Name: Modelled Expenditure for On-Reef Activities per Year ($USD)
Display Field: Id
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Mapped estimates of the annual dollar expenditure of coral reefs to the tourism sector from on-reef tourism activities such as snorkelling and SCUBA. Values were assigned based on reef-use intensity determined by proximity to dive sites and underwater photography. Values are expressed in $USD.
Name: Total Visitation Value for on-Reef Activities per Year (# of people)
Display Field: Id
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Mapped estimates of the annual visitor numbers which can be attributed to on-reef activities such as snorkelling and SCUBA. Values were assigned geographically based on reef use intensity determined by proximity to dive sites and underwater photography. Values are expressed in visitor numbers/ha, representing the additionality of tourists who are present in the county because of these activities.
Name: Modelled visitation value of nature-dependent beach tourism (per ha)
Display Field: Id
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Mapped estimates of the annual dollar expenditure of which can be assigned to natural elements of the beach to the tourism sector. Natural importance was assigned based on the numbers and locations of photos with visual signatures of natural value (e.g., clear water, white sand, vegetation, and forested hills). Values are expressed in $USD.
Name: Estimated Annual Visitation from Beaches Linked to Natural Values (# of people)
Display Field: Id
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Mapped estimates of the annual visitor numbers who are present due to the natural values of the beach. Natural importance was assigned based on the numbers and locations of photos with visual signatures of natural value (e.g., clear water, white sand, vegetation and forested hills). Values are expressed in visitor numbers/ha, representing the additionality of tourists who are present in a country because of these natural values.
Description: This data layer depicts the offshore footprint and intensity associated with chartered fishing trips using a combination of image analysis applied to crowd-sourced data from Flickr and TripAdvisor, complemented by participatory mapping and survey data from charter vessel operators, as well as other stakeholder-provided information and guidance.
Description: Estimated cumulative fishing impact calculated based on parrotfish mean size. Values scaled from 0 (no fishing) to 1 (highest fishing). Impact values are relative to the fishing impact across the entire study region (Anguilla to Grenada).
Description: Predicted current total biomass of snapper-grouper complex, derived from models and originally informed by and documented by fisheries independent visual surveys.
Description: Predicted current total biomass of parrotfish, derived from models and originally informed by and documented by fisheries independent visual surveys.
Description: Predicted current total biomass (parrotfish, snapper-grouper complex, and all AGRRA species) derived from models and originally informed by as documented by fisheries independent visual surveys.
Description: The expected percent increase in snapper-grouper fish stocks if fishing were reduced to 0 in each 1 ha cell. This could be through a marine reserve or some other fisheries management measure.
Description: Estimate of the importance of each grid cell unit to birdwatching based on the species importance score of birds seen in this area (based on eBird observation data). The species importance score is a sum of 4 metrics applied to each species (endemism, threat status, rarity, and charisma); this score is multipled by the number of observations of this species, and weighted observations for all species are summed within a grid cell.
Description: This dataset depicts the offshore footprint and intensity associated with whale and dolphin watching tours using a combination of image and textanalysis applied to crowd-sourced data from Flickr and TripAdvisor, complemented by participatory mapping and survey data from charter vessel operators, as well as other stakeholder-provided information and guidance.