1360 results

classification of land use in Tuvalu

CVS format of the 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.

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

The development of this NCAP is important in determining the level of ODS consumption in the country. More specifically the NCAP:

The review attempts to identify gaps and then make recommendations for relevant legislation to improve and/or clarify existing ones and improve protection/management of marine turtles.

To help with the identification of legislation gaps, a team at SPREP constructed a matrix of legislation from existing legislation in the region dealing with turtles as well as creating new ones based on available information.

This report focuses only on Rio +20, Millennium Development Goals (MDG) and the Mauritius Strategy for Implementation (MSI) of the BarbadosProgramme of Action (BPOA). Tuvalu is a signatory and party to these international agreements and has been trying to realize the global dream for sustainable development

FAO data providing an overview of Palau's profile in relation to fishery and aquaculture indicators.

Besides the observation that poor households are more vulnerable to negative shocks because they lack the resources to respond, the study also find that they are also more likely to reside in areas highly exposed to disasters (closer to the coasts and at lower elevation) and have less ability to migrate (between and within the islands).

All contents described in the printed map are included in the digital data set which is constructed by Arc/GIS.