dc.description.abstract |
A number of different methods and approaches have been used to assess household
vulnerability. The vulnerability index is the most commonly applied method to assess
vulnerability quantitatively based on a specific set of proxy indicators. This paper
focuses on developing a vulnerability index using publicly available and periodically
updated official statistics and census data in Sri Lanka to assess household
vulnerability to climate change in the agriculture sector. Further, the
Intergovernmental Penal on Climate Change framework has been used as the basis for
this assessment. This framework consists of three key elements of vulnerability to
climate change and variability, namely exposure, sensitivity, and adaptive capacity.
The key assessment approaches for this study include socio-economic, biophysical
(impact assessment), and integrated assessment. The development of the tools was
performed in multiple stages: (1) three major hazards were prioritized using
'DesInventar', a database maintained by the Disaster Management Centre, Sri Lanka;
(2) computation of the exposure, sensitivity, and adaptive capacity was done through
data screening approach through publicly available statistics and census data, and
around 500 indicators were selected for review; and (3) the review of the selected
indicators against three determinants of vulnerability. The data was then normalized
and merged to develop sub-indexes for exposure, sensitivity, and adaptive capacity,
and thereby climate vulnerability index was determined for each district. The
publication of such a periodic climate vulnerability index targeting the agriculture
sector for all the districts in Sri Lanka will help implement policy decisions at national
and sub-national levels. It will further support the development planners to prioritize
adaptation strategies and rationalize resource allocations in the agriculture sector. |
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