DIGITALNA ARHIVA ŠUMARSKOG LISTA
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ŠUMARSKI LIST 11-12/2017 str. 14     <-- 14 -->        PDF

The additional potential MTB quadrants suitable for visiting were identified in the Park (Fig. 4). Number of identified quadrants does not contain any catering or accommodation. Likewise, some areas that possess such facilities were not identified by this method as visiting potential areas. The overlap with reclassified diversity values (Fig. 4) shows that the majority of MTB quadrants which are at the moment the most visited and the potential visiting areas have lower values of Shannon-Wiener diversity index for relief, habitat 25 and a number of plant species. The exception is the area in the southwest and peripheral along the border in the south and northeast side of the Park. This combined map of MTB quadrants for potentially visiting purpose, especially using the reclassification method could serve as a help in the Park’s zoning.
DISCUSSION
Rasprava
Out of three habitat/vegetation map used, one with highest spatial resolution i.e. 1:25,000 scale has proved as most suitable in this analyses. Nevertheless, for such purposes even better resolution will be needed (e.g. 1:10,000 or even 1:5,000 scale). Changing the spatial, and thematic, resolution may affect different landscape attributes and mapping accuracy (e.g. Jelaska et al., 2005; Buyantuyev & Wu, 2007), and consequently outcomes of such analyses. Therefore, spatial data on habitats with highest resolution should be used whenever possible. Latter can be applied for specifically designed questionaries’ for visitors as well. That way, results of testing whether there are differences among different groups with respect to their socio-economic status, age, education, gender, frequency of visiting etc. could be used in optimisation of visitor pressure. If appropriate, other aspects of social behaviour (e.g. de Bello et al. 2013) can be included as well.
Use of landforms as proxy for relief diversity is useful, and more appropriate for this type of analyses then e.g. aspect or elevation. They are easy to include in multicriteria analyses that are very often used method in various analyses in protected areas worldwide (e.g. Zhang et al. 2013; Riccioli et al. 2016). Furthermore, landforms are mostly well correlated with landscape categories,