The
review and case studies provide a number of practical lessons on the
application of Portfolio Analysis to adaptation. They provide useful
information on the types of adaptation problem types where the
technique might be appropriate, as well as data needs, resource
requirements and good practice examples.
Clearly
PA is a key tool for helping to identify and analyse alternative
portfolios of adaptation options. It has a clear application in cases
where adaptation actions are likely to be complementary in reducing
climate risks. The technique is not relevant when one option addresses
the full range of uncertainty in climate impacts.
Portfolio
Analysis has a high resonance with the concepts of iterative risk
management, and addresses uncertainty by encouraging diversification (a
key part of risk management) with the use of portfolio mixes. It can be
used for economic analysis, but can also work with non-monetary
(physical) metrics and therefore can be applied in non-market sectors,
such as for ecosystem based adaptation (as in the forest case study in
the box).
However, the approach requires
benefits to be expressed in quantitative terms, either as economic
values or physical benefits, thus it is more applicable in cases where
data availability is reasonable.
Furthermore,
the application of the technique requires probabilities, which makes it
more applicable to cases where climate information is good, and some
information on climate uncertainty exists.
The
formal application is data and resource intensive, requiring a high
degree of expert knowledge, which is also a factor in considering
applicability.
Finally, in considering the
application of portfolio analysis to adaptation, a number of good
practice lessons are highlighted. As identified in the second case
study on flood risks, there can be issues of inter-dependence between
options, and it is therefore good practice to take these into account
within the PA analysis.