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 Cameroun. Produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location and the Projet de Développment des Châines de Valeur de l'Élevage et de la Pisciculture (PD-CVEP) suitability analysis for the establishment of Aqua Park areas.
Intensive systems are 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 use 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. Potential yield
d. Inputs - Crop and livestock
e. Slope - terrain suitability.
f. Photovoltaic (PV) energy potential.
The location score is a simple arithmetic weighted sum of normalized/scaled grids (0 to 100): (“Accessibility MajorUrbanAreas”x 0.4) + (PVOUT x 0.10) + ("potential Yield"x 0.15) + (“CropsInput” x 0.1) + (“LivestockInput” x 0.1) + (("WaterBalance" x 0.1) + ("Slope "x 0.05)
Final location mapping applies constraints and exclusive criteria, are selected considering the top 90th percentile.
Applied constraints and exclusive criteria are:
a. Urban areas.
b. Protected areas.
c. Dams and Large Water Bodies.
d. Mobile broadband coverage.
e. Maximum distance to major roads (~2km: 0.018 degree).
c. Maximum distance to bank agency (~20km: 0.18 degree).
Data publication: 2021-11-11
Contact points:
Metadata Contact: FAO-Data
Resource Contact: Nelson Ribeiro
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>50km²)
b. 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) - (evapotranspiration1.3)
c. Slope - terrain suitability - Watershed DEM 30s, classification.
Class 4 - Very suitable: <2
Class 3 – Moderately suitable: 2 - 5
Class 2 – Marginally suitable: 5 - 8
Class 1 – Unsuitable: > 8
d. 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
f. Input livestock – GLW: weighted animal density aggregate - GLW 4: https://data.apps.fao.org/catalog/iso/15f8c56c-5499-45d5-bd89-59ef6c026704
g. Protected areas - UNEP-WCMC and IUCN (2021), Protected Planet. https://www.protectedplanet.net/en/thematic-areas/wdpa
h. Mobile broadband connectivity – Mobile Broadband Coverage 2021 - Collins Bartholomew Mobile Coverage Explorer derived.
i. World Bank: World - Photovoltaic Power Potential (PVOUT) GIS Data, (Global Solar Atlas)
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)
Online resources:
.tif dataset and .sld style file for intensive closed fish farming systems final locations using photovoltaic energy.
