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How the EVI Works |
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EVI Mechanics |
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The EVI is based on
50 indicators for estimating the vulnerability of the
environment of a country to future shocks. These
indicators are combined by simple averaging and reported
simultaneously as a single index, a range of
policy-relevant thematic sub-indices and as a profile
showing the results for each indicator. Simple averages
across indicators were used because they can be easily
understood and more complex models do not appear to
offer any advantages to the expression or utility of the
index. This overview with drill-down structure means
that in addition to an overall signal of vulnerability,
the EVI can be used to identify specific problems. The
EVI has been designed to reflect the extent to which the
natural environment of a country is prone to damage and
degradation. It does not address the vulnerability of
the social, cultural or economic environment, nor the
environment that has become dominated by those same
human systems (such as cities and farms) because these
are included in the economic and social vulnerability
indices which are needed separately to identify
trade-offs. |
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Therefore, the
natural environment includes those biophysical systems
that can be sustained without direct and/or continuing
human support. The environment at risk includes
ecosystems, habitats, populations and communities of
organisms, physical and biological processes (such as
beach building and reproduction), productivity and
energy flows, diversity at all levels, and interactions
among them all. Each of these ecosystem goods, services
and relationships may be affected by natural and human
hazards, the risk of which may vary with time, place and
human choices and behaviour. The indicators used are
‘smart’ or end-point indicators, selected because they
signal a wide variety of conditions and processes that
must be operating well if that measure is favourable in
terms of environmental vulnerability. Smart indicators
are a way of minimising data requirements while
providing a good characterisation of environmental
vulnerability. For example, the presence in a country of
a high percentage of original forest cover automatically
indicates that all the processes that lead to
maintenance of good cover must be operating well for
that end-point to be present, without the need to
measure the many hundreds of indicators that could
individually lead to losses. The conditions present may
include good policies for preservation, low widespread
degradation, sufficient renewable water recharge, and
little problem with acid rain.
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There are three
distinct aspects of vulnerability recognisable for
environmental, economic and social aspects of countries,
all of which need to be evaluated to provide an overall
sense of the issues at play. These are the risks
associated with hazards, resistance and acquired
vulnerability (damage). The first aspect relates to the
likelihood of hazards coming into play, while the latter
two aspects are related to the ability of the
environment to withstand the effects of hazards. In the
EVI, indicators were specifically selected to ensure
that information on these three aspects is incorporated
in the overall vulnerability of countries. There are 32
indicators of hazards, 8 of resistance and 10 that
measure damage. The hazard indicators relate to the
frequency and intensity of hazardous events. The
resistance indicators refer to the inherent
characteristics of a country that would tend to make it
more or less able to cope with natural and anthropogenic
hazards. This includes measures such as absolute size
(there are fewer options for refuges in small countries)
and number of shared borders (there are greater risks of
transboundary effects). Damage indicators relate to the
vulnerability that has been acquired through loss of
ecological integrity or increasing levels of degradation
of ecosystems. The underlying assumption is that the
more degraded the ecosystems of a country (as a result
of past natural and anthropogenic hazards), the more
vulnerable it is likely to be to future hazards.
Indicators were also selected to ensure a good spread of
information across the different elements that comprise
and/or affect ecosystems. Indicators on weather &
climate (6 indicators), geology (4), geography (6),
ecosystem resources & services (28) and human
populations (6) were chosen to ensure a good
cross-section of the ecological processes, including
human interactions occurring in countries.
For most
indicators, signals are based on average levels observed
over the past 5 years, but may include data for much
longer periods for geological events. The indicators
signal risk potentials based on the experience of the
immediate past because these are the influences most
likely to affect short-term trends in environmental
vulnerability and how ecosystems may respond to hazards
compared with the years preceding them. This does not
imply that that there are no effects of older events,
only that the EVI has been designed to focus on this
time frame. With repeated evaluations, the EVI will
demonstrate changes in otherwise longer-term processes.
The outcome of this strategy will be an understanding
that for a while after an event, vulnerability to future
hazards is elevated. The short timeframe also allows
improvements to be measured quickly for indicators that
can be directly influenced by human action.
All of the EVI’s
indicators are transformed to a common scale so that
they can be combined by averaging, and to facilitate the
setting of thresholds of vulnerability. This new scale
has been designed to reflect the environmental
vulnerability associated with each indicator, regardless
of any other scale on which an indicator could
simultaneously exist. The EVI scale was defined as
ranging between a value of 1 (indicating high resilience
/ low vulnerability) and 7 (indicating low resilience /
high vulnerability). The EVI scale was determined
separately for each indicator, is designed to be policy-
elevant, and is based on the best available scientific
information. |
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Building
Resilience in SIDS. The Environmental Vulnerability
Index. 2005 |
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