Raster representing final recommended locations for intensive, closed, and semi-closed catfish farming systems using ponds, tanks, RAS, flow through and recirculation in the Republic of Chad. 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. Closed or semi-closed techniques are less dependent on biophysical criteria, it reuses/recirculates water, can be placed indoors or in compounds, and use man-made artificial materials.
The score is achieved by processing sub-model outputs characterizing biophysical, 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.
The location score is a simple arithmetic weighted sum of normalized/scaled grids, theoretically varying from 0 to 100:
(“Accessibility MajorUrbanAreas” X 0.5) + ("WaterBalance" X 0.15) + ("PotentialYield" X 0.15) + (“CropsInput” X 0.075) + (“LivestockInput” X 0.075) + ("Slope " X 0.05)
Final location mapping applies constraints and exclusive criteria, and consider the top 90th percentile. The resulting raster is classified in 3 equal intervals.
Applied constraints and exclusive criteria are:
a. Urban areas
b. Protected areas
c. Flood areas.
a. Mobile broadband coverage
b. Maximum distance to major roads (~2km: 0.018 degree)
c. Maximum distance to bank agency (~20km 0.18 degree)
Data creation: 2023-10-19
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>1200 habitants/km² AND area>5km²)
b. Water Balance: WaPOR (https://wapor.apps.fao.org/home/WAPOR_2/1) 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. Slope - terrain suitability - HydroSHEDS DEM 30s (https://www.hydrosheds.org/hydrosheds-core-downloads), 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. https://data.apps.fao.org/catalog/iso/a79fd49a-3eeb-4f4e-a0ed-e5f28dbe3a1c
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)
Online resources:
