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Landscapes Forest and Global Change - ESA - Escola Superior ...

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M.G.C. Martins & J. Aranha 2010. Electrical network hazard assessment for the avifauna in Portugal<br />

260<br />

Table 2: Electrical power line classification, according to hazard level<br />

Electrocution<br />

Collision<br />

Class Death_class Number of lines Length (km) Length (%)<br />

1 [0 ; 0,83] 6447 1597,375 9,21<br />

2 [0,83 ; 1,66] 4386 1698,577 9,79<br />

3 [1,66 ; 2,49] 14926 6024,488 34,72<br />

4 [2,49 ; 3,33] 11267 4899,044 28,24<br />

5 [3,33 ; 4,16] 8223 3130,009 18,04<br />

1 [0 ; 1,32] 6248 2649,333 17,28<br />

2 [1,32 ; 2,65] 9360 3439,777 22,46<br />

3 [2,65 ; 3,97] 10557 3761,530 24,53<br />

4 [3,97 ; 5,30] 6365 2356,527 15,37<br />

5 [5,30 ; 6,63] 7685 3128,657 20,40<br />

Final results enable to state that Portuguese country areas with lower degree of birds’ electric<br />

shock danger are: the north <strong>and</strong> part of the center, as well as the southwestern district of Lisbon,<br />

<strong>and</strong> the coastline of the districts of Setúbal <strong>and</strong> Beja.<br />

In the districts of Guarda, Castelo Branco; Bragança, Braga, Porto, Portalegre, Santarém (North),<br />

Setubal <strong>and</strong> Viana do Castelo dominates the middle class of danger (see Figure 1 for location).<br />

The regions under high hazard level are: the districts of Évora, Santarém (South), Lisboa<br />

(northeast) Beja (central <strong>and</strong> northern) <strong>and</strong> Faro.<br />

According to the power line network characteristics <strong>and</strong> location, the south of Portugal is the<br />

results most concern as well the central coast.<br />

4. Discussion<br />

The objectives of this study were successfully achieved. The entire power line net work was<br />

classified <strong>and</strong> analysed, for the entire country, the relationship between power network <strong>and</strong><br />

environmental characteristics, with special relevance for Natural Regions <strong>and</strong> Protected Areas.<br />

We would like to highlight the following results:<br />

the worst case scenario, related to collision hazard, indicates that the high <strong>and</strong> very high hazard<br />

classes of collision are present in more than 36% of the total analysed kilometres,<br />

for electrocution hazard, the worst forecast indicates the prevalence of high <strong>and</strong> very high<br />

hazard classes in approximately 50% of the total analysed kilometres.<br />

These results are worrying in terms of ecology, <strong>and</strong> should wherever possible, be eliminated or<br />

minimised in order to reduce negative effects on avifauna,<br />

for Natural Regions <strong>and</strong> Protected Areas, the results indicate that the high <strong>and</strong> very high hazard<br />

classes of collision are present in more than 43% of the total analysed kilometres, the high <strong>and</strong><br />

very high hazard classes of electrocution are present in more than 34% of the total analysed<br />

kilometres <strong>and</strong> 43% classified as middle class.<br />

References<br />

Bernhardsen, T. 1999. Geographical Information Systems, an introduction – Second<br />

Edition. John Wiley & Sons, Inc. New York. U.S.A.<br />

<strong>Forest</strong> <strong>L<strong>and</strong>scapes</strong> <strong>and</strong> <strong>Global</strong> <strong>Change</strong>-New Frontiers in Management, Conservation <strong>and</strong> Restoration. Proceedings of the IUFRO L<strong>and</strong>scape Ecology<br />

Working Group International Conference, September 21-27, 2010, Bragança, Portugal. J.C. Azevedo, M. Feliciano, J. Castro & M.A. Pinto (eds.)<br />

2010, Instituto Politécnico de Bragança, Bragança, Portugal.

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