Non-intensive fish farming systems location score - AWI: Catfish and Tilapia (Chad - ~1km)

Raster dataset 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 asset wealth index bellow the national average regions of the Republic of Chad. 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)

Considered constraints or exclusive criteria are:

  1. Urban areas

  2. Protected areas

  3. Asset wealth Index national average

Data publication: 2021-11-01

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:

  1. Atlas AI - Asset Wealth Index and Population Density (Africa, 2020).

  2. WaPOR_2 - Water Balance: precipitation and evapotranspiration monthly time-series (2009 to 2020) mean water balance modelling values: (Precipitation 1.1) - (evapotranspiration1.3) https://wapor.apps.fao.org/catalog/2

  3. Soil/Slope - (1.5X soils) + Slope. Soil data from FAO (soil suitability for ponds), slope 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

  4. IFPRI MapSPAM 2017 - Production aggregate. https://data.apps.fao.org/map/catalog/srv/metadata/59f7a5ef-2be4-43ee-9600-a6a9e9ff562a

  5. Gridded Livestock of the World (GLW 4:) - Chicken and duck. https://data.apps.fao.org/catalog/iso/15f8c56c-5499-45d5-bd89-59ef6c026704

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)

Online resources:

Download printable map, Chad

Download printable map, Sudanian agroecological zone

Data and Resources

Printable map

Printable map

Metadata:

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abstract
Raster dataset 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 asset wealth index bellow the national average regions of the Republic of Chad. 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) Considered constraints or exclusive criteria are: 1. Urban areas 2. Protected areas 3. Asset wealth Index national average
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    2021-11-01
    dateType
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title
Non-intensive fish farming systems location score - AWI: Catfish and Tilapia (Chad - ~1km)
descriptiveKeywords
  • keywords
    • Aquaculture
    • Hand-in-Hand
    • GIS
    • MCDA
    type
    theme
  • keywords
    • Ponds
    • small water bodies
    • fisheries
    type
    place
  • keywords
    • Africa
    • chad
    type
    place
extent
  • geographic
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    east
    7.42
    north
    13.54
    south
    23.89
    west
    23.41
language
eng
purpose
Support the design of targeted interventions and investment plans for non-intensive freshwater fish faming systems in the Republic of Chad.
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Data sources, FAO Hand-in-Hand Geospatial Platform and OpenStreetMap (open data) including the following datasets: 1. Atlas AI - Asset Wealth Index and Population Density (Africa, 2020). 2. WaPOR_2 - Water Balance: precipitation and evapotranspiration monthly time-series (2009 to 2020) mean water balance modelling values: (Precipitation 1.1) - (evapotranspiration1.3) https://wapor.apps.fao.org/catalog/2 3. Soil/Slope - (1.5X soils) + Slope. Soil data from FAO (soil suitability for ponds), slope 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 3. IFPRI MapSPAM 2017 - Production aggregate. https://data.apps.fao.org/map/catalog/srv/metadata/59f7a5ef-2be4-43ee-9600-a6a9e9ff562a 4. Gridded Livestock of the World (GLW 4:) - Chicken and duck. https://data.apps.fao.org/catalog/iso/15f8c56c-5499-45d5-bd89-59ef6c026704
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True
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2023-11-22T10:06:33.467367
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Type:

iso

Additional Info

Field Value
Source Source URL
Last Updated March 15, 2024, 15:25 (UTC)
Created November 22, 2023, 10:06 (UTC)