Utjecaj prostorne preciznosti koroloških podataka na modele povoljnosti staništa invazivnih biljaka

master's thesis

• Title (english): Analysing impact of spatial accuracy on habitat suitability models for invasive plants
• Author: Anja Orešković
• Mentor: Sven Jelaska (mentor)
• Committee member: Sven Jelaska (predsjednik povjerenstva)
• Committee member: Jasna Lajtner (član povjerenstva)
• Committee member: Tomislav Ivanković (član povjerenstva)
• Committee member: Toni Nikolić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Biology); Zagreb
• Defense date and country: 2017-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Biology

Abstract

Invazivne vrste velik su problem današnjice, te se za njihovo suzbijanje ulažu velika financijska sredstva. Modeli povoljnosti staništa odličan su alat za procjenu potencijalnog rasprostranjenja invazivnih vrsta čime se olakšava proces suzbijanja i traženja istih. Algoritam koji je korišten u ovom istraživanju je MaxEnt. Izvedba modela ovisit će o kvaliteti ulaznih podataka o modeliranim vrstama i setu okolišnih varijabli različite prostorne razlučivosti na temelju kojih se modelira rasprostranjenost pojedine vrste. Modelirano je petnaest invazivnih i pet autohtonih vrsta, dok je za vrste Erigeron annuus (L.) Pers. i Robinia pseudoacacia L. napravljena detaljna usporedba utjecaja prostorne razlučivosti okolišnih podloga. Prostorna preciznost koroloških podataka pokazala se važnija za izvedbu modela od veličine uzorka i prostorne razlučivosti okolišnih podataka. Također, model koji koristi korološke podatke veće prostorne preciznosti, poput GPS koordinata, imat će točniju izvedbu, te neće doći do precjenjivanja modeliranih površina pogodnog staništa.

Abstract (english)

Invasive species are a major problem today, and governments invest huge financial resources in order to control them. Species distribution models are an excellent tool for assessing the potential spread of invasive species, thus facilitating the process of suppressing and searching for them. The algorithm used in this research is MaxEnt. The model performance will depend on the quality of input data on modeled species and the set of environmental variables of different spatial resolution based on which the distribution of a particular species is modeled. Fifteen invasive and five indigenous species were modeled, while for Erigeron annuus (L.) Pers. and Robinia pseudoacacia L. species a detailed comparison of the spatial resolution of environmental variables was made. Spatial precision of chorological data proved to be more important for the model performance than sample size and spatial resolution of environmental data. Moreover, a model that uses spatial data of greater position accuracy, such as GPS coordinates, will have a more accurate performance and will not overestimate the modeled surfaces of a suitable habitat.

• Keywords: MaxEnt; invazivne biljke; prostorna preciznost; veličina uzorka; prostorna razlučivost
• Keywords (english): MaxEnt; invasive plants; positional accuracy; sample size; spatial resolution
• Language: croatian
• URN:NBN: urn:nbn:hr:217:587020
• Study programme: Title: Ecology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra ekologije i zaštite prirode (magistar/magistra ekologije i zaštite prirode)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access; Embargo expiration date: 2019-09-26
• Created on: 2017-10-20 11:13:58