Upload
lana-burnett
View
27
Download
4
Embed Size (px)
DESCRIPTION
Approaches to a VULNERABILITY Assessment. Sylvia Prieler May 26, 2004 Land Use Project IIASA. Vulnerability approach. Define scope Qualitative - CONCEPTUAL FRAMEWORK general; case specific Quantitative – a) Determine INDICATORs b) Methodology Strategies to reduce vulnerability. - PowerPoint PPT Presentation
Citation preview
Approaches to aApproaches to aVULNERABILITY AssessmentVULNERABILITY Assessment
Sylvia PrielerSylvia Prieler
May 26, 2004May 26, 2004
Land Use ProjectLand Use Project
IIASAIIASA
Vulnerability approachVulnerability approach
1.1. Define scopeDefine scope
2.2. QualitativeQualitative - - CONCEPTUAL FRAMEWORKCONCEPTUAL FRAMEWORKgeneral; case specific general; case specific
3.3. QuantitativeQuantitative – – a) Determine INDICATORsa) Determine INDICATORsb) Methodologyb) Methodology
4.4. Strategies to reduce vulnerabilityStrategies to reduce vulnerability
Climatic variability - impact on agricultural
production – vulnerability of the people
Where are people most vulnerable to climatic variability and why?
CONCEPTUAL FRAMEWORKCONCEPTUAL FRAMEWORK
Qualitative
PEOPLE’s vulnerability
rural / urban
CLIMATICVARIABILITYa) inter annual variabilityb) extreme events
AGRICULTURAL PRODUCTION
ENVIRONMENTLand availabilitySoil sealing (urbanization)Soil degradation, erosion Water availabilityGroundwater depletionWater pollutionDeforestation
STRESSOR EXPOSURE & Sensitivity
ADAPTIVE CAPACITY
AGRICULTURAL MANAGEMENT& TECHNOLOGYCrop choiceIrrigationInput (fertilizer,…)
ECONOMICGDP/capitarural/urbanAccess to markets
POPULATION STRUCTUREAge distributionEducation
POLICY & INSTITUTIONSInvestment in infrastructureLand tenure
SOCIOECONOMICMacroeconomic impactPolicies (land tenure, irrigation infrastructure)
Key issues Key issues in CONCEPTUAL in CONCEPTUAL FRAMEWORKFRAMEWORK
Qualitative
People rural/urban
Agric. Prod. variability
WATERECONOMY
LAND
Climate variability
Policy &INSITUTIONS
People - URBANIZATIONPeople - URBANIZATION
Surplus rural laborestimates are 30% or 120-150 mio.
Income disparity between rural and urban areasper capita annual disposable income: factor 2.2 (1994 and 2000)
Qualitative
MIGRATION to urban areas
Population in 2001:Rural: 796 mio. (62%)Urban: 481 mio. (38%)
0
200
400
600
800
1000
1200
1400
1980 1985 1990 1995 2000
mio
. p
eop
le
rural urban
People - URBANIZATIONPeople - URBANIZATION
Government promotes urbanization WTO membership
Future: increasing urbanization Scenarios: by 2030 at 55 to over 60%
Qualitative
Challenge: loss of cultivated land
good arable land; farmers loose their farmland (estimates at 1.5 mio. every year in last decade)ratio: cultiv. land / rural labor is decreasing
Increasing water demand of urban household
INDICATORSINDICATORS
Proxy indicators for describing agricultural production variability
aridity index; length of growing period; rainfed potential grain production; actual grain production
a) rainfed b) irrigated
Quantitative
INDICATORSINDICATORS
Quantitative
Proxy Indicator VULNERABILITY low ………. …… …. high
PEOPLE urban population share urban…. semi-rural …… rural ECONOMY GDP/capita high ……………………low WATER irrigation irrig. share in cultiv. area high …………………… low water avail. water resources / capita LAND cultivated area
population / cultiv. area rural pop. / cultiv. area rur. labor force / cultiv. area
low …………………….. high
INDICATORS - MethodologyINDICATORS - Methodology
Quantify by ranking across the country Use threshold given by certain ‘sustainability indicators’
cultiv. land / capita (0.4ha/capita)
GIS overlay techniques
formulate relevant questions:LGP < 180 + LGP CV > 5% + irrig.share < 60% + ….Where are these areas?How many people are affected by such conditions?
Quantitative
INDICATORS - MethodologyINDICATORS - Methodology
Total areahyperarid
arid
semiarid
dry subhumid
humid
Agricultural area Population
Quantitative
Distribution of ARIDITY INDEX (average climatic conditions)
Population living in areas classified as Semiarid Environments (0.2<=P/ ET0<0.5)
0.60.81.01.21.41.61.82.02.2
avg
1959
1961
1963
1965
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
Are
a [
mio
. sq
km
]
0
5
10
15
20
25
Po
pu
lati
on
[%
]
Area Population
THANK YOUTHANK YOU