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Pregled bibliografske jedinice broj: 927530

Ecological niche modeling of kitchen sage (Salvia officinalis L.)


Ljubičić, Ivica; Horvat, Marija
Ecological niche modeling of kitchen sage (Salvia officinalis L.) // 53rd Croatian & 13th International Symposium on Agriculture : abstracts / Rozman, Vlatka ; Antunović, Zvonko (ur.).
Faculty of Agriculture, University Josip Juraj Strossmayer in Osijek: VIN Grafika, 2018. str. 26-27 (poster, međunarodna recenzija, sažetak, znanstveni)


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 - Faculty of Agriculture, University Josip Juraj Strossmayer in Osijek : VIN Grafika, 2018, 26-27

Skup
Croatian Symposium on Agriculture (53 ; 2018) ; International Symposium on Agriculture (13 ; 2018)

Mjesto i datum
Vodice, Hrvatska, 18.-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)



POVEZANOST RADA


Ustanove
Agronomski fakultet, Zagreb

Autor s matičnim brojem:
Ivica Ljubičić, (278501)