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Development of the System for Early
Adaptation to Climate Change in Mongolia
Akihiro OBA1), Wanglin YAN1), Balt SUVDANTSETSEG2),
Masataka WATANABE1), Chuluun TOGTOKH2),
Bolar-Erdane LKHAMSUREN3)
1)Keio

University, Japan
2)National University of Mongolia, Mongolia
3)Kangwon National University, Korea
2/14

Introduction

Met.

Res.

Con.

Livestock Dynamics and Early Adaptation
Extremely Increased Mortality
by Extreme Weather(Zud)

Decision-making from
adaptation options in
each county(Sum)

Early Adaptation

Our Goal
CAP

year

Overgrazing

2010

2000

Economic Liberalization

1990

1980

1970

1960

(Altanbagana and Chuluun, 2010)

10
4,500 thou. heads
4,000
3,500
3,000
2,500
2,000

ex. selling animals
before market
season

Return to Carrying
Capacity and
Stable Grazing
3/14

Introduction

Met.

Res.

Con.

Scientific Data Did Not Put to Practical Use for Zud
Meteorological Data /
Vegetation Data

Statistical Data

LEWS
<http://glews.tamu.edu/Mongolia>

Year Book

National Atlas

Drought Warning Map

Remote Sensing Data

Drought Map

Landsat Data in Mongolia

These information don’t
reach to local people: Gap

GIS Data

http://goo.gl/bdwJy

Unsolved Zud Problem, in 2010

Objective
To show a framework of early adaptation to zud through web based adaptation support
system for herders and mayors
4/14

Intro.

Method

Res.

Con.

Framework: How to Use Scientific Data for Adaptation Practice
Zud

Organizing
Stakeholders

Interview about Current
Action after Zud and
Communication Method

Sort-out of Adaptation
Policy in Each Sum

③System Development

②Field Interview

System Design /
Development of Interface

Evaluation Gap between
Data Needs and Current
Monitoring Data

Early Adaptation
before Zud

Interview about Needs of
Data & Support System
from Herders & Mayors

User Test and
Implementation

④Interview to Central Government

Practice of Adaptation
Policy by Mayors and
Herders

Integrated Database from Existing Databases
Recommended Adaptation Policies with Data

①Database
①Database

5/14

Intro.

Method

Result

Con.

Development of Database and Evaluate Accuracy
Development of Spatial Database
Vegetation, Weather

Statistics
Integrate

GIS

New Database

RS

Exisitng Databases (Data Souces)

Developed Databases (Data Souces)

Evaluation of Database Accuracy
Result of Nonparametric Analysis of Variance (Kruskal-Wallis): No Difference (p < 0.05)

)

1

PostGIS

Analyzed
Colored Area

Existing Zud Index by Authors Data2)
1)Angerer

Zud Index by Developed Database

J, Sean G, Doug T (2009) Technology Transfer Part I: Implementation of the Livestock Early Warning System in Mongolia. Global Livestock CRSP, Research
Brief 09-01-GOBI, Univ. of California-Davis.
2)Chuluun T, Altanbagana M, Tserenchunt B (2011) Land degradation and desertification in Mongolia. Background paper for the Mongolia Human Development Report 2011.
6/10

②Field Interview

Intro.

Met.

Result

Con.

Field Interview to Herders and Mayors
Steppe Zone
Forest Steppe Zone

Gobi Zone

 Date: 9/18 – 9/30, 2012
 Survey: Interview to Herders, Mayors
 Area: 12 Sums, 3 Aimags
(5 landscape zones)

Interview to Herders Interview to Mayors
7
7/14

②Field Interview

Intro.

Met.

Result

Con.

Q. What information do you need for adaptation to zud?(Open Discussion)
2%

Omnogobi 0%

Gobi- Altai
0%

0% Tuv
0%
0%
13% 0%

2%

0%
4%
0%

18%

0%

22%

Nothing in particular
44%

74% 17%

87%
11%

1% Total
1% 6%

6%

Mining points within
or around Sum

News that relates Zud
Rangeland that is warm or has
no snow during winter

15%
6%
3%

Weather Information

Market Price
68%
Information that relates
government

A. Weather Info, Zud Info, Market Price of Each Market, Non-Snowed Area(Herders)
On the top of above, detail information with map(Mayors)
→This information is already provided by government and academic institution.
However, they had not reached to local people. Thus, sending system is needed for them.
8
8/14

②Field Interview

Intro.

Met.

Result

Con.

Q.Who is the first for you to ask for help? Relatives? Neighbors? Or community?
(Gobi-Altai:N=48, Omnogobi: N=18, Tuv:N=8)
6%

Govi- Altai

4%

6%

Omnogobi
0%

5%

Tuv
0%
0%
0%

20%
70%

100
%

89%

5% 3%

78%

Total
14%

Community groups
Family or relatives
No advices
Sum government

→Current communication level among herders becomes not strong.
Adaptation information should be sent to each herder directly.
9/14

②Field Interview

Intro.

Met.

Result

Con.

Q. How will you do in next zud if it can practice early adaptation to zud?
Omnogobi
Tuv
4% Gobi- Altai 11%
9%

7%

0%
11%

22%

0%

28%

25%

6%

54%

37%

25%
44%

4%

6%
4%

0%

Early sales or kills

Total
17%

Move to other
rangeland
Keep or buy pastures
for winter
No idea

26%

40%

Buy livestock animals
7%

Other

A. Early Sales or Kills, Keep Forage, Move to Other Rangeland
→Adaptation policies are listed by based on local knowledge.

13%
10/14

③System Development

Intro.

Met.

Result

Con.

Framework for Adaptation to Zud
Data Flow for Herders and Mayors
Text Based Information
・Recommended Adaptation Policy
by Based on Last Zud Damage
・Market Information
・Non-Snowed Information by
Using Local Location Name

Map Based Information

Attributes

Mobile Phone
Herders
Server in Mobile Company
PostgreSQL
(Database)

PC/Smart
Phone
Sum Mayors
11/14

③System Development

Intro.

Met.

Result

Con.

Developing Interface for Mayors
①Zud Information with Basic
Information of each Sum

③Sum’s Location with GIS Data

②Detail Information

④Visualized Estimation
of Vulnerability
⑤Recommended
Adaptation Plans

Interface: Flash, Map Interface: Google Maps
12/14

③System Development

Developing Interface for Herders
Interface: Email
Weekly Weather Information

Recommended Adaptation Policy
by Based on Last Zud Damage
Market Information

Non-Snowed Information by
Using Local Location Name
13/14

Evaluation by Central Government
• System Evaluation

-Of course quite important. After test, we’d like to consider to
introduce for whole country
• Current method to send information to local herders and mayors
-Local TV and Radio, Traditional Communication Method
• Whole framework for zud as a country scale
-Alert by Central Government, and Emergency Savings for Hazards
• Current responsibility, insurance in zud information
-Nothing

 Date: 1/22 – 1/23, 2013
 Survey: Interview to Directors of Ministry of Food and
Security, Green Development, Advisor to President
14/14

Intro.

Met.

Result

Conclusion

Conclusion
This study achieved Gaps between preparedness and
awareness in government and herders. We developed
WebGIS based system for zud adaptation to fit these gaps.
○Herders and mayors mainly need any kinds of zud
information, weather information, market information, and
migrate-able area to prevent from zud.
○Mayors and herders exchange their information by using
mobile phone. However, their local communication became
weak nowadays. It needs to send info directly to people.
This study shows a framework for adaptation to zud.
○Framework of the system becomes 2 steps: detail
information with map by based on web system for
mayors, and text based simple info on cell-phone system for
herders.
Next Step
Thank you for attention!

Contact
• Mail: perry@sfc.keio.ac.jp
• Adress: Keio University Z203, Yanlab, Endo 5322, Fujisawa, Kanagawa, Japan
• Tel:+81-466-49-2227
• Fax:+81-466-49-2228

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Presentation Slide for AAG Annual Meeting in 2013

  • 1. 1/14 Development of the System for Early Adaptation to Climate Change in Mongolia Akihiro OBA1), Wanglin YAN1), Balt SUVDANTSETSEG2), Masataka WATANABE1), Chuluun TOGTOKH2), Bolar-Erdane LKHAMSUREN3) 1)Keio University, Japan 2)National University of Mongolia, Mongolia 3)Kangwon National University, Korea
  • 2. 2/14 Introduction Met. Res. Con. Livestock Dynamics and Early Adaptation Extremely Increased Mortality by Extreme Weather(Zud) Decision-making from adaptation options in each county(Sum) Early Adaptation Our Goal CAP year Overgrazing 2010 2000 Economic Liberalization 1990 1980 1970 1960 (Altanbagana and Chuluun, 2010) 10 4,500 thou. heads 4,000 3,500 3,000 2,500 2,000 ex. selling animals before market season Return to Carrying Capacity and Stable Grazing
  • 3. 3/14 Introduction Met. Res. Con. Scientific Data Did Not Put to Practical Use for Zud Meteorological Data / Vegetation Data Statistical Data LEWS <http://glews.tamu.edu/Mongolia> Year Book National Atlas Drought Warning Map Remote Sensing Data Drought Map Landsat Data in Mongolia These information don’t reach to local people: Gap GIS Data http://goo.gl/bdwJy Unsolved Zud Problem, in 2010 Objective To show a framework of early adaptation to zud through web based adaptation support system for herders and mayors
  • 4. 4/14 Intro. Method Res. Con. Framework: How to Use Scientific Data for Adaptation Practice Zud Organizing Stakeholders Interview about Current Action after Zud and Communication Method Sort-out of Adaptation Policy in Each Sum ③System Development ②Field Interview System Design / Development of Interface Evaluation Gap between Data Needs and Current Monitoring Data Early Adaptation before Zud Interview about Needs of Data & Support System from Herders & Mayors User Test and Implementation ④Interview to Central Government Practice of Adaptation Policy by Mayors and Herders Integrated Database from Existing Databases Recommended Adaptation Policies with Data ①Database
  • 5. ①Database 5/14 Intro. Method Result Con. Development of Database and Evaluate Accuracy Development of Spatial Database Vegetation, Weather Statistics Integrate GIS New Database RS Exisitng Databases (Data Souces) Developed Databases (Data Souces) Evaluation of Database Accuracy Result of Nonparametric Analysis of Variance (Kruskal-Wallis): No Difference (p < 0.05) ) 1 PostGIS Analyzed Colored Area Existing Zud Index by Authors Data2) 1)Angerer Zud Index by Developed Database J, Sean G, Doug T (2009) Technology Transfer Part I: Implementation of the Livestock Early Warning System in Mongolia. Global Livestock CRSP, Research Brief 09-01-GOBI, Univ. of California-Davis. 2)Chuluun T, Altanbagana M, Tserenchunt B (2011) Land degradation and desertification in Mongolia. Background paper for the Mongolia Human Development Report 2011.
  • 6. 6/10 ②Field Interview Intro. Met. Result Con. Field Interview to Herders and Mayors Steppe Zone Forest Steppe Zone Gobi Zone  Date: 9/18 – 9/30, 2012  Survey: Interview to Herders, Mayors  Area: 12 Sums, 3 Aimags (5 landscape zones) Interview to Herders Interview to Mayors
  • 7. 7 7/14 ②Field Interview Intro. Met. Result Con. Q. What information do you need for adaptation to zud?(Open Discussion) 2% Omnogobi 0% Gobi- Altai 0% 0% Tuv 0% 0% 13% 0% 2% 0% 4% 0% 18% 0% 22% Nothing in particular 44% 74% 17% 87% 11% 1% Total 1% 6% 6% Mining points within or around Sum News that relates Zud Rangeland that is warm or has no snow during winter 15% 6% 3% Weather Information Market Price 68% Information that relates government A. Weather Info, Zud Info, Market Price of Each Market, Non-Snowed Area(Herders) On the top of above, detail information with map(Mayors) →This information is already provided by government and academic institution. However, they had not reached to local people. Thus, sending system is needed for them.
  • 8. 8 8/14 ②Field Interview Intro. Met. Result Con. Q.Who is the first for you to ask for help? Relatives? Neighbors? Or community? (Gobi-Altai:N=48, Omnogobi: N=18, Tuv:N=8) 6% Govi- Altai 4% 6% Omnogobi 0% 5% Tuv 0% 0% 0% 20% 70% 100 % 89% 5% 3% 78% Total 14% Community groups Family or relatives No advices Sum government →Current communication level among herders becomes not strong. Adaptation information should be sent to each herder directly.
  • 9. 9/14 ②Field Interview Intro. Met. Result Con. Q. How will you do in next zud if it can practice early adaptation to zud? Omnogobi Tuv 4% Gobi- Altai 11% 9% 7% 0% 11% 22% 0% 28% 25% 6% 54% 37% 25% 44% 4% 6% 4% 0% Early sales or kills Total 17% Move to other rangeland Keep or buy pastures for winter No idea 26% 40% Buy livestock animals 7% Other A. Early Sales or Kills, Keep Forage, Move to Other Rangeland →Adaptation policies are listed by based on local knowledge. 13%
  • 10. 10/14 ③System Development Intro. Met. Result Con. Framework for Adaptation to Zud Data Flow for Herders and Mayors Text Based Information ・Recommended Adaptation Policy by Based on Last Zud Damage ・Market Information ・Non-Snowed Information by Using Local Location Name Map Based Information Attributes Mobile Phone Herders Server in Mobile Company PostgreSQL (Database) PC/Smart Phone Sum Mayors
  • 11. 11/14 ③System Development Intro. Met. Result Con. Developing Interface for Mayors ①Zud Information with Basic Information of each Sum ③Sum’s Location with GIS Data ②Detail Information ④Visualized Estimation of Vulnerability ⑤Recommended Adaptation Plans Interface: Flash, Map Interface: Google Maps
  • 12. 12/14 ③System Development Developing Interface for Herders Interface: Email Weekly Weather Information Recommended Adaptation Policy by Based on Last Zud Damage Market Information Non-Snowed Information by Using Local Location Name
  • 13. 13/14 Evaluation by Central Government • System Evaluation -Of course quite important. After test, we’d like to consider to introduce for whole country • Current method to send information to local herders and mayors -Local TV and Radio, Traditional Communication Method • Whole framework for zud as a country scale -Alert by Central Government, and Emergency Savings for Hazards • Current responsibility, insurance in zud information -Nothing  Date: 1/22 – 1/23, 2013  Survey: Interview to Directors of Ministry of Food and Security, Green Development, Advisor to President
  • 14. 14/14 Intro. Met. Result Conclusion Conclusion This study achieved Gaps between preparedness and awareness in government and herders. We developed WebGIS based system for zud adaptation to fit these gaps. ○Herders and mayors mainly need any kinds of zud information, weather information, market information, and migrate-able area to prevent from zud. ○Mayors and herders exchange their information by using mobile phone. However, their local communication became weak nowadays. It needs to send info directly to people. This study shows a framework for adaptation to zud. ○Framework of the system becomes 2 steps: detail information with map by based on web system for mayors, and text based simple info on cell-phone system for herders. Next Step
  • 15. Thank you for attention! Contact • Mail: perry@sfc.keio.ac.jp • Adress: Keio University Z203, Yanlab, Endo 5322, Fujisawa, Kanagawa, Japan • Tel:+81-466-49-2227 • Fax:+81-466-49-2228

Editor's Notes

  1. And I talk about the system architecture for visualizing vulnerability.This system is mainly consist of 3 parts, data storage, data input and mapping interface.GIS data that means vector data and raster data is from some data sources.So these data is managed by server manager, in this case, it’s me.But also users can some location data for example, photo and condition data in the field workby using google maps interface.These data are inputted to PostgreSQL database through CGI,.The data inputted by users are sending to mapping interface through database language in this case XML, and vector and raster data were through mapserver CGI.Users can view these data by overlay, and also can download these data.Almost all data storage system and data input system were already existing our study, so I have to devise data and mapping interface.
  2. And I talk about the system architecture for visualizing vulnerability.This system is mainly consist of 3 parts, data storage, data input and mapping interface.GIS data that means vector data and raster data is from some data sources.So these data is managed by server manager, in this case, it’s me.But also users can some location data for example, photo and condition data in the field workby using google maps interface.These data are inputted to PostgreSQL database through CGI,.The data inputted by users are sending to mapping interface through database language in this case XML, and vector and raster data were through mapserver CGI.Users can view these data by overlay, and also can download these data.Almost all data storage system and data input system were already existing our study, so I have to devise data and mapping interface.
  3. And I talk about the system architecture for visualizing vulnerability.This system is mainly consist of 3 parts, data storage, data input and mapping interface.GIS data that means vector data and raster data is from some data sources.So these data is managed by server manager, in this case, it’s me.But also users can some location data for example, photo and condition data in the field workby using google maps interface.These data are inputted to PostgreSQL database through CGI,.The data inputted by users are sending to mapping interface through database language in this case XML, and vector and raster data were through mapserver CGI.Users can view these data by overlay, and also can download these data.Almost all data storage system and data input system were already existing our study, so I have to devise data and mapping interface.