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74

Another disadvantage of climate change forecasts

lays in the use of Global Climate Models (GCM) for

prediction of climate change and the downscaling

resolution (20–25 km)

(Climateprediction.net

2015) practised under regional models used in the

countries. For example, the methodology used for

climate change forecasts and projection described

in Georgia’s Third National Communication to

UNFCCC is sufficient for demonstrating climate

change trends at the country level, but is not

precise enough for vulnerability assessments at the

municipal or community levels given the country’s

complicated mountain terrain (MoENRP 2015). This

disadvantage, certainly common for many countries,

can be tackled through improvement of the existing

monitoring/observation networks and climate

modelling capacity building of relevant agencies.

In addition, it is assumed that some data can be

obtained through knowledge sharing with regional

and/or international bodies and from information

sources which can provide updated methodologies

for monitoring/observation.

Vulnerability assessments and research

Indicators

The section above lists certain challenges and

disadvantages that are evident in the monitoring/

observation and modelling of climate exposure.

A much more complicated issue is measuring the

climate change sensitivity of ecosystems, including

mountain ones, and economic sectors. Here, the

setting of comprehensive and consistent quantitative

and qualitative indicators for each sector or ecosystem

is key. However, a comparison of sensitivity in a

spatial context to expose the most sensitive areas

of a country is hampered by: a) lack of sufficient

observational data, b) lack of applicable statistical

data, both from a historical and contemporary,

perspective, and c) lack of spatial data.

Currently, almost all initiatives on climate change

vulnerability assessments use their own sets of

indicators, which are often created without the

consultation or agreement of the responsible

government authorities. Studies and research papers

are fragmented and, therefore, it is hard to create a

comprehensive picture of sensitivity and to judge

which economic sector or type of ecosystem is more

sensitive to climate impacts at a country level.

Moreover, most of the studies, completed so far, are

quite general and sometimes based on assumptions,

and their applicability under concrete local

adaptation action planning is rarely feasible. Policy

documents also point to the fragmented nature and

shortcomings of the research, and many of the policy

documents recommend further assessments for

different sectors.

Similar problems are observed when evaluating

the adaptive capacity of climate sensitive sectors

or ecosystems, without assessment of which

vulnerability to climate change cannot be assessed.

Therefore, assessment of the vulnerability of

mountain regions/ecosystems to climate change can

often only be evaluated on the basis of sets of general

assumptions, thus making prioritization of climate

action in a country context rather complicated.

Methodology and research

As mentioned above, almost all climate adaptation

initiatives are using their own methodology –

as government agencies are unable to provide

common, formally agreed and adopted methods for

vulnerability assessments. Many of those assessments

do not share the same approaches for data collection,

indicator selection, and methods of analysis. Due

to fact that there is insufficient official data within

relevant government agencies, they are often forced to

collect information through surveys, questionnaires,

etc. As a result, information collected is not always

reliable or representative; many projects/initiatives

are also overlapping each other. Therefore, as was

already underlined above, it is hard to compare or

find correlation between existing studies and identify

vulnerability areas at a country level.

Areas uncovered by studies

As mentioned above, existing studies are fragmented

and do not always cover the entire territory of the

countries; therefore forecasts are often unreliable. In

addition, there are some sectors, which are not yet

covered by any studies, e.g. energy sector vulnerability

and a number of others. Studies identifying potential

financial losses from climate change impacts are also

very limited or almost absent.

In one remarkable study, conducted under the Third

National Communication of Georgia to the UNFCCC,

a group of experts assessed the vulnerability of the

cultural heritage of one of the mountain regions

of Georgia (Upper Svaneti). It was made clear that

climate change will affect this sector,

inter alia

through

the increased frequency of different natural disasters

such as wind erosion, heavy rainfalls, extreme

temperatures, etc. However, no further research has

been conducted on this sector.

Fragmentation is common for the studies such as on

forests, biodiversity, land resources, agriculture, water,

protected areas, tourism, glacier fluctuation, physical

infrastructure vulnerability (settlements, railroads,

roads, etc.). Existing reports on vulnerability

assessments broken by sector and country typically