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Europes ecological backbone.pdf

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Mountain economies and accessibility<br />

Map 3.1<br />

Classification of massifs according to the over- or under-representation of<br />

economic sectors<br />

Canary Is.<br />

Guadeloupe Martinique Réunion<br />

Guyane (F)<br />

Classification of massifs<br />

according to the overor<br />

under-representation<br />

of employment in<br />

agriculture, manufacturing<br />

and services<br />

Manufacturing<br />

over-represented<br />

Azores Is.<br />

Madeira Is.<br />

Agriculture<br />

overrepresented<br />

European average:<br />

- Agriculture 4 %<br />

- Manufacturing 26 %<br />

- Services 70 %<br />

Study area<br />

Missing data<br />

Services<br />

overrepresented<br />

© Eurogeographics, GISCO, NCRD, ESRI Romania for the administrative boundaries<br />

Software: Philcarto 3.1 - http://perso.club-internet.fr/philgeo<br />

0 500 Km<br />

Note:<br />

This map is from European Commission (2004), which addressed a different study area and defined massifs differently,<br />

especially in Sweden and Norway (see Section 1.2.4). Values estimated from data at NUTS 3 level for Czech Republic, Poland<br />

and Spain.<br />

city sizes. As result of the inclusion of the larger cities<br />

within all the travel time maps, the weight of the<br />

larger agglomerations is larger than the small towns.<br />

Therefore the average travel time represents the<br />

relative importance of the different city sizes for the<br />

surrounding rural areas. Travel times are calculated<br />

based on a friction surface that includes different<br />

road types, railroads and frequently used ferry<br />

connections. Each road type was assigned an average<br />

travel speed derived from commonly observed<br />

speeds relative to road type. The network maps do<br />

not include minor roads and paths so an off-road<br />

speed is assumed that is slightly higher than would<br />

be realistic were no minor roads present. The off-road<br />

speed was decreased in regions with steep slopes.<br />

Again, these calculations were confined to the EU‐27.<br />

Table 3.1 shows the distribution of the economic<br />

density and accessibility for the various massifs<br />

and illustrates the high heterogeneity in economic<br />

density both within and between massifs. Economic<br />

density, in particular, probably derives mainly<br />

from differences in economic conditions between<br />

countries. The central European mountains in<br />

Belgium and Germany and the French/Swiss<br />

middle mountains have the highest average<br />

economic densities, whereas, the Carpathians and<br />

Balkans/South-east Europe have the lowest values.<br />

In certain cases, high economic density results from<br />

the location of important urban conglomerations<br />

close to the mountain massif borders, when in the<br />

economic density raster, some pixels located in or<br />

46 Europe's <strong>ecological</strong> <strong>backbone</strong>: recognising the true value of our mountains

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