Popis urbane drevnine v mestu Logatec

magistrsko delo - 2. stopnja

Marko Gnezda (Author), David Hladnik (Mentor)

Abstract

Cilj raziskave je bil s popisom dreves v mestu Logatec narediti kataster urbane drevnine in ugotoviti drevesom njihovo vrsto, premer, višino, oceniti starost, njihovo poškodovanost vrha, krošnje in debla in predvideti potreben ukrep za skrb in vzdrževanje dreves. Popisali smo 1141 dreves. Evidentiranih je bilo 41 različnih vrst. Avtohtonih vrst je bilo 28, tujih vrst pa 13. Največ dreves je pripadalo drevesni vrsti Tilia platyphyllos % lipa (230 dreves), sledi Tilia Cordata % lipovec (196 dreves). Tretja najbolj pogosta vrsta je Picea abies % navadna smreka (131 dreves), sledi ji pa Acer pseudoplatanus % beli javor (87 dreves). Pogosta so bila tudi sadna drevesa (rodovi Prunus, Pyrus, Malus), ki skupaj štejejo 115 dreves. Ocenjevali smo tudi poškodovanost dreves po žledolomu 2014. Na 473 drevesih (41,5 %) ni predviden noben ukrep. Čiščenje krošnje je potrebno izvesti na 368 (32,3 %) drevesih, 176 (15,4 %) pa dreves je potrebno zamenjati. Z uporabo posnetkov zračnega laserskega snemanja smo hoteli predstaviti metodo daljinskega merjenja višin dreves v urbanem okolju. S to metodo je mogoče z dovolj veliko verjetnostjo za večino dreves oceniti višine dreves tudi z uporabo posnetkov z nižjim številom odbojev (N/m2). Manjših dreves in dreves v gostejših nasadih ni možno izmeriti natančno.

Keywords

popis;drevesa;urbano drevje;daljinsko zaznavanje;lidarsko snemanje;Logatec;

Data

Language:	Slovenian
Year of publishing:	2016
Typology:	2.09 - Master's Thesis
Organization:	UL BF - Biotechnical Faculty
Publisher:	[M. Gnezda]
UDC:	630*58(497.4Logatec)(043.2)=163.6
COBISS:	4509606
Views:	434
Downloads:	106
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Urban tree inventory in the town of Logatec
Secondary abstract:	The aim of the thesis was to make a survey of the trees in the town of Logatec and to determine the species, dimension parameters, to estimate their age, the damage to tree habitus and to determine neccessary measures to ensure proper care and maintenance of trees. We inventorized 1141 trees and determined 41 different species. Most of the trees belonged to the Tilia platyphyllos (230 trees) species, followed by Tilia cordata (196 trees). Third most common species was Picea abies (131 trees) and fourth was Acer pseudoplatanus (87 trees). Fruit trees were common as well. We estimated the damage done by the sleet in 2014. On 473 trees (41,7 %) no measure needs to be taken. Tree-crown cleaning needs to be done on 368 trees (32,3 %), 176 trees (15,4 %) need to be replaced with new ones, due to damage. By using aerial LiDAR data we wanted to present a method of remote sensing of tree heights in an urban area. We determined that when using data with low density of returns per m2 we can estimate tree height classes for most of the trees. Small trees and trees in groups cannot be estimated accurately.
Type (COBISS):	Master's thesis/paper
Thesis comment:	Univ. v Ljubljani, Biotehniška fakulteta, Oddelek za gozdarstvo in obnovljive gozdne vire
Pages:	IX, 72 f., [3] f. pril.
ID:	11564875