The following data layers are used in Ocean Health Index calculations for goal status, trend, pressures, and resilience. Values for Gulfo de Cadiz were extracted from the global assessment and saved for each region to serve as a template as you gather higher-resolution data and indicators. Note that many values do not have a range because they were equally extracted from the global data layer.
alien_species
Alien species
metadata | value |
---|---|
filename | alien_species_gl2014.csv |
value units | resilience score |
value range | 0.75 to 0.75 |
global extraction | equal: global resilience data were applied equally to all regions. |
The number and type of invasive and harmful invasive species in each marine ecoregion (Molnar et al. 2008).
Data sources:
- Molnar, J.L., Gamboa, R.L., Revenga C., Spalding, M. (2008). Assessing the global threat of invasive species to marine biodiversity. Frontiers in Ecology and the Environment 6(485). doi:10.1890/070064
ao_access
Fisheries management effectiveness and opportunity
metadata | value |
---|---|
filename | ao_access_gl2014.csv |
value units | value |
value range | 0.5568748 to 0.5568748 |
global extraction | equal: global management effectiveness scores were applied equally to all regions. |
The opportunity for artisanal and recreational fishing based on the quality of management of the small- scale fishing sector (Mora et al 2009).
Data sources:
- Mora, C., Myers, R.A., Coll, M., Libralato, S., Pitcher, T.J., Sumaila, R.U., Worm, B. (2009). Management Effectiveness of the Worldï¿s Marine Fisheries. PLoS Biol, 7(6), e1000131. doi:10.1371/journal.pbio.1000131
ao_need
Purchasing power parity as a proxy for subsistence fishing need, by region
metadata | value |
---|---|
filename | ao_need_gl2014.csv |
value units | current international $ |
value range | 0.1774989 to 0.2727241 |
global extraction | equal: global purchasing power parity information was applied equally to all regions. |
The per capita purchasing power parity (PPP) adjusted gross domestic product (GDP): GDPpcPPP.
Data sources:
- The World Bank GDP per capita, PPP (current international $)
cc_acid
Ocean acidification
metadata | value |
---|---|
filename | cc_acid_gl2014.csv |
value units | pressure score |
value range | 0.5157769 to 0.5157769 |
global extraction | raster |
Change in current year's modeled aragonite saturation state (Feely et al. 2010) relative to historical mean (1880-1889).
Data sources:
- Feely, R., Doney, S. & Cooley, S. (2009) Ocean acidification: present conditions and future changes in a high-CO2 world. Oceanography 22:36-47. doi:10.5670/oceanog.2009.95
- J. Afflerbach et al. (2015). Methods
cc_slr
Sea level rise
metadata | value |
---|---|
filename | cc_slr_gl2014.csv |
value units | pressure score |
value range | 0.07661598 to 0.07661598 |
global extraction | raster |
Modeled sea level rise (Nicholls and Cazenave 2010).
Data sources:
- Nicholls R.J. and Cazenave A. (2010). Sea-level rise and its impact on coastal zones. Science 328: 1517-1520. doi:10.1126/science.1185782.
- AVISO Satellite Altimetry Data
- J. Afflerbach et al. (2015). Methods
cc_sst
Sea surface temperature (SST) anomalies
metadata | value |
---|---|
filename | cc_sst_gl2014.csv |
value units | pressure score |
value range | 0.2388581 to 0.2388581 |
global extraction | raster |
Sea surface temperature based on temperature anomolies provided by GHRSST and the US National Oceanographic Data Center.
Data sources:
- AVHRR Pathfinder Version 5.0 SST data
- Casey, K. S., Brandon, T. B., Cornillon, P., and Evans, R. (2010). The past, present and future of the AVHRR Pathfinder SST Program, Oceanography from Space: Revisited, eds. V. Barale, J. F. R. Gower, and L. Alberotanza, Springer. doi:10.1007/978-90-481-8681-5_16
- J. Afflerbach et al. (2015). Methods
cc_uv
UV radiation
metadata | value |
---|---|
filename | cc_uv_gl2014.csv |
value units | pressure score |
value range | 0.1768801 to 0.1768801 |
global extraction | raster |
Modeled UV radiation based on Erythemal UV Irradiance data provided by GES DISC.
Data sources:
- Goddard Earth Sciences Data and Information Services Center (GES DISC)
- J. Afflerbach et al. (2015). Methods
cites
Resilience from commitment to CITES
metadata | value |
---|---|
filename | cites_gl2014.csv |
value units | resilience score |
value range | 1 to 1 |
global extraction | equal: global resilience data were applied equally to all regions. |
Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) signatories.
Data sources:
cp_habitat_extent_rank
Habitat extent multiplied by rank, per Coastal Protection habitats
metadata | value |
---|---|
filename | cp_habitat_extent_rank_gl2014.csv |
value units | extent*rank |
value range | 509.105 to 509.105 |
global extraction | equal: global pressures data were applied equally to all regions. |
Habitat extent multiplied by habitat protection rank for: coral, mangrove (offshore and inland 1km), saltmarsh, sea ice (shoreline), and seagrass
cs_habitat_extent
Habitat extent multiplied by carbon storage capacity, per Carbon Storage habitats
metadata | value |
---|---|
filename | cs_habitat_extent_gl2014.csv |
value units | extent*CS capacity |
value range | 42255.71 to 42255.71 |
global extraction | area_offshore_3nm: global habitat extent was applied to each region after weighting by each region's offshore area to 3nm. |
Habitat extent mulitiplied by habitat carbon storage capacity for: mangrove, saltmarsh and seagrass
cw_coastalpopn_trend
Coastal human population as a proxy for trend in trash
metadata | value |
---|---|
filename | cw_coastalpopn_trend_gl2014.csv |
value units | trend score |
value range | -0.0132128 to -0.0132128 |
global extraction | equal: global trends were applied equally to all regions. |
Coastal population, defined as the total population inland of 25 miles, extracted from Gridded Population of the World (GPW) Population Density Grid Future Estimates.
Data sources:
- Center for International Earth Science Information Network (CIESIN)/Columbia University
- CIESIN & CIAT (Center for International Earth Science Information Network (CIESIN)/Columbia University, & Centro Internacional de Agricultura Tropical (CIAT)) (2005). Gridded Population of the World, Version 3 (GPWv3): Population Density Grid, Future Estimates. Palisades, NY. NASA Socioeconomic Data and Applications Center (SEDAC)
cw_fertilizer_trend
Trends in fertilizer pollution as a proxy for nutrient pollution
metadata | value |
---|---|
filename | cw_fertilizer_trend_gl2014.csv |
value units | trend score |
value range | -0.01113588 to -0.01113588 |
global extraction | equal: global trends were applied equally to all regions. |
Modeled data based on fertilizer consumption from the Food and Agricultural Organization (FAO; Halpern et al. 2015).
Data sources:
- FAOâs statistical database FAOSTAT
- Halpern, B. S. et al. (2015). Spatial and temporal changes in cumulative human impacts on the world's ocean. Nature Communications 6(7615). doi: 10.1038/ncomms8615
cw_pathogen_trend
Trends in access to improved sanitation as a proxy for pathogen pollution trend
metadata | value |
---|---|
filename | cw_pathogen_trend_gl2014.csv |
value units | trend score |
value range | -0.0003045269 to -0.0003045269 |
global extraction | equal: global trends were applied equally to all regions. |
Trends in percent of population without access to improved sanitation facilities.
Data sources:
cw_pesticide_trend
Trends in chemical pollution
metadata | value |
---|---|
filename | cw_pesticide_trend_gl2014.csv |
value units | trend score |
value range | -0.002083703 to -0.002083703 |
global extraction | equal: global trends were applied equally to all regions. |
Modeled chemical pollution from commercial shipping traffic, ports and harbors, and pesticide use (Halpern et al. 2015).
Data sources:
- FAOâs statistical database FAOSTAT.
- Halpern, B. S. et al. (2015). Spatial and temporal changes in cumulative human impacts on the world's ocean. Nature Communications 6(7615). doi: 10.1038/ncomms8615
fis_b_bmsy
B/Bmsy estimates obtained using the catch-MSY method
metadata | value |
---|---|
filename | fis_b_bmsy_gl2014.csv |
value units | B / B_msy |
value range | 0.05435161 to 1.986959 |
global extraction | : |
The ratio of fish population abundance compared to the abundance required to deliver maximum sustainable yield, obtained from the catch-MSY model (Martell & Froese, 2013).
Data sources:
- Martell, S., & Froese, R. (2013). A simple method for estimating MSY from catch and resilience. Fish and Fisheries 14(4): 504-514. doi:10.1111/j.1467-2979.2012.00485.x
fis_meancatch
Catch data for each Taxon/FAO/SAU region averaged across years
metadata | value |
---|---|
filename | fis_meancatch_gl2014.csv |
value units | metric tons |
value range | 8.17638e-18 to 4787770 |
global extraction | : |
Mean catch-per-taxon values within each Sea Around Us/FAO fishing area.
Data sources:
fis_proparea_saup2rgn
proportion area of each SAUP within each OHI reporting region
metadata | value |
---|---|
filename | fis_proparea_saup2rgn_gl2014.csv |
value units | proportion |
value range | 1 to 1 |
global extraction | : |
Lookup table of Sea Around Us Project regions to Ocean Health Index region identifiers.
Data sources:
fishing_v1
CBD survey: coastal fishing v1
metadata | value |
---|---|
filename | fishing_v1_gl2014.csv |
value units | resilience score |
value range | 0.7394704 to 0.7394704 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
fishing_v1_eez
CBD survey: ocean fishing v1
metadata | value |
---|---|
filename | fishing_v1_eez_gl2014.csv |
value units | resilience score |
value range | 0.7394704 to 0.7394704 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
fishing_v2_eez
CBD survey: ocean fishing v2
metadata | value |
---|---|
filename | fishing_v2_eez_gl2014.csv |
value units | resilience score |
value range | 0.6938215 to 0.6938215 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
fishing_v3
CBD survey: coastal fishing v3
metadata | value |
---|---|
filename | fishing_v3_gl2014.csv |
value units | resilience score |
value range | 0.7613825 to 0.7613825 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
fishing_v3_eez
CBD survey: ocean fishing v3
metadata | value |
---|---|
filename | fishing_v3_eez_gl2014.csv |
value units | resilience score |
value range | 0.7613825 to 0.7613825 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
fp_art_hb
High bycatch caused by artisanal fishing
metadata | value |
---|---|
filename | fp_art_hb_gl2014.csv |
value units | pressure score |
value range | 0.03209586 to 0.03209586 |
global extraction | equal: global pressures data were applied equally to all regions. |
The presence of destructive artisanal blast and poison (cyanide) fishing (Reefs at Risk Revisited).
Data sources:
fp_art_lb
Low bycatch caused by artisanal fishing
metadata | value |
---|---|
filename | fp_art_lb_gl2014.csv |
value units | pressure score |
value range | 0.05330544 to 0.05330544 |
global extraction | equal: global pressures data were applied equally to all regions. |
Modeled low bycatch artisanal fishing using non-destructive practices (Halpern et al. 2008) based on FAO fisheries statistics.
Data sources:
- Halpern, B.S., Walbridge S., Selkoe, K.A., Kappel, C.V., Micheli, F., D'Agrosa, C., Bruno, J.F., Casey, K.S., Ebert, C., Fox, H.E., Fujita, R., Heinemann, D., Lenihan, H.S., Madin, E.M.P., Perry, M.T., Selig, E.R., Spalding, M., Steneck, R., Watson, R. (2008) A global map of human impact on marine ecosystems. Science, 3199(5865): 948-952. doi:10.1126/science.1149345
- FAO fisheries statistics
fp_com_hb
High bycatch caused by commercial fishing
metadata | value |
---|---|
filename | fp_com_hb_gl2014.csv |
value units | pressure score |
value range | 0.0379205 to 0.0379205 |
global extraction | equal: global pressures data were applied equally to all regions. |
Modeled destructive commercial fishing practices by 5 different gear types (Halpern et al. 2008).
Data sources:
- Halpern, B.S., Walbridge S., Selkoe, K.A., Kappel, C.V., Micheli, F., D'Agrosa, C., Bruno, J.F., Casey, K.S., Ebert, C., Fox, H.E., Fujita, R., Heinemann, D., Lenihan, H.S., Madin, E.M.P., Perry, M.T., Selig, E.R., Spalding, M., Steneck, R., Watson, R. (2008) A global map of human impact on marine ecosystems. Science, 3199(5865): 948-952. doi:10.1126/science.1149345
fp_com_lb
Low bycatch caused by commercial fishing
metadata | value |
---|---|
filename | fp_com_lb_gl2014.csv |
value units | pressure score |
value range | 0.0379205 to 0.0379205 |
global extraction | equal: global pressures data were applied equally to all regions. |
Modeled least destructive commercial fishing practices by 2 different gear types (Halpern et al. 2008).
Data sources:
- Halpern, B.S., Walbridge S., Selkoe, K.A., Kappel, C.V., Micheli, F., D'Agrosa, C., Bruno, J.F., Casey, K.S., Ebert, C., Fox, H.E., Fujita, R., Heinemann, D., Lenihan, H.S., Madin, E.M.P., Perry, M.T., Selig, E.R., Spalding, M., Steneck, R., Watson, R. (2008) A global map of human impact on marine ecosystems. Science, 3199(5865): 948-952. doi:10.1126/science.1149345
fp_targetharvest
Targeted harvest of cetaceans and sea turtles
metadata | value |
---|---|
filename | fp_targetharvest_gl2014.csv |
value units | pressure score |
value range | 0.003286951 to 0.003286951 |
global extraction | equal: global pressures data were applied equally to all regions. |
Targeted harvest of cetaceans and marine turtles, from FAO fisheries data.
Data sources:
fp_wildcaught_weight
Fisheries weighting factor
metadata | value |
---|---|
filename | fp_wildcaught_weight_gl2014.csv |
value units | proportion |
value range | 0.6974263 to 0.6974263 |
global extraction | equal: global weights were applied equally to all regions. |
Proportion of wild caught fisheries yield to mariculture yield, based on FAO fisheries statistics.
Data sources:
hab_extent
Habitat extent
metadata | value |
---|---|
filename | hab_extent_gl2014.csv |
value units | km^2 |
value range | 0 to 66099 |
global extraction | raster |
Habitat extent
Data sources:
- Hamilton, S. & Casey, D. (2014). Creation of a high spatiotemporal resolution global database of continuous mangrove forest cover for the 21st Century (CGMFC-21): a big-data fusion approach. arXiv:1412.0722
- Bridgham, S. D. , Megonigal, J. P. , Keller, J. K., et al. (2006). The carbon balance of North American Wetlands. Wetlands 26: 889-916.
- Dahl, T. E. (2000). Status and trends of wetlands in the conterminous United States 1986 to 1997. U.S. Department of the Interior, Fish and Wildlife Service, Washington, D.C.
- Ministry for the Environment (2007). Environment New Zealand (http://www.mfe.govt.nz/sites/default/files/environment-nz07-dec07.pdf)
- Joint Nature Conservation Committee, JNCC. (2004). UK Lowland wetland habitats (http://jncc.defra.gov.uk/page-1433)
- European Environment Agency (2008).
- Cavalieri, D. J., Parkinson, C. L., Gloersen, P. and Zwally, H. (2014). Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS passive microwave data. 1979-2014. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center. http://dx.doi.org/10.5067/8GQ8LZQVL0VL.
- UNEP-WCMC (2005). Global distribution of seagrasses - points dataset.
- Halpern, B.S., Walbridge S., Selkoe, K.A., Kappel, C.V., Micheli, F., D'Agrosa, C., Bruno, J.F., Casey, K.S., Ebert, C., Fox, H.E., Fujita, R., Heinemann, D., Lenihan, H.S., Madin, E.M.P., Perry, M.T., Selig, E.R., Spalding, M., Steneck, R., Watson, R. (2008) A global map of human impact on marine ecosystems. Science, 3199(5865): 948-952. doi:10.1126/science.1149345
- Burke, L., Reytar, K., Spalding, M., et al. (2011). Reefs at Risk Revisited. World Resources Institute, Washington, DC.
hab_health
Habitat health
metadata | value |
---|---|
filename | hab_health_gl2014.csv |
value units | proportion |
value range | 0.5 to 0.8875439 |
global extraction | equal: global habitat health was applied equally to all regions. |
Habitat health/condition
Data sources:
- FAO. (2007). The world's mangroves 1980-2005. FAO Forestry Paper 153.
- Bridgham, S. D. , Megonigal, J. P. , Keller, J. K., et al. (2006). The carbon balance of North American Wetlands. Wetlands 26: 889-916.
- Dahl, T. E. (2000). Status and trends of wetlands in the conterminous United States 1986 to 1997. U.S. Department of the Interior, Fish and Wildlife Service, Washington, D.C.
- Ministry for the Environment (2007). Environment New Zealand (http://www.mfe.govt.nz/sites/default/files/environment-nz07-dec07.pdf)
- Joint Nature Conservation Committee, JNCC. (2004). UK Lowland wetland habitats (http://jncc.defra.gov.uk/page-1433)
- European Environment Agency (2008).
- Cavalieri, D. J., Parkinson, C. L., Gloersen, P. and Zwally, H. (2014). Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS passive microwave data. 1979-2014. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center. http://dx.doi.org/10.5067/8GQ8LZQVL0VL.
- Waycott, M., Duarte, C. M., Carruthers, T. J. B., Orth, R. J. et al. (2009), Accelerating loss of seagrasses across the globe threatens coastal ecosystems. Proceedings of the National Academy of Sciences 106(30):12377-12381.
- Bruno, J. F. & Selig, E. R. (2007) Regional decline of coral cover in the Indo-Pacific: timing, extent, and subregional comparisons. PLoS ONE 2(8): e711. doi:10.1371/journal.pone.0000711
- Schutte, V. G. W., Selig, E. R. & Bruno, J. F. (2010). Regional spatio-temporal trends in Caribbean coral reef benthic communities. Marine Ecology Progress Series 402: 115â122.
hab_presence
Habitat presence
metadata | value |
---|---|
filename | hab_presence_gl2014.csv |
value units | boolean |
value range | 1 to 1 |
global extraction | equal: global pressures data were applied equally to all regions. |
Modeled combined habitat presence
hab_trend
Habitat health trend
metadata | value |
---|---|
filename | hab_trend_gl2014.csv |
value units | trend score |
value range | 0.01009577 to 0.01009577 |
global extraction | equal: global trends were applied equally to all regions. |
Habitat health trend
Data sources:
- Hamilton, S. & Casey, D. (2014). Creation of a high spatiotemporal resolution global database of continuous mangrove forest cover for the 21st Century (CGMFC-21): a big-data fusion approach. arXiv:1412.0722
- Bridgham, S. D. , Megonigal, J. P. , Keller, J. K., et al. (2006). The carbon balance of North American wetlands. Wetlands 26: 889-916.
- Dahl, T. E. (2000). Status and trends of wetlands in the conterminous United States 1986 to 1997. U.S. Department of the Interior, Fish and Wildlife Service, Washington, D.C.
- Ministry for the Environment (2007). Environment New Zealand (http://www.mfe.govt.nz/sites/default/files/environment-nz07-dec07.pdf)
- Joint Nature Conservation Committee, JNCC. (2004). UK Lowland wetland habitats (http://jncc.defra.gov.uk/page-1433)
- European Environment Agency (2008).
- Cavalieri, D. J., Parkinson, C. L., Gloersen, P. and Zwally, H. (2014). Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS passive microwave data. 1979-2014. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center (http://dx.doi.org/10.5067/8GQ8LZQVL0VL)
- Waycott, M., Duarte, C. M., Carruthers, T. J. B., Orth, R. J. et al. (2009). Accelerating loss of seagrasses across the globe threatens coastal ecosystems. Proceedings of the National Academy of Sciences 106(30):12377-12381.
- Bruno, J. F. & Selig, E. R. (2007) Regional decline of coral cover in the Indo-Pacific: timing, extent, and subregional comparisons. PLoS ONE 2(8): e711. doi:10.1371/journal.pone.0000711
- Schutte, V. G. W., Selig, E.R. & Bruno, J. F. (2010). Regional spatio-temporal trends in Caribbean coral reef benthic communities. Marine Ecology Progress Series 402: 115â122.
habitat
CBD survey: habitat
metadata | value |
---|---|
filename | habitat_gl2014.csv |
value units | resilience score |
value range | 0.7272727 to 0.7272727 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
habitat_combo
CBD survey: coastal habitat
metadata | value |
---|---|
filename | habitat_combo_gl2014.csv |
value units | resilience score |
value range | 0.8636364 to 0.8636364 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
habitat_combo_eez
CBD survey: ocean habitat
metadata | value |
---|---|
filename | habitat_combo_eez_gl2014.csv |
value units | resilience score |
value range | 0.8636364 to 0.8636364 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
hd_intertidal
Coastal population density as a proxy for intertidal habitat destruction
metadata | value |
---|---|
filename | hd_intertidal_sc2014-popn-inland25km.csv |
value units | pressure score |
value range | 0.162486 to 0.162486 |
global extraction | population_inland25km: global intertidal pressures were applied to each region after weighting by each region's coastal population. |
Coastal population, defined as the total population inland of 10 miles, extracted from Gridded Population of the World (GPW) Population Density Grid Future Estimates.
Data sources:
- Center for International Earth Science Information Network (CIESIN)/Columbia University
- CIESIN & CIAT (Center for International Earth Science Information Network (CIESIN)/Columbia University, & Centro Internacional de Agricultura Tropical (CIAT)) (2005). Gridded Population of the World, Version 3 (GPWv3): Population Density Grid, Future Estimates. Palisades, NY. NASA Socioeconomic Data and Applications Center (SEDAC)
- Halpern, B.S., Walbridge S., Selkoe, K.A., Kappel, C.V., Micheli, F., D'Agrosa, C., Bruno, J.F., Casey, K.S., Ebert, C., Fox, H.E., Fujita, R., Heinemann, D., Lenihan, H.S., Madin, E.M.P., Perry, M.T., Selig, E.R., Spalding, M., Steneck, R., Watson, R. (2008) A global map of human impact on marine ecosystems. Science, 3199(5865): 948-952. doi:10.1126/science.1149345
hd_subtidal_hb
High bycatch artisanal fishing practices as a proxy for subtidal hard bottom habitat destruction
metadata | value |
---|---|
filename | hd_subtidal_hb_gl2014.csv |
value units | pressure score |
value range | 0.03324169 to 0.03324169 |
global extraction | equal: global pressures data were applied equally to all regions. |
The presence of destructive artisanal blast fishing (Reefs at Risk Revisited).
Data sources:
hd_subtidal_sb
Demersal destructive commercial fishing practices relative to soft-bottom habitat area as a proxy for soft bottom habitat destruction
metadata | value |
---|---|
filename | hd_subtidal_sb_gl2014.csv |
value units | pressure score |
value range | 0.09950352 to 0.09950352 |
global extraction | equal: global pressures data were applied equally to all regions. |
Spatially distributed commercial catch data by fishing gear type, developed by Sea Around Us Project and habitat data.
Data sources:
ico_spp_extinction_status
IUCN extinction risk category for iconic species
metadata | value |
---|---|
filename | ico_spp_extinction_status_gl2014.csv |
value units | category |
value range | NA to NA |
global extraction | equal: global status was applied equally to all regions. |
International Union for Conservation of Nature (IUCN) Red List threat categories with aggregated species lists
Data sources:
ico_spp_popn_trend
IUCN population trend as a proxy for iconic species trend
metadata | value |
---|---|
filename | ico_spp_popn_trend_gl2014.csv |
value units | trend score |
value range | NA to NA |
global extraction | equal: global trends were applied equally to all regions. |
International Union for Conservation of Nature (IUCN) Red List threat categories with aggregated species lists
Data sources:
le_gdp
GDP
metadata | value |
---|---|
filename | le_gdp_sc2014-popn-inland25km.csv |
value units | 2010 USD |
value range | 6.00839e+11 to 1.59342e+12 |
global extraction | population_inland25km: global GDP data were applied to each region after weighting by each region's coastal population. |
Gross Domestic Product (GDP) data (reported in 2012 US dollars) from The World Bank.
Data sources:
le_jobs_sector_year
Jobs
metadata | value |
---|---|
filename | le_jobs_sector_year_gl2014.csv |
value units | jobs |
value range | 55.535 to 580182 |
global extraction | equal: global trends were applied equally to each region. |
gapfilled
le_popn
Total population by subregion
metadata | value |
---|---|
filename | le_popn_gl2014.csv |
value units | count |
value range | 30455000 to 46217961 |
global extraction | equal: |
Population data from The World Bank
le_sector_weight
Jobs weighting
metadata | value |
---|---|
filename | le_sector_weight_gl2014.csv |
value units | value |
value range | 1 to 1 |
global extraction | equal: |
Jobs weighting by sector (defaulting to 1)
le_unemployment
Unemployment
metadata | value |
---|---|
filename | le_unemployment_gl2014.csv |
value units | percent unemployed |
value range | 8.264574 to 18.58066 |
global extraction | equal: global unemployment percentages were applied equally to each region. |
gapfilled
le_wage_sector_year
Wages
metadata | value |
---|---|
filename | le_wage_sector_year_gl2014.csv |
value units | 2010 USD |
value range | 307.6993 to 110417.9 |
global extraction | equal: global wages were applied equally to each region. |
gapfilled
le_workforcesize_adj
Modeled Livelihoods & Economies data
metadata | value |
---|---|
filename | le_workforcesize_adj_sc2014-popn-inland25km.csv |
value units | jobs |
value range | 15813140 to 23280057 |
global extraction | population_inland25km: global workforce data were applied to each region after weighting by each region's coastal population. |
adjusted workforce size
li_gci
GCI: competitiveness in achieving sustained economic prosperity
metadata | value |
---|---|
filename | li_gci_gl2014.csv |
value units | resilience score |
value range | 0.6535278 to 0.6535278 |
global extraction | equal: global resilience data were applied equally to all regions. |
Global Competitiveness Index (GCI) scores from the World Economic Forum.
Data sources:
li_sector_evenness
Sector evenness as a measure of economic diversity
metadata | value |
---|---|
filename | li_sector_evenness_gl2014.csv |
value units | resilience score |
value range | 0.1246974 to 0.1246974 |
global extraction | equal: global resilience data were applied equally to all regions. |
Shannon's Diversity Index calculated sector evenness based on the total number of sectors and the proportion of jobs belonging to any sector.
lsp_prot_area_inland1km
Coastal protected areas inland 1km
metadata | value |
---|---|
filename | lsp_prot_area_inland1km_gl2014.csv |
value units | km^2 |
value range | 0 to 252.25 |
global extraction | raster |
Coastal protected areas inland to 1km from the UN WDPA.
Data sources:
- United Nations - World Conservation Monitoring Centreâs World Database on Protected Areas (WDPA) through Protected Planet
lsp_prot_area_offshore3nm
Coastal marine protected areas offshore 3km
metadata | value |
---|---|
filename | lsp_prot_area_offshore3nm_gl2014.csv |
value units | km^2 |
value range | 0 to 826.25 |
global extraction | raster |
Coastal protected areas offshore to 3nm from the UN WDPA.
Data sources:
- United Nations - World Conservation Monitoring Centreâs World Database on Protected Areas (WDPA) through Protected Planet
mar_coastalpopn_inland25km
Coastal population inland 25 kilometers
metadata | value |
---|---|
filename | mar_coastalpopn_inland25km_sc2014-raster.csv |
value units | people |
value range | 2600996 to 3032929 |
global extraction | raster: spatial data was extracted for each region. |
Coastal population, defined as the total population inland of 25 kilometers, extracted from Gridded Population of the World (GPW) Population Density Grid Future Estimates.
Data sources:
- CIESIN & CIAT (Center for International Earth Science Information Network /Columbia University & Centro Internacional de Agricultura Tropical) (2005). Gridded Population of the World, Version 3 (GPWv3): Population Density Grid, Future Estimates. Palisades, NY. NASA Socioeconomic Data and Applications Center (SEDAC)
mar_harvest_species
Mariculture species harvested
metadata | value |
---|---|
filename | mar_harvest_species_gl2014.csv |
value units | species name |
value range | NA to NA |
global extraction | equal: global mariculture species were applied equally to each region. |
Lookup table for mariculture: species Latin names and species code.
Data sources:
mar_harvest_tonnes
Mariculture harvest
metadata | value |
---|---|
filename | mar_harvest_tonnes_gl2014.csv |
value units | tons |
value range | 0 to 261969 |
global extraction | area_offshore_3nm: global mariculture harvest (tonnes) data were applied to each region after weighting by each region's offshore area to 3nm. |
Mariculture harvest from the FAO.
Data sources:
mar_sustainability_score
Mariculture sustainability score
metadata | value |
---|---|
filename | mar_sustainability_score_gl2014.csv |
value units | sustainability |
value range | 0.17 to 0.9 |
global extraction | equal: global mariculture sustainability scores were applied equally to each region. |
Mariculture sustainability and mariculture regulations indicated by the Mariculture Sustainability Index (MSI).
Data sources:
- Trujillo P. (2008). Using a mariculture sustainability index to rank countriesâ performances. In: A comparative assessment of biodiversity, fisheries and aquaculture in 53 countriesâ Exclusive Economic Zones, Alder J, Pauly D, editors. Fisheries Centre Research Report, vol. 16(7) p. 28â56.
mariculture
CBD survey: mariculture
metadata | value |
---|---|
filename | mariculture_gl2014.csv |
value units | resilience score |
value range | 0.9166667 to 0.9166667 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
msi_gov
MSI sustainability and regulations
metadata | value |
---|---|
filename | msi_gov_gl2014.csv |
value units | resilience score |
value range | 0.5454545 to 0.5454545 |
global extraction | equal: global resilience data were applied equally to all regions. |
Mariculture practice assessment criteria from the Mariculture Sustainability Index (MSI).
Data sources:
- Trujillo P. (2008). Using a mariculture sustainability index to rank countriesâ performances. In: A comparative assessment of biodiversity, fisheries and aquaculture in 53 countriesâ Exclusive Economic Zones, Alder J, Pauly D, editors. Fisheries Centre Research Report, vol. 16(7) p. 28â56.
np_blast
Areas of observed blast (dynamite) fishing
metadata | value |
---|---|
filename | np_blast_gl2014.csv |
value units | pressure score |
value range | 0.1821841 to 0.1821841 |
global extraction | equal: global scores were applied equally to each region. |
Destructive artisanal blast fishing (Reefs at Risk Revisited).
Data sources:
np_cyanide
Areas of observed poison fishing
metadata | value |
---|---|
filename | np_cyanide_gl2014.csv |
value units | pressure score |
value range | 0.1683349 to 0.1683349 |
global extraction | equal: global scores were applied equally to each region. |
Destructive artisanal poison (cyanide) fishing (Reefs at Risk Revisited).
Data sources:
np_harvest_product_weight
Product peak harvest divided by sum of all product peak harvest values, per region
metadata | value |
---|---|
filename | np_harvest_product_weight_gl2014.csv |
value units | proportion |
value range | 0 to 0.4402566 |
global extraction | equal: global weights were applied equally to each region. |
Ratio of harvest of of six marine products (coral, fish oil, seaweed and plants, shells, sponges, ornamental fish) from FAO.
Data sources:
np_harvest_tonnes
Harvest yield of marine natural products, smoothed
metadata | value |
---|---|
filename | np_harvest_tonnes_gl2014.csv |
value units | metric tonnes |
value range | 0 to 19295.55 |
global extraction | area_offshore_3nm: global harvest (tonnes) was applied to each region after weighting by each region's offshore area to 3nm. |
Yield in metric tonnes of six marine products (coral, fish oil, seaweed and plants, shells, sponges, ornamental fish) from FAO.
Data sources:
np_harvest_tonnes_relative
Harvest ratio to peak yield of marine natural products
metadata | value |
---|---|
filename | np_harvest_tonnes_relative_gl2014.csv |
value units | ratio |
value range | 0 to 1 |
global extraction | equal: global scores were applied equally to each region. |
Ratio to max yield (tonnes) of product peak for six marine products (coral, fish oil, seaweed and plants, shells, sponges, ornamental fish) from FAO.
Data sources:
po_chemicals
Chemical pollution
metadata | value |
---|---|
filename | po_chemicals_gl2014.csv |
value units | pressure score |
value range | 0.4403474 to 0.4403474 |
global extraction | raster: spatial data was extracted for each region. |
Modeled chemical pollution from commercial shipping traffic, ports and harbors, and pesticide use (Halpern et al. 2015).
Data sources:
- FAOâs statistical database FAOSTAT.
- Halpern, B. S. et al. (2015). Spatial and temporal changes in cumulative human impacts on the world's ocean. Nature Communications 6(7615). doi: 10.1038/ncomms8615
po_chemicals_3nm
Coastal chemical pollution within 3 nm offshore
metadata | value |
---|---|
filename | po_chemicals_3nm_gl2014.csv |
value units | pressure score |
value range | 0.7756213 to 0.7756213 |
global extraction | raster |
Modeled chemical pollution from commercial shipping traffic, ports and harbors, and pesticide use (Halpern et al. 2015), primarily land-based chemical pollution due to 3nm offshore buffer.
Data sources:
- FAOâs statistical database FAOSTAT.
- Halpern, B. S. et al. (2015). Spatial and temporal changes in cumulative human impacts on the world's ocean. Nature Communications 6(7615). doi: 10.1038/ncomms8615
po_nutrients
Fertilizer pollution as a proxy for nutrient pollution
metadata | value |
---|---|
filename | po_nutrients_gl2014.csv |
value units | pressure score |
value range | 0.0245402 to 0.0245402 |
global extraction | raster: spatial data was extracted for each region. |
Modeled data based on fertilizer consumption from the Food and Agricultural Organization (FAO, Halpern et al. 2015).
Data sources:
- FAOâs statistical database FAOSTAT.
- Halpern, B. S. et al. (2015). Spatial and temporal changes in cumulative human impacts on the world's ocean. Nature Communications 6(7615). doi: 10.1038/ncomms8615
po_nutrients_3nm
Coastal fertilizer pollution as a proxy for nutrient pollution within 3nm offshore
metadata | value |
---|---|
filename | po_nutrients_3nm_gl2014.csv |
value units | pressure score |
value range | 0.3240179 to 0.3240179 |
global extraction | raster |
Modeled data based on fertilizer consumption from the Food and Agricultural Organization (FAO, Halpern et al. 2015).
Data sources:
- FAOâs statistical database FAOSTAT.
- Halpern, B. S. et al. (2015). Spatial and temporal changes in cumulative human impacts on the world's ocean. Nature Communications 6(7615). doi: 10.1038/ncomms8615
po_pathogens
Access to improved sanitation as a proxy for pathogen pollution
metadata | value |
---|---|
filename | po_pathogens_gl2014.csv |
value units | pressure score |
value range | 0.02459102 to 0.02459102 |
global extraction | raster: spatial data was extracted for each region. |
Population without access to improved sanitation facilities.
Data sources:
po_trash
Trash pollution
metadata | value |
---|---|
filename | po_trash_gl2014.csv |
value units | pressure score |
value range | 0.5977061 to 0.5977061 |
global extraction | equal: global pressures data were applied equally to all regions. |
Global marine plastics (Eriksen et al. 2014)
Data sources:
- Eriksen M., Lebreton, L. C. M., Carson, H. S., Thiel, M., Moore, C. J. and Borerro, J. C. (2014). Plastic pollution in the worldâs oceans: more than 5 trillion plastic pieces weighing over 250,000 tons afloat at sea. PLoS ONE 9:e111913. doi:10.1371/journal.pone.0111913.
- J. Afflerbach et al. (2015). Methods
rgn_area
Region area of total EEZ ocean
metadata | value |
---|---|
filename | rgn_area_sc2014-area.csv |
value units | km^2 |
value range | 554722 to 554722 |
global extraction | raster: spatial data was extracted for each region. |
Area of Ocean Health Index regions based on exclusive economic zones (VLIZ 2012).
Data sources:
rgn_area_inland1km
Region area 1 km inland
metadata | value |
---|---|
filename | rgn_area_inland1km_gl2014.csv |
value units | km^2 |
value range | 3334.071 to 3334.071 |
global extraction | raster: spatial data was extracted for each region. |
inland area 1 km from shore.
rgn_area_offshore3nm
Region area offshore 3nm
metadata | value |
---|---|
filename | rgn_area_offshore3nm_gl2014.csv |
value units | km^2 |
value range | 18874.44 to 18874.44 |
global extraction | raster: spatial data was extracted for each region. |
Area of Ocean Health Index regions to 3nm (VLIZ 2012).
Data sources:
rgn_georegion_labels
Georegion labels per region, at 3 georegion levels
metadata | value |
---|---|
filename | rgn_georegion_labels_gl2014.csv |
value units | label |
value range | NA to NA |
global extraction | raster: spatial data was extracted for each region. |
Lookup table of Ocean Health Index regions and UN georegion names at 3 georegion levels.
Data sources:
rgn_georegions
Georegion ids per region, at 3 georegion levels
metadata | value |
---|---|
filename | rgn_georegions_gl2014.csv |
value units | georegion id |
value range | 1 to 150 |
global extraction | raster: spatial data was extracted for each region. |
Lookup table of Ocean Health Index regions and UN georegion identifiers at 3 georegion levels.
Data sources:
rgn_global
regions used in global analysis for Nature 2012, subset of regions_labels by type=eez and not deleted or disputed
metadata | value |
---|---|
filename | rgn_global_gl2014.csv |
value units | label |
value range | NA to NA |
global extraction | raster: spatial data was extracted for each region. |
Regions used in global analysis for Nature 2012, subset of regions_labels by type=eez and not deleted or disputed.
rgn_labels
regions by type (eez, subocean, unclaimed) and label
metadata | value |
---|---|
filename | rgn_labels.csv |
value units | label |
value range | NA to NA |
global extraction | raster: spatial data was extracted for each region. |
Ocean Health Index regions by type (eez, subocean, unclaimed) and label
sp_alien
Alien species
metadata | value |
---|---|
filename | sp_alien_gl2014.csv |
value units | pressure score |
value range | 0.06114795 to 0.06114795 |
global extraction | equal: global pressures data were applied equally to all regions. |
The number and type of invasive and harmful invasive species in each marine ecoregion (Molnar et al. 2008).
Data sources:
- Molnar, J. L., Gamboa, R. L., Revenga C., Spalding, M. (2008). Assessing the global threat of invasive species to marine biodiversity. Frontiers in Ecology and the Environment 6(485). doi:10.1890/070064
sp_genetic
Introduced species as a proxy for genetic escapes
metadata | value |
---|---|
filename | sp_genetic_gl2014.csv |
value units | pressure score |
value range | 0.5861412 to 0.5861412 |
global extraction | equal: global pressures data were applied equally to all regions. |
Statistics on native or introduced species from the Mariculture Sustainibility Index (MSI).
Data sources:
- Trujillo P. (2008). Using a mariculture sustainability index to rank countriesâ performances. In: A comparative assessment of biodiversity, fisheries and aquaculture in 53 countriesâ Exclusive Economic Zones, Alder J, Pauly D, editors. Fisheries Centre Research Report, vol. 16(7) p. 28â56.
species_diversity
Ocean ecological integrity
metadata | value |
---|---|
filename | species_diversity_gl2014.csv |
value units | resilience score |
value range | 0.860856 to 0.860856 |
global extraction | equal: global resilience data were applied equally to all regions. |
Marine species diversity as a proxy for ecological integrity: ocean (IUCN).
Data sources:
species_diversity_3nm
Coastal ecological integrity
metadata | value |
---|---|
filename | species_diversity_3nm_gl2014.csv |
value units | resilience score |
value range | 0.870254 to 0.870254 |
global extraction | equal: global resilience data were applied equally to all regions. |
Marine species diversity as a proxy for ecological integrity: coastal (IUCN).
Data sources:
spp_status
Species lists and IUCN threat categories as a proxy for iconic species status
metadata | value |
---|---|
filename | spp_status_gl2014.csv |
value units | status score |
value range | 0.860856 to 0.860856 |
global extraction | equal: global scores were applied equally to each region. |
International Union for Conservation of Nature (IUCN) Red List threat categories with aggregated species lists.
Data sources:
spp_trend
Species lists and IUCN threat categories as a proxy for iconic species trend
metadata | value |
---|---|
filename | spp_trend_gl2014.csv |
value units | trend score |
value range | -0.17826 to -0.17826 |
global extraction | equal: global trends were applied equally to each region. |
International Union for Conservation of Nature (IUCN) Red List threat categories with aggregated species lists.
Data sources:
ss_wgi
Weakness of governance indicated with the WGI
metadata | value |
---|---|
filename | ss_wgi_gl2014.csv |
value units | pressure score |
value range | 0.327629 to 0.327629 |
global extraction | equal: global pressures data were applied equally to all regions. |
Inverse of World Governance Indicators (WGI) six combined scores.
Data sources:
tourism
CBD survey: tourism
metadata | value |
---|---|
filename | tourism_gl2014.csv |
value units | resilience score |
value range | 0.7222222 to 0.7222222 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
tr_jobs_pct_tourism
Percent direct employment in tourism
metadata | value |
---|---|
filename | tr_jobs_pct_tourism_sc2014-popn-inland25km.csv |
value units | percent |
value range | 0.0454253 to 0.0579996 |
global extraction | population_inland25km: global tourism employee data were applied to each region after weighting by each region's coastal population. |
Percent direct employment in tourism (WTTC).
Data sources:
tr_jobs_total
Total labor force
metadata | value |
---|---|
filename | tr_jobs_total_sc2014-popn-inland25km.csv |
value units | people |
value range | 15813100 to 23559700 |
global extraction | population_inland25km: global total labor force data were applied to each region after weighting by each region's coastal population. |
Total labor force (number of people 15 years old and older who can supply labor for the production of goods and services) from World Bank assessments.
Data sources:
tr_jobs_tourism
Direct employment in tourism
metadata | value |
---|---|
filename | tr_jobs_tourism_sc2014-popn-inland25km.csv |
value units | jobs |
value range | 620555 to 1099370 |
global extraction | population_inland25km: global tourism employee data were applied to each region after weighting by each region's coastal population. |
Direct employment in tourism (WTTC).
Data sources:
tr_sustainability
Sustainability index
metadata | value |
---|---|
filename | tr_sustainability_gl2014.csv |
value units | score |
value range | 5.38 to 5.38 |
global extraction | equal : global scores were applied equally to each region. |
Tourism Competitiveness Index (TTCI) from the World Economic Forum
Data sources:
tr_travelwarnings
Travel warnings
metadata | value |
---|---|
filename | tr_travelwarnings_gl2014.csv |
value units | score |
value range | 0.1 to 0.1 |
global extraction | : |
Countries with US State Department travel warnings.
Data sources:
tr_unemployment
Percent unemployment
metadata | value |
---|---|
filename | tr_unemployment_gl2014.csv |
value units | percent |
value range | 0.084 to 0.266 |
global extraction | equal: global unemployment percentages were applied equally to each region. |
Percent unemployment (The World Bank).
Data sources:
water
CBD survey: water
metadata | value |
---|---|
filename | water_gl2014.csv |
value units | resilience score |
value range | 1 to 1 |
global extraction | equal: global resilience data were applied equally to all regions. |
Survey responses by country to the Convention on Biological Diversity (CBD) Third National Report (2005)
Data sources:
wgi_all
Strength of governance indicated with the WGI
metadata | value |
---|---|
filename | wgi_all_gl2014.csv |
value units | resilience score |
value range | 0.672371 to 0.672371 |
global extraction | equal: global resilience data were applied equally to all regions. |
World Governance Indicators (WGI) six combined scores.
Data sources: