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Climate change impacts and vulnerability in Europe 2016

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<strong>Climate</strong> <strong>change</strong> <strong>impacts</strong> on society<br />

Nations Sendai Framework for Disaster Risk Reduction<br />

(UN, 2015), which has been endorsed by the EU <strong>and</strong><br />

the EEA member <strong>and</strong> cooperat<strong>in</strong>g countries, requires<br />

structured evaluation, record<strong>in</strong>g <strong>and</strong> shar<strong>in</strong>g of data<br />

about economic <strong>impacts</strong> of natural hazards <strong>and</strong><br />

disasters. The Framework entails a target of reduc<strong>in</strong>g<br />

direct disaster economic losses <strong>in</strong> relation to global<br />

GDP by 2030 compared with 2005–2015 basel<strong>in</strong>es. In<br />

parallel, the <strong>Europe</strong>an Union Civil Protection Mechanism<br />

(EU, 2013) compels the EU Member States to conduct<br />

risk assessments, <strong>and</strong> where possible also <strong>in</strong> economic<br />

terms, at national or appropriate sub-national level. For<br />

both purposes, the JRC is develop<strong>in</strong>g loss <strong>in</strong>dicators that<br />

should be part of operational disaster loss databases<br />

(De Groeve et al., 2013, 2014; JRC, 2015).<br />

The EU strategy on adaptation to climate <strong>change</strong><br />

(EC, 2013) has called for better <strong>in</strong>formed decision‐mak<strong>in</strong>g<br />

through, among other th<strong>in</strong>gs, improved damage <strong>and</strong> risk<br />

assessment <strong>and</strong> a thorough assessment of adaptation<br />

costs <strong>and</strong> benefits. The adaptation strategies that are<br />

to be developed by Member States ought to be closely<br />

connected to disaster risk management plans <strong>and</strong><br />

actions.<br />

Indicator selection<br />

The subsequent parts of this section present <strong>in</strong>formation<br />

on the follow<strong>in</strong>g <strong>in</strong>dicator: economic losses from<br />

climate‐related extremes.<br />

A review is also presented of data sources on the<br />

number of climate extremes for which economic <strong>and</strong>/or<br />

human <strong>impacts</strong> have been recorded. This <strong>in</strong>formation is<br />

provided primarily to contextualise <strong>in</strong>formation on the<br />

above-mentioned <strong>in</strong>dicator, <strong>and</strong> it is not presented <strong>in</strong><br />

<strong>in</strong>dicator format.<br />

Information on environmental, health <strong>and</strong> social <strong>impacts</strong><br />

is also presented <strong>in</strong> various other parts of the report,<br />

e.g. <strong>in</strong> Section 4.4.6 (forest fires), Section 5.2 (health risks<br />

of climate extremes), Section 5.3.4 (effect of climate<br />

extremes on agricultural yield) <strong>and</strong> Section 6.2 (exposure<br />

to multiple climatic hazards).<br />

Data quality <strong>and</strong> data needs<br />

<strong>Europe</strong>-wide assessments of natural disasters <strong>and</strong> their<br />

<strong>impacts</strong> rely on global databases, <strong>in</strong> particular EM‐DAT<br />

from CRED ( 71 ), the Dartmouth Flood Observatory<br />

(DFO) ( 72 ) <strong>and</strong> NatCatSERVICE of Munich RE ( 73 ). The<br />

databases are compiled from various sources; the<br />

differences <strong>in</strong> def<strong>in</strong>itions, thresholds, classification<br />

criteria, report<strong>in</strong>g approaches, etc., are to be taken <strong>in</strong>to<br />

account when <strong>in</strong>terpret<strong>in</strong>g the data. In general, larger<br />

disasters are captured well <strong>in</strong> these databases. However,<br />

they are less accurate for smaller events, which still may<br />

have a significant impact (WHO <strong>and</strong> PHE, 2013).<br />

DFO considers only flood events or natural hazards<br />

where flood<strong>in</strong>g has happened. Information for <strong>Europe</strong><br />

on all types of natural hazards can be extracted<br />

from global disaster databases, such as the EM-DAT<br />

database, which places a particular focus on human<br />

fatalities <strong>and</strong> displaced <strong>and</strong> affected people, <strong>and</strong><br />

the NatCatSERVICE database, which provides more<br />

comprehensive data on <strong>in</strong>sured <strong>and</strong> overall losses.<br />

The 'disaster thresholds' for an event to be <strong>in</strong>cluded <strong>in</strong><br />

these global databases are as follows:<br />

• EM-DAT: 10 or more people killed <strong>and</strong>/or 100 or<br />

more people affected <strong>and</strong>/or declaration of a state of<br />

emergency <strong>and</strong>/or call for <strong>in</strong>ternational assistance;<br />

• NatCatSERVICE: small-scale property damage <strong>and</strong>/<br />

or one fatality. In addition, Munich RE uses different<br />

classes to classify the events.<br />

Over recent years, these global databases have<br />

been harmonised <strong>and</strong> better coord<strong>in</strong>ated, but some<br />

differences rema<strong>in</strong> <strong>and</strong>, although dur<strong>in</strong>g the past<br />

decades both databases have improved their report<strong>in</strong>g,<br />

caution is still needed <strong>in</strong> formulat<strong>in</strong>g conclusions about<br />

observed <strong>change</strong>s. In addition, both databases are less<br />

suitable for analys<strong>in</strong>g the <strong>impacts</strong> of smaller events or<br />

for analyses at the sub-national level. However, despite<br />

these considerations, both databases serve as a good<br />

start<strong>in</strong>g po<strong>in</strong>t for gett<strong>in</strong>g an overview of the human<br />

<strong>impacts</strong> <strong>and</strong> economic costs of disasters <strong>in</strong> <strong>Europe</strong>.<br />

The economic loss records reviewed <strong>in</strong> Section 5.1.3<br />

have been converted to euros (2013 value). For the<br />

purpose of cross-country comparison, the loss records<br />

have been normalised us<strong>in</strong>g the Eurostat collection<br />

of economic <strong>in</strong>dicators. Data from earlier years have<br />

been completed from the annual macro-economic<br />

database of the <strong>Europe</strong>an Commission (AMECO), the<br />

International Monetary Fund (IMF) World Economic<br />

Outlook (WEO), the Total Economy Database (TED), <strong>and</strong><br />

the World Bank's database ( 74 ).<br />

( 71 ) http://www.emdat.be.<br />

( 72 ) http://floodobservatory.colorado.edu.<br />

( 73 ) http://www.munichre.com/en/re<strong>in</strong>surance/bus<strong>in</strong>ess/non-life/georisks/natcatservice/default.aspx.<br />

( 74 ) See http://ec.europa.eu/economy_f<strong>in</strong>ance/db_<strong>in</strong>dicators/ameco/<strong>in</strong>dex_en.htm (AMECO), https://www.imf.org/external/pubs/ft/weo/2015/02/<br />

weodata/<strong>in</strong>dex.aspx (WEO), https://www.conference-board.org/data/economydatabase/ (TED) <strong>and</strong> http://data.worldbank.org (World Bank's<br />

database).<br />

<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> <strong>2016</strong> | An <strong>in</strong>dicator-based report<br />

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