Intensive closed fish farming systems location score: African Catfish (Nigeria - ~1km)

Raster representing final recommended locations for intensive, closed, and semi-closed catfish farming systems using ponds, tanks, RAS, flow through and recirculation in Nigeria. The dataset is produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. Intensive aquaculture is characterized by high densities and artificial feed input. Closed or semi-closed techniques are less dependent on natural or physical geographical criteria. Require less water since it reuses/recirculates, can be placed indoors or in compounds, and are produced with artificial materials. The score is achieved by processing sub-model outputs characterizing natural geography, infrastructure, and demand factors: Considered criteria. a. Market accessibility - major urban areas. b. Water Balance - precipitation/evapotranspiration. c. Inputs - Crop and livestock d. Slope - terrain suitability. e. Farm-gate sales - based on population density classification. The location score consists of a simple arithmetic weighted sum of normalized/scaled grids, theoretically varying from 0 to 100: (“Accessibility MajorUrbanAreas” X 0.5) + ("WaterBalance" X 0.2) + (“CropsInput” X 0.1) + (“LivestockInput” X 0.10) + ("Slope " X 0.05) + (”FarmgateSales” X 0.05) Final location mapping applies constraints and exclusive criteria, are selected considering the top 95th percentile, and the resulting raster is classified in 3 equal intervals. Applied constraints and exclusive criteria are: a. Urban areas b. Protected areas c. Dams and Large Water Bodies. a. Mobile broadband coverage b. Maximum distance to major roads (~2km: 0.018 degree) **Data publication:** 2021-11-11 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) Distributor: [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 Human Population Density 2020 WorldPop2020 (Urban areas = pop density>1600 habitants/km² AND area>50km² b. Farm-gate sales Human Population Density 2020 – WorldPop2020 Class 4 - Very suitable: 150-300 h/km² Class 3 – Moderately suitable: 25-149 [h/km² Class 2 – Marginally suitable: 1-24 [h/km² Class 1 – Unsuitable: 300 [h/km² c. Water Balance: WaPOR precipitation and evapotranspiration monthly time-series from 2009 to 2020 for calculating a mean water balance layer modelling values: (Precipitation *1.1) - (evapotranspiration*1.3 d. Slope - terrain suitability - Watershed DEM 30s, classification. Class 4 - Very suitable: 8 e. Input crops GAEZ (CropAggGAEZ). f. Input livestock – GLW: weighted animal density aggregate g. Urban areas = pop density>1600 habitants/km² AND area>50km² - Human Population Density 2020 – WorldPop2020 h. Protected areas - UNEP-WCMC and IUCN (2021), Protected Planet. i. Mobile broadband connectivity – Mobile Broadband Coverage 2021 - Collins Bartholomew Mobile Coverage Explorer derived. **Resource constraints:** This work is made available under the [Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Download raster (TIF) for intensive closed/semi-closed catfish farming systems in Nigeria.

Raster representing a location score for intensive, closed, and semi-closed catfish farming systems using photovoltaic (PV) alternative energy, using ponds, tanks, RAS, flow through and recirculation in Nigeria. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. Intensive aquaculture is characterized by high densities and artificial feed input. Closed or semi-closed techniques are less dependent on natural or physical geographical criteria. Require less water since it reuses/recirculates, can be placed indoors or in compounds, and are produced with artificial materials. Adoption is limited by poor and unreliable energy distribution networks, PV potential is introduced as an intensification criterion, to supply operational needs (pumps, aerators). The score is achieved by processing sub-model outputs characterizing natural geography, infrastructure, and demand factors: Considered criteria. a. Market accessibility - major urban areas. b. Water Balance - precipitation/evapotranspiration. c. Inputs - Crop and livestock d. Slope - terrain suitability. e. Farm-gate sales - based on population density classification. f. Photovoltaic (PV) energy potential. The location score consists of a simple arithmetic weighted sum of normalized/scaled grids, theoretically varying from 0 to 100: (“Accessibility MajorUrbanAreas” X 0.5) + (“PVPotential” X 0.15) + (“CropsInput” X 0.1) + (“LivestockInput” X 0.10) + ("Slope " X 0.05) + (”FarmgateSales” X 0.05) ("WaterBalance" X 0.2) **Data publication:** 2021-11-08 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) Distributor: [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 Human Population Density 2020 WorldPop2020 (Urban areas = pop density>1600 habitants/km² AND area>50km²) b. Farm-gate sales Human Population Density 2020 – WorldPop2020: Class 4 - Very suitable: 150-300 [h/km²] Class 3 – Moderately suitable: 25-149 [h/km²] Class 2 – Marginally suitable: 1-24 [h/km²] Class 1 – Unsuitable: 300 [h/km²] c. Water Balance: WaPOR precipitation and evapotranspiration monthly time-series from 2009 to 2020 for calculating a mean water balance layer modelling values: (Precipitation *1.1) - (evapotranspiration*1.3) d. Slope - terrain suitability - Watershed DEM 30s, classification. Class 4 - Very suitable: 8 e. Input crops GAEZ (CropAggGAEZ). f. Input livestock – GLW: weighted animal density aggregate g. Urban areas = pop density>1600 habitants/km² AND area>50km² - Human Population Density 2020 – WorldPop2020 h. World Bank: World - Photovoltaic Power Potential (PVOUT) GIS Data, (Global Solar Atlas) **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Download raster TIF location score for intensive closed/semi-closed catfish farming systems, using photovoltaic power in Nigeria.

Raster representing potential/suitability score for non-intensive and integrated, small-scale, African Catfish and Nile Tilapia, freshwater fish farming systems, using ponds and small water bodies (SWB) in Nigeria. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. Non-intensive aquaculture systems are considered based on natural food supply from SWB or ponds, from integrated systems (crop/livestock byproducts or waste), or with complementary feeding resourcing to on-farm or locally produced feed. The score results from combining sub-model outputs that characterize natural geographical and economical factors: 1. farm-gate sales - based on population density classification 2. Water balance - precipitation/evapotranspiration 3. Soil/slope suitability. 4. Inputs - Crop and livestock byproducts It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("WaterBalance" X 0.5) + ("Soil/Slope " X 0.25) + (“Byproducts” X 0.125) + (”FarmgateSales” X 0.125) **Data publication:** 2021-11-01 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) Distributor: [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 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. * Farm-gate sales Class 4 - Very suitable: 150-300 h/km² Class 3 – Moderately suitable: 25-149 [h/km² Class 2 – Marginally suitable: 1-24 [h/km² Class 1 – Unsuitable: 300 [h/km² 2. WaPOR_2 * Water Balance: precipitation and evapotranspiration monthly time-series (2009 to 2020) mean water balance modelling values: (Precipitation *1.1) - (evapotranspiration*1.3 3. Soil/Slope - (1.5X soils) + Slope. Soil data from FAO (soil suitability for ponds), slope Watershed DEM 30s classification. Class 4 - Very suitable: 8 4. GAEZ v4 Theme 5: Actual Yield and Production - Major crops aggregate production selected using FAOSTAT average 2015/2019 - Cassava, Yams, Maize, Oil palm fruit, Rice ,Vegetables, Sorghum. 5. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 2010) - Chicken and duck. **Resource constraints:** This work is made available under the [Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Download Raster TIF for non-intensive fish farming systems location score in Nigeria.

Raster representing a location score for intensive, closed, and semi-closed catfish farming systems using photovoltaic (PV) alternative energy, using ponds, tanks, RAS, flow through and recirculation in Nigeria. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. Intensive aquaculture is characterized by high densities and artificial feed input. Closed or semi-closed techniques are less dependent on natural or physical geographical criteria. Require less water since it reuses/recirculates, can be placed indoors or in compounds, and are produced with artificial materials. Adoption is limited by poor and unreliable energy distribution networks, PV potential is introduced as an intensification criterion, to supply operational needs (pumps, aerators). The score is achieved by processing sub-model outputs characterizing natural geography, infrastructure, and demand factors: Considered criteria. a. Market accessibility - major urban areas. b. Water Balance - precipitation/evapotranspiration. c. Inputs - Crop and livestock d. Slope - terrain suitability. e. Farm-gate sales - based on population density classification. f. Photovoltaic (PV) energy potential. The location score consists of a simple arithmetic weighted sum of normalized/scaled grids, theoretically varying from 0 to 100: (“Accessibility MajorUrbanAreas” X 0.5) + (“PVPotential” X 0.15) + (“CropsInput” X 0.1) + (“LivestockInput” X 0.10) + ("Slope " X 0.05) + (”FarmgateSales” X 0.05) ("WaterBalance" X 0.2) Final location mapping applies constraints and exclusive criteria, are selected considering the top 95th percentile, and the resulting raster is classified in 3 equal intervals. Applied constraints and exclusive criteria are: a. Urban areas b. Protected areas c. Dams and Large Water Bodies. a. Mobile broadband coverage b. Maximum distance to major roads (~2km: 0.018 degree) **Data publication:** 2021-11-11 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) Distributor: [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 Human Population Density 2020 WorldPop2020 (Urban areas = pop density>1600 habitants/km² AND area>50km² b. Farm-gate sales Human Population Density 2020 – WorldPop2020 Class 4 - Very suitable: 150-300 h/km² Class 3 – Moderately suitable: 25-149 [h/km² Class 2 – Marginally suitable: 1-24 [h/km² Class 1 – Unsuitable: 300 [h/km² c. Water Balance: WaPOR precipitation and evapotranspiration monthly time-series from 2009 to 2020 for calculating a mean water balance layer modelling values: (Precipitation *1.1) - (evapotranspiration*1.3 d. Slope - terrain suitability - Watershed DEM 30s, classification. Class 4 - Very suitable: 8 e. Input crops GAEZ (CropAggGAEZ). f. Input livestock – GLW: weighted animal density aggregate g. Urban areas = pop density>1600 habitants/km² AND area>50km² - Human Population Density 2020 – WorldPop2020 h. World Bank: World - Photovoltaic Power Potential (PVOUT) GIS Data, (Global Solar Atlas i. Protected areas - UNEP-WCMC and IUCN (2021), Protected Planet. j. Mobile broadband connectivity – Mobile Broadband Coverage 2021 - Collins Bartholomew Mobile Coverage Explorer derived. **Resource constraints:** This work is made available under the [Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Download raster TIF for final location, intensive closed/semi-closed catfish farming systems using photovoltaic power in Nigeria,

Vector map representing potential/suitability score state average, for non-intensive and integrated, small-scale, African Catfish and Nile Tilapia, freshwater fish farming systems using ponds and small water bodies (SWB) in Nigeria. The dataset is produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. Non-intensive aquaculture systems are considered based on natural food supply from SWB or ponds, from integrated systems (crop/livestock byproducts or waste), or with complementary feeding resourcing to on-farm or locally produced feed. The score results from combining sub-model outputs that characterize natural geographical and economical factors: 1. farm-gate sales - based on population density classification 2. Water balance - precipitation/evapotranspiration 3. Soil/slope suitability. 4. Inputs - Crop and livestock byproducts Considered constraints or exclusive criteria are: 1. Urban areas 2. Protected areas It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("WaterBalance" X 0.5) + ("Soil/Slope " X 0.25) + (“Byproducts” X 0.125) + (”FarmgateSales” X 0.125) **Data publication:** 2021-11-08 **Contact points:** Metadata Contact: [FAO-DATA](mailto:FAO-Data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:nelson.rosasribeirofilho@fao.org) Distributor: [Nelson Ribeiro](mailto:nelson.rosasribeirofilho@fao.org) **Data lineage:** lineage statement Lineage Data sources, FAO Hand-in-Hand Geospatial Platform and OpenStreetMap (open data) including the following datasets 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. * Farm-gate sales Class 4 - Very suitable: 150-300 [h/km² Class 3 – Moderately suitable: 25-149 [h/km² Class 2 – Marginally suitable: 1-24 [h/km² Class 1 – Unsuitable: 300 [h/km² * constraint 'urban areas' = pop density>1600 habitants/km² AND area>50km² 2. WaPOR_2 * Water Balance: precipitation and evapotranspiration monthly time-series (2009 to 2020) mean water balance modelling values: (Precipitation *1.1) - (evapotranspiration*1.3 3. Soil/Slope - (1.5X soils) + Slope. Soil data from FAO (soil suitability for ponds), slope Watershed DEM 30s classification. Class 4 - Very suitable: 8 4. GAEZ v4 Theme 5: Actual Yield and Production - Major crops aggregate production selected using FAOSTAT average 2015/2019 - Cassava, Yams, Maize, Oil palm fruit, Rice ,Vegetables, Sorghum. 5. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 2010) - Chicken and duck. 6. UNEP-WCMC and IUCN (2021), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], May 2021, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net. 7. UN-GIS SALB: Nigeria administrative boundaries. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Download vector map (SHP) for state average, non-intensive, pond and small water bodies fish farming systems in Nigeria (catfish and tilapia).

Raster representing a potential/suitability score for non-intensive and integrated, small-scale, African Catfish and Nile Tilapia fish farming systems, using ponds and small water bodies (SWB), in consumption-based poverty above the national average regions of Nigeria. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. Non-intensive aquaculture systems are considered based on natural food supply from SWB or ponds, from integrated systems (crop/livestock byproducts or waste), or with complementary feeding resourcing to on-farm or locally produced feed. The score results from combining sub-model outputs that characterize natural geographical and economical factors: 1. farm-gate sales - based on population density classification 2. Water balance - precipitation/evapotranspiration 3. Soil/slope suitability. 4. Inputs - Crop and livestock byproducts Considered constraints or exclusive criteria are: 1. Urban areas 2. Protected areas 3. Poverty above the national average It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("WaterBalance" X 0.5) + ("Soil/Slope " X 0.25) + (“Byproducts” X 0.125) + (”FarmgateSales” X 0.125) **Data publication:** 2021-11-01 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) Distributor: [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 1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. * Farm-gate sales Class 4 - Very suitable: 150-300 [h/km² Class 3 – Moderately suitable: 25-149 [h/km² Class 2 – Marginally suitable: 1-24 [h/km² Class 1 – Unsuitable: 300 [h/km² * constraint 'urban areas' = pop density>1600 habitants/km² AND area>50km² 2. Nigeria consumption-based poverty map for 2010 - WorldPop - proportion of residents living on less than $1.25 a day (Tatem et al., 2013 3. WaPOR_2 * Water Balance: precipitation and evapotranspiration monthly time-series (2009 to 2020) mean water balance modelling values: (Precipitation *1.1) - (evapotranspiration*1.3 4. Soil/Slope - (1.5X soils) + Slope. Soil data from FAO (soil suitability for ponds), slope Watershed DEM 30s classification. Class 4 - Very suitable: 8 5. GAEZ v4 Theme 5: Actual Yield and Production - Major crops aggregate production selected using FAOSTAT average 2015/2019 - Cassava, Yams, Maize, Oil palm fruit, Rice ,Vegetables, Sorghum. 6. GLW Gridded Livestock of the World - Gridded Livestock of the World (GLW 3 2010) - Chicken and duck. 7. UNEP-WCMC and IUCN (2021), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], May 2021, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Download Raster TIF non-intensive fish farming systems location score for poverty above the average regions in Nigeria.