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

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B. Terrones et al. 2010. Detecting vulnerable spots for ecological connectivity caused by minor road network<br />

680<br />

species <strong>and</strong> l<strong>and</strong>scape specific, because it depends not only on characteristics of the l<strong>and</strong>scape,<br />

but also on aspects of the mobility of the organism (Tischendorf <strong>and</strong> Fahrig 2000).<br />

Application of connectivity models for the study of ecological processes <strong>and</strong> species movement<br />

is a useful tool in conservation planning (Adriansen et al. 2003; Nikolakaki 2004; Marulli <strong>and</strong><br />

Mallarach, 2005; Driezen et al. 2007) <strong>and</strong> it can be an interesting tool for predicting the effect<br />

of changes in the l<strong>and</strong>scape on connectivity in a quantitative way (Adriansen et al. 2003). These<br />

models produce a map of the relative cost of reaching particular areas in a l<strong>and</strong>scape from a<br />

source.<br />

This work presents a methodological spatial approach based on Geographical Information<br />

System (GIS) that (1) enables a connectivity diagnose of terrestrial l<strong>and</strong>scape ecosystems <strong>and</strong><br />

(2) makes possible the identification of vulnerable spots that have a critical importance for<br />

ecological connectivity. These results will provide useful guidelines for l<strong>and</strong>scape conservation<br />

planning at local level (Municipalities <strong>and</strong> Local Administrations).<br />

2. Methodology<br />

2.1 Habitat maps<br />

We created a l<strong>and</strong> use map for Alicante’s Province compiling information about l<strong>and</strong> use <strong>and</strong><br />

vegetation cover from different sources. The original map was the Spanish <strong>Forest</strong> Map<br />

(MFE50), which was reclassified. We used CORINE l<strong>and</strong> cover map, road <strong>and</strong> railway network<br />

<strong>and</strong> urban areas cartography to complete it. The final map recognized 32 l<strong>and</strong>-use types, of<br />

which 7 are linear structures. In order to improve a finer analysis resolution <strong>and</strong> to incorporate<br />

barriers <strong>and</strong> connection spots at l<strong>and</strong>scape level, we also created derived cartography, as road<br />

network impact <strong>and</strong> urban areas impact maps (decreasing connectivity), <strong>and</strong> hydrological<br />

network map <strong>and</strong> tunnels <strong>and</strong> bridges map (improving connectivity). These maps were<br />

converted to raster format, with a cell resolution of 20x20 meters.<br />

2.2 Least-cost analysis<br />

Connectivity models are based on the creation of a friction surface that indicates the relative<br />

cost of moving for target species across the l<strong>and</strong>scape (Figure 1). We used raster format, from<br />

ArcGIS software, with a cell resolution of 20x20 meters.<br />

Figure 1: Methodology of the process followed.<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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