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Wyświetlanie 1-2 z 2
Tytuł:
Changes in Forest Area of Coastal Communes of Baltic Sea as a Result of the Impact of Tourist and Recreational Loads
Autorzy:
Parzych, Krzysztof
Parzych, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/124440.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
seaside community
forest areas
tourist use
forest indicator
Opis:
The seaside area is one of the most forested in the country. At the same time, the forests in the coastal zone are exposed to a strong anthropogenic pressure due to a high concentration of tourism development and tourism. The aim of the study was to analyze the changes in the forest area availability of the coastal tourist municipalities of the Baltic Sea Coast in connection with the changes in the area of tourism development and tourism in this area. The analysis was conducted in dynamic terms, taking into account the years 2000-2016. In this study, all the communes that directly border the Baltic Sea were taken into account as seaside communes. The statistical data of the Local Data Bank of the Central Statistical Office were used as the source material for the implementation of the research problem addressing: the changes in the area of total forests in all coastal communes of the Baltic Sea Coast in 2000-2016, the changes in the area and population of communes, and selected data on the tourist function of the coastal communes including the data on the number of facilities and beds as well as the number of tourists visiting the coastal communes of the Baltic Sea Coast between 2000-2016. In the coastal communes, in the years 2000-2016, the forest cover index increased from 23.3 to 24.1%. Since 2000, the forest area per 1 inhabitant increased from 1741 m2 to 2149 m2. The increase in the forest area and average forest area per capita occurred mainly in the rural communes, large communes with the highest forest cover indicators, in the urban communes while in the communes with a strongly developed tourism function, there was an opposite tendency. The increase in the tourism load on the forest areas and decrease in the availability of forests for tourists in the municipalities and communes with the largest tourist investment (Kołobrzeg, Międzyzdroje, Władysławowo) is observed. The anthropogenic pressure and the availability of forest decreases in communes with lower population and the marginal role of tourism in their socio-economic development (Choczewo, Trzebiatów, Smołdzino, Kamień Pomorski).
Źródło:
Journal of Ecological Engineering; 2020, 21, 4; 46-54
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Variability of the Water Quality Characterizing High Andean Lagoons for Tourist Use Evaluated Through Multivariate Statistical Methods, Junín, Peru
Autorzy:
Custodio, María
Miranda, Gloria
Peñaloza, Richard
De la Cruz, Heidi
Chanmé, Fernán
Powiązania:
https://bibliotekanauki.pl/articles/125460.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
water quality
high Andean lagoons
tourist use
indicators
multivariate statistical methods
Opis:
The spatial-temporal variability characterizing the water quality of high Andean lagoons for tourist use was evaluated using multivariate statistical methods during 2017 and 2018. The water samples were collected from 14 sampling sites, with three replicates each. The water quality indicators determined were: pH, temperature, DO, COD, BOD5, P, N, Fe, Cu, Cr, Cd, Pb, Zn and chlorophyll-a. The flat cluster analysis (k R cluster) according to Ward’s algorithm showed six significantly differentiated groups (α=0.01). In turn, the real similarity profile (SIMPROF) moves markedly away from the obtained low permutation with a large excess of Euclidean similarity with a Pi value of 0.627. The PCA showed that the first two components recommended by the sedimentation analysis (Scree test) indicated 61.52% of the total variation of the observations. According to the Spearman range correlation selection criterion, the variables that best interpret the sample distributions are COD, DTS, P, Cd and Zn with a correlation of 0.893, the DTS being the most important variable with a correlation value of 0.795. The PERMANOVA analysis according to the flat cluster factor indicated that at least one of the groups is different from the others in relation to the levels of physicochemical characteristics studied. Therefore, all the configured groups are statistically different, demonstrating that each lagoon is different in relation to its physicochemical indicators, according to the season in which it is found.
Źródło:
Journal of Ecological Engineering; 2019, 20, 8; 1-11
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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