Skip to main content

Table 1 The classification criteria for the selection of aquaculture potential suitable site in the Lake Tana basin

From: GIS modeling of potentially suitable sites for aquaculture development in the Lake Tana basin, Northwest Ethiopia

Land characteristics

Classification criteria and scale

References

Highly suitable (4)

Moderately suitable (3)

Marginally suitable (2)

Unsuitable (1)

Socio-economics sub-model suitability

 Population density (per km2)

150–300

25–250

1–25

< 1 and > 300

[10, 39]

 Consumption behavior (per capita fish consumption-g/year)

> 1000

500–1000

200–500

< 200

Based on local practice

 Production experience (# of fishers/district)

> 600

300–600

100–300

< 100

Based on local practice

 Market center distance (km)

< 5

5–10

10–15

> 15

Expert judgment

 Road density (km/km2)

≥ 0.36

0.20–0.35

0.04–0.19

< 0.04

[22]

 Road proximity (km)

< 5

5–10

10–15

> 15

Expert judgment

Input suitability sub-model

 Total amount of livestock manure (in 1000 tons)

> 100

30–100

2–30

< 2

[10]

 Crop land tonnage/km2

80–100

50–79

20–49

< 20

[40]

 Land use-land cover

Woodlands, shrub lands and grasslands

–

Dense agricultural high lands

Large natural forest, and rocky barren

[23]

Water availability sub-model

 Annual rainfall (mm)

> 1199

1000–1199

700–999

< 700

[22]

 Perennial river density (per district) (km/km2)

≥ 0.36

0.2–0.35

0.04–0.20

< 0.04

[22]

 Proximity to perennial river (km)

< 1

1–2.5

2.5–3.5

> 3.5

Expert opinion

 Proximity lake and reservoirs (km)

< 1

1–2.5

2.5–3.5

> 3.5

Expert opinion

Water quality sub-model

 pH

6.0–8.0

5.0–6.0

4.0–5.0

< 4.0

[41]

 DO (mg/l)

5.0–10.0

4.0–5.0

3.0–4.0

< 3.0

[41]

 Temperature (°C)

25–32

22–25

18–22

0–18

[41]

Soil suitability sub-model

 Soil texture (%)

> 80

50–80

20–50

0–20

[42]

 Slope (%)

0–2

2–5

5–8

> 8

[42]

 Soil pH

6.5–8.5

5.5–6.5

4.0–5.5

1.0–4.0

[42]

Urban markets and proximity sub-model (commercial farming)

 Urban market population (in 1000)

> 1000

250–1000

50–250

< 50

[10]

 Proximity to district capitals (km)

0–165

165–330

330–499

> 500

[43]