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1.
Data Brief ; 31: 105672, 2020 Aug.
Article in English | MEDLINE | ID: mdl-32490065

ABSTRACT

Beach landscape Dataset of Fernando de Noronha Island (Brazil), using a checklist with 26 physical and human parameters. Fernando de Noronha beaches were divided into sectors according to the landscape diversity. In total, 19 sectors were evaluated based on observations done during walks in the area, observations from viewpoints, with remote data. The evaluations were performed during fieldwork from 2014 (summer) and 2016 (spring). The landscape quality evaluation of Fernando de Noronha was performed using the Coastal Scenery Evaluation System. This method converts qualitative-quantitative data in quantitative data by estimating weights for 26 parameters (18 physical parameters - P - and 8 human-related parameters - H). The main parameters that define the landscape quality are classified from 1 (absence/bad quality) to 5 (presence/excellent quality). A mathematical model based on fuzzy logic was utilized to integrate the parameters weights in a special system for the scenarios classifications resulting in a value named D. The D-value is the indicator of the attractiveness of the evaluated place. The beaches are divided into classes ranging from 1 (extremely attractive natural site) to 5 (unattractive urban areas).

2.
Mar Pollut Bull ; 150: 110621, 2020 Jan.
Article in English | MEDLINE | ID: mdl-31669708

ABSTRACT

The Coastal Scenery Evaluation System was used to analyze the landscape of touristic beaches at the Fernando de Noronha Archipelago, using a checklist with 26 physical and human parameters. The beaches are divided into classes ranging from 1 (extremely attractive natural site) to 5 (unattractive urban areas). The data reflects the natural and anthropogenic characteristics of the coastal Noronha scenery, which have international relevance and are between classes 1-4. Class 3 and 4 beaches are associated with anthropogenic factors/parameters. Seasonal sedimentary stock variation has also contributed to the differences in classes between the seasons at some beaches. The results of this study are useful to create new perspectives for sustainable development based on the singularities of this touristic resource - the landscape. The Fernando de Noronha Archipelago depends on its landscapes for tourism. Therefore, government policies should seek the sustainable management of its beaches, so as to ensure the protection of natural and cultural resources.


Subject(s)
Conservation of Natural Resources , Travel , Brazil , Humans , Islands
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