Spatial Planning in Fisheries &

Integrated Agriculture-Aquaculture (IAA)

Shwu Jiau Teoh & GeoCoP WorldFish

CGIAR-CSI Community Meeting 2020

Spatial Planning in Fisheries

• Monitoring small-scale fisheries

• Planning for reservoir culture-based fisheries

An Integrated Data Pipeline for Small-scale Fisheries

• Timor-Leste first national digital

catch monitoring system

• Install >300 solar-powered

tracking devices on fishing boats

• Track boat movements and

characterize the distribution of

fishing pressure across space

Big Data Inspire Challenge Winner 2018; Scale Up Runner 2019 (WorldFish & PDS) Tilley et al. (2019)

https://worldfish.shinyapps.io/peskAAS/

Dashboard for

Automated Analytics System for Small-Scale Fisheries in Timor-Leste (PeskAAS)

Seasonal Change in Water Surface Area of Reservoirs

Wet Season

(≈80ha)

Dry Season

(≈25 ha)

• Reservoirs get inundated during raining season,

and drawn down occurs during the dry season.

• The duration of use for culture-based fisheries

(the cultivable period) may be reduced in

accordance with water availability.

Paun Sia

Reservoir

(21°45‘ 38.16"N,

86°47‘ 25.08"E)

Odisha-WorldFish Project in partnership with Fisheries and Animal Resources

Development Department (F&ARD) of the Government of Odisha, India

Water Surface Area (hectare)

Maximum water extent in JAN (65.6 hectare)

Minimum water extent in JUL (39.0 hectare)

1 hectare = 10,000 m2

∆ MAX-MIN

= 26.6 hectareDecrease 41%

Derive the Monthly Water Surface Area

Sentinel-2 ImagesScene ID: T45QVE

Product: Level-1C

COMPOSITE (NIR, Red, Green)

Teoh (2018)

Spatial Planning in Integrated

Agriculture-Aquaculture (IAA) system

• Chicken-Fish farming

• Rice-Fish systems

Adapted from FAO/IIRR/WorldFish (2001)

• Planned statistically representative survey of integrated chicken-fish farms in Yangon, but no information on farm location or numbers available

• Identified farms manually, integrating villages tract boundary layer into Google Earth Pro, and dividing village tracts among team of RAs for visual ID

• Identified farms using machine leaning algorithm

• Similar results from both methods

• Used data to calculate density of chicken houses on every village tract within 100 km radius of Yangon. Ranked village tracts based on density of chicken houses, selected, then did complete farm listing in randomly selected villages

Integrated Chicken-Fish Farms

Food Security Policy Project, Myanmar

Number & density of chicken houses on

integrated chicken-fish farms, 2014-2018

3868 houses in 230 village tracts

Belton, unpublished survey data,

Food Security Policy Project, Myanmar

1898 houses in 121 village tracts

2014 2018

Policy makers

DoA & DoF planners

Extensionists

• Where, and how extensive, are

areas of high potential for the

target rice-fish farming system?

• Where does a particular

constraining factor occur within the

marginal rice-production areas?

• What are the main limiting factors

constraining marginal rice

production areas?

Rice-Fish Planning and Management

ACIAR funded Rice-Fish project in

partnership with IRRI and the Ministry

of Agriculture, Livestock, and Irrigation

of Myanmar

Scales/levels of analysis

Spatial Analysis and Estimating Potential

Global to National

Sub-national

Levels-1 and 2

Farms /

farm clusters

Estimating Potential

Zoning

Site Selection

Plan strategically for development

& eventual management

Regulate development; minimize

competing & conflicting uses;

maximize complementary uses

of land & water

Reduce risk;

optimize production

Resolution

Low

Moderate

High

Results

Broad,

indicative

Directed,

moderately

detailed

Specific,

fully

detailed

90 m

30 m

15 m

<10 msingle cell

Consultation meeting with national experts

o Department of Fisheries (DoF)

o Department of Agriculture (DoA)

o Townships Officers

Identifying Influencing Factors/Criteria

Photo credit: Nikola Schulte-Kellinghaus

WorldFish-IWMI joint organized consultation meeting at

DoF Yangon, 26th of July, 2018● The factors/criteria for driving rice-fish farming

systems are consisted of biophysical and socio-economic nature

● The relevant factors were grouped to construct sub-models

Market &

Accessibility

Inputs &

Knowledge

Water, Land &

ClimaticSub-Models

40% Rice area

w% Leasable fisheries area

10% Low land

10% Flat land/slope steepness

10% Soil pH

10% Soil texture

20% Salinity

w% Rainfall amount/water balance

w% Physical infrastructure

(tidal barrages, dams, etc)

i% Proximity to fish hatchery

i% Government stocking program

i% Number of people trained by DoF

i% Number of people trained by DoA

30% Proximity to road network

30% Proximity to canal/rivers

(boat access)

40% Population densities

Rice-Fish

Development

Overall Model

80% x% 20%

Rice area

Overall

Suitability Map

PRELIMINARY

Elevation

Soil

texture Road

network

Population

densities

NOTE:

Factors shown in

italics are planning to

collect the data for

improving the model

Suitability land for deep-water rice Overall suitability for rice-fish

Superimpose the rice-fish

suitability map with deep

water rice environment:

Leh et al. (2018)

Preliminary Preliminary

Flood Based Farming Systems (FBFS)

Teoh et al. (2018)

Rice-Fish cultured

Rice-Fisheries

If high potential for

deep-water rice,

Potential Yield Monorice

JAN Overall Suitability for

Rice-Fish

(JAN) Plan Rice-Fish interventions at area:• with low rice yield productivity and

high rice-fish potential

Grid: 25km Grid: 90m

PRELIMINARYRESULTS

CROSSTAB grid map of

suitability vs potential yield

Radanielson et al. (2018)

Teoh et al. (2018)

ORYZA rice crop model

Knowing the limitations helps determine what interventions are needed

Rice area

Elevation

Population

Road

accessibility

Overall

suitability

1: Least suitable

4: Most suitable

2: Moderately suitable3: Suitable

PRELIMINARY

Identify limitations

for least suitable area

Identify

limitations for

marginal rice

production area

Most limiting factor

0 -255

least-most suitable

fuzz_suitbiophy

ILLUSTRATIVE

Most limiting factors

0 -255

least-most suitable

fuzz_suitbiophy

ILLUSTRATIVE

Thank You