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A GIS to assess different Malagasy Migratory locust risks

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(1)

1 Centre de coopération internationale en recherche agronomique pour le développement

UPR Locust Ecology and Control

TA A-50/D 34 398 Montpellier cedex 5 – France

Contacts :

[email protected]

;

[email protected]

;

[email protected]

Topics and research projects :

http://www.cirad.fr/ur/acridologie

2 National Locust Centre (Centre National Antiacridien – CNA)

Betanimena BP 241 Toliara 601 - MADAGASCAR

Contacts :

[email protected]

;

[email protected]

Website :

http://www.cna.mg

Fig.6: Conceptual model of the new prevent system process by a Geographical Information System - CIRAD

RAINFALL MAP

INTERPOLATION

EQUIVALENT

DENSITY

INTERPOLATION

LANDSAT IMAGES

RAINFALL DATA

LOCUST DATA

MAP OF HABITATS

VALIDATION

MONTHLY

RAINFALL

THEORICAL

POTENTIAL OF

HABITATS

REAL

POTENTIAL OF

HABITATS

EXPERT

DATA

DATA BASE

Storage / Checking

DATA BASE

Storage / Checking

REMOTE

SENSING

Segmentation/Classification

FIELD

DATA

Training

collection

Validation

collection

SURFACES & DISTRIBUTION

 LOCUST RISK

UPSURGE-RISK

MAP

LOCUST

POTENTIAL

RAINFALL MAP

INTERPOLATION

EQUIVALENT

DENSITY

INTERPOLATION

LANDSAT IMAGES

RAINFALL DATA

LOCUST DATA

MAP OF HABITATS

VALIDATION

MONTHLY

RAINFALL

THEORICAL

POTENTIAL OF

HABITATS

REAL

POTENTIAL OF

HABITATS

EXPERT

DATA

DATA BASE

Storage / Checking

DATA BASE

Storage / Checking

REMOTE

SENSING

Segmentation/Classification

FIELD

DATA

Training

collection

Validation

collection

SURFACES & DISTRIBUTION

 LOCUST RISK

UPSURGE-RISK

MAP

LOCUST

POTENTIAL

Fig.3: A swarm in Zomandao plain. (Lecoq, march 1999)

M

O

Z

A

M

B

IC

C

H

A

N

N

E

L

IN

D

IA

N

O

C

E

A

N

Tananarive

Tuléar

100 0

N

Fig.1: Outbreak area

of L. m. capito

(80 000 km²)

Solitarious

Gregarious

Tra

n

si

e

n

s

degrega

ns

Tr

a

n

s

iens

c

o

ngrega

n

s

-> Phase transformation rapid but predictable

-> Ecological requirements of the locust well known

-> L. m. capito is a main devastating crop insect in gregarious phase

Objective of preventive strategy:

detect and control locust populations when starting their phase transformation

Fig.4: Phase transformation

-> Primarily based on rainfall (Launois, 1974)

-> Optimal rainfall range, ORR, 50 to 150 mm per month

Population regulation = hydrologic factor

0 mm

50

150

250 mm

Deficit

Optimum

Excess

-

+

++

--Fig.5: The Optimal Rainfall Range

sugarcane

maize

coconut

cassava

sugarcane

maize

coconut

cassava

sugarcane

maize

coconut

cassava

Fig.2: Damages on crops during

the last plague (1997-2000). CIRAD

Key-words : Madagascar ; preventive control ; Locusta migratoria capito ; GIS

A GIS to assess different

Malagasy migratory locust Risks

DECHERF Aurelia

1

, FRANC Alex

1

, ANDRIAMAROAHINA Tsito

2

, DURANTON Jean-François

1

The Malagasy migratory locust, Locusta migratoria capito (Saussure, 1884) is

the most important agricultural pest in Madagascar.

When solitary individuals group together,

they become gregarious then causes swarm outbreaks.

As rainfall discriminates annual locust

population dynamics, by monitoring

the eco-meteorological conditions,

it is possible to locate and assess locust risk.

A forecasting system is the main goal of the Malagasy National Locust Centre in running national preventive controls

and establishing three levels of risk: local upsurge, major outbreak with phase transformation, and invasion.

From this point, several levels of locust risk can be evaluated:

- local upsurge risk;

- phase transformation risk;

- invasion risk.

These locust risks are evaluated and mapped

monthly. Risk localisation can guide survey

and control operations in the field to be quick

and more efficient.

Objectives :

Methods:

A Geographical Information System (GIS) had been created to delimit locust risks in the outbreak area (100 000 km²).

This system combines first locust habitats, mapped using remote sensing data, along with rainfall data to evaluate ecological potential.

Second, this ecological potential is compiled spatially in

a GeoDatabase which includes locust data (density and phase)

collected in the field.

A first risk map had been validated for the pilot study area

using archived data. The generalisation to the entire

outbreak area is now in progress.

(2)

A GIS to assess different Malagasy Migratory locust risks

DECHERF Aurélia, FRANC Alex, ANDRIAMAROAHINA Tsito, DURANTON Jean-François

The Malagasy migratory locust, Locusta migratoria capito (Saussure, 1884) is the most important agricultural pest in Madagascar. When grouping of solitary individuals occurs, it causes outbreaks of swarms. As the rainfall discriminates annual population dynamics, by monitoring the eco-meteorological conditions, it is possible to locate and assess the locust risk. A forecasting system is the main element for the Malagasy National Locust Centre to run a rational preventive control. Three levels of risk can be established:

1) a local outbreak risk, 2) a gregarization risk, 3) an invasion risk.

A Geographical Information System (GIS) had been created to delimit these risks in a pilot area (the Ejeda zone). This evaluation is a combination of three kinds of data: the static components (locust habitats mapped with remote sensing) and the dynamic components (monthly locust and rainfall data coming from the field and collected in a database).

The local outbreak locust risk is defined monthly; where the optimal conditions gather together. Thanks to the outbreak risk localisation, survey and control actions can be done quickly.

To gregarize, the Migratory locust has to make at minimum two generations in the same area. Gregarization risk areas correspond with spot where the outbreak risk is defined during 3 months successively.

An invasion becomes possible when more than 100 000 ha are concerned by gregarization at the end of the rainy season. This risk is not valid for one area but is global for all the population of Migratory locust of the entire outbreak area.

The results were validated for the pilot zone using archive data. The generalisation is in process for the whole outbreak area of the migratory locust.

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