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

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J. Gaspar et al. 2010. Visibility analysis <strong>and</strong> visual diversity assessment in rural l<strong>and</strong>scapes<br />

487<br />

2. Methodology<br />

The methodology uses data on elevation, l<strong>and</strong> use <strong>and</strong> the height of features, focusing on forest<br />

areas, to derive <strong>and</strong> analyse the visibility of each l<strong>and</strong> use. The method is based on the<br />

measurment of the extent of l<strong>and</strong> from which different l<strong>and</strong> cover types may be visibile (Bolós,<br />

1992), on a cell-by-cell basis. The visibility calculations use a Digital Terrain Model (DTM), to<br />

which the height of the different forest species derived from growth models or inventory data<br />

were added, in order to obtain visibility results for each l<strong>and</strong> cover class across the municipality.<br />

Data were compiled for three dates: 1954, 1974 <strong>and</strong> 1995. The 1954 <strong>and</strong> 1974 data were<br />

digitised from paper maps of the l<strong>and</strong> use as mapped by the agriculture surveying services. The<br />

1995 data were produced by aerial photo-interpretation of false color imagery.<br />

The calculation of visibility is applied to the coverage of each type of l<strong>and</strong> cover, for each date,<br />

thus enabling an analysis of the combinations of visual influences of different types of l<strong>and</strong><br />

cover at any point in the l<strong>and</strong>scape (Miller, 2001; Gaspar <strong>and</strong> Fidalgo, 2002). Due to the extent<br />

of the study site, this study does not consider the effects of distance decay (Bolós, 1992) on the<br />

visibility of features (Gaspar et al., 2004).<br />

The individual visibility maps are combined to derive the l<strong>and</strong> cover types visible from each<br />

point in the municipality, as represented by a regular grid across the area. Three different levels<br />

of l<strong>and</strong>scape content were used to characterise the diversity of the views.<br />

3. Results<br />

To enable comparisons between l<strong>and</strong> use maps from different sources <strong>and</strong> with different<br />

classification schemes, a general classification scheme was developed with 9 classes (Gaspar,<br />

2005).<br />

Table 1. Extent of l<strong>and</strong> cover classes for 1954, 1974 <strong>and</strong> 1995.<br />

L<strong>and</strong> cover class<br />

1954 1974 1995<br />

Dry cropl<strong>and</strong> 13,7% 10,1% 8,5%<br />

Irrigated crops 7,5% 7,9% 2,7%<br />

Maritime pine 49,5% 64,4% 22,9%<br />

Eucalyptus 0,0% 1,7% 11,4%<br />

Broadleaved species 1,6% 1,4% 3,9%<br />

Other needle leaved species 0,1% 0,1% 0,2%<br />

Water 0,4% 0,4% 1,3%<br />

Other l<strong>and</strong> uses 26,7% 13,1% 47,5%<br />

Social areas 0,5% 0,9% 1,8%<br />

Total 100% 100% 100%<br />

The 1954 to 1974 period was marked by the progressive ab<strong>and</strong>onment of agriculture areas <strong>and</strong><br />

large plantations of Maritime pine (Pinus pinaster) (Table 1). Although tourism is now<br />

considered as one path towards a prosperous future, one of the main sources of income for the<br />

population is forest production, mainly associated to the paper industry, with the lower valleys<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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