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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 />

temperatures have negative effects on crop yield <strong>and</strong><br />

water availability (Chall<strong>in</strong>or et al., 2014). Agriculture<br />

<strong>in</strong> the EU is, to a great extent, affected by the EU CAP<br />

(EU Regulations 1305–1308/2013), which is be<strong>in</strong>g shaped<br />

by concerns for food security <strong>and</strong> <strong>in</strong>fluenced by the<br />

need to reduce the environmental <strong>and</strong> greenhouse<br />

gas burdens from agricultural production systems.<br />

However, these <strong>in</strong>fluenc<strong>in</strong>g factors on farm<strong>in</strong>g systems<br />

have different time dimensions, where <strong>change</strong>s <strong>in</strong> the<br />

agricultural policy mostly operate on a short time scale<br />

<strong>and</strong> the need for adaptation <strong>in</strong> many cases has a longer<br />

time horizon. With<strong>in</strong> the CAP, the need to consider the<br />

use of various <strong>in</strong>struments is considered under the<br />

rural development pillar for support<strong>in</strong>g adaptation, <strong>in</strong><br />

particular where climate <strong>change</strong> results <strong>in</strong> the need for<br />

<strong>change</strong>s <strong>in</strong> farm<strong>in</strong>g systems <strong>in</strong> l<strong>and</strong> use. The adaptations<br />

are highly regionally specific depend<strong>in</strong>g on the local<br />

context <strong>in</strong> terms of climate, soils <strong>and</strong> farm<strong>in</strong>g systems, as<br />

illustrated <strong>in</strong> Box 5.1.<br />

Selection of <strong>in</strong>dicators<br />

The follow<strong>in</strong>g <strong>in</strong>dicators were chosen to evaluate<br />

selected <strong>impacts</strong> of climate <strong>change</strong> on agriculture, with<br />

the follow<strong>in</strong>g sections deal<strong>in</strong>g with each of these <strong>in</strong> turn:<br />

• grow<strong>in</strong>g season for agricultural crops — this <strong>in</strong>dicator<br />

determ<strong>in</strong>es the suitability for grow<strong>in</strong>g agricultural<br />

crops, as determ<strong>in</strong>ed by temperature;<br />

• agrophenology — this <strong>in</strong>dicator traces <strong>change</strong>s <strong>in</strong> the<br />

tim<strong>in</strong>g of the annual cycle of agricultural crops;<br />

• water-limited crop yield — this <strong>in</strong>dicator considers<br />

potential <strong>change</strong>s <strong>in</strong> crop productivity caused by<br />

<strong>change</strong>s <strong>in</strong> temperature, ra<strong>in</strong>fall <strong>and</strong> atmospheric<br />

CO 2 concentration;<br />

• crop water dem<strong>and</strong> — this <strong>in</strong>dicator estimates<br />

the water needs for ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g maximum crop<br />

yields, thereby assess<strong>in</strong>g the adaptation needs of<br />

agricultural water supply.<br />

The conclud<strong>in</strong>g section describes <strong>impacts</strong> on livestock,<br />

but not as an <strong>in</strong>dicator, as the <strong>in</strong>direct effects on<br />

livestock through feed production are partly covered by<br />

the <strong>in</strong>dicators cover<strong>in</strong>g water-limited crop productivity<br />

<strong>and</strong> water requirements for irrigation. In addition, the<br />

<strong>impacts</strong> of climate <strong>change</strong> on livestock production are<br />

exemplified <strong>in</strong> three case study regions <strong>in</strong> <strong>Europe</strong> <strong>in</strong><br />

Box 5.1.<br />

The <strong>in</strong>dicators were chosen based on various criteria,<br />

<strong>in</strong>clud<strong>in</strong>g the availability of relevant data across <strong>Europe</strong><br />

<strong>and</strong> the ability to identify the ma<strong>in</strong> drivers of agricultural<br />

<strong>change</strong> to <strong>in</strong>form the design of adaptation policy. The<br />

<strong>in</strong>dicators presented here focus on the biophysical<br />

effects of <strong>change</strong>s <strong>in</strong> temperature <strong>and</strong> precipitation.<br />

Agricultural production <strong>and</strong> l<strong>and</strong> use are also, to a<br />

great extent, driven by <strong>change</strong>s <strong>in</strong> technology <strong>and</strong><br />

socio‐economic conditions, which are not considered<br />

here, although the biophysical effects will also be<br />

relevant to chang<strong>in</strong>g technology <strong>and</strong> socio‐economic<br />

conditions. As well as <strong>change</strong>s <strong>in</strong> climatic conditions,<br />

crop yield <strong>and</strong> quality are also affected directly by<br />

<strong>change</strong>s <strong>in</strong> atmospheric CO 2 concentration through<br />

<strong>impacts</strong> on photosynthesis <strong>and</strong> water use (Box 5.2).<br />

Essentially, effects on crop yield <strong>in</strong> the future will be<br />

shaped by the <strong>in</strong>teraction between <strong>change</strong>s <strong>in</strong> climate,<br />

atmospheric CO 2 <strong>and</strong> technology.<br />

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

The effects of climate <strong>change</strong> on the grow<strong>in</strong>g season<br />

<strong>and</strong> crop phenology can be monitored directly, partly<br />

through remote sens<strong>in</strong>g of the grow<strong>in</strong>g season <strong>and</strong><br />

partly through monitor<strong>in</strong>g of specific phenological events<br />

such as flower<strong>in</strong>g. There is no common monitor<strong>in</strong>g<br />

network for crop phenology <strong>in</strong> <strong>Europe</strong>, <strong>and</strong> therefore<br />

data on crop phenology have to be based on various<br />

national record<strong>in</strong>gs, often from agronomic experiments<br />

(Olesen et al., 2012). Crop yield <strong>and</strong> crop requirements<br />

for irrigation are affected not only by climate <strong>change</strong>,<br />

but also by management <strong>and</strong> a range of socio-economic<br />

factors (see Chapter 6). The effects of climate <strong>change</strong> on<br />

these factors therefore have to be estimated <strong>in</strong>directly<br />

us<strong>in</strong>g agrometeorological <strong>in</strong>dicators <strong>and</strong> through<br />

statistical analyses of the <strong>in</strong>teraction between climatic<br />

variables <strong>and</strong> factors such as crop yield (Caubel et al.,<br />

2015).<br />

The projections of climate <strong>change</strong> <strong>impacts</strong> <strong>and</strong><br />

adaptation <strong>in</strong> agriculture rely heavily on modell<strong>in</strong>g, <strong>and</strong><br />

it needs to be recognised that there is often a cha<strong>in</strong> of<br />

uncerta<strong>in</strong>ty <strong>in</strong>volved <strong>in</strong> the projections, which range<br />

from emissions scenarios, through climate modell<strong>in</strong>g<br />

<strong>and</strong> downscal<strong>in</strong>g, to assessments of <strong>impacts</strong> us<strong>in</strong>g<br />

an impact model (Ewert et al., 2015). The relevant<br />

modell<strong>in</strong>g approaches <strong>in</strong> <strong>Europe</strong> have been discussed <strong>in</strong><br />

a recent report of the Food <strong>and</strong> Agriculture Organization<br />

(FAO) (Rötter <strong>and</strong> Höhn, 2015). The extent of all these<br />

uncerta<strong>in</strong>ties is rarely quantified, even though some<br />

studies have assessed uncerta<strong>in</strong>ties related to <strong>in</strong>dividual<br />

components. The crop modell<strong>in</strong>g community has only<br />

recently started address<strong>in</strong>g uncerta<strong>in</strong>ties related to<br />

modell<strong>in</strong>g <strong>impacts</strong> of climate <strong>change</strong> on crop yield <strong>and</strong><br />

the effect of possible adaptation options (Rötter et al.,<br />

2011; Asseng et al., 2013), <strong>and</strong> so far only a few studies<br />

have <strong>in</strong>volved livestock systems. Recently, the effects<br />

of extreme climate events have also been <strong>in</strong>cluded <strong>in</strong><br />

impact assessments (Trnka et al., 2014; Lesk et al., <strong>2016</strong>),<br />

but other effects such as those related to biotic hazards<br />

(e.g. pests <strong>and</strong> diseases) still need to be explored<br />

(Garrett et al., 2013; Launay et al., 2014).<br />

224 <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

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