excel version of the data
Excel version of the data on tree cover loss extracted from Global Forest Watch.
The Forest and land use composition of the Solomon Islands study in 2016, shows 7.77% of the total land area was ‘cropland’. Cropland itself comprises 2176 square kilometres. In 2016 the dominant crop type was mixed subsistence agriculture followed by coconut, mixed crops (including coconut overstory) and palm oil Cocoa and ‘other’ agriculture make up the remaining area under cultivation. Includes pie chart.
an excel version of the data with graphical representation.
An excel extraction of the data from the internet link resource
an excel version of the data from the direct internet link
This graph shows the profile of languages in Solomon Islands with respect to their status of language development versus language endangerment. Each individual language that has an entry for Solomon Islands is included in the profile. Adapted from https://www.ethnologue.com/profile/SB.
Excel spreadsheet and associated graph.
The dolphin hunts in the Solomon Islands are typically conducted between January and April, when the seas are calm. Home to the largest drive slaughter of dolphins in the world, annual kills between the years 1976-2013 averaged 850 dolphins per year. Since Dolphin Project began a full-time campaign in 2015 in Fanalei, Solomon Islands, slaughters have dropped to a four-year average of 247 dolphins.
In most villages, affected families lost on average 1 canoe or less, but from the 40 households in Tapurai predisaster, it was estimated that more than 58 canoes were lost.
*data extracted from the pdf report*
Villagers explained that losses of fishing gear were related to the destruction of houses. Fishing gear (lines, goggles, spears etc.) was stored within houses and if a house was washed away by the wave then all gear was lost. An indication of the types of gear that were lost or damaged in the tsunami is given in this data, based on individual interviews with fisher.
*data extracted from pdf report*
The bolded ecosystem services in this table are likely to be less resilient to future climate conditions
*please refer to Honiara Ecosystem Based Adaptation assessment and masterplan report for narration and further information*
Prioritized EbA adaptation options
*please refer to Honiara Ecosystem Adaptation Assessment report for narration and further information*
This dataset contains economic information for catch and catch vessels in the Asia and Pacific region, including country-level data on Solomon Islands.
GEBCO’s gridded bathymetric data set, the GEBCO_2020 grid, is a global terrain model for ocean and land at 15 arc-second intervals. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2020 Grid is based.
If the data sets are used in a presentation or publication then we ask that you acknowledge the source.This should be of the form: GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9)
Raster data representing the mean levels of chlorophyll in mg/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of dissolved oxygen in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of nitrate in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.