26.01.2017 Views

Climate change impacts and vulnerability in Europe 2016

document

document

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

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

Projections<br />

The impact of future <strong>change</strong>s <strong>in</strong> climate on crop<br />

yield depends on the characteristics of the climatic<br />

<strong>change</strong> with<strong>in</strong> a region, as well as on a comb<strong>in</strong>ation<br />

of other environmental, economic, technological <strong>and</strong><br />

management factors (Reidsma et al., 2010). A broad<br />

analysis of climate <strong>change</strong> scenarios for agricultural<br />

productivity <strong>in</strong> <strong>Europe</strong> has provided a clear picture<br />

of deterioration of agroclimatic conditions through<br />

<strong>in</strong>creased drought stress <strong>and</strong> a shorten<strong>in</strong>g of the<br />

active grow<strong>in</strong>g season across large parts of southern<br />

<strong>and</strong> central <strong>Europe</strong> (Trnka, Olesen, et al., 2011). Other<br />

studies suggest an <strong>in</strong>creas<strong>in</strong>g number of unfavourable<br />

years for agricultural production <strong>in</strong> many <strong>Europe</strong>an<br />

climatic zones, limit<strong>in</strong>g w<strong>in</strong>ter crop expansion <strong>and</strong><br />

<strong>in</strong>creas<strong>in</strong>g the risk of cereal yield loss (Peltonen-Sa<strong>in</strong>io<br />

et al., 2011; Rötter et al., 2011; Trnka et al., 2014).<br />

Dynamic crop models may be used to evaluate the<br />

effect of climate <strong>change</strong> on crop production, provided<br />

that the model is tested for the accuracy of its response<br />

to various climate <strong>change</strong> factors (Ewert et al., 2015).<br />

Map 5.12 shows projected <strong>change</strong>s <strong>in</strong> water‐limited<br />

w<strong>in</strong>ter wheat yields <strong>in</strong> <strong>Europe</strong> for the 2030s (compared<br />

with the 2000s) for climate projections from two<br />

different climate models (HadGEM2-ES ( 99 ) <strong>and</strong><br />

MIROC‐ESM-CHEM ( 100 )) us<strong>in</strong>g the WOFOST ( 101 ) crop<br />

model. The top row of the map shows the results<br />

when the CO 2 concentration is assumed to be that of<br />

the 2000s, whereas the bottom row shows the results<br />

when the effect of CO 2 fertilisation (see Box 5.2) on<br />

crop growth was simulated. When no CO 2 fertilisation<br />

effect is taken <strong>in</strong>to account, simulations us<strong>in</strong>g both<br />

climate models show a decrease <strong>in</strong> wheat yields over<br />

most of <strong>Europe</strong>, with the exception of some northern<br />

areas. When the CO 2 fertilisation effect is taken <strong>in</strong>to<br />

account, model simulations generally show a yield<br />

<strong>in</strong>crease <strong>in</strong> most areas, with the notable exception<br />

of central <strong>Europe</strong> for one climate model (HadGEM2).<br />

The simulated moderate yield reduction over central<br />

<strong>Europe</strong> for this model <strong>in</strong>dicates that <strong>in</strong>creased CO 2 does<br />

not compensate for unfavourable climatic conditions,<br />

such as prolonged <strong>and</strong> more <strong>in</strong>tense droughts. These<br />

simulations did not <strong>in</strong>clude adaptations to climate<br />

<strong>change</strong>, such as <strong>change</strong>s <strong>in</strong> crop species <strong>and</strong> crop<br />

management, ow<strong>in</strong>g to the <strong>in</strong>herent complexity of<br />

agricultural systems. Therefore, the projected yields<br />

<strong>in</strong> 2030 may be slightly underestimated. A study on<br />

the potential effectiveness by 2040 of adaptation by<br />

farmers <strong>in</strong> southern <strong>and</strong> central <strong>Europe</strong> suggests that<br />

the adaptation potential to future warm<strong>in</strong>g is large for<br />

maize but limited for wheat <strong>and</strong> barley (Moore <strong>and</strong><br />

Lobell, 2014).<br />

Future crop yield developments are subject to<br />

considerable uncerta<strong>in</strong>ty, <strong>in</strong> particular with regard<br />

to climate projections <strong>and</strong> the magnitude of CO 2<br />

fertilisation effects <strong>in</strong> practice. For example, Map 5.12<br />

does not consider all of the ma<strong>in</strong> sources of<br />

uncerta<strong>in</strong>ty, as only two climate models <strong>and</strong> one crop<br />

model have been used to produce the simulations.<br />

A wider variation would have been found if more<br />

climate model projections <strong>and</strong> more crop models had<br />

been used. A large proportion of the uncerta<strong>in</strong>ty <strong>in</strong><br />

climate <strong>change</strong> impact projections for crop yields are<br />

the result of variations among different crop models<br />

rather than the variations among the downscaled<br />

climate projections (Asseng et al., 2013). Uncerta<strong>in</strong>ties<br />

<strong>in</strong> simulated <strong>impacts</strong> <strong>in</strong>crease with higher CO 2<br />

concentrations <strong>and</strong> associated warm<strong>in</strong>g.<br />

Map 5.13 provides an aggregated picture of the<br />

expected <strong>change</strong>s <strong>in</strong> crop yields across <strong>Europe</strong> by<br />

consider<strong>in</strong>g three crops, an ensemble of 12 GCMs <strong>and</strong><br />

the current irrigated area. These estimates <strong>in</strong>clude the<br />

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

CO 2 concentration on crop yield. The regional pattern of<br />

projected <strong>impacts</strong> is clear, generally show<strong>in</strong>g improved<br />

conditions <strong>in</strong> northern <strong>Europe</strong> <strong>and</strong> worse conditions <strong>in</strong><br />

southern <strong>Europe</strong>.<br />

Despite the above-mentioned uncerta<strong>in</strong>ties, there is a<br />

clear <strong>in</strong>dication of deteriorat<strong>in</strong>g agroclimatic conditions<br />

<strong>in</strong> terms of <strong>in</strong>creased drought stress <strong>and</strong> a shorten<strong>in</strong>g<br />

of the active grow<strong>in</strong>g season <strong>in</strong> central <strong>and</strong> southern<br />

<strong>Europe</strong> (Trnka, Olesen, et al., 2011). There is a risk of an<br />

<strong>in</strong>creas<strong>in</strong>g number of extremely unfavourable years,<br />

which might lead to higher <strong>in</strong>terannual variability <strong>in</strong><br />

crop yield <strong>and</strong> constitute a challenge for proper crop<br />

management. Some of the climate-related risk factors,<br />

such as high temperature stress, flood<strong>in</strong>g <strong>and</strong> adverse<br />

sow<strong>in</strong>g <strong>and</strong> harvest<strong>in</strong>g conditions, are <strong>in</strong>cluded only to<br />

a limited extent <strong>in</strong> current crop models, such as those<br />

used for the projections <strong>in</strong> Map 5.12. Map 5.14 shows<br />

that the frequency of adverse agroclimatic conditions<br />

for wheat is projected to <strong>in</strong>crease substantially across<br />

<strong>Europe</strong> under climate <strong>change</strong>, with the largest risks<br />

generally experienced <strong>in</strong> southern parts of <strong>Europe</strong>.<br />

These <strong>in</strong>creases <strong>in</strong> extreme events may severely restrict<br />

the efficiency of adaptations to climate <strong>change</strong>, <strong>in</strong>clud<strong>in</strong>g<br />

the shift<strong>in</strong>g of wheat production to other regions as the<br />

risk of adverse events beyond the key wheat-grow<strong>in</strong>g<br />

areas <strong>in</strong>creases even more (Trnka et al., 2014, 2015).<br />

( 99 ) HadGEM-ES: Earth System version of HadGEM2.<br />

( 100 ) MIROC-ESM-CHEM: atmospheric chemistry coupled version of MIROC-ESM ('Model for Interdiscipl<strong>in</strong>ary Research on <strong>Climate</strong> — Earth System<br />

Model').<br />

( 101 ) WOFOST: 'WOrld FOod STudies'.<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 />

233

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!