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.
reef-associated bioregions for the Solomon Islands
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).
Spreadsheet and graph derived from table 1 of Kingdom of Tonga National Plan of Action (NPOA) Shark-Plan (2014-216)
Time series data and graph of Tonga's deepwater fishery total catch 2006-2016.
Tables 14 cross-tabulates different socio-demographic and economic variables by damage (household + other dwelling). The table suggests that the worse-off were more affected by GITA.
*data extracted from the PDNA report*
Calculated as Production (if any) + Imports - Exports
time series data on the consumption of CFC 12 & CFC 115 in Tuvalu in the past and submitted to Ozone Secretariat. This data was reported in the National Compliance Action Strategy to implement the Montreal Protocol on Substances that Deplete the Ozone Layer in Tuvalu
Community consultations have taken place on four islands to collect relevant information on island biodiversity, so as to incorporate this into the National Biodiversity Strategy and Action Plan. The perceived threats are shown in this excel sheet.
The data presents the volume and value of estimates annual fisheries catches and aqua cultural harvest in Tuvalu in 2014.
Data extracted from the Fisheries in PIC's economies' report, 2016.
The apparent changes in production for the three years sometimes represents real change in production, but it can also reflect a change in the methodology for how the production is measured (hopefully an improvement). In table above, the production levels for coastal commercial, coastal subsistence, and freshwater change significantly between the years, but some of that change is due to the way in which the production was estimated. For example, for the 2014 estimate of coastal fisheries production, the results of
the 2010 HIES were available.
Long form dataset containing data from APWC high level waste sorts and detailed container sort. See the "Pivot Table" sheet for a summary of the data contained here.
Note that average values will not work for the pivot table, as each category has a number of subcategories which messes up the calculation of averages.