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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">SE</journal-id>
<journal-title-group>
<journal-title>Solid Earth</journal-title>
<abbrev-journal-title abbrev-type="publisher">SE</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Solid Earth</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1869-9529</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/se-8-683-2017</article-id><title-group><article-title>Assessing and analysing the impact of land<?xmltex \hack{\break}?> take pressures on arable land</article-title>
      </title-group><?xmltex \runningtitle{Assessing and analysing the impact of land take pressures on arable land}?><?xmltex \runningauthor{E. Aksoy et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Aksoy</surname><given-names>Ece</given-names></name>
          <email>ece.aksoy@uma.es</email><email>eceaksoy@hotmail.com</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Gregor</surname><given-names>Mirko</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Schröder</surname><given-names>Christoph</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Löhnertz</surname><given-names>Manuel</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Louwagie</surname><given-names>Geertrui</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>European Topic Centre on Urban, Land and Soil systems (ETC/ULS), University of Malaga, Malaga, Spain</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>ETC/ULS, space4environment, Niederanven, Luxembourg</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>European Environment Agency (EEA), Copenhagen, Denmark</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Ece Aksoy (ece.aksoy@uma.es, eceaksoy@hotmail.com)</corresp></author-notes><pub-date><day>20</day><month>June</month><year>2017</year></pub-date>
      
      <volume>8</volume>
      <issue>3</issue>
      <fpage>683</fpage><lpage>695</lpage>
      <history>
        <date date-type="received"><day>8</day><month>November</month><year>2016</year></date>
           <date date-type="rev-request"><day>25</day><month>November</month><year>2016</year></date>
           <date date-type="rev-recd"><day>10</day><month>March</month><year>2017</year></date>
           <date date-type="accepted"><day>14</day><month>May</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://se.copernicus.org/articles/8/683/2017/se-8-683-2017.html">This article is available from https://se.copernicus.org/articles/8/683/2017/se-8-683-2017.html</self-uri>
<self-uri xlink:href="https://se.copernicus.org/articles/8/683/2017/se-8-683-2017.pdf">The full text article is available as a PDF file from https://se.copernicus.org/articles/8/683/2017/se-8-683-2017.pdf</self-uri>


      <abstract>
    <p>Land, and in particular soil, is a finite and essentially non-renewable
resource. Across the European Union, land take, i.e. the increase of
settlement area over time, annually consumes more than 1000 km<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> of
which half is actually sealed and hence lost under impermeable surfaces. Land
take, and in particular soil sealing, has already been identified as one of
the major soil threats in the 2006 European Commission Communication
“Towards a Thematic Strategy on Soil Protection” and the Soil Thematic
Strategy and has been confirmed as such in the report on the implementation
of this strategy. The aim of this study is to relate the potential of land
for a particular use in a given region with the actual land use. This allows
evaluating whether land (especially the soil dimension) is used according to
its (theoretical) potential. To this aim, the impact of several land cover
flows related to urban development on soils with good, average, and poor
production potentials were assessed and mapped. Thus, the amount and quality
(potential for agricultural production) of arable land lost between the years
2000 and 2006 was identified. In addition, areas with high productivity
potential around urban areas, indicating areas of potential future land use
conflicts for Europe, were identified.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Land use in Europe has changed drastically during the last 50 years,
primarily in relation to the betterment of human well-being and economic
development, while unfortunately causing serious environmental problems such
as urban sprawl, soil sealing, loss of biodiversity, soil erosion, soil
degradation, floods, or desertification.</p>
      <p>The changes in land use can also be interpreted as changes in the resources,
services, and goods that soils offer to us; moreover, the type of land use
change varies among different types of regions. Smith et al. (2015) describe
the effects of land use changes (increased change of arable to urban) on
different ecosystem services that are provided by soil decreased biomass and
decreased availability of water for agricultural use (provisioning
services); decreased infiltration, storage, and soil-mediated water
regulation (regulating services); decreased genetic diversity (supporting
service); and decreased natural environment (cultural service).</p>
      <p>Land use changes are a worldwide issue and the impacts of land use changes
are the subject of several studies. In recent years, several modelling and
foresight studies of land use change have emerged with European research
projects, such as VOLANTE – Visions of Land Use Transitions in Europe (EU
FP7 project), EU-LUPA – European Land Use Patterns (ESPON project), SENSOR
– Sustainable Impact Assessment Tools for Environmental, Social and Economic
Effects of Multifunctional Land Use in European Regions (EU FP6 integrated
project) (Helming et al., 2006), enviroGRIDS (EU FP7 project), the ATEAM EU
FP5 project (Advanced Terrestrial Ecosystem Analysis and Modelling to search
global climate and land use change impacts on ecosystem vulnerability in
Europe (Rounsevell et al., 2006), the EURURALIS project – addressing
socio-economic impacts associated with land use changes in the agricultural
sector (Klijn et al., 2005), the SEAMLESS project – approach for multi-scale
modelling to asses sustainability impacts of agricultural policies (van
Ittersum et al., 2008), and the PRELUDE project of the European Economic Area
(EEA) on scenarios for future land use changes in Europe (Hoogeven and
Ribeiro, 2007). In the following, we give some examples from the literature
on the impacts of land use change. Mancosu et al. (2015) develop different
land use change scenarios and discusses their impacts on the Black Sea
region. Parras-Alcántara et al. (2013) examine the impacts of land use
change on soil carbon and nitrogen in a Mediterranean agricultural area.
Adugna and Abegaz (2016) discuss the effects of land use changes on the soil
properties in Ethiopia. Mohawesh et al. (2015) reveal the effects of land use
changes on soil properties in Jordan and results help in understanding the
effects of land use changes on land degradation processes and carbon
sequestration potential and in formulating sound soil conservation plans.
Wasak and Drewnik (2015) studied the land use effects on soil organic carbon
sequestration in calcareous Leptosols in the Tatra Mountains, Poland.
Muñoz-Rojas et al. (2015) analysed the long time series (1956–2007)
impacts of land use and land cover changes on organic carbon stocks in
Mediterranean soils. Liu et al. (2014) studied land use and climate changes
and their impacts on runoff in the Yarlung Tsangbo River basin, China. Kalema
et al. (2015) showed the impacts of land use changes on woodlands in an
equatorial African savanna. Lastly, Trabaquini et al. (2015) examined the
effects of the land use changes of physical soil properties in the Brazilian
savanna environment.</p>
      <p>Land take represents an increase in artificial surfaces or settlement areas
(for residential, commercial, industrial, or infrastructural purposes, for
example) over time, usually at the expense of rural areas. This process can
result in an increase in scattered settlements in rural regions or in an
expansion of urban areas around an urban nucleus (urban sprawl, which is
defined as “the physical pattern of low-density expansion of large urban
areas, under market conditions, mainly into the surrounding agricultural
areas”; EEA, 2006a). A clear distinction is usually difficult to make
(Prokop et al., 2011).</p>
      <p>Land take is a widespread phenomenon in Europe. The assessment as part of the
EEA indicator land take (CSI 014/LSI 001) identifies extension of artificial
land cover as one of the two major flows that consume arable land; the other
one is withdrawal of farming, which is supported by European policies (EEA,
2006a). Tóth (2012) analysed the impact of land take on soil productivity
using the Joint Research Center (JRC) Cropland Productivity Index map and
combined it with Corine Land Cover (CLC) changes and socio-economic data. He
concluded that the European Union (EU) experiences a constant decrease in
production capacity (Tóth, 2012).</p>
      <p>Soils are used to produce a range of biomass products that serve as food,
feed, fibre, and fuel. Biomass production can be particularly relevant in
biodiversity conservation and climate change mitigation efforts, through
supporting elements of green infrastructure and flood regulation (EEA,
2015). Biomass production is one of the soil functions recognized in the
EU (CEC, 2006) and is severely affected by land take. Urbanized
land is not mainly used for agriculture, and furthermore, a large proportion
of the land taken for urbanization is actually sealed. Soil sealing can be
considered as an almost irreversible process, since “de-sealing” is very
costly and the formation of new soil takes decades, i.e. 1 cm in 100 years
(Scheffer and Schachtschabel, 2002). Accordingly, soil functions are
commonly considered as lost when soils are covered with impervious surfaces.</p>
      <p>From the agricultural point of view, land take is a soil–land loss for
non-agricultural purposes, so that in a way its effect is similar to soil
degradation (caused by severe erosion) and might be considered as
a complementary process. It is important to recognize why it is of interest
to compare different categories of soil biomass productivity affected by
land take and how these classes are connected to soil erosion and degradation.
Therefore, the aim of this study is to assess and analyse the impacts of
several land cover flows related to urban development (referred to as land
take) between the years 2000 and 2006 on soils with good, average, and poor
biomass production potentials and identify regions with major impact
(hotspots) in Europe.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Soil productivity data on arable
land (pan-European grid layer) (JRC). Legend shows high biomass productivity (green) to low biomass productivity (brown), no biomass productivity (dark grey), no data (white), and outside data coverage (light grey).</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://se.copernicus.org/articles/8/683/2017/se-8-683-2017-f01.jpg"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <title>Material and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Material</title>
      <p>The main input data for this study are
<list list-type="bullet"><list-item>
      <p>soil biomass productivity data on arable land (Tóth et al., 2013).</p></list-item><list-item>
      <p>land cover and use data (CORINE, 2017).</p></list-item><list-item>
      <p>land cover and  changes (CLC changes and derived land cover flows (LCFs)
between the years 2000 and 2006) (EEA, 2013c).</p></list-item></list>
The soil biomass productivity map on arable land was produced with the
spatially explicit Soil Productivity Model (SoilProd) for Europe by JRC
(Tóth et al., 2011) (Fig. 1). This map provides composite cropland
productivity index scores, which are expressed on a scale from 1 to 10.
Score 1 represents the lowest and 10 the highest biomass production
potential. The productivity index is the sum of the inherent soil
productivity index and the fertilizer response rate. The former results from
an evaluation matrix set up for eight climatic zones, five inherent
productivity classes (derived from second level taxonomic soil units), soil
attribute information from the soil database (corrected for topographic
conditions), and four available water capacity classes. The fertilizer
response rate takes account of the management practices applied. More details
about the model and the map production process can be found in
Tóth (2012) and Tóth et al. (2011).</p>
      <p>The soil biomass productivity data were provided by JRC, 1 km<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> raster
data sets have full coverage of Europe but they are only valid for the
corresponding land use types. Therefore, the appropriate CLC classes (based
on CLC-Corilis 2000) were identified to build the masks for the extraction of
the soil and/or land productivity layers. The CLC classes we used are 2.1 “Arable
land” (subclasses 211 “Non-irrigated arable land”, 212 “Permanently
irrigated land”, and 213 “Rice fields”) and 2.4 “Heterogeneous
agricultural areas” (subclasses 241 “Annual crops associated with permanent
crops” and 242 “Complex cultivation patterns”) (Tóth, 2012).</p>
      <p>There are nine major LCFs on Level 1 (Land and Ecosystem
Accounting, LEAC, 2000–2006) (EEA, 2013a) (Table 1). The combination of the
land take flows LCF2 and LCF3 (urban residential sprawl and extension of
economic sites and infrastructure) were used for this study. The impact
calculation for Greece could not be done because of not having CLC 2006 and
LCFs.</p>
      <p>The technical assessment of land take on arable land is based on the land
cover flows as described below:
<list list-type="bullet"><list-item>
      <p>The definition of LCF2 is as follows: urban residential sprawl consists of land uptake by residential
buildings altogether with associated services and urban infrastructure
(classified in CLC 111 and 112) from non-artificial land (extension over
sea may happen). Two subcategories are distinguished, namely urban dense
residential sprawl resulting in continuous urban fabric and urban diffuse
residential sprawl resulting in discontinuous urban fabric.</p></list-item><list-item>
      <p>The definition of LCF3 is as follows: sprawl of economic sites and infrastructures consists of land uptake
by new economic sites and infrastructures (including sport and leisure
facilities) from non-artificial land (extension over sea may happen). This
land cover flow includes eight subcategories, namely sprawl of the
following infrastructure on non-urban land, i.e. industrial and commercial
sites, transport networks, harbours, airports, mines and quarries, dump sites,
construction, and sport and leisure facilities (EEA, 2013a).</p></list-item></list></p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><caption><p>Major land cover flows (LCFs) on Level 1 (EEA, 2013a).</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.96}[.96]?><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Code</oasis:entry>  
         <oasis:entry colname="col2">Major type of cover change</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">LCF1</oasis:entry>  
         <oasis:entry colname="col2">Urban land management</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LCF2</oasis:entry>  
         <oasis:entry colname="col2">Urban residential sprawl</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LCF3</oasis:entry>  
         <oasis:entry colname="col2">Extension of economic sites and infrastructure</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LCF4</oasis:entry>  
         <oasis:entry colname="col2">Agriculture internal conversions</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LCF5</oasis:entry>  
         <oasis:entry colname="col2">Conversion from forested and natural land to agriculture</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LCF6</oasis:entry>  
         <oasis:entry colname="col2">Withdrawal of farming</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LCF7</oasis:entry>  
         <oasis:entry colname="col2">Forest creation and management</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LCF8</oasis:entry>  
         <oasis:entry colname="col2">Water body creation and management</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LCF9</oasis:entry>  
         <oasis:entry colname="col2">Changes of land cover due to natural and multiple causes</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2.SS2">
  <title>Method</title>
      <p>The schematic workflow of the study can be seen in Fig. 2. Four main steps
were followed to assess the impacts of land take pressures on arable land
analysis.</p>
      <p>First of all, the soil biomass productivity data were classified into soils
with good, average, and poor capacities to provide biomass on
arable land (step 1, Fig. 2) with the aim of easier analysis,
interpretation, and calculation. This classification is performed based on
the value distribution and their statistical parameters. This means that the
lower third of all values are classified as poor (class 1), the upper
third as good (class 3), and the values in between as average (class 2).</p>
      <p>Secondly, a mask was applied to the soil biomass productivity map (step 2,
Fig. 2) by using defined CLC classes according to the provisions of
Tóth (2012). Then, after the classification and masking processes, the
selected LCFs were overlaid onto the masked and classified data to extract
the raster cells that contain a land cover change that is relevant for the
analysis. This process in fact represents another masking process, as
described in Fig. 2 (step 3). Lastly, the raster data were combined
with the NUTS-3 reference units to compute the zonal statistics for each of
the parameter combinations (impact of a particular LCF or combination of
LCFs on a particular soil function potential (Fig. 2, step 4).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Schematic workflow of the study.</p></caption>
          <?xmltex \igopts{width=142.26378pt}?><graphic xlink:href="https://se.copernicus.org/articles/8/683/2017/se-8-683-2017-f02.png"/>

        </fig>

      <p>The final value of the impact of a particular LCF or combination of LCFs on
the capacity of soils to supply a particular soil function is expressed in
relation to the share of that specific soil function potential in the NUTS-3
region. This means that the share of, for example, good soils within a NUTS-3
region, is the reference for the calculation, not the entire area of the
NUTS-3 region.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Graphic presentation of soil biomass productivity potentials on
arable land for each country.</p></caption>
          <?xmltex \igopts{width=469.470472pt}?><graphic xlink:href="https://se.copernicus.org/articles/8/683/2017/se-8-683-2017-f03.png"/>

        </fig>

      <p>Moreover, for interpretation purposes the value ranges can be understood and
verbally described regarding their impact (expressed as percentages) as
follows (ranked from very low to very high impact; green to red colours in
Fig. 5):
<list list-type="bullet"><list-item>
      <p>very low impact</p></list-item><list-item>
      <p>low impact</p></list-item><list-item>
      <p>intermediate impact</p></list-item><list-item>
      <p>high impact and</p></list-item><list-item>
      <p>very high impact.</p></list-item></list>
In addition, the descriptions of the outcomes make reference to relative and
absolute impacts. Whereas relative impacts correspond to the percentage
values of the impact of a certain LCF on soils of a specific capacity in a
NUTS-3 region, the absolute impacts refer to the area (in hectares) that is
affected by a particular LCF. Depending on the size of the reference unit
(that is, the area of soils of a specific capacity in a NUTS-3 region) high
absolute values do not necessarily correspond to high relative values, while
low absolute values could well mean high relative values (when the total
size of the reference area is very small).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Statistical distribution of arable lands according to their biomass
production potential for each country (bold font shows the major share).
Abbreviations of the countries are as follows: AL – Albania, AT – Austria,
BA – Bosnia and Herzegovina, BE – Belgium, BG – Bulgaria, CH –
Switzerland, CY – Cyprus, CZ – Czech Republic, DE – Germany, DK –
Denmark, EE – Estonia, EL – Greece, ES – Spain, FI – Finland, FR –
France, HR – Croatia, HU – Hungary, IE – Ireland, IT – Italy, LT –
Lithuania, LU – Luxembourg, LV – Latvia, ME – Montenegro, MK – Macedonia,
NL – the Netherlands, NO – Norway, PL – Poland, PT – Portugal, RO –
Romania, RS – Serbia, SE – Sweden, SI – Slovenia, SK – Slovakia, TR –
Turkey, UK – the United Kingdom, and XK – Kosovo.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Country</oasis:entry>  
         <oasis:entry colname="col2">Country</oasis:entry>  
         <oasis:entry colname="col3">Total arable</oasis:entry>  
         <oasis:entry colname="col4">Arable land</oasis:entry>  
         <oasis:entry namest="col5" nameend="col7" align="center">Soil biomass productivity </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">land</oasis:entry>  
         <oasis:entry colname="col4">proportion</oasis:entry>  
         <oasis:entry rowsep="1" namest="col5" nameend="col7" align="center">potential per total arable land </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">Poor</oasis:entry>  
         <oasis:entry colname="col6">Average</oasis:entry>  
         <oasis:entry colname="col7">Good</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">[km<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>]</oasis:entry>  
         <oasis:entry colname="col3">[km<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>]</oasis:entry>  
         <oasis:entry colname="col4">[%]</oasis:entry>  
         <oasis:entry colname="col5">[%]</oasis:entry>  
         <oasis:entry colname="col6">[%]</oasis:entry>  
         <oasis:entry colname="col7">[%]</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">AL</oasis:entry>  
         <oasis:entry colname="col2">28 755.06</oasis:entry>  
         <oasis:entry colname="col3">3729.06</oasis:entry>  
         <oasis:entry colname="col4">12.97</oasis:entry>  
         <oasis:entry colname="col5">6.99</oasis:entry>  
         <oasis:entry colname="col6"><bold>65.48</bold></oasis:entry>  
         <oasis:entry colname="col7">27.53</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">AT</oasis:entry>  
         <oasis:entry colname="col2">83 947.82</oasis:entry>  
         <oasis:entry colname="col3">17 291.73</oasis:entry>  
         <oasis:entry colname="col4">20.6</oasis:entry>  
         <oasis:entry colname="col5">0.93</oasis:entry>  
         <oasis:entry colname="col6">43.96</oasis:entry>  
         <oasis:entry colname="col7"><bold>55.11</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BA</oasis:entry>  
         <oasis:entry colname="col2">51 399.37</oasis:entry>  
         <oasis:entry colname="col3">9032.91</oasis:entry>  
         <oasis:entry colname="col4">17.57</oasis:entry>  
         <oasis:entry colname="col5">3.2</oasis:entry>  
         <oasis:entry colname="col6"><bold>84.69</bold></oasis:entry>  
         <oasis:entry colname="col7">12.11</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BE</oasis:entry>  
         <oasis:entry colname="col2">30 664.19</oasis:entry>  
         <oasis:entry colname="col3">12 123.74</oasis:entry>  
         <oasis:entry colname="col4">39.54</oasis:entry>  
         <oasis:entry colname="col5">0.25</oasis:entry>  
         <oasis:entry colname="col6">7.32</oasis:entry>  
         <oasis:entry colname="col7"><bold>92.43</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BG</oasis:entry>  
         <oasis:entry colname="col2">110 988.76</oasis:entry>  
         <oasis:entry colname="col3">41 120.23</oasis:entry>  
         <oasis:entry colname="col4">37.05</oasis:entry>  
         <oasis:entry colname="col5">2.81</oasis:entry>  
         <oasis:entry colname="col6">44.65</oasis:entry>  
         <oasis:entry colname="col7"><bold>52.54</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CH</oasis:entry>  
         <oasis:entry colname="col2">41 287.33</oasis:entry>  
         <oasis:entry colname="col3">7605.61</oasis:entry>  
         <oasis:entry colname="col4">18.42</oasis:entry>  
         <oasis:entry colname="col5">1.31</oasis:entry>  
         <oasis:entry colname="col6">31.71</oasis:entry>  
         <oasis:entry colname="col7"><bold>66.98</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CY</oasis:entry>  
         <oasis:entry colname="col2">9249.11</oasis:entry>  
         <oasis:entry colname="col3">3468.26</oasis:entry>  
         <oasis:entry colname="col4">37.5</oasis:entry>  
         <oasis:entry colname="col5"><bold>62</bold></oasis:entry>  
         <oasis:entry colname="col6">38</oasis:entry>  
         <oasis:entry colname="col7">0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CZ</oasis:entry>  
         <oasis:entry colname="col2">78 869.52</oasis:entry>  
         <oasis:entry colname="col3">33 054.4</oasis:entry>  
         <oasis:entry colname="col4">41.91</oasis:entry>  
         <oasis:entry colname="col5">0.19</oasis:entry>  
         <oasis:entry colname="col6">13.15</oasis:entry>  
         <oasis:entry colname="col7"><bold>86.66</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">DE</oasis:entry>  
         <oasis:entry colname="col2">357 737.29</oasis:entry>  
         <oasis:entry colname="col3">157 211.86</oasis:entry>  
         <oasis:entry colname="col4">43.95</oasis:entry>  
         <oasis:entry colname="col5">1.58</oasis:entry>  
         <oasis:entry colname="col6">34.41</oasis:entry>  
         <oasis:entry colname="col7"><bold>64.01</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">DK</oasis:entry>  
         <oasis:entry colname="col2">43 174.76</oasis:entry>  
         <oasis:entry colname="col3">28 487.19</oasis:entry>  
         <oasis:entry colname="col4">65.98</oasis:entry>  
         <oasis:entry colname="col5">0.09</oasis:entry>  
         <oasis:entry colname="col6">11.33</oasis:entry>  
         <oasis:entry colname="col7"><bold>88.58</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">EE</oasis:entry>  
         <oasis:entry colname="col2">45 335.44</oasis:entry>  
         <oasis:entry colname="col3">8338.46</oasis:entry>  
         <oasis:entry colname="col4">18.39</oasis:entry>  
         <oasis:entry colname="col5">1.39</oasis:entry>  
         <oasis:entry colname="col6"><bold>65.76</bold></oasis:entry>  
         <oasis:entry colname="col7">32.84</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">EL</oasis:entry>  
         <oasis:entry colname="col2">131 735.85</oasis:entry>  
         <oasis:entry colname="col3">28 320.05</oasis:entry>  
         <oasis:entry colname="col4">21.5</oasis:entry>  
         <oasis:entry colname="col5">12.47</oasis:entry>  
         <oasis:entry colname="col6"><bold>74.54</bold></oasis:entry>  
         <oasis:entry colname="col7">12.99</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ES</oasis:entry>  
         <oasis:entry colname="col2">505 980.28</oasis:entry>  
         <oasis:entry colname="col3">161 978.31</oasis:entry>  
         <oasis:entry colname="col4">32.01</oasis:entry>  
         <oasis:entry colname="col5">11.51</oasis:entry>  
         <oasis:entry colname="col6"><bold>83.08</bold></oasis:entry>  
         <oasis:entry colname="col7">5.41</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FI</oasis:entry>  
         <oasis:entry colname="col2">337 616.92</oasis:entry>  
         <oasis:entry colname="col3">15 956.63</oasis:entry>  
         <oasis:entry colname="col4">4.73</oasis:entry>  
         <oasis:entry colname="col5">0.7</oasis:entry>  
         <oasis:entry colname="col6">32.69</oasis:entry>  
         <oasis:entry colname="col7"><bold>66.61</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FR</oasis:entry>  
         <oasis:entry colname="col2">638 480.71</oasis:entry>  
         <oasis:entry colname="col3">212 195.3</oasis:entry>  
         <oasis:entry colname="col4">33.23</oasis:entry>  
         <oasis:entry colname="col5">3.58</oasis:entry>  
         <oasis:entry colname="col6">28.45</oasis:entry>  
         <oasis:entry colname="col7"><bold>67.97</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HR</oasis:entry>  
         <oasis:entry colname="col2">56 599.65</oasis:entry>  
         <oasis:entry colname="col3">13 861.69</oasis:entry>  
         <oasis:entry colname="col4">24.49</oasis:entry>  
         <oasis:entry colname="col5">4.85</oasis:entry>  
         <oasis:entry colname="col6"><bold>91.22</bold></oasis:entry>  
         <oasis:entry colname="col7">3.93</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HU</oasis:entry>  
         <oasis:entry colname="col2">93 012.99</oasis:entry>  
         <oasis:entry colname="col3">52 795.47</oasis:entry>  
         <oasis:entry colname="col4">56.76</oasis:entry>  
         <oasis:entry colname="col5">4.9</oasis:entry>  
         <oasis:entry colname="col6"><bold>62.96</bold></oasis:entry>  
         <oasis:entry colname="col7">32.13</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">IE</oasis:entry>  
         <oasis:entry colname="col2">69 956.69</oasis:entry>  
         <oasis:entry colname="col3">6336.24</oasis:entry>  
         <oasis:entry colname="col4">9.06</oasis:entry>  
         <oasis:entry colname="col5">7.42</oasis:entry>  
         <oasis:entry colname="col6">9.04</oasis:entry>  
         <oasis:entry colname="col7"><bold>83.54</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">IT</oasis:entry>  
         <oasis:entry colname="col2">300 620.28</oasis:entry>  
         <oasis:entry colname="col3">107 714.14</oasis:entry>  
         <oasis:entry colname="col4">35.83</oasis:entry>  
         <oasis:entry colname="col5">1.78</oasis:entry>  
         <oasis:entry colname="col6"><bold>74.5</bold></oasis:entry>  
         <oasis:entry colname="col7">23.72</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LT</oasis:entry>  
         <oasis:entry colname="col2">64 901.2</oasis:entry>  
         <oasis:entry colname="col3">30 396.19</oasis:entry>  
         <oasis:entry colname="col4">46.83</oasis:entry>  
         <oasis:entry colname="col5">0.09</oasis:entry>  
         <oasis:entry colname="col6"><bold>98.45</bold></oasis:entry>  
         <oasis:entry colname="col7">1.46</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LU</oasis:entry>  
         <oasis:entry colname="col2">2595.06</oasis:entry>  
         <oasis:entry colname="col3">847.7</oasis:entry>  
         <oasis:entry colname="col4">32.67</oasis:entry>  
         <oasis:entry colname="col5">13.37</oasis:entry>  
         <oasis:entry colname="col6">38.21</oasis:entry>  
         <oasis:entry colname="col7"><bold>48.41</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LV</oasis:entry>  
         <oasis:entry colname="col2">64 596.24</oasis:entry>  
         <oasis:entry colname="col3">14 582.72</oasis:entry>  
         <oasis:entry colname="col4">22.58</oasis:entry>  
         <oasis:entry colname="col5">1.26</oasis:entry>  
         <oasis:entry colname="col6"><bold>91.14</bold></oasis:entry>  
         <oasis:entry colname="col7">7.6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ME</oasis:entry>  
         <oasis:entry colname="col2">13 878.81</oasis:entry>  
         <oasis:entry colname="col3">166.5</oasis:entry>  
         <oasis:entry colname="col4">1.2</oasis:entry>  
         <oasis:entry colname="col5">20.16</oasis:entry>  
         <oasis:entry colname="col6">32.64</oasis:entry>  
         <oasis:entry colname="col7"><bold>47.2</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">MK</oasis:entry>  
         <oasis:entry colname="col2">25 436.12</oasis:entry>  
         <oasis:entry colname="col3">5191.04</oasis:entry>  
         <oasis:entry colname="col4">20.41</oasis:entry>  
         <oasis:entry colname="col5">3.9</oasis:entry>  
         <oasis:entry colname="col6"><bold>64.16</bold></oasis:entry>  
         <oasis:entry colname="col7">31.95</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">NL</oasis:entry>  
         <oasis:entry colname="col2">37 373.99</oasis:entry>  
         <oasis:entry colname="col3">13 059.17</oasis:entry>  
         <oasis:entry colname="col4">34.94</oasis:entry>  
         <oasis:entry colname="col5">1.25</oasis:entry>  
         <oasis:entry colname="col6">36.62</oasis:entry>  
         <oasis:entry colname="col7"><bold>62.13</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">NO</oasis:entry>  
         <oasis:entry colname="col2">323 024.51</oasis:entry>  
         <oasis:entry colname="col3">7033.67</oasis:entry>  
         <oasis:entry colname="col4">2.18</oasis:entry>  
         <oasis:entry colname="col5">3.97</oasis:entry>  
         <oasis:entry colname="col6">46.07</oasis:entry>  
         <oasis:entry colname="col7"><bold>49.97</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PL</oasis:entry>  
         <oasis:entry colname="col2">311 942.39</oasis:entry>  
         <oasis:entry colname="col3">157 056.55</oasis:entry>  
         <oasis:entry colname="col4">50.35</oasis:entry>  
         <oasis:entry colname="col5">0.47</oasis:entry>  
         <oasis:entry colname="col6"><bold>50.49</bold></oasis:entry>  
         <oasis:entry colname="col7">49.04</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PT</oasis:entry>  
         <oasis:entry colname="col2">91 969.54</oasis:entry>  
         <oasis:entry colname="col3">23 630.11</oasis:entry>  
         <oasis:entry colname="col4">25.69</oasis:entry>  
         <oasis:entry colname="col5">2.33</oasis:entry>  
         <oasis:entry colname="col6"><bold>94.53</bold></oasis:entry>  
         <oasis:entry colname="col7">3.14</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">RO</oasis:entry>  
         <oasis:entry colname="col2">238 364.06</oasis:entry>  
         <oasis:entry colname="col3">90 033.96</oasis:entry>  
         <oasis:entry colname="col4">37.77</oasis:entry>  
         <oasis:entry colname="col5">1.12</oasis:entry>  
         <oasis:entry colname="col6">39.45</oasis:entry>  
         <oasis:entry colname="col7"><bold>59.43</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">RS</oasis:entry>  
         <oasis:entry colname="col2">77 313.57</oasis:entry>  
         <oasis:entry colname="col3">32 165.26</oasis:entry>  
         <oasis:entry colname="col4">41.6</oasis:entry>  
         <oasis:entry colname="col5">3.06</oasis:entry>  
         <oasis:entry colname="col6"><bold>53.01</bold></oasis:entry>  
         <oasis:entry colname="col7">43.93</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SE</oasis:entry>  
         <oasis:entry colname="col2">449 563.7</oasis:entry>  
         <oasis:entry colname="col3">30 977.11</oasis:entry>  
         <oasis:entry colname="col4">6.89</oasis:entry>  
         <oasis:entry colname="col5">0.83</oasis:entry>  
         <oasis:entry colname="col6">17.69</oasis:entry>  
         <oasis:entry colname="col7"><bold>81.48</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SI</oasis:entry>  
         <oasis:entry colname="col2">20 273.58</oasis:entry>  
         <oasis:entry colname="col3">3900.67</oasis:entry>  
         <oasis:entry colname="col4">19.24</oasis:entry>  
         <oasis:entry colname="col5">2.41</oasis:entry>  
         <oasis:entry colname="col6"><bold>79.7</bold></oasis:entry>  
         <oasis:entry colname="col7">17.9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SK</oasis:entry>  
         <oasis:entry colname="col2">49 027.63</oasis:entry>  
         <oasis:entry colname="col3">17 085.84</oasis:entry>  
         <oasis:entry colname="col4">34.85</oasis:entry>  
         <oasis:entry colname="col5">0.38</oasis:entry>  
         <oasis:entry colname="col6"><bold>64.04</bold></oasis:entry>  
         <oasis:entry colname="col7">35.58</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TR</oasis:entry>  
         <oasis:entry colname="col2">780 290.77</oasis:entry>  
         <oasis:entry colname="col3">226 986.37</oasis:entry>  
         <oasis:entry colname="col4">29.09</oasis:entry>  
         <oasis:entry colname="col5">37.49</oasis:entry>  
         <oasis:entry colname="col6">23.93</oasis:entry>  
         <oasis:entry colname="col7"><bold>38.58</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">UK</oasis:entry>  
         <oasis:entry colname="col2">244 619.49</oasis:entry>  
         <oasis:entry colname="col3">68 939.64</oasis:entry>  
         <oasis:entry colname="col4">28.18</oasis:entry>  
         <oasis:entry colname="col5">4.68</oasis:entry>  
         <oasis:entry colname="col6">9.15</oasis:entry>  
         <oasis:entry colname="col7"><bold>86.17</bold></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">XK</oasis:entry>  
         <oasis:entry colname="col2">11 004.64</oasis:entry>  
         <oasis:entry colname="col3">2877.41</oasis:entry>  
         <oasis:entry colname="col4">26.15</oasis:entry>  
         <oasis:entry colname="col5">0.99</oasis:entry>  
         <oasis:entry colname="col6"><bold>94.53</bold></oasis:entry>  
         <oasis:entry colname="col7">4.48</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Grand total</oasis:entry>  
         <oasis:entry colname="col2">5 821 587.32</oasis:entry>  
         <oasis:entry colname="col3">1 645 551.2</oasis:entry>  
         <oasis:entry colname="col4">28.27</oasis:entry>  
         <oasis:entry colname="col5">8.23</oasis:entry>  
         <oasis:entry colname="col6">45.45</oasis:entry>  
         <oasis:entry colname="col7">46.32</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>Distribution of soils according to their potential for biomass
production on arable land: proportions of poor <bold>(a)</bold>,
average <bold>(b)</bold>, and good <bold>(c)</bold> soils (in % of the total
NUTS-3 region area). Legend shows the shares (%) from low (light green) to
high (dark green), “0” (light yellow), no data (white), less than 5 %
(dark grey), and outside data coverage (light grey). “Less than 5 %”
means that the total area of arable land is smaller than 5 %. Note that
the same colours might represent different percentages as quantiles were used
during the map production. Ranges are given between 0 and
50.88 % <bold>(a)</bold>, between 0 and 75.02 % <bold>(b)</bold>, and between
0 and 86.12 % <bold>(c)</bold>.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://se.copernicus.org/articles/8/683/2017/se-8-683-2017-f04.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>Percentage decline (per NUTS-3 area) of arable land area with
poor <bold>(a)</bold>, average <bold>(b)</bold>, and good <bold>(c)</bold> production
potentials due to urban residential, commercial, industrial, and
infrastructure-related extension (LCF2 and LCF3) between 2000 and 2006.
Legend shows the shares (%) from low (dark green) to high (red), “0”
(light yellow), no data (white), less than 5 % (dark grey), and outside
data coverage (light grey). “Less than 5 %” means that the total area
of arable land is smaller than 5 %. Note that the same colours might
represent different percentages as quantiles were used during the map
production. Ranges are given between 0.001 and 100 % <bold>(a)</bold>,
between 0.017 and 14.84 % <bold>(b)</bold>, and between 0.001 and
38.86 % <bold>(c)</bold>.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://se.copernicus.org/articles/8/683/2017/se-8-683-2017-f05.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
      <p>According to the results given in Table 2 and Fig. 3, even though the
highest share of the total arable land coverage of the whole country is higher
than 40 % in the Czech Republic, Germany, Denmark, Hungary, Lithuania,
Poland,
and Serbia, Turkey, France, Spain, Germany, and Poland each have over 15 000 000 ha of arable land. Moreover, close to half
(46.32 %) of the arable lands in the whole study area and half of the
countries (18 out of 36 countries) have good productivity potentials. Over
80 % of the arable land in Belgium (BE), the Czech Republic (CZ), Denmark
(DK), Ireland (IE), Sweden (SE), and the United Kingdom (UK) have good
productivity potential. Over 80 % of the arable land in Bosnia and
Herzegovina (BA), Spain (ES), Croatia (HR), Lithuania (LT), Latvia (LV),
Portugal (PT), and Kosovo (XK) have average productivity potential. Only one
country, Cyprus, has mostly poor biomass productivity potential on its
arable land.</p>
      <p>The distribution of the soils according to their potential for biomass
production on arable land per NUTS-3 area can be seen in Fig. 4; the
proportions are given in relation to the total area of each individual
NUTS-3 region. By consequence, the maps nicely illustrate where poor,
average, or good soils dominate in Europe and where they are only of minor
importance.</p>
      <p>Soils that are considered poor for biomass production on arable land mainly
dominate in three European regions, (i) Spain, (ii) central and
north-eastern France, and (iii) south-eastern Europe (almost all of Turkey
and large parts of Greece). Almost all other regions have an intermediate to
low share of poor soils for the provision of biomass on arable land. Of the
first 20 NUTS-3 regions across Europe, 14 are located in Turkey (Fig. 4). The others are located in the UK, France, and Cyprus (NUTS-3 region
boundary corresponds to the entire country). However, most of the mentioned
regions show very low to intermediate impact of urban expansion; Cyprus
shows a high impact though.</p>
      <p>Average soils for arable biomass provision are widespread across Europe and
can be found in large parts of Spain and Italy, Hungary, Poland, and the
southern Baltic countries (Lithuania and Latvia). Regions of Germany, France,
Bulgaria, and Greece also possess average soils. Low shares of average soils
can be found in Turkey, parts of Greece, Bulgaria and Romania, the Czech
Republic, parts of Germany and France, the UK, and Scandinavia. The number of
NUTS-3 regions with a high to very high share of average soils for biomass
provision on arable land (Fig. 3) is substantially higher compared to those
with a high share of poor soils. There are 32 regions that have a majority
share, that is, more than 50 %, in the respective NUTS-3 region (only one
NUTS-3 region for poor soils), with the highest values of over 70 % in
one Spanish (ES418, Valladolid) and two Italian regions (ITH36 and ITH57,
Padua and Ravenna, respectively). In
general, there is a high share of Italian regions (12 NUTS-3 regions), which
are often located in or close to the Po Valley, which used to be one of the
most fertile areas in Europe; another remarkable hotspot is Lithuania with
5 regions.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><caption><p>Statistical distribution of the land take impact on arable land for
each
country between 2000 and 2006. Abbreviations of the countries are as follows: AL –
Albania, AT – Austria, BA – Bosnia and Herzegovina, BE – Belgium, BG –
Bulgaria, CH – Switzerland, CY – Cyprus, CZ – the Czech Republic, DE –
Germany, DK – Denmark, EE – Estonia, ES – Spain, FI – Finland, FR –
France, HR – Croatia, HU – Hungary, IE – Ireland, IT – Italy, LT –
Lithuania, LU – Luxembourg, LV – Latvia, ME – Montenegro, MK – Macedonia,
NL – the Netherlands, NO – Norway, PL – Poland, PT – Portugal, RO –
Romania, RS – Serbia, SE – Sweden, SI – Slovenia, SK – Slovakia, TR –
Turkey, UK – the United Kingdom, and XK – Kosovo).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="10">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Country</oasis:entry>  
         <oasis:entry colname="col2">Total arable</oasis:entry>  
         <oasis:entry colname="col3">Total impact on</oasis:entry>  
         <oasis:entry namest="col4" nameend="col6" align="center">Impact on arable </oasis:entry>  
         <oasis:entry colname="col7">Total impacted</oasis:entry>  
         <oasis:entry namest="col8" nameend="col10" align="center">Arable land  (%) </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">land (ha)</oasis:entry>  
         <oasis:entry colname="col3">arable land (ha)</oasis:entry>  
         <oasis:entry rowsep="1" namest="col4" nameend="col6" align="center">land (ha) </oasis:entry>  
         <oasis:entry colname="col7">arable land (%)</oasis:entry>  
         <oasis:entry rowsep="1" namest="col8" nameend="col10" align="center">impact on total </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">Poor</oasis:entry>  
         <oasis:entry colname="col5">Avg</oasis:entry>  
         <oasis:entry colname="col6">Good</oasis:entry>  
         <oasis:entry colname="col7"/>  
         <oasis:entry colname="col8">Poor</oasis:entry>  
         <oasis:entry colname="col9">Avg</oasis:entry>  
         <oasis:entry colname="col10">Good</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">AL</oasis:entry>  
         <oasis:entry colname="col2">372 906</oasis:entry>  
         <oasis:entry colname="col3">14 795</oasis:entry>  
         <oasis:entry colname="col4">539</oasis:entry>  
         <oasis:entry colname="col5">8672</oasis:entry>  
         <oasis:entry colname="col6">5584</oasis:entry>  
         <oasis:entry colname="col7">3.97</oasis:entry>  
         <oasis:entry colname="col8">2.07</oasis:entry>  
         <oasis:entry colname="col9">3.55</oasis:entry>  
         <oasis:entry colname="col10">5.44</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">AT</oasis:entry>  
         <oasis:entry colname="col2">1 729 173</oasis:entry>  
         <oasis:entry colname="col3">4137</oasis:entry>  
         <oasis:entry colname="col4">20</oasis:entry>  
         <oasis:entry colname="col5">1478</oasis:entry>  
         <oasis:entry colname="col6">2639</oasis:entry>  
         <oasis:entry colname="col7">0.24</oasis:entry>  
         <oasis:entry colname="col8">0.12</oasis:entry>  
         <oasis:entry colname="col9">0.19</oasis:entry>  
         <oasis:entry colname="col10">0.28</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BA</oasis:entry>  
         <oasis:entry colname="col2">90 3291</oasis:entry>  
         <oasis:entry colname="col3">5329</oasis:entry>  
         <oasis:entry colname="col4">61</oasis:entry>  
         <oasis:entry colname="col5">4100</oasis:entry>  
         <oasis:entry colname="col6">1168</oasis:entry>  
         <oasis:entry colname="col7">0.59</oasis:entry>  
         <oasis:entry colname="col8">0.21</oasis:entry>  
         <oasis:entry colname="col9">0.54</oasis:entry>  
         <oasis:entry colname="col10">1.07</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BE</oasis:entry>  
         <oasis:entry colname="col2">1 212 374</oasis:entry>  
         <oasis:entry colname="col3">2027</oasis:entry>  
         <oasis:entry colname="col4">7</oasis:entry>  
         <oasis:entry colname="col5">111</oasis:entry>  
         <oasis:entry colname="col6">1909</oasis:entry>  
         <oasis:entry colname="col7">0.17</oasis:entry>  
         <oasis:entry colname="col8">0.23</oasis:entry>  
         <oasis:entry colname="col9">0.13</oasis:entry>  
         <oasis:entry colname="col10">0.17</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BG</oasis:entry>  
         <oasis:entry colname="col2">4 112 023</oasis:entry>  
         <oasis:entry colname="col3">1920</oasis:entry>  
         <oasis:entry colname="col4">145</oasis:entry>  
         <oasis:entry colname="col5">1289</oasis:entry>  
         <oasis:entry colname="col6">486</oasis:entry>  
         <oasis:entry colname="col7">0.05</oasis:entry>  
         <oasis:entry colname="col8">0.13</oasis:entry>  
         <oasis:entry colname="col9">0.07</oasis:entry>  
         <oasis:entry colname="col10">0.02</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CH</oasis:entry>  
         <oasis:entry colname="col2">760 561</oasis:entry>  
         <oasis:entry colname="col3">784</oasis:entry>  
         <oasis:entry colname="col4">12</oasis:entry>  
         <oasis:entry colname="col5">157</oasis:entry>  
         <oasis:entry colname="col6">615</oasis:entry>  
         <oasis:entry colname="col7">0.10</oasis:entry>  
         <oasis:entry colname="col8">0.12</oasis:entry>  
         <oasis:entry colname="col9">0.07</oasis:entry>  
         <oasis:entry colname="col10">0.12</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CY</oasis:entry>  
         <oasis:entry colname="col2">346 826</oasis:entry>  
         <oasis:entry colname="col3">4816</oasis:entry>  
         <oasis:entry colname="col4">4087</oasis:entry>  
         <oasis:entry colname="col5">729</oasis:entry>  
         <oasis:entry colname="col6">0</oasis:entry>  
         <oasis:entry colname="col7">1.39</oasis:entry>  
         <oasis:entry colname="col8">1.90</oasis:entry>  
         <oasis:entry colname="col9">0.55</oasis:entry>  
         <oasis:entry colname="col10">0.00</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CZ</oasis:entry>  
         <oasis:entry colname="col2">3 305 440</oasis:entry>  
         <oasis:entry colname="col3">8390</oasis:entry>  
         <oasis:entry colname="col4">103</oasis:entry>  
         <oasis:entry colname="col5">900</oasis:entry>  
         <oasis:entry colname="col6">7387</oasis:entry>  
         <oasis:entry colname="col7">0.25</oasis:entry>  
         <oasis:entry colname="col8">1.64</oasis:entry>  
         <oasis:entry colname="col9">0.21</oasis:entry>  
         <oasis:entry colname="col10">0.26</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">DE</oasis:entry>  
         <oasis:entry colname="col2">15 721 186</oasis:entry>  
         <oasis:entry colname="col3">47 620</oasis:entry>  
         <oasis:entry colname="col4">1605</oasis:entry>  
         <oasis:entry colname="col5">16 053</oasis:entry>  
         <oasis:entry colname="col6">29 962</oasis:entry>  
         <oasis:entry colname="col7">0.30</oasis:entry>  
         <oasis:entry colname="col8">0.65</oasis:entry>  
         <oasis:entry colname="col9">0.30</oasis:entry>  
         <oasis:entry colname="col10">0.30</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">DK</oasis:entry>  
         <oasis:entry colname="col2">2 848 719</oasis:entry>  
         <oasis:entry colname="col3">9250</oasis:entry>  
         <oasis:entry colname="col4">18</oasis:entry>  
         <oasis:entry colname="col5">1001</oasis:entry>  
         <oasis:entry colname="col6">8231</oasis:entry>  
         <oasis:entry colname="col7">0.32</oasis:entry>  
         <oasis:entry colname="col8">0.69</oasis:entry>  
         <oasis:entry colname="col9">0.31</oasis:entry>  
         <oasis:entry colname="col10">0.33</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">EE</oasis:entry>  
         <oasis:entry colname="col2">833 846</oasis:entry>  
         <oasis:entry colname="col3">1522</oasis:entry>  
         <oasis:entry colname="col4">491</oasis:entry>  
         <oasis:entry colname="col5">929</oasis:entry>  
         <oasis:entry colname="col6">102</oasis:entry>  
         <oasis:entry colname="col7">0.18</oasis:entry>  
         <oasis:entry colname="col8">4.23</oasis:entry>  
         <oasis:entry colname="col9">0.17</oasis:entry>  
         <oasis:entry colname="col10">0.04</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ES</oasis:entry>  
         <oasis:entry colname="col2">16 197 831</oasis:entry>  
         <oasis:entry colname="col3">71 338</oasis:entry>  
         <oasis:entry colname="col4">7211</oasis:entry>  
         <oasis:entry colname="col5">59 786</oasis:entry>  
         <oasis:entry colname="col6">4341</oasis:entry>  
         <oasis:entry colname="col7">0.44</oasis:entry>  
         <oasis:entry colname="col8">0.39</oasis:entry>  
         <oasis:entry colname="col9">0.44</oasis:entry>  
         <oasis:entry colname="col10">0.50</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FI</oasis:entry>  
         <oasis:entry colname="col2">1 595 663</oasis:entry>  
         <oasis:entry colname="col3">1207</oasis:entry>  
         <oasis:entry colname="col4">0</oasis:entry>  
         <oasis:entry colname="col5">246</oasis:entry>  
         <oasis:entry colname="col6">961</oasis:entry>  
         <oasis:entry colname="col7">0.08</oasis:entry>  
         <oasis:entry colname="col8">0.00</oasis:entry>  
         <oasis:entry colname="col9">0.05</oasis:entry>  
         <oasis:entry colname="col10">0.09</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">FR</oasis:entry>  
         <oasis:entry colname="col2">21 219 530</oasis:entry>  
         <oasis:entry colname="col3">52 096</oasis:entry>  
         <oasis:entry colname="col4">2919</oasis:entry>  
         <oasis:entry colname="col5">12 376</oasis:entry>  
         <oasis:entry colname="col6">36 801</oasis:entry>  
         <oasis:entry colname="col7">0.25</oasis:entry>  
         <oasis:entry colname="col8">0.38</oasis:entry>  
         <oasis:entry colname="col9">0.20</oasis:entry>  
         <oasis:entry colname="col10">0.26</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HR</oasis:entry>  
         <oasis:entry colname="col2">1 386 169</oasis:entry>  
         <oasis:entry colname="col3">1409</oasis:entry>  
         <oasis:entry colname="col4">0</oasis:entry>  
         <oasis:entry colname="col5">1389</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7">0.10</oasis:entry>  
         <oasis:entry colname="col8">0.00</oasis:entry>  
         <oasis:entry colname="col9">0.11</oasis:entry>  
         <oasis:entry colname="col10">0.04</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HU</oasis:entry>  
         <oasis:entry colname="col2">5 279 547</oasis:entry>  
         <oasis:entry colname="col3">11 382</oasis:entry>  
         <oasis:entry colname="col4">374</oasis:entry>  
         <oasis:entry colname="col5">7469</oasis:entry>  
         <oasis:entry colname="col6">3539</oasis:entry>  
         <oasis:entry colname="col7">0.22</oasis:entry>  
         <oasis:entry colname="col8">0.14</oasis:entry>  
         <oasis:entry colname="col9">0.22</oasis:entry>  
         <oasis:entry colname="col10">0.21</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">IE</oasis:entry>  
         <oasis:entry colname="col2">633 624</oasis:entry>  
         <oasis:entry colname="col3">4806</oasis:entry>  
         <oasis:entry colname="col4">193</oasis:entry>  
         <oasis:entry colname="col5">765</oasis:entry>  
         <oasis:entry colname="col6">3848</oasis:entry>  
         <oasis:entry colname="col7">0.76</oasis:entry>  
         <oasis:entry colname="col8">0.41</oasis:entry>  
         <oasis:entry colname="col9">1.34</oasis:entry>  
         <oasis:entry colname="col10">0.73</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">IT</oasis:entry>  
         <oasis:entry colname="col2">10 771 414</oasis:entry>  
         <oasis:entry colname="col3">37 484</oasis:entry>  
         <oasis:entry colname="col4">179</oasis:entry>  
         <oasis:entry colname="col5">26 747</oasis:entry>  
         <oasis:entry colname="col6">10 558</oasis:entry>  
         <oasis:entry colname="col7">0.35</oasis:entry>  
         <oasis:entry colname="col8">0.09</oasis:entry>  
         <oasis:entry colname="col9">0.33</oasis:entry>  
         <oasis:entry colname="col10">0.41</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LT</oasis:entry>  
         <oasis:entry colname="col2">3 039 619</oasis:entry>  
         <oasis:entry colname="col3">2522</oasis:entry>  
         <oasis:entry colname="col4">17</oasis:entry>  
         <oasis:entry colname="col5">2472</oasis:entry>  
         <oasis:entry colname="col6">33</oasis:entry>  
         <oasis:entry colname="col7">0.08</oasis:entry>  
         <oasis:entry colname="col8">0.64</oasis:entry>  
         <oasis:entry colname="col9">0.08</oasis:entry>  
         <oasis:entry colname="col10">0.07</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LU</oasis:entry>  
         <oasis:entry colname="col2">84 770</oasis:entry>  
         <oasis:entry colname="col3">177</oasis:entry>  
         <oasis:entry colname="col4">75</oasis:entry>  
         <oasis:entry colname="col5">37</oasis:entry>  
         <oasis:entry colname="col6">65</oasis:entry>  
         <oasis:entry colname="col7">0.21</oasis:entry>  
         <oasis:entry colname="col8">0.66</oasis:entry>  
         <oasis:entry colname="col9">0.11</oasis:entry>  
         <oasis:entry colname="col10">0.16</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LV</oasis:entry>  
         <oasis:entry colname="col2">1 458 272</oasis:entry>  
         <oasis:entry colname="col3">316</oasis:entry>  
         <oasis:entry colname="col4">42</oasis:entry>  
         <oasis:entry colname="col5">243</oasis:entry>  
         <oasis:entry colname="col6">31</oasis:entry>  
         <oasis:entry colname="col7">0.02</oasis:entry>  
         <oasis:entry colname="col8">0.23</oasis:entry>  
         <oasis:entry colname="col9">0.02</oasis:entry>  
         <oasis:entry colname="col10">0.03</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ME</oasis:entry>  
         <oasis:entry colname="col2">16 650</oasis:entry>  
         <oasis:entry colname="col3">1</oasis:entry>  
         <oasis:entry colname="col4">0</oasis:entry>  
         <oasis:entry colname="col5">1</oasis:entry>  
         <oasis:entry colname="col6">0</oasis:entry>  
         <oasis:entry colname="col7">0.01</oasis:entry>  
         <oasis:entry colname="col8">0.00</oasis:entry>  
         <oasis:entry colname="col9">0.02</oasis:entry>  
         <oasis:entry colname="col10">0.00</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">MK</oasis:entry>  
         <oasis:entry colname="col2">51 9104</oasis:entry>  
         <oasis:entry colname="col3">1330</oasis:entry>  
         <oasis:entry colname="col4">6</oasis:entry>  
         <oasis:entry colname="col5">712</oasis:entry>  
         <oasis:entry colname="col6">612</oasis:entry>  
         <oasis:entry colname="col7">0.26</oasis:entry>  
         <oasis:entry colname="col8">0.03</oasis:entry>  
         <oasis:entry colname="col9">0.21</oasis:entry>  
         <oasis:entry colname="col10">0.37</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">NL</oasis:entry>  
         <oasis:entry colname="col2">1 305 917</oasis:entry>  
         <oasis:entry colname="col3">18874</oasis:entry>  
         <oasis:entry colname="col4">213</oasis:entry>  
         <oasis:entry colname="col5">6943</oasis:entry>  
         <oasis:entry colname="col6">11 718</oasis:entry>  
         <oasis:entry colname="col7">1.45</oasis:entry>  
         <oasis:entry colname="col8">1.30</oasis:entry>  
         <oasis:entry colname="col9">1.45</oasis:entry>  
         <oasis:entry colname="col10">1.44</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">NO</oasis:entry>  
         <oasis:entry colname="col2">703 367</oasis:entry>  
         <oasis:entry colname="col3">557</oasis:entry>  
         <oasis:entry colname="col4">20</oasis:entry>  
         <oasis:entry colname="col5">244</oasis:entry>  
         <oasis:entry colname="col6">293</oasis:entry>  
         <oasis:entry colname="col7">0.08</oasis:entry>  
         <oasis:entry colname="col8">0.07</oasis:entry>  
         <oasis:entry colname="col9">0.08</oasis:entry>  
         <oasis:entry colname="col10">0.08</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PL</oasis:entry>  
         <oasis:entry colname="col2">15 705 655</oasis:entry>  
         <oasis:entry colname="col3">14 246</oasis:entry>  
         <oasis:entry colname="col4">622</oasis:entry>  
         <oasis:entry colname="col5">6629</oasis:entry>  
         <oasis:entry colname="col6">6995</oasis:entry>  
         <oasis:entry colname="col7">0.09</oasis:entry>  
         <oasis:entry colname="col8">0.85</oasis:entry>  
         <oasis:entry colname="col9">0.08</oasis:entry>  
         <oasis:entry colname="col10">0.09</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PT</oasis:entry>  
         <oasis:entry colname="col2">2 363 011</oasis:entry>  
         <oasis:entry colname="col3">7099</oasis:entry>  
         <oasis:entry colname="col4">79</oasis:entry>  
         <oasis:entry colname="col5">6840</oasis:entry>  
         <oasis:entry colname="col6">180</oasis:entry>  
         <oasis:entry colname="col7">0.30</oasis:entry>  
         <oasis:entry colname="col8">0.14</oasis:entry>  
         <oasis:entry colname="col9">0.31</oasis:entry>  
         <oasis:entry colname="col10">0.24</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">RO</oasis:entry>  
         <oasis:entry colname="col2">9 003 396</oasis:entry>  
         <oasis:entry colname="col3">5828</oasis:entry>  
         <oasis:entry colname="col4">59</oasis:entry>  
         <oasis:entry colname="col5">2178</oasis:entry>  
         <oasis:entry colname="col6">3591</oasis:entry>  
         <oasis:entry colname="col7">0.06</oasis:entry>  
         <oasis:entry colname="col8">0.06</oasis:entry>  
         <oasis:entry colname="col9">0.06</oasis:entry>  
         <oasis:entry colname="col10">0.07</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">RS</oasis:entry>  
         <oasis:entry colname="col2">3 216 526</oasis:entry>  
         <oasis:entry colname="col3">2430</oasis:entry>  
         <oasis:entry colname="col4">0</oasis:entry>  
         <oasis:entry colname="col5">792</oasis:entry>  
         <oasis:entry colname="col6">1638</oasis:entry>  
         <oasis:entry colname="col7">0.08</oasis:entry>  
         <oasis:entry colname="col8">0.00</oasis:entry>  
         <oasis:entry colname="col9">0.05</oasis:entry>  
         <oasis:entry colname="col10">0.12</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SE</oasis:entry>  
         <oasis:entry colname="col2">3 097 711</oasis:entry>  
         <oasis:entry colname="col3">5728</oasis:entry>  
         <oasis:entry colname="col4">99</oasis:entry>  
         <oasis:entry colname="col5">734</oasis:entry>  
         <oasis:entry colname="col6">4895</oasis:entry>  
         <oasis:entry colname="col7">0.18</oasis:entry>  
         <oasis:entry colname="col8">0.38</oasis:entry>  
         <oasis:entry colname="col9">0.13</oasis:entry>  
         <oasis:entry colname="col10">0.19</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SI</oasis:entry>  
         <oasis:entry colname="col2">390 067</oasis:entry>  
         <oasis:entry colname="col3">332</oasis:entry>  
         <oasis:entry colname="col4">11</oasis:entry>  
         <oasis:entry colname="col5">280</oasis:entry>  
         <oasis:entry colname="col6">41</oasis:entry>  
         <oasis:entry colname="col7">0.09</oasis:entry>  
         <oasis:entry colname="col8">0.12</oasis:entry>  
         <oasis:entry colname="col9">0.09</oasis:entry>  
         <oasis:entry colname="col10">0.06</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">SK</oasis:entry>  
         <oasis:entry colname="col2">1 708 584</oasis:entry>  
         <oasis:entry colname="col3">2660</oasis:entry>  
         <oasis:entry colname="col4">0</oasis:entry>  
         <oasis:entry colname="col5">1445</oasis:entry>  
         <oasis:entry colname="col6">1215</oasis:entry>  
         <oasis:entry colname="col7">0.16</oasis:entry>  
         <oasis:entry colname="col8">0.00</oasis:entry>  
         <oasis:entry colname="col9">0.13</oasis:entry>  
         <oasis:entry colname="col10">0.20</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TR</oasis:entry>  
         <oasis:entry colname="col2">22 698 637</oasis:entry>  
         <oasis:entry colname="col3">16 761</oasis:entry>  
         <oasis:entry colname="col4">7153</oasis:entry>  
         <oasis:entry colname="col5">4259</oasis:entry>  
         <oasis:entry colname="col6">5349</oasis:entry>  
         <oasis:entry colname="col7">0.07</oasis:entry>  
         <oasis:entry colname="col8">0.08</oasis:entry>  
         <oasis:entry colname="col9">0.08</oasis:entry>  
         <oasis:entry colname="col10">0.06</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">UK</oasis:entry>  
         <oasis:entry colname="col2">6 893 964</oasis:entry>  
         <oasis:entry colname="col3">8832</oasis:entry>  
         <oasis:entry colname="col4">671</oasis:entry>  
         <oasis:entry colname="col5">1552</oasis:entry>  
         <oasis:entry colname="col6">6609</oasis:entry>  
         <oasis:entry colname="col7">0.13</oasis:entry>  
         <oasis:entry colname="col8">0.21</oasis:entry>  
         <oasis:entry colname="col9">0.25</oasis:entry>  
         <oasis:entry colname="col10">0.11</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">XK</oasis:entry>  
         <oasis:entry colname="col2">287 741</oasis:entry>  
         <oasis:entry colname="col3">840</oasis:entry>  
         <oasis:entry colname="col4">0</oasis:entry>  
         <oasis:entry colname="col5">832</oasis:entry>  
         <oasis:entry colname="col6">8</oasis:entry>  
         <oasis:entry colname="col7">0.29</oasis:entry>  
         <oasis:entry colname="col8">0.00</oasis:entry>  
         <oasis:entry colname="col9">0.31</oasis:entry>  
         <oasis:entry colname="col10">0.06</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Total</oasis:entry>  
         <oasis:entry colname="col2">161 723 114</oasis:entry>  
         <oasis:entry colname="col3">368 845</oasis:entry>  
         <oasis:entry colname="col4">27 031</oasis:entry>  
         <oasis:entry colname="col5">180 390</oasis:entry>  
         <oasis:entry colname="col6">161 424</oasis:entry>  
         <oasis:entry colname="col7">0.23</oasis:entry>  
         <oasis:entry colname="col8">0.2</oasis:entry>  
         <oasis:entry colname="col9">0.25</oasis:entry>  
         <oasis:entry colname="col10">0.21</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Graphic presentation of land take impact on arable land for each
country.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://se.copernicus.org/articles/8/683/2017/se-8-683-2017-f06.png"/>

      </fig>

      <p>Good soils for the provision of biomass on arable land dominate in large
parts of north-western Europe, such as lots of regions in the UK,
north-western France, the Benelux countries, Germany, Denmark, Poland, Czech
Republic, Hungary, and Bulgaria. Even some regions in central Turkey have a
high share of good soils. Low shares can be found mainly in the western
Balkan countries, the Iberian Peninsula, Romania, the Baltic countries and
some regions in Finland and Sweden. Compared to the average soils, the
number of NUTS-3 regions with a very high share of good soils is even
bigger; almost 140 regions have a majority share of good soils, with the
upper seven regions exceeding 80 % (four regions in the UK, two in
Romania, and one in Germany) (Fig. 4).</p>
      <p>The highest land take impacts on the biomass productivity potentials of
arable land were found in Albania (AL) (3.97 %), the Netherlands (NL)
(1.45 %), Cyprus (CY) (1.39 %), and Ireland (IE) (0.76 %) (Table 3 and
Fig. 6). However, when expressing the impacts on an absolute (in hectare)
rather than on a relative (in percentage) basis, Spain, France, and Germany
rank highest (with 71 338, 52 096, and 47 620 ha, respectively). Thus,
even though the relative impact may be low in some countries, the absolute
impact may be quite high. For example, while the share of land with good and
average productivity potentials is very similar (0.5 and 0.44 %,
respectively), the total area of land with good productivity potential is
far lower (4341 ha) than that of average productivity potential (59 786 ha) (Table 3). Therefore, it is better to consider the absolute and
relative values in parallel.</p>
      <p>Figure 5 describes the impact of land take (the combination of LCF2 and
LCF3, i.e. residential, commercial, industrial, and infrastructure-related
extension) on arable land with poor, average, and good potentials for the
provision of biomass.</p>
      <p>In general, the map illustrates that regions with a very high impact of
urban land take on poor soils are scattered across Europe; there is no
geographic area with a striking clustering of such regions. However, the
south-eastern part of Europe only contains a few NUTS-3 regions with a high
impact: Cyprus, Istanbul, and one region in Romania (Galati, RO224). Also,
Albania possesses some regions with a high to very high impact of urban land
take. Conversely, the NUTS-3 regions with the highest relative impact
still possess only low to very low shares of poor soils within the NUTS-3
regions. Most of these regions are located in north-western Europe (the UK,
Ireland, and Germany), some isolated ones can be found in south-western France,
Italy, and Poland. When looking at absolute impacts (in terms of total area
affected) of urban expansion on poor arable soils, four regions,
located in southern Europe, stand out. Except for Seville (ES618), all other regions
(Cyprus, Istanbul, and Valladolid) also have high to very high relative
impacts.</p>
      <p>Figure 5 clearly shows that, on the one hand, regions with a high to very high
impact of urban expansion activities on average soils are distributed across
Europe, but that, on the other hand, some clusters exist. Most striking is
Albania, which comprises the two regions with the highest relative impact
(AL00B and AL002, Tirana and Durres, with 14.8 and 12.1 %, respectively);
followed by the Netherlands, Germany, Italy, and Spain, which also possess a
number of regions with a very high impact of urban land take on average
soils.</p>
      <p>In terms of absolute values, only a few of the previous regions are among the highest ranking. Interestingly, both Albanian regions also possess a large
absolute value (2752 and 1997 ha, respectively). However, the region with by far the
highest absolute value is the region of Madrid (ES300), with 11 854 ha of
average soils lost due to land take, which corresponds to 5.2 % in
relative terms. The absolute value of Madrid is more than double that of
the second highest region, which is another Spanish region (Toledo), followed
by two other Spanish regions (Ciudad Real and Zaragoza). Remarkably, many
more Spanish regions follow in the ranking. This implies
a very high absolute loss of average soils due to land take, but often
with less relevance when it comes to the relative impact (often intermediate,
sometimes high values regarding the share of soils with average potential in
a particular NUTS-3 area).</p>
      <p>Regarding the distribution of regions with a very high impact of land take
on good soils, some clusters of regions and/or hotspots exist. One is located in
the Netherlands and western Germany, another one in the western Balkans
(including Albania), a third one from northern Italy (Umbria and Po valleys)
to south-eastern France (Alpes and Provence, Rhone Valley), a fourth one on
the Iberian Peninsula, and a fifth one in Ireland. The relative impact ranges
from 38.9 % in Tirana (AL00B) over 34.7 % (NL332, Agglomeratie
`s-Gravenhage), 27.7 % (NL327, Het Gooi en Vechtstreek), and 15 %
(NL325, Zaanstreek) to several regions between 10.6 and 5 % of an impact.</p>
      <p>In terms of absolute values, most of those regions with very high relative
impact values do not score very high, though. Only two Albanian regions as
well as one Irish region stand out. Otherwise, there are five other
regions (next to Tirana, AL00B) that have more than 2000 ha of impacted
good soils on arable land. Three of those regions are located in France, one
in Turkey, and one in the Czech Republic. In terms of relative impacts, they
possess intermediate to high values (between 0.34 and 0.81 %).
Interestingly, many of the high-ranked regions possess a share of more than
50 % of good soils; however, there are also some regions with a very low
share. One of those regions is again Tirana with a share of 3.4 %; others
are AL00A (Shkoder, 5.5 %) and ES523 (Valencia, 4.3 %). The latter two
also show very high relative values of the impact of land take on the good
soils, that is, of the limited area with good soils available, a high share
is affected by land take.</p>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p>In general, most of the arable lands have good productivity potentials, both
at country level (18 countries out of 36) and when considering the entire
coverage of the study area (46.32 %).</p>
      <p>However, the European picture is, as expected, very heterogeneous. The urban
residential expansion and extension of economic sites and infrastructure
activities is spatially distributed across Europe, with very low (green) to
very high (red) impact on the biomass productivity of arable land. Several
hotspot areas can be identified in which land take clearly affects soils
with a capacity to provide biomass.</p>
      <p>The highest share of arable land affected by land take was found in Albania
(AL) (3.97 %), the Netherlands (NL) (1.45 %), Cyprus (CY) (1.39 %), and
Ireland (IE) (0.76 %). However, when the impacted lands are considered in
hectare, Spain, France, and Germany are the highest ranked. High and
very high impacts on good land can mainly be detected in regions in Ireland,
Spain, France, Germany, Italy, and the Balkan countries. Average land is
strongly impacted in Albania, the Netherlands, Germany, and Italy.
Very high impacts of urban land take on poor soils are scattered across
Europe.</p>
      <p>When taking the gross domestic product of the outstanding regions into
account, there seems to be no direct relation to the economic situation of a
region. Both well-developed and less-developed regions experience high to
very high impacts of land-take-related land cover flows on the soil
productivity.</p>
      <p>Several hotspot areas are identified in which land take clearly affects soils
with a capacity to provide biomass. The Madrid region is one of the hotspots
of urban development in Europe, experiencing a rate of 50 % growth in the
1990s, compared to 25 % national and 5.4 % EU average rates (EEA,
2006a). The trend attenuated between 2000 and 2006 (around 20 %) but is
still present. According to Díaz-Pacheco and
García-Palomares (2014) the urban land surface grew at a rate in excess
of 4 % per year. Tóth (2012) shows that the urban sprawl of Madrid
occurred to a large extent on arable land. According to the EEA report (EEA,
2006a) major drivers are (i) the growing demand for first and second homes
caused by economic growth and low interest rates despite a rather modest
population growth; (ii) increased mobility; (iii) increasing housing prices,
which force more people to move further and further into the city suburbs;
and (iv) a weak planning framework. The reasons for land take differ from
country to country; nevertheless, these major drivers that were given for the
Madrid region might be valid for most of the regions or countries in Europe
with the addition of some drivers such as new developments along
transportation axes, tourism, and coastline diffusion in general. Moreover,
the OECD reports (OECD, 2007) that rapid and partly unplanned development led
to urban sprawl in the Madrid region.</p>
      <p>Alongside the situation in the Madrid region, the EEA (EEA, 2006a) also
presents the example of the occurring urban sprawl along the Spanish and
Portuguese coastlines. In these areas, sprawl mainly consists of diffuse
settlements adjacent to or disconnected from concentrated urban centres. This
residential sprawl is responsible for more than 45 % of coastal zone land
transformation into artificial surfaces. In Portugal, 50 % of urban areas
are located between Lisbon–Setubal and Porto–Viana do Castelo within 13 km
from the shoreline, hence covering only 13 % of the total land area. In
Spain economic growth, legislative flexibility, and tourism resulted in an
increased number of households and second homes along the coast, in
combination with infrastructure and leisure facility development.</p>
      <p>Outside the Iberian Peninsula, the Po Valley and the adjacent Emilia-Romagna
Plain (ERP) have a long history of urban expansion. The valley has soils
that are amongst the most fertile in Europe. Even though the entire region
is called “Food Valley”, more and more of its agricultural area is
irreversibly converted into urban fabric, either for residential or
industrial and commercial use, continuing at a rate of 1 ha per day (EC,
2011). The movie “Il suolo minacciato” (“Land under threat”) presented
during Green Week 2011 uses the example of these two confronting
pressures on land to highlight what is currently happening in this region.
Malucelli et al. (2014) confirm that while the extent of woodland,
grassland, natural areas, and wetlands in the ERP did not change
significantly, urban and industrial areas increased to the detriment almost
exclusively of cropland. The analysis in the current study highlights that
mainly good and average land is affected.</p>
      <p>The impacts of land take on regions in southern France are also already
described and explained in the EEA report on urban sprawl (EEA, 2006a). This
so-called “inverse T” of urban sprawl along the Rhone Valley down to the
Mediterranean coast is caused by new developments along transportation axes
and coastlines (which are often connected to river valleys).</p>
      <p>Another prominent and well-known region of urban sprawl and related land take
is the Dublin metropolitan area, which can be recognized on the maps of
average and good soils. In the past, population growth and economic
development were responsible for the expansion of the metropolitan area
further to the outskirts (EEA, 2006a).</p>
      <p>In Germany, land take is most prominent in the region comprising the
“Ruhrgebiet” (in particular the regions around its core), in parts of
southern Germany, but also in eastern Germany, particularly in some regions
that are experiencing an improvement in their economic situation (e.g.
Leipzig). Prokop et al. (2011) state that despite having defined a target of
reducing land take to 30 ha day<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> until 2020, the measures taken so
far have not been sufficient.</p>
      <p>In the Netherlands most regions have experienced and are still experiencing
rapid urban expansion along the urban–rural fringes during the past decades,
which is still ongoing, although spatial planning policies were seeking to
promote compact urban developments (Nabielek et al., 2013). This increase in
land take is also documented in Prokop et al. (2011), showing the constant
increase in built-up area between the 1960s and 2006 (Fig. 49 in Prokop et
al., 2011). A similar picture appears in the Flanders region (Belgium), where
the typical ribbon development continues at a rate of 6 ha per day of
which 5 ha is due to residential sprawl (Gregor et al., 2015).</p>
      <p>Regarding the conversion of arable land to urbanized areas in the central
and eastern European countries, it can be assumed that the accession to the
EU in 2004 and the related economic development together with benefits from
regional development programmes were the leading driving forces to the
expansion of residential, but mainly industrial and commercial, areas,
primarily at the expense of good and average lands. Very recent statistics on
the cohesion funding amount allocated per member state (EC, 2015) confirm
that some of the eastern European countries rank amongst the top. For
example, Poland is the country with the highest amount allocated, while the Czech
Republic and Hungary rank fourth and sixth, respectively.</p>
      <p>Without being a member state of the EU, Albania has undergone significant
changes with regards to urban expansion and land take. In particular, average
and good soils for providing biomass on arable land have been converted into
artificial surfaces, according to the most recent assessment of the
EEA (2013b) on land take indicator coded CSI 014. This has happened at the
expense of grassland and mixed farmland (in total 73 % of the total land
uptake), which is of relevance in this context of arable land. Likewise, in
Bosnia and Herzegovina 72 % of the total land take occurred on grassland
or mixed farmland areas.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusion</title>
      <p>The potentials and the actual use of the lands were linked, and impact of
land take on arable lands with good, average, and poor production potentials
were assessed and mapped successfully by this study. According to the
results, from 2000 to 2006 0.23 % of the production potential on arable
land in the study area was lost as a consequence of land take; over the
period 1990–2006, this loss amounted to 0.81 % (EEA, 2015). Especially
the arable lands that have good production potential and have been impacted
by land take can be considered as lands that have not been used according to
their theoretical potentials. This situation of arable lands with high
productivity potentials is creating pressure on soils and other
ecosystem types, resulting in threats to soil biodiversity, all other soil
functions, and ecosystem services. Since Europe is approaching a time when being
able to demonstrate good land resource management will be critical for food
security and achieving other soil protection and land degradation neutrality
targets, this situation is getting attention. Moreover, the countries and
hotspot regions that have the highest land take impact on the biomass
productivity potentials of arable land, was indicated by this study, can be
considered as the areas that also have potential future land use conflicts.
Therefore, assessment and mapping of the land take impacts on arable land
for the 2006–2012 period is essential to understanding the trends of the
countries and to monitor the situation.</p>
      <p>Interpreting the assessment results and observing the spatial distribution
of the small number of impacts on this scale was quite hard. Even though
the impacts were calculated based on pixels, interpreting them on NUTS-3
units was helpful. Also, considering the absolute (in hectares) and relative
(as a percentage) values in parallel is important because of the different
coverages of the countries. It should be remembered that, even though the
relative impact may be low in some countries, the absolute impact may be
quite high.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p>The soil productivity data on arable land are publicly
accessible on the JRC ESDAC web page
(<ext-link xlink:href="http://esdac.jrc.ec.europa.eu/content/soil-biomass-productivity-maps-grasslands-and-pasture-coplands-and-forest-areas-european">http://esdac.jrc.ec.europa.eu/content/soil-biomass-productivity-maps-grasslands-and-pasture-coplands-and-forest-areas-european</ext-link>;
ESDAC, 2017). The land cover flow data are publicly accessible on the EEA web
page for the years 1990–2000
(<ext-link xlink:href="https://www.eea.europa.eu/data-and-maps/data/land-cover-flows-based-on-corine-land-cover-changes-database-1990-2000-1">https://www.eea.europa.eu/data-and-maps/data/land-cover-flows-based-on-corine-land-cover-changes-database-1990-2000-1</ext-link>;
EEA, 2006b). The methodology for the year 2000–2006 is available on the
following web page:
<uri>https://www.eea.europa.eu/data-and-maps/figures/dominant-land-cover-flow-2000-2006</uri>
(EEA, 2013c). All Corine Land Cover and Corine Land Cover Changes raster
layers are publicly accessible on the following web page:
<uri>http://land.copernicus.eu/pan-european/corine-land-cover</uri> (CORINE,
2017).</p>
  </notes><?xmltex \hack{\newpage}?><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p>We are grateful to the two anonymous reviewers for their valuable comments and
detailed suggestions to improve this study.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Antonio Jordán<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

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    <!--<article-title-html>Assessing and analysing the impact of land take pressures on arable land</article-title-html>
<abstract-html><p class="p">Land, and in particular soil, is a finite and essentially non-renewable
resource. Across the European Union, land take, i.e. the increase of
settlement area over time, annually consumes more than 1000 km<sup>2</sup> of
which half is actually sealed and hence lost under impermeable surfaces. Land
take, and in particular soil sealing, has already been identified as one of
the major soil threats in the 2006 European Commission Communication
<q>Towards a Thematic Strategy on Soil Protection</q> and the Soil Thematic
Strategy and has been confirmed as such in the report on the implementation
of this strategy. The aim of this study is to relate the potential of land
for a particular use in a given region with the actual land use. This allows
evaluating whether land (especially the soil dimension) is used according to
its (theoretical) potential. To this aim, the impact of several land cover
flows related to urban development on soils with good, average, and poor
production potentials were assessed and mapped. Thus, the amount and quality
(potential for agricultural production) of arable land lost between the years
2000 and 2006 was identified. In addition, areas with high productivity
potential around urban areas, indicating areas of potential future land use
conflicts for Europe, were identified.</p></abstract-html>
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