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Znanstveno-stručno i staleško glasilo
Hrvatskoga šumarskoga društva
Journal of Forestry Society of Croatia
      Prvi puta izašao 1877. godine i neprekidno izlazi do današnjeg dana
   ISSN No.: 0373-1332              UDC 630* https://doi.org/10.31298/sl
upute autorima
WEB EDITION
ARHIVA ČASOPISA


HRČAK
select * from clancislEN where brojid=201701 and arb=1 order by id

 
RIJEČ UREDNIŠTVA
     
Uredništvo
WE EXPECT PROFESSIONAL UPGRADING IN FORESTRY     pdf     HR     EN 5
 
IZVORNI ZNANSTVENI ČLANCI
     
Ivan ANDRIĆ, Davorin KAJBA UDK 630* 111.8 + 181.8 (001)
https://doi.org/10.31298/sl.141.1-2.1
THE IMPACT OF ENVIRONMENTAL DRIVERS ON NARROW-LEAVED ASH (Fraxinus angustifolia Vahl) BUDBURST DATES     pdf     HR     EN 7
Ivan BALENOVIĆ, Ante SELETKOVIĆ, Renata PERNAR UDK 630* 587 (001)
https://doi.org/10.31298/sl.141.1-2.2
ACCURACY COMPARISON OF PHOTOGRAMMETRICALY ESTIMATED FOREST STAND ATTRIBUTES ON AERIAL IMAGES OF DIFFERENT SPATIAL RESOLUTION     pdf     HR     EN 15
Nedim TUNO, Admir MULAHUSIĆ, Jusuf TOPOLJAK, Alma ELEZOVIĆ UDK 630* 582 (001)
https://doi.org/10.31298/sl.141.1-2.3
POSITIONAL ACCURACY ASSESSMENT OF FOREST AREA BOUNDARIES OBTAINED BY OBJECT – ORIENTED CLASSIFICATION OF MULTISPECTRAL IMAGERY     pdf     HR     EN 29
Adrienne ORTMANN-AJKAI, Gábor CSICSEK, Márió LUKÁCS, Ferenc HORVÁTH UDK 630* 239 + 226 (001)
https://doi.org/10.31298/sl.141.1-2.4
REGENERATION PATTERNS IN A PEDUNCULATE OAK (Quercus robur L.) STRICT FOREST RESERVE IN SOUTHERN HUNGARY     pdf     HR     EN 39
Gonca Ece ÖZCAN UDK 630* 453 (001)
https://doi.org/10.31298/sl.141.1-2.5
ASSESSMENT OF Ips sexdentatus POPULATION CONSIDERING THE CAPTURE IN PHEROMONE TRAPS AND THEIR DAMAGES UNDER NON-EPIDEMIC CONDITIONS     pdf     HR     EN 47
 
PRETHODNO PRIOPĆENJE
     
Alen BERTA, Vladimir KUŠAN, Josip KRIŽAN, Denis STOJSAVLJEVIĆ, Dalibor HATIĆ UDK 630* 923
https://doi.org/10.31298/sl.141.1-2.6
ESTATE CHARACTERISTICS OF PRIVATE-OWNED FORESTS IN CROATIA ACCORDING TO REGIONS     pdf     HR     EN 57
Summary
Private owned forests occupy 22 % of the total forest and forest land area i.e. approximately 600,000 ha, according to Forest Management Plan for the area of the Republic of Croatia. Some of the private owned forest characteristics are as follows: small cadastral plots and estates, large number of landlords for the same area and great discrepancy of cadastral data. In this research, analyzed data about cadastral plots and landlords are taken from 319 cadastral municipalities (CM) distributed in 5 regions of the Republic of Croatia as well in 53 private owned forest management units. The sample represents 8.74 % of the Croatian area i.e. 15.69 % of the private owned forest area, according to the Forest Management Plan for the area of the Republic of Croatia. In addition to the statistical characteristic of the cadastral plots regarding regions, two cluster analyses are performed for better characterization of the regions. The first cluster analysis refers to the possession variables: average area of the cadastral plots inside CMs included in private-owned forest management plans (P-FMP), average area of the estates inside CMs included in P-FMP and average amount of the landlords in possession sheets by CMs included in P-FMP. Second cluster analysis refers to spatial variables: total area of the CMs, ratio of the forested areas by private-owned forests and ratio of the „non-forest” land according to cadastral land use data included in P-FMP.
This research gave us an insight about the most pronounced characteristic of each region and about unique relation of the observed characteristics for each region.
This research defines that regions Istria and Kvarner, Slavonija and central Croatia are more differentiated from the other regions in terms of possession variables, whilst the regions of Gorski kotar, Lika and Dalmatia are better explained with spatial variables as differentiation factor from other regions. Few principles are also confirmed as the results of the cluster analysis, for example the relation between the size of the cadastral plots and number of the landlords as well as relation regarding private owned forests ratio and ratio of the „non-forest“ land included in P-FMP.

Key words: private owned forests; cadastral plots; estate; forest landlords; cluster analysis

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