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Knowledge for Policy
Digital Observatory for Protected Areas (DOPA) Explorer

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Solomon Islands

90
SLB
DOPA Explorer is the Joint Research Centre’s web based information system on the world's protected areas, which helps the European Commission and other users to assess the state of and the pressure on protected areas at multiple scales.

 

Happening Now

Fires

Active fire products from the Moderate Resolution Imaging Spectroradiometer (MODIS) for the last 24 hours up to the last 90 days.
 
Fires legend

DOPA Explorer is the Joint Research Centre’s web based information system on the world's protected areas, which helps the European Commission and other users to assess the state of and the pressure on protected areas at multiple scales.Active fires are located on the basis of the so-called thermal anomalies produced by them. The algorithms compare the temperature of a potential fire with the temperature of the land cover around it; if the difference in temperature is above a given threshold, the potential fire is confirmed as an active fire or "hot spot." Global Wildfire Information System (GWIS) uses the active fire detections provided by the NASA FIRMS (Fire Information for Resource Management System).


  • Last 1 Day

  • Last 7 Days

  • Last 30 Days

  • Last 90 Days

Floods

Global historical and current flood events derived from news, governmental, instrumental, and remote sensing sources from the Dartmouth Flood Observatory and Flood hazard 100 year return period Layer from Global Flood Awareness System
 
Floods legend

Flood hazard 100 year return period

Inundated areas for flood events with a return period of 100 years, based on GloFAS climatology. Permanent water bodies derived from the Global Lakes and Wetlands Database and from the Natural Earth lakes map (naturalearthdata.com).

  • Shallow (less than 1m)

  • Moderate (between 1 and 3 m)

  • Deep (between 3 and 10 m)

  • Very deep (permanent water)

Droughts

The indicator shows the risk of having impacts from a drought, by taking into account the exposure and socio-economic vulnerability of the area, with particular focus on the agricultural impacts.
 
Drought legend

Risk of Drought Impact

The indicator shows the risk of having impacts from a drought, by taking into account the exposure and socio-economic vulnerability of the area, with particular focus on the agricultural impacts. Formerly known as Likelihood of Drought Impact (LDI), it differs from the latter in that soil moisture anomaly is now included and updated every ten days (dekad).

  • Low

  • Medium

  • High


See also the Standardized Precipitation Index (SPI) of last month.
  • -2.5

  • -2.0

  • -1.5

  • -1.0

  • -0.5

  • 0

  • -0.5

  • 1

  • 1.5

  • 2

  • 2.5

Sea Surface Temperature Anomalies

The NOAA Coral Reef Watch (CRW) twice-weekly 50-km Sea Surface Temperature (SST) Anomaly product displays the difference between today's SST and the long-term average. The scale goes from -5 to +5 °C.
 
Sea Surface Temperature Anomaly legend

The NOAA Coral Reef Watch (CRW) twice-weekly 50-km Sea Surface Temperature (SST) Anomaly product displays the difference between today's SST and the long-term average. The scale goes from -5 to +5 °C. Positive numbers mean the temperature is warmer than average; negative means cooler than average. More at NOAA Website Please zoom out to see the layer

  • -5

  • -4

  • -3

  • -2

  • -1

  • 0

  • 1

  • 2

  • 3

  • 4

  • 5

Coral Bleaching Heat Stress Alerts

Level of stress of the Global Coral Reefs derived from NOAA Alerts Bleaching Alerts.
 
Coral Bleaching Heat Stress Alert legend

Level of stress of the Global Coral Reefs derived from NOAA Alerts Bleaching Alerts. More at: NOAA Website Please zoom out to see the layer

  • No Stress

  • Watch

  • Alert Level 1

  • Alert Level 2

Coral Reef Degree Heating Weeks

The DHW shows how much heat stress has accumulated in an area over the past 12 weeks (3 months).
 
Coral Reef Degree Heating Weeks legend

The DHW shows how much heat stress has accumulated in an area over the past 12 weeks (3 months). In other words, NOAA add up the Coral Bleaching HotSpot values whenever the temperature exceeds the bleaching threshold. More at NOAA Website Please zoom out to see the layer

  • 0

  • 1

  • 2

  • 3

  • 4

  • 5

  • 6

  • 7

  • 8

  • 9

  • 10

  • 11

  • 12

  • 13

  • 14

  • 15

  • 16

  • 17

  • 18

  • 19

  • 20

Climate

Elevation profile

Virtual elevation profile of the country providing minimum, maximum, median, mean elevation values in meters.
 
Min. (m) Mean (m) Max. (m)

Ecosystems

Terrestrial ecoregions

List of terrestrial ecoregions in country and protected areas coverage statistics.
Name Area (km²) % of ecoregion in country % of ecoregion protected in country % country contribution to global protection % of ecoregion protected worldwide
© DOPA Services
Gap of Protection towards Aichi Target 11
On target
-1%
-2%
-5%
-10%
-17%

Marine ecoregions

List of marine ecoregions in country and protected areas coverage statistics.
Name Area (km²) % of ecoregion in country % of ecoregion protected in country % country contribution to global protection % of ecoregion protected worldwide
© DOPA Services
Gap of Protection towards Aichi Target 11
On target
-1%
-2%
-5%
-10%

Inland surface water

Areas of permanent and seasonal surface inland water and their changes over time (1984 - 2018) are expressed in km2 and percentages.
 
Area (km2) of permanent surface water (2018) Area (km2) of seasonal inland water (2018) Net change (km2) of permanent surface water (2018 – 1984) Net change (km2) of seasonal inland water Net change (%) of permanent surface water (2018 – 1984) Net change (%) in surface area of seasonal inland water
Water Occurrence (1984-2018)
>0%
100%
Sometimes Water
Always Water



The Water Occurrence dataset shows where surface water occurred between 1984 and 2018 and provides information concerning overall water dynamics. This product captures both the intra and inter-annual variability and changes. The occurrence is a measurement of the water presence frequency (expressed as a percentage of the available observations over time actually identified as water). The provided occurrence accommodates for variations in data acquisition over time (i.e. temporal deepness and frequency density of the satellite observations) in order to provide a consistent characterization of the water dynamic over time.

Water Occurrence Change Intensity (1984-1999 to 2000-2018)
Decrease
No Change
Increase



The Water Occurrence Change Intensity product shows where surface water occurrence increased, decreased or remained invariant between 1984 and 2018. Both the direction of change (i.e. increase, decrease or no change) and its intensity are documented. The occurrence change accommodates for variations in data acquisition over time (i.e. temporal deepness and frequency density of the satellite observations) in order to provide a consistent occurrence change measurement.

Water Transitions (1984-2018)
Permanent  
New Permanent  
Lost Permanent  
Seasonal  
New Seasonal  
Lost Seasonal  
Seasonal to Permanent  
Permanent to Seasonal  
Ephemeral Permanent  
Ephemeral Seasonal  



The Water Transitions map documents changes in water state between the first year and the last year of observation.

Forest cover

Forest cover (2000), forest loss (2000-2018) and forest gain (2000-2012) statistics are expressed in km2 and percent of the country area. Maps with the location of the areas of forest gain and loss are also provided.
Forest cover (km2) Forest cover (%) Forest loss (km2) Forest loss (%) Forest gain (km2) Forest gain (%)
Forest Loss and Gain Layer

  • Forest Loss

  • Forest Gain



Forest loss/gain layer as derived from a global remote sensing product based on Landsat data. See http://www.globalforestwatch.org/ for more details

Land degradation

Changes over 15 years (1999-2013) in the health and productive capacity of the land.
 
No biomass (km2) Persistent severe decline in productivity (km2) Persistent moderate decline in productivity (km2) Stable, but stressed; persistent strong inter-annual productivity variations (km2) Stable Productivity (km2) Persistent increase in productivity (km2)
Land Productivity Layer

  • Persistent severe decline in productivity

  • Persistent moderate decline in productivity

  • Stable, but stressed

  • Stable productivity

  • Persistent increase in productivity


Land fragmentation

Landscape pattern and fragmentation classes computed for the years 1995, 2000, 2005, 2010 and 2015.
 
Natural land pattern and fragmentation statistics (2015)
Core (km2) Non Natural (km2) Edge (km2) Core Perforation (km2) Islet (km2) Linear (km2)
Land Fragmentation Layer

  • Core

  • Non Natural

  • Edge

  • Core Perforation

  • Islet

  • Linear



Select a Year


Ecosystem Services

Below ground carbon

Country statistics for the amount of below ground carbon
 
Min. (Mg) Mean (Mg) Max. (Mg) Sum (Pg)
Below Ground Carbon Map

0 Mg
>8,000 Mg
Below ground carbon


© DOPA Services

Soil organic carbon

Country statistics for the amount of soil organic carbon (0-30 cm depth)
 
Min. (Mg) Mean (Mg) Max. (Mg) Sum (Pg)
Global Soil Organic Carbon (GSOC) Map

0 Mg
>25,000 Mg
The global soil organic carbon concentration map provides users with essential information on degraded areas and soil fertility as well as on the contribution to carbon storage mitigating climate change.


© DOPA Services

Above ground carbon

Country statistics for above ground carbon
 
Min. (Mg) Mean (Mg) Max. (Mg) Sum (Pg)
Global Above Ground Carbon Map

0 Mg
>15,000 Mg
The above-ground carbon (AGC) layer is expressed in Mg (megagrams or tonnes) of biomass per km2


© DOPA Services

Total carbon

Country statistics for the amount of total carbon (below ground C +  organic soil C + above ground C)
 
Min. (Mg) Mean (Mg) Max. (Mg) Sum (Pg)
Total Carbon Map

0 Mg
>55,000 Mg
Below ground carbon


© DOPA Services

Land Cover

Copernicus Global Land Cover 2019

Using the first aggregation level, the land cover classes are provided for this country for the year 2015 km2 and %.
 
Land Cover Class % Covered Calculated Surface (km2) Color Map

ESA Land Cover change (1995-2015)

Using three different aggregation levels, the land cover classes are provided for this protected area for the years 1995, 2000, 2005, 2010 and 2015 in km2 and %.


1995 2015
© DOPA Services
Land Cover Change (1995 to 2015) Legend
Natural / semi-natural land → Mosaic natural / managed land  
Natural / semi-natural land → Cultivated / managed land  
Natural / semi-natural land → Water / snow and ice  
Mosaic natural / managed land → Natural / semi-natural land  
Mosaic natural / managed land → Cultivated / managed land  
Mosaic natural / managed land → Water / snow and ice  
Cultivated / managed land → Natural / semi-natural land  
Cultivated / managed land → Mosaic natural / managed land  
Cultivated / managed land → Water / snow and ice  
Water / snow and ice → Natural / semi-natural land  
Water / snow and ice → Mosaic natural / managed land  
Water / snow and ice → Cultivated / managed land  

Species

Species numbers

The number of threatened, endemic and assessed species as reported by the IUCN Red List of Threatened SpeciesTM
 
Reported number of animal and plant species in the country
Animal species assessed by IUCN Plant species assessed by IUCN Total species assessed by IUCN
(*) Excluding extinct species and species extinct in the wild.
IUCN Red List of Threatened Species (2017.2), © DOPA Services
Reported number of threatened amphibians, birds and mammals in the country
Threatened Amphibians Threatened Birds Threatened Mammals Total
IUCN Red List of Threatened Species (2020.1), © DOPA Services
Reported endemic and threatened endemic vertebrates in the country
Amphibians Birds Mammals Sharks and Rays Total
IUCN Red List of Threatened Species (2020.1), © DOPA Services
Species will not necessarily be present in the protected area. The IUCN Red List of Threatened Species is complete for some groups (mammals, birds, amphibians, sharks and rays, mangroves, seagrasses, cycads, conifers, and selected marine, freshwater and invertebrate taxa), but not complete for many others (e.g., reptiles). We therefore have generated our key species indicators for the globally assessed major taxonomic groups of birds, mammals, amphibians, warm-water reef-building corals and rays & sharks only. Species ranges are mapped as generalized polygons which often include areas of unsuitable habitat, and therefore species may not occur in all of the areas where they are mapped. In general, for range-restricted taxa, ranges are mapped with a higher degree of accuracy, sometimes down to the level of individual subpopulations, compared with more widely distributed species.
Threatened = species assessed in any of the three threatened Red List categories (Critically Endangered, Endangered, Vulnerable) See http://www.iucnredlist.org/ for more details.



Species richness legend

Low richness
High richness

Threatened species (computed)

The species list in country's protected areas is computed from the species ranges recorded in the IUCN Red List of Threatened SpeciesTM
 
IUCN Red List ID Scientific Name Phylum Order Family Status
IUCN Red List of Threatened Species (2020.1), © DOPA Services
Species will not necessarily be present in the protected area. The IUCN Red List of Threatened Species is complete for some groups (mammals, birds, amphibians, sharks and rays, mangroves, seagrasses, cycads, conifers, and selected marine, freshwater and invertebrate taxa), but not complete for many others (e.g., reptiles). We therefore have generated our key species indicators for the globally assessed major taxonomic groups of birds, mammals, amphibians, warm-water reef-building corals and rays & sharks only. Species ranges are mapped as generalized polygons which often include areas of unsuitable habitat, and therefore species may not occur in all of the areas where they are mapped. In general, for range-restricted taxa, ranges are mapped with a higher degree of accuracy, sometimes down to the level of individual subpopulations, compared with more widely distributed species.
Threatened = species assessed in any of the three threatened Red List categories (Critically Endangered, Endangered, Vulnerable) See http://www.iucnredlist.org/ for more details.

Species occurrences reported to the GBIF

Species occurrences map reported to the Global Biodiversity Information Facility (GBIF).
 

GBIF species occurrence density

Low
High



Select a phylum from the animal or plant kingdom and filter by year

Species are displayed as spatial layers made available from the Global Biodiversity Information Facility (GBIF) that derive from many sources, including everything from museum specimens collected in the 18th and 19th century to geotagged smartphone photos shared by amateur naturalists in recent days and weeks. This dataset may help you identifying information gaps and factors limiting the dissemination of biodiversity information that are recognized as priorities both at the political and scientific levels of the the Convention on Biological Diversity (CBD).
GBIF.org (2021), GBIF Home Page. Available from https://www.gbif.org

Conservation

Protected area coverage and connectivity

This indicator assesses the protected area coverage and connectivity (ProtConn) in country expressed in km2 and percentages.
Total Land Area Protected Land Area Terrestrial Coverage Total Marine Area Protected Marine Area Marine Coverage Protected Connected Land
© DOPA Services

Country protection relative to Aichi Target 11

This indicator represents the progress towards Aichi Target 11 of the country
Progress towards Aichi Target 11: 17% terrestrial coverage Progress towards Aichi Target 11: 10% marine coverage
© DOPA Services

Representation Achievement Score

Average percentage of targets achieved for terrestrial units covered by protected areas.

Number of protected areas

Number of Terrestrial, Marine and Coastal protected areas in country
Total number of all PAs (all geometries) Number of all polygon PAs Number of all point PAs Number of terrestrial PAs (polygons) Number of terrestrial PAs (points) Number of marine PAs (polygons) Number of marine PAs (points) Number of coastal PAs (polygons) Number of coastal PAs (points)
© DOPA Services

Number of protected areas ≥ 1 km2

Number of Terrestrial, Marine and Coastal protected areas greater than or equal to 1 km2 in country
Number of PAs ≥ 1 km2 (all geometries) Number of polygons PAs ≥1 km2 Number of point PAs ≥1 km2 Number of terrestrial PAs (polygons) Number of terrestrial PAs (points) Number of marine PAs (polygons) Number of marine PAs (points) Number of coastal PAs (polygons) Number of coastal PAs (points)
© DOPA Services

List of protected areas ≥ 1 km2

List of Terrestrial, Marine and Coastal protected areas greater than or equal to 1 km2 in country.
Name Area (km²) Type
© DOPA Services

Key Biodiversity Areas

Number and protection of Key Biodiversity Areas
KBAs in country
Number of KBAs in country
KBAs fully protected
More than 98% protected
KBAs partially protected
Between 2 and 98% protected
KBAs not protected
Less than 2% protected
KBAs average protection
Average protection in country
© DOPA Services

Estimated number of threatened and near threatened species for protected areas

Estimated number of threatened and near threatened species for protected areas in country as extracted from the range maps of the species documented by the IUCN.

Habitat diversity in protected areas ≥ 5 km2

Country ranking of the protected areas at least as large as 5 km2 according to the diversity of their habitats.

Pressures

Change in agricultural land

Change in agricultural land in country - Data provided by The World Bank.

Change in rural and urban population

Change in rural and urban population in country - Data provided by The World Bank.

List of protected areas ≥ 1km2 and associated pressures

List of protected areas ≥ 1 km2 and associated pressures.
Name Area (km²) Agricultural Pressure Road Pressure Population Pressure Population Density Change 2000-2015 (%) Type
© DOPA Services

Working poor at $3.10 a day (% of total employment)

Proportion of employed people in country who live on less than $3.10 (in Purchasing Power Parity (PPP) terms) a day, expressed as a percentage of the total employed population ages 15 and older.More at http://www.ilo.org/ilostat.
Working poor at PPP$3.10 a day (% of total employment)

  • 0 -10 %

  • 10 -25 %

  • 25 -50 %

  • 50 -75 %

  • more than 75 %



Proportion of employed people who live on less than $3.10 (in purchasing power parity terms) a day, expressed as a percentage of the total employed population ages 15 and older. More at http://www.ilo.org/ilostat.

Funding

Net official development assistance and official aid received

Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: oecd.org/dac/stats/idsonline.
Net official development assistance and official aid received between 1960 and 2016

  • 0 US$

  • 0 - 10B US$

  • 10B$ - 20B US$

  • 20B$ - 30B US$

  • 30B$ - 50B US$

  • 50B$ - 75B US$

  • More than 75B US$


Conservation projects

Map of conservation projects funded by the EU (Life and BEST programmes, EuropeAid) and the World Bank. See our other tool eConservation for more details.
eConservation Project sites
  • eConservation is an application of the Digital Observatory for Protected Areas (DOPA) developed by the Joint Research Centre of the European Commission.
    With a focus on EU funding, eConservation provides critical information on funding from public donors worldwide to support biodiversity conservation. The aim is to better understand who is funding what and where, with a view to improve decision-making on biodiversity conservation.