ركبملا كرّحتلاو ركبملا هيبنتلا14.5 15 15.5 16 16.5 17 17.5 18 Usgure haji...

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“Building Resilience by Linking Community Based Early Warning Systems to Informal Safety Nets in Somalia” Abdullahi M. Yussuf (Country Director, CARE Somalia) Mr Abdirizak Nur (Somalia deputy representative FEWS NET) Dr. Georgina Jordan (SomReP Quality Assurance and Knowledge Manager ) 2nd Arab Conference on Disaster Risk Reduction Sharm-el-Sheikh, Egypt, 14-16 September 2014 Alerte précoce, Action rapide التنبيه كّ المبكر والتحر المبكر

Transcript of ركبملا كرّحتلاو ركبملا هيبنتلا14.5 15 15.5 16 16.5 17 17.5 18 Usgure haji...

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“Building Resilience by Linking Community Based Early Warning Systems to Informal Safety Nets in Somalia”

Abdullahi M. Yussuf (Country Director, CARE Somalia)

Mr Abdirizak Nur (Somalia deputy representative FEWS NET) Dr. Georgina Jordan (SomReP Quality Assurance and Knowledge Manager )

2nd Arab Conference on Disaster Risk Reduction Sharm-el-Sheikh, Egypt, 14-16 September 2014

Alerte précoce, Action rapide

المبكرالمبكر والتحّرك التنبيه

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__________________________________________ FAMINE EARLY WARNING SYSTEMS NETWORK

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Presentation Outline

• Early warning systems in Somalia

• Key climate risks faced in Somalia

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__________________________________________ FAMINE EARLY WARNING SYSTEMS NETWORK

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Early Warning Systems in Somalia

• Famine Early Warning Systems Network (FEWS NET)

o since 1985 worldwide, since 1995 in Somalia

o Leading provider of information and analysis on food security

• Resources for governments, international relief agencies, NGOs, researchers,

humanitarian response planers, and journalists

o To project food security outcomes in the future FEWS NET develops a set

of assumptions

• regarding likely events, their effects, and probable responses of various actors

o Assumptions are interpreted in the context of the current conditions and

local livelihoods to arrive at a most likely scenario

• Typically for six months

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__________________________________________ FAMINE EARLY WARNING SYSTEMS NETWORK

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Early Warning Systems in Somalia

Other information collection bodies in Somalia and FEWS NET’s partners

o Food Security and Nutrition Analysis Unit (FSNAU)

• A project managed by Food and Agriculture Organization (FAO)

• A primary source for information on food security, nutrition, and livelihoods in Somalia

o Somalia Water and Land Information Management (SWALIM)

• an information management unit within FAO Somalia focusing on water and rainfall

o Somalia Resilience Program (SomRep)

• A multi-year effort by seven leading NGOs

• Includings World Vision, Oxfam, DRC, COOPI, CARE, ADRA, and ACF

• Designed to tackle the challenge of recurrent droughts and reduce chronic

vulnerability through early action

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__________________________________________ FAMINE EARLY WARNING SYSTEMS NETWORK

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Early Warning Systems in Somalia

National disaster management agencies

o National Environment Research and Disaster Preparedness and

Management Authority (NERAD) in Somaliland

o Humanitarian Affairs and Disaster Management Agency (HADMA)

in Puntland

o Somali Disaster Management Agency (SDMA) in South-Central

Somalia

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Sources of Data and Tools : Livelihoods

6 __________________________________________

FAMINE EARLY WARNING SYSTEMS NETWORK

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Sources of Data and Tools : Remote Sensing

7 __________________________________________

FAMINE EARLY WARNING SYSTEMS NETWORK

• Mapviewer (USGS)

• RFE rainfall plots

http://earlywarning.usgs.gov/fews/mapv

iewer/

CHIRPS - monthly

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Sources of Data and Tools : FEWS NET Data

Portal

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FAMINE EARLY WARNING SYSTEMS NETWORK

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Sources of Data and Tools :

Water Requirements Satisfaction Index (WRSI)

9 __________________________________________

FAMINE EARLY WARNING SYSTEMS NETWORK

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Sources of Data and Tools :

Regional and National Climate Partners

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FAMINE EARLY WARNING SYSTEMS NETWORK

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Sources of Data and Tools : Market Information

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FAMINE EARLY WARNING SYSTEMS NETWORK

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Sources of Data and Tools : Databases

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FAMINE EARLY WARNING SYSTEMS NETWORK

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9 Steps of Scenario Development

STEP 1: Set scenario parameters

STEP 2: Describe and classify current food

security

STEP 3: Develop key assumptions

STEP 4: Describe impacts on HH income

sources

STEP 5: Describe impacts on HH food

sources

STEP 6: Develop response assumptions

STEP 7: Describe and classify projected HH

food security

STEP 8: Describe and classify projected area food security

STEP 9: Identify events which could

change the scenario

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Examples of Early Warning : Price Projections

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Key Climate Risks

• Drought

• Floods

• Cyclones

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Key Climate Risks: River Flooding

• The Shabelle

River routinely

breaks 12

points within 90

km

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Key Climate Risks: Cyclones 2014 cyclone impacts in Jariban Town, Dangorayo, Iskusuban, and Bay Districts in Puntland

Source: HADMA

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Early Warning Products

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Livelihood viability & innovation

(Livelihood

& Community Assets)

Safety Nets

(Collective Action &

Community Assets

Governance of community

assets

(Collective Action)

Ecosystem health

(Community

Assets)

SYSTEMIC ANALYSIS OF VULNERABILITY ( targeting improvements of absorptive, adaptive transformative capacity)

Som ReP Program Results

Adaptive Capacity Transformative Capacity Absorptive Capacity

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Absorptive Capacity Building – SomReP

Result 2

• Organizing community DRR groups

• Identifying hazards, threats and risks

• DNH assessment and planning

• DRR planning and action planning

Disaster Risk Reduction

• Self help groups for vulnerable HHs (savings)

• seed & fodder banks

• Crisis modifier fund ( SomReP TU)

• Link to Early Action system

Contingency resources

• Community based monitoring by DRR groups

• Linked to NGOs for crisis modifier fund

• Linked to FSNAU & FEWSNET to provide macro level data

Early Action

System

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SomReP Safety Net System – Absorptive

Capacity

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Absorptive Capacity Over Time

Ad

aptive C

apacity

Ab

sorp

tive Cap

acity

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Early Action System

4. Actions

EWC indicators are (a) community nominated, and (b) SomReP advised

1. Data Collection

2. Early Warning Mechanism

3. Early Action Mechanism

COMMUNITY EARLY WARNING SYSTEM

Data collected & collated in Early Warning Cloud

Real time analysis by agencies

Reports produced for stakeholders

MENU OF ACTIONS

Actions triggered by shifts in meta indicator severity

Agencies’ prepared ‘Menu of Actions’

Actions scale up based on severity

NGO Safety Net

SomReP Pooled Fund

Reprogramming

Cash Programming

Advocacy

Community Safety Net

Contingency Plans

Advocacy

Community Pooled Fund

Community Based Disaster Risk Management Contingency Plans

Fast Onset Disaster Response by Agencies

feedback

Public reports produced for donors & media (advocacy)

DATA COLLECTION

FSNAU & FEWS NET (regional)

Agencies (district)

Early Warning Committees (local)

FSNAU, FEWS NET, NERAD etc

UN Safety Net

Food Programming

WFP & UNICEF

Humanitarian Donors

•Funding contingency plans

•Cash Programming

Analysis Tool

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Real Time Information Sharing

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Food Security & Livelihoods • NDVI vegetation

conditions by region

• Market Prices – Goats (local)

• Market Prices – Key commodity (cereals)

• Market Prices – Water

• Market Prices – Labour

• Rainfall

Health & Nutrition • Admission rates to

health Centres for AWDs

• Malnutrition admissions at Health Centres

• Secondary nutrition data

Conflict • HH Unseasonal

Migration

• Livestock unseasonal migration

• School pupil attendance

• Early Child Marriage

Meta Indicators Used in Crisis Modifier

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Early Action - Triggers

SomReP Early Warning Triggers:

•Specific indicators roll up into overall meta indicator severity

•Agency Menu of Actions triggered by shift in meta-indicator severity

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Crisis Modifier – Early Warning

Analysis

1. Agency meta /specific indicators (Crisis Modifier Tool) & recommended actions (Menu of Actions)

2. Community Early Warning Communities (contingency plans, indicators, consultations)

3. Historic trend data of early warning indicators

4. Third party reports i.e. FEWS NET & FSNAU, cluster reports & working groups

EVIDENCE BASED EARLY ACTION

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Crisis Modifier – Early Actions Matrix

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Early Warning Committees

• Based on Oxfam’s CBDRM model in Somaliland

• Act as sub committee of local level governance

• Develop contingency plans, monitor ‘pictoral early warning’ indicators

• Receive Early warning information from FEWS/FSNAU through mobile system & radio

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Early Action Pilot June - Oct 2014

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July 2014 Early Action Request

• Total Funding Gap Approved: USD 777, 791

• Total HH Targeted: (6438 total Households)

– Badhan: 1500 HH

– Dangorayo: 700 HH

– Eyl: 2240 HH

– El Barde: 815 HH

– Luuq: 1183 HH

• Early Actions Taken: Borehole Rehabilitation, Livestock

Vaccination, CFW, Cash Transfers, Community Conflict

Resolution (water & pasture), Water Trucking

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SomReP Early Action Pilot

Assessment

• Conducted in 3 districts: – Badhan (CARE Intl)

– Dangorayo (World Vision Somalia)

– El Barde (ACF)

• Scope: test the usefulness of each early warning indicator collected, the feasibility and importance of each in monitoring early warning at the project level, and their links to appropriate early actions

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17.5

17.3

16.8

16.5 16.3

15.1

16.6

13.5

14

14.5

15

15.5

16

16.5

17

17.5

18

Usgure haji khaeyer Buthubuto Ceel Buul Bakabaq Barweyn District Average

Coping Strategies Index -

Dangorayo

Usgure

haji khaeyer

Buthubuto

Ceel Buul

Bakabaq

Barweyn

District Average

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SomReP Action Report

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Learning & system improvement Pilot Assessment learning:

• Sample consistency issues to address

• Refinement of trigger thresholds for non-standard tools

• Refine Conflict Indicators

• Need to simplify and reduce number of collection tools

Early Action Programming learning:

• Refining menu of early actions (improving benchmarks)

• Linking PRA results & Community DRR plans to early warning triggers & actions

• District level coordination and planning on early action between UN, NGOs & local govt interventions

• Donor Engagement - standard early action template, financing options for early actions (SIDA and DFAT examples)

• Improve linkages with FAO, UNICEF & WFP for wider impact

• Evaluate, document and disseminate impact of early actions

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Next Steps – Simplify, Scale up &

Engage

• Simplify data collection & analysis & programming

• Scale up & roll out EW monitoring for NGOs

• BRCIS & SomReP joint early warning system

• Early Warning Committees to use tool for monitoring

• EW Information Sharing - Radio Ergo, SMS, community notice boards

• Market Analysis & Scenario Building training (FEWS NET)

• Market Prices, rainfall data collection to feed into FEWSNET, & FSNAU

• District early action planning with local govt, community, NGOs & UN

• Engaging donors on standardising process & funding mechanism for early action

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PRESENTATION OUTLINE

1. Village Savings and Loans Association ( VSLA) brief.

2. Critical value of Somali remittances to Social safety nets.

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Village Savings and Loans Association (VSLA)

• Approach was chosen based on the positive experiences in 21 countries in Africa by consortium member agency CARE

• We facilitate the formation of the VSLA in pastoralist communities by providing necessary support in managing the loans and recording the incomes.

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Making rural communities more resilient (rural women)

• Helps women and their households improve their economic resilience, play a greater role in local leadership and more easily access key economic resources.

• CARE research shows that rural families with access to an income stream or an asset base are better able survive drought with less loss of animals, than households whose only income is from pastoralism.

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Formation new VSLA group in Mait village

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VSLA orientation in Gudmo village

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VSLA Member presenting session during workshop

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Goods produced by VSLA groups

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Remittances

• Remittances provide an essential lifeline to and within Somalia and cushion the communities to slide into livelihood crises.

• Estimates of their annual value range from US$1 billion to $2 billion. The US is the largest source country, while an estimated $160 million is sent from the UK every year. In some parts of Somalia, 40 percent of the population receives regular remittances, with 80 percent of them spending the money on basic services.

• Approximately 40% of HHs (in Somaliland and Puntland) report receiving remittances (source: FSNAU).

• More than two decades of civil conflict have left the country’s formal economy and banking sector in ruins. Remittances have replaced this sector, not only boosting the meager incomes of families but also allowing the private sector to do business and, increasingly, providing aid agencies with a more efficient way of responding to drought and famine.

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Challenges facing remittances

• Threats to closing remittance bank accounts in remittance sending countries by legislators, particularly in the US.

• Potential of reduced remittance as the current money sending generation ages.

• Increasingly relaying on single money sender.

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