2 aida gareeva pedrr workshop session 3

Ecosystem management for DRR

Integrated Natural Resource Management for

Disaster Risk Reduction on watershed level in the

south of Kyrgyzstan

PEDRR Workshop

“Ecosystems, Livelihoods and Disaster Risk Reduction”.

21-23 September in Bonn, Germany

Context of Kyrgyzstan

• The total area of Kyrgyzstan is 198,500 sq km (76,640 sq mi). The country is almost completely mountainous. More than half of Kyrgyzstan lies at an elevation higher than 2,500 m (8,200 ft)

• Population 5,431,747

• Agrigalture is a significant sector of the economy. It comprises 35.3% of the total GDP and occupies 55% of the total labor force

Kyrgyzstan

• Since 1991 decrease in governmental resources for prevention of natural disasters, and recovery in case of emergency;

Mud flow disasters

• Decentralisation: Responsibilities concerning disaster reduction and prevention are increasingly transferred from the state level to local level;

• Annual damages - 12 mln. $

• 1992-2008 more then

200 000peoples affected

(www.preventionweb.net)

Landslide disasters

Experience from the ongoing project in Zerger

watershed;

1. Integration of scientific results to practice for DRR

Content of presentation

1. Integration of scientific results to practice for DRR

2. To enhance dialogue between scientific and practitioner communities.

3. Strengthening of local institutions for DRR management ;

Project area - Zerger watershed

Project area - Zerger watershed

• The total basin area is 43’617 hectares;

• Altitude 1800-2354 m;

• 3 municipalities within the; basin area: Zerger, Jazy and Jylandy (17 villages);

• The area’s population is 20,000;

• The area is prone to land slides (Tosoi village, 1994), mudflows and floods.

Definition by ISDR

"The combination of the probability of an event and its negative consequences."

Risk = Hazards x Vulnerability

frequency, magnitude exposure, asset, susceptibilityfrequency, magnitude exposure, asset, susceptibility

hazards vulnerabilityrisk

Hazards

assessment by

expert group

Participatory hazards

& vulnerability

assessment

Vulnerability

assessment by social

group of experts

Measures,

x=

Measures,

recommended by

villagers

Hazards assessment map with

vulnerability elements

Risk assessment

Measures

Participatory hazard assessment


Hazards

assessment by

expert group


& vulnerability

assessment

Vulnerability


group of experts

Measures,

x=

Measures,

recommended by

villagers



Risk assessment

Measures

Hazard assessment

• 1st degree: very high

• probability;

• 2nd degree: high;

• 3rd: medium;

• 4th: low probability.

Landslide hazards map

• 4th: low probability.


Hazards

assessment by

expert group


& vulnerability

assessment

Vulnerability


group of experts

Measures,

x=

Measures,

recommended by

villagers



Risk assessment

Measures

Vulnerability assessment

Poverty

• 53 % of households are poor according to the National Statistical Committee (in average per capita 10 Euro per month);month);

• More than 60% of households have income which is enough only for primary necessities according to assessment of the respondents.

Official statistics

Interview

Average

Rich

Middle

Poor

Very poor


Hazards

assessment by

expert group


& vulnerability

assessment

Vulnerability


group of experts

Measures,

x=

Measures,

recommended by

villagers



Risk assessment

Measures


Hazards

assessment by

expert group


& vulnerability

assessment

Vulnerability


group of experts

Measures,

x=

Measures,

recommended by

villagers



Risk assessment

Measures

Strengthening of local institutions for DRR

management

Integrated DRR approach with

watershed management

• Reed control by planting alfalfa and sainfoin on rainfed land;

• Pasture management;• Pasture management;

• Protection from mudflow by establishment of gabions.

Conclusions

What we are learning in Kyrgyzstan from thisexperience?• Need of new methods for integration of existing dates and

involvement of national experts for assessment.• Integration and synthesis of interdisciplinary knowledge on the

watershed level. • Broadening of understanding of local population to watershed • Broadening of understanding of local population to watershed

level • Need of clear practical recommendations for mitigation and

adaptation measures on watershed level (international experience is needed)

• Watershed approach is sustainable but long-term (and capital-intensive?)

Thank you!






How to reduce risks?

Risk = Hazard * (Vulnerability - Coping Capacity)

Flood retentiondam

Watershedmanagement

USAR Team

Risk = Hazard * (Vulnerability - Coping Capacity)

Land use plan

EQ proofconstruction

Early WarningSystem

R = H * V

Hazard assessment

Mud flow and spring flood assessment

• 1st degree: very high probability;probability;

• 2nd degree: high;

• 3rd: medium;

• 4th: low probability

Main project expected results

1. Concerned institutions and selected communities are trainedon measures of detection, mitigation and response todisaster risks.

2. The first stage of the integrated local disaster riskmanagement planning on village and watershed level hasmanagement planning on village and watershed level hasbeen completed.

3. Practice measures in the frame of plans implementationincreased adaptation potential of local institutes for theDRR management.






Documents

2 aida gareeva pedrr workshop session 3