Pregled bibliografske jedinice broj: 927530
Ecological niche modeling of kitchen sage (Salvia officinalis L.)
Ecological niche modeling of kitchen sage (Salvia officinalis L.) // 53rd Croatian & 13th International Symposium on Agriculture : abstracts / Rozman, Vlatka ; Antunović, Zvonko (ur.).
Osijek, 2018. str. 26-27 (poster, međunarodna recenzija, sažetak, znanstveni)
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Naslov
Ecological niche modeling of kitchen sage (Salvia officinalis L.)
Autori
Ljubičić, Ivica ; Horvat, Marija
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
53rd Croatian & 13th International Symposium on Agriculture : abstracts
/ Rozman, Vlatka ; Antunović, Zvonko - Osijek, 2018, 26-27
Skup
53. hrvatski i 13. međunarodni simpozij agronoma
Mjesto i datum
Vodice, Hrvatska, 18.02.2018. - 23.02.2018
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Salvia officinalis, ecological niche, modeling, maximum entropy, Croatia
Sažetak
The kitchen sage (Salvia officinalis L.) has long been known as a plant with many healing properties and especially the most famous essential oil. The ecological niche represents the sum of all environmental variables that affect the growth, survival and reproduction of species. Due to its great potential, the aim was build a model of ecological niche for kitchen sage of Croatia territory. Distribution of Salvia officinalis and its GPS coordinates were used for modeling ecological niches and taken from the Flora Croatica Database (FCD). Georeferenced raster climatic layers for 11 variables are downloaded from the WorldClim Database. Each vector point of the species is associated with the pixel value of each climatic variable. In Maxent 3.3. a prediction model is made using the maximum entropy method. The higher the pixel value, the greater the convenience of the habitat. The results show that Bio9 (mean temperature of driest quarter) has the greatest influence on the growth of sage with 34.8%. The model of ecological niche made on the basis of the climatic variables with a finer resolution (1x1km) showed more reliable results than the rough resolution.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Poljoprivreda (agronomija)