Time Series LULC
Decrease in agricultural area - increase in urbanization
Cropland degradation
Standardization
Gridded monthly rainfall
Coefficient of variation
Standardization
Gridded monthly Tmax
Coefficient of variation
Standardization
Gridded monthly Tmin
Coefficient of variation
Standardization
Flood inundation
Inundated area X Frequency
Standardization
Expo
sure
Cropping frequency
Single/Double/tripple(Kharif/Rabi/Zaid)
Ranking/Standardization
Soil Datbase
Soil Quality Index
Standardization
Agriculture dependent population
Standardization
Sens
itivi
tyPo
tent
ial I
mpa
ct
Irrigation support
Block wise irrigated area/block area
Standardization
Literacy rate
Standardization
Road Density
Standardization
Adap
tive
Cap
acity
Agr
icul
tura
l Vun
erab
ility
Wei
ghte
d Ar
ithm
atic
Aggr
egat
ion
Wei
ghte
d Ar
ithm
atic
Aggr
egat
ion
Wei
ghte
d Ar
ithm
atic
Aggr
egat
ion
Effects of extream climatic events on Kharif rice production in Odisha Flood Severe Flood Cyclone Severe Cyclone Drought Severe Drought Moisture Stress
PURI
KHORDHA
BHADRAK
KENDRAPARA
JAGATSINGHPUR
Puri
Khurda
Cuttack
Bhadrak
Balasore
Berhampur
Bhubaneswar
Jagatsinghapur
Population (2011)< 200000
200001 - 400000
400001 - 600000
600001 - 800000
> 800000
5 m contour
Chilka
Mahanadi R.
B AY
OF
BE
NG
AL
District boundary
0 50 10025 Kilometers
VulnerabilityVery Low
Low
Medium
High
Very High
0 25 5012.5 Km
Adaptive Capacity0.00 - 0.20
0.21 - 0.40
0.41 - 0.60
0.61 - 0.80
0.81 - 1.000 25 5012.5 Kilometers
Low
High
Sensitivity0.00 - 0.20
0.21 - 0.40
0.41 - 0.60
0.61 - 0.80
0.81 - 1.000 25 5012.5 Kilometers
Low
High
Exposure0.00 - 0.20
0.21 - 0.40
0.41 - 0.60
0.61 - 0.80
0.81 - 1.000 25 5012.5 Kilometers
Low
High
Agricultural vulnerability to climate change is the function of characteristics of climate variability, magnitude, and rate of variation within the agricultural system, and the systems sensitivity and adaptive capacity, and it is the degree to which the agricultural system is susceptible to, or unable to cope with adverse effects of climate change including climatic variability and extreme events.
The objective of the study was to assess the agricultural vulnerability of the Mahanadi Delta with respect to climate change.
Extent 85o40'E 86o45'E20o35'N
19o40'N
Five districts have been taken based on the intersection of bebelow 5 m elevation zone
Mahanadi Delta is one of the largest deltas on the east coast of India.
Climate: Tropical with hot humid monsoon
Population: Around 6 million (2011)
Legend
V
V=f(E,S,AC) AR4, IPCC, 2007
V=(E-AC) x SV=Agricultural VulnerabilityE=ExposureAC=Adaptive CapacityS=Sensitivity
Flood plays major role in agricultural vulnerability of the Delta.Proper flood management may reduce the susceptibility of agriculture to vulnerability.
The most vulnerable block has been assed to be Delanga followed by Pipili and Astaranga block. Bhubneswar has been assed to be one of the least vulnerable block of the Delta
This work was carried out under the Collaborative
Adaptation Research Initiative in Africa and Asia
(CARIAA), with financial support from the UK
Governments Department for International
Development (DFiD) and the International
Development Research Centre (IDRC), Canada. The views expressed in
this work are those of the creators and do no
necessarily represent those of DFiD and IDRC or
its Board of Governors. www.deccma.com
D E C C M A
Amit Ghosh & Sudipa PalSchool of Oceanographic Studies, Jadavpur University 4th Consortium Workshop, January 2016