Intensive open fish farming systems final location: Nile Tilapia (the Republic of the Congo - ~1km)

Vector dataset representing top score, optimal/recommended locations, for Nile tilapia cage farming systems in the Democratic Republic of the Congo. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multi-criteria Evaluation suitability assessment. Intensive systems are characterized by high fish densities and the use of artificial feed. Recommended locations require the presence of permanent waters with a surface area larger than 5 acres. The score is determined by processing outputs from sub-models that describe biophysical, infrastructure, and demand factors: Criteria considered: a. Market accessibility, considering the weighted population and AWI in urban areas. b. Crop input the availability of agricultural by-products. c. Livestock input - based on the weighted animal density aggregation. d. Accessibility to ports - high-quality tilapia feed is often imported in large quantities. e. Potential yield of tilapia. The score is calculated as a simple arithmetic weighted sum of normalized or scaled grids, theoretically ranging from 0 to 100: (“Accessibility MajorUrbanAreas” X 0.40) + (“CropsInput” X 0.15) + (“LivestockInput” X 0.15) + (Accessibility to ports x 0.15) + (Tilapia Yield x 0.15) **Data creation:** 2023-11-27 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** Data sources, FAO Hand-in-Hand Geospatial Platform and OpenStreetMap (open data) including the following datasets: a. Market Accessibility (urban areas) - OpenStreetMap and Atlas AI - Population Density (Africa, 2020) - Estimated total number of people per grid-cell 1km. (Urban areas = pop density>1500 habitants/km² AND area>25km²) b. Water Balance: WaPOR (https://wapor.apps.fao.org/catalog/2) precipitation and evapotranspiration monthly time-series from 2009 to 2020 for calculating a mean water balance layer modelling values: (Precipitation X 1.1) - (evapotranspiration X 1.3) c. Input crops - IFPRI Global Spatially-Disaggregated Crop Production Statistics Data for 2017 (MAPSPAM) - https://data.apps.fao.org/map/catalog/srv/metadata/59f7a5ef-2be4-43ee-9600-a6a9e9ff562a d. Input livestock – GLW4 (https://data.apps.fao.org/catalog/iso/15f8c56c-5499-45d5-bd89-59ef6c026704) : weighted animal density aggregate **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:**

Vector dataset representing top score, optimal/recommended locations, for Nile tilapia cage farming systems in the Republic of Zambia. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multi-criteria Evaluation suitability assessment. Intensive systems are characterized by high fish densities and the use of artificial feed. Recommended locations require the presence of permanent waters with a surface area larger than 5 acres. The score is determined by processing outputs from sub-models that describe biophysical, infrastructure, and demand factors: Criteria considered: a. Market accessibility, considering the weighted population and AWI in urban areas. b. Crop input the availability of agricultural by-products. c. Livestock input - based on the weighted animal density aggregation. d. Accessibility to ports - high-quality tilapia feed is often imported in large quantities. e. Potential yield of tilapia. The score is calculated as a simple arithmetic weighted sum of normalized or scaled grids, theoretically ranging from 0 to 100: (“Accessibility MajorUrbanAreas” X 0.40) + (“CropsInput” X 0.15) + (“LivestockInput” X 0.15) + (Tilapia Yield x 0.25) **Data publication:** 2024-08-06 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** Data sources, FAO Hand-in-Hand Geospatial Platform and OpenStreetMap (open data) including the following datasets: a. Market Accessibility (urban areas) - OpenStreetMap and Atlas AI - Population Density (Africa, 2020) - Estimated total number of people per grid-cell 1km. (Urban areas = pop density>1500 habitants/km² AND area>25km²) b. Water Balance: WaPOR (https://wapor.apps.fao.org/catalog/2) precipitation and evapotranspiration monthly time-series from 2009 to 2020 for calculating a mean water balance layer modelling values: (Precipitation X 1.1) - (evapotranspiration X 1.3) c. Input crops - IFPRI Global Spatially-Disaggregated Crop Production Statistics Data for 2017 (MAPSPAM) - https://data.apps.fao.org/map/catalog/srv/metadata/59f7a5ef-2be4-43ee-9600-a6a9e9ff562a d. Input livestock – GLW4 (https://data.apps.fao.org/catalog/iso/15f8c56c-5499-45d5-bd89-59ef6c026704) : weighted animal density aggregate **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:**

Vector dataset representing top score, optimal/recommended locations, for Nile tilapia cage farming systems in the Gabonese Republic. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multi-criteria Evaluation suitability assessment. Intensive systems are characterized by high fish densities and the use of artificial feed. Recommended locations require the presence of permanent waters with a surface area larger than 5 acres. The score is determined by processing outputs from sub-models that describe biophysical, infrastructure, and demand factors: Criteria considered: a. Market accessibility - population and asset wealth index in urban areas. b. Crop input - availability of agricultural by-products. c. Livestock input - based on the weighted animal density aggregation. The score is calculated as a simple arithmetic weighted sum of normalized or scaled grids, theoretically ranging from 0 to 100: (“Accessibility MajorUrbanAreas” X 0.50) + (“CropsInput” X 0.25) + (“LivestockInput” X 0.25) **Data creation:** 2025-04-15 **Data publication:** 2025-06-13 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** lineage statement Data sources, FAO Hand-in-Hand Geospatial Platform and OpenStreetMap (open data) including the following datasets a. Market Accessibility (urban areas) - OpenStreetMap and Atlas AI - Population Density (Africa, 2020) - Estimated total number of people per grid-cell 1km. (Urban areas = pop density>1500 habitants/km² AND area>25km² b. Input crops - IFPRI Global Spatially-Disaggregated Crop Production Statistics Data for 2017 (MAPSPAM c. Input livestock – GLW4 : weighted animal density aggregate d. Global Surface Water 1984-2021 (European Commission Joint Research Centre **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:**

Vector dataset representing optimal and recommended locations for cage farming systems in the Republic of Côte d'Ivoire, based on top suitability scores classified into two percentile ranges: 50th–70th and above the 70th percentile. Produced under FAO’s Hand-in-Hand Initiative using Geographical Information Systems (GIS) and Multi-Criteria Evaluation (MCE) suitability assessments. Intensive systems are characterized by high fish densities and the use of artificial feed. Considered locations for cage systems require permanent waters with a minimum surface of 5 acres. The score is determined by processing outputs from sub-models that describe biophysical, infrastructure, and demand factors: Criteria considered: a. Market accessibility - population and asset wealth index in urban areas. b. Crop input - availability of agricultural by-products. c. Livestock input - based on the weighted animal density aggregation. The score is calculated as a simple arithmetic weighted sum of normalized or scaled grids, theoretically ranging from 0 to 100: (“Accessibility MajorUrbanAreas” X 0.50) + (“CropsInput” X 0.25) + (“LivestockInput” X 0.25) **Data creation:** 2025-12-15 **Data publication:** 2026-01-13 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** Data sources, FAO Hand-in-Hand Geospatial Platform and OpenStreetMap (open data) including the following datasets: a. Market Accessibility (urban areas) - OpenStreetMap and Atlas AI - Population Density (Africa, 2020) - Estimated total number of people per grid-cell 1km. (Urban areas = pop density>1500 habitants/km² AND area>25km²) b. Input crops - IFPRI Global Spatially-Disaggregated Crop Production Statistics Data for 2017 (MAPSPAM) - https://data.apps.fao.org/map/catalog/srv/metadata/59f7a5ef-2be4-43ee-9600-a6a9e9ff562a c. Input livestock – GLW4 (https://data.apps.fao.org/catalog/iso/15f8c56c-5499-45d5-bd89-59ef6c026704) : weighted animal density aggregate d. Global Surface Water 1984-2021 (European Commission Joint Research Centre) https://global-surface-water.appspot.com/ **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:**

Vector dataset representing top score, optimal/recommended locations, for cage farming systems in the Republic of Benin. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multi-criteria Evaluation suitability assessment. Intensive systems are characterized by high fish densities and the use of artificial feed. Considered locations for cage systems require permanent waters with a minimum surface of 5 acres. The score is determined by processing outputs from sub-models that describe biophysical, infrastructure, and demand factors: Criteria considered: a. Market accessibility - population and asset wealth index in urban areas. b. Crop input - availability of agricultural by-products. c. Livestock input - based on the weighted animal density aggregation. The score is calculated as a simple arithmetic weighted sum of normalized or scaled grids, theoretically ranging from 0 to 100: (“Accessibility MajorUrbanAreas” X 0.50) + (“CropsInput” X 0.25) + (“LivestockInput” X 0.25) **Data creation:** 2025-04-15 **Data publication:** 2025-07-25 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** lineage statement Data sources, FAO Hand-in-Hand Geospatial Platform and OpenStreetMap (open data) including the following datasets a. Market Accessibility (urban areas) - OpenStreetMap and Atlas AI - Population Density (Africa, 2020) - Estimated total number of people per grid-cell 1km. (Urban areas = pop density>1500 habitants/km² AND area>25km² b. Input crops - IFPRI Global Spatially-Disaggregated Crop Production Statistics Data for 2017 (MAPSPAM c. Input livestock – GLW4 : weighted animal density aggregate d. Global Surface Water 1984-2021 (European Commission Joint Research Centre **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:**

Vector polygon geometry features representing zones with high potential for intensive tilapia farming using cages in water bodies. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multi-criteria Decision Analysis (GIS-MCDA) suitability assessment. Intensive systems are characterized by high densities and artificial feed input. The score is achieved by processing sub-model outputs characterizing biophysical, infrastructure, and demand factors Criteria: a. Market accessibility (large urban areas). b. Crop input (CropAggGAEZ) availability of agricultural by-products. c. Livestock input (weighted animal density aggregation) availability of livestock byproducts. d. Accessibility to ports - considers that high quality/performance tilapia feed is still imported. e. Tilapia potential yield. The location score is a simple arithmetic weighted sum of normalized/scaled grids (0 to 100): (“Accessibility MajorUrbanAreas” X 0.40) + (“CropsInput” X 0.15) + (“LivestockInput” X 0.15) + ("Accessibility Ports" X 0.15) + (Tilapia Yield x 0.15) Constraints: a. Protected areas. The Global Surface Water seasonality (seasonality = 12 months) to identify permanent water. Based on the literature the minimum area considered for tilapia cage farming is 5 acres. The final zoning follows the approach: 1. Clipping - Location score mapping is clipped using a 1km buffer from permanent waters with >5ac area polygon layer. 2. Zonal statistics extracted with the maximum (max) score value from the grid layer to the buffer layer polygons. 3. The polygons are selected and displayed for the top 95th percentile.