Modeliranje ekološke niše za ljekovitu kadulju (Salvia officinalis L.)

master's thesis

• Title (english): Modeling ecological niche for dalmatian sage (Salvia officinalis L.)
• Author: Marija Horvat
• Mentor: Ivica Ljubičić (mentor)
• Committee member: Ivica Ljubičić (predsjednik povjerenstva)
• Committee member: Sandro Bogdanović (član povjerenstva)
• Committee member: Vesna Židovec (član povjerenstva)
• Granter: University of Zagreb; Faculty of Agriculture; (Department of Agricultural Botany); Zagreb
• Defense date and country: 2017-09-28, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Agronomy

Abstract

Ljekovita kadulja (Salvia officinalis L.) od davnina je poznata kao biljka s mnogim ljekovitim svojstvima. Koristi se za ispiranje grla, zaustavljanje krvarenja na ranama i kao začin. Ipak, najpoznatije je kaduljino eterično ulje. Ekološka niša predstavlja zbroj svih faktora u okolišu koji utječu na rast, preživljavanje i reprodukciju vrsta. Zbog velikog potencijala cilj je napraviti model ekološke niše za ljekovitu kadulju. Metoda maksimalne entropije u programu Maxent 3.3. pokazala se pouzdanom u usporedbi s drugim metodama ekološkog modeliranja.
Područje istraživanja je mediteranski dio Hrvatske, koji se odlikuje sa suhim i vrućim ljetima te blagim i kišnim zimama. Za modeliranje ekološke niše bilo je potrebno pripremiti tablicu s podacima o njenoj distribuciji koja je preuzeta iz Flora Croatica Database baze podataka (FCD). Klimatske podloge u obliku rasterskih slojeva preuzete su iz WorldClim baze podataka i bilo ih je potrebno obraditi na istu rezoluciju, veličinu i koordinatni sustav (CRS). Svakoj točki prisutnosti vrste pridružena je vrijednost piksela svake klimatske varijable. Model je napravljen na temelju 11 klimatskih varijabli koje su prikazane u rasterskom obliku.
U programu Maxent 3.3. izrađen je prediktivni model metodom maksimalne entropije. Rezultati su dobiveni i prikazani u tabličnom i grafičkom prikazu. Što je veća vrijednost piksela, veća je povoljnost staništa. Rezultati pokazuju da varijabla Bio9 (srednja temperatura kvartala s najmanje padalina) ima najveći utjecaj na rast kadulje sa 34,8%. Grafički modeli prikazuju visok stupanj točnosti modela. Napravljena su dva modela ekološke niše sa različitim vrijednostima piksela, gruba rezolucija (2,5x2,5km) i fina rezolucija (1x1km). Model ekološke niše napravljen s finijom rezolucijom pokazao je pouzdanije rezultate u odnosu na grublju rezoluciju.

Abstract (english)

The dalmatian sage (Salvia officinalis L.) has long been known as a plant with many healing properties. It is used for throat flushing, stopping wound healing and as a spice. Still, the most famous is the evergreen essential oil. The ecological niche represents the sum of all environmental factors that affect the growth, survival and reproduction of species. Due to its great potential, the goal is to make a model of ecological niche for healing sage. Maxent 3.3 entropy method proved to be reliable against other modeling methods.
The area of research is the Adriatic coast which is characterized by dry and hot summers and mild and rainy winters. For modeling ecological niches, it is necessary to prepare a spreadsheet with data on its distribution from the Flora Croatica Database database. Climatic layers in the form of raster layers are downloaded from the WorldClim database and need to be processed at the same resolution, size and coordinate system. Each pixel point of the species is associated with the pixel value of each climatic variable. The model is made based on 11 climate variables that are shown in raster form.
In Maxent 3.3. a prediction model is made using the maximum entropy method. The results were obtained in the table and graphs. 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%. Graphics models show a high degree of model accuracy. Two ecological niche models with different pixel values, rough resolution (2.5x2.5km) and fine resolution (1x1km) were created. There are visible differences between models, tableaux and graphs.

• Keywords: Salvia officinalis; ekološka niša; maksimalna entropija; Hrvatska
• Keywords (english): Salvia officinalis; ecological niche; maximum entropy; Croatia
• Language: croatian
• URN:NBN: urn:nbn:hr:204:840946
• Study programme: Title: Horticulture; Study programme type: university; Study level: graduate; Academic / professional title: magistar/ magistra inženjer/inženjerka hortikulture (magistar/ magistra inženjer/inženjerka hortikulture)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2017-11-09 07:22:58