through collaborative efforts at all levels of our society while cooperating with neighboring states and countries to identify, prevent, and eradicate or manage/control invasive species.
This is a dataset provided by NES in 2014
Ridge to Reef Data, Grassland Vegetation Class, Limited Metadata, Compiled in 2018
Ridge to Reef Data, Secondary Forest in Nauru, limited metadata, compiled in 2018
Ridge to Reef Data on Vegetation Type A located on Nauru, limited metadata, compiled for 1994 and earlier
Ridge to Reef Data, Coconut Vegetation Class, Limited Metadata, Compiled in 2018
PNG's forest cover loss 2000-2017 downloaded from [www.globalforestwatch.org](https://www.globalforestwatch.org/)
From 2001 to 2017, Papua New Guinea lost 1.28Mha of tree cover, equivalent to a 3.0% decrease since 2000, and 158Mt of CO₂ of emissions.
The Dataset contains and will contain the following: • Updated text; • National R2R website or associated links; • Social media account names/handles – FB, Twitter, Instagram, Youtube etc; • Newsletters ; • Articles ; • Videos • Photographs • Resources – Concept/Technical Notes, Guides, Posters etc.