Offshore Mariculture Suitability for Yellowfin Tuna - São Tomé and Príncipe

This vector dataset represents suitable areas for offshore mariculture of yellowfin tuna (thunnus albacares) in São Tomé and Príncipe, produced in 2022 under the scope of the Hand-in-Hand initiative, using publicly accessible data.

The geospatial analysis adopts Kapetsky and Aguilar-Manjarrez study (Kapetsky et al., 2013(*)) methodology, where suitability is estimated based on the assumptions:

  1. Activity develops within the exclusive economic zones (EEZs).

  2. Uses cages for fish.

  3. Employs species with proven mariculture technologies and established markets or identified as having good prospects for future development.

Analytical criteria and thresholds are defined based on technical limits on cages, cost-effective farming, and species habitat:

  1. Depths (25–100 m).

  2. Current speeds (10–100 cm/s).

  3. Cost limits on distance from shore to offshore installations (25 nm (46.3 km)).

  4. Reliable access to a port.

  5. Habitat yellowfin tuna (thunnus albacares).

(*) Kapetsky, J. M., Aguilar-Majarrez, J., & Jenness, J. (2013). A global assessment of offshore mariculture potential from a spatial perspective. In FAO Fisheries and Aquaculture Technical Paper (Issue No. 549, pp. 0–181). Food and Agriculture Organization of the United Nations.

Data creation: 2022-08-05

Contact points:

Metadata Contact: FAO-Data

Data lineage:

The assessment analysis is developed using publicly accessible data. FAO Map Catalogue data:

  1. FAO aquatic species distribution map of thunnus albacares (yellowfin tuna): https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/fao-species-map-sbg

  2. Regions with HYCOM current speeds at 30m depth between 1 - 10, 10 - 100 and > 100 cm/s for all months in the year - Based on HYCOM NCODA (HYbrid Coordinate Ocean Model (HYCOM) and Navy Coupled Ocean Data Assimilation (NCODA)) 8.9 km 2004-2008: https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/73fee8e5-fcb6-47ad-bef0-365f8bd0368b

  3. Sea Ports - https://www.searates.com/maritime/sao_tome_and_principe

  4. EEZ - VLIZ Flanders Maritime Institute - Maritime boundaries geodatabase version 5 (2009): http://www.vliz.be/vmdcdata/marbound/download.php

  5. Bathymetry – GEBCO – General Bathymetric Chart of the oceans - Gridded bathymetric data sets are global terrain models for ocean and land 2021 https://download.gebco.net/

Online resources:

Zipped raster TIF file for Offshore Mariculture Suitability for Yellowfin Tuna - São Tomé and Príncipe

Data and Resources

Offshore Mariculture Suitability for Yellowfin Tuna - São Tomé and Príncipe

Metadata:

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dataIdentification
abstract
This vector dataset represents suitable areas for offshore mariculture of yellowfin tuna (thunnus albacares) in São Tomé and Príncipe, produced in 2022 under the scope of the Hand-in-Hand initiative, using publicly accessible data. The geospatial analysis adopts Kapetsky and Aguilar-Manjarrez study (Kapetsky et al., 2013(*)) methodology, where suitability is estimated based on the assumptions: 1. Activity develops within the exclusive economic zones (EEZs). 2. Uses cages for fish. 3. Employs species with proven mariculture technologies and established markets or identified as having good prospects for future development. Analytical criteria and thresholds are defined based on technical limits on cages, cost-effective farming, and species habitat: 1. Depths (25–100 m). 2. Current speeds (10–100 cm/s). 3. Cost limits on distance from shore to offshore installations (25 nm (46.3 km)). 4. Reliable access to a port. 5. Habitat yellowfin tuna (thunnus albacares). (*) Kapetsky, J. M., Aguilar-Majarrez, J., & Jenness, J. (2013). A global assessment of offshore mariculture potential from a spatial perspective. In FAO Fisheries and Aquaculture Technical Paper (Issue No. 549, pp. 0–181). Food and Agriculture Organization of the United Nations.
citation
dates
  • date
    2022-08-05
    dateType
    creation
title
Offshore Mariculture Suitability for Yellowfin Tuna - São Tomé and Príncipe
descriptiveKeywords
  • keywords
    • Africa
    • Gulf of Guinea
    type
    place
  • keywords
    • Aquaculture
    • Fish farming
    • fisheries
    type
    theme
purpose
Hand-in-Hand Initiative geospatial modelling and analytics target location and suitability assessment for investment opportunities and interventions aiming at contributing to eradicating poverty (SDG1), ending hunger and malnutrition (SDG2), and reducing inequalities (SDG10).
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  • oceans
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  • https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/fao-species-map-yft
  • https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/73fee8e5-fcb6-47ad-bef0-365f8bd0368b
  • https://data.apps.fao.org/?share=f-e0d90630-141c-4854-a49c-86113d050bef
statement
The assessment analysis is developed using publicly accessible data. FAO Map Catalogue data: 1. FAO aquatic species distribution map of thunnus albacares (yellowfin tuna): https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/fao-species-map-sbg 2. Regions with HYCOM current speeds at 30m depth between 1 - 10, 10 - 100 and > 100 cm/s for all months in the year - Based on HYCOM NCODA (HYbrid Coordinate Ocean Model (HYCOM) and Navy Coupled Ocean Data Assimilation (NCODA)) 8.9 km 2004-2008: https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/73fee8e5-fcb6-47ad-bef0-365f8bd0368b 3. Sea Ports - https://www.searates.com/maritime/sao_tome_and_principe 4. EEZ - VLIZ Flanders Maritime Institute - Maritime boundaries geodatabase version 5 (2009): http://www.vliz.be/vmdcdata/marbound/download.php 5. Bathymetry – GEBCO – General Bathymetric Chart of the oceans - Gridded bathymetric data sets are global terrain models for ocean and land 2021 https://download.gebco.net/
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dataset
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  • name
    SHP
fileIdentifier
e36cdb9a-439f-4510-8c4a-b90073d36938
metadataStandardName
ISO 19115:2003/19139
metadataStandardVersion
1

Options:

cloned
True
cloned_on
2022-08-05T17:46:51.229753
source_url
https://data.apps.fao.org/catalog/dataset/f45a13e5-8c61-4e7d-93c8-0ad541535483
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Type:

iso

Additional Info

Field Value
Source Source URL
Last Updated August 15, 2022, 14:39 (UTC)
Created August 5, 2022, 17:46 (UTC)