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Pregled bibliografske jedinice broj: 798797

GIS based methods for computing the mean extraction distance and its correction factors in Romanian mountain forests


Enache, Adrian; Pentek, Tibor; Ciobanu, Valentina Doina; Stampfer, Karl
GIS based methods for computing the mean extraction distance and its correction factors in Romanian mountain forests // Šumarski list : znanstveno-stručno i staleško glasilo Hrvatskoga šumarskog društva, 139 (2015), 1-2; 35-46 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 798797 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
GIS based methods for computing the mean extraction distance and its correction factors in Romanian mountain forests

Autori
Enache, Adrian ; Pentek, Tibor ; Ciobanu, Valentina Doina ; Stampfer, Karl

Izvornik
Šumarski list : znanstveno-stručno i staleško glasilo Hrvatskoga šumarskog društva (0373-1332) 139 (2015), 1-2; 35-46

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
mean extraction distance; forest roads; road network planning; model; process automation; GIS

Sažetak
Extraction distance is an important factor used for locating new forest roads. Correction factors should be used for adapting theoretical modelsto real life situations.The aim of thisstudy wasto show how extraction distance and the correction factors can be computed and used for assessing forestroad optionsin a more efficient and effective manner using process automation in GIS. The study was located in a mountain forest in the South Central Carpathians of Romania. For determining the mean extraction distance, 71.5 km ofskid trails were tracked in the field and mapped in GIS. Four computing methods were defined: raster method, grid point method, buffer strips method and centre of gravity method. For testing and validating the methods, four infrastructure scenarios were defined: one was describing the existing forest infrastructure and three otherswere proposing newroad options. Statistical analyseswere performed fortesting the accuracy and the possible differences between methods.The paired samplest-testsrevealed significant differences between scenarios proposing new forest roads and the current infrastructure conditions. The raster method, the grid point method and the buffer strip method reported high accuracy for computing the mean extraction distance. This study reported an extraction correction factor (ks) value of 1.50 and a total correction factor(kt) value of 3.40 which can be used forrough calculationsin practice. The automation models developed in GIS improved the efficiency of computations.The correction factors determined in thisstudywere comparablewith those reported in literature, highlighting the reliability of the analysed methods.

Izvorni jezik
Engleski

Znanstvena područja
Šumarstvo



POVEZANOST RADA


Ustanove:
Fakultet šumarstva i drvne tehnologije

Profili:

Avatar Url Tibor Pentek (autor)

Citiraj ovu publikaciju:

Enache, Adrian; Pentek, Tibor; Ciobanu, Valentina Doina; Stampfer, Karl
GIS based methods for computing the mean extraction distance and its correction factors in Romanian mountain forests // Šumarski list : znanstveno-stručno i staleško glasilo Hrvatskoga šumarskog društva, 139 (2015), 1-2; 35-46 (međunarodna recenzija, članak, znanstveni)
Enache, A., Pentek, T., Ciobanu, V. & Stampfer, K. (2015) GIS based methods for computing the mean extraction distance and its correction factors in Romanian mountain forests. Šumarski list : znanstveno-stručno i staleško glasilo Hrvatskoga šumarskog društva, 139 (1-2), 35-46.
@article{article, author = {Enache, Adrian and Pentek, Tibor and Ciobanu, Valentina Doina and Stampfer, Karl}, year = {2015}, pages = {35-46}, keywords = {mean extraction distance, forest roads, road network planning, model, process automation, GIS}, journal = {\v{S}umarski list : znanstveno-stru\v{c}no i stale\v{s}ko glasilo Hrvatskoga \v{s}umarskog dru\v{s}tva}, volume = {139}, number = {1-2}, issn = {0373-1332}, title = {GIS based methods for computing the mean extraction distance and its correction factors in Romanian mountain forests}, keyword = {mean extraction distance, forest roads, road network planning, model, process automation, GIS} }
@article{article, author = {Enache, Adrian and Pentek, Tibor and Ciobanu, Valentina Doina and Stampfer, Karl}, year = {2015}, pages = {35-46}, keywords = {mean extraction distance, forest roads, road network planning, model, process automation, GIS}, journal = {\v{S}umarski list : znanstveno-stru\v{c}no i stale\v{s}ko glasilo Hrvatskoga \v{s}umarskog dru\v{s}tva}, volume = {139}, number = {1-2}, issn = {0373-1332}, title = {GIS based methods for computing the mean extraction distance and its correction factors in Romanian mountain forests}, keyword = {mean extraction distance, forest roads, road network planning, model, process automation, GIS} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus





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