Presentation in the context of the "World Symposium on Climate Change Adaptation" and the "3rd World Climate Teach-In Day“ by The Catalan Office for Climate Change.

1. A Global Indicator of Climate Change
Adaptation in Catalonia
The Catalan Office for Climate Change
Presentation in the context of the "World Symposium on Climate Change Adaptation" and the
"3rd World Climate Teach-In Day“
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OUTLINE
• Introduction
• Preparatory work for the creation of the indicator
• Results
• Conclusions
• Some questions

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The Catalan Strategy for Adapting to Climate
Change 2013-2020 (ESCACC)
WHY DOES ESCACC PROPOSE 182 MEASURES?
TO BE LESS VULNERABLE TO CLIMATE CHANGE IMPACTS THROUGH THE
GENERATION AND TRANSFER OF KNOWLEDGE (CONADAPT) AND INCREASING
OUR ADAPTIVE CAPACITY (CAPADAPT)
Introduction

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aims at testing innovative solutions in order to adapt agro-
forest and urban systems to climate change in three representative river
basins from Catalonia (Muga, Ter and Segre).
is a five-year project (2013-2018) funded by the LIFE+
Programme (Environmental Policy and Governance) of the EU and with the
participation of four different institutions.
Life+
Introduction

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ESCACC proposes the establishment of a monitoring system and indicators for
the adaptation measures, in order to evaluate how well climate change
adaptation is progressing. In other words, a system to determine the
effectiveness of the measures to adapt to the impacts of climate change.
Introduction
LIFE MEDACC establishes that it is necessary to compile and review
methodologies by means of statistical analysis or an analysis of the existing
literature for climate change in order to develop a set of indicators of
adaptation to the impacts of climate change.

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Basic requirements of indicators:
Accessibility of information
Historical data
Easy to interpret
Specific data to the Catalan country
Agriculture & livestock 5
Biodiversity 3
Water management 2
Forest management 12
Industry, services & trade 6
Mobility & Transport
infrastructure
4
Fishing & marine ecosyst. 3
Health 13
Energy 10
Tourism 13
Urban planning & housing 9
R&D 3
ESCACC adaptation measures
Phase 1: preparatory
work83 indicators
12 sectors/systems
Preparatory work

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83 indicators
12 sectors/systems
ESCACC adaptation measures
Phase 1: preparatory work
50 indicators
11 sectors/systems
Phase 2: later selection
Preparatory work

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Criteria for selection:
Quantify the outcome of
adaptation actions
Qualitative indicators
(planning)
Measure of sensitivity or
degree of exposure
Agriculture & livestock 5 5
Biodiversity 3 2
Water management 2 2
Forest management 12 8
Industry, services & trade 6 4
Mobility & Transport
infrastructure
4 4
Fishing & marine ecosyst. 3 0
Health 13 8
Energy 10 4
Tourism 13 6
Urban planning & housing 9 6
R&D 3 1
ESCACC adaptation measures
83 indicators
12 sectors/systems
Phase 1: preparatory work
50 indicators
11 sectors/systems
Phase 2: later selection
Preparatory work

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or illustration of your choice
83 indicators
12 sectors/systems
ESCACC adaptation measures
Phase 1: preparatory work
50 indicators
11 sectors/systems
Phase 2: later selection
29 indicators
10 sectors/systems
PRINCIPAL
COMPONENT ANALYSIS
(PCA)
Phase 3: final treatment
Preparatory work

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Requirements for final treatment:
Historical data based on at
least 10 consecutive years
Qualitative indicators
(planning)
Unavailability annual data
Not enough observations
Agriculture & livestock 5 5 1
Biodiversity 3 2 0
Water management 2 2 2
Forest management 12 8 3
Industry, services & trade 6 4 4
Mobility & Transport
infrastructure
4 4 5
Fishing & marine ecosyst. 3 0 0
Health 13 8 4
Energy 10 4 3
Tourism 13 6 3
Urban planning & housing 9 6 3
R&D 3 1 1
ESCACC adaptation measures
83 indicators
12 sectors/systems
Phase 1: preparatory work
50 indicators
11 sectors/systems
Phase 2: later selection
29 indicators
10 sectors/systems
PRINCIPAL
COMPONENT
ANALYSIS (PCA)
Phase 3: final treatment
Preparatory work

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Results
29 indicators 20 were more related to climate change adaptation
and 9 were more related to mitigation

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Results

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Results
The information included in each indicator was organized in a data-sheet
format with the following sections:
1. Sector indicator – name of the indicator.
2. Operational objective – CONADAPT (to generate and transfer
knowledge of climate change adaptation) or CAPADAPT (to
increase the adaptive capacity of sectors and/or systems).
3. Measure(s) to which it responds – adaptation measure(s) to
which the indicator corresponds.
4. Source – information source (direct and indirect sources are
differentiated).
5. Methodology – explanation of the methodology used by the
information source to obtain the numerical data.
6. Data – numerical values of the indicator by year (table).
7. Graphic representation – of the data.
8. Desired trend of the adaptation – description of the direction the
indicator must take in order to achieve a more effective adaptation,
i.e. whether it should increase or decrease. This is a way of
explaining how to interpret the indicator and its evolution.

14. agriculture and
livestock; 10%
forest management;
10%
industry, services and
trade; 6%
mobility and
transport
infrastructure; 6%
RDI; 3%
health; 10%
energy; 8%
urban planning and
housing; 6%
tourism; 6%
water management;
35%
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Results
ESCACC adaptation measures
83 indicators
12 sectors/systems
Phase 1: preparatory work
50 indicators
11 sectors/systems
Phase 2: later selection
29 indicators
10 sectors/systems
PRINCIPAL
COMPONENT
ANALYSIS (PCA)
Phase 3: final treatment
Weight percentages of the indicators by sector

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FACTOR 1
61% variability
FACTOR 2
39% variability
Use of resources
(primarily water and
energy)
Environment quality
(primarily atmospheric
emissions)
5,06 5,134,97 5,06
0,00
2,00
4,00
6,00
8,00
10,00
Use of resources (primarily water
and energy)
Environmental quality (primarily
atmospheric emissions)
2005 2011
Results

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First synthetic indicator of climate change adaptation in Catalonia based on
principal component analysis.
The synthetic indicator of adaptation is determined by two factors that explain 100%
of the variability of the information contained in 29 indicators.
The result of both factors shows a medium level of adaptive capacity to the
impacts of climate change in Catalonia.
These results indicate that it is necessary to invest in adaptation.
Indicators need to be reviewed every 5-10 years.
Biodiversity requires a more qualitative assessment.
The fisheries sector requires more knowledge-based of impacts.
Conclusions

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Some guiding questions
• how could we integrate qualitative indicators?
• it's a useful indicator for policy-making purposes?
• an indication of progress rather than an evaluation of effectiveness?

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THANK YOU VERY MUCH FOR
YOUR ATTENTION!
Gabriel Borràs & Salvador Samitier
OCCC@gencat.cat
http://canviclimatic.gencat.cat/en/index.html